Exploring local views on strengths and challenges in pre-service education for skilled birth attendants, skilled health professionals, and midwives in Nepal

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Varying quality of care provided by health professionals is recognized as a contributor to this gap. Nepal has made exemplary progress in reducing maternal and neonatal mortality, making it a critical setting to analyse the strengths and challenges of pre-service education and training programs for skilled birth attendants (SBAs), skilled health personnels (SHP) and midwives. This research was conducted as part of a multi-country study to assess the quality of pre-service education of health professionals providing childbirth care and to enhance the measurement related to the coverage of SBAs and SHP. Twenty-four key informant interviews were conducted in Nepal with educational institutions, development partners, government, regulatory and professional bodies. Pre-service training curricula were analysed in comparison to global standards set by the International Confederation of Midwives. Respondents discussed relatively robust pre-service curricula, qualified educators, and sufficient infrastructure across SBAs and SHP training programs, especially the Bachelors of Midwifery programs. Challenges included a misaligned job market for the numbers of each cadre trained (i.e., insufficient positions for midwives), delays in the implementation and launch of new SHP training modules, and recent changes in regulation which may have impacted clarity of responsibilities, oversight and quality of pre-service education. Curricula assessments covered most competencies, with some gaps related to care during labour and birth. This work identifies strengths, challenges and recommendations for the implementation of a maternal and newborn health (MNH) program to improve SBA/SHP training and develop a new cadre of midwives in Nepal. Recommendations include implementing multiple pathways to train in-service SBAs and SHP, developing job posts for midwives, accelerating the launch of the SHP training modules, and clarifying responsibilities for regulation. These are crucial for sustainable improvements in the quality of MNH care and for meeting the SDG for MNH. Health sciences/Health care/Health policy Health sciences/Health care/Public health/Epidemiology Main For decades, improving the health of women and newborns has remained a central focus of global development efforts 1,2 . The Sustainable Development Goals (SDGs), along with earlier international frameworks, have established key targets for maternal and newborn health (MNH), including increased coverage of births attended by skilled birth attendants (SBA) or skilled health personnel (SHP) 3,4 . Despite these commitments, many countries continue to fall short of achieving the MNH-related targets outlined in the 2030 SDG agenda 5 . Global initiatives such as Ending Preventable Maternal Mortality (EPMM) 6 and Every Newborn Action Plan (ENAP) 7 now known as Every Women Every Newborn Everywhere (EWENE) 8 have supported countries in reinvesting in MNH through the development of national strategic plans, policy reforms, and programmatic revisions aimed at ensuring access to evidence-based, quality care. A core progress indicator adopted by these initiatives is SDG 3.1.2: the proportion of births attended by skilled health personnel. While many countries report increased coverage of births attended by SHP, this has not consistently translated into expected reductions in maternal and newborn mortality 5 . In response, the World Health Organization (WHO) and partners in 2018 initiated a process to clarify and refine the definition of the widely used term “skilled birth attendant” (SBA) 9 , with the goal of improving and operationalizing the measurement of births attended by skilled health personnel. The definition emphasizes: accreditation, education and training, scope of practice and contextual relevance. Box 1 displays the 2018 WHO definition of skilled health personnel 9 . Nepal is one country that has made substantial improvements in maternal and newborn health outcomes over time. Maternal mortality ratio (MMR) and neonatal mortality rate (NMR) in Nepal have declined at an average annual rate of 5.2% and 3.7% respectively from 2000 to 2023. 10,11 As a result, Nepal has been recognized as an “Exemplar” country in MNH and other public health areas by an international program known as Exemplars in Global Health 12,13 . A range of factors have been identified as driving maternal and neonatal mortality, and stillbirth declines 14 . While earlier efforts primarily emphasized encouraging women to give birth in health facilities, recent years have seen a growing recognition that the quality of care provided to women and newborns within these facilities is equally critical 15 . The quality of care that women and newborns receive has been established as one of the distinguishing characteristics for countries that succeed in meeting development goals 16 . Studies routinely demonstrate wide variance in the clinical skills and effectiveness of SBAs and SHP, partially driven by gaps in pre-service training 17,18 . Case studies of Nepal’s success have confirmed the importance of quality of care to MNH improvement, alongside strong policymaking over the past few decades 12,19 . In 2006, as part of the Safe Motherhood initiative, Nepal implemented its National Policy on SBA 20 to increase the skill level of existing SBAs through evidence-based in-service SBA training, incorporating core midwifery competencies into existing pre-service curricula, and training of additional SBAs. Further, the policy proposed the creation of a midwifery cadre for front-line MNH care including the development of the Bachelor of Midwifery program (B.Mid) 21 . In 2018 the Nepali government updated the Safe Motherhood and Newborn Health Roadmap, as well as the Strategy for Skilled Health Personnel and Skilled Birth Attendants 2020 to 2025, which identified short- and long-term strategies to improve outcomes. The strategy focused on improving the skills, training, and deployment of current staff through in-service training, improving training of nurses, as well as creating a cadre of midwives 22 . It should be noted that in Nepal, SBA and SHP are considered providers with different competencies (Supplementary Table 1). And yet, even in a context with some of the most rapid improvements in MNH, in-depth studies have shown important gaps that remain in the quality of care that women and newborns and receive in Nepal. Rajbhandari et al. found that in a cross-sectional analysis of 511 SBAs across facility types and geographies, Nepal scored an average of 75% on a knowledge assessment and 47% on a clinical skills assessment, both falling below the 80% standard needed to pass training 23 . In response, Nepal launched a follow-up program that provided supportive supervision and in-service training for SBAs, adopted in 47 of 77 districts by 2021 24 . Current evidence emphasizes the need for action and implementation of policies that improve SHP pre-service education programs, enforce standards of practice, and create enabling environments for high quality MNH care across South Asia – especially as countries approach the SDG goals and begin to scale-up midwifery models of care 17 . To date, few studies have explored contributors of competency gaps among SBAs, SHP and midwives in Nepal, especially focusing on pre-service education and training programs. To fill that evidence gap, and to facilitate others to learn from the successes of Nepal as they scale up human resources for health, this study aims to explore strengths and challenges in pre-service education and training programs for SBAs, SHP, and midwives in Nepal. We leverage local perspectives to generate deep, granular insights about implementation of these programs and opportunities for continued improvement going forward. Box 1. The 2018 definition of skilled health personnel (competent health care professionals) 9 Methods Study design This research was conducted as part of a multi-country, mixed-methods study to enhance the understanding of how the coverage of SBAs and SHP could be more reliably measured, including developing a valid metric and including all the concepts of the 2018 SHP definition 9 . This project was conducted in Nepal, Senegal and Zambia, three countries involved in a program known as Exemplars in Global Health (EGH). EGH is a partnership dedicated to learning from countries that have demonstrated exceptional progress in a range of health areas, such as MNH 13 . This project included cross-country quantitative research as well as qualitative research components in all three study countries. This article specifically focuses on the study in Nepal, based on qualitative research from key informant interviews, and an assessment of the pre-service training curricula for health care workers providing childbirth care according to the International Confederation of Midwives (ICM) Essential Competencies for Midwifery Practice competencies framework, 2019 update 25 . Sampling design and frame The purposive sampling method was leveraged to select study participants, including key policy makers directly involved in the development of SBAs and SHP programs including B.Mid, as well as participants with experience in MNH policy making, pre-service education, human resource development, and SDG measurement and reporting. A total of twenty-four participants were selected for the study from across different types of relevant organizations and educational programs. Participants were contacted in advance via email sent on behalf of the Family Welfare Division, Ministry of Health and Population. Interviews were scheduled at times convenient to each participant and conducted between July and September 2023. Study population We divided the participating organizations and interviewees into five major groups: 1) educational institutions, including medical, nursing and midwifery colleges, 2) international organizations and external development partners 3) government bodies, 4) regulatory bodies for standards and accreditation, and 5) professional organizations. Participants from government bodies were from local, regional, and national levels, including the Ministry of Health and Population. Additional stakeholders were chosen from Sudurpashchim Province as it hosts a nursing and midwifery educational institution with a nurse/midwife-led birthing centre. Data collection process All participants were interviewed in person by the research team, which consisted of two interviewers (DD, GR) and a note taker (HP). Interviews lasted approximately 90 minutes and were conducted in Nepali. Permission to audio record the interview was obtained from all participants. Data collection tools Semi-structured interview guides were developed for each of the interviewee groups based on the study protocol adapted to fit the Nepalese context (Supplementary Fig. 1). The interview guides were pilot-tested, and further refined with support from the Family Welfare Division and the Nursing and Social Security Division. Coverage of competencies related to childbirth care in pre-service training curricula Data extraction was performed by two members of the team (AM and SD) and each of the five curricula included in the study were reviewed several times to determine the content related to the third category “labour and birth care” according to the International Confederation of Midwives (ICM) framework 25 . The 54 indicators (19 knowledge, 35 skills and behaviours) included in this category were considered equally important, and 1 point was given for the presence of each indicator in the curriculum document. The content of the curriculum was considered to have met the ICM framework third category competencies if the 54 indicators (maximum score) were included in the curriculum. For each curriculum a summary score was calculated. All available and pertinent pre-service training curricula were included in this component of the assessment. The five pre-service curricula include: Bachelor of Midwifery (B.Mid) 26 , Proficiency Certificate Level in Midwifery 27 , Bachelor of Nursing Science 28 , Proficiency Certificate Level in Nursing 29 , Medical Doctor Obstetrics/Gynecology 30 . Curriculum was not assessed for auxiliary nurse-midwife (ANM) who are considered SBAs as only a teaching plan was located for their pre-service curricula. SBA in-service training programs were not assessed in this analysis as they are used to train several cadres (i.e. nurse, doctor) and would not be comparable against pre-service education programs. Data management and analysis Team members transcribed the interviews verbatim in Nepali and then translated them into English. All data were transcribed and analyzed manually without the use of analytical software. To maintain confidentiality, we assigned abbreviations (P1, P2, ... P24) to each key informant and no personal identities of participants were revealed. The data were securely stored at the Center for Molecular Dynamics Nepal office and password protected. The qualitative data were analyzed using thematic analysis following Delve’s six steps approach focusing on a) analysis of strengths and challenges of education institutions, international organizations/external development partners, government bodies, regulatory bodies and non-governmental organizations and b) thematic analysis of the commonalities in the subjects that respondents perceived as important to discuss 31,32 . Two interviewers coded interview data. Appropriate excerpts were identified and linked to a particular pattern derived from the initial coding process. Themes were derived deductively based on the research objective and inductively from emerging patterns in the data. All excerpts associated with a particular code were grouped together. Initial codes were then sorted into potential sub-themes, which were subsequently used to generate overarching themes. After reviewing the themes, a detailed analysis was conducted for each theme, supported by verbatim excerpts. Ethical considerations Ethical approval was obtained from the Nepal Health Research Council prior to the start of the project and was conducted in compliance with ethical and human rights standards (Reference number: 3306). All participants were informed about the purpose of the project, the voluntary nature of their participation, potential risks and benefits of the study, and their rights to decide whether to participate and to abstain from answering any particular question(s). Written consent was obtained from all participants before their involvement in the study. Results A total of twenty-four participants were interviewed from a range of organizations (Table 1). Thirteen participants were female and eleven were male. Results herein are organized by the type of organization. Within each organizational group, we have analyzed the strengths and challenges highlighted by participants from that group. Additional quotes for some sections, including professional organizations, are included in Supplementary Fig. 2. Educational institutions Strengths Learning practical skills: Respondents shared that students learn practical skills through their programs while being supervised by clinical staff: “Students are posted in various wards i.e. antenatal care, labor room, postnatal care in rotation where they perform all duties assigned to them including conducting deliveries under the supervision of midwifery educators. Apart from this, they are posted at community and are also responsible for follow up of postnatal mothers”. Instructor qualification, training, and job attributes: The academic background and continuous medical training of the educators were highlighted by participants from educational institutions (details in Supplementary Fig. 2). Most of the participants were satisfied with the salary and career development opportunities provided by their institution. Integration of academic and clinical roles: In some institutions, midwifery educators are involved in both teaching and clinical practice, allowing them to stay updated on clinical advancements and maintain their skills (Supplementary Fig. 2). Respondents shared that this helps bridge the gap between theory and practice in SBAs and SHP education and enhance quality of education for students. Sufficient learning resources, infrastructure, and equipment: Broadly, representatives from many colleges shared that their facilities had sufficient learning resources, classroom and laboratory space, and practical training facilities, especially stakeholders involved in the B.Mid midwifery program (see Supplementary Fig. 2 and Supplementary Table 2 for more details). One stakeholder shared: “Our institute has adequate classroom space for students, library facilities, access to teaching learning materials and aids, sufficient clinical learning sites with adequate patient flow, access to curriculum on the days of admission and skill labs.” Another stakeholder shared that for their institution in particular: “We have the best simulation lab in the nation, where our students practice before clinical placement”. Nurse/midwife-led birthing centres: Four of six midwifery teaching institutions have also established nurse/midwife-led birthing centres (Supplementary Fig. 2). In addition to enabling nurses and midwives to independently manage lower-risk births, these centres also offer a learning environment for trainees. One participant noted: “We have competent and skilful nurses who independently provide delivery care in Birthing Center. They follow Midwifery Model of Care, respectful maternity for normal physiological birth. The mother and family member are satisfied with the care provided to them by nurses”. Challenges Low enrolment in midwifery programs: Low enrolment was reported specifically for the B.Mid program , partially driven by the lack of midwifery employment opportunities post-graduation. Furthermore, despite support by scholarships to fill seats in the midwifery programs, many students are unwilling to pay for this program because of a lack of employment opportunities in the public sector for qualified midwives. One KI said that “in B.Mid, 75% of the seats are of scholarship, only these seats are fully occupied whereas the remaining 25% pay seats are vacant. This concerns us because students are unwilling to pay to study B.Mid.” Another respondent from a private institution shared that “only 10% of the seats that are of scholarship are occupied. As we are a private university, we only provide those 10% of seats for scholarships, and the rest remain vacant due to a lack of interest from non-scholarship students.” However, some interviewees shared ideas to improve midwifery education in the Nepalese context: “I would recommend one year bridge course for nurses in midwifery…It is more practical and economical to provide bridge course….” . Government bodies Strengths Collaborative planning for SBAs and SHP workforce: The national government is responsible for the preparation of national policies, strategies, and regulations regarding SHP training and accreditation, as well as guidelines, protocols and standards regarding SHP training. Various teams across the Ministry of Health and Population (MoHP), other government organizations, and international development partners work collaboratively to plan for SBA/SHP workforce development. This includes the regulation and monitoring of the SHP modular training package. Data systems for Health Management Information System (HMIS): The government also has developed data systems for health facilities, known as the “HMIS data highway”. The government collects monthly reports from all health facilities including the number of deliveries, information on emergency referral, availability of essential medications and commodities, and other information. Routine data quality assessments are performed automatically and reviewed several times a year. The HMIS system separately documents deliveries conducted by SBAs and by SHP. Challenges Lack of career opportunities for midwifery-specific roles: Several interviewees noted that midwifery graduates face difficulties finding a job, as no midwifery-specific positions currently exist within the government health system. Some respondents shared that no new public sector midwifery posts have been created since the midwifery programs’ inception, though a survey has been conducted about the quantity of midwives needed. One participant stated, “No bond for passed out midwifery students as the government has no midwife posts in the MOHP.” Newly graduated midwives are often recruited for different roles in a health facility or choose to pursue opportunities outside of Nepal (more quotes in Supplementary Fig. 2). Finding domain-specific employment for other SBAs and SHP cadres: Respondents reported that healthcare workers trained as SBAs face challenges with deployment, including being placed in positions that do not match their training or in lower positions than their level of qualification. A respondent shared their perspective: “After SBA training, staffs are transferred into different departments such as Surgery and Medicine as per the need of health facilities .” Another interviewee shared that “even after completion of bachelor level, nurses are recruited in the post of staff nurse (diploma level) on a contract basis. This leads to frustration and increasing brain drain in Nepalese nurses.” Furthermore, the issue of personnel retention was raised by many respondents, with one interviewee noting that “retention is an issue. Some posts in rural health facilities remain vacant because SBAs [healthcare workers] posted to rural areas demand transfer to major cities like Kathmandu” . Delays in SHP in-service training implementation: Nepal set a long-term strategy to improve the childbirth care skills of existing SBA workers and replace SBAs with SHP (Supplementary Table 1 for definition). SBAs in-service training has been ongoing since 2006 and was expected to wind down after 2011, however, there has been a marked delay in the commencement of the midwifery programs and SHP training modules. SHP training modules are being developed by the National Health Training Center under the MoHP. The replacement of SBAs with SHP also entails phasing out the auxiliary nurse-midwife (ANM) cadre, which presents a challenge given the important role of the ANM cadre in rural areas and lower-level health facilities. Key government informants spoke about this delay, with one participant indicating that “SHP training modules are not ready yet and therefore training has not yet started, so it is not clear when SHP production will start.” Many participants were reluctant to comment on SHP training before its implementation. Though many stakeholders in Nepal shared their preference to have SHP instead of SBA working in health facilities, one stakeholder shared their concerns: “the question arises of implementation of the plan to produce SHP, on the other hand, SBAs [in-service] training is ongoing and functioning effectively all in rural and urban areas of country.” Opportunities to improve HMIS data systems: Respondents highlighted opportunities to improve the HMIS system specifically with hospitals in urban areas and emergency referral for mother and newborns. Opportunities to improve HR database: The human resources database is maintained by MoHP, however, has faced some challenges since federalization occurred in 2016. Respondents highlighted that there may be opportunities to update the data systems to consider all human resources for health across local, provincial, and national levels, inclusive of contract workers. Regulatory bodies The Medical Education Commission (MEC), established recently in 2018, plays a key role in Nepal’s pre-service education system for health professionals. MEC’s responsibilities include overseeing standards for accreditation of institutions, allocating students to pre-service programs, and developing core curriculum. Nepal Medical Council (NMC) and Nepal Nursing Council (NNC) are responsible for licensing, relicensing, and continuing medical education. Supplementary Table 3 shares the division of responsibilities between MEC, councils, and universities after 2018. Separate from pre-service education, MoHP is responsible for SBAs and SHP in-service training modules. Strengths Unified standards for entrance examination, curriculum, and accreditation: Respondents shared that the shift to MEC has resulted in a single nationwide standard for various components of pre-service education. Universities used to conduct their own entrance examination, whereas now a common entrance exam is held for all schools. Universities now also develop curriculum based on the standardized MEC curriculum. Challenges Limited involvement from councils in MEC accreditation and curriculum processes: Several respondents shared the significant changes that occurred in nursing and midwifery pre-service education regulation after the MEC was formed in 2018, which decreased the involvement of NMC and NNC in key regulatory functions: “Initially, accreditation, approval of pre-service curriculum was our responsibility. However, after MEC took over, we are limited to licensing and re licensing. What concerns me is that there is limited representation from our side in core curriculum development. Furthermore, we are not involved in inspection and supervision of colleges and hospitals.” Lack of nurse and midwife representation in MEC: Some interviewees have noted that nurses and midwives are not sufficiently involved in curriculum development: “although the core curriculum for midwifery is developed by MEC, there is limited feedback and involvement from nurses and midwives in revising and improving the curriculum.” International organizations and external development partners Strengths Strong international collaboration: Nepal works closely with several international organizations providing technical and financial assistance to MNH programs, including the training of SBA and SHP development of key policies, and support strengthening emergency health services (Supplementary Fig. 2). United States Agency for International Development provided financial support for the Nepal Demographic and Health Survey (DHS) and supported its customization to the local context. Strong usage of data collection and program evaluations: Nepal actively leverages monitoring and evaluation programs to assess and improve their health programs and to shape future policies. Several of these data collection efforts were funded by external development partners. Participants noted that the Nursing and Social Security Division (NSSD) is addressing some of the challenges in SBA and SHP education and training through a National Nursing and Midwifery Strategy and Action Plan for 2020-30, which aims to support the production and deployment of professional midwives (currently not available in the public domain). Challenges Varying understanding of SBA and SHP between organizations: There are differences among development partners in strategies for production of healthcare workers to improve the quality of MNH services. Some organizations fully support the transition to midwifery, noting that shifts are still required for successful implementation. Other organizations have been supporting the National Health Training Center to develop, finalize, and test the SHP in-service training modules (Supplementary Fig. 2). External partners have noted a concern that if measured in a future survey, the proportion of deliveries conducted by SHP would be lower than proportion of deliveries conducted by SBAs, as ANMs are excluded from the cadres considered SHP (Supplementary Table 1). Coverage of competencies related to childbirth care in pre-service training curricula We assessed five pre-service training curricula (Table 2 and additional details in Supplementary Table 4). Programs were overall found to cover the majority of assessed ICM midwifery competencies, with these five programs ranging from 65% to 89% coverage of competencies in the “care during labour and birth” category. Discussion Nepal has made significant progress in reducing maternal and neonatal mortality, having been identified as an Exemplar for these health improvements and the SBAs and /SHP programs that have driven them 12 . As MMR and NMR continue to decline, increases in health service coverage alone may not be enough to drive continued progress. Instead, as recent global studies have concluded, improving the quality of MNH services will be increasingly important 33 . One important aspect of improving quality is ensuring that health professionals are better trained, regulated, supervised, and equipped to deliver evidence-based care. Midwifery pre-service education programs in Nepal are helping to strengthen the health workforce delivering childbirth care, but the number of graduates has not been scaled sufficiently to create a new professional midwifery workforce large enough to replace the ANM cadre. Several interviewees in this study reported that their perception of the B.Mid program in Nepal was that it was moving in a positive direction, inclusive of practical training and clinical components. The program, which was launched in 2016 at the Kathmandu University School of Medical Sciences, expanded to six institutions over five years, including National Academy of Medical Sciences in 2017, Karnali Academy of Health Sciences in 2018, and Patan Academy of Health Sciences in 2022. By 2021, 66 midwives had graduated, and 100 students were enrolled in B.Mid programs (unpublished data). This is lower than the estimates in the Strategy for Skilled Health Personnel and Skilled Birth Attendants 2020-2025, projecting that against the total of 5,558 midwives needed by 2025, 753 midwives would have joined the workforce. 22 Our assessment of the coverage of competencies in pre-service curricula for childbirth care providers revealed that the majority of assessed midwifery competencies are covered, reflecting Nepal’s investments in leveraging evidence-based practices and updating these educational programs over the past few decades 20,22 . Still, some curricula could be further enhanced to ensure alignment with the ICM framework 25 and by integrating the latest MNH care guidelines and other pertinent literature. Further research into pre-service education programs may employ direct observation both in the classroom and in practical components to assess pedagogical methods and assessment strategies. Despite comprehensive pre-service education programs, limited midwifery-specific job prospects contribute to low enrollment in B.Mid programs. Without applicants for the non-scholarship seats, a midwifery program may operate at a lower capacity, hindering long-term program sustainability. Students may be more likely to enrol if they perceive strong career pathways are available post-graduation. Avenues to create jobs may include creating new midwifery posts in the public sector, converting existing MNH posts in the public sector to midwifery posts and teaching midwifery skills to nurses. The government has also approved a shorter 3-year direct-entry certificate-level midwifery course (PCL) under the Council for Technical Education and Vocational Training, however, had not yet put this course into practice at the time of research The midwifery bridge course for nurses also remains under discussion (unpublished but discussed in interviews). Ensuring SBAs and SHP deployment to more rural and remote locations is also crucial to improve quality of care where access to other facilities and specialized health professionals may be more limited. Human resources for health (HRH) distribution have historically been a challenge in Nepal, with lower HRH density in mountain districts and remote parts of Karnali and Sudurpashchim. Accelerating the implementation of SHP training modules in these areas can have the most significant impact. Even as training gradually shifts to more SHP training than SBAs, it may be important to maintain SBAs training for the ANM cadre given the importance of this role in lower-level facilities 23 . Although this study advances the understanding of SBAs and MNH quality of care in Nepal, previous studies support the findings to some extent 34 . Karkee et al. interviewed 36 key informants in Nepal to understand perspectives on policies responsible for the reduction in maternal mortality and reasons for recent stagnation 35 . Their recommendations included improving the allocation of SBAs, strengthening midwifery education, and increasing supervision and mentorship of in-service staff. Similarly, Rajbhandari et al.’s work assessing knowledge and clinical skills of SBAs suggests that regular post-training follow-up and national programs to monitor skills are critical to assuring the competence of SBAs, including designing effective programs for SBAs at lower-level facilities 23 . As other studies have shown, quality of care depends not only on the training and competencies of SBAs, but also the enabling environments within which care is provided. MoHP and NSI, 2018, found that SBAs in Nepal had access to an average of 83% of items on a checklist of 17 key enabling environment indicators. 36 Karki et al. combined Nepali household and facility data to determine the proportion of births that took place in a sufficient enabling environment for routine and complicated deliveries. 37 This work found substantially reduced quality-adjusted coverage from crude coverage, providing additional evidence to suggest increases in the components of quality are needed. Along with ensuring adequate enabling environments, improvements in SBAs and SHP pre-service and in-service education are a pathway to improve provider skills, ultimately increasing the quality-of-care provision to mothers and newborns. This study has several limitations. While the interviews included multiple perspectives from each organizational group, the sample size was limited to 24 key informants. Purposive sampling in this study was focused on capturing perspectives from leaders in their respective fields. The accuracy of recall and assessment provided by informants may have been biased in certain ways as well; accuracy in translation from Nepali to English could also affect the interpretation of findings. As with all data from key informant interviews, a range of cognitive biases may have skewed this data towards more recent observations and events with more memorable significance. As it is difficult to analyze many of the issues explored in this evaluation quantitatively, we rely on concordance between informant’s responses as the manner of understanding the extent of these biases. Despite limitations, this work contributes significant new information to the understanding of factors which drive quality of care in Nepal, leading to recommendations both locally and internationally. The government of Nepal could consider additional opportunities for the creation of midwifery posts in the areas of highest need. Follow-up assessments may be necessary to understand the constraints that have led to limited job posts for new graduates. More frequent and systematic assessments of SBAs and SHP in Nepal could also be helpful to monitor progress. Internationally, these findings add to the growing body of evidence that demonstrates the importance of enhancing the consistency between training programs to national and international guidelines, and the importance of the quality of pedagogy beyond simply curriculum including practical skills-based learning, and educator training. 38 With global advocacy around transitioning to midwifery models of care, knowledge about how to implement high-quality education, training and enabling environments will be crucial to develop strong midwifery cadres in low- and middle-income countries. To accelerate progress toward international MNH targets through improved quality of care, two strategic approaches are essential. First, national policymakers, program managers, and international stakeholders—including guideline developers and funders—must actively seek to learn from “exemplar” countries that have demonstrated sustained improvements in MNH outcomes. Second, research must delve into the complex and interrelated processes that shape the care received by women and newborns. Only through such in-depth qualitative inquiry can actionable recommendations be generated—both for the countries themselves and for their peers—if the global community is to meet the MNH-related SDG targets by 2030. Abbreviations ANM: auxiliary nurse midwife B.Mid: Bachelor of midwifery CEONC: comprehensive emergency obstetric and neonatal care CME: continuing medical education CNE: continuing nursing education CTEVT: Council for Technical Education and Vocational Training DHS: Demographic and Health Survey EGH: Exemplars in Global Health ENAP: every newborn action plan EPMM: ending preventable maternal mortality EWENE: every woman every newborn everywhere HRH: human resources for health HMIS: Health Management Information System ICM: International Confederation of Midwives MBBS: Bachelor of Medicine, Bachelor of Surgery MEC: Medical Education Commission MD: medical doctor MNH: maternal and neonatal health MMR: maternal mortality ratio MoHP: Ministry of Health and Population NMC: Nepal Medical Council NMR: neonatal mortality rate NNC: Nepal Nursing Council NSI: Nick Simons Institute NSSD: Nursing and Social Security Division PCL: proficiency certificate level SBA: skilled birth attendant SHP: skilled health personnel SDG: Sustainable Development Goals WHO: World Health Organization Declarations Acknowledgments The team would like to thank Dr T Geetha Rana, who was a consultant on the project, as well as Seema Das for her help with the curriculum assessment. Author contributions AM conceptualized the study. SMD led the overall design and implementation of the study. SMD, NS, and BKL contributed to all stages of planning, implementing and finalizing results. AM, AN, DP, EYM, GI, JT, LHA, LK, LPK, YH contributed to the design and cross-country implementation of the study. DP, EYM, LHA, and SMD wrote the first draft of the manuscript. All authors reviewed and approved the final manuscript. Funding This work received funding from Gates Ventures, the Global Financing Facility, the United Nations Population Fund, and the United Nations Children’s Fund. Except for Gates Ventures, funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the paper. Conflict of interest statement The authors confirm there are no conflicts of interest. Author disclaimer The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated. References Cohen, S.A. The Safe Motherhood Conference. International Family Planning Perspectives 13 , 68-70 (1987). Mahler, H. The safe motherhood initiative: a call to action. Lancet 1 , 668-670 (1987). United Nations. United Nations Millennium Declaration: resolution/adopted by the General Assembly. A/RES/55/2. (United Nations, New York 2000). United Nations Department of Economic and Social Affairs. Sustainable Development Goals. https://sustainabledevelopment.un.org/index.html. Published 2015. Accessed 07 July 2025. Department of Economic and Social Affairs (DESA). The Sustainable Development Goals Report 2025. (United Nations, New York, 2025). World Health Organization. Ending preventable maternal mortality (‎EPMM)‎: a renewed focus for improving maternal and newborn health and well-being. (World Health Organization, Geneva, 2021). World Health Organization. Every Newborn Action Plan: 2025 Coverage Targets and Milestones. (Geneva, 2020). World Health Organization, United Nations Children's Fund & United Nations Population Fund. Every Woman Every Newborn Everywhere. https://ewene.org/about-us/. Published 2024. Accessed 04 May 2025. World Health Organization. Definition of skilled health personnel providing care during childbirth: the 2018 joint statement by WHO, UNFPA, UNICEF, ICM, ICN, FIGO and IPA. (World Health Organization, Geneva, 2018). Trends in maternal mortality estimates 2000 to 2023: estimates by WHO, UNICEF, UNFPA, World Bank Group and UNDESA/Population Division. (World Health Organization, Geneva, 2025). United Nations Inter-agency Group for Child Mortality Estimation (UN IGME). Levels & Trends in Child Mortality: Report 2024 – Estimates developed by the United Nations Inter-agency Group for Child Mortality Estimation. (United Nations Children’s Fund, New York, 2025). Hannah Blencowe , et al. How did Nepal implement? https://www.exemplars.health/topics/neonatal-and-maternal-mortality/nepal/how-did-nepal-implement. Published 2025. Accessed 10 May 2025. Carter, A. , et al. A framework for identifying and learning from countries that demonstrated exemplary performance in improving health outcomes and systems. BMJ Glob Health 5 (2020). Boerma, T. , et al. Maternal mortality, stillbirths, and neonatal mortality: a transition model based on analyses of 151 countries. Lancet Glob Health 11 , e1024-e1031 (2023). Kruk, M.E. , et al. High-quality health systems in the Sustainable Development Goals era: time for a revolution. The Lancet Global Health 6 , e1196-e1252 (2018). Kruk, M.E. , et al. High-quality health systems in the Sustainable Development Goals era: time for a revolution. Lancet Glob Health 6 , e1196-e1252 (2018). Bogren, M. , et al. Facilitators of and barriers to providing high-quality midwifery education in South-East Asia-An integrative review. Women Birth (2021). Iyengar, S., Dholakia, R. & Bajpai, N. Factors Impacting Quality of Skilled Birth Attendant Services in Rural India. Journal of Health Management 26 , 214-224 (2024). Akseer, N. & Phillips, D.E. Drivers of success in global health outcomes: A content analysis of Exemplar studies. PLOS Glob Public Health 4 , e0003000 (2024). Nepal Ministry of Health and Population. National Policy on Skilled Birth Attendants. Supplementary to Safe Motherhood Policy 1998. (Department of Health Services Family Health Division, Kathmandu 2006). The Healthy DEvelopments & Federal Ministry for Economic Cooperation and Development. Midwifery education in Nepal: Training the first generation of professional midwives. https://health.bmz.de/stories/midwifery-education-in-nepal-training-the-first-generation-of-professional-midwives/. Published 2021. Accessed 10 May 2025. Nepal Ministry of Health and Population. Strategy for Skilled Health Personnel and Skilled Birth Attendants 2020-2025. (Department of Health Services Family Welfare Division Kathmandu, 2021). Rajbhandari, R. , et al. The quality of skilled birth attendants in Nepal: High aspirations and ground realities. PLoS One 14 , e0214577 (2019). Thapa, R. , et al. Novel on-site follow-up and enhancement program (FEP) improves knowledge, clinical skills and enabling environment of skilled birth attendants in Nepal. PLoS One 18 , e0285653 (2023). The International Confederation of Midwives. The International Confederation of Midwives (ICM) Essential Competencies for Midwifery Practice Framework 2019. (The Hague, 2019). School of Medical Sciences (Nursing Program), S.o.M.S.N.P., Kathmandu University,. Bachelor of Midwifery (B. MID) Curriculum-2016. (Kathmandu University, Kathmandu, 2016). Council for Technical Education and Vocational Training. Curriculum - Proficiency Certificate Level in Midwifery. (Council for Technical Education and Vocational Training, Sanothimi, Bhaktapur, 2018). Patan Academy of Health Science - School of Nursing and Midwifery. Curriculum for Bachelor in Nursing Science. (Patan Academy of Health Science - School of Nursing and Midwifery, Sanaa, Lalitpur, 2020). Council for Technical Education and Vocational Training. Curriculum - Proficiency Certificate Level in Nursing. (Council for Technical Education and Vocational Training, Sanothimi, Bhaktapur, 2018). Institute of Medicine - Tribhuvan University. Curriculum for Medical Doctor Obstetrics/Gynecology. Published 2015. Braun, V. & and Clarke, V. Using thematic analysis in psychology. Qualitative Research in Psychology 3 , 77-101 (2006). Delve software team. Reflexive Thematic Analysis (RTA) in Qualitative Research-Delve software. https://delvetool.com/blog/reflexive-thematic-analysis. Published 2025. Accessed 04 May 2025. Mianda, S., Todowede, O. & Schneider, H. Service delivery interventions to improve maternal and newborn health in low- and middle-income countries: scoping review of quality improvement, implementation research and health system strengthening approaches. BMC Health Services Research 23 , 1223 (2023). Aryal, S. & Nepal, S. An insight into two decades of Skilled Birth Attendants in Nepal. Front Glob Womens Health 3 , 899010 (2022). Karkee, R. , et al. Policies and actions to reduce maternal mortality in Nepal: perspectives of key informants. Sex Reprod Health Matters 29 , 1907026 (2021). Ruma Rajbhandari , et al. Assessing the Quality of Skilled Birth Attendants in Rural Nepal. (Government of Nepal, Ministry of Health, Department of Health Services and National Health Training Center and Nick Simons Institute (NSI), 2018). Sulata Karki , et al. Effective coverage of childbirths in health facilities in Nepal: cross-sectional study combining Demographic and Health Survey 2022 and Health Facility Survey 2021. Journal of Global Health Economics and Policy , 5:e2025011 (2025). World Health Organization, United Nations Population Fund & United Nations Children's Fund. Implementation guidance on transitioning to midwifery models of care. (World Health Organization, Geneva, 2025). Tables Table 1: Summary of thematic analysis a MOHP: Ministry of Health and Population b MNH: Maternal and newborn health c SHP: Skilled health personnel d SBAs: Skilled birth attendants e HMIS: Health management information system Table 2: Curricula coverage score of five pre-service education programs mapped against the 2019 ICM Competencies in “care during labour and birth” category Program/curricula Year published/revised Curricula assessment scores (max score possible 100%) Bachelor’s in Nursing Science 2020 65% Proficiency Certificate Level in Nursing 2013/2018 83% Proficiency Certificate Level in Midwifery 2018 89% Bachelor of Midwifery (B.Mid) 2016/2021 70% MD Obstetrics/Gynaecology 2015 67% Note: Please note that the ICM competencies used for this mapping were released in 2019. 25 Additional Declarations There is NO Competing Interest. Supplementary Files 20250917Nepalmanuscriptsupplementary.docx Supplementary material for manuscript - Exploring local views on strengths and challenges in pre-service education for skilled birth attendants, skilled health professionals, and midwives in Nepal Cite Share Download PDF Status: Published Journal Publication published 08 May, 2026 Read the published version in Nature Health → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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\u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"Exploring local views on strengths and challenges in pre-service education for skilled birth attendants, skilled health professionals, and midwives in Nepal","fulltext":[{"header":"Main","content":"\u003cp\u003eFor decades, improving the health of women and newborns has remained a central focus of global development efforts\u003csup\u003e1,2\u003c/sup\u003e. The Sustainable Development Goals (SDGs), along with earlier international frameworks, have established key targets for maternal and newborn health (MNH), including increased coverage of births attended by skilled birth attendants (SBA) or skilled health personnel (SHP)\u003csup\u003e3,4\u003c/sup\u003e. Despite these commitments, many countries continue to fall short of achieving the MNH-related targets outlined in the 2030 SDG agenda\u003csup\u003e5\u003c/sup\u003e. Global initiatives such as Ending Preventable Maternal Mortality (EPMM)\u003csup\u003e6\u003c/sup\u003e and Every Newborn Action Plan (ENAP)\u003csup\u003e7\u003c/sup\u003e now known as Every Women Every Newborn Everywhere (EWENE)\u003csup\u003e8\u003c/sup\u003e have supported countries in reinvesting in MNH through the development of national strategic plans, policy reforms, and programmatic revisions aimed at ensuring access to evidence-based, quality care. A core progress indicator adopted by these initiatives is SDG 3.1.2: the proportion of births attended by skilled health personnel. While many countries report increased coverage of births attended by SHP, this has not consistently translated into expected reductions in maternal and newborn mortality\u003csup\u003e5\u003c/sup\u003e. In response, the World Health Organization (WHO) and partners in 2018 initiated a process to clarify and refine the definition of the widely used term \u0026ldquo;skilled birth attendant\u0026rdquo; (SBA)\u003csup\u003e9\u003c/sup\u003e, with the goal of improving and operationalizing the measurement of births attended by skilled health personnel. The definition emphasizes: accreditation, education and training, scope of practice and contextual relevance. Box 1 displays the 2018 WHO definition of skilled health personnel\u003csup\u003e9\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eNepal is one country that has made substantial improvements in maternal and newborn health outcomes over time. Maternal mortality ratio (MMR) and neonatal mortality rate (NMR) in Nepal have declined at an average annual rate of 5.2% and 3.7% respectively from 2000 to 2023.\u003csup\u003e10,11\u003c/sup\u003e As a result, Nepal has been recognized as an \u0026ldquo;Exemplar\u0026rdquo; country in MNH and other public health areas by an international program known as Exemplars in Global Health\u003csup\u003e12,13\u003c/sup\u003e. A range of factors have been identified as driving maternal and neonatal mortality, and stillbirth declines\u003csup\u003e14\u003c/sup\u003e. While earlier efforts primarily emphasized encouraging women to give birth in health facilities, recent years have seen a growing recognition that the quality of care provided to women and newborns within these facilities is equally critical\u003csup\u003e15\u003c/sup\u003e. The quality of care that women and newborns receive has been established as one of the distinguishing characteristics for countries that succeed in meeting development goals\u003csup\u003e16\u003c/sup\u003e. Studies routinely demonstrate wide variance in the clinical skills and effectiveness of SBAs and SHP, partially driven by gaps in pre-service training\u003csup\u003e17,18\u003c/sup\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCase studies of Nepal\u0026rsquo;s success have confirmed the importance of quality of care to MNH improvement, alongside strong policymaking over the past few decades\u003csup\u003e12,19\u003c/sup\u003e. In 2006, as part of the Safe Motherhood initiative, Nepal implemented its National Policy on SBA\u003csup\u003e20\u003c/sup\u003e to increase the skill level of existing SBAs through evidence-based in-service SBA training, incorporating core midwifery competencies into existing pre-service curricula, and training of additional SBAs. Further, the policy proposed the creation of a midwifery cadre for front-line MNH care including the development of the Bachelor of Midwifery program (B.Mid)\u003csup\u003e21\u003c/sup\u003e. In 2018 the Nepali government updated the Safe Motherhood and Newborn Health Roadmap, as well as the Strategy for Skilled Health Personnel and Skilled Birth Attendants 2020 to 2025, which identified short- and long-term strategies to improve outcomes. The strategy focused on improving the skills, training, and deployment of current staff through in-service training, improving training of nurses, as well as creating a cadre of midwives\u003csup\u003e22\u003c/sup\u003e. It should be noted that in Nepal, SBA and SHP are considered providers with different competencies (Supplementary Table 1).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAnd yet, even in a context with some of the most rapid improvements in MNH, in-depth studies have shown important gaps that remain in the quality of care that women and newborns and receive in Nepal. Rajbhandari et al. found that in a cross-sectional analysis of 511 SBAs across facility types and geographies, Nepal scored an average of 75% on a knowledge assessment and 47% on a clinical skills assessment, both falling below the 80% standard needed to pass training\u003csup\u003e23\u003c/sup\u003e. In response, Nepal launched a follow-up program that provided supportive supervision and in-service training for SBAs, adopted in 47 of 77 districts by 2021\u003csup\u003e24\u003c/sup\u003e. Current evidence emphasizes the need for action and implementation of policies that improve SHP pre-service education programs, enforce standards of practice, and create enabling environments for high quality MNH care across South Asia \u0026ndash; especially as countries approach the SDG goals and begin to scale-up midwifery models of care\u003csup\u003e17\u003c/sup\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo date, few studies have explored contributors of competency gaps among SBAs, SHP and midwives in Nepal, especially focusing on pre-service education and training programs. To fill that evidence gap, and to facilitate others to learn from the successes of Nepal as they scale up human resources for health, this study aims to explore strengths and challenges in pre-service education and training programs for SBAs, SHP, and midwives in Nepal. We leverage local perspectives to generate deep, granular insights about implementation of these programs and opportunities for continued improvement going forward.\u003c/p\u003e\n\u003cp\u003eBox 1. The 2018 definition of skilled health personnel (competent health care professionals)\u003csup\u003e9\u003c/sup\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"686\" height=\"418\"\u003e\u003c/p\u003e"},{"header":"Methods","content":"\u003ch2\u003eStudy design\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eThis research was conducted as part of a multi-country, mixed-methods study to enhance the understanding of how the coverage of SBAs and SHP could be more reliably measured, including developing a valid metric and including all the concepts of the 2018 SHP definition\u003csup\u003e9\u003c/sup\u003e. This project was conducted in Nepal, Senegal and Zambia, three countries involved in a program known as Exemplars in Global Health (EGH). EGH is a partnership dedicated to learning from countries that have demonstrated exceptional progress in a range of health areas, such as MNH\u003csup\u003e13\u003c/sup\u003e. This project included cross-country quantitative research as well as qualitative research components in all three study countries.\u003c/p\u003e\n\u003cp\u003eThis article specifically focuses on the study in Nepal, based on qualitative research from key informant interviews, and an assessment of the pre-service training curricula for health care workers providing childbirth care according to the International Confederation of Midwives (ICM) Essential Competencies for Midwifery Practice competencies framework, 2019 update\u003csup\u003e25\u003c/sup\u003e.\u003c/p\u003e\n\u003ch2\u003eSampling design and frame\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eThe purposive sampling method was leveraged to select study participants, including key policy makers directly involved in the development of SBAs and SHP programs including B.Mid, as well as participants with experience in MNH policy making, pre-service education, human resource development, and SDG measurement and reporting.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA total of twenty-four participants were selected for the study from across different types of relevant organizations and educational programs. Participants were contacted in advance via email sent on behalf of the Family Welfare Division, Ministry of Health and Population. Interviews were scheduled at times convenient to each participant and conducted between July and September 2023.\u003c/p\u003e\n\u003ch2\u003eStudy population\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eWe divided the participating organizations and interviewees into five major groups: 1) educational institutions, including medical, nursing and midwifery colleges, 2) international organizations and external development partners 3) government bodies, 4) regulatory bodies for standards and accreditation, and 5) professional organizations. Participants from government bodies were from local, regional, and national levels, including the Ministry of Health and Population. Additional stakeholders were chosen from Sudurpashchim Province as it hosts a nursing and midwifery educational institution with a nurse/midwife-led birthing centre.\u003c/p\u003e\n\u003ch2\u003eData collection process\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eAll participants were interviewed in person by the research team, which consisted of two interviewers (DD, GR) and a note taker (HP). Interviews lasted approximately 90 minutes and were conducted in Nepali. Permission to audio record the interview was obtained from all participants.\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eData collection tools\u003c/h2\u003e\n\u003cp\u003eSemi-structured interview guides were developed for each of the interviewee groups based on the study protocol adapted to fit the Nepalese context (Supplementary Fig. 1). The interview guides were pilot-tested, and further refined with support from the Family Welfare Division and the Nursing and Social Security Division.\u003c/p\u003e\n\u003ch2\u003eCoverage of competencies related to childbirth care in pre-service training curricula\u003c/h2\u003e\n\u003cp\u003eData extraction was performed by two members of the team (AM and SD) and each of the five curricula included in the study were reviewed several times to determine the content related to the third category “labour and birth care” according to the International Confederation of Midwives (ICM) framework\u003csup\u003e25\u003c/sup\u003e. The 54 indicators (19 knowledge, 35 skills and behaviours) included in this category were considered equally important, and 1 point was given for the presence of each indicator in the curriculum document. The content of the curriculum was considered to have met the ICM framework third category competencies if the 54 indicators (maximum score) were included in the curriculum. For each curriculum a summary score was calculated.\u003c/p\u003e\n\u003cp\u003eAll available and pertinent pre-service training curricula were included in this component of the assessment. The five pre-service curricula include: Bachelor of Midwifery (B.Mid)\u003csup\u003e26\u003c/sup\u003e, Proficiency Certificate Level in Midwifery\u003csup\u003e27\u003c/sup\u003e, Bachelor of Nursing Science\u003csup\u003e28\u003c/sup\u003e, Proficiency Certificate Level in Nursing\u003csup\u003e29\u003c/sup\u003e, Medical Doctor Obstetrics/Gynecology\u003csup\u003e30\u003c/sup\u003e. Curriculum was not assessed for auxiliary nurse-midwife (ANM) who are considered SBAs as only a teaching plan was located for their pre-service curricula.\u003c/p\u003e\n\u003cp\u003eSBA in-service training programs were not assessed in this analysis as they are used to train several cadres (i.e. nurse, doctor) and would not be comparable against pre-service education programs.\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eData management and analysis\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eTeam members transcribed the interviews verbatim in Nepali and then translated them into English. All data were transcribed and analyzed manually without the use of analytical software. To maintain confidentiality, we assigned abbreviations (P1, P2, ... P24) to each key informant and no personal identities of participants were revealed. The data were securely stored at the Center for Molecular Dynamics Nepal office and password protected.\u003c/p\u003e\n\u003cp\u003eThe qualitative data were analyzed using thematic analysis following Delve’s six steps approach\u0026nbsp;focusing on a) analysis of strengths and challenges of education institutions, international organizations/external development partners, government bodies, regulatory bodies and non-governmental organizations and b) thematic analysis of the commonalities in the subjects that respondents perceived as important to discuss\u003csup\u003e31,32\u003c/sup\u003e. Two interviewers coded interview data. Appropriate excerpts were identified and linked to a particular pattern derived from the initial coding process. Themes were derived deductively based on the research objective and inductively from emerging patterns in the data. All excerpts associated with a particular code were grouped together. Initial codes were then sorted into potential sub-themes, which were subsequently used to generate overarching themes. After reviewing the themes, a detailed analysis was conducted for each theme, supported by verbatim excerpts.\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eEthical considerations\u003c/h2\u003e\n\u003cp\u003eEthical approval was obtained from the Nepal Health Research Council prior to the start of the project and was conducted in compliance with ethical and human rights standards (Reference number: 3306). All participants were informed about the purpose of the project, the voluntary nature of their participation, potential risks and benefits of the study, and their rights to decide whether to participate and to abstain from answering any particular question(s). Written consent was obtained from all participants before their involvement in the study.\u0026nbsp;\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eA total of twenty-four participants were interviewed from a range of organizations (Table 1). Thirteen participants were female and eleven were male. Results herein are organized by the type of organization. Within each organizational group, we have analyzed the strengths and challenges highlighted by participants from that group. Additional quotes for some sections, including professional organizations, are included in Supplementary Fig. 2.\u003c/p\u003e\n\u003ch2\u003eEducational institutions\u003c/h2\u003e\n\u003ch3\u003eStrengths\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eLearning practical skills:\u0026nbsp;\u003c/strong\u003eRespondents shared that students learn practical skills through their programs while being supervised by clinical staff:\u003cem\u003e\u0026nbsp;“Students are posted in various wards i.e. antenatal care, labor room, postnatal care in rotation where they perform all duties assigned to them including conducting deliveries under the supervision of midwifery educators. Apart from this, they are posted at community and are also responsible for follow up of postnatal mothers”.\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInstructor qualification, training, and job attributes:\u0026nbsp;\u003c/strong\u003eThe academic background and continuous medical training of the educators were highlighted by participants from educational institutions (details in Supplementary Fig. 2). Most of the participants were satisfied with the salary and career development opportunities provided by their institution.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eIntegration of academic and clinical roles:\u003c/strong\u003e In some institutions, midwifery educators are involved in both teaching and clinical practice, allowing them to stay updated on clinical advancements and maintain their skills (Supplementary Fig. 2). Respondents shared that this helps bridge the gap between theory and practice in SBAs and SHP education and enhance quality of education for students.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSufficient learning resources, infrastructure, and equipment:\u003c/strong\u003e Broadly, representatives from many colleges shared that their facilities had sufficient learning resources, classroom and laboratory space, and practical training facilities, especially stakeholders involved in the B.Mid midwifery program (see Supplementary Fig. 2 and Supplementary Table 2 for more details). One stakeholder shared: \u003cem\u003e“Our institute has adequate classroom space for students, library facilities, access to teaching learning materials and aids, sufficient clinical learning sites with adequate patient flow, access to curriculum on the days of admission and skill labs.”\u0026nbsp;\u003c/em\u003eAnother stakeholder shared that for their institution in particular: \u003cem\u003e“We have the best simulation lab in the nation, where our students practice before clinical placement”. \u0026nbsp;\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNurse/midwife-led birthing centres:\u0026nbsp;\u003c/strong\u003eFour of six midwifery teaching institutions have also established nurse/midwife-led birthing centres (Supplementary Fig. 2). In addition to enabling nurses and midwives to independently manage lower-risk births, these centres also offer a learning environment for trainees. One participant noted: \u003cem\u003e“We have competent and skilful nurses who independently provide delivery care in Birthing Center. They follow Midwifery Model of Care, respectful maternity for normal physiological birth. The mother and family member are satisfied with the care provided to them by nurses”.\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003ch3\u003eChallenges\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eLow enrolment in midwifery programs:\u0026nbsp;\u003c/strong\u003eLow enrolment was reported specifically for the B.Mid program\u003cstrong\u003e,\u003c/strong\u003e partially driven by the lack of midwifery employment opportunities post-graduation. Furthermore, despite support by scholarships to fill seats in the midwifery programs, many students are unwilling to pay for this program because of a lack of employment opportunities in the public sector for qualified midwives. One KI said that \u003cem\u003e“in B.Mid, 75% of the seats are of scholarship, only these seats are fully occupied whereas the remaining 25% pay seats are vacant. This concerns us because students are unwilling to pay to study B.Mid.”\u003c/em\u003e Another respondent from a private institution shared that \u003cem\u003e“only 10% of the seats that are of scholarship are occupied. As we are a private university, we only provide those 10% of seats for scholarships, and the rest remain vacant due to a lack of interest from non-scholarship students.”\u003c/em\u003e However, some interviewees shared ideas to improve midwifery education in the Nepalese context: \u003cem\u003e“I would recommend one year bridge course for nurses in midwifery…It is more practical and economical to provide bridge course….”\u003c/em\u003e.\u003c/p\u003e\n\u003ch2\u003eGovernment bodies\u003c/h2\u003e\n\u003ch3\u003eStrengths\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eCollaborative planning for SBAs and SHP workforce:\u0026nbsp;\u003c/strong\u003eThe national government is responsible for the preparation of national policies, strategies, and regulations regarding SHP training and accreditation, as well as guidelines, protocols and standards regarding SHP training. Various teams across the Ministry of Health and Population (MoHP), other government organizations, and international development partners work collaboratively to plan for SBA/SHP workforce development. This includes the regulation and monitoring of the SHP modular training package.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData systems for Health Management Information System (HMIS):\u0026nbsp;\u003c/strong\u003eThe government also has developed data systems for health facilities, known as the “HMIS data highway”. The government collects monthly reports from all health facilities including the number of deliveries, information on emergency referral, availability of essential medications and commodities, and other information. Routine data quality assessments are performed automatically and reviewed several times a year. The HMIS system separately documents deliveries conducted by SBAs and by SHP.\u003c/p\u003e\n\u003ch3\u003eChallenges\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eLack of career opportunities for midwifery-specific roles:\u0026nbsp;\u003c/strong\u003eSeveral interviewees noted that midwifery graduates face difficulties finding a job, as no midwifery-specific positions currently exist within the government health system. Some respondents shared that no new public sector midwifery posts have been created since the midwifery programs’ inception, though a survey has been conducted about the quantity of midwives needed. One participant stated, \u003cem\u003e“No bond for passed out midwifery students as the government has no midwife posts in the MOHP.”\u0026nbsp;\u003c/em\u003eNewly graduated midwives are often recruited for different roles in a health facility or choose to pursue opportunities outside of Nepal (more quotes in Supplementary Fig. 2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFinding domain-specific employment for other SBAs and SHP cadres:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eRespondents reported that healthcare workers trained as SBAs face challenges with deployment, including being placed in positions that do not match their training or in lower positions than their level of qualification. A respondent shared their perspective: \u003cem\u003e“After SBA training, staffs are transferred into different departments such as Surgery and Medicine as per the need of health facilities\u003c/em\u003e.” Another interviewee shared that \u003cem\u003e“even after completion of bachelor level, nurses are recruited in the post of staff nurse (diploma level) on a contract basis. This leads to frustration and increasing brain drain in Nepalese nurses.”\u0026nbsp;\u003c/em\u003eFurthermore, the issue of\u0026nbsp;personnel retention was raised by many respondents, with one interviewee noting that \u003cem\u003e“retention is an issue. Some posts in rural health facilities remain vacant because SBAs [healthcare workers] posted to rural areas demand transfer to major cities like Kathmandu”\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDelays in SHP in-service training implementation:\u0026nbsp;\u003c/strong\u003eNepal set a long-term strategy to improve the childbirth care skills of existing SBA workers and replace SBAs with SHP (Supplementary Table 1 for definition). SBAs in-service training has been ongoing since 2006 and was expected to wind down after 2011, however, there has been a marked delay in the commencement of the midwifery programs and SHP training modules. SHP training modules are being developed by the National Health Training Center under the MoHP. The replacement of SBAs with SHP also entails phasing out the auxiliary nurse-midwife (ANM) cadre, which presents a challenge given the important role of the ANM cadre in rural areas and lower-level health facilities.\u003c/p\u003e\n\u003cp\u003eKey government informants spoke about this delay, with one participant indicating that \u003cem\u003e“SHP training modules are not ready yet and therefore training has not yet started, so it is not clear when SHP production will start.”\u0026nbsp;\u003c/em\u003eMany participants were reluctant to comment on SHP training before its implementation. Though many stakeholders in Nepal shared their preference to have SHP instead of SBA working in health facilities, one stakeholder shared their concerns: \u003cem\u003e“the question arises of implementation of the plan to produce SHP, on the other hand, SBAs [in-service] training is ongoing and functioning effectively all in rural and urban areas of country.”\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOpportunities to improve HMIS data systems:\u003c/strong\u003e Respondents highlighted opportunities to improve the HMIS system specifically with hospitals in urban areas and emergency referral for mother and newborns.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOpportunities to improve HR database:\u0026nbsp;\u003c/strong\u003eThe human resources database is maintained by MoHP, however, has faced some challenges since federalization occurred in 2016. Respondents highlighted that there may be opportunities to update the data systems to consider all human resources for health across local, provincial, and national levels, inclusive of contract workers.\u003c/p\u003e\n\u003ch2\u003eRegulatory bodies\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eThe Medical Education Commission (MEC), established recently in 2018, plays a key role in Nepal’s pre-service education system for health professionals. MEC’s responsibilities include overseeing standards for accreditation of institutions, allocating students to pre-service programs, and developing core curriculum. Nepal Medical Council (NMC) and Nepal Nursing Council (NNC) are responsible for licensing, relicensing, and continuing medical education. Supplementary Table 3 shares the division of responsibilities between MEC, councils, and universities after 2018. Separate from pre-service education, MoHP is responsible for SBAs and SHP in-service training modules.\u0026nbsp;\u003c/p\u003e\n\u003ch3\u003eStrengths\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eUnified standards for entrance examination, curriculum, and accreditation:\u0026nbsp;\u003c/strong\u003eRespondents shared that the shift to MEC has resulted in a single nationwide standard for various components of pre-service education. Universities used to conduct their own entrance examination, whereas now a common entrance exam is held for all schools. Universities now also develop curriculum based on the standardized MEC curriculum.\u0026nbsp;\u003c/p\u003e\n\u003ch3\u003eChallenges\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eLimited involvement from councils in MEC accreditation and curriculum processes:\u003c/strong\u003e Several respondents shared the significant changes that occurred in nursing and midwifery pre-service education regulation after the MEC was formed in 2018, which decreased the involvement of NMC and NNC in key regulatory functions: \u003cem\u003e“Initially, accreditation, approval of pre-service curriculum was our responsibility. However, after MEC took over, we are limited to licensing and re licensing. What concerns me is that there is limited representation from our side in core curriculum development. Furthermore, we are not involved in inspection and supervision of colleges and hospitals.”\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLack of nurse and midwife representation in MEC:\u0026nbsp;\u003c/strong\u003eSome interviewees have noted that nurses and midwives are not sufficiently involved in curriculum development: \u003cem\u003e“although the core curriculum for midwifery is developed by MEC, there is limited feedback and involvement from nurses and midwives in revising and improving the curriculum.”\u003c/em\u003e\u003c/p\u003e\n\u003ch2\u003eInternational organizations and external development partners\u003c/h2\u003e\n\u003ch3\u003eStrengths\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eStrong international collaboration:\u0026nbsp;\u003c/strong\u003eNepal works closely with several international organizations providing technical and financial assistance to MNH programs, including the training of SBA and SHP development of key policies, and support strengthening emergency health services (Supplementary Fig. 2). United States Agency for International Development provided financial support for the Nepal Demographic and Health Survey (DHS) and supported its customization to the local context.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStrong usage of data collection and program evaluations:\u0026nbsp;\u003c/strong\u003eNepal actively leverages monitoring and evaluation programs to assess and improve their health programs and to shape future policies. Several of these data collection efforts were funded by external development partners. Participants noted that the Nursing and Social Security Division (NSSD) is addressing some of the challenges in SBA and SHP education and training through a National Nursing and Midwifery Strategy and Action Plan for 2020-30, which aims to support the production and deployment of professional midwives (currently not available in the public domain).\u003c/p\u003e\n\u003ch3\u003eChallenges\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eVarying understanding of SBA and SHP between organizations:\u0026nbsp;\u003c/strong\u003eThere are differences among development partners in strategies for production of healthcare workers to improve the quality of MNH services. Some organizations fully support the transition to midwifery, noting that shifts are still required for successful implementation. Other organizations have been supporting the National Health Training Center to develop, finalize, and test the SHP in-service training modules (Supplementary Fig. 2). External partners have noted a concern that if measured in a future survey, the proportion of deliveries conducted by SHP would be lower than proportion of deliveries conducted by SBAs, as ANMs are excluded from the cadres considered SHP (Supplementary Table 1).\u003c/p\u003e\n\u003ch2\u003eCoverage of competencies related to childbirth care in pre-service training curricula\u003c/h2\u003e\n\u003cp\u003eWe assessed five pre-service training curricula (Table 2 and additional details in Supplementary Table 4). Programs were overall found to cover the majority of assessed ICM midwifery competencies, with these five programs ranging from 65% to 89% coverage of competencies in the “care during labour and birth” category. \u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eNepal has made significant progress in reducing maternal and neonatal mortality, having been identified as an Exemplar for these health improvements and the SBAs and /SHP programs that have driven them\u003csup\u003e12\u003c/sup\u003e. As MMR and NMR continue to decline, increases in health service coverage alone may not be enough to drive continued progress. Instead, as recent global studies have concluded, improving the quality of MNH services will be increasingly important\u003csup\u003e33\u003c/sup\u003e. One important aspect of improving quality is ensuring that health professionals are better trained, regulated, supervised, and equipped to deliver evidence-based care.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMidwifery pre-service education programs in Nepal are helping to strengthen the health workforce delivering childbirth care, but the number of graduates has not been scaled sufficiently to create a new professional midwifery workforce large enough to replace the ANM cadre. Several interviewees in this study reported that their perception of the B.Mid program in Nepal was that it was moving in a positive direction, inclusive of practical training and clinical components. The program, which was launched in 2016 at the Kathmandu University School of Medical Sciences, expanded to six institutions over five years, including National Academy of Medical Sciences in 2017, Karnali Academy of Health Sciences in 2018, and Patan Academy of Health Sciences in 2022. By 2021, 66 midwives had graduated, and 100 students were enrolled in B.Mid programs (unpublished data). This is lower than the estimates in the Strategy for Skilled Health Personnel and Skilled Birth Attendants 2020-2025, projecting that against the total of 5,558 midwives needed by 2025, 753 midwives would have joined the workforce.\u003csup\u003e22\u003c/sup\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eOur assessment of the coverage of competencies in pre-service curricula for childbirth care providers revealed that the majority of assessed midwifery competencies are covered, reflecting Nepal’s investments in leveraging evidence-based practices and updating these educational programs over the past few decades\u003csup\u003e20,22\u003c/sup\u003e. Still, some curricula could be further enhanced to ensure alignment with the ICM framework\u003csup\u003e25\u003c/sup\u003e and by integrating the latest MNH care guidelines and other pertinent literature. Further research into pre-service education programs\u0026nbsp;may employ\u0026nbsp;direct observation both in the classroom and in practical components to assess pedagogical methods and assessment strategies.\u003c/p\u003e\n\u003cp\u003eDespite comprehensive pre-service education programs, limited midwifery-specific job prospects contribute to low enrollment in B.Mid programs. Without applicants for the non-scholarship seats, a midwifery program may operate at a lower capacity, hindering long-term program sustainability. Students may be more likely to enrol if they perceive strong career pathways are available post-graduation. Avenues to create jobs may include creating new midwifery posts in the public sector, converting existing MNH posts in the public sector to midwifery posts and teaching midwifery skills to nurses. The government has also approved a shorter 3-year direct-entry certificate-level midwifery course (PCL) under the Council for Technical Education and Vocational Training, however, had not yet put this course into practice at the time of research The midwifery bridge course for nurses also remains under discussion (unpublished but discussed in interviews).\u003c/p\u003e\n\u003cp\u003eEnsuring SBAs and SHP deployment to more rural and remote locations is also crucial to improve quality of care where access to other facilities and specialized health professionals may be more limited. Human resources for health (HRH) distribution have historically been a challenge in Nepal, with lower HRH density in mountain districts and remote parts of Karnali and Sudurpashchim. Accelerating the implementation of SHP training modules in these areas can have the most significant impact. Even as training gradually shifts to more SHP training than SBAs, it may be important to maintain SBAs training for the ANM cadre given the importance of this role in lower-level facilities\u003csup\u003e23\u003c/sup\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAlthough this study advances the understanding of SBAs and MNH quality of care in Nepal, previous studies support the findings to some extent\u003csup\u003e34\u003c/sup\u003e. Karkee et al. interviewed 36 key informants in Nepal to understand perspectives on policies responsible for the reduction in maternal mortality and reasons for recent stagnation\u003csup\u003e35\u003c/sup\u003e. Their recommendations included improving the allocation of SBAs, strengthening midwifery education, and increasing supervision and mentorship of in-service staff. Similarly, Rajbhandari et al.’s work assessing knowledge and clinical skills of SBAs suggests that regular post-training follow-up and national programs to monitor skills are critical to assuring the competence of SBAs, including designing effective programs for SBAs at lower-level facilities\u003csup\u003e23\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eAs other studies have shown, quality of care depends not only on the training and competencies of SBAs, but also the enabling environments within which care is provided. MoHP and NSI, 2018, found that SBAs in Nepal had access to an average of 83% of items on a checklist of 17 key enabling environment indicators.\u003csup\u003e36\u003c/sup\u003e Karki et al. combined Nepali household and facility data to determine the proportion of births that took place in a sufficient enabling environment for routine and complicated deliveries.\u003csup\u003e37\u003c/sup\u003e This work found substantially reduced quality-adjusted coverage from crude coverage, providing additional evidence to suggest increases in the components of quality are needed. Along with ensuring adequate enabling environments, improvements in SBAs and SHP pre-service and in-service education are a pathway to improve provider skills, ultimately increasing the quality-of-care provision to mothers and newborns.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThis study has several limitations. While the interviews included multiple perspectives from each organizational group, the sample size was limited to 24 key informants. Purposive sampling in this study was focused on capturing perspectives from leaders in their respective fields. The accuracy of recall and assessment provided by informants may have been biased in certain ways as well; accuracy in translation from Nepali to English could also affect the interpretation of findings. As with all data from key informant interviews, a range of cognitive biases may have skewed this data towards more recent observations and events with more memorable significance. As it is difficult to analyze many of the issues explored in this evaluation quantitatively, we rely on concordance between informant’s responses as the manner of understanding the extent of these biases.\u003c/p\u003e\n\u003cp\u003eDespite limitations, this work contributes significant new information to the understanding of factors which drive quality of care in Nepal, leading to recommendations both locally and internationally. The government of Nepal could consider additional opportunities for the creation of midwifery posts in the areas of highest need. Follow-up assessments may be necessary to understand the constraints that have led to limited job posts for new graduates. More frequent and systematic assessments of SBAs and SHP in Nepal could also be helpful to monitor progress. Internationally, these findings add to the growing body of evidence that demonstrates the importance of enhancing the consistency between training programs to national and international guidelines, and the importance of the quality of pedagogy beyond simply curriculum including practical skills-based learning, and educator training.\u003csup\u003e38\u003c/sup\u003e With global advocacy around transitioning to midwifery models of care, knowledge about how to implement high-quality education, training and enabling environments will be crucial to develop strong midwifery cadres in low- and middle-income countries.\u003c/p\u003e\n\u003cp\u003eTo accelerate progress toward international MNH targets through improved quality of care, two strategic approaches are essential. First, national policymakers, program managers, and international stakeholders—including guideline developers and funders—must actively seek to learn from “exemplar” countries that have demonstrated sustained improvements in MNH outcomes. Second, research must delve into the complex and interrelated processes that shape the care received by women and newborns. Only through such in-depth qualitative inquiry can actionable recommendations be generated—both for the countries themselves and for their peers—if the global community is to meet the MNH-related SDG targets by 2030.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eANM: auxiliary nurse midwife\u003c/p\u003e\n\u003cp\u003eB.Mid: Bachelor of midwifery\u003c/p\u003e\n\u003cp\u003eCEONC: comprehensive emergency obstetric and neonatal care\u003c/p\u003e\n\u003cp\u003eCME: continuing medical education\u003c/p\u003e\n\u003cp\u003eCNE: continuing nursing education\u003c/p\u003e\n\u003cp\u003eCTEVT: Council for Technical Education and Vocational Training\u003c/p\u003e\n\u003cp\u003eDHS: Demographic and Health Survey\u003c/p\u003e\n\u003cp\u003eEGH: Exemplars in Global Health\u003c/p\u003e\n\u003cp\u003eENAP: every newborn action plan\u003c/p\u003e\n\u003cp\u003eEPMM: ending preventable maternal mortality\u003c/p\u003e\n\u003cp\u003eEWENE: every woman every newborn everywhere\u003c/p\u003e\n\u003cp\u003eHRH: human resources for health\u003c/p\u003e\n\u003cp\u003eHMIS: Health Management Information System\u003c/p\u003e\n\u003cp\u003eICM: International Confederation of Midwives\u003c/p\u003e\n\u003cp\u003eMBBS: Bachelor of Medicine, Bachelor of Surgery\u003c/p\u003e\n\u003cp\u003eMEC: Medical Education Commission\u003c/p\u003e\n\u003cp\u003eMD: medical doctor\u003c/p\u003e\n\u003cp\u003eMNH: maternal and neonatal health\u003c/p\u003e\n\u003cp\u003eMMR: maternal mortality ratio\u003c/p\u003e\n\u003cp\u003eMoHP: Ministry of Health and Population\u003c/p\u003e\n\u003cp\u003eNMC: Nepal Medical Council\u003c/p\u003e\n\u003cp\u003eNMR: neonatal mortality rate\u003c/p\u003e\n\u003cp\u003eNNC: Nepal Nursing Council\u003c/p\u003e\n\u003cp\u003eNSI: Nick Simons Institute\u003c/p\u003e\n\u003cp\u003eNSSD: Nursing and Social Security Division\u003c/p\u003e\n\u003cp\u003ePCL: proficiency certificate level\u003c/p\u003e\n\u003cp\u003eSBA: skilled birth attendant\u003c/p\u003e\n\u003cp\u003eSHP: skilled health personnel\u003c/p\u003e\n\u003cp\u003eSDG: Sustainable Development Goals\u003c/p\u003e\n\u003cp\u003eWHO: World Health Organization\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe team would like to thank Dr T Geetha Rana, who was a consultant on the project, as well as Seema Das for her help with the curriculum assessment.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAM conceptualized the study. SMD led the overall design and implementation of the study. SMD, NS, and BKL contributed to all stages of planning, implementing and finalizing results. AM, AN, DP, EYM, GI, JT, LHA, LK, LPK, YH contributed to the design and cross-country implementation of the study. DP, EYM, LHA, and SMD wrote the first draft of the manuscript.\u0026nbsp;\u0026nbsp;All authors reviewed and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work received funding from Gates Ventures, the Global Financing Facility, the United Nations Population Fund, and the United Nations Children\u0026rsquo;s Fund. Except for Gates Ventures, funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the paper.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors confirm there are no conflicts of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor disclaimer\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eCohen, S.A. The Safe Motherhood Conference. \u003cem\u003eInternational Family Planning Perspectives\u003c/em\u003e \u003cstrong\u003e13\u003c/strong\u003e, 68-70 (1987).\u003c/li\u003e\n\u003cli\u003eMahler, H. 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(Government of Nepal, Ministry of Health, Department of Health Services and National Health Training Center and Nick Simons Institute (NSI), 2018).\u003c/li\u003e\n\u003cli\u003eSulata Karki\u003cem\u003e, et al.\u003c/em\u003e Effective coverage of childbirths in health facilities in Nepal: cross-sectional study combining Demographic and Health Survey 2022 and Health Facility Survey 2021. \u003cem\u003eJournal of Global Health Economics and Policy\u003c/em\u003e, 5:e2025011 (2025).\u003c/li\u003e\n\u003cli\u003eWorld Health Organization, United Nations Population Fund \u0026amp; United Nations Children\u0026apos;s Fund. Implementation guidance on transitioning to midwifery models of care. (World Health Organization, Geneva, 2025).\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003ch4\u003eTable 1: Summary of thematic analysis\u003c/h4\u003e\n\u003cp\u003e\u003cimg 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\" width=\"734\" height=\"634\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ea \u0026nbsp;\u003c/sup\u003eMOHP: Ministry of Health and Population\u003c/p\u003e\n\u003cp\u003e\u003csup\u003eb \u0026nbsp;\u003c/sup\u003eMNH: Maternal and newborn health\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ec \u0026nbsp;\u003c/sup\u003eSHP: Skilled health personnel\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ed \u0026nbsp;\u003c/sup\u003eSBAs: Skilled birth attendants\u003csup\u003e\u0026nbsp;\u003c/sup\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ee \u0026nbsp;\u003c/sup\u003eHMIS: Health management information system\u003csup\u003e\u0026nbsp;\u003c/sup\u003e\u003c/p\u003e\n\u003ch4\u003eTable 2: Curricula coverage score of five pre-service education programs mapped against the 2019 ICM Competencies in \u0026ldquo;care during labour and birth\u0026rdquo; category\u003c/h4\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 356px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProgram/curricula\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eYear published/revised\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 124px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCurricula assessment scores\u003c/strong\u003e (max score possible 100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 356px;\"\u003e\n \u003cp\u003eBachelor\u0026rsquo;s in Nursing Science\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e2020\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 124px;\"\u003e\n \u003cp\u003e65%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 356px;\"\u003e\n \u003cp\u003eProficiency Certificate Level in Nursing\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e2013/2018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 124px;\"\u003e\n \u003cp\u003e83%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 356px;\"\u003e\n \u003cp\u003eProficiency Certificate Level in Midwifery\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e2018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 124px;\"\u003e\n \u003cp\u003e89%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 356px;\"\u003e\n \u003cp\u003eBachelor of Midwifery (B.Mid)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e2016/2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 124px;\"\u003e\n \u003cp\u003e70%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 356px;\"\u003e\n \u003cp\u003eMD Obstetrics/Gynaecology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e2015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 124px;\"\u003e\n \u003cp\u003e67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNote: Please note that the ICM competencies used for this mapping were released in 2019.\u003csup\u003e25\u003c/sup\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"nature-portfolio","isNatureJournal":true,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"","title":"Nature Portfolio","twitterHandle":"","acdcEnabled":false,"dfaEnabled":false,"editorialSystem":"ejp","reportingPortfolio":"","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-7643872/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7643872/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDespite worldwide increases in coverage of skilled health personnel during childbirth Sustainable Development Goal 3.1.2 (SDG), enormous variance in maternal and neonatal mortality and morbidity persists among many regions including Asia. Varying quality of care provided by health professionals is recognized as a contributor to this gap. Nepal has made exemplary progress in reducing maternal and neonatal mortality, making it a critical setting to analyse the strengths and challenges of pre-service education and training programs for skilled birth attendants (SBAs), skilled health personnels (SHP) and midwives.\u003c/p\u003e\n\u003cp\u003eThis research was conducted as part of a multi-country study to assess the quality of pre-service education of health professionals providing childbirth care and to enhance the measurement related to the coverage of SBAs and SHP. Twenty-four key informant interviews were conducted in Nepal with educational institutions, development partners, government, regulatory and professional bodies. Pre-service training curricula were analysed in comparison to global standards set by the International Confederation of Midwives.\u003c/p\u003e\n\u003cp\u003eRespondents discussed relatively robust pre-service curricula, qualified educators, and sufficient infrastructure across SBAs and SHP training programs, especially the Bachelors of Midwifery programs. Challenges included a misaligned job market for the numbers of each cadre trained (i.e., insufficient positions for midwives), delays in the implementation and launch of new SHP training modules, and recent changes in regulation which may have impacted clarity of responsibilities, oversight and quality of pre-service education. Curricula assessments covered most competencies, with some gaps related to care during labour and birth.\u003c/p\u003e\n\u003cp\u003eThis work identifies strengths, challenges and recommendations for the implementation of a maternal and newborn health (MNH) program to improve SBA/SHP training and develop a new cadre of midwives in Nepal. Recommendations include implementing multiple pathways to train in-service SBAs and SHP, developing job posts for midwives, accelerating the launch of the SHP training modules, and clarifying responsibilities for regulation. These are crucial for sustainable improvements in the quality of MNH care and for meeting the SDG for MNH.\u003c/p\u003e","manuscriptTitle":"Exploring local views on strengths and challenges in pre-service education for skilled birth attendants, skilled health professionals, and midwives in Nepal","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-26 11:10:33","doi":"10.21203/rs.3.rs-7643872/v1","editorialEvents":[],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"nature-health","isNatureJournal":true,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"nathealth","sideBox":"Learn more about [Nature Health](https://www.nature.com/naturehealth/)","snPcode":"44360","submissionUrl":"https://mts-nathealth.nature.com","title":"Nature Health","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"ejp","reportingPortfolio":"Nature","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"9a5c4691-0853-4f3f-9a2e-a5f9e8cd78b1","owner":[],"postedDate":"September 26th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":55352604,"name":"Health sciences/Health care/Health policy"},{"id":55352605,"name":"Health sciences/Health care/Public health/Epidemiology"}],"tags":[],"updatedAt":"2026-05-09T07:08:06+00:00","versionOfRecord":{"articleIdentity":"rs-7643872","link":"https://doi.org/10.1038/s44360-026-00128-8","journal":{"identity":"nature-health","isVorOnly":false,"title":"Nature Health"},"publishedOn":"2026-05-08 04:00:00","publishedOnDateReadable":"May 8th, 2026"},"versionCreatedAt":"2025-09-26 11:10:33","video":"","vorDoi":"10.1038/s44360-026-00128-8","vorDoiUrl":"https://doi.org/10.1038/s44360-026-00128-8","workflowStages":[]},"version":"v1","identity":"rs-7643872","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7643872","identity":"rs-7643872","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}