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This study aimed to investigate the prevalence and associated factors of unintended pregnancy among antenatal women at a tertiary maternity hospital in Sierra Leone. Methods A cross-sectional study was conducted among 1,005 pregnant women attending their first antenatal visit at Princess Christian Maternity Hospital, Freetown, from March to June 2024. Participants were selected using systematic sampling. Data were collected through a semi-structured questionnaire and analyzed using descriptive statistics and multivariable logistic regression. Results The prevalence of unintended pregnancy was 31.8% (95% CI: 29.0-34.7%), with 30.0% mistimed and 1.8% unwanted. Factors independently associated with unintended pregnancy included age below 20 years (aOR: 3.57, 95% CI: 2.30-5.55, p<0.001), non-married status (aOR: 3.73, 95% CI: 2.60-5.36, p<0.001), and unemployment or student status (aOR: 1.74, 95% CI: 1.25-2.42, p=0.001). Women who communicated with their partner about pregnancy (aOR: 0.10, 95% CI: 0.07-0.16, p<0.001) and whose pregnancy was desired by their partner (aOR: 0.05, 95% CI: 0.03-0.09, p<0.001) had significantly lower odds of unintended pregnancy. Conclusion The high prevalence of unintended pregnancy, particularly among younger, unmarried, and economically vulnerable women, underscores the urgent need for targeted interventions. Enhancing partner communication and male involvement in family planning could significantly reduce unintended pregnancies. These findings could inform the development of comprehensive reproductive health strategies in Sierra Leone and similar settings. Sexual & Reproductive Medicine Sexual & Reproductive Medicine Unintended Pregnancy Sierra Leone Antenatal Care Family Planning Introduction Unintended pregnancies, encompassing both mistimed and unwanted pregnancies, present a significant challenge to global public health with far-reaching consequences for both maternal and child health.(1,2). Between 2010 and 2014, approximately 44% of pregnancies worldwide were unintended. In developed countries, this figure fell by 30% compared to the 1990-1994 period, whereas in low income countries, it decreased by 16%.(3) It is estimated that the average rate of unintended pregnancy in sub-Saharan Africa (SSA) is approximately 33.9%, which includes 22.1% of mistimed pregnancies and 11.2% of unwanted pregnancies.(4) The 2019 Sierra Leone Demographic and Health Survey (SLDHS) indicated an unintended pregnancy rate of 17%, comprising 14% mistimed pregnancies and 3% unwanted pregnancies.(5) This figure emphasizes the ongoing challenge of unintended pregnancy in Sierra Leone, a country with an alarmingly high global maternal mortality rate partly attributed to inadequate preconception care.(5) The 2013 and 2019 SLDHS reported the prevalence of induced abortions in Sierra Leone as 9%,(5) underscoring the urgent need for improved family planning and reproductive health services. Unintended pregnancy can result in a multitude of unfavorable outcomes, such as premature birth, maternal anxiety and depression, lack of family support, financial challenges, and attempted abortions.(6) In Sierra Leone, women frequently resort to abortion in cases of unintended pregnancy to avoid societal stigma associated with extramarital pregnancies, dropping out of school, and perceived difficulties in child rearing.(7) Despite the high risks associated with unsafe abortions, they are often viewed as a more favorable option to avoid shame and social consequences.(8) Modern contraceptive methods, which involve products or medical procedures that prevent pregnancy during sexual intercourse, are critical in preventing unintended pregnancy.(9) These methods are rooted in sound reproductive biology, have precise protocols for correct usage, and have demonstrated efficacy through well-designed studies.(10) However, the prevalence of modern contraceptive use in Africa remains low, at approximately 26%.(11) Although there was a slight increase in modern contraceptive use from 20% in 2013 to 24% in 2019, the level of contraceptive coverage remained insufficient in Sierra Leone.(12) The World Health Organization (WHO) has reported that approximately two-thirds of unintended pregnancies in low-income countries are caused by a lack or limited access to contraceptive methods.(13) . This staggering statistic highlights the pressing need for increased access to and utilization of modern contraceptive methods in these countries. Studies conducted in various African countries have identified a range of factors that contribute to unintended pregnancy, including age, parity, marital status, educational level, communication between partners regarding family planning, and contraceptive awareness.(4,11,14–17) The 2019 SLDHS provided invaluable data on the prevalence of unintended pregnancies. However, there is a lack of research on the specific factors associated with this issue. This dearth of evidence hinders evidence-based policymaking and implementation of targeted interventions aimed at enhancing sexual and reproductive health outcomes in Sierra Leone. In this study, we investigated the prevalence, associated factors, and implications of unintended pregnancy among women who attended antenatal clinics at a tertiary referral hospital for maternity care in Sierra Leone. Methods Study Design and Setting We conducted a cross-sectional, questionnaire-based study at the Princess Christian Maternity Hospital (PCMH) in Freetown, Sierra Leone. PCMH is a public government-owned facility, that serves as the country's national referral maternity hospital, and is affiliated with the University of Sierra Leone Teaching Hospitals Complex. This setting provides access to a diverse population of pregnant women. Participants and sampling Inclusion and exclusion criteria Eligible participants were women of childbearing age attending their first antenatal clinic visit at PCMH. We excluded women who were too ill to participate or had diagnosed psychiatric disorders or learning disabilities that could impair their ability to provide informed consent or accurate responses. Sampling strategy We employed a systematic sampling method to recruit participants from March 19 to June 30, 2024. Using the antenatal clinic registration book as a sampling frame, we calculated a sampling interval (K) by dividing the estimated monthly first-visit attendees (approximately 900) by our predetermined sample size. This resulted in the selection of every third eligible woman after triage. Sample size We initially calculated the sample size using the single population proportion formula: n = [Z^2 × P(1-P)] / d^2 Where: n = sample size P = expected prevalence of unintended pregnancy (29.9%, based on Ojuok et al., 2022)(18) Z = 1.96 (95% confidence level) d = 0.05 (5% precision) This yielded an initial sample size of 322. We then adjusted for a finite population correction: nf = n / [1 + (n/N)] Where N = 2000 (estimated target population size), resulting in a final calculated sample size of 277. However, we ultimately collected data from 1,005 participants, which significantly exceeded our initial calculations. This larger sample size was intentionally pursued to enhance the study's statistical power, allowing for more precise estimates, improved generalizability, and a more robust analysis of less common factors associated with unintended pregnancy. Data collection Trained research assistants administered a semi-structured questionnaire to participants in a dedicated space within the antenatal clinic, to ensure privacy during the interview. The questionnaire was developed based on review of previous similar studies(19–21) and expert consultations, and contextualized for relevance. The tool covered socio-demographic characteristics, obstetric and medical history, contraceptive knowledge and use, pregnancy intention and related factors, partner relationship dynamics, and socioeconomic status indicators. To ensure data quality, we conducted pilot testing of the questionnaire and provided comprehensive training to the research team on interview techniques and ethical considerations. Statistical analysis Descriptive analysis was performed, and the mean and standard deviation for normally distributed continuous variables and median and interquartile range for non-normally distributed variables were reported. Student’s t-test or Mann–Whitney U test was used to analyze normally and non-normally distributed continuous variables, respectively. Chi-square analysis or Fisher’s exact test was used to analyze categorical variables as appropriate. Multivariable regression models were used to identify associations between unintended pregnancy and epidemiological factors, as well as variables regarding contraceptive use and relationship with the partner. Variables were selected for inclusion based on theoretical relevance and bivariate analysis results (p < 0.2). We reported adjusted odds ratios (aOR) with 95% confidence intervals (CI) and considered p-values < 0.05 as statistically significant. We performed statistical analyses using SPSS version 27 (IBM Corp, Armonk, NY, USA). Ethical considerations This study received approval from the Sierra Leone Ethics and Scientific Review Committee (SLESRC No: 005/03/2024). We obtained written informed consent from all participants prior to their involvement. Participants were assured of confidentiality, anonymity, and their right to withdraw at any time without consequences. We implemented strict data protection measures, including de-identification of personal information and secure data storage. Results Sociodemographic characteristics of participants (n=1,005) Table 1 presents the sociodemographic characteristics of 1,005 pregnant women who attended the antenatal clinic at Princess Christian Maternity Hospital (PCMH) during the study period. The majority of participants (88.8%) were 20 years of age or older. The mean (standard deviation) age was 25.7 (5.37) years. Islam was the predominant faith, with 77.6% of participants identifying as Muslim. Most women (79.1%) were multiparous, having given birth at least once before, while 20.9% were nulliparous. Nearly half (48.2%) of the respondents were self-employed, 20.1% were housewives, and 26.4% were either unemployed or students. The distribution was diverse, with 57.4% having completed secondary education, 17.4% reaching the tertiary level, and 20.6% reporting no formal education. The majority (73.0%) were married, while 18.0% were single. A substantial proportion (71.0%) of respondents reported previous use of modern contraceptives, whereas 29.0% had never used them. Regarding pregnancy intention, 320 participants (31.8%) reported unintended pregnancies. Of these, 302 (30.0%) were classified as mistimed, and 18 (1.8%) as unwanted. The remaining 685 participants (68.2%) reported their pregnancies as intended. Sociodemographic characteristics were strongly associated with unintended pregnancy. As shown in Table 2 , women under 20 years of age had a significantly higher prevalence of unintended pregnancy compared to older women (61.1% vs. 28.1%, p<0.001). Nulliparous women also reported higher rates of unintended pregnancy than multiparous women (39.1% vs. 29.6-30.3%, p=0.012). Marital status was strongly associated with pregnancy intention, with never-married women reporting the highest prevalence of unintended pregnancies (59.7%), followed by divorced/separated/widowed women (50.0%), while married women had the lowest prevalence (24.3%) (p<0.001). Sociodemographic characteristics independently associated with unintended pregnancy Multivariate analysis revealed that maternal age below 20 years (aOR: 3.57, 95% CI: 2.30-5.55, p<0.001), non-married status (aOR: 3.73, 95% CI: 2.60-5.36, p<0.001), and being unemployed or a student (aOR: 1.74, 95% CI: 1.25-2.42, p=0.001) were independently associated with unintended pregnancy ( Table 3 ). Table 4 highlights partner-related factors. Women who communicated with their partner about pregnancy were significantly less likely to report an unintended pregnancy (aOR: 0.10, 95% CI: 0.07-0.16, p<0.001). Similarly, women whose pregnancy was desired by their partner had lower odds of unintended pregnancy (aOR: 0.05, 95% CI: 0.03-0.09, p<0.001). Also, women who reported to be victim of sexual violence were more likely to report unintended pregnancy, although this association was not statistically significant. Discussion In this cross-sectional study conducted from March 19 to June 30, 2024, we examined the prevalence and associated factors of unintended pregnancy at the Primary Referral Maternity Hospital in Freetown, Sierra Leone. We observed a prevalence of 31.8% for unintended pregnancies, with 30.0% classified as mistimed and 1.8% as unwanted. Factors independently associated with unintended pregnancy included age below 20 years, non-married status, and unemployment or student status. Women who communicated with their partner about pregnancy and whose pregnancy was desired by their partner had significantly lower odds of unintended pregnancy. The 31.8% prevalence of unintended pregnancies in our study is higher than the 17% reported in the 2019 SLDHS.(5) This discrepancy underscores the complex nature of unintended pregnancies and highlights the importance of considering contextual factors in prevalence assessments. While the prevalence reported from the SLDHS was a nationally representative value, the higher figure from our study was institutionally derived and suggests there may be more variability, at the sub-nationally levels in Sierra Leone, with the burden and nature of unintended pregnancy. We found that 30.0% of pregnancies were mistimed and 1.8% were unwanted, differing from the SLDHS figures of 14% and 3%, respectively.(5) Notwithstanding, the prevalence observed in our study aligns with reports from SSA, which have shown considerable variability. Comparable rates were found in North Ethiopia (26%), Ghana (29.8%), and Southeast Ethiopia (37.2%).(21–23) In contrast, substantially lower prevalences were reported in Abuja Teaching Hospital, Nigeria (16%), and Gondar Town, Ethiopia (20.6%).(15,20) Conversely, higher rates were observed in the 2014 Ghana Demographic and Health Survey (DHS)(40%) and across three Tanzanian districts (45.9%).(21,24) These variations highlight the importance of considering regional and methodological differences when interpreting prevalence data across different studies and geographical contexts. Several factors may contribute to the higher prevalence of unintended pregnancies observed in our study. The setting PCMH, as the main obstetric referral center in Sierra Leone, likely receives a significant proportion of high-risk pregnancies, including those among teenagers. Additionally, as a public hospital, PCMH probably serves a population with lower socioeconomic status, who may be at higher risk for unintended pregnancies, while individuals with higher socioeconomic status might be more likely to choose private hospitals. We identified several sociodemographic factors significantly associated with unintended pregnancy in Sierra Leone. The most prominent factors include age under 20 years, unemployment or student status, nulliparity, and never having been married. Our results align with several studies conducted in similar settings across Africa. For instance, a survey among women in Nairobi slums reported comparable associations between unintended pregnancy and factors such as age, parity, and marital status.(19) The higher proportion of unintended pregnancies among women under 20 years in our study is consistent with trends observed in the 2014 Ghana DHS(21) and a population-based survey in Gambia.(16) The association between unmarried status and higher odds of unintended pregnancy in our study corroborates findings from various other research efforts.(25,26) Another study in Gambia found that unmarried women were 11.38 fold more likely to experience an unintended pregnancy compared to married women.(16) Our finding regarding the association between nulliparity and unintended pregnancy contrasts with some studies from Ghana that reported higher odds of unintended pregnancy with increasing parity.(14,21) This discrepancy highlights the importance of considering local contexts when interpreting such associations. Several factors may underlie the observed associations. Younger women and adolescent girls in Sierra Leone, often still in secondary school and dependent, may be more vulnerable to unintended pregnancies, owing to a combination of factors. These include a higher likelihood of engaging in unprotected sexual activities, possibly driven by peer pressure or material motivations,(27) and reliance on potentially uninformed sources (parents, peers, media) for information about sexual maturation and reproductive health. The higher prevalence among unmarried women may be influenced by societal norms in Sierra Leone, where access to reproductive health services such as contraception is reduced for single women compared to married women. This societal pressure could even lead to a reluctance to seek family planning advice. The association between nulliparity and unintended pregnancy in our context may be explained by the fact that nulliparous women tend to be younger, still in school, and unemployed, potentially rendering them less prepared for pregnancy. Limited knowledge of sexual and reproductive health among nulliparous participants may also contribute to this observation. The strong protective effect of partner communication and partner desire for pregnancy on unintended pregnancy rates highlights the critical role of male involvement in reproductive health decisions. This finding aligns with growing evidence from other low- and middle-income countries emphasizing the importance of engaging men in family planning efforts.(14,17) Studies have identified factors such as awareness of traditional family planning methods, inter-partner communication, and women's limited autonomy as associated with unintended pregnancies.(14,17,28) Additionally, reproductive coercion, intimate partner violence, and exposure to partner violence have been linked to an increased risk of unintended pregnancies.(28,29) In our study, we reported a higher frequency of sexual abuse among women who reported unintended pregnancy, although not significant. In our opinion, considering the disruptive implications for women’s health and autonomy, as well as potential consequences if the violence is perpetrated during pregnancy, this finding is alarming and deserves additional investigation.(2,30) Our findings have significant clinical and policy implications for addressing unintended pregnancies in Sierra Leone. Clinically, there is an urgent need for targeted interventions, particularly for young, unmarried, and economically disadvantaged women. Healthcare providers should offer age-appropriate sexual and reproductive health education, tailored counseling, and improved access to family planning services. These efforts should be complemented by strategies to engage men in reproductive health decisions and promote partner communication regarding family planning. From a policy perspective, addressing socioeconomic factors associated with unintended pregnancies is crucial. This includes implementing economic empowerment programs and educational support initiatives, particularly for adolescents and young adults. Policies should also focus on strengthening contraceptive services and improving accessibility and quality. By adopting a comprehensive approach that addresses both clinical and socioeconomic factors, Sierra Leone can reduce unintended pregnancies and improve the overall reproductive health outcomes. Limitations This study has some limitations. The cross-sectional design limits our ability to establish causal relationships between the identified factors and unintended pregnancies. Additionally, the single-center nature of our study may limit the generalizability of our findings to other settings in Sierra Leone. Future research should consider multi-center studies and longitudinal designs to better understand the dynamics of unintended pregnancies over time and across different healthcare settings. Conclusion This study reveals a 31.8% prevalence of unintended pregnancies at a tertiary referral hospital in Freetown, Sierra Leone. Factors independently associated with unintended pregnancy include young age, unmarried status, unemployment or student status, and nulliparity. The protective effect of partner communication and desire for pregnancy underscores the importance of male involvement in reproductive health decisions. These findings highlight the complex interplay between sociodemographic, economic, and relational factors that influence unintended pregnancies. A multifaceted approach is necessary that incorporates age-appropriate sexual education, improved access to family planning services, economic empowerment programs, and initiatives promoting partner communication. Abbreviations aOR: Adjusted odds ratio; DHS: Demographic Health Survey; PCMH: Princess Christian Maternity Hospital; SLDHS: Sierra Leone Demographic Health Survey; SLESRC: Sierra Leone Ethics and Scientific Review Committee; SSA: sub-Saharan Africa; WHO: World Health Organization. Declarations Ethics approval and consent to participate This study received approval from the Sierra Leone Ethics and Scientific Review Committee (SLESRC No: 005/03/2024). We obtained written informed consent from all participants prior to their involvement. Participants were assured of confidentiality, anonymity, and their right to withdraw at any time without consequences. We implemented strict data protection measures, including de-identification of personal information and secure data storage. Consent for publication Not applicable Availability of data and materials Data can be obtained upon request from the corresponding author, Dr. Alieu Kanu ( [email protected] ). All the authors fully comprehend the importance of disseminating individual-level data. Our objective is to ensure that the data generated from our research are gathered, organized, managed, and shared in a manner that optimizes their usefulness. Competing interest The authors declare that they have no competing interest. Funding This study did not obtain any grants from funding entities in the public, commercial, or non-profit domains. Authors` contributions AK and AKB were responsible for the conceptualization of the study. AK, AKB, MO, SK, ME, and MBJ were responsible for the design and implementation of the study. AK, AKB, IPJ, FYT, SK, and FJ were responsible for obtaining consent and collecting the data. ES and MO conducted the data analysis, and AK, MO, and MBJ wrote the results. AK and MBJ wrote the other sections of the manuscript. All authors critically reviewed and approved the final manuscript. Acknowledgements We extend our heartfelt gratitude to the management of Princess Christian Maternity Hospital for enabling us to conduct this study at their facility. We also acknowledge the department head and staff of the hospital who provided invaluable support in various ways during this research. We express our sincere appreciation to the pregnant participants, who graciously cooperated during the interviews. Authors` information AK, AKB: Medical Doctor and early career researchers, University of Sierra Leone Teaching Hospitals Complex: Princess Christian Maternity Hospital, Freetown, Sierra Leone; MO: Board-certified Obstetrician and Gynecologist at the Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Italy, and former Technical Advisor at the University of Sierra Leone Teaching Hospitals Complex on behalf of Doctors with Africa CUAMM; IPJ, FYT, FJ: Medical Students, College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone; SK: Registrar, University of Sierra Leone Teaching Hospitals Complex: Princess Christian Maternity Hospital, Freetown, Sierra Leone; ME: Consultant Obstetrician and Gynecologist, University of Sierra Leone Teaching Hospitals Complex: Princess Christian Maternity Hospital, Freetown, Sierra Leone; ES: Full Professor of Obstetrics and Gynecology at the University of Milan and Head of Infertility Unit, Obstetric and Gynecological Emergency Room and Sexual and Domestic Violence Aid at the Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Italy; MBJ: Research Fellow, McMaster University, Hamilton ON, Canada References Sedgh G, Singh S, Hussain R. Intended and unintended pregnancies worldwide in 2012 and recent trends. Stud Fam Plann. 2014 Sep;45(3):301–14. Nelson HD, Darney BG, Ahrens K, Burgess A, Jungbauer RM, Cantor A, et al. Associations of Unintended Pregnancy With Maternal and Infant Health Outcomes: A Systematic Review and Meta-analysis. JAMA [Internet]. 2022 Nov 1;328(17):1714–29. Available from: https://doi.org/10.1001/jama.2022.19097 Bearak J, Popinchalk A, Alkema L, Sedgh G. Global, regional, and subregional trends in unintended pregnancy and its outcomes from 1990 to 2014: estimates from a Bayesian hierarchical model. Lancet Glob Heal. 2018 Apr;6(4):e380–9. Bain LE, Zweekhorst MBM, de Cock Buning T. Prevalence and Determinants of Unintended Pregnancy in Sub -Saharan Africa: A Systematic Review. Afr J Reprod Health. 2020 Jun;24(2):187–205. Statistics Sierra Leone Stats SL and ICF. Sierra Leone Demographic and Health Survey 2019 [Internet]. Freetown/Sierra Leone: StatsSL/ICF; 2020. Available from: https://www.dhsprogram.com/pubs/pdf/FR365/FR365.pdf Hastuti P, Juwita B, Yunitasari E. The Impacts of Unplanned Pregnancy on Adolescence: A Literature Review. Nurse Holist Care [Internet]. 2021; Available from: https://api.semanticscholar.org/CorpusID:250041049 McLean KE. Contemplating abortion: a qualitative study of men and women’s reactions to unplanned pregnancy in Sierra Leone. Cult Health Sex. 2023 Apr;25(4):444–58. Burtscher D, Schulte-Hillen C, Saint-Sauveur J-F, De Plecker E, Nair M, Arsenijević J. “Better dead than being mocked”: an anthropological study on perceptions and attitudes towards unwanted pregnancy and abortion in the Democratic Republic of Congo. Sex Reprod Heal matters. 2020 Dec;28(1):1852644. Hubacher D, Trussell J. A definition of modern contraceptive methods. Contraception. 2015 Nov;92(5):420–1. Festin MPR, Kiarie J, Solo J, Spieler J, Malarcher S, Van Look PFA, et al. Moving towards the goals of FP2020 - classifying contraceptives. Contraception. 2016 Oct;94(4):289–94. Apanga PA, Kumbeni MT, Ayamga EA, Ulanja MB, Akparibo R. Prevalence and factors associated with modern contraceptive use among women of reproductive age in 20 African countries: a large population-based study. BMJ Open. 2020 Sep;10(9):e041103. Sesay FR, Anaba EA, Manu A, Maya E, Torpey K, Adanu RMK. Determinants of induced abortion among women of reproductive age: evidence from the 2013 and 2019 Sierra Leone Demographic and Health Survey. BMC Womens Health. 2023 Feb;23(1):44. Unintended Pregnancy and Abortion Worldwide [Internet]. Guttmacher Institute. [cited 2024 Aug 3]. Available from: https://www.guttmacher.org/fact-sheet/induced-abortion-worldwide Eliason S, Baiden F, Yankey BA, Awusabo-Asare K. Determinants of unintended pregnancies in rural Ghana. BMC Pregnancy Childbirth. 2014 Aug;14:261. Agida TE, Akaba GO, Ekele BA, Adebayo F. Unintended pregnancy among antenatal women in a tertiary hospital in North Central Nigeria. Niger Med J. 2016;57(6):334–8. Barrow A, Jobe A, Barrow S, Touray E, Ekholuenetale M. Prevalence and factors associated with unplanned pregnancy in The Gambia: findings from 2018 population-based survey. BMC Pregnancy Childbirth. 2022 Jan;22(1):17. Haffejee F, O’Connor L, Govender N, Reddy P, Sibiya MN, Ghuman S, et al. Factors associated with unintended pregnancy among women attending a public health facility in KwaZulu-Natal, South Africa. South African Fam Pract [Internet]. 2018 Jun 22;60(3):79–83. Available from: https://doi.org/10.1080/20786190.2017.1396790 Ojuok R, Nyamongo DD, Mutai DJ. Determinants of unintended pregnancy among women attending antenatal clinic at Kenyatta National Hospital. F1000Research. 2022;11:585. Ikamari L, Izugbara C, Ochako R. Prevalence and determinants of unintended pregnancy among women in Nairobi, Kenya. BMC Pregnancy Childbirth. 2013 Mar;13:69. Yenealem F, Niberet G. Prevalence and associated factors of unintended pregnancy among pregnant woman in Gondar town, North west Ethiopia, 2014. BMC Res Notes. 2019 Mar;12(1):161. Ameyaw EK. Prevalence and correlates of unintended pregnancy in Ghana: Analysis of 2014 Ghana Demographic and Health Survey. Matern Heal Neonatol Perinatol. 2018;4:17. Darega B, Dida N. Unplanned pregnancy: Prevalence and Associated factors among Antenatal Care Attending Women in Bale Zone, Oromiya Region, Southeast Ethiopia: A facility - based cross sectional study. J Med Res [Internet]. 2015;15. Available from: https://api.semanticscholar.org/CorpusID:53971032 Gebremariam Weldearegawi G, Tekola KB, Fseha Teklehaymanot B. Magnitude and Associated Factors of Unintended Pregnancy among Pregnant Women at Saesie Tsaeda Emba Woreda Eastern Zone of Tigray, North Ethiopia, 2018. J Pregnancy. 2019;2019:1694808. Exavery A, Kanté AM, Njozi M, Tani K, Doctor H V, Hingora A, et al. Predictors of mistimed, and unwanted pregnancies among women of childbearing age in Rufiji, Kilombero, and Ulanga districts of Tanzania. Reprod Health. 2014 Aug;11:63. Lachance-Grzela M, Bouchard G. The well-being of cohabiting and married couples during pregnancy: Does pregnancy planning matter? J Soc Pers Relat [Internet]. 2009 Mar 1;26(2–3):141–59. Available from: https://doi.org/10.1177/0265407509106705 Bouchard G. Adult Couples Facing a Planned or an Unplanned Pregnancy: Two Realities. J Fam Issues [Internet]. 2005 Jul 1;26(5):619–37. Available from: https://doi.org/10.1177/0192513X04272756 Rahman M. Women’s autonomy and unintended pregnancy among currently pregnant women in Bangladesh. Matern Child Health J. 2012 Aug;16(6):1206–14. Miller E, Decker MR, McCauley HL, Tancredi DJ, Levenson RR, Waldman J, et al. Pregnancy coercion, intimate partner violence and unintended pregnancy. Contraception. 2010 Apr;81(4):316–22. Azevêdo AC da C, Araújo TVB de, Valongueiro S, Ludermir AB. Intimate partner violence and unintended pregnancy: prevalence and associated factors. Cad Saude Publica. 2013 Dec;29(12):2394–404. Donovan BM, Spracklen CN, Schweizer ML, Ryckman KK, Saftlas AF. Intimate partner violence during pregnancy and the risk for adverse infant outcomes: a systematic review and meta-analysis. BJOG. 2016 Jul;123(8):1289–99. Tables Tables 1 to 4 are available in the Supplementary Files section Additional Declarations The authors declare no competing interests. Supplementary Files Tables1.docx Tables Cite Share Download PDF Status: Posted 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5271547","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":366498395,"identity":"0e5d784a-38c7-45d2-9cfc-c61da02b76aa","order_by":0,"name":"Alieu 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University of Sierra Leone Teaching Hospitals Complex, Freetown, Sierra Leone.","correspondingAuthor":false,"prefix":"","firstName":"Abdul","middleName":"Karim","lastName":"Bah","suffix":""},{"id":366500851,"identity":"87362d42-8f75-46a8-8fcd-98c1ca87ac9b","order_by":2,"name":"Michele Orsi","email":"","orcid":"https://orcid.org/0000-0001-5219-4909","institution":"Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy.","correspondingAuthor":false,"prefix":"","firstName":"Michele","middleName":"","lastName":"Orsi","suffix":""},{"id":366501167,"identity":"d8b5e31f-cb59-4b08-918e-37875b7b507b","order_by":3,"name":"Iye Pateh Jalloh","email":"","orcid":"","institution":"College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone","correspondingAuthor":false,"prefix":"","firstName":"Iye","middleName":"Pateh","lastName":"Jalloh","suffix":""},{"id":366501168,"identity":"d03930d2-62a6-4163-8813-ce7bba9dd49c","order_by":4,"name":"Fatmata Yeanoh Turay","email":"","orcid":"","institution":"College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone","correspondingAuthor":false,"prefix":"","firstName":"Fatmata","middleName":"Yeanoh","lastName":"Turay","suffix":""},{"id":366501169,"identity":"94006fef-affd-4bcd-9570-f24e1987af44","order_by":5,"name":"Sulaiman Kanu","email":"","orcid":"","institution":"Princess Christian Maternity Hospital, University of Sierra Leone Teaching Hospitals Complex, Freetown, Sierra Leone.","correspondingAuthor":false,"prefix":"","firstName":"Sulaiman","middleName":"","lastName":"Kanu","suffix":""},{"id":366502987,"identity":"7757ef11-7870-4726-98c3-7c73e9ac4f97","order_by":6,"name":"Edgardo Somigliana","email":"","orcid":"https://orcid.org/0000-0002-0223-0032","institution":"Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy.","correspondingAuthor":false,"prefix":"","firstName":"Edgardo","middleName":"","lastName":"Somigliana","suffix":""},{"id":366502988,"identity":"ab4cd10e-eeb7-462f-9e79-2cccd6e367d6","order_by":7,"name":"Fatima Jalloh","email":"","orcid":"","institution":"College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone","correspondingAuthor":false,"prefix":"","firstName":"Fatima","middleName":"","lastName":"Jalloh","suffix":""},{"id":366502989,"identity":"65f95e98-4055-4fa4-92b7-0b583cea84e7","order_by":8,"name":"Michael Ezeanochie","email":"","orcid":"https://orcid.org/0000-0002-2096-8532","institution":"Princess Christian Maternity Hospital, University of Sierra Leone Teaching Hospitals Complex, Freetown, Sierra Leone.","correspondingAuthor":false,"prefix":"","firstName":"Michael","middleName":"","lastName":"Ezeanochie","suffix":""},{"id":366502990,"identity":"adbf24f5-0161-4394-acc1-58b24baf5ea7","order_by":9,"name":"Mohamed Bella Jalloh","email":"","orcid":"https://orcid.org/0000-0002-3172-2749","institution":"Department of Medicine, McMaster University, Hamilton, ON, Canada","correspondingAuthor":false,"prefix":"","firstName":"Mohamed","middleName":"Bella","lastName":"Jalloh","suffix":""}],"badges":[],"createdAt":"2024-10-15 23:40:57","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5271547/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5271547/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":66852620,"identity":"f26aa4e7-1e45-4bc3-a86c-9982b31383eb","added_by":"auto","created_at":"2024-10-17 07:17:37","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":435183,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5271547/v1/58ab1f92-a1c3-45cd-9aea-18e5c566a250.pdf"},{"id":66852618,"identity":"1e34256b-0a9a-4282-af85-4c4a533059ea","added_by":"auto","created_at":"2024-10-17 07:17:33","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":22750,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eTables\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Tables1.docx","url":"https://assets-eu.researchsquare.com/files/rs-5271547/v1/ff0d8d26da9e819064873ad0.docx"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eUnintended Pregnancy Among Antenatal Women at A Tertiary Maternity Hospital in Sierra Leone: Prevalence and Associated Factors\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eUnintended pregnancies, encompassing both mistimed and unwanted pregnancies, present a significant challenge to global public health with far-reaching consequences for both maternal and child health.(1,2). Between 2010 and 2014, approximately 44% of pregnancies worldwide were unintended. In developed countries, this figure fell by 30% compared to the 1990-1994 period, whereas in low income countries, it decreased by 16%.(3)\u0026nbsp;It is estimated that the average rate of unintended pregnancy in sub-Saharan Africa (SSA) is approximately 33.9%, which includes 22.1% of mistimed pregnancies and 11.2% of unwanted pregnancies.(4)\u003c/p\u003e\n\u003cp\u003eThe 2019 Sierra Leone Demographic and Health Survey (SLDHS) indicated an unintended pregnancy rate of 17%, comprising 14% mistimed pregnancies and 3% unwanted pregnancies.(5)\u0026nbsp;This figure emphasizes the ongoing challenge of unintended pregnancy in Sierra Leone, a country with an alarmingly high global maternal mortality rate partly attributed to inadequate preconception care.(5)\u0026nbsp;The 2013 and 2019 SLDHS reported the prevalence of induced abortions in Sierra Leone as 9%,(5)\u0026nbsp;underscoring the urgent need for improved family planning and reproductive health services.\u003c/p\u003e\n\u003cp\u003eUnintended pregnancy can result in a multitude of unfavorable outcomes, such as premature birth, maternal anxiety and depression, lack of family support, financial challenges, and attempted abortions.(6)\u0026nbsp;In Sierra Leone, women frequently resort to abortion in cases of unintended pregnancy to avoid societal stigma associated with extramarital pregnancies, dropping out of school, and perceived difficulties in child rearing.(7)\u0026nbsp;Despite the high risks associated with unsafe abortions, they are often viewed as a more favorable option to avoid shame and social consequences.(8)\u003c/p\u003e\n\u003cp\u003eModern contraceptive methods, which involve products or medical procedures that prevent pregnancy during sexual intercourse, are critical in preventing unintended pregnancy.(9)\u0026nbsp;These methods are rooted in sound reproductive biology, have precise protocols for correct usage, and have demonstrated efficacy through well-designed studies.(10)\u0026nbsp;However, the prevalence of modern contraceptive use in Africa remains low, at approximately 26%.(11)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAlthough there was a slight increase in modern contraceptive use from 20% in 2013 to 24% in 2019, the level of contraceptive coverage remained insufficient in Sierra Leone.(12)\u003c/p\u003e\n\u003cp\u003eThe World Health Organization (WHO) has reported that approximately two-thirds of unintended pregnancies in low-income countries are caused by a lack or limited access to contraceptive methods.(13)\u0026nbsp;. This staggering statistic highlights the pressing need for increased access to and utilization of modern contraceptive methods in these countries. Studies conducted in various African countries have identified a range of factors that contribute to unintended pregnancy, including age, parity, marital status, educational level, communication between partners regarding family planning, and contraceptive awareness.(4,11,14\u0026ndash;17)\u003c/p\u003e\n\u003cp\u003eThe 2019 SLDHS provided invaluable data on the prevalence of unintended pregnancies. However, there is a lack of research on the specific factors associated with this issue. This dearth of evidence hinders evidence-based policymaking and implementation of targeted interventions aimed at enhancing sexual and reproductive health outcomes in Sierra Leone. In this study, we investigated the prevalence, associated factors, and implications of unintended pregnancy among women who attended antenatal clinics at a tertiary referral hospital for maternity care in Sierra Leone.\u0026nbsp;\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eStudy Design and Setting\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe conducted a cross-sectional, questionnaire-based study at the Princess Christian Maternity Hospital (PCMH) in Freetown, Sierra Leone. PCMH is a public government-owned facility, that serves as the country\u0026apos;s national referral maternity hospital, and is affiliated with the University of Sierra Leone Teaching Hospitals Complex. This setting provides access to a diverse population of pregnant women.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eParticipants and sampling\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eInclusion and exclusion criteria\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEligible participants were women of childbearing age attending their first antenatal clinic visit at PCMH. We excluded women who were too ill to participate or had diagnosed psychiatric disorders or learning disabilities that could impair their ability to provide informed consent or accurate responses.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eSampling strategy\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe employed a systematic sampling method to recruit participants from March 19 to June 30, 2024. Using the antenatal clinic registration book as a sampling frame, we calculated a sampling interval (K) by dividing the estimated monthly first-visit attendees (approximately 900) by our predetermined sample size. This resulted in the selection of every third eligible woman after triage.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eSample size\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe initially calculated the sample size using the single population proportion formula:\u003c/p\u003e\n\u003cp\u003en = [Z^2 \u0026times; P(1-P)] / d^2\u003c/p\u003e\n\u003cp\u003eWhere:\u003c/p\u003e\n\u003cul class=\"decimal_type\"\u003e\n \u003cli\u003en = sample size\u003c/li\u003e\n \u003cli\u003eP = expected prevalence of unintended pregnancy (29.9%, based on Ojuok et al., 2022)(18)\u003c/li\u003e\n \u003cli\u003eZ = 1.96 (95% confidence level)\u003c/li\u003e\n \u003cli\u003ed = 0.05 (5% precision)\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThis yielded an initial sample size of 322. We then adjusted for a finite population correction:\u003c/p\u003e\n\u003cp\u003enf = n / [1 + (n/N)]\u003c/p\u003e\n\u003cp\u003eWhere N = 2000 (estimated target population size), resulting in a final calculated sample size of 277.\u003c/p\u003e\n\u003cp\u003eHowever, we ultimately collected data from 1,005 participants, which significantly exceeded our initial calculations. This larger sample size was intentionally pursued to enhance the study\u0026apos;s statistical power, allowing for more precise estimates, improved generalizability, and a more robust analysis of less common factors associated with unintended pregnancy.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData collection\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTrained research assistants administered a semi-structured questionnaire to participants in a dedicated space within the antenatal clinic, to ensure privacy during the interview. The questionnaire was developed based on review of previous similar studies(19\u0026ndash;21)\u0026nbsp;and expert consultations, and contextualized for relevance. The tool covered socio-demographic characteristics, obstetric and medical history, contraceptive knowledge and use, pregnancy intention and related factors, partner relationship dynamics, and socioeconomic status indicators. To ensure data quality, we conducted pilot testing of the questionnaire and provided comprehensive training to the research team on interview techniques and ethical considerations.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDescriptive analysis was performed, and the mean and standard deviation for normally distributed continuous variables and median and interquartile range for non-normally distributed variables were reported. Student\u0026rsquo;s t-test or Mann\u0026ndash;Whitney U test was used to analyze normally and non-normally distributed continuous variables, respectively. Chi-square analysis or Fisher\u0026rsquo;s exact test was used to analyze categorical variables as appropriate. Multivariable regression models were used to identify associations between unintended pregnancy and epidemiological factors, as well as variables regarding contraceptive use and relationship with the partner. Variables were selected for inclusion based on theoretical relevance and bivariate analysis results (p \u0026lt; 0.2). We reported adjusted odds ratios (aOR) with 95% confidence intervals (CI) and considered p-values \u0026lt; 0.05 as statistically significant. We performed statistical analyses using SPSS version 27 (IBM Corp, Armonk, NY, USA).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical considerations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study received approval from the Sierra Leone Ethics and Scientific Review Committee (SLESRC No: 005/03/2024). We obtained written informed consent from all participants prior to their involvement. Participants were assured of confidentiality, anonymity, and their right to withdraw at any time without consequences. We implemented strict data protection measures, including de-identification of personal information and secure data storage.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eSociodemographic characteristics of participants (n=1,005)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e presents the sociodemographic characteristics of 1,005 pregnant women who attended the antenatal clinic at Princess Christian Maternity Hospital (PCMH) during the study period. The majority of participants (88.8%) were 20 years of age or older. The mean (standard deviation) age was\u0026nbsp;25.7 (5.37) years.\u0026nbsp;Islam was the predominant faith, with 77.6% of participants identifying as Muslim. Most women (79.1%) were multiparous, having given birth at least once before, while 20.9% were nulliparous. Nearly half (48.2%) of the respondents were self-employed, 20.1% were housewives, and 26.4% were either unemployed or students. The distribution was diverse, with 57.4% having completed secondary education, 17.4% reaching the tertiary level, and 20.6% reporting no formal education. The majority (73.0%) were married, while 18.0% were single. A substantial proportion (71.0%) of respondents reported previous use of modern contraceptives, whereas 29.0% had never used them.\u003c/p\u003e\n\u003cp\u003eRegarding pregnancy intention, 320 participants (31.8%) reported unintended pregnancies. Of these, 302 (30.0%) were classified as mistimed, and 18 (1.8%) as unwanted. The remaining 685 participants (68.2%) reported their pregnancies as intended.\u003c/p\u003e\n\u003cp\u003eSociodemographic characteristics were strongly associated with unintended pregnancy. As shown in\u0026nbsp;\u003cstrong\u003eTable 2\u003c/strong\u003e, women under 20 years of age had a significantly higher prevalence of unintended pregnancy compared to older women (61.1% vs. 28.1%, p\u0026lt;0.001). Nulliparous women also reported higher rates of unintended pregnancy than multiparous women (39.1% vs. 29.6-30.3%, p=0.012). Marital status was strongly associated with pregnancy intention, with never-married women reporting the highest prevalence of unintended pregnancies (59.7%), followed by divorced/separated/widowed women (50.0%), while married women had the lowest prevalence (24.3%) (p\u0026lt;0.001).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSociodemographic characteristics independently associated with unintended pregnancy\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMultivariate analysis revealed that maternal age below 20 years (aOR: 3.57, 95% CI: 2.30-5.55, p\u0026lt;0.001), non-married status (aOR: 3.73, 95% CI: 2.60-5.36, p\u0026lt;0.001), and being unemployed or a student (aOR: 1.74, 95% CI: 1.25-2.42, p=0.001) were independently associated with unintended pregnancy (\u003cstrong\u003eTable 3\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u003c/strong\u003e highlights partner-related factors. Women who communicated with their partner about pregnancy were significantly less likely to report an unintended pregnancy (aOR: 0.10, 95% CI: 0.07-0.16, p\u0026lt;0.001). Similarly, women whose pregnancy was desired by their partner had lower odds of unintended pregnancy (aOR: 0.05, 95% CI: 0.03-0.09, p\u0026lt;0.001). Also, women who reported to be victim of sexual violence were more likely to report unintended pregnancy, although this association was not statistically significant.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn this cross-sectional study conducted from March 19 to June 30, 2024, we examined the prevalence and associated factors of unintended pregnancy at the Primary Referral Maternity Hospital in Freetown, Sierra Leone. We observed a prevalence of 31.8% for unintended pregnancies, with 30.0% classified as mistimed and 1.8% as unwanted.\u0026nbsp;Factors independently associated with unintended pregnancy included age below 20 years, non-married status, and unemployment or student status. Women who communicated with their partner about pregnancy and whose pregnancy was desired by their partner had significantly lower odds of unintended pregnancy.\u003c/p\u003e\n\u003cp\u003eThe 31.8% prevalence of unintended pregnancies in our study is higher than the 17% reported in the 2019 SLDHS.(5)\u0026nbsp;This discrepancy underscores the complex nature of unintended pregnancies and highlights the importance of considering contextual factors in prevalence assessments. While the prevalence reported from the SLDHS was a nationally representative value, the higher figure from our study was institutionally derived and suggests there may be more variability, at the sub-nationally levels in Sierra Leone, with the burden and nature of unintended pregnancy. \u0026nbsp;We found that 30.0% of pregnancies were mistimed and 1.8% were unwanted, differing from the SLDHS figures of 14% and 3%, respectively.(5)\u003c/p\u003e\n\u003cp\u003eNotwithstanding, the prevalence observed in our study aligns with reports from SSA, which have shown considerable variability. Comparable rates were found in North Ethiopia (26%), Ghana (29.8%), and Southeast Ethiopia (37.2%).(21\u0026ndash;23)\u0026nbsp;In contrast, substantially lower prevalences were reported in Abuja Teaching Hospital, Nigeria (16%), and Gondar Town, Ethiopia (20.6%).(15,20)\u0026nbsp;Conversely, higher rates were observed in the 2014 Ghana Demographic and Health Survey (DHS)(40%) and across three Tanzanian districts (45.9%).(21,24)\u0026nbsp;These variations highlight the importance of considering regional and methodological differences when interpreting prevalence data across different studies and geographical contexts.\u003c/p\u003e\n\u003cp\u003eSeveral factors may contribute to the higher prevalence of unintended pregnancies observed in our study. The setting PCMH, as the main obstetric referral center in Sierra Leone, likely receives a significant proportion of high-risk pregnancies, including those among teenagers. Additionally, as a public hospital, PCMH probably serves a population with lower socioeconomic status, who may be at higher risk for unintended pregnancies, while individuals with higher socioeconomic status might be more likely to choose private hospitals.\u003c/p\u003e\n\u003cp\u003eWe identified several sociodemographic factors significantly associated with unintended pregnancy in Sierra Leone. The most prominent factors include age under 20 years, unemployment or student status, nulliparity, and never having been married. Our results align with several studies conducted in similar settings across Africa. For instance, a survey among women in Nairobi slums reported comparable associations between unintended pregnancy and factors such as age, parity, and marital status.(19)\u0026nbsp;The higher proportion of unintended pregnancies among women under 20 years in our study is consistent with trends observed in the 2014 Ghana DHS(21)\u0026nbsp;and a population-based survey in Gambia.(16)\u003c/p\u003e\n\u003cp\u003eThe association between unmarried status and higher odds of unintended pregnancy in our study corroborates findings from various other research efforts.(25,26)\u0026nbsp;Another study in Gambia found that unmarried women were 11.38 fold more likely to experience an unintended pregnancy compared to married women.(16)\u0026nbsp;Our finding regarding the association between nulliparity and unintended pregnancy contrasts with some studies from Ghana that reported higher odds of unintended pregnancy with increasing parity.(14,21)\u0026nbsp;This discrepancy highlights the importance of considering local contexts when interpreting such associations.\u003c/p\u003e\n\u003cp\u003eSeveral factors may underlie the observed associations. Younger women and adolescent girls in Sierra Leone, often still in secondary school and dependent, may be more vulnerable to unintended pregnancies, owing to a combination of factors. These include a higher likelihood of engaging in unprotected sexual activities, possibly driven by peer pressure or material motivations,(27)\u0026nbsp;and reliance on potentially uninformed sources (parents, peers, media) for information about sexual maturation and reproductive health. The higher prevalence among unmarried women may be influenced by societal norms in Sierra Leone, where access to reproductive health services such as contraception is reduced for single women compared to married women. This societal pressure could even lead to a reluctance to seek family planning advice.\u003c/p\u003e\n\u003cp\u003eThe association between nulliparity and unintended pregnancy in our context may be explained by the fact that nulliparous women tend to be younger, still in school, and unemployed, potentially rendering them less prepared for pregnancy. Limited knowledge of sexual and reproductive health among nulliparous participants may also contribute to this observation.\u003c/p\u003e\n\u003cp\u003eThe strong protective effect of partner communication and partner desire for pregnancy on unintended pregnancy rates highlights the critical role of male involvement in reproductive health decisions. This finding aligns with growing evidence from other low- and middle-income countries emphasizing the importance of engaging men in family planning efforts.(14,17)\u0026nbsp;Studies have identified factors such as awareness of traditional family planning methods, inter-partner communication, and women\u0026apos;s limited autonomy as associated with unintended pregnancies.(14,17,28)\u0026nbsp;Additionally, reproductive coercion, intimate partner violence, and exposure to partner violence have been linked to an increased risk of unintended pregnancies.(28,29)\u0026nbsp;In our study, we reported a higher frequency of sexual abuse among women who reported unintended pregnancy, although not significant. In our opinion, considering the disruptive implications for women\u0026rsquo;s health and autonomy, as well as potential consequences if the violence is perpetrated during pregnancy, this finding is alarming and deserves additional investigation.(2,30)\u003c/p\u003e\n\u003cp\u003eOur findings have significant clinical and policy implications for addressing unintended pregnancies in Sierra Leone. Clinically, there is an urgent need for targeted interventions, particularly for young, unmarried, and economically disadvantaged women. Healthcare providers should offer age-appropriate sexual and reproductive health education, tailored counseling, and improved access to family planning services. These efforts should be complemented by strategies to engage men in reproductive health decisions and promote partner communication regarding family planning.\u003c/p\u003e\n\u003cp\u003eFrom a policy perspective, addressing socioeconomic factors associated with unintended pregnancies is crucial. This includes implementing economic empowerment programs and educational support initiatives, particularly for adolescents and young adults. Policies should also focus on strengthening contraceptive services and improving accessibility and quality. By adopting a comprehensive approach that addresses both clinical and socioeconomic factors, Sierra Leone can reduce unintended pregnancies and improve the overall reproductive health outcomes.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLimitations\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study has some limitations. The cross-sectional design limits our ability to establish causal relationships between the identified factors and unintended pregnancies. Additionally, the single-center nature of our study may limit the generalizability of our findings to other settings in Sierra Leone. Future research should consider multi-center studies and longitudinal designs to better understand the dynamics of unintended pregnancies over time and across different healthcare settings.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study reveals a 31.8% prevalence of unintended pregnancies at a tertiary referral hospital in Freetown, Sierra Leone. Factors independently associated with unintended pregnancy include young age, unmarried status, unemployment or student status, and nulliparity. The protective effect of partner communication and desire for pregnancy underscores the importance of male involvement in reproductive health decisions.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThese findings highlight the complex interplay between sociodemographic, economic, and relational factors that influence unintended pregnancies. A multifaceted approach is necessary that incorporates age-appropriate sexual education, improved access to family planning services, economic empowerment programs, and initiatives promoting partner communication.\u0026nbsp;\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eaOR: Adjusted odds ratio; DHS: Demographic Health Survey; PCMH: Princess Christian Maternity Hospital; SLDHS: Sierra Leone Demographic Health Survey; SLESRC: Sierra Leone Ethics and Scientific Review Committee; SSA: sub-Saharan Africa; WHO: World Health Organization.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study received approval from the Sierra Leone Ethics and Scientific Review Committee (SLESRC No: 005/03/2024). We obtained written informed consent from all participants prior to their involvement. Participants were assured of confidentiality, anonymity, and their right to withdraw at any time without consequences. We implemented strict data protection measures, including de-identification of personal information and secure data storage.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData can be obtained upon request from the corresponding author, Dr. Alieu Kanu (
[email protected]). All the authors fully comprehend the importance of disseminating individual-level data. Our objective is to ensure that the data generated from our research are gathered, organized, managed, and shared in a manner that optimizes their usefulness.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study did not obtain any grants from funding entities in the public, commercial, or non-profit domains.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors` contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAK and AKB were responsible for the conceptualization of the study. AK, AKB, MO, SK, ME, and MBJ were responsible for the design and implementation of the study. AK, AKB, IPJ, FYT, SK, and FJ were responsible for obtaining consent and collecting the data. ES and MO conducted the data analysis, and AK, MO, and MBJ wrote the results. AK and MBJ wrote the other sections of the manuscript. All authors critically reviewed and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe extend our heartfelt gratitude to the management of Princess Christian Maternity Hospital for enabling us to conduct this study at their facility. We also acknowledge the department head and staff of the hospital who provided invaluable support in various ways during this research. We express our sincere appreciation to the pregnant participants, who graciously cooperated during the interviews.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors` information\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAK, AKB: Medical Doctor and early career researchers, University of Sierra Leone Teaching Hospitals Complex: Princess Christian Maternity Hospital, Freetown, Sierra Leone; MO: Board-certified Obstetrician and Gynecologist at the Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Italy, and former Technical Advisor at the University of Sierra Leone Teaching Hospitals Complex on behalf of Doctors with Africa CUAMM; IPJ, FYT, FJ: Medical Students, College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone; SK: Registrar, University of Sierra Leone Teaching Hospitals Complex: Princess Christian Maternity Hospital, Freetown, Sierra Leone; ME: Consultant Obstetrician and Gynecologist, University of Sierra Leone Teaching Hospitals Complex: Princess Christian Maternity Hospital, Freetown, Sierra Leone; ES: Full Professor of Obstetrics and Gynecology at the University of Milan and Head of Infertility Unit, Obstetric and Gynecological Emergency Room and Sexual and Domestic Violence Aid at the Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Italy; MBJ: Research Fellow, McMaster University, Hamilton ON, Canada\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eSedgh G, Singh S, Hussain R. Intended and unintended pregnancies worldwide in 2012 and recent trends. Stud Fam Plann. 2014 Sep;45(3):301\u0026ndash;14. \u003c/li\u003e\n\u003cli\u003eNelson HD, Darney BG, Ahrens K, Burgess A, Jungbauer RM, Cantor A, et al. Associations of Unintended Pregnancy With Maternal and Infant Health Outcomes: A Systematic Review and Meta-analysis. JAMA [Internet]. 2022 Nov 1;328(17):1714\u0026ndash;29. Available from: https://doi.org/10.1001/jama.2022.19097\u003c/li\u003e\n\u003cli\u003eBearak J, Popinchalk A, Alkema L, Sedgh G. Global, regional, and subregional trends in unintended pregnancy and its outcomes from 1990 to 2014: estimates from a Bayesian hierarchical model. Lancet Glob Heal. 2018 Apr;6(4):e380\u0026ndash;9. \u003c/li\u003e\n\u003cli\u003eBain LE, Zweekhorst MBM, de Cock Buning T. Prevalence and Determinants of Unintended Pregnancy in Sub -Saharan Africa: A Systematic Review. Afr J Reprod Health. 2020 Jun;24(2):187\u0026ndash;205. \u003c/li\u003e\n\u003cli\u003eStatistics Sierra Leone Stats SL and ICF. Sierra Leone Demographic and Health Survey 2019 [Internet]. Freetown/Sierra Leone: StatsSL/ICF; 2020. Available from: https://www.dhsprogram.com/pubs/pdf/FR365/FR365.pdf\u003c/li\u003e\n\u003cli\u003eHastuti P, Juwita B, Yunitasari E. The Impacts of Unplanned Pregnancy on Adolescence: A Literature Review. Nurse Holist Care [Internet]. 2021; Available from: https://api.semanticscholar.org/CorpusID:250041049\u003c/li\u003e\n\u003cli\u003eMcLean KE. Contemplating abortion: a qualitative study of men and women\u0026rsquo;s reactions to unplanned pregnancy in Sierra Leone. Cult Health Sex. 2023 Apr;25(4):444\u0026ndash;58. \u003c/li\u003e\n\u003cli\u003eBurtscher D, Schulte-Hillen C, Saint-Sauveur J-F, De Plecker E, Nair M, Arsenijević J. \u0026ldquo;Better dead than being mocked\u0026rdquo;: an anthropological study on perceptions and attitudes towards unwanted pregnancy and abortion in the Democratic Republic of Congo. Sex Reprod Heal matters. 2020 Dec;28(1):1852644. \u003c/li\u003e\n\u003cli\u003eHubacher D, Trussell J. A definition of modern contraceptive methods. Contraception. 2015 Nov;92(5):420\u0026ndash;1. \u003c/li\u003e\n\u003cli\u003eFestin MPR, Kiarie J, Solo J, Spieler J, Malarcher S, Van Look PFA, et al. Moving towards the goals of FP2020 - classifying contraceptives. Contraception. 2016 Oct;94(4):289\u0026ndash;94. \u003c/li\u003e\n\u003cli\u003eApanga PA, Kumbeni MT, Ayamga EA, Ulanja MB, Akparibo R. Prevalence and factors associated with modern contraceptive use among women of reproductive age in 20 African countries: a large population-based study. BMJ Open. 2020 Sep;10(9):e041103. \u003c/li\u003e\n\u003cli\u003eSesay FR, Anaba EA, Manu A, Maya E, Torpey K, Adanu RMK. Determinants of induced abortion among women of reproductive age: evidence from the 2013 and 2019 Sierra Leone Demographic and Health Survey. BMC Womens Health. 2023 Feb;23(1):44. \u003c/li\u003e\n\u003cli\u003eUnintended Pregnancy and Abortion Worldwide [Internet]. Guttmacher Institute. [cited 2024 Aug 3]. Available from: https://www.guttmacher.org/fact-sheet/induced-abortion-worldwide\u003c/li\u003e\n\u003cli\u003eEliason S, Baiden F, Yankey BA, Awusabo-Asare K. Determinants of unintended pregnancies in rural Ghana. BMC Pregnancy Childbirth. 2014 Aug;14:261. \u003c/li\u003e\n\u003cli\u003eAgida TE, Akaba GO, Ekele BA, Adebayo F. Unintended pregnancy among antenatal women in a tertiary hospital in North Central Nigeria. Niger Med J. 2016;57(6):334\u0026ndash;8. \u003c/li\u003e\n\u003cli\u003eBarrow A, Jobe A, Barrow S, Touray E, Ekholuenetale M. Prevalence and factors associated with unplanned pregnancy in The Gambia: findings from 2018 population-based survey. BMC Pregnancy Childbirth. 2022 Jan;22(1):17. \u003c/li\u003e\n\u003cli\u003eHaffejee F, O\u0026rsquo;Connor L, Govender N, Reddy P, Sibiya MN, Ghuman S, et al. Factors associated with unintended pregnancy among women attending a public health facility in KwaZulu-Natal, South Africa. South African Fam Pract [Internet]. 2018 Jun 22;60(3):79\u0026ndash;83. Available from: https://doi.org/10.1080/20786190.2017.1396790\u003c/li\u003e\n\u003cli\u003eOjuok R, Nyamongo DD, Mutai DJ. Determinants of unintended pregnancy among women attending antenatal clinic at Kenyatta National Hospital. F1000Research. 2022;11:585. \u003c/li\u003e\n\u003cli\u003eIkamari L, Izugbara C, Ochako R. Prevalence and determinants of unintended pregnancy among women in Nairobi, Kenya. BMC Pregnancy Childbirth. 2013 Mar;13:69. \u003c/li\u003e\n\u003cli\u003eYenealem F, Niberet G. Prevalence and associated factors of unintended pregnancy among pregnant woman in Gondar town, North west Ethiopia, 2014. BMC Res Notes. 2019 Mar;12(1):161. \u003c/li\u003e\n\u003cli\u003eAmeyaw EK. Prevalence and correlates of unintended pregnancy in Ghana: Analysis of 2014 Ghana Demographic and Health Survey. Matern Heal Neonatol Perinatol. 2018;4:17. \u003c/li\u003e\n\u003cli\u003eDarega B, Dida N. Unplanned pregnancy: Prevalence and Associated factors among Antenatal Care Attending Women in Bale Zone, Oromiya Region, Southeast Ethiopia: A facility - based cross sectional study. J Med Res [Internet]. 2015;15. Available from: https://api.semanticscholar.org/CorpusID:53971032\u003c/li\u003e\n\u003cli\u003eGebremariam Weldearegawi G, Tekola KB, Fseha Teklehaymanot B. Magnitude and Associated Factors of Unintended Pregnancy among Pregnant Women at Saesie Tsaeda Emba Woreda Eastern Zone of Tigray, North Ethiopia, 2018. J Pregnancy. 2019;2019:1694808. \u003c/li\u003e\n\u003cli\u003eExavery A, Kant\u0026eacute; AM, Njozi M, Tani K, Doctor H V, Hingora A, et al. Predictors of mistimed, and unwanted pregnancies among women of childbearing age in Rufiji, Kilombero, and Ulanga districts of Tanzania. Reprod Health. 2014 Aug;11:63. \u003c/li\u003e\n\u003cli\u003eLachance-Grzela M, Bouchard G. The well-being of cohabiting and married couples during pregnancy: Does pregnancy planning matter? J Soc Pers Relat [Internet]. 2009 Mar 1;26(2\u0026ndash;3):141\u0026ndash;59. Available from: https://doi.org/10.1177/0265407509106705\u003c/li\u003e\n\u003cli\u003eBouchard G. Adult Couples Facing a Planned or an Unplanned Pregnancy: Two Realities. J Fam Issues [Internet]. 2005 Jul 1;26(5):619\u0026ndash;37. Available from: https://doi.org/10.1177/0192513X04272756\u003c/li\u003e\n\u003cli\u003eRahman M. Women\u0026rsquo;s autonomy and unintended pregnancy among currently pregnant women in Bangladesh. Matern Child Health J. 2012 Aug;16(6):1206\u0026ndash;14. \u003c/li\u003e\n\u003cli\u003eMiller E, Decker MR, McCauley HL, Tancredi DJ, Levenson RR, Waldman J, et al. Pregnancy coercion, intimate partner violence and unintended pregnancy. Contraception. 2010 Apr;81(4):316\u0026ndash;22. \u003c/li\u003e\n\u003cli\u003eAzev\u0026ecirc;do AC da C, Ara\u0026uacute;jo TVB de, Valongueiro S, Ludermir AB. Intimate partner violence and unintended pregnancy: prevalence and associated factors. Cad Saude Publica. 2013 Dec;29(12):2394\u0026ndash;404. \u003c/li\u003e\n\u003cli\u003eDonovan BM, Spracklen CN, Schweizer ML, Ryckman KK, Saftlas AF. Intimate partner violence during pregnancy and the risk for adverse infant outcomes: a systematic review and meta-analysis. BJOG. 2016 Jul;123(8):1289\u0026ndash;99. \u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003eTables 1 to 4 are available in the Supplementary Files section\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Princess Christian Maternity Hospital, University of Sierra Leone Teaching Hospitals Complex, Freetown, Sierra Leone","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Unintended Pregnancy, Sierra Leone, Antenatal Care, Family Planning","lastPublishedDoi":"10.21203/rs.3.rs-5271547/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5271547/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eUnintended pregnancy remains a significant public health challenge in sub-Saharan Africa, with far-reaching consequences for maternal and child health. This study aimed to investigate the prevalence and associated factors of unintended pregnancy among antenatal women at a tertiary maternity hospital in Sierra Leone.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA cross-sectional study was conducted among 1,005 pregnant women attending their first antenatal visit at Princess Christian Maternity Hospital, Freetown, from March to June 2024. Participants were selected using systematic sampling. Data were collected through a semi-structured questionnaire and analyzed using descriptive statistics and multivariable logistic regression.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe prevalence of unintended pregnancy was 31.8% (95% CI: 29.0-34.7%), with 30.0% mistimed and 1.8% unwanted. Factors independently associated with unintended pregnancy included age below 20 years (aOR: 3.57, 95% CI: 2.30-5.55, p\u0026lt;0.001), non-married status (aOR: 3.73, 95% CI: 2.60-5.36, p\u0026lt;0.001), and unemployment or student status (aOR: 1.74, 95% CI: 1.25-2.42, p=0.001). Women who communicated with their partner about pregnancy (aOR: 0.10, 95% CI: 0.07-0.16, p\u0026lt;0.001) and whose pregnancy was desired by their partner (aOR: 0.05, 95% CI: 0.03-0.09, p\u0026lt;0.001) had significantly lower odds of unintended pregnancy.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe high prevalence of unintended pregnancy, particularly among younger, unmarried, and economically vulnerable women, underscores the urgent need for targeted interventions. Enhancing partner communication and male involvement in family planning could significantly reduce unintended pregnancies. These findings could inform the development of comprehensive reproductive health strategies in Sierra Leone and similar settings.\u003c/p\u003e","manuscriptTitle":"Unintended Pregnancy Among Antenatal Women at A Tertiary Maternity Hospital in Sierra Leone: Prevalence and Associated Factors","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-17 07:17:29","doi":"10.21203/rs.3.rs-5271547/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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