Intro
Gender alongside other social and environmental factors is a well-established determinant of health. 1 2 It is one of the main elements of the WHO’s Core Social Determinants of Health framework. 3 Gender equality in health and well-being is an important component of the United Nations’ (UN) Sustainable Development Goals. 4 Several international organisations have set themselves the task of routinely measuring gender (in)equality in various countries, including the Organisation for Economic Cooperation and Development’s (OECD) Social Institutions and Gender Index, 5 the UN Development Programme’s Gender Inequality Index 6 and the Gender Equality Index for the European Union (EU). 7
Monitoring and reporting on gender equality in the form of continuously provided health data is of great importance for public health. This type of gender-sensitive data can then be transformed into health indicators—an essential foundation of health monitoring and reporting—that can help ensure gender mainstreaming and inform the development of strategies to promote gender equality where needed. 8 10 The use of gender-sensitive health indicators can support the integration of a gender perspective in health monitoring and reporting. 8 Explanations for gender differences in health and related factors could provide a more nuanced account of health outcomes and risks but are often lacking. 11 13
Conventional health indicators often use sex-stratified data to describe the health situation of women and men, potentially reproducing a binary and cis-normative understanding of sex/gender. 14 The focus on the gender binary and on cis-gendered individuals—people who identify with the sex they were assigned at birth—neglects the needs and health situation of non-cis-gendered, intersex and non-binary individuals. 13 The lack of appropriate data and analytical methods poses a challenge to the representation of diversity both between and within gender groups (eg, in terms of age group, ethnicity and socioeconomic status). 9
In Germany, Federal Health Reporting at the Robert Koch Institute is based on guidelines for the inclusion of a gender perspective in health reporting. 15 16 This is done through gender-disaggregated reporting of outcomes 17 and special reports on gender and health. 1 2 18 However, a set of gender-sensitive health indicators that would consolidate the integration of gender equality into health reporting has not yet been achieved.
Gender-sensitive health indicators aim to shed light on gender-based health inequities and gender inequality as social determinants of health. They are used to measure inequalities in health and health-related outcomes between women, men, gender-diverse individuals and subgroups among them. 9 Such indicators also relate outcomes and phenomena to underlying sociocultural norms and sociostructural systems of power (eg, gender norms, heteronormativity, racism and ableism). They are important for monitoring whether gender-based health inequalities persist over time. 19 Gender inequality is a global phenomenon; it is, therefore, important to identify gender-sensitive indicators for health reporting in order to promote gender equality in health.
Incorporating theoretical frameworks and approaches to explain gender-based inequalities in health can lead to a better understanding of health and health-related factors when developing health indicators. 8 Gender analysis is a theoretical approach that understands gender as a central category of analysis. It aims to identify and address gender inequalities against the background of various individual, social and structural circumstances that affect individuals differently in the gender roles assigned to them. 20 An intersectionality-informed gender analysis uses gender as the main analytic axis and highlights its intersection with other categories of social differentiation (eg, socioeconomic, sociocultural and sociodemographic variables). 21 22 Gender as a health determinant affects individuals differently depending on their social location, which is influenced by interlocking systems of privilege and disadvantage (eg, racism, ableism, (hetero) sexism, ageism and classism). 23 24 In order to enable a more adequate representation of the health situation of certain population groups as well as a better inclusion of societal power relations and structures as health determinants, it is helpful to include intersectionality-informed theoretical approaches. 9
Scoping reviews are comprehensive and useful tools for rapidly synthesising evidence from a wide range of data sources and research methodologies. 25 26 For this reason, we aim to conduct a scoping study on gender-sensitive and intersectionality-informed health indicators for health reporting. Within this scoping review, we also aim to identify theoretical frameworks that have been applied or referenced in the development and design of gender-sensitive health indicators. We have checked Prospero and Open Science Framework registries for registered systematic and scoping reviews to ensure our study is new. To our knowledge, this is the first scoping review of gender-sensitive and intersectionality-informed health indicators for health reporting.
Methods
This scoping review protocol is prepared according to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) 27 and has been registered at the Open Science Framework ( https://doi.org/10.17605/OSF.IO/SHR8M ). Potential protocol amendments will be documented in the main manuscript which will follow the PRISMA extension for Scoping Reviews (PRISMA-ScR). 28 This research is also based on the methodological framework for conducting scoping studies by Arksey and O’Malley 29 and its enhancement by Levac et al 30 and follows the proposed six stages: (1) identifying the research question, (2) identifying relevant studies, (3) study selection, (4) charting the data, (5) collating, reporting and summarising results and (6) consultation. The completion of the systematic search is scheduled for autumn 2024 and the completion of subsequent analyses for winter 2024. The evidence scoped by means of this review will be incorporated into the development of a gender-sensitive and intersectionality-informed set of health indicators for German Federal Health Reporting. Gender-sensitive and intersectionality-informed health indicators are essential for the promotion of gender equality in health, making them invaluable for health reporting and health information systems globally. Our study is limited to results from other EU-27 and OECD member states. Limiting this scoping review to the EU-27 and the OECD offers advantages in terms of relevance, data quality and manageability of the results, making them more applicable to German Federal Health Reporting. However, it also comes with limitations, especially with regard to the exclusion of a broader global perspective, potentially introducing a bias towards wealthier countries with more developed healthcare systems and disregarding global applicability. We will discuss this limitation in our main manuscript.
This scoping study is guided by the following research question, which was jointly developed and refined by the members of the research team (HG, FP and A-CS): What are approaches in health reporting related to health indicators that are considered gender-sensitive and intersectionality-informed and can potentially be adapted to Germany? We understand health indicators as quantitative or qualitative metrics that provide information on topics relevant to public health, including population health, health determinants or health system performance across geographies (eg, countries, regions and communities) or for specific population groups. They provide comparable and actionable information on trends and changes in population health within or between different settings. 31 Health indicators must meet psychometric requirements for validity and reliability; they must be able to measure changes over time, be easy to use, understandable and ethical. 16 31 To account for the degree of gender-sensitivity of health indicators, we use a three-category system introduced by the WHO and UNAIDS, 19 dividing the first category into (a) and (b) to allow for a more nuanced distinction: (1a) gender-specific indicators that refer to a single sex/gender or group of individuals who share certain biological characteristics (eg, the prevalence of prostate cancer or endometriosis) and (1b) gender-related indicators that relate to a sex/gender group (eg, the prevalence of cancers or NCDs for a sex/gender group); (2) gender-disaggregated indicators that measure differences between sex/gender groups in relation to specific metrics (eg, the prevalence of NCDs or cancer by sex/gender and age group, ethnicity or income level); (3) gender-inequality indicators that measure or proxy for gender inequality (eg, indicators that provide plausible links between health outcomes and sociostructural/normative realities such as the gender pay gap, the gender care gap or the prevalence of single parenthood). To determine the presence and extent of intersectionality-informed gender analysis and other frameworks, we will provide a narrative summary of (1) identified intersections between gender and other categories of social differentiation and (2) theoretical and explanatory approaches.
This scoping review consists of a systematic database search and a targeted search of websites relevant to national and international health reporting. The database search will be conducted in six electronic databases, including Medline (via Ovid), PsycINFO (via Ovid), Embase (via Ovid), Scopus, Cumulated Index to Nursing and Allied Health Literature (CINAHL via EBSCOhost) and Cochrane Library (Cochrane Reviews, Cochrane Protocols, Trials, Editorials, Special Collections and Clinical Answers via Wiley). These databases were selected after careful consideration of their relevance and scope to public health, medicine and the social sciences in addition to feedback from an information specialist. The database searches will be complemented by handsearching reference lists of articles considered relevant during different stages of data screening to identify further relevant references (backward citation search). If an author appears in at least three included full texts, their other publications will be handsearched and evaluated according to our eligibility criteria. The research question was used to operationalise the search strategy into search themes and corresponding English search terms ( table 1 ). Additional MeSH terms and keywords were retrieved using PubMed PubReMiner 32 for selected, thematically relevant articles. Each search term and combinations of search terms with Boolean and proximity operators were tested individually. These validity tests were documented in a Microsoft Excel spreadsheet (available on request). The search themes were combined with Boolean operators, resulting in the search strategy 1 AND (2 OR 3). The primary search strategy was developed for the Medline database (via Ovid) and peer-reviewed by an information specialist; it will be converted for each database.
In order to obtain a balanced and complete picture of the available evidence, we will conduct a targeted search for grey literature on national (EU-27 and OECD member states) and international websites (eg, WHO, OECD, EU bodies and organisations) relevant to health reporting and health information systems to identify further publications such as reports, working papers, book chapters and official documents. 33 In addition, we will conduct a Google Search using a combination of search terms on (1) country/setting (eg, “[country]”, “EU”, “European Union”, “OECD”), (2) gender-sensitivity (eg, “gender”, “women”, “men”, “transgender”, “intersex”, “non-binary”) and (3) health indicators (eg, “health indicator”, “health indicators”). These search terms will be translated into the official language of the respective country using DeepL Translate; the search results will be translated into German or English if a language is not covered by the research team. The search terms for the Google Search will be refined iteratively if necessary. We will also include websites (eg, electronic health information systems) as resources if they are relevant to our research question (ie, if they depict gender-sensitive health indicators as defined by us) and no reports can be found. Results retrieved from websites will be reported separately.
To be eligible for inclusion in the scoping study, articles must meet the eligibility criteria formulated on the basis of the PICOS model (Population, Intervention/Exposure, Comparison, Outcome, Setting) applied in this study ( table 2 ). Research articles, reports (including working papers and fact sheets), book chapters and theses will be included. To ensure the scoping review captures the most current developments in the field, we limit our search to research published between 2014 and 2024. This approach may, however, exclude earlier research that continues to be relevant. We will exclude preprints, letters, commentaries, editorials, protocols, conference papers, opinion pieces and the like, as these publication types generally lack the detailed empirical data or comprehensive analyses required for the study’s objectives. Although preprints can provide useful initial insights, their often short format and lack of finalised data may limit their utility for thorough analysis. There are no limitations in terms of language or study design.
EU-27European Union-27OECDOrganisation for Economic Cooperation and Development
Study selection will be managed using Rayyan software. 34 After removing duplicates, studies will be selected iteratively after the titles and abstracts have been screened (stage 1) and the full texts have been checked (stage 2). In both stages, records and full texts will be screened by two reviewers independently using predefined inclusion and exclusion criteria (HG will screen all records, FP and ACS will each screen half of all records). An initial screening of 20% of all records will enable the research team to discuss any uncertainties and refine the inclusion and exclusion criteria if necessary. Disagreements between reviewers at all stages of study selection will be discussed bilaterally and, if needed, with the involvement of a third reviewer until a consensus is reached. An adapted PRISMA flow diagram will be used to describe the review process ( online supplemental appendix A ).
Full texts that fulfil the inclusion criteria will be extracted for information on study characteristics (authors, publication year, setting, time period, study design/methods), health indicator operationalisation (type/definition, action fields, data source, periodicity, data availability, reference population, scientific background, connections to other indicators), degree of gender-sensitivity (per definition in eligibility criteria), degree of intersectionality-informed gender analysis (definition of intersectionality, intersection(s) to gender, discussion of indicators against the background of power dynamics, references to intersectionality), information on used/referenced theoretical approaches and reported limitations. Multiple publications from a single study will be summarised as one study to avoid overestimating the results. Microsoft Excel spreadsheets will serve as data extraction forms. A data extraction form will be pilot-tested independently by two reviewers who will extract data from a sample of included articles. After discussion and refinement of the data extraction form, one reviewer (HG) will extract data from a full text, and another reviewer will check the data extraction (FP and A-CS will each check one half). The extracted data and discrepancies between the two reviewers will be discussed with the research team.
The data from the included articles will be synthesised narratively as well as descriptively, and, where appropriate, presented in tables and graphs. Key findings will be analysed and discussed using a narrative method. Reported study limitations and limitations identified by the research team will also be discussed to compensate for the lack of a formal critical appraisal of the studies, as is common in scoping reviews. 28
For the purpose of this study protocol, we consulted with stakeholders recruited from our network of experts from the fields of public health research, health monitoring and reporting. We plan to involve these and other stakeholders in the process of selecting grey literature (ie, identifying relevant websites and documents) and discussing our findings. The results of the scoping review will ultimately inform the development of a gender-sensitive and intersectionality-informed set of health indicators for health reporting. This research is part of the Joint Action Prevent Non-Communicable Diseases (JA PreventNCD, https://www.preventncd.eu/ ). As part of the JA PreventNCD, this set of health indicators will be evaluated in a focus group discussion with experts from national and international health reporting. A refined set of indicators will be subjected to a Delphi voting process and subsequently included in the German Federal Health Reporting system.
Objectives
The aim of this scoping review is to map the evidence on gender-sensitive and intersectionality-informed indicators for health reporting in order to support the development of a set of indicators for German Federal Health Reporting. In detail, the objectives include the following:
To map the current evidence on gender-sensitive health indicators for health reporting.
To identify theoretical approaches for gender-sensitive health reporting.
To describe the extent to which gender-sensitive health indicators follow intersectionality-informed theoretical approaches.