Reporting of equity in observational epidemiology: A methodological review.

Background: Observational studies can inform how we understand and address persisting health inequities through the collection, reporting and analysis of health equity factors. However, the extent to which the analysis and reporting of equity-relevant aspects in observational research are generally unknown. Thus, we aimed to systematically evaluate how equity-relevant observational studies reported equity considerations in the study design and analyses. Methods: We searched MEDLINE for health equity-relevant observational studies from January 2020 to March 2022, resulting in 16 828 articles. We randomly selected 320 studies, ensuring a balance in focus on populations experiencing inequities, country income settings, and coronavirus disease 2019 (COVID-19) topic. We extracted information on study design and analysis methods. Results: The bulk of the studies were conducted in North America (n = 95, 30%), followed by Europe and Central Asia (n = 55, 17%). Half of the studies (n = 171, 53%) addressed general health and well-being, while 49 (15%) focused on mental health conditions. Two-thirds of the studies (n = 220, 69%) were cross-sectional. Eight (3%) engaged with populations experiencing inequities, while 22 (29%) adapted recruitment methods to reach these populations. Further, 67 studies (21%) examined interaction effects primarily related to race or ethnicity (48%). Two-thirds of the studies (72%) adjusted for characteristics associated with inequities, and 18 studies (6%) used flow diagrams to depict how populations experiencing inequities progressed throughout the studies. Conclusions: Despite over 80% of the equity-focused observational studies providing a rationale for a focus on health equity, reporting of study design features relevant to health equity ranged from 0-95%, with over half of the items reported by less than one-quarter of studies. This methodological study is a baseline assessment to inform the development of an equity-focussed reporting guideline for observational studies as an extension of the well-known Strengthening Reporting of Observational Studies in Epidemiology (STROBE) guideline.

Motivations for investigating health inequities in observational epidemiology: a content analysis of 320 studies.

OBJECTIVES: To enhance equity in clinical and epidemiological research, it is crucial to understand researcher motivations for conducting equity-relevant studies. Therefore, we evaluated author motivations in a randomly selected sample of equity-relevant observational studies published during the COVID-19 pandemic. STUDY DESIGN AND SETTING: We searched MEDLINE for studies from 2020 to 2022, resulting in 16,828 references. We randomly selected 320 studies purposefully sampled across income setting (high vs low-middle-income), COVID-19 topic (vs non-COVID-19), and focus on populations experiencing inequities. Of those, 206 explicitly mentioned motivations which we analyzed thematically. We used discourse analysis to investigate the reasons behind emerging motivations. RESULTS: We identified the following motivations: (1) examining health disparities, (2) tackling social determinants to improve access, and (3) addressing knowledge gaps in health equity. Discourse analysis showed motivations stem from commitments to social justice and recognizing the importance of highlighting it in research. Other discourses included aspiring to improve health-care efficiency, wanting to understand cause-effect relationships, and seeking to contribute to an equitable evidence base. CONCLUSION: Understanding researchers' motivations for assessing health equity can aid in developing guidance that tailors to their needs. We will consider these motivations in developing and sharing equity guidance to better meet researchers' needs.

Equity issues rarely addressed in the development of COVID-19 formal recommendations and good practice statements: a cross-sectional study.

BACKGROUND AND OBJECTIVE: To identify COVID-19 actionable statements (e.g., recommendations) focused on specific disadvantaged populations in the living map of COVID-19 recommendations (eCOVIDRecMap) and describe how health equity was assessed in the development of the formal recommendations. METHODS: We employed the place of residence, race or ethnicity or culture, occupation, gender or sex, religion, education, socio-economic status, and social capital-Plus framework to identify statements focused on specific disadvantaged populations. We assessed health equity considerations in the evidence to decision frameworks (EtD) of formal recommendations for certainty of evidence and impact on health equity criteria according to the Grading of Recommendations, Assessment, Development, and Evaluations criteria. RESULTS: We identified 16% (124/758) formal recommendations and 24% (186/819) good practice statements (GPS) that were focused on specific disadvantaged populations. Formal recommendations (40%, 50/124) and GPS (25%, 47/186) most frequently focused on children. Seventy-six percent (94/124) of the recommendations were accompanied with EtDs. Over half (55%, 52/94) of those considered indirectness of the evidence for disadvantaged populations. Considerations in impact on health equity criterion most frequently involved implementation of the recommendation for disadvantaged populations (17%, 16/94). CONCLUSION: Equity issues were rarely explicitly considered in the development COVID-19 formal recommendations focused on specific disadvantaged populations. Guidance is needed to support the consideration of health equity in guideline development during health emergencies.