BACKGROUND: Restrictive gender norms exacerbate health inequalities all over the world. More specifically, they prevent women from seeking preventive health services, constrain womens economic empowerment, and are associated with reproductive health decision making. Gender norms, a subset of social norms, are dynamic and change over time. However, we lack data on how they are changing and how these changes affect health outcomes because current measures do not adequately capture the complex concept of gender norms. METHODS: We originally developed and validated a gender norms scale, the G-NORM, in India. In this study, using cross-sectional data, we adapted the G-NORM from Southeast Asia (India and Nepal) to sub-Saharan Africa (Uganda) in four steps: 1. Formulation of new scale items (via qualitative analysis) 2. Cognitive Interviewing 3. Questionnaire Administration (n = 2422 women of reproductive age) and 4. Psychometric analysis (Confirmatory Factor Analysis). RESULTS: Like the original scale, descriptive norms and injunctive norms comprised two unique sub scales with high Cronbachs alphas (.80 & .92). Average scores differed depending on the type of norm suggesting that some gender norms are changing faster than others. Specifically, more equitable injunctive norms were associated with lower odds of partner-dominated contraceptive decision making but descriptive norms were not. CONCLUSIONS: Gender norms serve as a multi-faceted determinant of health and wellbeing and require measurement tools which account for their conceptual complexity. Validating the G-NORM in Uganda expands measurement options for researchers in the sub-Saharan African region working to change norms to reduce health inequalities or to understand the gender normative context before beginning a study.

INTRODUCTION: We conducted an assessment in Malawi, Nepal, Niger, and Uganda to document access-related reasons for not using contraceptive methods during the COVID-19 pandemic that led to unintended pregnancies, describe use of modern contraception among women in potential need of contraception compared to before the pandemic, examine method choice, and describe barriers to contraceptive access and use. METHODS: Between December 2020 and May 2021, we conducted an opt-in phone survey with 21,692 women, followed by an outbound survey with 5,124 women who used modern nonpermanent contraceptive methods or who did not want to get pregnant within 2 years but were not using a modern contraceptive method. The surveys examined current behaviors and documented behaviors before the pandemic retrospectively. We used multivariable logistic regression models to examine factors associated with contraceptive use dynamics during COVID-19. RESULTS: Pregnant women surveyed reported that the pandemic had affected their ability to delay or avoid getting pregnant, ranging from 27% in Nepal to 44% in Uganda. The percentage of respondents to the outbound survey using modern contraception decreased during the pandemic in all countries except Niger. Fear of COVID-19 infection was associated with discontinuing modern contraception in Malawi and with not adopting a modern method among nonusers in Niger. Over 79% of surveyed users were using their preferred method. Among nonusers who tried obtaining a method, reasons for nonuse included unavailability of the preferred method or of providers and lack of money; nonusers who wanted a method but did not try to obtain one cited fear of COVID-19 infection. CONCLUSION: We found evidence of surveyed women attributing unintended pregnancies to the pandemic and examples of constraints to contraceptive access and use on the supply and demand side. The effects of the pandemic must be interpreted within the local contraceptive, health system, and epidemiological context.

Much of the methodological literature on rapid qualitative analysis describes processes used by a relatively small number of researchers focusing on one study site and using rapid analysis to replace a traditional analytical approach. In this paper, we describe the experiences of a transnational research consortium integrating both rapid and traditional qualitative analysis approaches to develop social theory while also informing program design. Research was conducted by the Innovations for Choice and Autonomy (ICAN) consortium, which seeks to understand how self-injection of the contraceptive subcutaneous depot medroxyprogesterone acetate (DMPA-SC) can be implemented in a way that best meets women's needs, as defined by women themselves. Consortium members are based in Kenya, Uganda, Malawi, Nigeria, and the United States. Data for the ICAN study was collected in all four countries in sub-Saharan Africa. In order to both illuminate social phenomena across study sites and inform the program design component of the study, researchers developed tools meant to gather both in-depth information about women's contraceptive decision-making and data targeted specifically to program design during the formative qualitative phase of the study. Using these two bodies of data, researchers then simultaneously conducted both a traditional qualitative and rapid analysis to meet multiple study objectives. To complete the traditional analysis, researchers coded interview transcripts and kept analytical memos, while also drawing on data collected by tools developed for the rapid analysis. Rapid analysis consisted of simultaneously collecting data and reviewing notes developed specifically for this analysis. We conclude that integrating traditional and rapid qualitative analysis enabled us to meet the needs of a complex transnational study with the added benefit of grounding our program design work in more robust primary data than normally is available for studies using a human-centered design approach to intervention development. However, the realities of conducting a multi-faceted study across multiple countries and contexts made truly "rapid" analysis challenging.