A Qualitative Assessment of Social Norms Related to Seeking Help for Intimate Partner Violence in Honduras.

Intimate partner violence (IPV) is a major public health issue in Honduras and other low- and middle-income countries, with few victims seeking help. While structural factors, such as lack of services and economic barriers, are often cited as reasons for not seeking help, social and cultural factors may also play a role. This study aims to describe the normative social environment that may hinder women's help-seeking behaviors for IPV. Thematic analysis was conducted on data from four focus group discussions with 30 women at a busy health center in urban Tegucigalpa, Honduras. Data were coded inductively and themes were identified deductively using the theory of normative social behavior and its components (descriptive and injunctive social norms, expected outcomes, and groups of reference). Four themes emerged: social norms and expected outcomes that discourage IPV help-seeking; factors that determine the direction of a social norm, either discouraging or encouraging help-seeking; groups of reference for IPV victims; and society sets women up for failure. Social norms, expected outcomes, and groups of reference hinder women's help-seeking behavior after IPV. These findings have significant implications for designing effective interventions and policies to support women and their families affected by IPV.

'When she rises, we all rise': a crowdsourcing challenge to increase women's participation in an infectious diseases research fellowship.

BACKGROUND: Women are under-represented in many mid-career infectious diseases research fellowships, including a TDR fellowship for low- and middle-income country (LMIC) researchers. TDR solicited creative ideas as part of a challenge contest to increase the number of women fellowship applicants. The purpose of this study is to examine themes from submitted ideas and the impact of implementing the top three ideas on the number of women applicants. METHODS: We solicited ideas for modifying the TDR fellowship using a crowdsourcing challenge. Then we used a mixed methods approach to evaluate texts submitted in response to the challenge. The qualitative analysis identified themes from eligible submissions. The quantitative analysis examined the mean score (1-10 scale) assigned to submitted ideas and also the number of eligible women applicants before (2014-7) and after (2018) implementing the top three ideas. RESULTS: We received 311 ideas on improving women's participation in this fellowship from 63 countries. Among all ideas, 282 (91%) were from women and 286 (92%) were from low- and middle-income countries (LMICs). Thirty-three (17%) ideas received an overall mean score of 7.0 or greater. The top three ideas included enhanced social media communication targeting women, improving career mentorship, and creating a nomination system to nudge women applicants. These ideas were implemented as part of the 2018 fellowship application cycle. The number of eligible women applicants increased from 11 in 2016 to 48 in 2018. The number of eligible men applicants increased from 55 in 2016 to 114 in 2018. Women represent 44% (8/18) of the 2018 cohort. CONCLUSION: This suggests that the challenge contest resulted in strong participation from women in LMICs. The three top ideas likely contributed to a greater number of women applicants to this mid-career fellowship. Further ways of enhancing women's participation in global health training are needed.

Linking household survey and health facility data for effective coverage measures: a comparison of ecological and individual linking methods using the Multiple Indicator Cluster Survey in Côte d'Ivoire.

BACKGROUND: Population-based measures of intervention coverage are used in low- and middle-income countries for program planning, prioritization, and evaluation. There is increased interest in effective coverage, which integrates information about service quality or health outcomes. Approaches proposed for quality-adjusted effective coverage include linking data on need and service contact from population-based surveys with data on service quality from health facility surveys. However, there is limited evidence about the validity of different linking methods for effective coverage estimation. METHODS: We collaborated with the 2016 Côte d'Ivoire Multiple Indicator Cluster Survey (MICS) to link data from a health provider assessment to care-seeking data collected by the MICS in the Savanes region of Côte d'Ivoire. The provider assessment was conducted in a census of public and non-public health facilities and pharmacies in Savanes in May-June 2016. We also included community health workers managing sick children who served the clusters sampled for the MICS. The provider assessment collected information on structural and process quality for antenatal care, delivery and immediate newborn care, postnatal care, and sick child care. We linked the MICS and provider data using exact-match and ecological linking methods, including aggregate linking and geolinking methods. We compared the results obtained from exact-match and ecological methods. RESULTS: We linked 731 of 786 care-seeking episodes (93%) from the MICS to a structural quality score for the provider named by the respondent. Effective coverage estimates computed using exact-match methods were 13%-63% lower than the care-seeking estimates from the MICS. Absolute differences between exact match and ecological linking methods were ±7 percentage points for all ecological methods. Incorporating adjustments for provider category and weighting by service-specific utilization into the ecological methods generally resulted in better agreement between ecological and exact match estimates. CONCLUSIONS: Ecological linking may be a feasible and valid approach for estimating quality-adjusted effective coverage when a census of providers is used. Adjusting for provider type and caseload may improve agreement with exact match results. There remain methodological questions to be addressed to develop guidance on using linking methods for estimating quality-adjusted effective coverage, including the effect of facility sampling and time displacement.