Measures of women's empowerment based on individual-level data: a literature review with a focus on the methodological approaches.

Background: Quantifying women's empowerment has become the focus of attention of many international organizations and scholars. We aimed to describe quantitative indicators of women's empowerment that are based on individual-level data. Methods: In this scoping review, we searched PubMed, Scopus, Web of Science, Science Direct, Google, and Google Scholar for publications describing the operationalization of measures of women's empowerment. Results: We identified 36 studies published since 2004, half of them since 2019, and most from low- and middle-income countries. Twelve studies were based on data from the Demographic and Health Surveys and used 56 different variables from the questionnaires (ranging from one to 25 per study) to measure the overall empowerment of women 15-49 years. One study focused on rural women, two included married and unmarried women, and one analyzed the couple's responses. Factor analysis and principal component analysis were the most common approaches used. Among the 24 studies based on other surveys, ten analyzed overall empowerment, while the others addressed sexual and reproductive health (4 studies), agriculture (3) and livestock (1), water and sanitation (2), nutrition (2), agency (1), and psychological empowerment (1). These measures were mainly based on data from single countries and factor analysis was the most frequently analytical method used. We observed a diversity of indicator definitions and domains and a lack of consensus in terms of what the proposed indicators measure. Conclusion: The proposed women's empowerment indicators represent an advance in the field of gender and development monitoring. However, the empowerment definitions used vary widely in concept and in the domains/dimensions considered, which, in turn influence or are influenced by the adopted methodologies. It remains a challenge to find a balance between the need for a measure suitable for comparisons across populations and over time and the incorporation of country-specific elements.

Women's marital status and use of family planning services across male- and female-headed households in low- and middle-income countries.

Background: As more households are being led by women, who are often seen as disadvantaged, more attention is being given to the potential association of female household headship with health. We aimed to assess how demand for family planning satisfied by modern methods (mDFPS) is associated with residence in female or male headed households and how this intersects with marital status and sexual activity. Methods: We used data from national health surveys carried out in 59 low- and middle-income countries between 2010 and 2020. We included all women aged 15 to 49 years in our analysis, regardless of their relationship with the household head. We explored mDFPS according to household headship and its intersectionality with the women's marital status. We identified households as male-headed households (MHH) or female-headed households (FHH), and classified marital status as not married/in a union, married with the partner living in the household, and married with the partner living elsewhere. Other descriptive variables were time since the last sexual intercourse and reason for not using contraceptives. Results: We found statistically significant differences in mDFPS by household headship among reproductive age women in 32 of the 59 countries, with higher mDFPS among women living in MHH in 27 of these 32 countries. We also found large gaps in Bangladesh (FHH = 38%, MHH = 75%), Afghanistan (FHH = 14%, MHH = 40%) and Egypt (FHH = 56%, MHH = 80%). mDFPS was lower among married women with the partner living elsewhere, a common situation in FHH. The proportions of women with no sexual activity in the last six months and who did not use contraception due to infrequent sex were higher in FHH. Conclusions: Our findings indicate that a relationship exists between household headship, marital status, sexual activity, and mDFPS. The lower mDFPS we observed among women from FHH seems to be primarily associated with their lower risk of pregnancy; although women from FHH are married, their partners frequently do not live with them, and they are less sexually active than women in MHH.

Birth registration coverage according to the sex of the head of household: an analysis of national surveys from 93 low- and middle-income countries.

BACKGROUND: Within-country inequalities in birth registration coverage (BRC) have been documented according to wealth, place of residence and other household characteristics. We investigated whether sex of the head of household was associated with BRC. METHODS: Using data from nationally-representative surveys (Demographic and Health Survey or Multiple Indicator Cluster Survey) from 93 low and middle-income countries (LMICs) carried out in 2010 or later, we developed a typology including three main types of households: male-headed (MHH) and female-led with or without an adult male resident. Using Poisson regression, we compared BRC for children aged less than 12 months living the three types of households within each country, and then pooled results for all countries. Analyses were also adjusted for household wealth quintiles, maternal education and urban-rural residence. RESULTS: BRC ranged from 2.2% Ethiopia to 100% in Thailand (median 79%) while the proportion of MHH ranged from 52.1% in Ukraine to 98.3% in Afghanistan (median 72.9%). In most countries the proportion of poor families was highest in FHH (no male) and lowest in FHH (any male), with MHH occupying an intermediate position. Of the 93 countries, in the adjusted analyses, FHH (no male) had significantly higher BRC than MHH in 13 countries, while in eight countries the opposite trend was observed. The pooled analyses showed t BRC ratios of 1.01 (95% CI: 1.00; 1.01) for FHH (any male) relative to MHH, and also 1.01 (95% CI: 1.00; 1.01) for FHH (no male) relative to MHH. These analyses also showed a high degree of heterogeneity among countries. CONCLUSION: Sex of the head of household was not consistently associated with BRC in the pooled analyses but noteworthy differences in different directions were found in specific countries. Formal and informal benefits to FHH (no male), as well as women's ability to allocate household resources to their children in FHH, may explain why this vulnerable group has managed to offset a potential disadvantage to their children.

Paving the way to understanding female-headed households: Variation in household composition across 103 low- and middle-income countries.

Background: Female-headed households (FHHs) are regarded as disadvantaged. There are multiple social trajectories that can lead to women heading households. It is important to distinguish between these trajectories, as well as societal norms and contextual factors, to understand how and when are FHHs represented as a dimension of gender inequity. Our analysis defines and describes a typology of 16 FHH types (FHH16) based on demographic characteristics. Methods: This cross-sectional study used national Demographic Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) in 103 low- and middle-income countries (LMICs) to identify a typology of FHHs based on the family composition and additional household members. We performed descriptive analyses at the household level to generate median proportions of the FHH16 types and selected household characteristics. We conducted cluster analyses to explore FHH16 patterns across naturally grouped clusters of countries and described selected social and economic indicators at the ecological level. Results: The most common FHH16 types were those where the women household heads lived with children only, were alone, or lived with men, women, and children, but without a husband. In Africa and South Asia, the most common FHH was one where women heads resided with children only. In East Asia and the Pacific, the highest proportion of FHHs were those with men, women, and children. In MENA and Eastern Europe & Central Asia, households with women heads living alone were the most prevalent. Latin America had more FHHs with husbands, comparatively, and the most common FHHs were those with heads living alone or with children. Our exploratory cluster analysis generated five clusters with unique FHH16 patterns. The clusters had distinct geographic, contextual and economic characteristics. Conclusions: Our typology showed that FHHs are heterogeneous within and between countries. The ecological analysis emphasized further variation created by different societal and cultural factors. Research around their vulnerabilities and strengths needs to consider these factors and their influence on socioeconomic status and health-related outcomes within households headed by women.

Are children in female-headed households at a disadvantage? An analysis of immunization coverage and stunting prevalence: in 95 low- and middle-income countries.

Studies of inequalities in child health have given limited attention to household structure and headship. The few existing reports on child outcomes in male and female-headed households have produced inconsistent results. The aim of our analyses was to provide a global view of the influence of sex of the household head on child health in cross-sectional surveys from up to 95 LMICs. Studied outcomes were full immunization coverage in children aged 12-23 months and stunting prevalence in under-five children. We analyzed the most recent nationally-representative surveys for each country (since 2010) with available data. After initial exploratory analyses, we focused on three types of households: a) male-headed household (MHH) comprised 73.1% of all households in the pooled analyses; b) female Headed Household (FHH) with at least one adult male represented 9.8% of households; and c) FHH without an adult male accounted for 15.0% of households. Our analyses also included the following covariates: wealth index, education of the child's mother and urban/rural residence. Meta-analytic approaches were used to calculate pooled effects across the countries with MHH as the reference category. Regarding full immunization, the pooled prevalence ratio for FHH (any male) was 0.99 (0.97; 1.01) and that for FHH (no male) was 0.99 (0.97; 1.02). For stunting prevalence, the pooled prevalence ratio for FHH (any male) was 1.00 (0.98; 1.02) and for FHH (no male) was 1.00 (0.98; 1.02). Adjustment for covariates did not lead to any noteworthy change in the results. No particular patterns were found among different world regions. A few countries presented significant inequalities with different directions of association, indicating the diversity of FHH and how complex the meaning and measurement of household headship may be. Further research is warranted to understand context, examine mediating factors, and exploring alternative definitions of household headship in countries with some association.

Inequalities in antenatal care coverage and quality: an analysis from 63 low and middle-income countries using the ANCq content-qualified coverage indicator.

BACKGROUND: Antenatal care (ANC) is an essential intervention associated with a reduction of maternal and new-born morbidity and mortality. However, evidence suggested substantial inequalities in maternal and child health, mainly in low- and middle-income countries (LMICs). We aimed to conduct a global analysis of socioeconomic inequalities in ANC using national surveys from LMICs. METHODS: ANC was measured using the ANCq, a novel content-qualified ANC coverage indicator, created and validated using national surveys, based upon contact with the health services and content of care received. We performed stratified analysis to explore the socioeconomic inequalities in ANCq. We also estimated the slope index of inequality, which measures the difference in coverage along the wealth spectrum. RESULTS: We analyzed 63 national surveys carried out from 2010 to 2017. There were large inequalities between and within countries. Higher ANCq scores were observed among women living in urban areas, with secondary or more level of education, belonging to wealthier families and with higher empowerment in nearly all countries. Countries with higher ANCq mean presented lower inequalities; while countries with average ANCq scores presented wide range of inequality, with some managing to achieve very low inequality. CONCLUSIONS: Despite all efforts in ANC programs, important inequalities in coverage and quality of ANC services persist. If maternal and child mortality Sustainable Development Goals are to be achieved, those gaps we documented must be bridged.

A new content-qualified antenatal care coverage indicator: Development and validation of a score using national health surveys in low- and middle-income countries.

BACKGROUND: Good quality antenatal care (ANC) helps reduce adverse maternal and newborn outcomes, especially in low and middle-income countries (LMICs). Most of the currently used ANC indicators only measure contact with services. We aimed to create and validate a new indicator measured as a score, considering both contact and content, that can be used for monitoring. METHODS: We used data from national surveys conducted in LMICs. Information on ANC was used to build an adequacy score (ANCq) that would be applicable to all women in need of ANC. Cronbach's alpha and factor analysis were used to assess the proposed indicator. We also used a convergent validation approach, exploring the association of our proposed indicator with neonatal mortality. RESULTS: The ANCq score was derived from seven variables related to contact with services and content of care ranging from zero to ten. Surveys from 63 countries with all variables were used. The validity assessment showed satisfactory results based on Cronbach's alpha (0.82) and factor analysis. The overall mean of ANCq was 6.7, ranging from 3.5 in Afghanistan to 9.3 in Cuba and the Dominican Republic. In most countries, the ANCq was inversely associated with neonatal mortality and the pooled for all surveys Odds Ratio was 0.90 (95% CI = 0.88-0.92). CONCLUSIONS: ANCq allows the assessment of ANC in LMICs considering contact with services and content of care. It also presented good validity properties, being a useful tool for assessing ANC coverage and adequacy of care in monitoring and accountability exercises.

Responding to health needs of women, children and adolescents within Syria during conflict: intervention coverage, challenges and adaptations.

BACKGROUND: Women and children suffer disproportionately in armed-conflicts. Since 2011, the protracted Syrian crisis has fragmented the pre-existing healthcare system. Despite the massive health needs of women and children, the delivery of key reproductive, maternal, newborn, child and adolescent health and nutrition (RMNCAH&N) interventions, and its underlying factors are not well-understood in Syria. Our objective was to document intervention coverage indicators and their implementation challenges inside Syria during conflict. METHODS: We conducted 1) a desk review to extract RMNCAH&N intervention coverage indicators inside Syria during the conflict; and 2) qualitative interviews with decision makers and health program implementers to explore reasons behind provision/non-provision of RMNCAH&N interventions, and the rationale informing decisions, priorities, collaborations and implementation. We attempt to validate findings by triangulating data from both sources. RESULTS: Key findings showed that humanitarian organisations operating in Syria adopted a complex multi-hub structure, and some resorted to remote management to improve accessibility to certain geographic areas. The emergency response prioritised trauma care and infectious disease control. Yet, with time, humanitarian organisations successfully advocated for prioritising maternal and child health and nutrition interventions given evident needs. The volatile security context had implications on populations' healthcare seeking behaviors, such as women reportedly preferring home births, or requesting Caesarean-sections to reduce insecurity risks. Additional findings were glaring data gaps and geographic variations in the availability of data on RMNCAH&N indicators. Adaptations of the humanitarian response included task-shifting to overcome shortage in skilled healthcare workers following their exodus, outreach activities to enhance access to RMNCAH&N services, and operating in 'underground' facilities to avoid risk of attacks. CONCLUSION: The case of Syria provides a unique perspective on creative ways of managing the humanitarian response and delivering RMNCAH&N interventions, mainly in the multi-hub structure and use of remote management, despite encountered challenges. The scarcity of RMNCAH&N data is a tremendous challenge for both researchers and implementing agencies, as it limits accountability and monitoring, thus hindering the evaluation of delivered interventions.