ContributorsKH and AR led conceptualisation and drafting of the paper. AD led the study on nurses in Uttar Pradesh, ND the study on accredited social health activists in Uttar Pradesh, HW and JR the study on community health workers and community health worker policy in Sierra Leone, LM, JK, and AR the study on gender parity in the global physician workforce, and KH, YA, and NS the study on selfhelp groups in India. FS and RF-M led development of the case on the nurse from eSwatini. VP, RH, and EBa did the systematic literature review on health systems models. JGS and AR led the systematic review on gender transformative clinical interventions. KH, LM, JK, FS, RF-M, AD, YA, JY, EBl, NB, JGS, and AR did the critical reviews of the literature on gender inequalities and gender norms affecting health and helped draft pieces of those reviews, with consideration of diverse geographic contexts. All authors offered critical inputs and reviews of this work, contributed intellectual and substantive revisions to the writing, and provided final approval of the submitted version.

Objectives This study assesses associations between mistreatment by a provider during childbirth and maternal complications in Uttar Pradesh, India. Methods Cross-sectional survey data were collected from women (N = 2639) who had delivered at 68 public health facilities in Uttar Pradesh, participating in a quality of care study. Participants were recruited from April to July 2015 and surveyed on demographics, mistreatment during childbirth (measure developed for this study, Cronbach's alpha = 0.70), and maternal health complications. Regression models assessed associations between mistreatment during childbirth and maternal complications, at delivery and postpartum, adjusting for demographics and pregnancy complications. Results Participants were aged 17-48 years, and 30.3% were scheduled caste/scheduled tribe. One in five (20.9%) reported mistreatment by their provider during childbirth, including discrimination and abuse; complications during delivery (e.g., obstructed labor) and postpartum (e.g., excessive bleeding) were reported by 45.8 and 41.5% of women, respectively. Health providers at delivery included staff nurses (81.8%), midwives (14.0%), and physicians (2.2%); Chi square analyses indicate that women were significantly more likely to report mistreatment when their provider was a nurse rather than a physician or midwife. Women reporting mistreatment by a provider during childbirth had higher odds of complications at delivery (AOR = 1.32; 95% CI 1.05-1.67) and postpartum (AOR = 2.12; 95% CI 1.67-2.68). Conclusions for Practice Mistreatment of women by their provider during childbirth is a pervasive health and human rights violation, and is associated with increased risk for maternal health complications in Uttar Pradesh. Efforts to improve quality of maternal care should include greater training and monitoring of providers to ensure respectful treatment of patients.

BackgroundThe study aims to assess the discordance between self-reported and observed measures of mistreatment of women during childbirth in public health facilities in Uttar Pradesh, India, as well as correlates of these measures and their discordance.MethodsCross sectional data were collected through direct observation of deliveries and follow-up interviews with women (n = 875) delivering in 81 public health facilities in Uttar Pradesh. Participants were surveyed on demographics, mistreatment during childbirth, and maternal and newborn complications. Provider characteristics (training, age) were obtained through interviews with providers, and observation data were obtained from checklists completed by trained nurse investigators to document quality of care at delivery. Mistreatment was assessed via self-report and observed measures which included 17 and 6 items respectively. Cohen’s kappas assessed concordance between the 6 items common in the self-report and observed measures. Regression models assessed associations between characteristics of women and providers for each outcome.ResultsMost participants (77.3%) self-reported mistreatment in at least 1 of the 17-item measure. For the 6 items included in both self-report and observations, 9.1% of women self-reported mistreatment, whereas observers reported 22.4% of women being mistreated. Cohen’s kappas indicated mostly fair to moderate concordance. Regression analyses found that multiparous birth (AOR = 1.50, 95% CI = 1.06–2.13), post-partum maternal complications (AOR = 2.0, 95% CI = 1.34–3.06); new-born complications (AOR = 2.6, 95% CI = 1. 96–4.03) and not having an Skilled Birth Attendant (SBA) trained provider (AOR = 1.47, 95% CI = 1.05–2.04) were associated with increased risk for mistreatment as measured by self-report. In contrast, only provider characteristics like older provider (AOR = 1.03, 95% CI = 1.02–1.05) and provider not trained in SBA (AOR = 1.44, 95% CI = 1.02–2.02) were associated with mistreatment as measured through observations. Younger age at marriage (AOR = 0.86, 95% CI = 0.78–0.95) and provider characteristics (older provider AOR = 1.05, 95% CI = 1.01–1.09; provider not trained in SBA AOR = 0.96, 95% CI = 0.92–0.99) were associated with discordance (based on mistreatment reported by observer but not by women).ConclusionProvider mistreatment during childbirth is prevalent in Uttar Pradesh and may be under-reported by women, particularly when they are younger or when providers are older or less trained. The findings warrant programmatic action as well as more research to better understand the context and drivers of both behavior and reporting.Trial registrationCTRI/2015/09/006219. Registered 28 September 2015.

BackgroundUttar Pradesh (UP) accounts for the largest number of neonatal deaths in India. This study explores potential socio-economic inequities in household-level contacts by community health workers (CHWs) and whether the effects of such household-level contacts on receipt of health services differ across populations in this state.MethodsA multistage sampling design identified live births in the last 12 months across the 25 highest-risk districts of UP (N = 4912). Regression models described the relations between household demographics (caste, religion, wealth, literacy) and CHW contact, and interactions of demographics and CHW contact in predicting health service utilization (> = 4 antenatal care (ANC) visits, facility delivery, modern contraceptive use).ResultsNo differences were found in likelihood of CHW contact based on caste, religion, wealth or literacy. Associations of CHW contact with receipt of ANC and facility delivery were significantly affected by religion, wealth and literacy. CHW contact increased the odds of 4 or more ANC visits only among non-Muslim women, increased the odds of both four or more ANC visits and facility delivery only among lower wealth women, increased the odds of facility delivery to a greater degree among illiterate vs. literate women.ConclusionCHW visits play a vital role in promoting utilization of critical maternal health services in UP. However, significant social inequities exist in associations of CHW visits with such service utilization. Research to clarify these inequities, as well as training for CHWs to address potential biases in the qualities or quantity of their visits based on household socio-economic characteristics is recommended.

BackgroundWe examine the association between the quality of family planning (FP) counseling received in past 24 months, and current modern contraceptive use, initiation, and continuation, among a sample of women in rural Uttar Pradesh, India.MethodsThis study included data from a longitudinal study with two rounds of representative household survey (2014 and 2016), with currently married women of age 15–49 years; the analysis excluded women who were already using a permanent method of contraceptive during the first round of survey and who reported discontinuation because they wanted to be pregnant (N = 1398). We measured quality of FP counseling using four items on whether women were informed of advantages and disadvantages of different methods, were told of method(s) that are appropriate for them, whether their questions were answered, and whether they perceived the counseling to be helpful. Positive responses to every item was categorized as higher quality counseling, vs lower quality counseling for positive response to less than four items. Outcome variables included modern contraceptive use during the second round of survey, and a variable categorizing women based on their contraceptive use behavior during the two rounds: continued-users, new-users, discontinued-users, and non-users.ResultsAround 22% had received any FP counseling; only 4% received higher-quality counseling. Those who received lower-quality FP counseling had 2.42x the odds of reporting current use of any modern contraceptive method (95% CI: 1.56–3.76), and those who received higher quality FP counseling at 4.14x the odds of reporting modern contraceptive use (95% CI: 1.72–9.99), as compared to women reporting no FP counseling. Women receiving higher-quality counseling also had higher likelihood of continued use (ARRR 5.93; 95% CI: 1.97–17.83), as well as new use or initiation (ARRR: 4.2; 95% CI: 1.44–12.35) of modern contraceptives. Receipt of lower-quality counseling also showed statistically significant associations with continued and new use of modern contraceptives, but the effect sizes were smaller than those for higher-quality counseling.ConclusionsFindings suggest the value of FP counseling. With a patient-centered approach to counseling, continued use of modern contraceptives can be supported among married women of reproductive age. Unfortunately, FP counseling, particularly higher-quality FP counseling remains rare.

ObjectiveTo explore intersections of social determinants of maternal healthcare utilization using the Classification and Regression Trees (CART) algorithm which is a machine-learning method used to construct prediction models.MethodsInstitutional review board approval for this study was granted from Public Health Service—Ethical Review Board (PHS-ERB) and from the Health Ministry Screening Committee (HMSC) facilitated by Indian Council for Medical Research (ICMR). IRB review and approval for the current analyses was obtained from University of California, San Diego. Cross-sectional data were collected from women with children aged 0–11 months (n = 5,565) from rural households in 25 districts of Uttar Pradesh, India. Participants were surveyed on maternal healthcare utilization including registration of pregnancy (model-1), receipt of antenatal care (ANC) during pregnancy (model-2), and delivery at health facilities (model -3). Social determinants of health including wealth, social group, literacy, religion, and early age at marriage were captured during the survey. The Classification and Regression Tree (CART) algorithm was used to explore intersections of social determinants of healthcare utilization.ResultsCART analyses highlight the intersections, particularly of wealth and literacy, in maternal healthcare utilization in Uttar Pradesh. Model-1 documents that women who are poorer, illiterate and Muslim are less likely to have their pregnancies registered (71.4% vs. 86.0% in the overall sample). Model-2 documents that poorer, illiterate women had the lowest ANC coverage (37.7% vs 45% in the overall sample). Model-3, developed for deliveries at health facilities, highlighted that illiterate and poor women have the lowest representation among facility deliveries (59.6% vs. 69% in the overall sample).ConclusionThis paper explores the interactions between determinants of maternal healthcare utilization indicators. The findings in this paper highlights that the interaction of wealth and literacy can play a very strong role in accentuating or diminishing healthcare utilization among women. The study also reveals that religion and women’s age at marriage also interact with wealth and literacy to create substantial disparities in utilization. The study provides insights into the effect of intersections of determinants, and highlights the importance of using a more nuanced understanding of the impact of co-occurring forms of marginalization to effectively tackle inequities in healthcare utilization.

Background: This paper explores the multilevel factors associated with maternal health utilization in India’s most populous state, Uttar Pradesh. 3 key utilization practices: registration of pregnancy, receipt of antenatal care, and delivery at home are examined for district and individual level predictors. The data is based on 5666 household surveys conducted as part of a baseline evaluation of the Uttar Pradesh Technical Support Unit (UPTSU.) program. Objectives: This intervention aims to assist the Government of Uttar Pradesh in increasing the efficiency, effectiveness, and equity of service delivery across a continuum of reproductive, maternal, new-born, child, and adolescent health (RMNCH+A) outcomes. Methods: The paper employs multilevel models that control for individuals being nested within districts in order to understand the predictors of maternal health care utilization. Results: The study identifies several individual-level predictors of health care utilization, including: literacy of the woman, the husband’s schooling, age at marriage, and socio-economic factors. Key predictors of pregnancy registration include husband’s schooling (OR 1.49, 95% CI 1.26–1.76), having a bank account (OR 1.36, 95% CI 1.11–1.68), and owning a house (OR 2.28, 95% CI 1.85–2.80). Factors affecting antenatal care include the woman’s literacy (OR 1.49, 95% CI 1.28–1.73), the respondent having had a job in the last year (OR 1.39, 95% CI 1.10–1.77), and owning a house (OR 2.83, 95% CI 2.27–3.53). Home delivery tends to be associated with woman’s literacy (OR 0.62, 95% CI 0.54–0.72) and marriage age of 15 and younger (OR 1.48, 95% CI 1.26–1.73). Conclusions: Interventions having equity considerations need to disrupt existing patterns of the health gradient. Successful implementation of such interventions, necessitate understanding the mechanisms that can disrupt the unequal utilization patterns and target domains of disadvantage. Knowledge of key predictors of utilization can aid in the implementation of such complex interventions.

Background Client-centric quality of care (QoC) in family planning (FP) services are imperative for contraceptive method adoption and continuation. Less is known about the choice of contraceptive method in India beyond responses to the three common questions regarding method information, asked in demographic and health surveys. This study argues for appropriate measurement of method choice and assesses its levels and correlates in rural India. Methods A cross-sectional study was conducted with new acceptors of family planning method ( N = 454) recruited from public and private health facilities in rural Bihar and Uttar Pradesh, the two most populous states in India. The key quality of care indicator ‘method choice’ was assessed using four key questions from client-provider interactions that help in making a choice about a particular method: (1) whether the provider asked the client about their preferred method, (2) whether the provider told the client about at least one additional method, (3) whether the client received information without any single method being promoted by the provider, and (4) client’s perception about receipt of method choice. The definition of method choice in this study included women who responded “yes” to all four questions in the survey. The relationship between contraceptive communication and receipt of method choice was assessed using logistic regression analyses, after adjusting for socio-demographic characteristics of the respondents. Results Although 62% of clients responded to a global question and reported that they received the method of their choice, only 28% received it based on responses about client-provider interactions. Receipt of the information on side-effects of the selected method (Adjusted Odds Ratio [AOR]: 7.4, 95% Confidence Interval [CI]: 3.96–13.86) and facility readiness to provide a range of contraceptive choice (AOR: 2.67, 95% CI: 1.48–4.83) were significantly associated with receipt of method choice. Conclusions Findings demonstrated that women’s choice of contraceptive could be improved in rural India if providers give full information prior to and during the acceptance of a method and if facilities are equipped to provide a range of choice of contraceptive methods.