Maternal and Child Health Services Utilization During COVID-19 in Eastern Ethiopia.

Objectives: This study aimed to describe the impact of COVID-19 on maternal and child health service utilization in the Eastern part of Ethiopia. Methods: Comparative analysis was used to examine 2 years of maternal and child health service utilization. Data were extracted from client registers. A traditional Expert Modeler and one-way Analysis of Variance were used to compare service utilization before and during the COVID-19 pandemic. Results: A total of 34,576 client records were reviewed, of which 17,100 (49.5%) and 17,476 (50.5%) had visited the MCH service before and during the COVID-19 pandemic, respectively. The total client visit has shown a 2% percentage point increase. However, postnatal care and child immunization services showed a decrease. Moreover, there was a significant difference between service visits before and during COVID-19 (f = 4.6, p < 0.04). Conclusion: Mothers and children have missed or unattended facility appointments due to protective impositions or fear of getting infected with COVID-19, which might suggest a higher proportion of MCH issues were not addressed during the pandemic. The health system should therefore improve its resilience and strengthen its access at the lowest health care inlets.

Spatial distribution patterns of human resources allocation in maternal and child healthcare institutions in China from 2016 to 2021.

BACKGROUND: In China, economic, urbanization, and policy differences between the eastern and western regions lead to uneven healthcare resources. This disparity is more pronounced in the west due to fewer healthcare personnel per thousand individuals and imbalanced doctor-to-nurse ratios, which exacerbates healthcare challenges. This study examines the spatial distribution of human resources in maternal and child healthcare from 2016 to 2021, highlighting regional disparities and offering insights for future policy development. METHODS: The data were sourced from the "China Health and Family Planning Statistical Yearbook" (2017) and the "China Health and Health Statistics Yearbook" (2018-2022). This study utilized GeoDa 1.8.6 software to conduct both global and local spatial autocorrelation analyses, using China's administrative map as the base dataset. RESULTS: From 2016 to 2021, there was an upward trend in the number of health personnel and various types of health technical personnel in Chinese maternal and child healthcare institutions. The spatial distribution of these personnel from 2016 to 2021 revealed clusters characterized as high-high, low-low, high-low and low-high. Specifically, high-high clusters were identified in Guangxi, Hunan, Jiangxi, and Guangdong provinces; low-low in Xinjiang Uygur Autonomous Region and Inner Mongolia Autonomous Region; high-low in Sichuan province; and low-high in Fujian and Anhui provinces. CONCLUSIONS: From 2016 to 2021, there was evident spatial clustering of health personnel and various health technical personnel in Chinese maternal and child healthcare institutions, indicating regional imbalances.

Completion of maternal and child health continuum of care and associated factors among women in Gode district, Shebele Zone, Eastern Ethiopia, 2022.

BACKGROUND: The Continuum of care for reproductive, maternal, newborn, and child health includes integrated service delivery for mothers and children from pre-pregnancy to delivery, the immediate postnatal period, and childhood. In Ethiopia, the magnitude of antenatal care, skilled delivery, postnatal care, and immunization for children have shown improvement. Despite this, there was limited research on the percentage of mothers who have completed maternal and child continuum care. OBJECTIVE: To assess the Completion of Maternal and Child Health Continuum of Care and Associated Factors among women in Gode District, Shebele Zone, Eastern Ethiopia ,2022. METHOD: A community-based cross-sectional study design applied from November 1-15, 2022. A stratified sampling method was applied. A woman who had two 14-24 months child preceding the data collection period were included in the study. An interviewer-administered semi-structured questioner had been used for data collection. Data collected by using kobo collect and analyzed using STATA version 17. Both Bivariable and multivariable logistic regression analyses were done. In multivariable analysis, variables having P-values ≤ 0.05 were taken as factors associated with the completion of the maternal and child health continuum of care. RESULT: The Completion of maternal and child continuum of care was 13.5% (10.7-17.0%) in Gode district,2022. Accordingly, Husband occupation (Government employee) [AOR = 2.3, 95%CI 1.2-4.7] and perceived time to reach health facility (less than 30 min) [AOR = 2.96, 95%CI 1.2-7.5] were factors showing significant association with maternal and child health continuum of care among mothers in Gode district, Somali regional State;2022 at P-value ≤ 0.05. CONCLUSION AND RECOMMENDATION: Only 13.5% of mothers in Gode district received all of the recommended maternal and child health services during their pregnancy, childbirth, and postpartum period. The study found that two factors were associated with a higher likelihood of receiving Maternal and child continuum of care: Government employed husband and perceived time to reach a health facility. Governments can play a key role in increasing the maternal and child health continuum of care by investing by making health care facility accessible.

Wealth and education-related inequalities in the utilisation of reproductive, maternal, newborn, and child health interventions within scheduled tribes in India: an analysis of Odisha and Jharkhand.

BACKGROUND: The utilisation of Reproductive, Maternal, Newborn and Child Health (RMNCH) services remains lower among the Scheduled Tribes (ST) in India than among the rest of the country's population. The tribal population's poorest and least-educated households are further denied access to RMNCH care due to the intersection of their social status, wealth, and education levels. The study analyses the wealth- and education-related inequalities in the utilisation of RMNCH services within the ST population in Odisha and Jharkhand. METHODOLOGY: We have constructed two summary measures, namely, the Co-coverage indicator and a modified Composite Coverage Index (CC), to determine wealth- and education-related inequalities in the utilisation of RMNCH indicators within the ST population in Odisha and Jharkhand. The absolute and relative inequalities with respect to wealth and education within the ST population are estimated by employing the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII). RESULTS: The results of the study highlight that access to RMNCH services is easier for women who are better educated and belong to wealthier households. The SII and RII values in the co-coverage indicator and modified CCI exhibit an increase in wealth-related inequalities in Odisha between NFHS-4 (2015-16) and NFHS-5 (2019-21) whereas in Jharkhand, the wealth- and education-related absolute and relative inequalities present a reduction between 2016 and 2021. Among the indicators, utilisation of vaccination was high, while the uptake of Antenatal Care Centre Visits and Vitamin A supplementation should be improved. INTERPRETATION: The study results underscore the urgent need of targeted policies and interventions to address the inequalities in accessing RMNCH services among ST communities. A multi-dimensional approach that considers the socioeconomic, cultural and geographical factors affecting healthcare should be adopted while formulating health policies to reduce inequalities in access to healthcare.

High-resolution mapping of essential maternal and child health service coverage in Nigeria: a machine learning approach.

BACKGROUND: National-level coverage estimates of maternal and child health (MCH) services mask district-level and community-level geographical inequities. The purpose of this study is to estimate grid-level coverage of essential MCH services in Nigeria using machine learning techniques. METHODS: Essential MCH services in this study included antenatal care, facility-based delivery, childhood vaccinations and treatments of childhood illnesses. We estimated generalised additive models (GAMs) and gradient boosting regressions (GB) for each essential MCH service using data from five national representative cross-sectional surveys in Nigeria from 2003 to 2018 and geospatial socioeconomic, environmental and physical characteristics. Using the best-performed model for each service, we map predicted coverage at 1 km2 and 5 km2 spatial resolutions in urban and rural areas, respectively. RESULTS: GAMs consistently outperformed GB models across a range of essential MCH services, demonstrating low systematic prediction errors. High-resolution maps revealed stark geographic disparities in MCH service coverage, especially between rural and urban areas and among different states and service types. Temporal trends indicated an overall increase in MCH service coverage from 2003 to 2018, although with variations by service type and location. Priority areas with lower coverage of both maternal and vaccination services were identified, mostly located in the northern parts of Nigeria. CONCLUSION: High-resolution spatial estimates can guide geographic prioritisation and help develop better strategies for implementation plans, allowing limited resources to be targeted to areas with lower coverage of essential MCH services.

Measuring Technical Efficiency and Productivity of Secondary Maternal and Child Health Hospitals in Hubei, China: Some Evidences from Hubei Province of China 2019 to 2021.

Environmental factors like COVID-19 can have significant impact on technical efficiency (TE) and total factor productivity (TFP) of health services provided. In this study, focusing on Maternal and Child Health (MCH) hospitals in Hubei Province of China in 2019 to 2021, we aimed to measure their TE and TFP, identify some influential environmental factors, and propose some policy recommendations. Altogether 62 secondary MCH hospitals were selected as the study sample. Four input indicators, 3 output indicators, and 4 environmental indicators were selected to analyze the panel data from 2019 to 2021. Three-stage Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) model were employed to estimate the TE and TFP of these hospitals. During 2019 to 2021, the inputs of the sample hospitals had increased, while the outputs had decreased. The inputs redundancy was negatively associated with birth rate, number of residents, and GDP per capita (P < .05). It was positively associated with number of COVID-19 infections (P < .05). The adjusted TE scores in 2019 to 2021 were 0.822, 0.784, and 0.803, respectively. The TFP declined in 2020 and 2021 compared to 2019, with scores being 0.845 and 0.762. The technical efficiency change (TEC) scores from 2019 to 2021 were 0.926 and 1.063. The technological change (TC) scores from 2019 to 2021 were 0.912 and 0.716. During 2019 to 2021, the operation of sample hospitals had been significantly influenced by environmental factors like COVID-19 pandemic, low birth rate, number of residents, and GDP per capita. The inputs had increased but outputs had decreased, leading to an increase in inputs redundancy and a decline in TE. The TFP showed a downward trend, with TC and SEC being the priority directions for improvement. Some recommendations are made for both hospitals and government to continuously improve the TE and TFP.

Impact of the COVID-19 pandemic on access to and delivery of maternal and child healthcare services in low-and middle-income countries: a systematic review of the literature.

Background: The COVID-19 pandemic has had a multifaceted impact on maternal and child services and adversely influenced pregnancy outcomes. This systematic review aims to determine the impact of the COVID-19 pandemic on access to and delivery of maternal and child healthcare services in low- and middle-income countries. Methods: The review was reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A primary search of electronic databases was performed using a combination of search terms related to the following areas of interest: "impact' AND 'COVID-19' AND 'maternal and child health services' AND 'low- and middle-income countries. A narrative synthesis approach was used to analyse and integrate the results. Results: Overall, 45 unique studies conducted across 28 low- and middle-income countries met the inclusion criteria for the review. The findings suggest the number of family planning visits, antenatal and postnatal care visits, consultations for sick children, paediatric emergency visits and child immunisation levels decreased compared to the pre-pandemic levels in the majority of included studies. An analytical framework including four main categories was developed based on the concepts that emerged from included studies: the anxiety of not knowing (1), overwhelmed healthcare systems (2), challenges perceived by healthcare professionals (3) and difficulties perceived by service users (4). Conclusion: The COVID-19 pandemic disrupted family planning services, antenatal and postnatal care coverage, and emergency and routine child services. Generalised conclusions are tentative due to the heterogeneity and inconsistent quality of the included studies. Future research is recommended to define the pandemic's impact on women and children worldwide and prepare healthcare systems for future resurgences of COVID-19 and potential challenges beyond. Systematic review registration: PROSPERO (CRD42021285178).

Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models.

BACKGROUND: For optimal health, the maternal, newborn, and child healthcare (MNCH) continuum necessitates that the mother/child receive the full package of antenatal, intrapartum, and postnatal care. In sub-Saharan Africa, dropping out from the MNCH continuum remains a challenge. Using machine learning, the study sought to forecast the MNCH continuum drop out and determine important predictors in three East African Community (EAC) countries. METHODS: The study utilised Demographic Health Surveys data from the Democratic Republic of Congo (DRC) (2013/14), Kenya (2014) and Tanzania (2015/16). STATA 17 was used to perform the multivariate logistic regression. Python 3.0 was used to build five machine learning classification models namely the Logistic Regression, Random Forest, Decision Tree, Support Vector Machine and Artificial Neural Network. Performance of the models was assessed using Accuracy, Precision, Recall, Specificity, F1 score and area under the Receiver Operating Characteristics (AUROC). RESULTS: The prevalence of the drop out from the MNCH continuum was 91.0% in the DRC, 72.4% in Kenya and 93.6% in Tanzania. Living in the rural areas significantly increased the odds of dropping out from the MNCH continuum in the DRC (AOR:1.76;95%CI:1.30-2.38), Kenya (AOR:1.23;95%CI:1.03-1.47) and Tanzania (AOR:1.41;95%CI:1.01-1.97). Lower maternal education also conferred a significant increase in the DRC (AOR:2.16;95%CI:1.67-2.79), Kenya (AOR:1.56;95%CI:1.30-1.84) and Tanzania (AOR:1.70;95%CI:1.24-2.34). Non exposure to mass media also conferred a significant positive influence in the DRC (AOR:1.49;95%CI:1.15-1.95), Kenya (AOR:1.46;95%CI:1.19-1.80) and Tanzania (AOR:1.65;95%CI:1.13-2.40). The Random Forest exhibited superior predictive accuracy (Accuracy = 75.7%, Precision = 79.1%, Recall = 92.1%, Specificity = 51.6%, F1 score = 85.1%, AUROC = 70%). The top four predictors with the greatest influence were household wealth, place of residence, maternal education and exposure to mass media. CONCLUSIONS: The MNCH continuum dropout rate is very high in the EAC countries. Maternal education, place of residence, and mass media exposure were common contributing factors to the drop out from MNCH continuum. The Random Forest had the highest predictive accuracy. Household wealth, place of residence, maternal education and exposure to mass media were ranked among the top four features with significant influence. The findings of this study can be used to support evidence-based decisions in MNCH interventions and to develop web-based services to improve continuity of care retention.

Progress and barriers towards maternal and neonatal tetanus elimination in the remaining 12 countries: a systematic review.

This systematic review assessed the progress and barriers towards maternal and neonatal tetanus elimination in the 12 countries that are yet to achieve elimination, globally. Coverage of at least 80% (the coverage level required for elimination) was assessed among women of reproductive age for five factors: (1) at least two doses of tetanus toxoid-containing vaccine, (2) protection at birth, (3) skilled birth attendance, (4) antenatal care visits, and (5) health facility delivery. A scoping review of the literature and data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys provided insights into the barriers to attaining maternal and neonatal tetanus elimination. Findings showed that none of the 12 countries attained at least 80% coverage for women of reproductive age receiving at least two doses of tetanus toxoid-containing vaccine or protection at birth according to the data from Demographic and Health Surveys or Multiple Indicator Cluster Surveys. Barriers to maternal and neonatal tetanus elimination were mostly related to health systems and socioeconomic factors. Modification to existing maternal and neonatal tetanus elimination strategies, including innovations, will be required to accelerate maternal and neonatal tetanus elimination in these countries.

Delivery channels and socioeconomic inequalities in coverage of reproductive, maternal, newborn, and child health interventions: analysis of 36 cross-sectional surveys in low-income and middle-income countries.

BACKGROUND: Global reports have described inequalities in coverage of reproductive, maternal, newborn, and child health (RMNCH) interventions, but little is known about how socioeconomic inequality in intervention coverage varies across multiple low-income and middle-income countries (LMICs). We aimed to assess the association between wealth-related inequalities in coverage of RMNCH interventions. METHODS: In this cross-sectional study, we identified publicly available Demographic Health Surveys and Multiple Indicator Cluster Surveys from LMICs containing information on household characteristics, reproductive health, women's and children's health, nutrition, and mortality. We identified the most recent survey from the period 2010-19 for 36 countries that contained data for our preselected set of 18 RMNCH interventions. 21 countries also had information on two common malaria interventions. We classified interventions into four groups according to their predominant delivery channels: health facility based, community based, environmental, and culturally driven (including breastfeeding practices). Within each country, we derived wealth quintiles from information on household asset indices. We studied two summary measures of within-country wealth-related inequality: absolute inequalities (akin to coverage differences among children from wealthy and poor households) using the slope index of inequality (SII), and relative inequalities (akin to the ratio of coverage levels for wealthy and poor children) using the concentration index (CIX). Pro-poor inequalities are present when intervention coverage decreased with increasing household wealth, and pro-rich inequalities are present when intervention coverage increased as household wealth increased. FINDINGS: Across the 36 LMICs included in our analyses, coverage of most interventions had pro-rich patterns in most countries, except for two breastfeeding indicators that mostly had higher coverage among poor women, children and households than wealthy women, children, and households. Environmental interventions were the most unequal, particularly use of clean fuels, which had median levels of SII of 48·8 (8·6-85·7) and CIX of 67·0 (45·0-85·8). Interventions primarily delivered in health facilities-namely institutional childbirth (median SII 46·7 [23·1-63·3] and CIX 11·4 [4·5-23·4]) and antenatal care (median SII 26·7 [17·0-47·2] and CIX 10·0 [4·2-17·1])-also usually had pro-rich patterns. By comparison, primarily community-based interventions, including those against malaria, were more equitably distributed-eg, oral rehydration therapy (median SII 9·4 [2·9-19·0] and CIX 3·4 [1·3-25·0]) and polio immunisation (SII 12·1 [2·3-25·0] and CIX 3·1 [0·5-7·1]). Differences across the four types of delivery channels in terms of both inequality indices were significant (SII p=0·0052; CIX p=0·0048). INTERPRETATION: Interventions that are often delivered at community level are usually more equitably distributed than those primarily delivered in fixed facilities or those that require changes in the home environment. Policy makers need to learn from community delivery channels to promote more equitable access to all RMNCH interventions. FUNDING: Bill & Melinda Gates Foundation and Wellcome Trust. TRANSLATIONS: For the French, Portuguese and Spanish translations of the abstract see Supplementary Materials section.

National and subnational coverage and inequalities in reproductive, maternal, newborn, child, and sanitary health interventions in Ecuador: a comparative study between 1994 and 2012.

BACKGROUND: Latin America (LA) has experienced constant economic and political crises that coincide with periods of greater inequality. Between 1996 and 2007 Ecuador went through one of the greatest political and socio-economic crises in Latin America, a product of neo-liberal economic growth strategies. Between 2007 and 2012 it regained political stability, promoted redistributive policies, and initiated greater social spending. To understand the possible influence on the political and economic context, we analyzed the coverage and inequalities in five Reproductive, Maternal, and Child Health (RMNCH) and two water and sanitation interventions using survey data from a broad time window (1994-2012), at a national and subnational level. METHODS: The series cross-sectional study used data from four representative national health surveys (1994, 1999, 2004 and 2012). Coverage of RMNCH and sanitary interventions were stratified by wealth quintiles (as a measure of the socio-economic level), urban-rural residence and the coverage for each province was mapped. Mean difference, Theil index and Variance-weighted least squares regression were calculated to indicate subnational and temporal changes. RESULTS: From 1994 to 2004, Ecuador evidenced large inequalities whose reduction becomes more evident in 2012. Coverage in RMNCH health service-related interventions showed a rather unequal distribution among the socioeconomic status and across provinces in 1994 and 2004, compared to 2012. Sanitary interventions on the contrary, showed the most unequal interventions, and failed to improve or even worsened in several provinces. While there is a temporary improvement also at the subnational level, in 2012 several provinces maintain low levels of coverage. CONCLUSIONS: The remarkable reduction of inequalities in coverage of RMNCH interventions in 2012 clearly coincides with periods of regained political stability, promoted redistributive policies, and greater social spending, different from the former neo-liberal reforms which is consistent with observations made in other Latin American countries. Territorial heterogeneity and great inequalities specially related with sanitation interventions persists. It is necessary to obtain high quality information with sharper geographic desegregation that allows to identify and understand local changes over time. This would help to prioritize intervention strategies, introduce multisectoral policies and investments that support local governments.

Trends in and determinants of visiting private health facilities for maternal and child health care in Nepal: comparison of three Nepal demographic health surveys, 2006, 2011, and 2016.

BACKGROUND: Maternal and child health care services are available in both public and private facilities in Nepal. Studies have not yet looked at trends in maternal and child health service use over time in Nepal. This paper assesses trends in and determinants of visiting private health facilities for maternal and child health needs using nationally representative data from the last three successive Nepal Demographic Health Surveys (NDHS). METHODS: Data from the NDHS conducted in 2006, 2011, and 2016 were used. Maternal and child health-seeking was established using data on place of antenatal care (ANC), place of delivery, and place of treatment for child diarrhoea and fever/cough. Logistic regression models were fitted to identify trends in and determinants of health-seeking at private facilities. RESULTS: The results indicate an increase in the use of private facilities for maternal and child health care over time. Across the three survey waves, women from the highest wealth quintile had the highest odds of accessing ANC services at private health facilities (AOR = 3.0, 95% CI = 1.53, 5.91 in 2006; AOR = 5.6, 95% CI = 3.51, 8.81 in 2011; AOR = 6.0, 95% CI = 3.78, 9.52 in 2016). Women from the highest wealth quintile (AOR = 3.3, 95% CI = 1.54, 7.09 in 2006; AOR = 7.3, 95% CI = 3.91, 13.54 in 2011; AOR = 8.3, 95% CI = 3.97, 17.42 in 2016) and women with more years of schooling (AOR = 1.2, 95% CI = 1.17, 1.27 in 2006; AOR = 1.1, 95% CI = 1.04, 1.14 in 2011; AOR = 1.1, 95% CI = 1.07, 1.16 in 2016) were more likely to deliver in private health facilities. Likewise, children belonging to the highest wealth quintile (AOR = 8.0, 95% CI = 2.43, 26.54 in 2006; AOR = 6.4, 95% CI = 1.59, 25.85 in 2016) were more likely to receive diarrhoea treatment in private health facilities. CONCLUSIONS: Women are increasingly visiting private health facilities for maternal and child health care in Nepal. Household wealth quintile and more years of schooling were the major determinants for selecting private health facilities for these services. These trends indicate the importance of collaboration between private and public health facilities in Nepal to foster a public private partnership approach in the Nepalese health care sector.

Victorian maternal and child health nurses' family violence practices and training needs: a cross-sectional analysis of routine data.

This study investigated maternal and child health (MCH) nurse family violence clinical practices, practice gaps and future family violence training needs. Descriptive analysis was conducted of routine data collected as part of a larger MCH nurse family violence training project conducted in 2018. A purposive sample of routine data (2017-18) was analysed from six Victorian metropolitan and four regional and rural areas that were experiencing high rates of violence, as indicated by police reports. Descriptive statistics and regression analyses were used to identify rates of nurse family violence screening, safety planning and referral, with practice differences analysed across locations. MCH nurses ask only one in two clients about family violence at the mandated 4-week postnatal clinic visit. Overall, metropolitan nurses screen for family violence at higher rates than rural nurses. Safety planning rates were low (1.3%), suggesting that screening is not translating to disclosure rates equivalent to state-wide prevalence (~14-17%) or police data. Nurse referrals are even lower (<1%), with practice differences noted across reporting systems. Despite data collection limitations, analysis of routine data shows significant gaps in nurse family violence screening and response practices. This evidence reinforces the need for systems changes to address family violence and other maternal health and social issues.

＜Editors' Choice＞ Factors influencing utilization of postnatal care visits in Afghanistan.

The World Health Organization (WHO) defines the postnatal period as the first six weeks (42 days) after delivery and recommends four postnatal care (PNC) visits for women giving birth to a child to enable early detection and treatment of complications. However, a low utilization of PNC visits by Afghan women has contributed to a relatively high maternal mortality in Afghanistan. This study aimed to identify factors influencing the utilization of PNC visits among Afghan women by sampling nationally representative data from Afghanistan Demographic and Health Survey (AfDHS), 2015. The logistic model was used to measure the adjusted odds of utilizing PNC services among women, with a 95% confidence interval (95% CI) and a p-value of <0.05 for statistical significance. The study found that the utilization of PNC visits in Afghanistan is low; among 8,581 women (44%) who utilized PNC visits and 10,924 women (56%) who didn't, the women's age, place of residence, parity, education, occupation, number of antenatal care (ANC) visits, place of delivery, exposure to public media, the woman's role in decision making and needing a permission to seek healthcare were found to be associated with the level of utilization of PNC visits. Based on the study results, health promotion interventions are recommended to increase the utilization of PNC visits.

Influence of community scorecards on maternal and newborn health service delivery and utilization.

INTRODUCTION: The community score card (CSC) is a participatory monitoring and evaluation tool that has been employed to strengthen the mutual accountability of health system and community actors. In this paper we describe the influence of the CSC on selected maternal and newborn service delivery and utilization indicators. METHODS: This was a mixed methods study that used both quantitative and qualitative data collection methods. It was implemented in five sub-counties and one town council in Kibuku district in Uganda. Data was collected through 17 key informant interviews and 10 focus group discussions as well as CSC scoring and stakeholder meeting reports. The repeated measures ANOVA test was used to test for statistical significance. Qualitative data was analyzed manually using content analysis. The analysis about the change pathways was guided by the Wild and Harris dimensions of change framework. RESULTS: There was an overall improvement in the common indicators across sub-counties in the project area between the 1st and 5th round scores. Almost all the red scores had changed to green or yellow by round five except for availability of drugs and mothers attending Antenatal care (ANC) in the first trimester. There were statistically significant differences in mean scores for men escorting their wives for ante natal care (ANC) (F(4,20) = 5.45, P = 0.01), availability of midwives (F(4,16) =5.77, P < 0.01), availability of delivery beds (F(4,12) =9.00, P < 0.01) and mothers delivering from traditional birth attendants (TBAs), F(4,16) = 3.86, p = 0.02). The qualitative findings suggest that strengthening of citizens' demand, availability of resources through collaborative problem solving, increased awareness about targeted maternal health services and increased top down performance pressure contributed to positive changes as perceived by community members and their leaders. CONCLUSIONS AND RECOMMENDATIONS: The community score cards created opportunities for community leaders and communities to work together to identify innovative ways of dealing with the health service delivery and utilization challenges that they face. Local leaders should encourage the availability of safe spaces for dialogue between communities, health workers and leaders where performance and utilization challenges can be identified and solutions proposed and implemented jointly.

Factors influencing the performance of community health workers: A qualitative study of Anganwadi Workers from Bihar, India.

Globally, there remain significant knowledge and evidence gaps around how to support Community Health Worker (CHW) programmes to achieve high coverage and quality of interventions. India's Integrated Child Development Services scheme employs the largest CHW cadre in the world-Anganwadi Workers (AWWs). However, factors influencing the performance of these workers remain under researched. Lessons from it have potential to impact on other large scale global CHW programmes. A qualitative study of AWWs in the Indian state of Bihar was conducted to identify key drivers of performance in 2015. In-depth interviews were conducted with 30 AWWs; data was analysed using both inductive and deductive thematic analysis. The study adapted and contextualised existing frameworks on CHW performance, finding that factors affecting performance occur at the individual, community, programme and organisational levels, including factors not previously identified in the literature. Individual factors include initial financial motives and family support; programme factors include beneficiaries' and AWWs' service preferences and work environment; community factors include caste dynamics and community and seasonal migration; and organisational factors include corruption. The initial motives of the worker (the need to retain a job for family financial needs) and community expectations (for product-oriented services) ensure continued efforts even when her motivation is low. The main constraints to performance remain factors outside of her control, including limited availability of programme resources and challenging relationships shaped by caste dynamics, seasonal migration, and corruption. Programme efforts to improve performance (such as incentives, working conditions and supportive management) need to consider these complex, inter-related multiple determinants of performance. Our findings, including new factors, contribute to the global literature on factors affecting the performance of CHWs and have wide application.

Evaluation of a community-based intervention for health and economic empowerment of marginalized women in India.

BACKGROUND: Empowered women have improved decision-making capacity and can demand equal access to health services. Community-based interventions based on building women's groups for awareness generation on maternal and child health (MCH) are the best and cost-effective approaches in improving their access to health services. The present study evaluated a community-based intervention aimed at improving marginalized women's awareness and utilization of MCH services, and access to livelihood and savings using the peer-led approach from two districts of India. METHODS: We used peer educators as mediators of knowledge transfer among women and for creating a supportive environment at the household and community levels. The intervention was implemented in two marginalized districts of Uttar Pradesh, namely Banda and Kaushambi. Two development blocks in each of the two districts were selected randomly, and 24 villages in each of the four blocks were selected based on the high percentage of a marginalized population. The evaluation of the intervention involved a non-experimental, 'post-test analysis of the project group' research design, in a mixed-method approach. Data were collected at two points in time, including qualitative interviews at the end line and tracking data of the intervention population (n = 37,324) through an online management information system. RESULTS: Most of the women in Banda (90%) and Kaushambi (85%) attended at least 60% of the education sessions. Around 39% of women in Banda and 35% of women in Kaushambi registered for the livelihood scheme, and 94 and 80% of them had worked under the scheme in these two places, respectively. Women's awareness about MCH seemed to have increased post-intervention. The money earned after getting work under the livelihood scheme or from daily savings was deposited in the bank account by the women. These savings helped the women investing money at times of need, such as starting their work, in emergencies for the medical treatment of their family members, education of their children, etc. CONCLUSION: Peer-led model of intervention can be explored to improve the combined health and economic outcomes of marginalized women.

Evaluating the effect of maternal mHealth text messages on uptake of maternal and child health care services in South Africa: a multicentre cohort intervention study.

BACKGROUND: There are high expectations that mobile health (mHealth) strategies will increase uptake of health care services, especially in resource strained settings. Our study aimed to evaluate effects of an mHealth intervention on uptake of maternal health services. METHODS: This was an intervention cohort study conducted at six public antenatal and postnatal care clinics in inner-city Johannesburg, South Africa. The intervention consisted of twice-weekly informative and pregnancy stage-based maternal health information text messages sent to women during pregnancy until their child was one year of age. The intervention arm of 87 mother-infant pairs was compared to a control arm of 90 pairs. Univariate and multivariate analyses were used to compare the probability of the outcome between the two groups. RESULTS: Intervention participants had higher odds of attending all government-recommended antenatal and postnatal visits, all recommended first year vaccinations (OR: 3.2, 95% CI 1.63-6.31) and had higher odds of attending at least the recommended four antenatal visits (OR: 3.21, 95% CI 1.73-5.98). CONCLUSION: We show an improvement in achieving complete maternal-infant continuum of care, providing evidence of a positive impact of informative maternal mHealth messages sent to pregnant women and new mothers. Trial registration ISRCTN, ISRCTN41772986. Registered 13 February 2019-Retrospectively registered, https://www.isrctn.com/ISRCTN41772986.

Influential factor combinations leading to language outcomes following a home visiting intervention: A qualitative comparative analysis (QCA).

BACKGROUND: Children who experience adversity are more vulnerable to language difficulties. Early interventions beginning antenatally, such as home visiting, are provided to help prevent these problems. To improve the precision of early interventions, the impact of combinations of risk and protective factors over time must be explored and understood. There is, however, limited research investigating how such factors interact with intervention to change language outcomes over time. AIM: To explore the different paths that lead to Good and Poor language in a cohort of children experiencing adversity whose mothers received an optimal dose of the Maternal Early Childhood Sustained Home visiting (MECSH) intervention over 2.5 years. METHODS & PROCEDURES: A total of 24 low socioeconomic status (SES) mothers experiencing adversity and their children who received more than half the scheduled dose of the MECSH intervention were followed over time: from before birth to school entry. Data were extracted from surveys and direct measurement over the study course. Child language outcome at school entry and the influence of seven key child, maternal and environmental factors, which have been shown in previous research to result in Good and Poor language outcomes, were explored through qualitative comparative analysis (QCA). QCA is a qualitative analytical technique that provides a deeper understanding of factor combinations influencing language development. OUTCOMES & RESULTS: Multiple paths to Good (six paths) and Poor language (seven paths) were found. Paths with mostly protective factors resulted in Good language, except when maternal antenatal distress was present. Paths with two or more influential risks usually resulted in Poor language outcomes. When children experiencing adversity received the MECSH home visiting intervention, there was no one risk or protective factor necessary for Good or Poor language outcomes; however, there were clear patterns of factor combinations. CONCLUSIONS & IMPLICATIONS: Mothers' antenatal psychological resources were a flag for future language concerns which can be used to improve the precision of the MECSH intervention. They were highly influential to their children's Good and Poor language outcomes by 5 years, when over time they were combined with characteristics such as early childhood education, poor maternal responsivity and/or the number of children in the home. Knowledge of early conditions associated with later Poor language can help clinicians identify and respond in preventative and promoting ways to improve language skills. What this paper adds What is already known on the subject Children experiencing adversity are more vulnerable to language difficulties. Both risk for language difficulties and protection against them in this group are via a complex combination of factors. It is unknown how intervention works with these complex factors to result in Good and Poor language outcomes. What this paper adds to existing knowledge There are multiple paths to both Good and Poor language outcomes for children experiencing adversity. Mothers' psychological resources antenatally in combination with other key factors were particularly influential to Good and Poor language outcomes. What are the clinical implications of this work? In this study, maternal antenatal distress together with poor maternal responsivity were present in children's paths to Poor language outcomes at school entry. An extra focus on responsivity is required in antenatally distressed mothers of children experiencing adversity in early interventions. Children of mothers with good psychological resources antenatally who received home visiting intervention had Good language outcomes at 5 years when combined with 3 years or more of early childhood education and if there were one to two children in the home. Knowledge of these influences on language development can improve the precision of home visiting interventions and help clinicians tailor their visits to individual families' needs.