Factors Affecting Delivery of Maternal and Newborn Care in Rural Public Health System in Madhya Pradesh, India

Author(s):  
Mamta Verma ◽  
Kanchan Mukherjee
PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e83822 ◽  
Author(s):  
Miaomiao Tian ◽  
Da Feng ◽  
Xi Chen ◽  
Yingchun Chen ◽  
Xi Sun ◽  
...  

2019 ◽  
Vol 26 (8-9) ◽  
pp. 825-834 ◽  
Author(s):  
Betty Bekemeier ◽  
Seungeun Park ◽  
Uba Backonja ◽  
India Ornelas ◽  
Anne M Turner

Abstract Objective Rural public health system leaders struggle to access and use data for understanding local health inequities and to effectively allocate scarce resources to populations in need. This study sought to determine these rural public health system leaders’ data access, capacity, and training needs. Materials and Methods We conducted qualitative interviews across Alaska, Idaho, Oregon, and Washington with individuals expected to use population data for analysis or decision-making in rural communities. We used content analysis to identify themes. Results We identified 2 broad themes: (1) challenges in accessing or using data to monitor and address health disparities and (2) needs for training in data use to address health inequities. Participants faced challenges accessing or using data to address rural disparities due to (a) limited availability or access to data, (b) data quality issues, (c) limited staff with expertise and resources for analyzing data, and (d) the diversity within rural jurisdictions. Participants also expressed opportunities for filling capacity gaps through training—particularly for displaying and communicating data. Discussion Rural public health system leaders expressed data challenges, many of which can be aided by informatics solutions. These include interoperable, accessible, and usable tools that help capture, access, analyze, and display data to support health equity efforts in rural communities. Conclusion Informatics has the potential to address some of the daunting data-related challenges faced by rural public health system leaders working to enhance health equity. Future research should focus on developing informatics solutions to support data access and use in rural communities.


2021 ◽  
Author(s):  
Aatmika Nair ◽  
Yash Jawale ◽  
Sweta R Dubey ◽  
Surabhi Dharmadhikari ◽  
Siddhesh Zadey

Abstract BACKGROUND Rural India has a severe shortage of human resources for health (HRH). The National Rural Health Mission (NRHM) deploys HRH in the rural public health system to tackle shortages. Sanctioning under NRHM does not account for workload resulting in inadequate and inequitable HRH allocation. The Workforce Indicators of Staffing Needs (WISN) approach can identify shortages and inform appropriate sanctioning norms. India currently lacks nationally-relevant WISN estimates. We used existing data and modelling techniques to synthesize such estimates. METHODS We conducted a retrospective analysis of existing survey data for 93 facilities from 5 states over 8 years to create WISN calculations for HRH cadres at primary and community health centres (PHCs and CHCs) in rural areas. We modelled nationally-representative average WISN-based requirements for specialist doctors at CHCs, general doctors and nurses at PHCs and CHCs. For 2019, we calculated national and state-level overall and per-centre WISN differences and ratios to depict shortage and workload pressure. We checked correlations between WISN ratios for cadres at a given centre-type to assess joint workload pressure. We evaluated the gaps between WISN-based requirements and sanctioned posts to investigate suboptimal sanctioning through concordance analysis and difference comparisons. RESULTS In 2019, at the national-level, WISN differences depicted workforce shortages for all considered HRH cadres. WISN ratios showed that nurses at PHCs and CHCs, and all specialist doctors at CHCs had very high workload pressure. States with more workload on PHC-doctors also had more workload on PHC-nurses depicting an augmenting or compounding effect on workload pressure across cadres. A similar result was seen for CHC-specialist pairs - physicians and surgeons, physicians and paediatricians, and paediatricians and obstetricians-gynaecologists. We found poor concordance between current sanctioning norms and WISN-based requirements with all cadres facing under-sanctioning. We also present across-state variations in workforce problems, workload pressure and sanctioning problems. CONCLUSION We demonstrate the use of WISN calculations based on available data and modelling techniques for national-level estimation. Our findings suggest prioritising nurses and specialists in the rural public health system and updating the existing sanctioning norms based on workload assessments. Workload-based rural HRH deployment can ensure adequate availability and optimal distribution.


What does innovation mean to and in India? What are the predominant areas of innovation for India, and under what situations do they succeed or fail? This book addresses these all-important questions arising within diverse Indian contexts: informal economy, low-cost settings, large business groups, entertainment and copyright-based industries, an evolving pharma sector, a poorly organized and appallingly underfunded public health system, social enterprises for the urban poor, and innovations for the millions. It explores the issues that promote and those that hinder the country’s rise as an innovation leader. The book’s balanced perspective on India’s promises and failings makes it a valuable addition for those who believe that India’s future banks heavily on its ability to leapfrog using innovation, as well as those sceptical of the Indian state’s belief in the potential of private enterprise and innovation. It also provides critical insights on innovation in general, the most important of which being the highly context-specific, context-driven character of the innovation project.


2021 ◽  
Vol 21 (S1) ◽  
Author(s):  
Rejina Gurung ◽  
◽  
Harriet Ruysen ◽  
Avinash K. Sunny ◽  
Louise T. Day ◽  
...  

Abstract Background Respectful maternal and newborn care (RMNC) is an important component of high-quality care but progress is impeded by critical measurement gaps for women and newborns. The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study was an observational study with mixed methods assessing measurement validity for coverage and quality of maternal and newborn indicators. This paper reports results regarding the measurement of respectful care for women and newborns. Methods At one EN-BIRTH study site in Pokhara, Nepal, we included additional questions during exit-survey interviews with women about their experiences (July 2017–July 2018). The questionnaire was based on seven mistreatment typologies: Physical; Sexual; or Verbal abuse; Stigma/discrimination; Failure to meet professional standards of care; Poor rapport between women and providers; and Health care denied due to inability to pay. We calculated associations between these typologies and potential determinants of health – ethnicity, age, sex, mode of birth – as possible predictors for reporting poor care. Results Among 4296 women interviewed, none reported physical, sexual, or verbal abuse. 15.7% of women were dissatisfied with privacy, and 13.0% of women reported their birth experience did not meet their religious and cultural needs. In descriptive analysis, adjusted odds ratios and multivariate analysis showed primiparous women were less likely to report respectful care (β = 0.23, p-value < 0.0001). Women from Madeshi (a disadvantaged ethnic group) were more likely to report poor care (β = − 0.34; p-value 0.037) than women identifying as Chettri/Brahmin. Women who had caesarean section were less likely to report poor care during childbirth (β = − 0.42; p-value < 0.0001) than women with a vaginal birth. However, babies born by caesarean had a 98% decrease in the odds (aOR = 0.02, 95% CI, 0.01–0.05) of receiving skin-to-skin contact than those with vaginal births. Conclusions Measurement of respectful care at exit interview after hospital birth is challenging, and women generally reported 100% respectful care for themselves and their baby. Specific questions, with stratification by mode of birth, women’s age and ethnicity, are important to identify those mistreated during care and to prioritise action. More research is needed to develop evidence-based measures to track experience of care, including zero separation for the mother-newborn pair, and to improve monitoring.


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