IDEAS project - Qualitative data for the Data Informed Platform for Health formative study in West Bengal

The IDEAS project sought to improve the health and survival of mothers and babies by generating evidence to inform policy and practice and strengthening the public sector’s capacity for data-based decision-making. It undertook formative research for the creation of a Data Informed Platform for Health (DIPH) that was piloted in two districts, North 24 Parganas and South 24 Parganas, in West Bengal. This data collection contains transcripts of face-to-face in-depth interviews with representatives, on the operation of the District Health & Family Welfare Society in North 24 Parganas and South 24 Parganas, and field notes produced during observations of meetings of the Executive Committee of the District Health & Family Welfare Society

IDEAS project - Data Informed Platform for Health feasibility study in Uttar Pradesh

The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice. This data collection contains topic guides and other research tools used to assess the feasibility of introducing a Data Informed Platform for Health (DIPH), in order to bring together key data from the public and private health sector on inputs and processes that may influence maternal and newborn health. The DIPH was intended to promote the use of local data for decision-making and priority setting at local health administration level, and for programme appraisal and comparison at regional and zonal level

Factors influencing women’s preference for health facility deliveries in Jharkhand state, India: a cross sectional analysis

BACKGROUND: Expanding institutional deliveries is a policy priority to achieve MDG5. India adopted a policy to encourage facility births through a conditional cash incentive scheme, yet 28% of deliveries still occur at home. In this context, it is important to understand the care experience of women who have delivered at home, and also at health facilities, analyzing any differences, so that services can be improved to promote facility births. This study aims to understand women's experience of delivery care during home and facility births, and the factors that influence women's decisions regarding their next place of delivery. METHOD: A community-based cross-sectional survey was undertaken in a district of Jharkhand state in India. Interviews with 500 recently delivered women (210 delivered at facility and 290 delivered at home) included socio-demographic characteristics, experience of their recent delivery, and preference of future delivery site. Data analysis included frequencies, binary and multiple logistic regressions. RESULTS: There is no major difference in the experience of care between home and facility births, the only difference in care being with regard to pain relief through massage, injection and low cost of delivery for those having home births. 75% women wanted to deliver their next child at a facility, main reasons being availability of medicine (29.4%) and perceived health benefits for mother and baby (15%). Women with higher education (AOR = 1.67, 95% CI = 1.04-3.07), women who were above 25 years (AOR = 2.14, 95% CI = 1.26-3.64), who currently delivered at facility (AOR = 5.19, 95% CI = 2.97-9.08) and had health problem post-delivery (AOR = 1.85, 95% CI = 1.08-3.19) were significant predictors of future facility-based delivery. CONCLUSION: The predictors for facility deliveries include, availability of medicines and supplies, potential health benefits for the mother and newborn and the perception of good care from the providers. There is a growing preference for facility delivery particularly among women with higher age group, education, income and those who had antennal checkup. In order to uptake facility births, the quality improvement initiatives should regularly assess and address women's experiences of care

"Neither we are satisfied nor they"-users and provider's perspective: a qualitative study of maternity care in secondary level public health facilities, Uttar Pradesh, India.

BACKGROUND: Quality of care provided during childbirth is a critical determinant of preventing maternal mortality and morbidity. In the studies available, quality has been assessed either from the users' perspective or the providers'. The current study tries to bring both perspectives together to identify common key focus areas for quality improvement. This study aims to assess the users' (recently delivered women) and care providers' perceptions of care to understand the common challenges affecting provision of quality maternity care in public health facilities in India. METHODS: A qualitative design comprising of in-depth interviews of 24 recently delivered women from secondary care facilities and 16 health care providers in Uttar Pradesh, India. The data were analysed thematically to assess users' and providers' perspectives on the common themes. RESULTS: The common challenges experienced regarding provision of care were inadequate physical infrastructure, irregular supply of water, electricity, shortage of medicines, supplies, and gynaecologist and anaesthetist to manage complications, difficulty in maintaining privacy and lack of skill for post-delivery counselling. However, physical access, cleanliness, interpersonal behaviour, information sharing and out-of-pocket expenditure were concerns for only users. Similarly, providers raised poor management of referral cases, shortage of staff, non-functioning of blood bank, lack of incentives for work as their concerns. DISCUSSION: The study identified the common themes of care from both the perspectives, which have been foundrelevant in terms of challenges identified in many developing countries including India. The study framework identified new themes like management of emergencies in complicated cases, privacy and cost of care which both the group felt is relevant in the context of providing quality care during childbirth in low resource setting. The key challenges identified by both the groups can be prioritized, when developing quality improvement program in the health facilities. The identified components of care can match the supply with the demand for care and make the services truly responsive to user needs. CONCLUSION: The study highlights infrastructure, human resources, supplies and medicine as priority areas of quality improvement in the facility as perceived by both users and providers, nevertheless the interpersonal aspect of care primarily reported by the users must also not be ignored

District decision-making for health in low-income settings: a case study of the potential of public and private sector data in India and Ethiopia.

Many low- and middle-income countries have pluralistic health systems where private for-profit and not-for-profit sectors complement the public sector: data shared across sectors can provide information for local decision-making. The third article in a series of four on district decision-making for health in low-income settings, this study shows the untapped potential of existing data through documenting the nature and type of data collected by the public and private health systems, data flow and sharing, use and inter-sectoral linkages in India and Ethiopia. In two districts in each country, semi-structured interviews were conducted with administrators and data managers to understand the type of data maintained and linkages with other sectors in terms of data sharing, flow and use. We created a database of all data elements maintained at district level, categorized by form and according to the six World Health Organization health system blocks. We used content analysis to capture the type of data available for different health system levels. Data flow in the public health sectors of both counties is sequential, formal and systematic. Although multiple sources of data exist outside the public health system, there is little formal sharing of data between sectors. Though not fully operational, Ethiopia has better developed formal structures for data sharing than India. In the private and public sectors, health data in both countries are collected in all six health system categories, with greatest focus on service delivery data and limited focus on supplies, health workforce, governance and contextual information. In the Indian private sector, there is a better balance than in the public sector of data across the six categories. In both India and Ethiopia the majority of data collected relate to maternal and child health. Both countries have huge potential for increased use of health data to guide district decision-making

District decision-making for health in low-income settings: a qualitative study in Uttar Pradesh, India, on engaging the private health sector in sharing health-related data.

Health information systems are an important planning and monitoring tool for public health services, but may lack information from the private health sector. In this fourth article in a series on district decision-making for health, we assessed the extent of maternal, newborn and child health (MNCH)-related data sharing between the private and public sectors in two districts of Uttar Pradesh, India; analysed barriers to data sharing; and identified key inputs required for data sharing. Between March 2013 and August 2014, we conducted 74 key informant interviews at national, state and district levels. Respondents were stakeholders from national, state and district health departments, professional associations, non-governmental programmes and private commercial health facilities with 3-200 beds. Qualitative data were analysed using a framework based on a priori and emerging themes. Private facilities registered for ultrasounds and abortions submitted standardized records on these services, which is compulsory under Indian laws. Data sharing for other services was weak, but most facilities maintained basic records related to institutional deliveries and newborns. Public health facilities in blocks collected these data from a few private facilities using different methods. The major barriers to data sharing included the public sector's non-standardized data collection and utilization systems for MNCH and lack of communication and follow up with private facilities. Private facilities feared information disclosure and the additional burden of reporting, but were willing to share data if asked officially, provided the process was simple and they were assured of confidentiality. Unregistered facilities, managed by providers without a biomedical qualification, also conducted institutional deliveries, but were outside any reporting loops. Our findings suggest that even without legislation, the public sector could set up an effective MNCH data sharing strategy with private registered facilities by developing a standardized and simple system with consistent communication and follow up

"There Is No Link Between Resource Allocation and Use of Local Data": A Qualitative Study of District-Based Health Decision-Making in West Bengal, India.

BACKGROUND: Effective coordination among multiple departments, including data-sharing, is needed for sound decision-making for health services. India has a district planning process involving departments for local resource-allocation based on shared data. This study assesses the decision-making process at the district level, with a focus on the extent of local data-use for resource allocation for maternal and child health. METHODS: Direct observations of key decision-making meetings and qualitative interviews with key informants were conducted in two districts in the State of West Bengal, India. Content analysis of the data maintained within the district health system was done to understand the types of data available and sharing mechanisms. This information was triangulated thematically based on WHO health system blocks. RESULTS: There was no structured decision-making process and only limited inter-departmental data-sharing. Data on all 21 issues discussed in the district decision-making meetings observed were available within the information systems. Yet indicators for only nine issues-such as institutional delivery and immunisation services were discussed. Discussions about infrastructure and supplies were not supported by data, and planning targets were not linked to health outcomes. CONCLUSION: Existing local data is highly under-used for decision-making at the district level. There is strong potential for better interaction between departments and better use of data for priority-setting, planning and follow-up

Advancing a conceptual model to improve maternal health quality: The Person-Centered Care Framework for Reproductive Health Equity [version 1; referees: 2 approved, 2 approved with reservations]

Background: Globally, substantial health inequities exist with regard to maternal, newborn and reproductive health. Lack of access to good quality care—across its many dimensions—is a key factor driving these inequities. Significant global efforts have been made towards improving the quality of care within facilities for maternal and reproductive health. However, one critically overlooked aspect of quality improvement activities is person-centered care. Main body: The objective of this paper is to review existing literature and theories related to person-centered reproductive health care to develop a framework for improving the quality of reproductive health, particularly in low and middle-income countries. This paper proposes the Person-Centered Care Framework for Reproductive Health Equity, which describes three levels of interdependent contexts for women’s reproductive health: societal and community determinants of health equity, women’s health-seeking behaviors, and the quality of care within the walls of the facility. It lays out eight domains of person-centered care for maternal and reproductive health. Conclusions: Person-centered care has been shown to improve outcomes; yet, there is no consensus on definitions and measures in the area of women’s reproductive health care. The proposed Framework reviews essential aspects of person-centered reproductive health care

"Just as curry is needed to eat rice, antibiotics are needed to cure fever"-a qualitative study of individual, community and health system-level influences on community antibiotic practices in rural West Bengal, India.

OBJECTIVES: To understand community antibiotic practices and their drivers, comprehensively and in contextually sensitive ways, we explored the individual, community and health system-level factors influencing community antibiotic practices in rural West Bengal in India. DESIGN: Qualitative study using focus group discussions and in-depth interviews. SETTING: Two contrasting village clusters in South 24 Parganas district, West Bengal, India. Fieldwork was conducted between November 2019 and January 2020. PARTICIPANTS: 98 adult community members (42 men and 56 women) were selected purposively for 8 focus group discussions. In-depth interviews were conducted with 16 community key informants (7 teachers, 4 elected village representatives, 2 doctors and 3 social workers) and 14 community health workers. RESULTS: Significant themes at the individual level included sociodemographics (age, gender, education), cognitive factors (knowledge and perceptions of modern antibiotics within non-biomedical belief systems), affective influences (emotive interpretations of appropriate medicine consumption) and economic constraints (affordability of antibiotic courses and overall costs of care). Antibiotics were viewed as essential fever remedies, akin to antipyretics, with decisions to halt mid-course influenced by non-biomedical beliefs associating prolonged use with toxicity. Themes at the community and health system levels included the health stewardship roles of village leaders and knowledge brokering by informal providers, pharmacists and public sector accredited social health activists. However, these community resources lacked sufficient knowledge to address people's doubts and concerns. Qualified doctors were physically and socially inaccessible, creating a barrier to seeking their expertise. CONCLUSIONS: The interplay of sociodemographic, cognitive and affective factors, and economic constraints at the individual level, underscores the complexity of antibiotic usage. Additionally, community leaders and health workers emerge as crucial players, yet their knowledge gaps and lack of empowerment pose challenges in addressing public concerns. This comprehensive analysis highlights the need for targeted interventions that address both individual beliefs and community health dynamics to promote judicious antibiotic use