Universal health insurance in India: ensuring equity, efficiency, and quality

Utilisation of public healthcare services by an indigenous group: a mixed-method study among Santals of West Bengal, India

A barrier to meeting the goal of universal health coverage in India is the inequality in utilisation of health services between indigenous and non-indigenous people. This study aimed to explore the determinants of utilisation, or non-utilisation, of public healthcare services among the Santals, an indigenous community living in West Bengal, India. The study holistically explored the utilisation of public healthcare facilities using a framework that conceptualised service coverage to be dependent on a set of determinants - viz. the nature and severity of the ailment, availability, accessibility (geographical and financial), and acceptability of the healthcare options and decision-making around these further depends on background characteristics of the individual or their family/household. This cross-sectional study adopts ethnographic approach for detailed insight into the issue and interviewed 422 adult members of Santals living in both rural (Bankura) and urban (Howrah) areas of West Bengal for demographic, socio-economic characteristics and healthcare utilisation behaviour using pre-tested data collection schedule. The findings revealed that utilisation of the public healthcare facilities was low, especially in urban areas. Residence in urban areas, being female, having higher education, engaging in salaried occupation and having availability of private allopathic and homoeopathic doctors in the locality had higher odds of not utilising public healthcare services. Issues like misbehaviour from the health personnel, unavailability of medicine, poor quality of care, and high patient load were reported as the major reasons for non-utilisation of public health services. The finding highlights the importance of improving the availability and quality of care of healthcare services for marginalised populations because these communities live in geographically isolated places and have low affordability of private healthcare. The health programme needs to address these issues to improve the utilisation and reduce the inequality in healthcare utilisation, which would be beneficial for all segments of Indian population.

Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study

INTRODUCTION

To ensure that the evidence generated by health technology assessment (HTA) is translated to policy, it is important to generate a threshold value against which the outcomes of HTA studies can be compared. In this context, the present study delineates the methods that will be deployed to estimate such a value for India.

METHODS AND ANALYSIS

The proposed study will deploy a multistage sampling approach considering economic and health status for selection of states, followed by selection of districts based on Multidimensional Poverty Index (MPI) and identification of primary sampling units (PSUs) using the 30-cluster approach. Further, households within PSU will be identified using systematic random sampling and block randomisation based on gender will be done to select respondent from the household. A total of 5410 respondents will be interviewed for the study. The interview schedule will comprise of three sections including background questionnaire to elicit socioeconomic and demographic characteristics, followed by assessment of health gains, and willingness to pay (WTP). To assess the health gains and corresponding WTP, the respondent will be presented with hypothetical health states. Using time trade off method, the respondent will indicate the amount of time he/she is willing to give up at the end of life to avoid morbidities in the hypothetical health condition. Further, respondents will be interviewed about their WTP for treatment of respective hypothetical conditions using contingent valuation technique. These estimates of health gains and corresponding WTP will then be combined to ascertain the value of WTP per quality-adjusted life year.

ETHICS AND DISSEMINATION

The ethical approval has been obtained from the Institutional Ethics Committee (IEC) of Postgraduate Institute of Medical Education and Research, Chandigarh, India. The study outcomes will be made available for general use and interpretation of HTA studies commissioned by India's central HTA Agency.

Harnessing Bourdieu's social theory to understand the deteriorating doctor-patient-nurse relationship in West Bengal government hospitals

Communication patterns between doctors, nurses and patients determine both the efficiency of healthcare delivery, and the job satisfaction of healthcare workers. Job satisfaction is important to ensure retention of the doctor and nurse populations. Incidents of assault against physicians and nurses from relatives and family members of patients have become frequent both in the pre-pandemic and COVID-19 eras. Along with appreciation for frontline healthcare workers serving during the pandemic, there is physical violence directed at them for failing to salvage infected patients. Using Bourdieu's concepts of social space, forms of capital, and habitus this paper endeavors to theorize some of the interaction patterns observed in doctor-patient, nurse-patient, and doctor-nurse encounters that contribute to the waning of the relationship between healthcare workers and wider society as observed in West Bengal, India. Primary empirical data was collected through in-person, in-depth semi-structured interviews with both open and closed-ended questions conducted throughout 2018 across 5 government hospitals in Kolkata (major metropolitan center) and 1 hospital in a suburban area with population 100,000. The respondents consisted of 51 nurses (100% women), 20 doctors (5% women), and 33 patients (33.3% women) recruited using purposive and snowball sampling. Social space analysis indicated that the cumulative patient social capital is comparable to that of the doctors, despite the doctor's higher levels of cultural and economic capital because of the high patient to doctor ratio. The patient population can thus concentrate and delegate their social capital to select agents leading to violence against healthcare workers. Through this analysis, two doctors' habitus were postulated, along with a nurse and a patient habitus. The first doctor habitus is structured by the idealized status of doctors and the second habitus is structured by their resource-limited working conditions. The nurse habitus is structured by the desire for economic empowerment along with dutifully providing care as instructed. The patient habitus is structured by the need to balance healthcare expenditures with their limited financial means. This paper establishes how the habitus of the agents and the politics of healthcare interact to exacerbate extant tensions between healthcare workers and the population they care for.

Health Insurance Coverage In Low- And Middle-Income Countries Remains Far From The Goal Of Universal Coverage

This study aimed to determine levels of health insurance coverage in low- and middle-income countries and how coverage varies by people's sociodemographic characteristics. We conducted a population size-weighted, one-stage individual participant data meta-analysis of health insurance coverage, using a population-based sample of 2,035,401 participants ages 15-59 from nationally representative household surveys in fifty-six countries during the period 2006-18. One in five people (20.3 percent) across the fifty-six countries in our study had health insurance. Health insurance coverage exceeded 50 percent in only seven countries and 70 percent in only three countries. Substantially more people had public health insurance than private health insurance (71.4 percent versus 28.6 percent). We found that men and older, more educated, and wealthier people were more likely to have health insurance; these sociodemographic gradients in health insurance coverage were strongest in sub-Saharan Africa and followed traditional lines of privilege. Low- and middle-income countries need to massively expand health insurance coverage if they intend to use insurance to achieve universal health coverage.

What is the Out-of-Pocket Expenditure on Medicines in India? An Empirical Assessment using a Novel Methodology

The share of expenditure on medicines as part of the total out-of-pocket (OOP) expenditure on healthcare services has been reported to be much higher in India than in other countries. This study was conducted to ascertain the extent of this share of medicines expenditure using a novel methodology. OOP expenditure data were collected through exit-interviews with 5252 out-patient department (OPD) patients in three states of India. Follow-up interviews were conducted after day 1 and 15 of the baseline to identify any additional expenditure incurred. In addition, medicine prescription data were collected from the patients through prescription audits. Self-reported expenditure on medicines was compared with the amount imputed using local market prices based on prescription data. The results were also compared with the mean expenditure on medicines per spell of ailment among non-hospitalized cases from National Sample Survey (NSS) 75th round for the corresponding states and districts, which is based on household survey methodology. The share of medicines in OOP expenditure did not change significantly for organized private hospitals using patient-reported versus imputation-based method (30.74% to 29.61%). Large reductions were observed for single-doctor clinics, especially in case of Ayurvedic (64.51% to 36.51%) and Homeopathic (57.53% to 42.74%) practitioners. After adjustment for socio-demographic factors and types of ailments, we found that household data collection as per NSS methodology leads to an increase of 25% and 26% in reported share of medicines for public and private sector out-patient consultations respectively, as compared to facility based exit interviews with imputation of expenditure for medicines as per actual quantity and price data. The nature of health care transactions at single-doctor clinics in rural India leads to an over-reporting of expenditure on medicines by patients. While household surveys are valid to provide total expenditure, these are less likely to correctly estimate the share of medicines expenditure.

A fuzzy analytic hierarchy process-based analysis for prioritization of barriers to the adoption of eHealth in India

INTRODUCTION

eHealth is essential for revolutionising the health sector in India. eHealth enhances patient-centred healthcare by providing digital solutions to improve the quality of care, communication between doctors and patients; enhances the management of health data and integration of healthcare systems. Despite the importance of eHealth and the National Digital Health Mission in India, the adoption of eHealth faces several barriers. The objective of this research is to identify and classify the factors that act as barriers to the adoption of eHealth in India.

METHODOLOGY

These barriers were ranked using a fuzzy analytic hierarchy process, which is a multi-criteria decision-making approach. Thirty-seven barriers were identified and grouped into eight categories named customer, regulatory, technical, organizational, practitioner, marketing, administrative, and economic.

RESULTS

The barriers under the marketing category are the most significant obstacles to the deployment of eHealth in India, which includes promotion, customer engagement, and customer loyalty. Customer-related barriers were identified as the second most important barriers to eHealth, which included health consciousness, literacy in eHealth, lack of motivational value for elderly people, unclear benefits, learning new technology, lack of trust, and less knowledge of health experts, and cultural ethical challenges. Following these, the other barrier categories were administrative, organizational, regulatory, and practitioner-related. The economic barrier was identified to be the least important among all the barrier categories.

CONCLUSION

This is among the first studies to look into the reported impediments to eHealth adoption in India in-depth and categorize and prioritize them. This study contributes to our understanding of eHealth obstacle identification, categorization, and prioritisation, and explains why, even though eHealth was first described in India in 2005 and globally in 1999, there are still barriers to eHealth adoption in India.

Non-utilization of public healthcare facilities during sickness: a national study in India

Aims

Healthcare utilization is a major challenge for low- and middle-income countries, especially for the publicly funded facilities. The study has tried to explore the women’s opinion behind the non-utilization of public healthcare facilities in India.

Subjects and methods

This was a cross-sectional study using nationally representative samples of 351,625 women of reproductive age (15–49 years) from the 29 States and seven Union Territories. Indian National Family Health Surveys NFHS-4 (2015–2016) was the data source. The respondents were asked why the members of their households do not utilize public healthcare facilities when members of their households are sick. They have options to respond either ‘yes’ or ‘no’. Five reasons for non-utilization of public healthcare were asked: (i) ‘there is no nearby facility’; (ii) ‘facility timing is not convenient’; (iii) ‘health personnel are often absent’; (iv) ‘waiting time is too long’; and (v) ‘poor quality of care’.

Results

The majority of the women in India (88%) said that their family members did not use public healthcare facilities. The reasons behind this were 'no nearby facilities' (42.4%), 'inconvenient facility timing' (29.6%), 'poor quality of care' (52.3%), 'health personnel often absent' (16.8%) and 'long waiting time' (39.9%).

Conclusions

importantly, during the last 10 years, the utilization of public health care facilities has dropped significantly, which should be taken seriously as the Indian Parliament has been placing emphasis on equity.

National Methodological Guidelines to Conduct Budget Impact Analysis for Health Technology Assessment in India

OBJECTIVE

Our paper aims to present Budget Impact Analysis (BIA) guidelines for health technology assessment (HTA) in India.

METHODOLOGY

A Systematic Literature Review (SLR) was conducted to retrieve information on existing BIA guidelines internationally. The initial set of principles for India were put together based on an interactive process between authors, taking into consideration the existing evidence on BIA and features of Indian healthcare system. These were reviewed by Technical Appraisal Committee (TAC) of Health Technology Assessment in India (HTAIn) for their inputs. Three rounds of consultations were held before finalising the guidelines. Finally, user feedback on the draft guidelines was obtained from the policy makers and programme managers involved in the budgeting decisions.

RESULTS

We recommend a payer's perspective, which will include both a multi-payer (depicting the current situation in India) and a single-payer scenario (which reflects a futuristic universal health care situation). A time horizon of 1-4 years is recommended. For estimation of eligible population, a top-down approach is considered appropriate. The future and current mix of interventions should be analysed for different utilisation and coverage patterns. We do not recommend discounting; however, inflation adjustments should be performed. The presentation of results should include total and disaggregated results, segregated year-wise throughout the chosen time horizon, as well as segregated by the type of resources. Deterministic sensitivity analysis and scenario analysis are recommended to address uncertainty.

CONCLUSION

Our recommendations, which are tailored for the Indian healthcare and financing context, aim to promote consistency and transparency in the conduct as well as reporting of the BIA. BIA should be used along with evidence from economic evaluation for decision making, and not as a substitute to evidence on value for money.

Doctor-patient communication and trust in doctors during COVID 19 times-A cross sectional study in Chennai, India

BACKGROUND

The COVID 19 pandemic created a global public health crisis. Physical distancing, masks, personal protective equipment worn by the doctors created difficulties in effective doctor-patient communication.

OBJECTIVES

This study was conducted to assess the difficulties faced by patients in communicating with their doctors due to the COVID 19 preventive measures, and its impact on the trust on their doctors.

METHODS

A cross sectional study of 359 persons attending a tertiary care center in Chennai, sampled in a non-probabilistic manner selected from the outpatient department, wards, and isolation facilities, was conducted using a questionnaire containing items covering three dimensions namely difficulties faced in accessing the health facility, difficulties in doctor-patient communication and trust in the doctors. The data were collected using Google Forms and analyzed using GNU PSPP open-source statistical software version 1.4.0.

RESULTS

More than 60% of the participants complained of difficulty in accessing the health facility. More than 60% had difficulties in communicating with the doctors. There was a high level of trust in doctors among more than 80% of the participants. Comparison of the mean scores revealed that accessibility was a problem across ages, sexes, education and occupation groups. Communication barriers decreased with age and increased with education, but trust increased with age, but reduced with increasing education. Multivariable linear regression analysis revealed that difficulties in communication had a negative impact on trust (β = -0.63, p<0.001) and increasing education had a negative impact on trust (β = -0.42, p = 0.034).

CONCLUSIONS

The COVID 19 pandemic and the preventive strategies such as lock-down, physical distancing, face mask and personal protective equipment created barriers to effective doctor patient communication and led to some compromise in trust in doctors during this time.

Universal Health Coverage in India: Where Rubber Hits the Road?

Poverty and healthcare issues are the most debatable topics today. Developing countries like India have as much as 45% of its population trapped in poverty because of various urgent healthcare needs. Universal health coverage (UHC) is a unique insurance system to provide financial protection to the marginalized groups of the country. It facilitates appropriate and immediate health needs, including required diagnostic, therapeutic and operational costs. However, UHC, a unique plan which focuses on the disadvantaged sections of the society, has some serious lacunae when it comes to its implementation in real life. This includes finances and human resources. Experts are reallocating adequate budgetary expenditure on healthcare issues, and in the meantime, a shortage of skilled health manpower is hunting down the UHC scheme in India. In recent times, different state governments are increasing budget allocation for the health sector. UHC is targeting low-income and poor families, forgetting the affordable and timely healthcare by way of improving services offered at the primary health centers and rapid expansion of the skilled health manpower across the country. UHC needs to focus on health paradigm systems, including improved healthcare-seeking behavior, nutrition, sanitation, potable water, reducing maternal and infant mortality, and dissemination of information of current technology to provide quality health services to the underserved and marginalized population of the country. These changes would symbolize a real way forward toward the immediate fulfillment of UHC goals for India.

The determinants of out-of-pocket health-care expenses for diabetes mellitus patients in India: An examination of a tertiary care government hospital in Delhi

Objective:

To assess the determinants of out-of-pocket (OOP) expenses on diabetes-related treatment incurred in patients attending outpatient clinics in a tertiary care hospital in Delhi, India.

Study Design:

A cross-sectional analysis of baseline data from a quasi-experimental study was conducted over 8 months in 2016 in a major tertiary care hospital in Delhi.

Methods:

The study included 375 diabetes patients up to 65 years of age on treatment for at least a year without significant complications. Data were collected through a patient interview schedule.

Results:

Of the previous six scheduled appointments, at least two missed appointments were seen in 267 (71.2%) patients. The average patient's OOP expenditure on diabetes-related medicines was ₹63.5 a month, a similar amount was spent on traveling to and from health facilities. Sixty-four (17.1%) patients took antidiabetic medication for <85% of the days in the previous 3 months.

Conclusion:

There exists a high burden of missed clinic appointments among diabetes patients in tertiary care government health settings in India. This appears to be related to the high cost in terms of both time and money involved in attending appointments for the modest benefit of a dispensation of a 15-day drug refill. Health policy measures focused on strengthening medication coverage need to explore the balance of costs and benefits when determining the frequency of clinical appointments in these settings.

Artificial Intelligence in Gastrointestinal Endoscopy in a Resource-constrained Setting: A Reality Check

Artificial intelligence (AI) is being increasingly explored in different domains of gastroenterology, particularly in endoscopic image analysis, cancer screening, and prognostication models. It is widely touted to become an integral part of routine endoscopies, considering the bulk of data handled by endoscopists and the complex nature of critical analyses performed. However, the application of AI in endoscopy in resource-constrained settings remains fraught with problems. We conducted an extensive literature review using the PubMed database on articles covering the application of AI in endoscopy and the difficulties encountered in resource-constrained settings. We have tried to summarize in the present review the potential problems that may hinder the application of AI in such settings. Hopefully, this review will enable endoscopists and health policymakers to ponder over these issues before trying to extrapolate the advancements of AI in technically advanced settings to those having constraints at multiple levels.

How to cite this article: Anirvan P, Meher D, Singh SP. Artificial Intelligence in Gastrointestinal Endoscopy in a Resource-constrained Setting: A Reality Check. Euroasian J Hepato-Gastroenterol 2020;10(2): 92–97.

Comprehensive measurement of health system performance at district level in India: Generation of a composite index

There have been limited attempts at measurement of health system performance at decentralized levels in low- and middle-income countries. This study was undertaken to develop a composite indicator to measure health system performance at district level in India. Primary data were collected from 377 public health facilities in 21 districts of Haryana state in India using health facility surveys. In addition, 1700 health care providers and 800 clients visiting health facilities were interviewed. Routine health management information system data at district and state level were also analyzed. These data were used for computing 67 input and process indicators covering six health system building blocks. Indicators were normalized and aggregated to generate domain-specific and overall composite health system performance index (HSPI) for each district. Several sensitivity analyses were performed to assess robustness of results. Overall, Panchkula and Ambala districts were found to be the best performing in the state (with HSPI scores of 0.64 and 0.62 out of 1), while Mewat, Faridabad, and Palwal districts had the poorest performance (with HSPI scores of 0.46, 0.49, and 0.48 out of 1). Significant variation in performance was observed for each health system building block. Sensitivity analyses results showed that study findings were robust to variations in methods of aggregation of indicators. Our study provides a framework and methods to measure health system performance at district level in a comprehensive manner. The composite indicator provides a summary snapshot to benchmark performance, while building block and domain scores provide critical information for programmatic action.

Out-patient coverage: Private sector insurance in India

Background

There has been a growth of 25% in the health insurance business in India during the last few years with the expansion of the private health insurance sector. The share of the private health insurance companies has increased considerably, despite the fact that from the patients' point of view, health insurance is not a good deal.

Aim

To provide information and assess the current status of private sector insurance with regard to out-patient coverage in India.

Materials and Methods

The present review was conducted after doing extensive literature search of peer review journals in Pubmed and various search engines like Google. Data of Indian private health insurance companies was also utilized. No limitation in terms of publication date and language was considered. The main focus of the present review would be on the private health insurance sector with a spotlight on the out-patient coverage and various obstacles faced by the private health insurance sector.

Results

Out-patient (OPD) coverage is one of the important emerging trends in the private sector health insurance. OPD cover assists the insured to claim expenses other than that incurred during hospitalization. However, it is still not a full-fledged offering under health insurance and major insurance companies are providing this cover for an additional premium.

Conclusion

Private is strongly being advocated and receiving growing consideration by our country's policy makers that can deal with alarming health care challenges in India. However, it is not the only option.

Economics of Medical Devices in India

Most of the industrial sectors of India have undergone major changes in the post-liberalization period. During this period, India has become self-reliant in drugs; however, still, 75% of the medical devices are imported in India. According to WHO, almost all devices present in the developing countries have been designed for use in the industrialized countries. With the increase in incidence of non-communicable diseases and decrease in communicable diseases; increase in survival rates and decrease in mortality rates, and increase in ageing population, the healthcare demands have changed in the last decade. In addition to these parameters, aware patients and healthcare professionals, requirement of achieving national targets of healthcare and close proximity to the developed world, is giving a push to the development of indigenous medical device industry. However, the rules and regulations governing medical devices are ambiguous and vague. The Health Ministry of India has notified Medical Devices Rules, 2016, for regulating manufacturing/import/sale/clinical investigation and other related matters concerning medical devices. In addition, the government is funding the start-up industries in medical devices sector. Furthermore, government has taken the initiative of inverted duty structure in India. Also, special med tech zones are being set-up, which will enhance the production at local levels for the local population and will also generate employment for local people.

The effect of consensus on demand for voluntary micro health insurance in rural India

INTRODUCTION

This study deals with examining factors that catalyze demand for community-based micro health insurance (MHI) schemes. We hypothesize that demand for health insurance is a collective decision in the context of informality and poverty. Our hypothesis challenges the classical theory of demand which posits individual expected diminishing utility. We examine factors beyond the traditional exogenous variables.

METHODS

This study uses data collected through a household survey conducted among self-help groups in rural India in the states of Uttar Pradesh and Bihar before the implementation of three community-based MHI schemes. Additional information was extracted from the management information system maintained by the schemes. At the first step, we compared the estimated probability of a household joining the scheme (obtained by applying logistic regression) to the actual uptake. In the next step, we analyzed the role of consensus within groups on demand for health insurance (by applying ordinary least square regressions).

RESULTS

The results of the logistic regressions indicated that exogenous household characteristics could not explain the probability of joining health insurance. We observed that group consensus on several critical issues, such as the price of the insurance, perceptions about exposure to adverse health events, and perceptions of the quality of service of local health care providers, was the important determinant of demand for insurance.

CONCLUSION

Based on the analysis, we reject the null hypothesis that demand is an individual decision at the household level. The analysis upholds the assumption that demand is created through a process of consensus building on perceptions of risk exposure, welfare gains from the insurance, and quality of local health care provision. Success in catalyzing demand for health insurance in the informal sector depends on encouraging group dialog.

Identification of publicly available data sources to inform the conduct of Health Technology Assessment in India

Background: Health technology assessment (HTA) provides a globally-accepted and structured approach to synthesising evidence for cost and clinical effectiveness alongside ethical and equity considerations to inform evidence-based priorities. India is one of the most recent countries to formally commit to institutionalising HTA as an integral component of the heath resource allocation decision-making process. The effective conduct of HTA depends on the availability of reliable data.   Methods: We draw from our experience of collecting, synthesizing, and analysing health-related datasets in India and internationally, to highlight the complex requirements for undertaking HTA, and explore the availability of such data in India. We first outlined each of the core data components required for the conduct of HTA, and their availability in India, drawing attention to where data can be accessed, and different ways in which researchers can overcome the challenges of missing or low quality data. Results: We grouped data into the following categories: clinical efficacy; cost; epidemiology; quality of life; service use/consumption; and equity. We identified numerous large local data sources containing epidemiological information. There was a marked absence of other locally-collected data necessary for informing HTA, particularly data relating to cost, service use, and quality of life. Conclusions: The introduction of HTA into the health policy space in India provides an opportunity to comprehensively assess the availability and quality of health data capture across the country. While epidemiological information is routinely collected across India, other data inputs necessary for HTA are not readily available. This poses a significant bottleneck to the efficient generation and deployment of HTA into the health decision space. Overcoming these data gaps by strengthening the routine collection of comprehensive and verifiable health data will have important implications not only for embedding economic analyses into the priority setting process, but for strengthening the health system as a whole.

Identification of publicly available data sources to inform the conduct of Health Technology Assessment in India

Background: Health technology assessment (HTA) provides a globally-accepted and structured approach to synthesising evidence for cost and clinical effectiveness alongside ethical and equity considerations to inform evidence-based priorities. India is one of the most recent countries to formally commit to institutionalising HTA as an integral component of the heath resource allocation decision-making process. The effective conduct of HTA depends on the availability of reliable data.   Methods: We draw from our experience of collecting, synthesizing, and analysing health-related datasets in India and internationally, to highlight the complex requirements for undertaking HTA, and explore the availability of such data in India. We first outlined each of the core data components required for the conduct of HTA, and their availability in India, drawing attention to where data can be accessed, and different ways in which researchers can overcome the challenges of missing or low quality data. Results: We grouped data into the following categories: clinical efficacy; cost; epidemiology; quality of life; service use/consumption; and equity. We identified numerous large local data sources containing epidemiological information. There was a marked absence of other locally-collected data necessary for informing HTA, particularly data relating to cost, service use, and quality of life. Conclusions: The introduction of HTA into the health policy space in India provides an opportunity to comprehensively assess the availability and quality of health data capture across the country. While epidemiological information is routinely collected across India, other data inputs necessary for HTA are not readily available. This poses a significant bottleneck to the efficient generation and deployment of HTA into the health decision space. Overcoming these data gaps by strengthening the routine collection of comprehensive and verifiable health data will have important implications not only for embedding economic analyses into the priority setting process, but for strengthening the health system as a whole.

Impact of the Elderly on Household Health Expenditure in Bihar and Kerala, India

Ageing in India is leading to an increase in chronic diseases. Given the limited health insurance coverage, this could lead to a variety of economic- and access-related consequences for the households. Against this backdrop, this article aims at examining the impact of the presence of the elderly on household health expenditure, avoidance of treatment, loss of income and use of alternate sources of funding to pay for care. The article uses data from 2004 National Sample Survey Organisation survey on healthcare for two Indian states, namely, Bihar and Kerala. The rate of catastrophic health expenditure (CHE) is found to be higher in Kerala and is associated with a higher proportion of households having elderly members, who, in turn, have higher incidence of chronic disease. While the presence of elderly in the household, incidence of chronic disease and treatment from private sources are linked to CHE, our results suggest that other groups, such as households without elderly, may simply be delaying the economic consequences of paying for healthcare by borrowing. Though the ageing population is leading to increased health expenditure for households due to increased chronic illness, the impact of using private treatment is much less clear.

Measurement of health system performance at district level: A study protocol

Background

Limited efforts have been observed in low and middle income countries to undertake health system performance assessment at district level. Absence of a comprehensive data collection tool and lack of a standardised single summary measure defining overall performance are some of the main problems. Present study has been undertaken to develop a summary composite health system performance index at district level.

Methods

A broad range of indicators covering all six domains as per building block framework were finalized by an expert panel. The domains were classified into twenty sub-domains, with 70 input and process indicators to measure performance. Seven sub-domains for assessing health system outputs and outcomes were identified, with a total of 28 indicators. Districts in Haryana state from north India were selected for the study. Primary and secondary data will be collected from 378 health facilities, district and state health directorate headquarters. Indicators will be normalized, aggregated to generate composite performance index at district level. Domain specific scores will present the quality of individual building block domains in the public health system. Robustness of the results will be checked using sensitivity analysis.

Expected impact for public health:

The study presents a methodology for comprehensive assessment of all health system domains on basis of input, process, output and outcome indicators which has never been reported from India. Generation of this index will help identify policy and implementation areas of concern and point towards potential solutions. Results may also help understand relationships between individual building blocks and their sub-components.

Economics of Palliative and End-of-Life Care in India: A Concept Paper

Only a few studies have assessed the economic outcomes of palliative care in India. The major areas of interest include hospice care, the process and structure of care, symptom management, and palliative chemotherapy compared to best supportive care. At present, there is no definite health-care system followed in India. Medical bankruptcy is common. In situations where patients bear most of the costs, medical decision-making might have significant implications on economics of health care. Game theory might help in deciphering the underlying complexities of decision-making when considered as a two person nonzero sum game. Overall, interdisciplinary communication and cooperation between health economists and palliative care team seem necessary. This will lead to enhanced understanding of the challenges faced by each other and hopefully help develop ways to create meaningful, accurate, and reliable health economic data. These results can then be used as powerful advocacy tools to convince governments to allocate more funds for the cause of palliative care. Eventually, this will save overall costs and avoid unnecessary health-care spending.

Mapping healthcare systems: a policy relevant analytic tool

Background

In the past decade, an international consensus on the value of well-functioning systems has driven considerable health systems research. This research falls into two broad categories. The first provides conceptual frameworks that take complex healthcare systems and create simplified constructs of interactions and functions. The second focuses on granular inputs and outputs. This paper presents a novel translational mapping tool - the University of California, San Francisco mapping tool (the Tool) - which bridges the gap between these two areas of research, creating a platform for multi-country comparative analysis.

Methods

Using the Murray-Frenk framework, we create a macro-level representation of a country's structure, focusing on how it finances and delivers healthcare. The map visually depicts the fundamental policy questions in healthcare system design: funding sources and amount spent through each source, purchasers, populations covered, provider categories; and the relationship between these entities.

Results

We use the Tool to provide a macro-level comparative analysis of the structure of India's and Thailand's healthcare systems.

Conclusions

As part of the systems strengthening arsenal, the Tool can stimulate debate about the merits and consequences of different healthcare systems structural designs, using a common framework that fosters multi-country comparative analyses.

Institutionalising health technology assessment: establishing the Medical Technology Assessment Board in India

India is at crossroads with a commitment by the government to universal health coverage (UHC), driving efficiency and tackling waste across the public healthcare sector. Health technology assessment (HTA) is an important policy reform that can assist policy-makers to tackle inequities and inefficiencies by improving the way in which health resources are allocated towards cost-effective, appropriate and feasible interventions. The equitable and efficient distribution of health budget resources, as well as timely uptake of good value technologies, are critical to strengthen the Indian healthcare system. The government of India is set to establish a Medical Technology Assessment Board to evaluate existing and new health technologies in India, assist choices between comparable technologies for adoption by the healthcare system and improve the way in which priorities for health are set. This initiative aims to introduce a more transparent, inclusive, fair and evidence-based process by which decisions regarding the allocation of health resources are made in India towards the ultimate goal of UHC. In this analysis article, we report on plans and progress of the government of India for the institutionalisation of HTA in the country. Where India is home to one-sixth of the global population, improving the health services that the population receives will have a resounding impact not only for India but also for global health.

Pain Management and Use of Opioids in Pediatric Oncology in India: A Qualitative Approach

PURPOSE

Consumption of medical opium for pain relief in India is low, despite the country being one of the main world producers of the substance. We investigated obstacles to opioid use and physician perceptions about optimal pain management in pediatric oncology patients in India.

METHODS

Semistructured interviews were conducted with oncologists who work in pediatric oncology settings. A mixed sampling strategy was used, including maximum variation and confirmation and disconfirmation of cases, as well as snowball sampling. Key informants were identified. Interviews were audio recorded, transcribed verbatim, and analyzed by thematic analysis methodology.

RESULTS

Twenty-three interviews were performed across 20 Indian institutions. The main obstacles identified were lack of financial resources, inadequate education of health care providers on pain management, insufficient human resources (particularly lack of dedicated trained oncology nurses), poor access to opioids, and cultural perceptions about pain. Children from rural areas, treated in public hospitals, and from lower socioeconomic classes appear disadvantaged. A significant equality gap exists between public institutions and private institutions, which provide state-of-the-art treatment.

CONCLUSION

The study illuminates the complexity of pain management in pediatric oncology in India, where financial constraints, lack of education, and poor access to opioids play a dominant role, but lack of awareness and cultural perceptions about pain management among health care providers and parents emerged as important contributing factors. Urgent interventions are needed to optimize care in this vulnerable population.

Out of pocket expenditure on surgical and nonsurgical conditions in Odisha

Background:

Out of pocket expenditure (OOPE) for any illness is still a major problem in India. Several evidence is available regarding growing OOPE and its impact on household poverty. However, limited evidence is there regarding OOPE on multiple disease conditions in public hospitals.

Aim:

To estimate the OOPE for various hospitalized conditions at the secondary level of care in Odisha and find out various financial coping mechanisms adopted by the patients.

Methods:

The primary survey was done in the secondary care hospitals in the two districts of Odisha using a semi-structured interview schedule. Data were collected from 284 subjects (212 males, 72 females) in 2014 on the socioeconomic status and OOPE on multiple disease conditions. Descriptive statistics using Stata Version 11 were used to estimate the results.

Results:

The mean total OOPE was Indian Rupees (INR) 2107 (95% confidence interval [CI]: 1788–2426) for single episode of hospitalization out of which medical expenditure was INR 1530 (95% CI: 1238–1821) and nonmedical expenditure was INR 577 (95% CI: 501–653). The OOPE on surgical conditions was 1.7 times more than the nonsurgical conditions. Drugs and diagnostics were the major components of hospital expenditure, whereas the share of transportation expenditure was more in the nonmedical expenditure. Further, most of the patients had to face hardship financing due to limited financial protection measures.

Conclusions:

With the growing debate on the rolling out of universal health insurance scheme in India, this study assumes significance by providing critical information for designing public financing strategies to protect the interest of the poor in public health care institutions.

Below the poverty line and non-communicable diseases in Kerala: The Epidemiology of Non-communicable Diseases in Rural Areas (ENDIRA) study

INTRODUCTION

India carries the greatest burden of global non-communicable diseases (NCDs). Poverty is strongly associated with NCDs but there are few prevalence studies which have measured poverty in India, particularly in rural settings.

METHODS

In Kerala, India, a population of 113,462 individuals was identified. The "Epidemiology of Non-communicable Diseases in Rural Areas" (ENDIRA) study was conducted via ASHAs (Accredited Social Health Activists). Standardised questionnaires were used in household interviews of individuals ≥18years during 2012 to gather sociodemographic, lifestyle and medical data for this population. The Government of Kerala definition of "the poverty line" was used. The association between below poverty line (BPL) status, NCDs and risk factors was analysed in multivariable regression models.

RESULTS

84,456 adults were included in the analyses (25.4% below the poverty line). The prevalence of NCDs was relatively common: myocardial infarction (MI) 1.4%, stroke 0.3%, respiratory diseases 5.0%, and cancer 1.1%. BPL status was not associated with age (p=0.96) or gender (p=0.26). Compared with those above the poverty line (APL), the BPL group was less likely to have diabetes, hypertension or dyslipidaemia (p<0.0001), and more likely to smoke (p<0.0001). Compared with APL, BPL was associated with stroke (OR 1.33, 1.04-1.69; p=0.02) and respiratory disease (OR 1.23, 1.15-1.32; p<0.0001) in multivariable analyses, but not MI or cancer.

CONCLUSIONS

In rural Kerala, BPL status was associated with stroke and respiratory diseases, but not with MI and cancer although it was associated with smoking status, compared with above poverty line status.

Health service use, out-of-pocket payments and catastrophic health expenditure among older people in India: the WHO Study on global AGEing and adult health (SAGE)

BACKGROUND

Healthcare financing through out-of-pocket payments and inequities in healthcare utilisation are common in low and middle income countries (LMICs). Given the dearth of pertinent studies on these issues among older people in LMICs, we investigated the determinants of health service use, out-of-pocket and catastrophic health expenditures among older people in one LMIC, India.

METHODS

We accessed data from a nationally representative, multistage sample of 2414 people aged 65 years and older from the WHO's Study on global AGEing and adult health in India. Sociodemographic characteristics, health profiles, health service utilisation and out-of-pocket health expenditure were assessed using standard instruments. Multivariate zero-inflated negative binomial regression models were used to evaluate the determinants of health service visits. Multivariate Heckman sample selection regression models were used to assess the determinants of out-of-pocket and catastrophic health expenditures.

RESULTS

Out-of-pocket health expenditures were higher among participants with disability and lower income. Diabetes, hypertension, chronic pulmonary disease, heart disease and tuberculosis increased the number of health visits and out-of-pocket health expenditures. The prevalence of catastrophic health expenditure among older people in India was 7% (95% CI 6% to 8%). Older men and individuals with chronic diseases were at higher risk of catastrophic health expenditure, while access to health insurance lowered the risk.

CONCLUSIONS

Reducing out-of-pocket health expenditure among older people is an important public health issue, in which social as well as medical determinants should be prioritised. Enhanced public health sector performance and provision of publicly funded insurance may protect against catastrophic health expenses and healthcare inequities in India.

Pilot evaluation of an integrated monitor-adhesive patch for long-term cardiac arrhythmia detection in India

Electrocardiographic monitoring represents one of the most reliable and time-tested methods for reducing ambiguity in cardiac arrhythmia diagnosis. In India, the resting ECG is generally the first tool of choice for in-clinic diagnosis. The external loop recorder (ELR) is another useful tool that compounds the advantages of traditional tools by coupling ambulatory monitoring with a long-term window. Thus, the objective was to test the use of a 7-day ELR for arrhythmia diagnosis in India for a broad range of presenting symptoms. In this study set in the Indian healthcare environment, an auto-triggered, wireless patch-type ELR was used with 125 patients (62.5 ± 16.7 years, 76 males) presenting a broad range of symptoms. Eighty percent of the symptoms were related to syncope, presyncope or palpitations. Patients were administered an ELR for 7-28 days depending on the physician's prescription. Prespecified significant arrhythmias included sinus pause >2 s, symptomatic bradycardia <40 b.p.m., second-degree (and higher) AV block, complete heart block, ventricular fibrillation, sustained/nonsustained ventricular tachycardia (>3 beats), atrial fibrillation (chronic or paroxysmal), atrial flutter and supraventricular tachycardia (SVT) >130 b.p.m. Diagnostic yield was 38% when a stringent tabulation methodology considering only clinically significant arrhythmia was used. When first-degree AV block, premature atrial and ventricular beats, couplets (both atrial and ventricular in origin), bigeminy or trigeminy, or sudden changes in rate (noted as sinus arrhythmia) were included in the calculation, diagnostic yield was 80%. Patient compliance was 98%; patients wore the patch for the entire prescribed monitoring period without disruption. Seventy percent of the reported symptoms corresponded with an arrhythmia. Use of the ELR led to therapy change in 24% of patients: 15 patients went on to receive an implantable cardioverter defibrillator or pacemaker, 4 received ablation therapy and 11 altered their medication after diagnosis. This study demonstrates that a high diagnostic yield for clinically significant arrhythmias and high patient compliance can be achieved with a wearable patch monitor in Indian patients suffering from a variety of symptoms.

Universal health coverage for India by 2022: a utopia or reality?

It is the obligation of the state to provide free and universal access to quality health-care services to its citizens. India continues to be among the countries of the world that have a high burden of diseases. The various health program and policies in the past have not been able to achieve the desired goals and objectives. 65(th) World Health Assembly in Geneva identified universal health coverage (UHC) as the key imperative for all countries to consolidate the public health advances. Accordingly, Planning Commission of India constituted a high level expert group (HLEG) on UHC in October 2010. HLEG submitted its report in Nov 2011 to Planning Commission on UHC for India by 2022. The recommendations for the provision of UHC pertain to the critical areas such as health financing, health infrastructure, health services norms, skilled human resources, access to medicines and vaccines, management and institutional reforms, and community participation. India faces enormous challenges to achieve UHC by 2022 such as high disease prevalence, issues of gender equality, unregulated and fragmented health-care delivery system, non-availability of adequate skilled human resource, vast social determinants of health, inadequate finances, lack of inter-sectoral co-ordination and various political pull and push of different forces, and interests. These challenges can be met by a paradigm shift in health policies and programs in favor of vulnerable population groups, restructuring of public health cadres, reorientation of undergraduate medical education, more emphasis on public health research, and extensive education campaigns. There are still areas of concern in fulfilling the objectives of achieving UHC by 2022 regarding financing model for health-care delivery, entitlement package, cost of health-care interventions and declining state budgets. However, the Government's commitment to provide adequate finances, recent bold social policy initiatives and enactments such as food security bill, enhanced participation by civil society in all health matters, major initiative by some states such as Tamil Nadu to improve health, water, and sanitation services are good enough reasons for hope that UHC can be achieved by 2022. However, in the absence of sustained financial support, strong political will and leadership, dedicated involvement of all stakeholders and community participation, attainment of UHC by 2022 will remain a Utopia.