Examining the factors contributing to a reduction in hardship financing among inpatient households in India

In India, the rising double burden of diseases and the low fiscal capacity of the government forces people to resort to hardship financing. This study aimed to examine the factors contributing to the reduction in hardship financing among inpatient households in India. The study relies on two rounds of National Sample Surveys with a sample of 34,478 households from the 71st round (2014) and 56,681 households from the 75th round (2018). We employed multivariable logistic regression and multivariate decomposition analyses to explore the factors associated with hardship financing in Indian households with hospitalized member(s) and assess the contributing factors to the reduction in hardship financing between 2014 and 2018. Notably, though hardship financing for inpatient households has decreased between 2014 and 2018, households with catastrophic health expenditure (CHE) had higher odds of hardship financing than those without CHE. While factors such as CHE, prolonged hospitalization, and private hospitals had impoverishing effects on hardship financing in 2014 and 2018, the decomposition model showed the potential of CHE (32%), length of hospitalization (32%), and private hospitals (24%) to slow down this negative impact over time. The findings showed the potential for further improvements in financial health protection for inpatient care over time, and underscore the need for continuing efforts to strengthen the implementation of public programs and schemes in India such as Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PMJAY).

Wealth inequalities in nutritional status among the tribal under-5 children in India: A temporal trend analysis using NFHS data of Jharkhand and Odisha states - 2006-21

Background

Undernutrition remains a major public health concern in India, especially among children belonging to the Scheduled Tribes (ST). In this study, we analyse wealth inequalities in nutritional outcomes within ST communities in two tribal-dominated states of India, namely, Odisha and Jharkhand. The study also compares the trends in nutrition outcomes between ST and Non-ST children in these states.

Methods

We have conducted a trend analysis of the prevalence and inequalities in the nutritional indicators among ST children under age five using unit-level data of the National Family Health Survey (NFHS) [NFHS-3(2005-06),4 (2015-16) and 5(2019-2021)]. Wealth-related inequalities were analysed using the Slope Index of Inequality (SII), which measures absolute inequality, and the relative Concentration Index (CIX), which measures relative inequality. We have also analysed the correlation between Antenatal Care (ANC) visits and nutritional indicators using the Pearson Correlation test.

Results

The trend analysis shows that the prevalence of undernutrition remains higher among ST children in India as compared to Non-ST children between NFHS-3 (2005-06) and NFHS-5 (2019-2020) in Jharkhand and Odisha. The SII and CIX values show that statistically significant inequalities in stunting and underweight exist among children belonging to various wealth quintiles within the ST category in both states. Wasting is found to be significantly prevalent across all wealth quintiles. Also, we found a negative association between ANC visits and all three nutritional indicators.

Interpretation

Our study highlights the importance of monitoring both the absolute and relative wealth inequalities in nutritional outcomes. This is due to the fact that while inequalities across groups may reduce, the prevalence of poor nutritional outcomes may increase among certain groups. Such observations, therefore, will enable policymakers to focus further on those groups and devise appropriate interventions.

Illnesses and hardship financing in India: an evaluation of inpatient and outpatient cases, 2014-18

BACKGROUND

Progress towards universal health coverage requires strengthening the country's health system. In developing countries, the increasing disease burden puts a lot of stress on scarce household finances. However, this burden is not the same for everyone. The economic burden varies across the disease groups and care levels. Government intervention is vital in formulating policies in addressing financial distress at the household level. In India, even when outpatient care forms a significant proportion of out-of-pocket expenditure, government schemes focus on reducing household expenditure on inpatient care alone. Thus, people resort to hardship financing practices like informal borrowing or selling of assets in the event of health shocks. In this context, the present study aims to identify the disease(s) that correlates with maximum hardship financing for outpatients and inpatients and to understand the change in hardship financing over time.

METHODS

We used two waves of National Sample Survey Organisation's data on social consumption on health- the 71^st and the 75^th rounds. Descriptive statistics are reported, and logistic regression is carried out to explain the adjusted impact of illness on hardship financing. Pooled logistic regression of the two rounds is estimated for inpatients and outpatients. Marginal effects are reported to study the changes in hardship financing over time.

RESULTS

The results suggest that cancer had the maximum likelihood of causing hardship financing in India for both inpatients (Odds ratio 2.41; 95% Confidence Interval (CI): 2.03 - 2.86 (71^st round), 2.54; 95% CI: 2.21 - 2.93 (75^th round)) and outpatients (Odds ratio 6.11; 95% CI: 2.95 - 12.64 (71^st round), 3.07; 95% CI: 2.14 - 4.40 (75^th round)). In 2018, for outpatients, the hardship financing for health care needs was higher at public health facilities, compared to private health facilities (Odds ratio 0.72; 95% CI: 0.62 - 0.83 (75^th round). The marginal effects model of pooled cross-section analysis reveals that from 2014 to 2018, the hardship financing had decreased for inpatients (Odds ratio 0.747; 95% CI:0.80 - -0.70), whereas it had increased for outpatients (Odds ratio 0.0126; 95% CI: 0.01 - 0.02). Our results also show that the likelihood of resorting to hardship financing for illness among women was lesser than that of men.

CONCLUSION

Government intervention is quintessential to decrease the hardship financing caused by cancer. The intra-household inequalities play an important role in explaining their hardship financing strategies. We suggest the need for more financial risk protection for outpatient care to address hardship financing.

Innovations in Primary Healthcare: A Review of Initiatives to Promote Maternal Health in Tamil Nadu

One of the key factors that has helped the state of Tamil Nadu to make significant progress in the health sector, especially in maternal health, is an enabling political environment in the state that has prioritised programmes for the welfare of women and children, irrespective of the party in power. This article reviews 10 key innovations in maternal health and tribal health introduced in the state of Tamil Nadu from 2005–2006 to 2020–2021. The specific questions addressed are as follows: what are the special innovative schemes introduced by the state of Tamil Nadu to promote maternal health? Whether and to what extent utilisation of public delivery system for maternal services has increased over the past 15 years or so?

The overall impact of these initiatives on the maternal health of the state is assessed by analysing two indicators: trends in maternal mortality ratio (MMR) and financial burden due to delivery in public and private facilities. MMR in the state of Tamil Nadu is steadily falling—from 111 in 2004–2006 to 60 in 2016–2018. While average out-of-pocket expenditure (OOPE) during delivery in the public sector has increased from ₹2,454 in 2014 to ₹3,465 in 2017–2018, in the private sector, it has increased from ₹32,182 in 2014 to ₹34,635 in 2017–2018. OOPE in private facilities is nearly ten times higher than OOPE in public facilities, in both rural and urban areas. While the overall status of maternal health has improved significantly in the state, there are wide variations within and across districts. However, significant improvements in the overall health status can be achieved only if such inequities are reduced systematically, and efforts are being made to reduce such inequities.

Horizontal inequity in the utilisation of Continuum of Maternal Health care Services (CMHS) in India: an investigation of ten years of National Rural Health Mission (NRHM)

BACKGROUND

Continuum of Maternal Health Care Services (CMHS) has garnered attention in recent times and reducing socio-economic disparity and geographical variations in its utilisation becomes crucial from an egalitarian perspective. In this study, we estimate inequity in the utilisation of CMHS in India between 2005 and 06 and 2015-16.

METHODS

We used two rounds of National Family Health Survey (NFHS) - 2005-06 and 2015-16 encompassing a sample size of 34,560 and 178,857 pregnant women respectively. The magnitude of horizontal inequities (HI) in the utilisation of CMHS was captured by adopting the Erreygers Corrected Concentration indices method. Need-based standardisation was conducted to disentangle the variations in the utilisation of CMHS across different wealth quintiles and state groups.  Further, a decomposition analysis was undertaken to enumerate the contribution of legitimate and illegitimate factors towards health inequity.

RESULTS

The study indicates that the pro-rich inequity in the utilisation of CMHS has increased by around 2 percentage points since the implementation of National Rural Health Mission (NRHM), where illegitimate factors are dominant. Decomposition analysis reveals that the contribution of access related barriers plummeted in the considered period of time. The results also indicate that mother's education and access to media continue to remain major contributors of pro-rich inequity in India. Considering, regional variations, it is found that the percentage of pro-rich inequity in high focus group states increased by around 3% between 2005 and 06 and 2015-16. The performance of southern states of India is commendable.

CONCLUSIONS

Our study concludes that there exists a pro-rich inequity in the utilisation of CMHS with marked variations across state boundaries. The pro-rich inequity in India has increased between 2005 and 06 and high focus group states suffered predominantly. Decentralisation of healthcare policies and  granting greater power to the states might lead to equitable distribution of CMHS.

Level of inequality and the role of governance indicators in the coverage of reproductive maternal and child healthcare services: Findings from India

BACKGROUND

Diligent monitoring of inequalities in the coverage of essential reproductive, maternal, new-born and child health related (RMNCH) services becomes imperative to smoothen the journey towards Sustainable Development Goals (SDGs). In this study, we aim to measure the magnitude of inequalities in the coverage of RMNCH services. We also made an attempt to divulge the relationship between the various themes of governance and RMNCH indices.

METHODS

We used National Family Health Survey dataset (2015-16) and Public Affairs Index (PAI), 2016 for the analysis. Two summative indices, namely Composite Coverage Index (CCI) and Co-Coverage (Co-Cov) indicator were constructed to measure the RMNCH coverage. Slope Index of Inequality (SII) and Relative Index of Inequality (RII) were employed to measure inequality in the distribution of coverage of RMNCH. In addition, we have used Spearman's rank correlation matrix to glean the association between governance indicator and coverage indices.

RESULTS & CONCLUSIONS

Our study indicates an erratic distribution in the coverage of CCI and Co-Cov across wealth quintiles and state groups. We found that the distribution of RII values for Punjab, Tamil Nadu, and West Bengal hovered around 1. Whereas, RII values for Haryana was 2.01 indicating maximum inequality across wealth quintiles. Furthermore, the essential interventions like adequate antenatal care services (ANC4) and skilled birth attendants (SBA) were the most inequitable interventions, while tetanus toxoid and Bacilli Calmette- Guerin (BCG) were least inequitable. The Spearman's rank correlation matrix demonstrated a strong and positive correlation between governance indicators and coverage indices.

Supply-side Readiness for Universal Health Coverage: Assessing Service Availability and Barriers in Remote and Fragile Setting

The study was conducted to a) Evaluate the service readiness and b) Ascertain supply side barriers inhibiting service provisioning in rural, remote and fragile district in India. We employed a mixed method study design encompassing Service Provisioning Assessment of entire network of public health facilities using Service Availability and Readiness Assessment (SARA) module of WHO in conjunction with Indian Public Health Standards Guidelines (IPHS). Qualitative information was collected via Field Observations, Key informant interviews and Focus group discussion with stakeholders ranging from leaders to laggards. A concise index of General Service Availability, Service Specific Availability and Facility Readiness was computed along with exploratory data analysis using Principal Component Analysis. Further, determinants of facility readiness were elucidated using Generalized Ordinal Logistic Model. Qualitative findings were analyzed via content analysis. Results indicated poorest readiness in lower-tier facilities with particularly abysmal readiness for basic amenities, diagnostic capacity and preparedness for emergencies and non-communicable diseases. The estimates for logistic model revealed that degree of vulnerability of facilities, type of facility and frequency of monitoring and supervision significantly impacted the readiness. Qualitative analysis divulged lack of incentives for health workers, political interference, topographical constraints and security disruptions as major barriers stymieing service provisioning in study area.

Inequity in health care utilization for common childhood illnesses in India: measurement and decomposition analysis using the India demographic and health survey 2015-16

BACKGROUND

Though child mortality has dropped remarkably, it is considerably high in South Asia. Across the globe, 5.2 million children under 5 years of age died in 2019, and India accounts for a significant portion of these deaths. Common childhood illnesses are the leading cause of these deaths. Seeking care from formal providers can reduce these avoidable deaths. Inequity is a crucial blockage in optimum utilization of medical treatment for children. Hence, the present study analyzes the inequalities and horizontal inequities in utilizing the medical treatment for diarrhea, fever, acute respiratory infection (ARI), and any of these common childhood illnesses in India and across the Indian states. The study also attempts to locate significant contributors to these inequalities.

METHODS

The study used 0 to 59 months children's data sourced from the Demographic and Health Survey, India (2015-16). Concentration Index (CI) and Erreygers Corrected Concentration Index (EI) were used to measure the inequalities. The Horizontal Inequity Index (HII) was deployed to estimate inequity. The decomposition method introduced by Erreygers was applied to determine the significant contributors of inequalities.

RESULTS

The EI in medical treatment-seeking for common childhood illnesses was 0.16, while the HII was 0.15. The highest inequality was perceived in the utilization of medical treatment for ARI (0.17). The primary contributing factors of these inequalities were continuum of maternal care (18.7%), media exposure (12%), affordability (9.3%), place of residence (9.1%), mother's education (8.5%), and state groups (8.8%). The North-Eastern states showed the highest level of inequality across the Indian states.

CONCLUSION

The study reveals that the horizontal inequity in medical treatment utilization for children in India is pro-rich. The findings of the study suggest that attuning the efforts of existing maternal and child health programs into one seamless chain of care can bring the inequalities down and improve the utilization of child health care services. The spread of health education through different media sources, reaching out to rural and remote places with adequate health personnel, and easing out the financial hardship in accessing medical treatment could be the cornerstone in accelerating the utilization level amongst the impoverished children.

Assessing the household economic burden of non-communicable diseases in India: evidence from repeated cross-sectional surveys

BACKGROUND

Financing for NCDs is encumbered by out-of-pocket expenditure (OOPE) assuming catastrophic proportions. Therefore, it is imperative to investigate the extent of catastrophic health expenditure (CHE) on NCDs, which are burgeoning in India. Thus, our paper aims to examine the extent of CHE and impoverishment in India, in conjunction with socio-economic determinants impacting the CHE.

METHODS

We used cross-sectional data from nationwide healthcare surveys conducted in 2014 and 2017-18. OOPE on both outpatient and inpatient treatment was coalesced to estimate CHE on NCDs. Incidence of CHE was defined as proportion of households with OOPE exceeding 10% of household expenditure. Intensity of catastrophe was ascertained by the measure of Overshoot and Mean Positive Overshoot Indices. Further, impoverishing effects of OOPE were assessed by computing Poverty Headcount Ratio and Poverty Gap Index using India's official poverty line. Concomitantly, we estimated the inequality in incidence and intensity of catastrophic payments using Concentration Indices. Additionally, we delineated the factors associated with catastrophic expenditure using Multinomial Logistic Regression.

RESULTS

Results indicated enormous incidence of CHE with around two-third households with NCDs facing CHE. Incidence of CHE was concentrated amongst poor that further extended from 2014(CI = - 0.027) to 2017-18(CI = - 0.065). Intensity of CHE was colossal as households spent 42.8 and 34.9% beyond threshold in 2014 and 2017-18 respectively with poor enduring greater overshoot vis-à-vis rich (CI = - 0.18 in 2014 and CI = - 0.23 in 2017-18). Significant immiserating impact of NCDs was unraveled as one-twelfth in 2014 and one-eighth households in 2017-18 with NCD burden were pushed to poverty with poverty deepening effect to the magnitude of 27.7 and 30.1% among those already below poverty on account of NCDs in 2014 and 2017-18 respectively. Further, large inter-state heterogeneities in extent of CHE and impoverishment were found and multivariate analysis indicated absence of insurance cover, visiting private providers, residing in rural areas and belonging to poorest expenditure quintile were associated with increased likelihood of incurring CHE.

CONCLUSION

Substantial proportion of households face CHE and subsequent impoverishment due to NCD related expenses. Concerted efforts are required to augment the financial risk protection to the households, especially in regions with higher burden of NCDs.

Healthy aging in India: evidence from a panel study

Purpose

Recent public health policy emphasizes the achievement of healthy aging as average life expectancy increases worldwide. Evidence for healthy aging from low- and middle-income countries (LMIC) is limited. The purpose of this paper is to assess the prospects of healthy aging and its associated factors in the Indian context.

Design/methodology/approach

The study was based on a national-level panel survey, the Indian Human Development Survey (IHDS) conducted in 2004-05 and 2011-12. The analytical sample consists of 10,218 elderly individuals who were 60 years old and above at the baseline. Change in health status was assessed based on disability and disease incidence at the follow-up. A generalized estimating equation (GEE) model was performed to assess health status change.

Findings

Increasing age was a risk factor for all dimensions of health outcomes. Elderly from the lowest wealth quintiles were more likely to lose health due to short-term morbidity, whereas the highest wealth quintiles were more likely to lose health due to long-term and multi-morbidity, indicating evidence for the presence of the “disease of affluence”. Social capital, such as living in a joint family acted as a protective factor against health risks.

Originality/value

With the results showing the evidence of the “disease of affluence” and “disease of poverty” in different health outcomes, there should be a health policy focus that copes with undergoing epidemiological transition. It is also important to pay attention to health-protecting factors such as social and familial support to achieve healthy aging.

Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data

BACKGROUND

Health outcomes in India are characterized by pervasive inequities due to deeply entrenched socio-economic gradients amongst the population. Therefore, it is imperative to investigate these systematic disparities in health, however, evidence of inequities does not commensurate with its policy objectives in India. Thus, our paper aims to examine the magnitude of and trends in horizontal inequities in self-reported morbidity and untreated morbidity in India over the period of 2004 to 2017-18.

METHODS

The study used cross-sectional data from nationwide healthcare surveys conducted in 2004, 2014 and 2017-18 encompassing sample size of 3,85,055; 3,35,499 and 5,57,887 individuals respectively. Erreygers concentration indices were employed to discern the magnitude and trend in horizontal inequities in self-reported morbidity and untreated morbidity. Need standardized concentration indices were further used to unravel the inter-regional and intra-regional income related inequities in outcomes of interest. Additionally, regression based decomposition approach was applied to ascertain the contributions of both legitimate and illegitimate factors in the measured inequalities.

RESULTS

Estimates were indicative of profound inequities in self-reported morbidity as inequity indices were positive and significant for all study years, connoting better-off reporting more morbidity, given their needs. These inequities however, declined marginally from 2004(HI: 0.049, p< 0.01) to 2017-18(HI: 0.045, P< 0.01). Untreated morbidity exhibited pro-poor inequities with negative concentration indices. Albeit, significant reduction in horizontal inequity was found from 2004(HI= - 0.103, p< 0.01) to 2017-18(HI = - 0.048, p< 0.01) in treatment seeking over the years. The largest contribution of inequality for both outcomes stemmed from illegitimate variables in all the study years. Our findings also elucidated inter-state heterogeneities in inequities with high-income states like Andhra Pradesh, Kerala and West Bengal evincing inequities greater than all India estimates and Northeastern states divulged equity in reporting morbidity. Inequities in untreated morbidity converged for most states except in Punjab, Chhattisgarh and Himachal Pradesh where widening of inequities were observed from 2004 to 2017-18.

CONCLUSIONS

Pro-rich and pro-poor inequities in reported and untreated morbidities respectively persisted from 2004 to 2017-18 despite reforms in Indian healthcare. Magnitude of these inequities declined marginally over the years. Health policy in India should strive for targeted interventions closing inequity gap.

Geographical accessibility and spatial coverage modelling of public health care network in rural and remote India

Background

Long distances to facilities, topographical constraints, inadequate service capacity of institutions and insufficient/ rudimentary road & transportation network culminate into unprecedented barriers to access. These barriers gets exacerbated in presence of external factors like conflict and political disruptions. Thus, this study was conducted in rural, remote and fragile region in India measuring geographical accessibility and modelling spatial coverage of public healthcare network.

Methods

Vector and raster based approaches were used to discern accessibility for various packages of service delivery. Alternative scenarios derived from local experiences were modelled using health facility, population and ancillary data. Based on that, a raster surface of travel time between facilities and population was developed by incorporating terrain, physical barriers, topography and travelling modes and speeds through various land-cover classes. Concomitantly, spatial coverage was modelled to delineate catchment areas. Further, underserved population and zonal statistics were assessed in an interactive modelling approach to ascertain spatial relationship between population, travel time and zonal boundaries. Finally, raster surface of travel time was re-modelled for the conflict situation in villages vulnerable to obstruction of access due to disturbed security scenario.

Results

Euclidean buffers revealed 11% villages without ambulatory & immunization care within 2 km radius. Similarly, for 5 km radius, 11% and 12% villages were bereft of delivery and inpatient care. Travel time accessibility analysis divulged walking scenario exhibiting lowest level of accessibility. Enabling motorized travel improved accessibility measures, with highest degree of accessibility for privately owned vehicle (motorcycle and cars). Differential results were found between packages of services where ambulatory & immunization care was relatively accessible by walking; whereas, delivery and inpatient care had a staggering average of three hours walking time. Even with best scenario, around 2/3rd population remained unserved for all package of services. Moreover, 90% villages in conflict zone grapples with inaccessibility when the scenario of heightened border tensions was considered.

Conclusions

Our study demonstrated the application of GIS technique to facilitate evidence backed planning at granular level. Regardless of the scenario, the analysis divulged inaccessibility to delivery and inpatient care to be most pronounced and majority of population to be unserved. It was suggested to have concerted efforts to bolster already existing facilities and adapt systems approach to exploit synergies of inter-sectoral development.

Capacity-need gap in hospital resources for varying mitigation and containment strategies in India in the face of COVID-19 pandemic

BACKGROUND

Due to uncertainties encompassing the transmission dynamics of COVID-19, mathematical models informing the trajectory of disease are being proposed throughout the world. Current pandemic is also characterized by surge in hospitalizations which has overwhelmed even the most resilient health systems. Therefore, it is imperative to assess health system preparedness in tandem with need projections for comprehensive outlook.

OBJECTIVE

We attempted this study to forecast the need for hospital resources for one year period and correspondingly assessed capacity and tipping points of Indian health system to absorb surges in need due to COVID-19.

METHODS

We employed age-structured deterministic SEIR model and modified it to allow for testing and isolation capacity to forecast the need under varying scenarios. Projections for documented cases were made for varying degree of containment and mitigation strategies. Correspondingly, data on health resources was collated from various government records. Further, we computed daily turnover of each of these resources which was then adjusted for proportion of cases requiring mild, severe and critical care to arrive at maximum number of COVID-19 cases manageable by health care system of India.

FINDINGS

Our results revealed pervasive deficits in the capacity of public health system to absorb surge in need during peak of epidemic. Also, model suggests that continuing strict lockdown measures in India after mid-May 2020 would have been ineffective in suppressing total infections significantly. Augmenting testing to 1,500,000 tests per day during projected peak (mid-September) under social-distancing measures and current test to positive rate of 9.7% would lead to more documented cases (60, 000, 000 to 90, 000, 000) culminating to surge in demand for hospital resources. A minimum allocation of 13x, 70x and 37x times more beds for mild cases, ICU beds and mechanical ventilators respectively would be required to commensurate with need under that scenario. However, if testing capacity is limited to 9,000,000 tests per day (current situation as of 19th August 2020) under continued social-distancing measures, documented cases would plummet significantly, still requiring 5x, 31x and 16x times the current allocated resources (beds for mild cases, ICU beds and mechanical ventilators respectively) to meet unmet need for COVID-19 treatment in India.

Impact of macro-fiscal determinants on health financing: empirical evidence from low-and middle-income countries

Background

Health financing is a major challenge in low-and middle-income counties (LMICs) for achieving Universal Health Coverage (UHC). Past studies have argued that the budgetary allocation on health financing depends on macro-fiscal policies of an economy such as sustained economic growth and higher revenue mobilization. While the global financial crisis of late 2008 observed a shortage of financial resources in richer countries and adversely affected the health sector. Therefore, this study has examined the impact of macro-fiscal policies on health financing by adopting socioeconomic factors in 85 LMICs for the period 2000 to 2013.

Methods

The study has employed the panel System Generalized Method of Moment model that captures the endogeneity problem in the regression estimation by adopting appropriate instrumental variables.

Results

The elasticity of public health expenditure (PHE) with respect to macro-fiscal factors varies across LMICs. Tax revenue shows a positive and statistically significant relationship with PHE in full sample, pre-global financial crisis, middle-income, and coefficient value varies from 0.040 to 0.141%. Fiscal deficit and debt services payment shows a negative effect on PHE in full sample, as well as sub-samples and coefficient value, varies from 0.001 to 0.032%. Aging and per capita income show an expected positive relationship with PHE in LIMI countries.

Conclusions

Favorable macro-fiscal policies would necessarily raise finance for the health sector development but the prioritization of health budget allocation during the crisis period depends on the nature of tax revenue mobilization and demand for health services. Therefore, the generation of health-specific revenues and effective usage of health budget would probably accelerate the progress towards the achievement of UHC.

Electronic supplementary material

The online version of this article (10.1186/s41256-019-0112-4) contains supplementary material, which is available to authorized users.

Performance of CEmONC Centres in Public Hospitals of Tamil Nadu

This case study examines the performance of public hospitals in Tamil Nadu in delivering emergency obstetric care services over a period of 8 years as well as to investigate from provider’s perspective the issues and constraints that affect performance. A mixed method approach has been adopted, integrating the descriptive analysis of administrative data on performance reports (2006–2007 to 2013–2014) of emergency obstetric and newborn care services in 46 public hospitals, along with primary study comprising of semi-structured interviews of 27 health personnel across selected public hospitals. Examination of trends in selected performance indicators shows that utilization of public hospitals for emergency obstetric and newborn care services has improved; a number of complicated and critical cases revived in the comprehensive emergency obstetric and newborn care (CEmONC) centres of public hospitals have gone up. The capability to treat complicated maternal and neonatal cases, however, is limited by inadequacy of specialist doctors, equipment maintenance issue and lack of hospital management. This case study is of interest to both public hospital administrators and health care policymakers who want to improve and develop strategies for better management in public hospitals. Specifically, there is an urgent need to (a) readdress human resource policy for health care personnel, (b) devise appropriate mechanisms for periodic inspection and preventive maintenance of hospital equipment and (c) develop management capabilities and leadership skills within public health system.

Unravelling the Contextual Factors Mediating Illness Response Using Mixed Methodology

The re-emergence of infectious diseases has been a rampant public health challenge in the state of Kerala over the past one decade with high rates of mortality and morbidity. In an exploration of the contextual factors determining illness response associated with these diseases, this study employed a mixed methodology including a cross sectional survey of 430 respondents and 30 in-depth interviews. Individuals having one or more cases of selected re-emerging infectious diseases (Chikungunya, Dengue, Malaria and Leptospirosis) from various socio-spatial locations were included in the study to understand the patterns and determinants of illness response across different categories. The findings demonstrated that respondents’ response to illness is jointly determined by individual and household level factors such as gender, parenthood, illness context and spatiality. The article explains the ways in which these factors have interacted and intersected at varying points to create and reinforce multiple layers of vulnerability. Results are pertinent in understanding the pathways and mechanisms through which health inequities are created and sustained among different categories in the population. The findings demonstrate that only interventions concomitantly dealing with these factors and their interactions will produce more equitable results in improving access to health services and management of morbidity associated with re-emerging infectious diseases.

Expectant Mother’s Preferences for Services in Public Hospitals of Tamil Nadu, India

Substantial programmatic efforts have been undertaken to improve the access to maternal care services in the public health system of India, yet the service users are often regarded as passive recipients. Limited research is available on the preferences of service users on what they regard the greatest issues in service delivery. A hospital-based discrete choice experiment (DCE) has been conducted in the public health facilities of Tamil Nadu, a southern state of India. This study uses a sample of 261 women who came for antenatal check-ups across six different public hospitals in Tamil Nadu. The DCE technique, which is rooted in random utility theory (RUT), and conditional logit model have been used to analyze the relative importance of health service attributes. The result showed that regular ward visits by specialist doctors like obstetricians and gynaecologists (O&G) and paediatricians were the most preferred attribute of the maternal care service. Expectant mothers are willing to wait the maximum and are prepared to tolerate health service characteristics in public hospitals, such as poor patient amenities, poor staff attitude and lack of privacy maintained during physical examination, provided specialist doctors are available in the hospitals.

Technical and Scale Efficiency of Public District Hospitals in Kedah, Malaysia

In a bid to improve efficiency in health care, the Ministry of Health (MoH) in Malaysia has been implementing various health sector reforms such as expansion and upgrading of public health facilities. Even though efficiency study is vital for health care institution in monitoring performance, to date no study has been undertaken to measure technical and scale efficiencies of public hospitals in Kedah specifically. The objectives of this study are to measure technical and scale efficiencies among district public hospitals in the state of Kedah, Malaysia. Data envelopment analysis (DEA) technique was used in estimating the efficiency score of these hospitals. Data were obtained from nine public hospitals in Kedah for three years from 2008 to 2010. The DEA technique was used on pooled data which consists of 27 decision-making units (DMUs). The input data comprised the number of doctors, nurses and beds while the number of outpatients, inpatients, surgeries and deliveries performed represented the outputs. Of 27 DMUs, 74 per cent were technically efficient which lied on the best-practice frontier. The technical efficiency (TE) score of technical-inefficient hospitals ranged between 0.780 and 0.991 with the average of 0.935 while the score of scale-inefficient hospitals was between 0.832 and 0.992. The average score of 16 scale-inefficient DMUs was 0.938 which implies that, on average, these DMUs were able to reduce 6.25 per cent of their resources while maintaining the same number of output.

Good Health at Low Cost 25 years on: lessons for the future of health systems strengthening

In 1985, the Rockefeller Foundation published Good health at low cost to discuss why some countries or regions achieve better health and social outcomes than do others at a similar level of income and to show the role of political will and socially progressive policies. 25 years on, the Good Health at Low Cost project revisited these places but looked anew at Bangladesh, Ethiopia, Kyrgyzstan, Thailand, and the Indian state of Tamil Nadu, which have all either achieved substantial improvements in health or access to services or implemented innovative health policies relative to their neighbours. A series of comparative case studies (2009-11) looked at how and why each region accomplished these changes. Attributes of success included good governance and political commitment, effective bureaucracies that preserve institutional memory and can learn from experience, and the ability to innovate and adapt to resource limitations. Furthermore, the capacity to respond to population needs and build resilience into health systems in the face of political unrest, economic crises, and natural disasters was important. Transport infrastructure, female empowerment, and education also played a part. Health systems are complex and no simple recipe exists for success. Yet in the countries and regions studied, progress has been assisted by institutional stability, with continuity of reforms despite political and economic turmoil, learning lessons from experience, seizing windows of opportunity, and ensuring sensitivity to context. These experiences show that improvements in health can still be achieved in countries with relatively few resources, though strategic investment is necessary to address new challenges such as complex chronic diseases and growing population expectations.

Technical Efficiency of Comprehensive Emergency Obstetric and New-Born Care Centres in Tamil Nadu

Background: The state government of Tamil Nadu in India has been implementing various health sector reforms to bring down maternal and infant deaths. One such significant step was to set up Comprehensive Emergency Obstetric and New-born Care (CEmONC) centres all over Tamil Nadu under the World Bank-funded Tamil Nadu Health Systems Project (TNHSP) in 2005. However, to date, except for the pilot study reported in this article, no attempt has been made to make an estimate of the efficiency of the CEmONC centres in Tamil Nadu. The objective of this study, based on data on performance indicators collected by the TNHSP for the period April 2009 to March 2010 was to estimate the relative technical efficiency (TE) and scale efficiency (SE) of Phase 1 CEmONC centres in Tamil Nadu using the DEA method.

Methods: The Data Envelopment Analysis (DEA) method was used to estimate the efficiency of 48 Phase 1 CEmONC centres operating in secondary hospitals across Tamil Nadu. This is an exploratory study.

Results: 10 (out of 48) centres were technically efficient, with an average TE score for inefficient centres of 72.3 per cent and a standard deviation (STD) of 15 per cent under the constant returns to scale assumption. Nineteen centres were technically efficient under variable returns to scale assumption with an average score of 81 per cent (STD of 14 per cent). Thirty-eight centres were scale inefficient with 84 per cent (STD of 11.79 per cent).

Discussion: This pilot study demonstrates to the policy-makers the versatility of DEA in measuring inefficiencies among CEmONC centres. A key limitation of this study is that it has not accounted for quality of care. Further research is required to examine why certain centres out-perform others.

Technical Efficiency and Scale Efficiency of District Hospitals

The Government of Tamil Nadu state in India has been implementing various health sector reforms (for example, expansion and upgradation of public health facilities, provision of round the clock services in selected primary health centres and continuous availability of quality medicines decentralisation) in a bid to improve efficiency in health care. However, few attempts have been made to make an estimate of the efficiency of hospitals in Tamil Nadu as well as in India till date. The objectives of this study are: (i) to estimate the relative technical efficiency (TE) and scale efficiency (SE) of a sample of public hospitals in Tamil Nadu; and (ii) to demonstrate policy implications for health sector policy makers. The Data Envelopment Analysis (DEA) approach, a well-known operations research (OR) technique for evaluating the relative efficiency of a set of similar decision making units (DMU), was used to estimate the efficiency of these hospitals. To do so we made use of the data collected from the Directorate of Medical and Rural Health Services (DMRHS) for 29 districts of Tamil Nadu in 2004–05. The output data included are outpatient visits, number of inpatients, number of surgeries undertaken, number of deliveries and number of emergency cases. The numbers of staff members and bed strength were used as input. Of the 29 hospitals, it was found that 52 per cent were technically efficient as they had relative efficiency score 1.00 and lie on the efficiency frontier, while the remaining 48 per cent were technically inefficient and can use some of the efficient hospitals as their peers to improve their efficiency. Further, the average scale efficiency among the inefficient hospitals was 81 per cent, which implies that the scale inefficient hospitals could reduce their size by 19 per cent without reducing their current output levels.