Impact of health benefit package policy interventions on service utilisation under government-funded health insurance in Punjab, India: analysis of Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY).

Background: The design of health benefits package (HBP), and its associated payment and pricing system, is central to the performance of government-funded health insurance programmes. We evaluated the impact of revision in HBP within India's Pradhan Mantri Jan Arogya Yojana (PM-JAY) on provider behaviour, manifesting in terms of utilisation of services. Methods: We analysed the data on 1.35 million hospitalisation claims submitted by all the 886 (222 government and 664 private) empanelled hospitals in state of Punjab, from August 2019 to December 2022, to assess the change in utilisation from HBP 1.0 to HBP 2.0. The packages were stratified based on the nature of revision introduced in HBP 2.0, i.e., change in nomenclature, construct, price, or a combination of these. Data from National Health System Cost Database on cost of each of the packages was used to determine the cost-price differential for each package during HBP 1.0 and 2.0 respectively. A dose-response relationship was also evaluated, based on the multiplicity of revision type undertaken, or based on extent of price correction done. Change in the number of monthly claims, and the number of monthly claims per package was computed for each package category using an appropriate seasonal autoregressive integrated moving average (SARIMA) time series model. Findings: Overall, we found that the HBP revision led to a positive impact on utilisation of services. While changes in HBP nomenclature and construct had a positive effect, incorporating price corrections further accentuated the impact. The pricing reforms highly impacted those packages which were originally significantly under-priced. However, we did not find statistically significant dose-response relationship based on extent of price correction. Thirdly, the overall impact of HBP revision was similar in public and private hospitals. Interpretation: Our paper demonstrates the significant positive impact of PM-JAY HBP revisions on utilisation. HBP revisions need to be undertaken with the anticipation of its long-term intended effects. Funding: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ).

Incidence of Kawasaki disease among children in Chandigarh, India during 2015-2019: a trend analysis.

Background: Only limited information exists regarding the epidemiology of Kawasaki disease (KD) in low-income and middle-income countries. The present study provides the incidence of KD during 2015-2019 in Chandigarh, north India. Our centre follows the largest KD cohort in India. Methods: Children with KD at Chandigarh diagnosed during January 2015-December 2019 were enrolled in the study. Annual incidence rates were determined using decadal growth rates of the National Census 2011. We computed the incidence of KD in children aged <5, and <15 years. We also undertook linear trend analysis using our incidence data from 1994 to 2019. Findings: During 2015-2019, 83 patients (66 males, 17 females) were diagnosed with KD in Chandigarh. Incidence rates during these 5 years were 5.64, 9.25, 9.11, 9.87, and 9.72/100,000 in children aged <5 years, and 2.65, 4.44, 3.86, 5.07, 4.74/100,000 in children aged <15 years. The median age at diagnosis was 48 months (range: 12 days to 15 years). Compared to previous data (2009-2014), there was a 53.1% increase in annual incidence of KD in children aged <5 years, and a 53.7% increase in children aged <15 years. Coronary artery abnormalities during acute phase were noted in 16.9%, and in 7.2% of patients at 6 weeks of follow-up. The trend analysis indicated a monthly rise of 0.002 cases per 100,000 children aged <5 years, and 0.0165 cases per 100,000 children aged <15 years. Interpretation: The incidence of KD has continued to show an upward trend in Chandigarh over the period 2015-2019. This may indicate a true rise in the occurrence of KD or may reflect better disease ascertainment as a result of greater awareness about KD amongst healthcare professionals. Funding: None.

Impact of National Health Mission on infant mortality in India: An interrupted time series analysis.

Government of India introduced National Rural Health Mission in 2005-now transformed into National Health Mission (NHM), to bring about architectural reforms in health sector. In this study, we evaluate the overall impact of NHM on infant mortality at national and state level. Annual data on infant mortality rate (IMR) from 1990 to 2016 were obtained from Sample Registration System bulletins. With reporting year 2009 considered as cut-off point, a two-step segmented time series regression analysis was conducted. Estimates of pre-slope, post-slope and change at the point of intervention were computed by applying auto-regressive integrated moving average (1, 0, 0) while adjusting for trend and auto correlation. We found that while IMR reduced from around 80 to 34 per 1000 live births at the national level from 1990 to 2016, the annual rate of reduction increased from 1.6 per 1000 live births before NHM to 2.2 per 1000 live births after NHM. This is estimated to have averted 248,212 infant deaths in India, between 2005 and 2017. The rate of decline in IMR accelerated in 13 out of 17 larger states, most significantly in Andhra Pradesh, Gujarat, Assam, Haryana, Punjab and Uttar Pradesh. NHM has thus been successful in accelerating the overall rate of reduction in IMR in India. There is still a need to identify the determinants of variations at state level. We recommend strengthening of NHM in terms of funding and implementation.

Cost analysis of implementing mHealth intervention for maternal, newborn & child health care through community health workers: assessment of ReMIND program in Uttar Pradesh, India.

BACKGROUND: The main intervention under ReMiND program consisted of a mobile health application which was used by community health volunteers, called ASHAs, for counselling pregnant women and nursing mothers. This program was implemented in two rural blocks in Uttar Pradesh state of India with an overall aim to increase quality of health care, thereby increasing utilization of maternal & child health services. The aim of the study was to assess annual & unit cost of ReMiND program and its scale up in UP state. METHOD AND MATERIALS: Economic costing was done from the health system and patient's perspectives. All resources used during designing & planning phase i.e., development of application; and implementation of the intervention, were quantified and valued. Capital costs were annualised, after assessing their average number of years for which a product could be used and accounting for its depreciation. Shared or joint costs were apportioned for the time value a resource was utilized under intervention. Annual cost of implementing ReMiND in two blocks of UP along and unit cost per pregnant woman were estimated. Scale-up cost for implementing the intervention in entire state was calculated under two scenarios - first, if no extra human resource were employed; and second, if the state government adopted the same pattern of human resource as employed under this program. RESULTS: The annual cost for rolling out ReMiND in two blocks of district Kaushambi was INR 12.1 million (US $ 191,894). The annualised start-up cost constituted 9% of overall cost while rest of cost was attributed to implementation of the intervention. The health system program costs in ReMiND were estimated to be INR 31.4 (US $ 0.49) per capita per year and INR 1294 (US $ 20.5) per registered women. The per capita incremental cost of scale up of intervention in UP state was estimated to be INR 4.39 (US $ 0.07) when no additional supervisory staffs were added. CONCLUSION: The cost of scale up of ReMiND in Uttar Pradesh is 6% of annual budget for 'reproductive and child health' line item under state budget, and hence appears to be financially sustainable.

Effectiveness of India's National Programme to save the girl child: experience of Beti Bachao Beti Padao (B3P) programme from Haryana State.

The Government of India launched a nationwide programme to save and educate the girl child, Beti Bachao Beti Padhao (B3P), by stringent prohibition of sex-selective abortion, enforcement of Preconception and Prenatal Diagnostic Technique (PC-PNDT) and Medical Termination of Pregnancy (MTP) Acts, and social mobilization. We undertook this study to assess the effectiveness of intervention in Haryana state to improve sex ratio at birth (SRB). The monthly data on SRB (represented as girls per 1000 boys) were collected from civil registration system for the entire state of Haryana to evaluate the impact of B3P programme. The segmented time-series regression analysis was used to estimate the change in SRB after B3P programme. In this process, the seasonal auto regressive integrated moving average model was used to control the seasonality, autocorrelation and secular trend imbibed in the data before calculating the estimate of change in slope using regression equation. Overall, the sex ratio at birth in Haryana increased from 827 girls per 1000 boys in January 2005 to 900 girls per 1000 boys in September 2016. The estimates from segmented time-series regression analysis show that there was an insignificant change in SRB of -0.012 units before the intervention. Post slope was estimated to be 1.684, which suggested an increase in SRB of 1.696 [(confidence interval: 0.23, 3.15), P = 0.025] in terms of the difference between pre- and post-slope. This indicates a statistically significant increase of SRB by 1.696 per month attributable to B3P programme. B3P programme has resulted in an improvement of SRB in Haryana.

Cost effectiveness of mHealth intervention by community health workers for reducing maternal and newborn mortality in rural Uttar Pradesh, India.

BACKGROUND: A variety of mobile-based health technologies (mHealth) have been developed for use by community health workers to augment their performance. One such mHealth intervention-ReMiND program, was implemented in a poor performing district of India. Despite some research on the extent of its effectiveness, there is significant dearth of evidence on cost-effectiveness of such mHealth interventions. In this paper we evaluated the incremental cost per disability adjusted life year (DALY) averted as a result of ReMiND intervention as compared to routine maternal and child health programs without ReMiND. METHODS: A decision tree was parameterized on MS-Excel spreadsheet to estimate the change in DALYs and cost as a result of implementing ReMiND intervention compared with routine care, from both health system and societal perspective. A time horizon of 10 years starting from base year of 2011 was considered appropriate to cover all costs and effects comprehensively. All costs, including those during start-up and implementation phase, besides other costs on the health system or households were estimated. Consequences were measured as part of an impact assessment study which used a quasi-experimental design. Proximal outputs in terms of changes in service coverage were modelled to estimate maternal and infant illnesses and deaths averted, and DALYs averted in Uttar Pradesh state of India. Probabilistic sensitivity analysis was undertaken to account for parameter uncertainties. RESULTS: Cumulatively, from year 2011 to 2020, implementation of ReMiND intervention in UP would result in a reduction of 312 maternal and 149,468 neonatal deaths. This implies that ReMiND program led to a reduction of 0.2% maternal and 5.3% neonatal deaths. Overall, ReMiND is a cost saving intervention from societal perspective. From health system perspective, ReMiND incurs an incremental cost of INR 12,993 (USD 205) per DALY averted and INR 371,577 (USD 5865) per death averted. CONCLUSIONS: Overall, findings of our study suggest strongly that the mHealth intervention as part of ReMiND program is cost saving from a societal perspective and should be considered for replication elsewhere in other states.

Impact of m-health application used by community health volunteers on improving utilisation of maternal, new-born and child health care services in a rural area of Uttar Pradesh, India.

OBJECTIVE: To raise the quality of counselling by community health volunteers resulting in improved uptake of maternal, neonatal and child health services (MNCH), an m-health application was introduced under a project named 'Reducing Maternal and Newborn Deaths (ReMiND)' in district Kaushambi in India. We report the impact of this project on coverage of key MNCH services. METHODS: A pre- and post-quasi-experimental design was undertaken to assess the impact of intervention. This project was introduced in two community development blocks in Kaushambi district in 2012. Two other blocks from the same district were selected as controls after matching for coverage of two indicators at baseline - antenatal care and institutional deliveries. The Annual Health Survey conducted by the Ministry of Health and Family Welfare in 2011 served as pre-intervention data, whereas a household survey in four blocks of Kaushambi district in 2015 provided post-intervention coverage of key services. Propensity score matched samples from intervention and control areas in pre-intervention and post-intervention periods were analysed using difference-in-difference method to estimate the impact of ReMiND project. RESULTS: We found a statistically significant increase in coverage of iron-folic acid supplementation (12.58%), self-reporting of complication during pregnancy (13.11%) and after delivery (19.6%) in the intervention area. The coverage of three or more antenatal care visits, tetanus toxoid vaccination, full antenatal care and ambulance usage increased in intervention area by 10.3%, 4.28%, 1.1% and 2.06%, respectively; however, the changes were statistically insignificant. CONCLUSION: Three of eight services which were targeted for improvement under ReMiND project registered a significant improvement as result of m-health intervention.

Impact assessment and cost-effectiveness of m-health application used by community health workers for maternal, newborn and child health care services in rural Uttar Pradesh, India: a study protocol.

BACKGROUND: An m-health application has been developed and implemented with community health workers to improve their counseling in a rural area of India. The ultimate aim was to generate demand and improve utilization of key maternal, neonatal, and child health services. The present study aims to assess the impact and cost-effectiveness of this project. METHODS/DESIGN: A pre-post quasi-experimental design with a control group will be used to undertake difference in differences analysis for assessing the impact of intervention. The Annual Health Survey (2011) will provide pre-intervention data, and a household survey will be carried out to provide post-intervention data.Two community development blocks where the intervention was introduced will be treated as intervention blocks while two controls blocks are selected after matching with intervention blocks on three indicators: average number of antenatal care checkups, percentage of women receiving three or more antenatal checkups, and percentage of institutional deliveries. Two categories of beneficiaries will be interviewed in both areas: women with a child between 29 days and 6 months and women with a child between 12 and 23 months. Propensity score matched samples from intervention and control areas in pre-post periods will be analyzed using the difference in differences method to estimate the impact of intervention in utilization of key services.Bottom-up costing methods will be used to assess the cost of implementing intervention. A decision model will estimate long-term effects of improved health services utilization on mortality, morbidity, and disability. Cost-effectiveness will be assessed in terms of incremental cost per disability-adjusted life year averted and cost per unit increase in composite service coverage in intervention versus control groups. CONCLUSIONS: The study will generate significant evidence on impact of the m-health intervention for maternal, neonatal, and child services and on the cost of scaling up m-health technology for accredited social health activists in India.