Impact and cost-effectiveness evaluation of nutritional supplementation and complementary interventions for tuberculosis treatment outcomes under mukti pay-for-performance model in Madhya Pradesh, India: A study protocol.

Background: A."pay-for-performance" (P4P) intervention model for improved tuberculosis (TB) outcomes, called "Mukti," has been implemented in an underdeveloped tribal area of central India. The target of this project is to improve nutritional status, quality of life (QoL), and treatment outcomes of 1000 TB patients through four interventions: food baskets, personal counseling, peer-to-peer learning and facilitation for linkage to government schemes. The current study aims to assess the success of this model by evaluating its impact and cost-effectiveness using a quasi-experimental approach. Methods: Data for impact assessment have been collected from 1000 intervention and control patients. Study outcomes such as treatment completion, sputum negativity, weight gain, and health-related QoL will be compared between matched samples. Micro costing approach will be used for assessing the cost of routine TB services provision under the national program and the incremental cost of implementing our interventions. A decision and Markov hybrid model will estimate long-term costs and health outcomes associated with the use of study interventions. Measures of health outcomes will be mortality, morbidity, and disability. Cost-effectiveness will be assessed in terms of incremental cost per quality-adjusted life-years gained and cost per unit increase in patient weight in intervention versus control groups. Results: The evidence generated from the present study in terms of impact and cost-effectiveness estimates will thus help to identify not only the effectiveness of these interventions but also the optimal mode of financing such measures. Our estimates on scale-up costs for these interventions will also help the state and the national government to consider scale-up of such interventions in the entire state or country. Discussion: The study will generate important evidence on the impact of nutritional supplementation and other complementary interventions for TB treatment outcomes delivered through P4P financing models and on the cost of scaling up these to the state and national level in India.

What and how much do the community health officers and auxiliary nurse midwives do in health and wellness centres in a block in Punjab? A time-motion study.

BACKGROUND: The Government of India introduced a new cadre of Community Health Officers (CHOs) in the primary health-care system through the Ayushman Bharat Health and Wellness Centres (HWCs) program. OBJECTIVES: The study aimed to assess the activities performed and time spent by the existing and new primary health-care team members at the HWC level. METHODS: A time and motion study was undertaken in four HWCs in Punjab over a period of 3 months, to assess the time spent by auxiliary nurse midwives (ANMs) and CHOs on different services and activities. Data were collected through direct continuous observation of four CHOs and four ANMs during working hours for a period of 6 consecutive days of a week, along with structured time allocation interviews of all participants. RESULTS: The CHOs spent 5.7 (5.6-5.9) hours per day on duty of which 57% was productively involved in service delivery. The average time spent by ANMs was 4.9 (4.5-5.3) hours per day, with nearly 62% productive time. While the CHOs spent nearly 40% of their time on services for non-communicable diseases (NCDs), the ANMs spent 51% of their time on maternal, infant, child, and adolescent health services. CONCLUSION: The introduction of HWCs and CHOs has nudged the health system toward comprehensive primary health care by placing a renewed emphasis on NCDs. The study provides useful evidence for staff, program implementers, and policymakers, to aid informed decision-making for human resource management.

Estimating the Unit Costs of Healthcare Service Delivery in India: Addressing Information Gaps for Price Setting and Health Technology Assessment.

BACKGROUND: India's flagship National Health insurance programme (AB-PMJAY) requires accurate cost information for evidence-based decision-making, strategic purchasing of health services and setting reimbursement rates. To address the challenge of limited health service cost data, this study used econometric methods to identify determinants of cost and estimate unit costs for each Indian state. METHODS: Using data from 81 facilities in six states, models were developed for inpatient and outpatient services at primary and secondary level public health facilities. A best-fit unit cost function was identified using guided stepwise regression and combined with data on health service infrastructure and utilisation to predict state-level unit costs. RESULTS: Health service utilisation had the greatest influence on unit cost, while number of beds, facility level and the state were also good predictors. For district hospitals, predicted cost per inpatient admission ranged from 1028 (313-3429) Indian Rupees (INR) to 4499 (1451-14,159) INR and cost per outpatient visit ranged from 91 (44-196) INR to 657 (339-1337) INR, across the states. For community healthcare centres and primary healthcare centres, cost per admission ranged from 412 (148-1151) INR to 3677 (1359-10,055) INR and cost per outpatient visit ranged from 96 (50-187) INR to 429 (217-844) INR. CONCLUSION: This is the first time cost estimates for inpatient admissions and outpatient visits for all states have been estimated using standardised data. The model demonstrates the usefulness of such an approach in the Indian context to help inform health technology assessment, budgeting and forecasting, as well as differential pricing, and could be applied to similar country contexts where cost data are limited.

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.

Cost Effectiveness of Implementing Integrated Management of Neonatal and Childhood Illnesses Program in District Faridabad, India.

INTRODUCTION: Despite the evidence for preventing childhood morbidity and mortality, financial resources are cited as a constraint for Governments to scale up the key health interventions in some countries. We evaluate the cost effectiveness of implementing IMNCI program in India from a health system and societal perspective. METHODS: We parameterized a decision analytic model to assess incremental cost effectiveness of IMNCI program as against routine child health services for infant population at district level in India. Using a 15-years time horizon from 2007 to 2022, we populated the model using data on costs and effects as found from a cluster-randomized trial to assess effectiveness of IMNCI program in Haryana state. Effectiveness was estimated as reduction in infant illness episodes, deaths and disability adjusted life years (DALY). Incremental cost per DALY averted was used to estimate cost effectiveness of IMNCI. Future costs and effects were discounted at a rate of 3%. Probabilistic sensitivity analysis was undertaken to estimate the probability of IMNCI to be cost effective at varying willingness to pay thresholds. RESULTS: Implementation of IMNCI results in a cumulative reduction of 57,384 illness episodes, 2369 deaths and 76,158 DALYs among infants at district level from 2007 to 2022. Overall, from a health system perspective, IMNCI program incurs an incremental cost of USD 34.5 (INR 1554) per DALY averted, USD 34.5 (INR 1554) per life year gained, USD 1110 (INR 49,963) per infant death averted. There is 90% probability for ICER to be cost effective at INR 2300 willingness to pay, which is 5.5% of India's GDP per capita. From a societal perspective, IMNCI program incurs an additional cost of USD 24.1 (INR 1082) per DALY averted, USD 773 (INR 34799) per infant death averted and USD 26.3 (INR 1183) per illness averted in during infancy. CONCLUSION: IMNCI program in Indian context is very cost effective and should be scaled-up as a major child survival strategy.

Cost of delivering child health care through community level health workers: how much extra does IMNCI program cost?

BACKGROUND AND METHODS: In the setting of a cluster randomized study to assess impact of the Integrated Management of Neonatal and Childhood Illnesses (IMNCI) program in the district of Faridabad in India, we randomly selected auxiliary nurse midwives (ANM), anganwadi workers (AWW) and accredited social health activists (ASHA) from intervention and control areas to collect cost data using an economic perspective. Bootstrap method was used to estimate 95% confidence interval. RESULTS: The annual per-child cost of providing health services through an ANM, AWW and ASHA is INR 348 (USD 7.7), INR 588 (USD 13.1) and INR 87 (USD 1.9), respectively. The annual per-child incremental cost of delivering IMNCI is INR 124.8 (USD 2.77), INR 26 (USD 0.6) and INR 31 (USD 0.7) at the ANM, AWW and ASHA level, respectively. CONCLUSION: Implementation of IMNCI imposes additional costs to the health system. A comprehensive economic evaluation of the IMNCI is imperative to estimate the net cost implications in India.