CHSI costing study-Challenges and solutions for cost data collection in private hospitals in India.

INTRODUCTION: Ayushman Bharat Pradhan Mantri Jan Aarogya Yojana (AB PM-JAY) has enabled the Government of India to become a strategic purchaser of health care services from private providers. To generate base cost evidence for evidence-based policymaking the Costing of Health Services in India (CHSI) study was commissioned in 2018 for the price setting of health benefit packages. This paper reports the findings of a process evaluation of the cost data collection in the private hospitals. METHODS: The process evaluation of health system costing in private hospitals was an exploratory survey with mixed methods (quantitative and qualitative). We used three approaches-an online survey using a semi-structured questionnaire, in-depth interviews, and a review of monitoring data. The process of data collection was assessed in terms of time taken for different aspects, resources used, level and nature of difficulty encountered, challenges and solutions. RESULTS: The mean time taken for data collection in a private hospital was 9.31 (± 1.0) person months including time for obtaining permissions, actual data collection and entry, and addressing queries for data completeness and quality. The longest time was taken to collect data on human resources (30%), while it took the least time for collecting information on building and space (5%). On a scale of 1 (lowest) to 10 (highest) difficulty levels, the data on human resources was the most difficult to collect. This included data on salaries (8), time allocation (5.5) and leaves (5). DISCUSSION: Cost data from private hospitals is crucial for mixed health systems. Developing formal mechanisms of cost accounting data and data sharing as pre-requisites for empanelment under a national insurance scheme can significantly ease the process of cost data collection.

Cost of Surgical Care at Public Sector District Hospitals in India: Implications for Universal Health Coverage and Publicly Financed Health Insurance Schemes.

BACKGROUND: In low- and middle-income countries (LMICs), provisioning for surgical care is a public health priority. Ayushman Bharat Pradhan Mantri-Jan Aarogya Yojana (AB PM-JAY) is India's largest national insurance scheme providing free surgical and medical care. In this paper, we present the costs of surgical health benefit packages (HBPs) for secondary care in public district hospitals. METHODS: The costs were estimated using mixed (top-down and bottom-up) micro-costing methods. In phase II of the Costing of Health Services in India (CHSI) study, data were collected from a sample of 27 district hospitals from nine states of India. The district hospitals were selected using stratified random sampling based on the district's composite development score. We estimated unit costs for individual services-outpatient (OP) visit, per bed-day in inpatient (IP) and intensive care unit (ICU) stays, and surgical procedures. Together, this was used to estimate the cost of 250 AB PM-JAY HBPs. RESULTS: At the current level of utilization, the mean cost per OP consultation varied from US$4.10 to US$2.60 among different surgical specialities. The mean unit cost per IP bed-day ranged from US$13.40 to US$35.60. For the ICU, the mean unit cost per bed-day was US$74. Further, the unit cost of HBPs varied from US$564 for bone tumour excision to US$49 for lid tear repair. CONCLUSIONS: Data on the cost of delivering surgical care at the level of district hospitals is of critical value for evidence-based policymaking, price-setting for surgical care and planning to strengthen the availability of high quality and cost-effective surgical care in district hospitals.

Quality of life of older people in an urban slum of India.

OBJECTIVES: The aim of this study was to examine different domains of quality of life (QOL) and their relationship to sociodemographic characteristics among older people in an urban slum in India. MATERIALS AND METHODS: A cross-sectional study was conducted (n = 120). Selected individuals were interviewed, and their QOL was assessed by the World Health Organization Quality of Life-BREF questionnaire. Statistical analysis was then performed. RESULTS: Of those included in the study population, 61.7% were men, all were Hindus, 46.7% were members of the general caste, 19.2% were illiterate, 35% were unemployed, and 72.5% lived with their joint family (i.e. extended family). Mean scores in each domain studied did not significantly differ between the sexes, age groups, castes, and family types. Subjects with more education, who were married, and with greater income had significantly better QOL scores. Mean scores were also better in certain domains among persons who had their own income and who resided with their children. CONCLUSION: Having low education, being single, lacking personal income, and not living with their children significantly reduced QOL in the elderly subjects. Attention should be given to these factors to help elderly individuals age in a healthy manner.

Adherence to highly active antiretroviral therapy in a tertiary care hospital in West Bengal, India.

INTRODUCTION: The introduction of highly active antiretroviral therapy (HAART) for the treatment of human immunodeficiency virus (HIV) infection and acquired immunodeficiency syndrome (AIDS) has led to the reduction of mortality and the improvement of the quality of life of people living with HIV/AIDS (PLWHA). The present study was conducted to determine the pattern of adherence to HAART among PLWHA, and to assess the factor(s) affecting nonadherence, if any. METHODS: This study was a hospital-based analytical, cross-sectional epidemiological study conducted between July and October 2011. A total of 370 adult HIV-positive patients registered in the Antiretroviral Therapy Centre of Burdwan Medical College and Hospital, West Bengal, India, were included. Nonadherence was defined as missing at least a single dose of medicine within the last four days. Data was analysed using the Statistical Package for the Social Sciences version 19.0 (IBM Corp, Armonk, NY, USA). RESULTS: A total of 87.6% of patients were found to be adherent to HAART. Principal causes of nonadherence were forgetting to take medicine (70.2%), being away from home (65.2%), and busyness with other things (64.7%). Multivariate logistic regression analysis revealed that nonadherence was significantly associated with a positive family history of HIV/AIDS (odds ratio [OR] 16; 95% confidence interval [CI] 2.2-114.3; p = 0.01), occurrence of side effects with HAART (OR 9.81; 95% CI 1.9-51.7; p = 0.01) and employment (OR 5.93; 95% CI 1.5-23.2; p = 0.01). CONCLUSION: Although overall adherence was high, the factors that affect nonadherence can be addressed with proper counselling and motivation of patients and their family members. Adherence to HAART could delay the progression of this lethal disease and minimise the risk of developing drug resistance.