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Lahariya C, Sahoo KC, Sundararaman T, Prinja S, Rajsekhar K, Pati S. Universal health coverage in India and health technology assessment: current status and the way forward. Front Public Health 2023; 11:1187567. [PMID: 37333525 PMCID: PMC10272558 DOI: 10.3389/fpubh.2023.1187567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/09/2023] [Indexed: 06/20/2023] Open
Abstract
In India, there is a renewed emphasis on Universal Health Coverage (UHC). Alongside this, Health Technology Assessment (HTA) is an important tool for advancing UHC. The development and application of HTA in India, including capacity building and establishing institutional mechanisms. We emphasized using the HTA approach within two components of the Ayushman Bharat programme, and the section concludes with lessons learned and the next steps. The UHC has increased the importance of selecting and implementing effective technologies and interventions within national health systems, particularly in the context of limited resources. To maximize the use of limited resources and produce reliable scientific assessments, developing and enhancing national capacity must be based on established best practices, information exchange between different sectors, and collaborative approaches. A more potent mechanism and capacity for HTA in India would accelerate the country's progress toward UHC.
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Affiliation(s)
- Chandrakant Lahariya
- Integrated Department of Health Policy, Epidemiology, Preventive Medicine and Pediatrics, Foundation for People-centric Health Systems, New Delhi, India
- SD Gupta School of Public Health, The IIHMR University, Jaipur, India
| | - Krushna Chandra Sahoo
- Health Technology Assessment in India, Regional Resource Hub, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India
| | - T. Sundararaman
- Former Dean, School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India
| | - Shankar Prinja
- School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Kavitha Rajsekhar
- Health Technology Assessment in India, Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India
| | - Sanghamitra Pati
- Health Technology Assessment in India, Regional Resource Hub, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India
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Singh MP, Popli R, Brar S, Rajsekar K, Sachin O, Naik J, Kumar S, Sinha S, Singh V, Patel P, Verma R, Hazra A, Misra R, Mehrotra D, Biswal SB, Panigrahy A, Gaur KL, Pankaj JP, Sharma DK, Madhavi K, Madhusudana P, Narayanasamy K, Chitra A, Velhal GD, Bhondve AS, Bahl R, Kaur S, Prinja S. CHSI costing study-Challenges and solutions for cost data collection in private hospitals in India. PLoS One 2022; 17:e0276399. [PMID: 36508431 PMCID: PMC9744278 DOI: 10.1371/journal.pone.0276399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 10/06/2022] [Indexed: 12/14/2022] Open
Abstract
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.
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Affiliation(s)
- Maninder Pal Singh
- Department of Community Medicine & School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India
- Department of Global Health & Development, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Riya Popli
- Department of Community Medicine & School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Sehr Brar
- Department of Community Medicine & School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Kavitha Rajsekar
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Oshima Sachin
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Jyotsna Naik
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Sanjay Kumar
- Indira Gandhi Institute of Medical Science, Patna, Bihar, India
| | - Setu Sinha
- Indira Gandhi Institute of Medical Science, Patna, Bihar, India
| | - Varsha Singh
- Indira Gandhi Institute of Medical Science, Patna, Bihar, India
| | - Prakash Patel
- Surat Municipal Institute of Medical Education & Research, Surat, Gujarat, India
| | - Ramesh Verma
- Pt. B.D.Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India
| | - Avijit Hazra
- Institute of Postgraduate Medical Education & Research, Kolkata, West Bengal, India
| | - Raghunath Misra
- Institute of Postgraduate Medical Education & Research, Kolkata, West Bengal, India
| | - Divya Mehrotra
- King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Sashi Bhusan Biswal
- Veer Surendra Sai Institute of Medical Sciences and Research, Burla, Odisha, India
| | - Ankita Panigrahy
- Veer Surendra Sai Institute of Medical Sciences and Research, Burla, Odisha, India
| | | | | | | | - Kondeti Madhavi
- Sri Venkateswara Medical College, Tirupati, Andhra Pradesh, India
| | | | | | - A. Chitra
- Madras Medical College, Chennai, Tamil Nadu, India
| | | | - Amit S. Bhondve
- Seth G S Medical College & KEM Hospital, Mumbai, Maharashtra, India
| | - Rakesh Bahl
- Government Medical College, Jammu, Jammu & Kashmir, India
| | | | - Shankar Prinja
- Department of Community Medicine & School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India
- National Health Authority, Government of India, New Delhi, India
- * E-mail:
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Gupta D, Jyani G, Ramachandran R, Bahuguna P, Ameel M, Dahiya BB, Kohli HS, Prinja S, Jha V. Peritoneal dialysis-first initiative in India: a cost-effectiveness analysis. Clin Kidney J 2022; 15:128-135. [PMID: 35035943 PMCID: PMC8757426 DOI: 10.1093/ckj/sfab126] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The increasing burden of kidney failure (KF) in India necessitates provision of cost-effective kidney replacement therapy (KRT). We assessed the comparative cost-effectiveness of initiating KRT with peritoneal dialysis (PD) or haemodialysis (HD) in the Indian context. METHODS The cost and clinical effectiveness of starting KRT with either PD or HD were measured in terms of life years (LYs) and quality-adjusted life years (QALYs) using a mathematical Markov model. Complications such as peritonitis, vascular access-related complications and blood-borne infections were considered. Health system costs, out-of-pocket expenditures borne by patients and indirect costs were included. Two scenarios were considered: Scenario 1 (real-world scenario)-as per the current cost and utilization patterns; Scenario 2 (public programme scenario)-use in the public sector as per Pradhan Mantri National Dialysis Programme (PMNDP) guidelines. The lifetime costs and health outcomes among KF patients were assessed. RESULTS The mean QALYs lived per KF person with PD and HD were estimated to be 3.3 and 1.6, respectively. From a societal perspective, a PD-first policy is cost-saving as compared with an HD-first policy in both Scenarios 1 and 2. If only the costs directly attributable to patient care (direct costs) are considered, the PD-first treatment policy is estimated to be cost-effective only if the price of PD consumables can be brought down to INR70/U. CONCLUSIONS PD as initial treatment is a cost-saving option for management of KF in India as compared with HD first. The government should negotiate the price of PD consumables under the PMNDP.
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Affiliation(s)
- Dharna Gupta
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Gaurav Jyani
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Raja Ramachandran
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Pankaj Bahuguna
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Mohammed Ameel
- National Health Systems Resource Centre, Ministry of Health and Family Welfare, New Delhi, India
| | - Bharat Bhushan Dahiya
- National Health Systems Resource Centre, Ministry of Health and Family Welfare, New Delhi, India
| | - Harbir Singh Kohli
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Shankar Prinja
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Vivekanand Jha
- The George Institute of Global Health, New Delhi, India
- School of Public Health, Imperial College, London, UK
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
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Downey L, Dabak S, Eames J, Teerawattananon Y, De Francesco M, Prinja S, Guinness L, Bhargava B, Rajsekar K, Asaria M, Rao N, Selvaraju V, Mehndiratta A, Culyer A, Chalkidou K, Cluzeau F. Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience. HEALTH POLICY OPEN 2020; 1:100004. [PMID: 33392500 PMCID: PMC7772949 DOI: 10.1016/j.hpopen.2020.100004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 12/09/2019] [Accepted: 02/17/2020] [Indexed: 11/16/2022] Open
Abstract
India's rapid economic growth has been accompanied by slower improvements in population health. Given the need to reconcile the ambitious goal of achieving Universal Coverage with limited resources, a robust priority-setting mechanism is required to ensure that the right trade-offs are made and the impact on health is maximised. Health Technology Assessment (HTA) is endorsed by the World Health Assembly as the gold standard approach to synthesizing evidence systematically for evidence-informed priority setting (EIPS). India is formally committed to institutionalising HTA as an integral component of the EIPS process. The effective conduct and uptake of HTA depends on a well-functioning ecosystem of stakeholders adept at commissioning and generating policy-relevant HTA research, developing and utilising rigorous technical, transparent, and inclusive methods and processes, and a strong multisectoral and transnational appetite for the use of evidence to inform policy. These all require myriad complex and complementary capacities to be built at each level of the health system . In this paper we describe how a framework for targeted and locally-tailored capacity building for EIPS, and specifically HTA, was collaboratively developed and implemented by an international network of priority-setting expertise, and the Government of India.
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Affiliation(s)
- L.E. Downey
- Global Health and Development, School of Public Health, Imperial College London, London, United Kingdom
- Corresponding author at: Imperial College London, St Mary’s Hospital, Praed Street, London W2 1NY, United Kingdom.
| | - S. Dabak
- Health Intervention Technology Assessment Program (HITAP), Bangkok, Thailand
| | - J. Eames
- Health Intervention Technology Assessment Program (HITAP), Bangkok, Thailand
| | - Y. Teerawattananon
- Health Intervention Technology Assessment Program (HITAP), Bangkok, Thailand
| | - M. De Francesco
- Global Health and Development, School of Public Health, Imperial College London, London, United Kingdom
| | - S. Prinja
- School of Public Health, Post Graduate Medical Institute of Health Education and Research (PGIMER) Chandigarh, India
| | - L. Guinness
- Global Health and Development, School of Public Health, Imperial College London, London, United Kingdom
| | - B. Bhargava
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - K. Rajsekar
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - M. Asaria
- London School of Economics and Political Science, London, United Kingdom
| | - N.V. Rao
- Global Health and Development, School of Public Health, Imperial College London, London, United Kingdom
| | - V. Selvaraju
- Global Health and Development, School of Public Health, Imperial College London, London, United Kingdom
| | - A. Mehndiratta
- Global Health and Development, School of Public Health, Imperial College London, London, United Kingdom
| | - A. Culyer
- Centre for Health Economics, University of York, York, United Kingdom
| | - K. Chalkidou
- Global Health and Development, School of Public Health, Imperial College London, London, United Kingdom
- Centre for Global Development Europe, London, United Kingdom
| | - F.A. Cluzeau
- Global Health and Development, School of Public Health, Imperial College London, London, United Kingdom
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Jyani G, Prinja S, Kar SS, Trivedi M, Patro B, Purba F, Pala S, Raman S, Sharma A, Jain S, Kaur M. Valuing health-related quality of life among the Indian population: a protocol for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study. BMJ Open 2020; 10:e039517. [PMID: 33444194 PMCID: PMC7682473 DOI: 10.1136/bmjopen-2020-039517] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
INTRODUCTION Quality-adjusted life year (QALY) has been recommended by the government as preferred outcome measure for Health Technology Assessment (HTA) in India. As country-specific health-related quality of life tariff values are essential for accurate measurement of QALYs, the government of India has commissioned the present study. The aim of this paper is to describe the methods for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study. Additionally, this study aspires to establish if the design of 10-time trade-off (TTO) blocks is enough to generate valid value sets. METHODS AND ANALYSIS A cross-sectional survey using the EuroQol Group's Valuation Technology (EQ-VT) will be undertaken in a sample of 2700 respondents selected from six different states of India using a multistage stratified random sampling technique. The participants will be interviewed using computer-assisted personal interviewing technique. The TTO valuation will be done using 10 composite TTO (c-TTO) tasks and 7 discrete choice experiment (DCE) tasks. Hybrid modelling approach using both c-TTO and DCE data to estimate the potential value set will be applied. Values of all 3125 health states will be predicted using both the conventional EQ-VT design of 10 blocks of 10 TTO tasks, and an extended design of 18 blocks of 10 TTO tasks. The potential added value of the eight additional blocks in overall validity will be tested. The study will deliver value set for India and assess the adequacy of existing 10-blocks design to be able to correctly predict the values of all 3125 health states. ETHICS AND DISSEMINATION The ethical approval has been obtained from Institutional Ethics Committee of PGIMER, Chandigarh, India. The anonymised EQ-5D-5L value set will be available for general use and in the HTAs commissioned by India's central HTA Agency.
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Affiliation(s)
- Gaurav Jyani
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Shankar Prinja
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sitanshu Sekhar Kar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, Tamil Nadu, India
| | - Mayur Trivedi
- Indian Institute of Public Health, Gandhinagar, Gujarat, India
| | - Binod Patro
- Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Fredrick Purba
- Department of Developmental Psychology, Universitas Padjadjaran, Jatinangor, West Jawa, Indonesia
| | - Star Pala
- Department of Community Medicine, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, Meghalaya, India
| | - Swati Raman
- Academy of Management Sciences, Lucknow, Uttar Pradesh, India
| | - Atul Sharma
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Shalu Jain
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Manmeet Kaur
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
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Prinja S, Rajsekhar K, Gauba VK. Health technology assessment in India: Reflection & future roadmap. Indian J Med Res 2020; 152:444-447. [PMID: 33707385 PMCID: PMC8157896 DOI: 10.4103/ijmr.ijmr_115_19] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Indexed: 11/26/2022] Open
Affiliation(s)
- Shankar Prinja
- Department of Community Medicine & School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh 160 012, India
| | - Kavitha Rajsekhar
- Department of Health Research, Ministry of Health & Family Welfare, Government of India, New Delhi 110 001, India
| | - Vijay Kumar Gauba
- Department of Health Research, Ministry of Health & Family Welfare, Government of India, New Delhi 110 001, India
- Formerly Senior Deputy Director General, Indian Council of Medical Research, New Delhi 110 029, India
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Jain S, Chauhan A, Rajshekar K, Vashist P, Gupta P, Mathur U, Gupta N, Gupta V, Dutta P, Gauba VK. Generic and vision related quality of life associated with different types of cataract surgeries and different types of intraocular lens implantation. PLoS One 2020; 15:e0240036. [PMID: 33007038 PMCID: PMC7531837 DOI: 10.1371/journal.pone.0240036] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 09/17/2020] [Indexed: 12/02/2022] Open
Abstract
OBJECTIVES To assess the effects of different types of cataract surgeries and intraocular lenses on generic as well as vision related quality of life of cataract patients, using EQ-5D and IND-VFQ 33 instruments respectively. METHODS An observational, longitudinal study of patients undergoing cataract surgery was carried out at three ophthalmology centres. Patients were prospectively admitted for surgery for age-related cataract. Generic quality of life was assessed by using Euroqol's EQ5D-5L questionnaire and vision related quality of life was assessed by the IND-VFQ-33 questionnaire. Data pertaining to vision function and quality of life were collected pre surgery and 4 weeks after the surgery. RESULTS Out of total patients (n = 814) recruited for the study, 517 patients were interviewed for both pre-surgery and post-surgery for EQ5D and 519 patients were interviewed for both pre-surgery and post-surgery for IND VFQ 33 tool. The combined data from all three centres showed that Quality Adjusted Life Year (QALY) gains observed in patients undergoing phacoemulsification with foldable lens implantation (2.25 QALY) were significantly higher (0.57 QALY) as compared to Small Incision Cataract Surgery (SICS) with PMMA lens implantation (1.68 QALY). Highest improvement however, in all three subscales of IND-VFQ-33 tool were clearly observed for SICS with PMMA lens implantation. CONCLUSIONS The study has elicited the Health related and vision related Quality of Life scores for cataract surgeries and subsequent lens implantation. This study also offers Health State Utility Values along with visual outcomes for different surgical procedures, lenses and for the combination of surgery with lens implantation for cataract procedures providing a useful resource for future economic evaluation studies.
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Affiliation(s)
- Shalu Jain
- Health Technology Assessment in India, Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India
| | - Akshay Chauhan
- Health Technology Assessment in India, Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India
| | - Kavitha Rajshekar
- Health Technology Assessment in India, Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India
| | - Praveen Vashist
- Community Ophthalmology, Dr. R. P. Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Promila Gupta
- National Programme for Control of Blindness & Visual Impairment, Ministry of Health & Family Welfare, Nirman Bhawan, New Delhi, India
| | - Umang Mathur
- Dr. Shroff’s Charity Eye Hospital, Daryaganj, New Delhi, India
| | - Noopur Gupta
- Community Ophthalmology, Dr. R. P. Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Vivek Gupta
- Community Ophthalmology, Dr. R. P. Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Parul Dutta
- Dr. Shroff’s Charity Eye Hospital, Daryaganj, New Delhi, India
| | - Vijay Kumar Gauba
- Health Technology Assessment in India, Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India
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Prinja S, Singh MP, Guinness L, Rajsekar K, Bhargava B. Establishing reference costs for the health benefit packages under universal health coverage in India: cost of health services in India (CHSI) protocol. BMJ Open 2020; 10:e035170. [PMID: 32690737 PMCID: PMC7375634 DOI: 10.1136/bmjopen-2019-035170] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION To achieve universal health coverage, the Government of India has introduced Ayushman Bharat - Pradhan Mantri Jan Arogya Yojana (AB - PMJAY), a large tax-funded national health insurance scheme for the provision of secondary and tertiary care services in public and private hospitals. AB - PMJAY reimburses care for 1573 health benefit packages (HBPs). HBPs are designed to cover the treatment of diseases/conditions with high incidence/prevalence or which contribute to high out-of-pocket expenditure. However, there is a dearth of reference cost data against which provider payment rates can be assessed. METHODS AND ANALYSIS The CHSI (Cost of Health Services in India) study will collect cost data from 13 Indian states covering 52 public and 40 private hospitals, using a mixed economic costing methodology (top-down and bottom-up), to generate unit costs for the HBPs. States will be sampled to capture economic status, development indicators and health service utilisation heterogeneity. The public sector hospitals will be chosen at secondary and tertiary care level. One tertiary facility will be selected from each state. At secondary level, three districts per state will be selected randomly from the district composite development score ranking. The private sector hospital sample will be stratified by nature of ownership (for-profit and not-for-profit), type of city (tier 1, 2 or 3) and size of the hospital (number of beds). Average costs for each HBP will be calculated across the different facility types. Multiple scenarios will be used to suggest rates which could be negotiated with the providers. Overall, the study will provide economic cost data for price setting, strategic purchasing, health technology assessment and a national cost database of India. ETHICS AND DISSEMINATION The approval has been obtained from the Institutional Ethics Committee and Institutional Collaborative Committee of the Post Graduate Institute of Medical Education and Research, Chandigarh, India. The results shall be disseminated in conferences and peer-reviewed articles.
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Affiliation(s)
- Shankar Prinja
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, Chandigarh, India
| | - Maninder Pal Singh
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, Chandigarh, India
| | - Lorna Guinness
- Independent Researcher, Imperial College, London, UK
- Global Health and Development, London School of Hygiene & Tropical Medicine, London, London, UK
| | - Kavitha Rajsekar
- Department of Health Research, Ministry of Health & Family welfare, New Delhi, India
| | - Balram Bhargava
- Department of Health Research, Ministry of Health & Family welfare, New Delhi, India
- Indian Council of Medical Research, New Delhi, Delhi, India
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9
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Prinja S, Brar S, Singh MP, Rajsekhar K, Sachin O, Naik J, Singh M, Tomar H, Bahuguna P, Guinness L. Process evaluation of health system costing - Experience from CHSI study in India. PLoS One 2020; 15:e0232873. [PMID: 32401763 PMCID: PMC7219765 DOI: 10.1371/journal.pone.0232873] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 04/23/2020] [Indexed: 12/03/2022] Open
Abstract
Background A national study, ‘Costing of healthcare services in India’ (CHSI) aimed at generating reliable healthcare cost estimates for health technology assessment and price-setting is being undertaken in India. CHSI sampled 52 public and 40 private hospitals in 13 states and used a mixed micro-costing approach. This paper aims to outline the process, challenges and critical lessons of cost data collection to feed methodological and quality improvement of data collection. Methods An exploratory survey with 3 components–an online semi-structured questionnaire, group discussion and review of monitoring data, was conducted amongst CHSI data collection teams. There were qualitative and quantitative components. Difficulty in obtaining individual data was rated on a Likert scale. Results Mean time taken to complete cost data collection in one department/speciality was 7.86(±0.51) months, majority of which was spent on data entry and data issues resolution. Data collection was most difficult for determination of equipment usage (mean difficulty score 6.59±0.52), consumables prices (6.09±0.58), equipment price(6.05±0.72), and furniture price(5.64±0.68). Human resources, drugs & consumables contributed to 78% of total cost and 31% of data collection time. However, furniture, overheads and equipment consumed 51% of time contributing only 9% of total cost. Seeking multiple permissions, absence of electronic records, multiple sources of data were key challenges causing delays. Conclusions Micro-costing is time and resource intensive. Addressing key issues prior to data collection would ease the process of data collection, improve quality of estimates and aid priority setting. Electronic health records and availability of national cost data base would facilitate conducting costing studies.
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Affiliation(s)
- Shankar Prinja
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
- * E-mail:
| | - Sehr Brar
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Maninder Pal Singh
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Kavitha Rajsekhar
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Oshima Sachin
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Jyotsna Naik
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Malkeet Singh
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Himanshi Tomar
- Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | | | - Pankaj Bahuguna
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Lorna Guinness
- Independent Researcher, Imperial College London, London, England
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Swami S, Srivastava T. Role of Culture, Values, and Politics in the Implementation of Health Technology Assessment in India: A Commentary. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2020; 23:39-42. [PMID: 31952672 DOI: 10.1016/j.jval.2019.10.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 10/05/2019] [Accepted: 10/18/2019] [Indexed: 06/10/2023]
Abstract
India is a diverse land with different cultures, social norms, castes, religions, faiths, languages, politics, and a complex healthcare system. As a step to enhance healthcare, the government of India announced a move toward universal health coverage to increase accessibility and affordability of health-related services. Recently, there has been an introduction of health technology assessment (HTA) in India to help inform evidence-based decision making in cases of limited resources and budgets. Nevertheless, there are challenges related to biased decision making, an unregulated healthcare framework, and the lack of data and capacity that will (directly or indirectly) affect the use of HTA in India. For HTA to be successful in India and in similar low- and middle-income countries, it is important that the decision makers acknowledge these challenges and embrace differences in ideologies, cultures, and politics instead of ignoring them. Drawing lessons from countries with well-developed HTA bodies may help, but these need to be modified for the country-specific context. Ensuring quality and transparency is key to building trust in medical decision making. Improved coordination at all levels of healthcare is vital to ensure the long-term success of HTA in India. This is challenging but achievable by spreading awareness among stakeholders and achieving moderate health-sector regulation that can combat corruption. HTA will prosper in India if it incorporates cultural and institutional diversity, alongside tackling socioeconomic inequalities.
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Affiliation(s)
- Shilpi Swami
- Department of Health Sciences, University of York, York, England, UK; Evidera, London, England, UK
| | - Tushar Srivastava
- School of Health and Related Research, University of Sheffield, Sheffield, England, UK.
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