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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 ec...

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Autores principales: Bahuguna, Pankaj, Guinness, Lorna, Sharma, Sameer, Chauhan, Akashdeep Singh, Downey, Laura, Prinja, Shankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519005/
https://www.ncbi.nlm.nih.gov/pubmed/32170666
http://dx.doi.org/10.1007/s40258-020-00566-9
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author Bahuguna, Pankaj
Guinness, Lorna
Sharma, Sameer
Chauhan, Akashdeep Singh
Downey, Laura
Prinja, Shankar
author_facet Bahuguna, Pankaj
Guinness, Lorna
Sharma, Sameer
Chauhan, Akashdeep Singh
Downey, Laura
Prinja, Shankar
author_sort Bahuguna, Pankaj
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40258-020-00566-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-75190052020-10-13 Estimating the Unit Costs of Healthcare Service Delivery in India: Addressing Information Gaps for Price Setting and Health Technology Assessment Bahuguna, Pankaj Guinness, Lorna Sharma, Sameer Chauhan, Akashdeep Singh Downey, Laura Prinja, Shankar Appl Health Econ Health Policy Original Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40258-020-00566-9) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-03-14 2020 /pmc/articles/PMC7519005/ /pubmed/32170666 http://dx.doi.org/10.1007/s40258-020-00566-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research Article
Bahuguna, Pankaj
Guinness, Lorna
Sharma, Sameer
Chauhan, Akashdeep Singh
Downey, Laura
Prinja, Shankar
Estimating the Unit Costs of Healthcare Service Delivery in India: Addressing Information Gaps for Price Setting and Health Technology Assessment
title Estimating the Unit Costs of Healthcare Service Delivery in India: Addressing Information Gaps for Price Setting and Health Technology Assessment
title_full Estimating the Unit Costs of Healthcare Service Delivery in India: Addressing Information Gaps for Price Setting and Health Technology Assessment
title_fullStr Estimating the Unit Costs of Healthcare Service Delivery in India: Addressing Information Gaps for Price Setting and Health Technology Assessment
title_full_unstemmed Estimating the Unit Costs of Healthcare Service Delivery in India: Addressing Information Gaps for Price Setting and Health Technology Assessment
title_short Estimating the Unit Costs of Healthcare Service Delivery in India: Addressing Information Gaps for Price Setting and Health Technology Assessment
title_sort estimating the unit costs of healthcare service delivery in india: addressing information gaps for price setting and health technology assessment
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519005/
https://www.ncbi.nlm.nih.gov/pubmed/32170666
http://dx.doi.org/10.1007/s40258-020-00566-9
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