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Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study
INTRODUCTION: To ensure that the evidence generated by health technology assessment (HTA) is translated to policy, it is important to generate a threshold value against which the outcomes of HTA studies can be compared. In this context, the present study delineates the methods that will be deployed...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936284/ https://www.ncbi.nlm.nih.gov/pubmed/36797026 http://dx.doi.org/10.1136/bmjopen-2022-065591 |
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author | Chugh, Yashika Jyani, Gaurav Trivedi, Mayur Albert, Sandra Kar, Sitanshu Sekhar Patro, Binod Raman, Swati Rajsekar, Kavitha Baker, Rachel Mairi Donaldson, Cam Prinja, Shankar |
author_facet | Chugh, Yashika Jyani, Gaurav Trivedi, Mayur Albert, Sandra Kar, Sitanshu Sekhar Patro, Binod Raman, Swati Rajsekar, Kavitha Baker, Rachel Mairi Donaldson, Cam Prinja, Shankar |
author_sort | Chugh, Yashika |
collection | PubMed |
description | INTRODUCTION: To ensure that the evidence generated by health technology assessment (HTA) is translated to policy, it is important to generate a threshold value against which the outcomes of HTA studies can be compared. In this context, the present study delineates the methods that will be deployed to estimate such a value for India. METHODS AND ANALYSIS: The proposed study will deploy a multistage sampling approach considering economic and health status for selection of states, followed by selection of districts based on Multidimensional Poverty Index (MPI) and identification of primary sampling units (PSUs) using the 30-cluster approach. Further, households within PSU will be identified using systematic random sampling and block randomisation based on gender will be done to select respondent from the household. A total of 5410 respondents will be interviewed for the study. The interview schedule will comprise of three sections including background questionnaire to elicit socioeconomic and demographic characteristics, followed by assessment of health gains, and willingness to pay (WTP). To assess the health gains and corresponding WTP, the respondent will be presented with hypothetical health states. Using time trade off method, the respondent will indicate the amount of time he/she is willing to give up at the end of life to avoid morbidities in the hypothetical health condition. Further, respondents will be interviewed about their WTP for treatment of respective hypothetical conditions using contingent valuation technique. These estimates of health gains and corresponding WTP will then be combined to ascertain the value of WTP per quality-adjusted life year. ETHICS AND DISSEMINATION: The ethical approval has been obtained from the Institutional Ethics Committee (IEC) of Postgraduate Institute of Medical Education and Research, Chandigarh, India. The study outcomes will be made available for general use and interpretation of HTA studies commissioned by India’s central HTA Agency. |
format | Online Article Text |
id | pubmed-9936284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-99362842023-02-18 Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study Chugh, Yashika Jyani, Gaurav Trivedi, Mayur Albert, Sandra Kar, Sitanshu Sekhar Patro, Binod Raman, Swati Rajsekar, Kavitha Baker, Rachel Mairi Donaldson, Cam Prinja, Shankar BMJ Open Health Economics INTRODUCTION: To ensure that the evidence generated by health technology assessment (HTA) is translated to policy, it is important to generate a threshold value against which the outcomes of HTA studies can be compared. In this context, the present study delineates the methods that will be deployed to estimate such a value for India. METHODS AND ANALYSIS: The proposed study will deploy a multistage sampling approach considering economic and health status for selection of states, followed by selection of districts based on Multidimensional Poverty Index (MPI) and identification of primary sampling units (PSUs) using the 30-cluster approach. Further, households within PSU will be identified using systematic random sampling and block randomisation based on gender will be done to select respondent from the household. A total of 5410 respondents will be interviewed for the study. The interview schedule will comprise of three sections including background questionnaire to elicit socioeconomic and demographic characteristics, followed by assessment of health gains, and willingness to pay (WTP). To assess the health gains and corresponding WTP, the respondent will be presented with hypothetical health states. Using time trade off method, the respondent will indicate the amount of time he/she is willing to give up at the end of life to avoid morbidities in the hypothetical health condition. Further, respondents will be interviewed about their WTP for treatment of respective hypothetical conditions using contingent valuation technique. These estimates of health gains and corresponding WTP will then be combined to ascertain the value of WTP per quality-adjusted life year. ETHICS AND DISSEMINATION: The ethical approval has been obtained from the Institutional Ethics Committee (IEC) of Postgraduate Institute of Medical Education and Research, Chandigarh, India. The study outcomes will be made available for general use and interpretation of HTA studies commissioned by India’s central HTA Agency. BMJ Publishing Group 2023-02-15 /pmc/articles/PMC9936284/ /pubmed/36797026 http://dx.doi.org/10.1136/bmjopen-2022-065591 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Health Economics Chugh, Yashika Jyani, Gaurav Trivedi, Mayur Albert, Sandra Kar, Sitanshu Sekhar Patro, Binod Raman, Swati Rajsekar, Kavitha Baker, Rachel Mairi Donaldson, Cam Prinja, Shankar Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study |
title | Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study |
title_full | Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study |
title_fullStr | Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study |
title_full_unstemmed | Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study |
title_short | Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study |
title_sort | protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in india: a cross-sectional study |
topic | Health Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936284/ https://www.ncbi.nlm.nih.gov/pubmed/36797026 http://dx.doi.org/10.1136/bmjopen-2022-065591 |
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