Evidence map›Paper›PMID 36797026›Full record

ArticleBMJ open2023

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.

Yashika Chugh, Gaurav Jyani, Mayur Trivedi, Sandra Albert, Sitanshu Sekhar Kar, Binod Patro, Swati Raman, Kavitha Rajsekar, Rachel Mairi Baker, Cam Donaldson and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Yashika ChughDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, Chandigarh, India.ORCID 0000-0001-6370-3844
Gaurav JyaniDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, Chandigarh, India.ORCID 0000-0003-3787-2446
Mayur TrivediIndian Institute of Public health, Gandhinagar, Gujarat, India.
Sandra AlbertIndian Institutes of Public Health, Shillong, Meghalaya, India.
Sitanshu Sekhar KarDepartment of Preventive and Social Medicine, JIPMER, Pondicherry, Pondicherry, India.
Binod PatroDepartment of Community Medicine & Family Medicine, AIIMS Bhubaneswar, Bhubaneswar, Orissa, India.
Swati RamanAcademy of Management Sciences, Lucknow, Uttar Pradesh, India.
Kavitha RajsekarDepartment of Health Research, India Ministry of Health and Family Welfare, New Delhi, Delhi, India.
Rachel Mairi BakerYunus Centre for Social Business & Health, Glasgow Caledonian University, Glasgow, Scotland, UK.ORCID 0000-0002-3451-2018
Cam DonaldsonYunus Centre for Social Business & Health, Glasgow Caledonian University, Glasgow, Scotland, UK.
Shankar PrinjaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, Chandigarh, India shankarprinja@gmail.com.ORCID 0000-0001-7719-6986
Post Graduate Institute of Medical Education and Research · INGlasgow Caledonian University · GBAll India Institute of Medical Sciences Bhubaneswar · INIndian Institute of Public Health Gandhinagar · INJawaharlal Institute of Post Graduate Medical Education and Research · INMinistry of Health and Family Welfare · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo 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.

Indexed as

Health StatusTechnology Assessment, BiomedicalCross-Sectional StudiesFemaleHumansQuality-Adjusted Life YearsSurveys and QuestionnairesHealth economicsHEALTH ECONOMICSHealth policyPUBLIC HEALTHQuality in health care

Identifiers

PMID36797026
PMCPMC9936284
OpenAlexW4321116313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.