Pennington, Becky;
Eaton, Jack;
Hatswell, Anthony J;
Taylor, Helen;
(2022)
Carers' Health-Related Quality of Life in Global Health Technology Assessment: Guidance, Case Studies and Recommendations.
PharmacoEconomics
, 40
(9)
pp. 837-850.
10.1007/s40273-022-01164-4.
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Abstract
Including health outcomes for carers as well as patients in economic evaluations can change the results and conclusions of the analysis. Whilst in many disease areas there can be clear justification for including carers’ health-related quality of life (HRQL) in health technology assessments (HTAs), we believe that, in general, the perspective of carers is under-represented in HTA. We were interested in the extent, and methods by which, HTA bodies include carers’ HRQL in economic evaluation. We reviewed guidance from 13 HTA bodies across the world regarding carers’ HRQL. We examined five interventions, as case studies, assessed by different HTA bodies, and extracted information on whether carers’ HRQL was included by the manufacturers or assessors in their dossiers of evidence, the data and methods used, and the impact on the results. We developed recommendations to guide analysts on including carers’ HRQL in economic evaluations. When reviewing the methods guides: two bodies recommend including carers’ HRQL in the base case, two referred to outcomes for all individuals, two preferred to exclude carers, three said it depended on other conditions, and it was unclear for four. Across the five case studies: five source studies for carers’ HRQL and two different modelling approaches were used. Including carers’ HRQL increased incremental quality-adjusted life-years (QALYs) in 19/23 analyses (decreased it in two); there was substantial variation in the magnitude of change. We recommend: (1) the inclusion of carers is clearly justified, (2) the use of HRQL data from the population under comparison where possible, (3) the use of data from another disease area or country is clearly justified (and transferability/applicability issues are discussed), (4) the use of external data to derive comparisons for cross-sectional data is justified, (5) assumptions and implications of the modelling approach are explicit, and (6) disaggregated results for patients and carers are presented.
| Type: | Article |
|---|---|
| Title: | Carers' Health-Related Quality of Life in Global Health Technology Assessment: Guidance, Case Studies and Recommendations |
| Location: | New Zealand |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s40273-022-01164-4 |
| Publisher version: | https://doi.org/10.1007/s40273-022-01164-4 |
| Language: | English |
| Additional information: | Open Access This 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-nc/4.0/. |
| Keywords: | Social Sciences, Science & Technology, Life Sciences & Biomedicine, Economics, Health Care Sciences & Services, Health Policy & Services, Pharmacology & Pharmacy, Business & Economics, RESPONSIVENESS, INCLUSION, VALIDITY, FAMILY, IMPACT |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10163005 |
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