Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and Responsiveness
Abstract Objectives To develop and test an internationally applicable mapping function for converting WHODAS‐2.0 scores to disability weights, thereby enabling WHODAS‐2.0 to be used in cost‐utility analyses and sectoral decision‐making. Methods Data from 14 countries were used from the WHO Multi‐Cou...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-09-01
|
Series: | International Journal of Methods in Psychiatric Research |
Subjects: | |
Online Access: | https://doi.org/10.1002/mpr.1886 |
_version_ | 1811234769044766720 |
---|---|
author | Joran Lokkerbol Ben F. M. Wijnen Somnath Chatterji Ronald C. Kessler Dan Chisholm |
author_facet | Joran Lokkerbol Ben F. M. Wijnen Somnath Chatterji Ronald C. Kessler Dan Chisholm |
author_sort | Joran Lokkerbol |
collection | DOAJ |
description | Abstract Objectives To develop and test an internationally applicable mapping function for converting WHODAS‐2.0 scores to disability weights, thereby enabling WHODAS‐2.0 to be used in cost‐utility analyses and sectoral decision‐making. Methods Data from 14 countries were used from the WHO Multi‐Country Survey Study on Health and Responsiveness, administered among nationally representative samples of respondents aged 18+ years who were non‐institutionalized and living in private households. For the combined total of 92,006 respondents, available WHODAS‐2.0 items (for both 36‐item and 12‐item versions) were mapped onto disability weight estimates using a machine learning approach, whereby data were split into separate training and test sets; cross‐validation was used to compare the performance of different regression and penalized regression models. Sensitivity analyses considered different imputation strategies and compared overall model performance with that of country‐specific models. Results Mapping functions converted WHODAS‐2.0 scores into disability weights; R‐squared values of 0.700–0.754 were obtained for the test data set. Penalized regression models reached comparable performance to standard regression models but with fewer predictors. Imputation had little impact on model performance. Model performance of the generic model on country‐specific test sets was comparable to model performance of country‐specific models. Conclusions Disability weights can be generated with good accuracy using WHODAS 2.0 scores, including in national settings where health state valuations are not directly available, which signifies the utility of WHODAS as an outcome measure in evaluative studies that express intervention benefits in terms of QALYs gained. |
first_indexed | 2024-04-12T11:41:10Z |
format | Article |
id | doaj.art-bfb8688278ad491481164357f77a3d1e |
institution | Directory Open Access Journal |
issn | 1049-8931 1557-0657 |
language | English |
last_indexed | 2024-04-12T11:41:10Z |
publishDate | 2021-09-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Methods in Psychiatric Research |
spelling | doaj.art-bfb8688278ad491481164357f77a3d1e2022-12-22T03:34:37ZengWileyInternational Journal of Methods in Psychiatric Research1049-89311557-06572021-09-01303n/an/a10.1002/mpr.1886Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and ResponsivenessJoran Lokkerbol0Ben F. M. Wijnen1Somnath Chatterji2Ronald C. Kessler3Dan Chisholm4Center of Economic Evaluation & Machine Learning Trimbos Institute (Netherlands Institute of Mental Health and Addiction) Utrecht The NetherlandsCenter of Economic Evaluation & Machine Learning Trimbos Institute (Netherlands Institute of Mental Health and Addiction) Utrecht The NetherlandsDepartment of Data and Analytics World Health Organization Geneva SwitzerlandDepartment of Health Care Policy Harvard Medical School Boston Massachusetts USADivision of Country Health Policies and Systems Regional Office for Europe World Health Organization Copenhagen DenmarkAbstract Objectives To develop and test an internationally applicable mapping function for converting WHODAS‐2.0 scores to disability weights, thereby enabling WHODAS‐2.0 to be used in cost‐utility analyses and sectoral decision‐making. Methods Data from 14 countries were used from the WHO Multi‐Country Survey Study on Health and Responsiveness, administered among nationally representative samples of respondents aged 18+ years who were non‐institutionalized and living in private households. For the combined total of 92,006 respondents, available WHODAS‐2.0 items (for both 36‐item and 12‐item versions) were mapped onto disability weight estimates using a machine learning approach, whereby data were split into separate training and test sets; cross‐validation was used to compare the performance of different regression and penalized regression models. Sensitivity analyses considered different imputation strategies and compared overall model performance with that of country‐specific models. Results Mapping functions converted WHODAS‐2.0 scores into disability weights; R‐squared values of 0.700–0.754 were obtained for the test data set. Penalized regression models reached comparable performance to standard regression models but with fewer predictors. Imputation had little impact on model performance. Model performance of the generic model on country‐specific test sets was comparable to model performance of country‐specific models. Conclusions Disability weights can be generated with good accuracy using WHODAS 2.0 scores, including in national settings where health state valuations are not directly available, which signifies the utility of WHODAS as an outcome measure in evaluative studies that express intervention benefits in terms of QALYs gained.https://doi.org/10.1002/mpr.1886disability weightmapping functionmulti‐country survey study on health and responsivenessWHODAS‐2.0 |
spellingShingle | Joran Lokkerbol Ben F. M. Wijnen Somnath Chatterji Ronald C. Kessler Dan Chisholm Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and Responsiveness International Journal of Methods in Psychiatric Research disability weight mapping function multi‐country survey study on health and responsiveness WHODAS‐2.0 |
title | Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and Responsiveness |
title_full | Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and Responsiveness |
title_fullStr | Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and Responsiveness |
title_full_unstemmed | Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and Responsiveness |
title_short | Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and Responsiveness |
title_sort | mapping of the world health organization s disability assessment schedule 2 0 to disability weights using the multi country survey study on health and responsiveness |
topic | disability weight mapping function multi‐country survey study on health and responsiveness WHODAS‐2.0 |
url | https://doi.org/10.1002/mpr.1886 |
work_keys_str_mv | AT joranlokkerbol mappingoftheworldhealthorganizationsdisabilityassessmentschedule20todisabilityweightsusingthemulticountrysurveystudyonhealthandresponsiveness AT benfmwijnen mappingoftheworldhealthorganizationsdisabilityassessmentschedule20todisabilityweightsusingthemulticountrysurveystudyonhealthandresponsiveness AT somnathchatterji mappingoftheworldhealthorganizationsdisabilityassessmentschedule20todisabilityweightsusingthemulticountrysurveystudyonhealthandresponsiveness AT ronaldckessler mappingoftheworldhealthorganizationsdisabilityassessmentschedule20todisabilityweightsusingthemulticountrysurveystudyonhealthandresponsiveness AT danchisholm mappingoftheworldhealthorganizationsdisabilityassessmentschedule20todisabilityweightsusingthemulticountrysurveystudyonhealthandresponsiveness |