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Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach

BACKGROUND: Burden of disease (BoD) as measured by Disability-Adjusted Life Years (DALYs) is one of the criteria for priority-setting in health care resource allocation. DALYs incorporate disability weights (DWs), which are currently expert-derived estimates or non-existent for most pediatric surgic...

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Autores principales: Poenaru, D., Pemberton, J., Frankfurter, C., Cameron, B. H., Stolk, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336647/
https://www.ncbi.nlm.nih.gov/pubmed/28259148
http://dx.doi.org/10.1186/s12963-017-0125-5
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author Poenaru, D.
Pemberton, J.
Frankfurter, C.
Cameron, B. H.
Stolk, E.
author_facet Poenaru, D.
Pemberton, J.
Frankfurter, C.
Cameron, B. H.
Stolk, E.
author_sort Poenaru, D.
collection PubMed
description BACKGROUND: Burden of disease (BoD) as measured by Disability-Adjusted Life Years (DALYs) is one of the criteria for priority-setting in health care resource allocation. DALYs incorporate disability weights (DWs), which are currently expert-derived estimates or non-existent for most pediatric surgical conditions. The objective of this study is to establish DWs for a subset of key pediatric congenital anomalies using a range of health valuation metrics with caregivers in both high- and low-resource settings. METHOD: We described 15 health states to health professionals (physicians, nurses, social workers, and therapists) and community caregivers in Kenya and Canada. The health states summaries were expert- and community-derived, consisting of a narrated description of the disease and a functional profile described in EQ-5D-5 L style. DWs for each health state were elicited using four health valuation exercises (preference ranking, visual analogue scale (VAS), paired comparison (PC), and time trade-off (TTO)). The PC data were anchored internally to the TTO and externally to existing data to yield DWs for each health state on a scale from 0 (health) to 1 (dead). Any differences in DWs between the two countries were analyzed. RESULTS: In total, 154 participants, matched by profession, were recruited from Kijabe, Kenya (n = 78) and Hamilton, Canada (n = 76). Overall calculated DWs for 15 health states ranged from 0.13 to 0.77, with little difference between countries (intra-class coefficient 0.97). However, DWs generated in Kenya for severe hypospadias and undescended testes were higher than Canadian-derived DWs (p = 0.04 and p < 0.003, respectively). CONCLUSIONS: We have derived country-specific DWs for pediatric congenital anomalies using several low-cost methods and inter-professional and community caregivers. The TTO-anchored PC method appears best suited for future use. The majority of DWs do not appear to differ significantly between the two cultural contexts and could be used to inform further work of estimating the burden of global pediatric surgical disease. Care should be taken in comparing the DWs obtained in the current study to the existent list of DWs because methodological differences may impact on their compatibility. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12963-017-0125-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-53366472017-03-07 Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach Poenaru, D. Pemberton, J. Frankfurter, C. Cameron, B. H. Stolk, E. Popul Health Metr Research BACKGROUND: Burden of disease (BoD) as measured by Disability-Adjusted Life Years (DALYs) is one of the criteria for priority-setting in health care resource allocation. DALYs incorporate disability weights (DWs), which are currently expert-derived estimates or non-existent for most pediatric surgical conditions. The objective of this study is to establish DWs for a subset of key pediatric congenital anomalies using a range of health valuation metrics with caregivers in both high- and low-resource settings. METHOD: We described 15 health states to health professionals (physicians, nurses, social workers, and therapists) and community caregivers in Kenya and Canada. The health states summaries were expert- and community-derived, consisting of a narrated description of the disease and a functional profile described in EQ-5D-5 L style. DWs for each health state were elicited using four health valuation exercises (preference ranking, visual analogue scale (VAS), paired comparison (PC), and time trade-off (TTO)). The PC data were anchored internally to the TTO and externally to existing data to yield DWs for each health state on a scale from 0 (health) to 1 (dead). Any differences in DWs between the two countries were analyzed. RESULTS: In total, 154 participants, matched by profession, were recruited from Kijabe, Kenya (n = 78) and Hamilton, Canada (n = 76). Overall calculated DWs for 15 health states ranged from 0.13 to 0.77, with little difference between countries (intra-class coefficient 0.97). However, DWs generated in Kenya for severe hypospadias and undescended testes were higher than Canadian-derived DWs (p = 0.04 and p < 0.003, respectively). CONCLUSIONS: We have derived country-specific DWs for pediatric congenital anomalies using several low-cost methods and inter-professional and community caregivers. The TTO-anchored PC method appears best suited for future use. The majority of DWs do not appear to differ significantly between the two cultural contexts and could be used to inform further work of estimating the burden of global pediatric surgical disease. Care should be taken in comparing the DWs obtained in the current study to the existent list of DWs because methodological differences may impact on their compatibility. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12963-017-0125-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-04 /pmc/articles/PMC5336647/ /pubmed/28259148 http://dx.doi.org/10.1186/s12963-017-0125-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Poenaru, D.
Pemberton, J.
Frankfurter, C.
Cameron, B. H.
Stolk, E.
Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach
title Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach
title_full Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach
title_fullStr Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach
title_full_unstemmed Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach
title_short Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach
title_sort establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336647/
https://www.ncbi.nlm.nih.gov/pubmed/28259148
http://dx.doi.org/10.1186/s12963-017-0125-5
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