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Understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study

BACKGROUND: Concerns about using Instrumental Activities of Daily Living (IADLs) in national surveys come up frequently in geriatric and rehabilitation medicine due to high rates of non-performance for reasons other than health. We aim to evaluate the effect of different strategies of classifying “d...

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Autores principales: Stineman, Margaret G., Xie, Dawei, Pan, Qiang, Kurichi, Jibby E., Saliba, Debra, Rose, Sophia Miryam Schüssler-Fiorenza, Streim, Joel E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784362/
https://www.ncbi.nlm.nih.gov/pubmed/26956616
http://dx.doi.org/10.1186/s12877-016-0235-0
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author Stineman, Margaret G.
Xie, Dawei
Pan, Qiang
Kurichi, Jibby E.
Saliba, Debra
Rose, Sophia Miryam Schüssler-Fiorenza
Streim, Joel E.
author_facet Stineman, Margaret G.
Xie, Dawei
Pan, Qiang
Kurichi, Jibby E.
Saliba, Debra
Rose, Sophia Miryam Schüssler-Fiorenza
Streim, Joel E.
author_sort Stineman, Margaret G.
collection PubMed
description BACKGROUND: Concerns about using Instrumental Activities of Daily Living (IADLs) in national surveys come up frequently in geriatric and rehabilitation medicine due to high rates of non-performance for reasons other than health. We aim to evaluate the effect of different strategies of classifying “does not do” responses to IADL questions when estimating prevalence of IADL limitations in a national survey. METHODS: Cross-sectional analysis of a nationally representative sample of 13,879 non-institutionalized adult Medicare beneficiaries included in the 2010 Medicare Current Beneficiary Survey (MCBS). Sample persons or proxies were asked about difficulties performing six IADLs. Tested strategies to classify non-performance of IADL(s) for reasons other than health were to 1) derive through multiple imputation, 2) exclude (for incomplete data), 3) classify as “no difficulty,” or 4) classify as “difficulty.” IADL stage prevalence estimates were compared across these four strategies. RESULTS: In the sample, 1853 sample persons (12.4 % weighted) did not do one or more IADLs for reasons other than physical problems or health. Yet, IADL stage prevalence estimates differed little across the four alternative strategies. Classification as “no difficulty” led to slightly lower, while classification as “difficulty” raised the estimated population prevalence of disability. CONCLUSIONS: These analyses encourage clinicians, researchers, and policy end-users of IADL survey data to be cognizant of possible small differences that can result from alternative ways of handling unrated IADL information. At the population-level, the resulting differences appear trivial when applying MCBS data, providing reassurance that IADL items can be used to estimate the prevalence of activity limitation despite high rates of non-performance.
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spelling pubmed-47843622016-03-10 Understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study Stineman, Margaret G. Xie, Dawei Pan, Qiang Kurichi, Jibby E. Saliba, Debra Rose, Sophia Miryam Schüssler-Fiorenza Streim, Joel E. BMC Geriatr Research Article BACKGROUND: Concerns about using Instrumental Activities of Daily Living (IADLs) in national surveys come up frequently in geriatric and rehabilitation medicine due to high rates of non-performance for reasons other than health. We aim to evaluate the effect of different strategies of classifying “does not do” responses to IADL questions when estimating prevalence of IADL limitations in a national survey. METHODS: Cross-sectional analysis of a nationally representative sample of 13,879 non-institutionalized adult Medicare beneficiaries included in the 2010 Medicare Current Beneficiary Survey (MCBS). Sample persons or proxies were asked about difficulties performing six IADLs. Tested strategies to classify non-performance of IADL(s) for reasons other than health were to 1) derive through multiple imputation, 2) exclude (for incomplete data), 3) classify as “no difficulty,” or 4) classify as “difficulty.” IADL stage prevalence estimates were compared across these four strategies. RESULTS: In the sample, 1853 sample persons (12.4 % weighted) did not do one or more IADLs for reasons other than physical problems or health. Yet, IADL stage prevalence estimates differed little across the four alternative strategies. Classification as “no difficulty” led to slightly lower, while classification as “difficulty” raised the estimated population prevalence of disability. CONCLUSIONS: These analyses encourage clinicians, researchers, and policy end-users of IADL survey data to be cognizant of possible small differences that can result from alternative ways of handling unrated IADL information. At the population-level, the resulting differences appear trivial when applying MCBS data, providing reassurance that IADL items can be used to estimate the prevalence of activity limitation despite high rates of non-performance. BioMed Central 2016-03-08 /pmc/articles/PMC4784362/ /pubmed/26956616 http://dx.doi.org/10.1186/s12877-016-0235-0 Text en © Stineman et al. 2016 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 Article
Stineman, Margaret G.
Xie, Dawei
Pan, Qiang
Kurichi, Jibby E.
Saliba, Debra
Rose, Sophia Miryam Schüssler-Fiorenza
Streim, Joel E.
Understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study
title Understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study
title_full Understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study
title_fullStr Understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study
title_full_unstemmed Understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study
title_short Understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study
title_sort understanding non-performance reports for instrumental activity of daily living items in population analyses: a cross sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784362/
https://www.ncbi.nlm.nih.gov/pubmed/26956616
http://dx.doi.org/10.1186/s12877-016-0235-0
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