Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list

<p>Abstract</p> <p>Background</p> <p>Primary care physicians are caring for increasing numbers of persons with comorbid chronic illness. Longitudinal information on health outcomes associated with specific chronic conditions may be particularly relevant in caring for th...

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Main Authors: Bayliss Martha S, Bayliss Elizabeth A, Ware John E, Steiner John F
Format: Article
Language:English
Published: BMC 2004-09-01
Series:Health and Quality of Life Outcomes
Subjects:
Online Access:http://www.hqlo.com/content/2/1/47
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spelling doaj-2a86a8026a8c41829b4930bb520878a22020-11-24T22:06:42ZengBMCHealth and Quality of Life Outcomes1477-75252004-09-01214710.1186/1477-7525-2-47Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem listBayliss Martha SBayliss Elizabeth AWare John ESteiner John F<p>Abstract</p> <p>Background</p> <p>Primary care physicians are caring for increasing numbers of persons with comorbid chronic illness. Longitudinal information on health outcomes associated with specific chronic conditions may be particularly relevant in caring for these populations. Our objective was to assess the effect of certain comorbid conditions on physical well being over time in a population of persons with chronic medical conditions; and to compare these effects to that of hypertension alone.</p> <p>Methods</p> <p>We conducted a secondary analysis of 4-year longitudinal data from the Medical Outcomes Study. A heterogeneous population of 1574 patients with either hypertension alone (referent) or one or more of the following conditions: diabetes, coronary artery disease, congestive heart failure, respiratory illness, musculoskeletal conditions and/or depression were recruited from primary and specialty (endocrinology, cardiology or mental health) practices within HMO and fee-for-service settings in three U.S. cities. We measured categorical change (worse vs. same/better) in the SF-36<sup>® </sup>Health Survey physical component summary score (PCS) over 4 years. We used logistic regression analysis to determine significant differences in longitudinal change in PCS between patients with hypertension alone and those with other comorbid conditions and linear regression analysis to assess the contribution of the explanatory variables.</p> <p>Results</p> <p>Specific diagnoses of CHF, diabetes and/or chronic respiratory disease; or 4 or more chronic conditions, were predictive of a clinically significant decline in PCS.</p> <p>Conclusions</p> <p>Clinical recognition of these specific chronic conditions or 4 or more of a list of chronic conditions may provide an opportunity for proactive clinical decision making to maximize physical functioning in these populations.</p> http://www.hqlo.com/content/2/1/47comorbidityphysical functioningquality of lifeSF-36 Health Survey
collection DOAJ
language English
format Article
sources DOAJ
author Bayliss Martha S
Bayliss Elizabeth A
Ware John E
Steiner John F
spellingShingle Bayliss Martha S
Bayliss Elizabeth A
Ware John E
Steiner John F
Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list
Health and Quality of Life Outcomes
comorbidity
physical functioning
quality of life
SF-36 Health Survey
author_facet Bayliss Martha S
Bayliss Elizabeth A
Ware John E
Steiner John F
author_sort Bayliss Martha S
title Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list
title_short Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list
title_full Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list
title_fullStr Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list
title_full_unstemmed Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list
title_sort predicting declines in physical function in persons with multiple chronic medical conditions: what we can learn from the medical problem list
publisher BMC
series Health and Quality of Life Outcomes
issn 1477-7525
publishDate 2004-09-01
description <p>Abstract</p> <p>Background</p> <p>Primary care physicians are caring for increasing numbers of persons with comorbid chronic illness. Longitudinal information on health outcomes associated with specific chronic conditions may be particularly relevant in caring for these populations. Our objective was to assess the effect of certain comorbid conditions on physical well being over time in a population of persons with chronic medical conditions; and to compare these effects to that of hypertension alone.</p> <p>Methods</p> <p>We conducted a secondary analysis of 4-year longitudinal data from the Medical Outcomes Study. A heterogeneous population of 1574 patients with either hypertension alone (referent) or one or more of the following conditions: diabetes, coronary artery disease, congestive heart failure, respiratory illness, musculoskeletal conditions and/or depression were recruited from primary and specialty (endocrinology, cardiology or mental health) practices within HMO and fee-for-service settings in three U.S. cities. We measured categorical change (worse vs. same/better) in the SF-36<sup>® </sup>Health Survey physical component summary score (PCS) over 4 years. We used logistic regression analysis to determine significant differences in longitudinal change in PCS between patients with hypertension alone and those with other comorbid conditions and linear regression analysis to assess the contribution of the explanatory variables.</p> <p>Results</p> <p>Specific diagnoses of CHF, diabetes and/or chronic respiratory disease; or 4 or more chronic conditions, were predictive of a clinically significant decline in PCS.</p> <p>Conclusions</p> <p>Clinical recognition of these specific chronic conditions or 4 or more of a list of chronic conditions may provide an opportunity for proactive clinical decision making to maximize physical functioning in these populations.</p>
topic comorbidity
physical functioning
quality of life
SF-36 Health Survey
url http://www.hqlo.com/content/2/1/47
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