TY - JOUR
T1 - Self report co-morbidity and health related quality of life - A comparison with record based co-morbidity measures
AU - Voaklander, Donald C.
AU - Kelly, Karen D.
AU - Jones, C. Allyson
AU - Suarez-Almazor, Maria E.
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/5
Y1 - 2004/5
N2 - The purpose of this project was to compare three hospital-based measures of co-morbidity to patient self-report co-morbidity and to determine the relative proportion of outcome predicted by each of the co-morbidity measures in a population of individuals receiving major joint arthroplasty. Baseline measures using the SF-36 general health questionnaire and the Western Ontario McMaster Osteoarthritis Index (WOMAC) were obtained from 518 persons undergoing total knee or hip replacement. A second measure was obtained six months post-surgery. Co-morbidity was calculated by summing the self-reported comorbidity at baseline, using both the chart-based and administrative data version of Charlson's Co-morbidity Index, and by summing the number of International Classification of Diseases - Version 9 (ICD-9) codes appearing in the electronic health record. Linear regression was used to determine how much of the variation in outcome was explained by each of the co-morbidity measurement methods. Self-report co-morbidity explained as much variation in outcome as the hospital-based indices. Self-report co-morbidity did not perform as well as the other methods in explaining the variance in health system utilization. It was concluded that self-report co-morbidity is minimally as useful as record-based systems when measuring the impact of co-morbidity on health related quality of life (HRQL). This is an important finding, as privacy legislation, the time until data is available and cost are all barriers to using record-based co-morbidity measures.
AB - The purpose of this project was to compare three hospital-based measures of co-morbidity to patient self-report co-morbidity and to determine the relative proportion of outcome predicted by each of the co-morbidity measures in a population of individuals receiving major joint arthroplasty. Baseline measures using the SF-36 general health questionnaire and the Western Ontario McMaster Osteoarthritis Index (WOMAC) were obtained from 518 persons undergoing total knee or hip replacement. A second measure was obtained six months post-surgery. Co-morbidity was calculated by summing the self-reported comorbidity at baseline, using both the chart-based and administrative data version of Charlson's Co-morbidity Index, and by summing the number of International Classification of Diseases - Version 9 (ICD-9) codes appearing in the electronic health record. Linear regression was used to determine how much of the variation in outcome was explained by each of the co-morbidity measurement methods. Self-report co-morbidity explained as much variation in outcome as the hospital-based indices. Self-report co-morbidity did not perform as well as the other methods in explaining the variance in health system utilization. It was concluded that self-report co-morbidity is minimally as useful as record-based systems when measuring the impact of co-morbidity on health related quality of life (HRQL). This is an important finding, as privacy legislation, the time until data is available and cost are all barriers to using record-based co-morbidity measures.
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U2 - 10.1023/B:SOCI.0000003554.03290.1a
DO - 10.1023/B:SOCI.0000003554.03290.1a
M3 - Article
AN - SCOPUS:1242321580
SN - 0303-8300
VL - 66
SP - 213
EP - 228
JO - Social Indicators Research
JF - Social Indicators Research
IS - 3
ER -