Source:http://linkedlifedata.com/resource/pubmed/id/11927205
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
4
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| pubmed:dateCreated |
2002-4-2
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| pubmed:abstractText |
Self-reported chronic diseases and health status are associated with resource use. However, few data exist regarding their ability to predict mortality or hospitalizations. We sought to determine whether self-reported chronic medical conditions and the SF-36 could be used individually or in combination to assess co-morbidity in the outpatient setting. The study was designed as a prospective cohort study. Patients were enrolled in the primary care clinics at seven Veterans Affairs (VA) medical centers participating in the Ambulatory Care Quality Improvement Project (ACQUIP). 10,947 patients, > or = 50 years of age, enrolled in general internal medicine clinics who returned both a baseline health inventory checklist and the baseline SF-36 who were followed for a mean of 722.5 (+/-84.3) days. The primary outcome was all-cause mortality, with a secondary outcome of hospitalization within the VA system. Using a Cox proportional hazards model in a development set of 5,469 patients, a co-morbidity index [Seattle Index of Co-morbidity (SIC)] was constructed using information about age, smoking status and seven of 25 self-reported medical conditions that were associated with increased mortality. In the validation set of 5,478 patients, the SIC was predictive of both mortality and hospitalizations within the VA system. A separate model was constructed in which only age and the PCS and MCS scores of the SF-36 were entered to predict mortality. The SF-36 component scores and the SIC had comparable discriminatory ability (AUC for discrimination of death within 2 y 0.71 for both models). When combined, the SIC and SF-36 together had improved discrimination for mortality (AUC = 0.74, p-value for difference in AUC < 0.005). A new outpatient co-morbidity score developed using self-identified chronic medical conditions on a baseline health inventory checklist was predictive of 2-y mortality and hospitalization within the VA system in general internal medicine patients.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Apr
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| pubmed:issn |
0895-4356
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| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
55
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
371-80
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| pubmed:dateRevised |
2006-11-15
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| pubmed:meshHeading |
pubmed-meshheading:11927205-Aged,
pubmed-meshheading:11927205-Ambulatory Care,
pubmed-meshheading:11927205-Analysis of Variance,
pubmed-meshheading:11927205-Chronic Disease,
pubmed-meshheading:11927205-Comorbidity,
pubmed-meshheading:11927205-Confounding Factors (Epidemiology),
pubmed-meshheading:11927205-Female,
pubmed-meshheading:11927205-Health Status,
pubmed-meshheading:11927205-Hospitalization,
pubmed-meshheading:11927205-Humans,
pubmed-meshheading:11927205-Male,
pubmed-meshheading:11927205-Middle Aged,
pubmed-meshheading:11927205-Mortality,
pubmed-meshheading:11927205-Predictive Value of Tests,
pubmed-meshheading:11927205-Proportional Hazards Models,
pubmed-meshheading:11927205-Prospective Studies,
pubmed-meshheading:11927205-Quality of Life,
pubmed-meshheading:11927205-Questionnaires,
pubmed-meshheading:11927205-ROC Curve,
pubmed-meshheading:11927205-Reproducibility of Results,
pubmed-meshheading:11927205-Risk,
pubmed-meshheading:11927205-Risk Adjustment,
pubmed-meshheading:11927205-United States,
pubmed-meshheading:11927205-Washington
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| pubmed:year |
2002
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| pubmed:articleTitle |
Validation of case-mix measures derived from self-reports of diagnoses and health.
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| pubmed:affiliation |
Health Services Research and Development Center of Excellence, VA Puget Sound Health Care System, Seattle, WA 98108-1597, USA. vfan@u.washington.edu
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| pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Validation Studies
|