Comparative Performance of Diagnosis-based and Prescription-based Comorbidity Scores to Predict Health-related Quality of Life
Bibliographic Data
| ID | 9103669 |
|---|---|
| Authors | Hemalkumar B Mehta (0000-0001-9134-6370, Department of Surgery, University of Texas Medical Branch, Galveston, corresponding author), Sneha D Sura (University of Houston), Sneha Sura (University of Houston), Manvi Sharma (0000-0003-2708-4403, University of Houston), Michael L Johnson (0000-0002-4018-4647, University of Houston), Taylor S Riall (University of Arizona) |
| Year | 2016 |
| Volume | 54 |
| Issue | 5 |
| Pages | 519-527 |
| Publication date | 2016-05-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000000517 |
| PMID | 26918403 |
| OpenAlex | W2307693960 |
| Language | EN |
| References cited | 45 |
OBJECTIVES: To compare the performance of the health-related quality of life-comorbidity index (HRQoL-CI) with the diagnosis-based Charlson, Elixhauser, and combined comorbidity scores and the prescription-based chronic disease score (CDS) in predicting HRQoL in Agency of Healthcare Research and Quality priority conditions (asthma, breast cancer, diabetes, and heart failure). METHODS: The Medical Expenditure Panel Survey (2005 and 2007-2011) data was used for this retrospective study. Four disease-specific cohorts were developed that included adult patients (age 18 y and above) with the particular disease condition. The outcome HRQoL [physical component score (PCS) and mental component score (MCS)] was measured using the Short Form Health Survey, Version 2 (SF-12v2). Multiple linear regression analyses were conducted with the PCS and MCS as dependent variables. Comorbidity scores were compared using adjusted R. RESULTS: Of 140,046 adult participants, the study cohort included 7436 asthma (5.3%), 1054 breast cancer (0.8%), 13,829 diabetes (9.9%), and 937 heart failure (0.7%) patients. Among individual scores, HRQoL-CI was best at predicting PCS and MCS. Adding prescription-based comorbidity scores to HRQoL-CI in the same model improved prediction of PCS and MCS. HRQoL-CI+CDS performed the best in predicting PCS (adjusted R): asthma (43.7%), breast cancer (31.7%), diabetes (32.7%), and heart failure (20.0%). HRQoL-CI+CDS and Elixhauser+CDS had superior and comparable performance in predicting MCS (adjusted R): asthma (HRQoL-CI+CDS=20.1%; Elixhauser+CDS=19.6%), breast cancer (HRQoL-CI+CDS=12.9%; Elixhauser+CDS=14.1%), diabetes (HRQoL-CI+CDS=17.7%; Elixhauser+CDS=17.7%), and heart failure (HRQoL-CI+CDS=18.1%; Elixhauser+CDS=17.7%). CONCLUSIONS: HRQoL-CI performed best in predicting HRQoL. Combining prescription-based scores to diagnosis-based scores improved the prediction of HRQoL
Asthma · Breast cancer · Cancer · Comorbidity · Diabetes mellitus · Health care · Health insurance · Medical Expenditure Panel Survey · Medical prescription · Physical therapy · Quality of life (healthcare) · Cancer survivorship and care · Chronic Disease Management Strategies · Diabetes Management and Education · Internal Medicine · Medicine
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| Citation velocity | historical |
|---|---|
| Highly cited | No |