The self‐administered comorbidity questionnaire: A new method to assess comorbidity for clinical and health services research

Wiley - Tập 49 Số 2 - Trang 156-163 - 2003
O Sangha1, Gerold Stucki, Matthew H. Liang, Anne H. Fossel, Jeffrey N. Katz
1University of Munich, Germany

Tóm tắt

AbstractObjectiveTo develop the Self‐Administered Comorbidity Questionnaire (SCQ) and assess its psychometric properties, including the predictive validity of the instrument, as reflected by its association with health status and health care utilization after 1 year.MethodsA cross‐sectional comparison of the SCQ with a standard, chart abstraction‐based measure (Charlson Index) was conducted on 170 inpatients from medical and surgical care units. The association of the SCQ with the chart‐based comorbidity instrument and health status (short form 36) was evaluated cross sectionally. The association between these measures and health status and resource utilization was assessed after 1 year.ResultsThe Spearman correlation coefficient for the association between the SCQ and the Charlson Index was 0.32. After restricting each measure to include only comparable items, the correlation between measures was stronger (Spearman r = 0.55). The SCQ had modest associations with measures of resource utilization during the index admission, and with health status and resource utilization after 1 year.ConclusionThe SCQ has modest correlations with a widely used medical record‐based comorbidity instrument, and with subsequent health status and utilization. This new measure represents an efficient method to assess comorbid conditions in clinical and health services research. It will be particularly useful in settings where medical records are unavailable.

Từ khóa


Tài liệu tham khảo

10.1056/NEJM198904273201710

Greenfield S, 1988, Flaws in mortality data: the hazards of ignoring comorbid disease, JAMA, 260, 2253, 10.1001/jama.1988.03410150101039

Iezzoni LI, 1992, Comorbidities, complications, and coding bias: does the number of diagnosis codes matter in predicting in‐hospital mortality, JAMA, 267, 2197, 10.1001/jama.1992.03480160055034

10.2106/00004623-199173060-00003

10.1056/NEJM198904273201705

10.1097/00005650-199302000-00005

10.1002/art.1780370512

10.1001/jama.1988.03410150088036

10.1001/jama.1991.03470010077034

10.1016/0895-4356(92)90133-8

Iezzoni L, 1997, Risk adjustment for measuring health care outcomes

10.2307/2136734

10.1016/0895-4356(89)90119-4

10.1093/oxfordjournals.aje.a114319

10.1097/00005650-199601000-00006

Greenfield S, 1995, Development and testing of a new measure of case mix for use in office practice, Med Care, 33, AS47

10.1016/0021-9681(87)90171-8

10.1111/j.1532-5415.1968.tb02103.x

10.1097/00005650-199302000-00005

10.1097/00005650-199206000-00002

10.1037/0033-2909.86.2.420

10.2307/2529310

Kleinbaum DG, 1988, Applied regression analysis and other multivariate methods, 80

Ware JE, 1994, SF‐36 Physical and Mental Health Summary Scales: a users manual

Ware JE, 1995, Comparison of methods for the scoring and statistical analysis of SF‐36 profile and summary measures: summary of results from the Medical Outcomes Study, Med Care, 33, AS264