The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The self‐administered comorbidity questionnaire: A new method to assess comorbidity for clinical and health services research
Abstract
Objective: To 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. Methods: A 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. Results: The 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. Conclusion: The 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.
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The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
The MOS 36-ltem Short-Form Health Survey (SF-36): I. Conceptual Framework and Item Selection
Ware, J. E., & Sherbourne, C. D. (1992) · Medical Care · doi:10.1097/00005650-199206000-00002 · Cited by 30,033
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
DEYO, R. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90133-8 · Cited by 10,452
COLDITZ, G. A., MARTIN, P., STAMPFER, M. J., WILLETT, W. C., SAMPSON, L., ROSNER, B., HENNEKENS, C. H., & SPEIZER, F. E. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114319 · Cited by 992
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Diederichs, C., Berger, K., & Bartels, D. B. (2011) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glq208 · Cited by 693
Huntley, A. L., Johnson, R., Purdy, S., Valderas, J. M., & Salisbury, C. (2012) · The Annals of Family Medicine · doi:10.1370/afm.1363 · Cited by 619
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Riddle, D. L., Wade, J. B., Jiranek, W. A., & Kong, X. (2010) · Clinical Orthopaedics & Related Research · doi:10.1007/s11999-009-0963-y · Cited by 406
Bischoff-Ferrari, H. A., Vellas, B., Rizzoli, R., Kressig, R. W., da Silva, J. A. P., Blauth, M., Felson, D. T., McCloskey, E. V., Watzl, B., Hofbauer, L. C., et al. (2020) · JAMA · doi:10.1001/jama.2020.16909 · Cited by 353
Dunn, W. R., Kuhn, J. E., Sanders, R., An, Q., Baumgarten, K. M., Bishop, J. Y., Brophy, R. H., Carey, J. L., Holloway, G. B., Jones, G. L., et al. (2014) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.l.01304 · Cited by 226
Metadata
- Authors
- Sangha, O., Stucki, G., Liang, M. H., Fossel, A. H., & Katz, J. N.
- Venue
- Arthritis Care & Research
- Publisher
- Wiley
- Published
- 2003-04-04
- Volume
- 49
- Issue
- 2
- Pages
- 156-163
- ISSN
- 0893-7524 (ISSN-L)
- 1529-0123
- OpenAlex
- W2060319312
- Cited by
- 1,806
- References
- 5
- FWCI
- 6.05
- Type
- journal article
- Language
- en
- Open access
- closed
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