The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Performance of Case‐Finding Tools for Depression in the Nursing Home: Influence of Clinical and Functional Characteristics and Selection of Optimal Threshold Scores
Abstract
OBJECTIVE: To compare case‐finding tools for depression in the nursing home setting and to evaluate effects of subject function, cognition, and disease number on test performance. DESIGN : Cross‐sectional survey. SETTING : One academic and four community homes. SUBJECTS : One hundred thirty‐four randomly selected, mildly cognitively impaired, functionally dependent residents. METHODS AND MEASURES : The Geriatric Depression Scale (GDS), Short Geriatric Depression Scale (SGDS), Center for Epidemiologic Studies Depression Scale (CES‐D), and Brief Carrol Depression Rating Scale (BCDRS) were administered. The Structured Clinical Interview for DSM‐III‐R diagnoses was administered independently. Operating characteristics and the effects of subject characteristics on test performance were evaluated using McNemar's test and logistic regression. Selection of “optimal” threshold scores was guided by Kraemer's quality indices and clinical judgment. RESULTS : Thirty‐five subjects (26%) had major depression. No differences were found among the instruments in sensitivity (range 0.74–0.89), specificity (range 0.62–0.77), or area under the receiver operating curve (ROC) (range 0.85–0.91). Resident characteristics did not affect test performance. Quality indices showed the GDS and BCDRS met criteria for moderate to substantial agreement with the criterion standard, whereas the SGDS and the CES‐D achieved only fair agreement. No change in threshold scores was warranted. CONCLUSIONS : The GDS and BCDRS performed well in the nursing home. As the GDS can serve as a both a case‐finding and severity instrument, it is preferred. Use of brief, interviewer‐administered tools may improve detection of depression in the nursing home.
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Cites
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation
Beck, A. T., Steer, R. A., & Carbin, M. G. (1988) · Clinical Psychology Review · doi:10.1016/0272-7358(88)90050-5 · Cited by 11,696
The Functioning and Well-being of Depressed Patients: Results From the Medical Outcomes Study
Wells, K. B. (1989) · JAMA · doi:10.1001/jama.1989.03430070062031 · Cited by 2,130 · cited 1×
“objectives were to: (1) compare feasibility (acceptability of the instrument to the nursing home resident and difficulty of administration) and operating characteristics (sensitivity, specificity, accuracy, and predictive value) of several instruments; (2) determine whether sociodemographic characteristics, functional…”
BackgroundWilamowska (2010) · doi:10.1001/archpsyc.1988.01800320058007 · Cited by 2,115
Introduction to sample size determination and power analysis for clinical trials
Lachin, J. M. (1981) · Controlled Clinical Trials · doi:10.1016/0197-2456(81)90001-5 · Cited by 1,012
6/Use of the Center for Epidemiological Studies-Depression Scale with Older Adults
Sawyer Radloff, L., & Teri, L. (1986) · Clinical Gerontologist · doi:10.1300/j018v05n01_06 · Cited by 768
Service utilization and social morbidity associated with depressive symptoms in the community
Johnson, J. (1992) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1992.03480110054033 · Cited by 726
Cited by
Development of a minimum data set-based depression rating scale for use in nursing homes
Burrows, A. (2000) · Age and Ageing · doi:10.1093/ageing/29.2.165 · Cited by 722
Nyunt, M. S. Z., Fones, C., Niti, M., & Ng, T.-P. (2009) · Aging & Mental Health · doi:10.1080/13607860902861027 · Cited by 414
The criterion validity of the Geriatric Depression Scale: a systematic review
Wancata, J., Alexandrowicz, R., Marquart, B., Weiss, M., & Friedrich, F. (2006) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2006.00888.x · Cited by 408
Diem, S. J. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.12.1240 · Cited by 326
Depressive Symptoms and 3-Year Mortality in Older Hospitalized Medical Patients
Covinsky, K. E., Kahana, E., Chin, M. H., Palmer, R. M., Fortinsky, R. H., & Landefeld, C. S. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-7-199904060-00004 · Cited by 266
Metadata
- Authors
- Gerety, M. B., Williams, J. W., Mulrow, C. D., Cornell, J. E., Kadri, A. A., Rosenberg, J., Chiodo, L. K., & Long, M.
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 1994-10
- Volume
- 42
- Issue
- 10
- Pages
- 1103-1109
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- OpenAlex
- W2021259730
- Cited by
- 175
- References
- 7
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gerety, M. B., Williams, J. W., Mulrow, C. D., Cornell, J. E., Kadri, A. A., Rosenberg, J., Chiodo, L. K., & Long, M. (1994). Performance of Case‐Finding Tools for Depression in the Nursing Home: Influence of Clinical and Functional Characteristics and Selection of Optimal Threshold Scores. Journal of the American Geriatrics Society. https://doi.org/10.1111/j.1532-5415.1994.tb06217.x
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