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Godwin KM, Morgan RO, Walder A, et al. Predictors of Inpatient Utilization among Veterans with Dementia. Curr Gerontol Geriatr Res. 2014;2014:861613doi: 10.1155/2014/861613.
Godwin, K. M., Morgan, R. O., Walder, A., Bass, D. M., Judge, K. S., Wilson, N., Snow, A. L., & Kunik, M. E. (2014). Predictors of Inpatient Utilization among Veterans with Dementia. Current gerontology and geriatrics research, 2014861613. https://doi.org/10.1155/2014/861613
Godwin, Kyler M, et al. "Predictors of Inpatient Utilization among Veterans with Dementia." Current gerontology and geriatrics research vol. 2014 (2014): 861613. doi: https://doi.org/10.1155/2014/861613
Godwin KM, Morgan RO, Walder A, Bass DM, Judge KS, Wilson N, Snow AL, Kunik ME. Predictors of Inpatient Utilization among Veterans with Dementia. Curr Gerontol Geriatr Res. 2014;2014:861613. doi: 10.1155/2014/861613. Epub 2014 May 29. PMID: 24982674; PMCID: PMC4058849.
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Curr Gerontol Geriatr Res. 2014;2014:861613. doi: 10.1155/2014/861613. Epub 2014 May 29.

Predictors of Inpatient Utilization among Veterans with Dementia.

Current gerontology and geriatrics research

Kyler M Godwin, Robert O Morgan, Annette Walder, David M Bass, Katherine S Judge, Nancy Wilson, A Lynn Snow, Mark E Kunik

Affiliations

  1. Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, (MEDVAMC 152), 2002 Holcombe Boulevard, Houston, TX 77030, USA ; Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA ; Memorial Hermann Hospital, Houston, 6411 Fannin, TX 77030, USA.
  2. The University of Texas School of Public Health, 1200 Herman Pressler, Rm. E-343, Houston, TX 77030, USA.
  3. Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, (MEDVAMC 152), 2002 Holcombe Boulevard, Houston, TX 77030, USA ; Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
  4. Margaret Blenkner Research Institute, Benjamin Rose Institute on Aging, 11890 Fairhill Road, Cleveland, OH 44120, USA.
  5. Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, USA.
  6. Center for Mental Health and Aging and Department of Psychology, The University of Alabama, P.O. Box 870315, Tuscaloosa, AL 35487, USA ; Tuscaloosa VA Medical Center, 3701 Loop Road, Tuscaloosa, AL 35404, USA.
  7. Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, (MEDVAMC 152), 2002 Holcombe Boulevard, Houston, TX 77030, USA ; Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA ; VA South Central Mental Illness Research, Education and Clinical Center (A Virtual Center), USA.

PMID: 24982674 PMCID: PMC4058849 DOI: 10.1155/2014/861613

Abstract

Dementia is prevalent and costly, yet the predictors of inpatient hospitalization are not well understood. Logistic and negative binomial regressions were used to identify predictors of inpatient hospital utilization and the frequency of inpatient hospital utilization, respectively, among veterans. Variables significant at the P < 0.15 level were subsequently analyzed in a multivariate regression. This study of veterans with a diagnosis of dementia (n = 296) and their caregivers found marital status to predict hospitalization in the multivariate logistic model (B = 0.493, P = 0.029) and personal-care dependency to predict hospitalization and readmission in the multivariate logistic model and the multivariate negative binomial model (B = 1.048, P = 0.007, B = 0.040, and P = 0.035, resp.). Persons with dementia with personal-care dependency and spousal caregivers have more inpatient admissions; appropriate care environments should receive special care to reduce hospitalization. This study was part of a larger clinical trial; this trial is registered with ClinicalTrials.gov NCT00291161.

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