Depressive symptoms and history of depression predict rehabilitation efficiency in stroke patients
Abstract
Objective To examine how depressive symptoms, a history of depression, and cognitive functioning contribute to the prediction of rehabilitation efficiency in stroke patients. Design Consecutive admissions to an acute inpatient rehabilitation program were screened for cognitive functioning and level of depressive symptoms. History of depression was determined by family member interview. Functional status was evaluated at time of admission and discharge. Depressive symptoms, depression history, and cognitive functioning were examined as predictors of length of stay (LOS) and efficiency of utilization of rehabilitation services. Setting Acute inpatient rehabilitation hospital. Patients A total of 348 consecutive stroke admissions to an inpatient program were evaluated for depression and cognitive functioning, of whom 243 patients completed all aspects of the screening. Interventions Not applicable. Main outcome measures Rehabilitation progress, measured with the LOS efficiency measure (LOS-EFF) of the FIM instrument, and length of rehabilitation hospital stay. Results Patients with higher levels of depressive symptoms used rehabilitation services less efficiently than those with lower symptom levels but did not have longer LOSs. History of depression was associated with longer LOS and less efficient use of rehabilitation services. Cognitive impairment did not predict rehabilitation efficiency. Conclusions The present study lends further support to the benefits of screening stroke patients at the time of rehabilitation admission for depression and history of depression. Identifying patients who have high levels of depressive symptoms and/or a previous depressive episode will allow more comprehensive assessment and rapid intervention.
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Unmet psychological needs potentially hamper recovery and add to the health service resource burden produced by long-term conditions, highlighting the pressing need to evaluate a greater range of therapeutic approaches for stroke with a focus on cost-effective delivery formats such as group-based interventions.
“This potentially hampers recovery (Gillen et al., 2001) and adds to the health service resource burden produced by long-term conditions (Department of Health, 2012), thus highlighting the pressing need to evaluate a greater range of therapeutic approaches for stroke (Kangas & McDonald, 2011;Soo, Tate, & Lane-Brown, 2011) with a focus on cost-effective delivery formats, such as group-based”
From Brief group‐based acceptance and commitment therapy for stroke survivors. (2019) · cites this paper as Gillen et al., 2001
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- Authors
- Gillen, R., Tennen, H., McKee, T. E., Gernert-Dott, P., & Affleck, G.
- Affiliations
- University of Connecticut (US)
- Venue
- Archives of Physical Medicine and Rehabilitation
- Publisher
- Elsevier BV
- Published
- 2001-12
- Volume
- 82
- Issue
- 12
- Pages
- 1645-1649
- ISSN
- 0003-9993 (ISSN-L)
- OpenAlex
- W2044493425
- Cited by
- 287
- References
- 2
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 9 · 2023: 24 · 2022: 16 · 2021: 11 · 2020: 16 · 2019: 9 · 2018: 14 · 2017: 7 · 2016: 17 · 2015: 15 · 2014: 13 · 2013: 20 · 2012: 7
- FWCI
- 3.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Physical Medicine and Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Medical Practices and Rehabilitation
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Keywords
- stroke, depressive symptoms, history of depression, depression screening, cognitive impairment, rehabilitation efficiency, length of hospital stay, Functional Independence Measure, inpatient rehabilitation, rehabilitation utilization
- MeSH terms
- Stroke Rehabilitation, Aged, Analysis of Variance, Cognition Disorders, Depression, Female, Humans, Length of Stay, Male, Prognosis, Risk Factors, Proportional Hazards Models, Stroke
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