Predictors of Engagement in Community-based Residential Mental Health Rehabilitation: Modelling of a cross-sectional Statewide Benchmarking Dataset from Queensland, Australia

Engaging residents with the support available at community-based residential mental health rehabilitation facilities is an ongoing challenge for health services. This study explored factors associated with residential rehabilitation engagement across Queensland, Australia through regression modelling of cross-sectional data from a statewide benchmarking activity completed in 2023 (n = 208). The Residential Rehabilitation Engagement Scale (RRES) assessed each resident's rehabilitation engagement. A broad range of potential predictors were considered, including resident and unit-level variables. Only 45.2% of residents had an average RRES score consistent with being engaged with rehabilitation support usually or always. Higher levels of rehabilitation engagement were significantly associated with lower levels of psychosocial disability (B = - 0.413, p < .001), length of treatment (B = - 0.165, p = .008), care under the integrated staffing model (B = 0.156, p = .012), higher staff recovery knowledge and attitudes (B = 0.138, p = .037), and physical illness or disability (B = 0.129, p = .045). In conclusion, engagement in residential rehabilitation was associated with both resident and staff factors. The observation that engagement was higher where unit staff endorsed recovery knowledge and attitudes, and under the integrated staffing model is important. This suggests potential modifiable service characteristics that may support improved rehabilitation engagement in the future.

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Publication Details

Journal
Community Mental Health Journal
Published
2025-09-10
DOI
https://doi.org/10.1007/s10597-025-01512-6
Primary Topic
Geriatric Care and Nursing Homes
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictors of Engagement in Community-based Residential Mental Health Rehabilitation: Modelling of a cross-sectional Statewide Benchmarking Dataset from Queensland, Australia

Stephen Parker, Terry Stedman, Donna Jones, Olivia Falvey
Community Mental Health Journal
Geriatric Care and Nursing Homes
article

Predictors of Engagement in Community-based Residential Mental Health Rehabilitation: Modelling of a cross-sectional Statewide Benchmarking Dataset from Queensland, Australia

Stephen Parker, Terry Stedman, Donna Jones, Olivia Falvey
article en

Abstract

Engaging residents with the support available at community-based residential mental health rehabilitation facilities is an ongoing challenge for health services. This study explored factors associated with residential rehabilitation engagement across Queensland, Australia through regression modelling of cross-sectional data from a statewide benchmarking activity completed in 2023 (n = 208). The Residential Rehabilitation Engagement Scale (RRES) assessed each resident's rehabilitation engagement. A broad range of potential predictors were considered, including resident and unit-level variables. Only 45.2% of residents had an average RRES score consistent with being engaged with rehabilitation support usually or always. Higher levels of rehabilitation engagement were significantly associated with lower levels of psychosocial disability (B = - 0.413, p < .001), length of treatment (B = - 0.165, p = .008), care under the integrated staffing model (B = 0.156, p = .012), higher staff recovery knowledge and attitudes (B = 0.138, p = .037), and physical illness or disability (B = 0.129, p = .045). In conclusion, engagement in residential rehabilitation was associated with both resident and staff factors. The observation that engagement was higher where unit staff endorsed recovery knowledge and attitudes, and under the integrated staffing model is important. This suggests potential modifiable service characteristics that may support improved rehabilitation engagement in the future.

Community Mental Health JournalVol. 62(1)
The University of Queensland (AU), Queensland Centre for Mental Health Research (AU)
Metro North Hospital and Health Service
Openalex Percentile: Top 62%
Geriatric Care and Nursing Homes
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Predictors of Engagement in Community-based Residential Mental Health Rehabilitation: Modelling of a cross-sectional Statewide Benchmarking Dataset from Queensland, Australia — Stephen Parker, Terry Stedman, et al. · Community Mental Health Journal (2025) | TGRS Research Map | TGRS