Predicting Good Active Support for People with Intellectual Disabilities in Supported Accommodation Services: Key Messages for Providers, Consumers and Regulators
Saved in:
| Title: | Predicting Good Active Support for People with Intellectual Disabilities in Supported Accommodation Services: Key Messages for Providers, Consumers and Regulators |
|---|---|
| Language: | English |
| Authors: | Bigby, Christine (ORCID |
| Source: | Journal of Intellectual & Developmental Disability. 2020 45(3):279-289. |
| Availability: | Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 11 |
| Publication Date: | 2020 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Intellectual Disability, Predictor Variables, Foreign Countries, Residential Programs, Leadership Responsibility, Individual Characteristics, Age Differences, Gender Differences, Behavior Problems, Interpersonal Competence, Staff Role, Employee Attitudes, Staff Development |
| Geographic Terms: | Australia |
| Assessment and Survey Identifiers: | Adaptive Behavior Scale, Aberrant Behavior Checklist |
| DOI: | 10.3109/13668250.2019.1685479 |
| ISSN: | 1366-8250 |
| Abstract: | Background: There is strong evidence about the effectiveness of Active Support. Recent research has established predictors of good Active Support as staff training, practice leadership, and service setting size. This paper explores features of organisational leadership and structures predictive of Active Support. Methods: Multilevel modelling with data from surveys, observations and interviews was used to identify predictors of Active Support at the levels of service users (n = 253), services (n = 71) and organisations (n = 14). Results: Good Active Support was predicted by: (1) positive staff perceptions of management, (2) prioritisation of practice and Active Support by senior managers, (3) strong management support for practice leadership, (4) organisation of practice leadership close to everyday service delivery, and (5) concentration of practice leadership with frontline management. Conclusion: These findings extend understanding of predictors of Active Support and provide indicators of service quality, with important implications for service providers, service users and those monitoring the quality of services. |
| Abstractor: | As Provided |
| Entry Date: | 2020 |
| Accession Number: | EJ1261398 |
| Database: | ERIC |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | Background: There is strong evidence about the effectiveness of Active Support. Recent research has established predictors of good Active Support as staff training, practice leadership, and service setting size. This paper explores features of organisational leadership and structures predictive of Active Support. Methods: Multilevel modelling with data from surveys, observations and interviews was used to identify predictors of Active Support at the levels of service users (n = 253), services (n = 71) and organisations (n = 14). Results: Good Active Support was predicted by: (1) positive staff perceptions of management, (2) prioritisation of practice and Active Support by senior managers, (3) strong management support for practice leadership, (4) organisation of practice leadership close to everyday service delivery, and (5) concentration of practice leadership with frontline management. Conclusion: These findings extend understanding of predictors of Active Support and provide indicators of service quality, with important implications for service providers, service users and those monitoring the quality of services. |
|---|---|
| ISSN: | 1366-8250 |
| DOI: | 10.3109/13668250.2019.1685479 |
