Potential predictive factors for successful referral from specialist mental-health services to less intensive treatment : A concept mapping study
Potential predictive factors for successful referral from specialist mental-health services to less intensive treatment : A concept mapping study
Samenvatting
Referring patients from specialist mental-health services (provided by multiple healthcare service providers and aimed at relieving symptoms of mental illness) to less intensive care (provided by a nurse or psychologist in cooperation with a general practitioner and aimed at improving quality of life) is feasible from the perspective of patients, service providers, and mental-health services. However, it is unclear which patients are most suitable for referral to less intensive care. In this study, we used concept mapping to identify factors that might determine whether a referral from specialist mental services to less intensive care might be successful. Participants (N = 34) were recruited from different parts of the Netherlands and included general practitioners, peer workers, community mental-health nurses, and social workers from several services who were based in different neighborhoods. The participants generated 54 statements (31 after clean-up), which were sorted into five clusters and rated on their expected ability to predict successful referral. Ordered from highest to lowest on expected predictive value, the clusters of factors were: Patient characteristics, patients’ informal support system, patients’ social situation, organization of services, and service provider related factors. The ordering was the same for all of the service providers, except that general practitioners expected the organization of services to be the most predictive. The ordering of the clusters is mostly consistent with existing knowledge about recovery during mental healthcare. In order to further improve the number of successful referrals from specialist mental-health services to less intensive care, a prospective prediction study is needed.
Organisatie | HAN University of Applied Sciences |
Afdeling | Academie Mens en Maatschappij |
Lectoraten | |
Academie Organisatie en Ontwikkeling | |
Lectoraat | Onbegrepen gedrag, Zorg en Samenleving |
Logistiek en Allianties | |
Gepubliceerd in | PLoS One Public Library of Science, Pagina's: 1-14 |
Jaar | 2018 |
Type | Artikel |
DOI | 10.1371/journal.pone.0199668 |
Taal | Onbekend |