Culture-based prescribing to improve mental health: a scoping review protocol

Author:

Bekkering Geertruida E.12ORCID,Corremans Marleen13ORCID,Gemignani Marco4,Gerber Nancy5,Godderis Lode67,Kaewma Sumuttana8,Khammathit Adchara8,Steel Jonas6,Hannes Karin19

Affiliation:

1. JBI Belgium: A JBI Affiliated Group, Leuven, Belgium

2. Department of Public Health and Primary Care, KU Leuven, Belgium

3. Karel de Grote University of Applied Sciences and Arts, Antwerp, Belgium

4. Psychology Department, Universidad Loyola, Sevilla, Spain

5. Department of Art Education, Art Therapy Program, Florida State University, Tallahassee, Florida, USA

6. Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium

7. Group IDEWE, External Service for Prevention and Protection at Work, Heverlee, Belgium

8. The Centre for Nursing Education BCNU Thailand: A JBI Affiliated Group, Boromarajonani College of Nursing, Udon Thani, Thailand

9. Research Group SoMeTHin'K, Faculty of Social Science, KU Leuven, Leuven, Belgium

Abstract

Objective: The objective of this review is to investigate what is known about culture-based prescribing to improve mental health and well-being. Introduction: Culture-based prescribing, where a person is referred by a clinical professional to an arts or cultural activity aimed at improving mental health and well-being, is increasingly used as a community-based source of support. Although culture-based prescribing seems promising, the field is heterogeneous with respect to definition, underlying hypotheses, and cultural activity. This hampers its further development and implementation. Inclusion criteria: We will consider publications that report on or explore culture-based prescribing to improve mental health and well-being for adults with symptoms related to mental health conditions who are seeking care from any clinical professional. Methods: We will search 8 electronic literature databases for published or unpublished reports on culture-based prescribing, without date limits. We will also search for gray literature and screen reference lists of relevant reviews. No language restrictions will be applied during the screening process, but for data extraction, we will only extract studies in languages our team has proficiency in. The screening and data extraction will be performed by 2 reviewers, independently. Data analysis will be descriptive, with results tabulated separately for each subquestion. The results will be complemented with a narrative summary. Review registration: Open Science Framework https://osf.io/ndbqj

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Nursing

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