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Barriers and facilitators to the integration of digital technologies in mental health systems: A protocol for a qualitative systematic review.
Berardi, Chiara; Hinwood, Madeleine; Smith, Angela; Melia, Adrian; Paolucci, Francesco.
  • Berardi C; Newcastle Business School, The University of Newcastle, Newcastle, Australia.
  • Hinwood M; School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.
  • Smith A; Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
  • Melia A; Hunter New England Health Libraries, Hunter New England Local Health District, New Lambton, New South Wales, Australia.
  • Paolucci F; Newcastle Business School, The University of Newcastle, Newcastle, Australia.
PLoS One ; 16(11): e0259995, 2021.
Article in English | MEDLINE | ID: covidwho-1533419
ABSTRACT

INTRODUCTION:

Digital technology has the potential to improve health outcomes and health system performance in fragmented and under-funded mental health systems. Despite this potential, the integration of digital technology tools into mental health systems has been relatively poor. This is a protocol for a synthesis of qualitative evidence that will aim to determine the barriers and facilitators to integrating digital technologies in mental health systems and classify them in contextual domains at individual, organisational and system levels. METHODS AND

ANALYSIS:

The methodological framework for systematic review of qualitative evidence described in Lockwood et al. will be applied to this review. A draft search strategy was developed in collaboration with an experienced senior health research librarian. A systematic search of Medline, Embase, Scopus, PsycInfo, Web of Science and Google Scholar, as well as hand searching of reference lists and reviews will identify relevant studies for inclusion. Study selection will be carried out independently by two authors, with discrepancies resolved by consensus. The quality of selected studies will be assessed using JBI Critical Appraisal Checklist for Qualitative Research. Data will be charted using JBI QUARI Data Extraction Tool for Qualitative Research. Findings will be defined and classified both deductively in a priori conceptual framework and inductively by a thematic analysis. Results will be reported based on the Enhancing transparency in reporting the synthesis of qualitative research. The level of confidence of the findings will be assessed using GRADE-CERQual. ETHICS AND DISSEMINATION This study does not require ethics approval. The systematic review will inform policy and practices around improving the integration of digital technologies into mental health care systems.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Systematic Reviews as Topic / Health Services Accessibility / Mental Health Services Type of study: Qualitative research / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0259995

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Systematic Reviews as Topic / Health Services Accessibility / Mental Health Services Type of study: Qualitative research / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0259995