Newcastle Business School, The University of Newcastle, Newcastle, Australia.
School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.
PLoS One. 2021 Nov 22;16(11):e0259995. doi: 10.1371/journal.pone.0259995. eCollection 2021.
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.
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.
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.
数字技术有可能改善碎片化且资金不足的精神卫生系统的健康结果和卫生系统绩效。尽管有这种潜力，但数字技术工具在精神卫生系统中的整合相对较差。这是一项综合定性证据的方案，旨在确定将数字技术整合到精神卫生系统中的障碍和促进因素，并将其在个人、组织和系统层面的情境领域中进行分类。
将应用 Lockwood 等人描述的系统评价定性证据的方法框架来进行这项综述。与一位经验丰富的高级健康研究图书管理员合作，制定了一份草案搜索策略。将对 Medline、Embase、Scopus、PsycInfo、Web of Science 和 Google Scholar 进行系统搜索，并对手头的参考文献和综述进行手动搜索，以确定纳入的相关研究。将由两位作者独立进行研究选择，如果存在分歧，则通过协商解决。使用 JBI 定性研究批判性评价清单评估选定研究的质量。使用 JBI QUARI 定性研究数据提取工具对数据进行图表绘制。使用归纳主题分析和预先设定的概念框架对发现进行定义和分类。将根据增强定性研究综合报告透明度的原则报告结果。使用 GRADE-CERQual 评估发现的置信度水平。
这项研究不需要伦理批准。系统评价将为改善数字技术在精神卫生保健系统中的整合提供政策和实践信息。
