■在初级卫生保健(PHC)中使用数字医疗有助于降低成本和旅行时间,实现全球发展目标,改善访问,护理的质量和纵向,管理健康危机。其评估必须超越技术操作方面,包括患者满意度,评估护理质量的关键因素。
■识别和绘制患者满意度(期望,欲望,文化价值观)关于采用数字健康策略并评估其对PHC护理质量的影响。
■审查将遵循乔安娜·布里格斯研究所(JBI)手册提出的建议,系统审查和Meta分析扩展的首选报告项目(PRISMA-ScR)以及Arksey和O\'Malley和Levac等人提出的方法。将分九个阶段进行。搜索将在健康研究数据库中进行(MEDLINE通过PubMed,EMBASE,CINAHL,WebofScience,和BVS),灰色文学,和预印存储库(谷歌学者和MedRxiv)。两名评审员将选择这些研究,第三个将分析可能的冲突。纳入标准包括已全部提供的研究,无论是初级研究还是短期交流,以及从灰色文献中提取的以下材料:预印本,手册,政府文件,书籍,指导方针,论文和论文。排除标准包括文献综述,摘要,书籍,会议档案,给编辑的信,重复和意见文章。数据将通过内容分析和推理统计进行分析。该协议在开放科学框架(OSF)的DOI10.17605/OSF下注册。IO/PUJDB。
■该研究旨在了解与期望相关的方面,欲望,以及不同国家患者的文化价值观,以及使用数字健康对PHC护理质量的优势和关键节点。
UNASSIGNED: Using digital health in primary health care (PHC) contributes to reducing costs and travel time, achieving global development goals, improving access, quality and longitudinality of care, and managing health crises. Its evaluation must go beyond the technical-operational aspects to include patient satisfaction, a key element in assessing the quality of care.
UNASSIGNED: To identify and map patient satisfaction (expectations, desires, cultural values) about the adoption of digital health strategies and assess their impact on the quality of care in PHC.
UNASSIGNED: The review will follow the recommendations proposed by the Joanna\'s Briggs Institute (JBI) manual, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) and the methodology proposed by Arksey and O\'Malley and Levac et al. and will be conducted in nine stages. The search will be conducted in health studies databases (MEDLINE via PubMed, EMBASE, CINAHL, Web of Science, and BVS), gray literature, and preprint repositories (Google Scholar and MedRxiv). Two reviewers will select the studies, and the third will analyze possible conflicts. The inclusion criteria comprise studies that have been made available in their entirety, whether they are primary studies or short communications, as well as the following materials extracted from the gray literature: preprints, manuals, government documents, books, guidelines, theses and dissertations. Exclusion criteria include literature reviews, abstracts, books, conference archives, letters to the editor, duplicates and opinion articles. Data will be analyzed by content analysis and inferential statistics. This protocol is registered on the Open Science Framework (OSF) under DOI 10.17605/OSF.IO/PUJDB.
UNASSIGNED: The study aims to understand aspects related to the expectations, desires, and cultural values of patients from different countries, as well as the strengths and critical nodes of the use of digital health on the quality of care in PHC.