Kenneth A McLean, Stephen R Knight, Thomas M Diehl, Syed Nabeel Zafar, Matt Bouamrane, Ewen M Harrison
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This study aimed to identify DHIs implemented and evaluated in postoperative care to highlight research gaps and assess the readiness for routine implementation.</p><p><strong>Methods: </strong>A systematic review will be conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify studies describing the implementation and evaluation of DHIs for postoperative monitoring published since 2000 (PROSPERO ID: CRD42021264289). This will encompass the Embase, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science and ClinicalTrials.gov databases, and manual search of bibliographies for relevant studies and gray literature. Methodological reporting quality will be evaluated using the Idea, Development, Exploration, Assessment and Long-term Follow-up (IDEAL) reporting guideline relevant to the IDEAL stage of the study, and risk of bias will be assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework. Data will be extracted according to the WHO framework for monitoring and evaluating DHIs, and a narrative synthesis will be performed.</p><p><strong>Discussion: </strong>This review will assess the readiness for implementation of DHIs for routine postoperative monitoring and will include studies describing best practice from service changes already being piloted out of necessity during the COVID-19 pandemic. 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引用次数: 2
摘要
导言:术后是患者发病的高危期,需要进行有效的监测。虽然用于术后监测的数字健康干预措施(DHIs)很有前景,但目前缺乏一种协调、标准化和基于证据的方法来实施和评估。本研究旨在确定DHIs在术后护理中的实施和评估,以突出研究差距并评估常规实施的准备情况。方法:根据系统评价和荟萃分析指南的首选报告项目进行系统评价,以确定自2000年以来发表的描述DHIs用于术后监测的实施和评估的研究(PROSPERO ID: CRD42021264289)。这将包括Embase、护理和相关健康文献累积索引、Cochrane图书馆、Web of Science和ClinicalTrials.gov数据库,以及人工搜索相关研究和灰色文献的书目。方法学报告的质量将使用与研究的理想阶段相关的构想、发展、探索、评估和长期随访(IDEAL)报告指南进行评估,偏倚风险将使用建议、评估、发展和评估分级(GRADE)框架进行评估。将根据世卫组织监测和评价卫生保健的框架提取数据,并进行叙述综合。讨论:本次审查将评估实施DHIs用于常规术后监测的准备情况,并将包括描述在2019冠状病毒病大流行期间出于必要已经试点的服务变革的最佳实践的研究。这将确定有足够证据的干预措施,以进入理想的下一个阶段,并促进对未来实施研究的标准化和全面评价。
Development stage of novel digital health interventions for postoperative monitoring: protocol of a systematic review.
Introduction: The postoperative period represents a time where patients are at a high-risk of morbidity, which warrants effective surveillance. While digital health interventions (DHIs) for postoperative monitoring are promising, a coordinated, standardized and evidence-based approach regarding their implementation and evaluation is currently lacking. This study aimed to identify DHIs implemented and evaluated in postoperative care to highlight research gaps and assess the readiness for routine implementation.
Methods: A systematic review will be conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify studies describing the implementation and evaluation of DHIs for postoperative monitoring published since 2000 (PROSPERO ID: CRD42021264289). This will encompass the Embase, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science and ClinicalTrials.gov databases, and manual search of bibliographies for relevant studies and gray literature. Methodological reporting quality will be evaluated using the Idea, Development, Exploration, Assessment and Long-term Follow-up (IDEAL) reporting guideline relevant to the IDEAL stage of the study, and risk of bias will be assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework. Data will be extracted according to the WHO framework for monitoring and evaluating DHIs, and a narrative synthesis will be performed.
Discussion: This review will assess the readiness for implementation of DHIs for routine postoperative monitoring and will include studies describing best practice from service changes already being piloted out of necessity during the COVID-19 pandemic. This will identify interventions with sufficient evidence to progress to the next IDEAL stage, and promote standardized and comprehensive evaluation of future implementational studies.