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Development stage of novel digital health interventions for postoperative monitoring: protocol of a systematic review.
McLean, Kenneth A; Knight, Stephen R; Diehl, Thomas M; Zafar, Syed Nabeel; Bouamrane, Matt; Harrison, Ewen M.
  • McLean KA; Centre for Medical Informatics, The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Knight SR; Centre for Medical Informatics, The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Diehl TM; Department of Surgery, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Zafar SN; Department of Surgery, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Bouamrane M; Centre for Medical Informatics, The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Harrison EM; Centre for Medical Informatics, The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
BMJ Surg Interv Health Technol ; 4(1): e000104, 2022.
Article in English | MEDLINE | ID: covidwho-1759375
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: BMJ Surg Interv Health Technol Year: 2022 Document Type: Article Affiliation country: Bmjsit-2021-000104

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: BMJ Surg Interv Health Technol Year: 2022 Document Type: Article Affiliation country: Bmjsit-2021-000104