Alana Delaforce, Emma Maddock, Pamela Wheeler, Rajiv Jayasena, Joy Parkinson
{"title":"Factors that influence the uptake of virtual care solutions in Australian primary care practice: a systematic scoping review.","authors":"Alana Delaforce, Emma Maddock, Pamela Wheeler, Rajiv Jayasena, Joy Parkinson","doi":"10.1097/XEB.0000000000000475","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Uptake of virtual care solutions in primary care settings has increased exponentially, and current evidence suggests high patient satisfaction but mixed clinician views.</p><p><strong>Aims: </strong>This paper aimed to identify factors influencing its' implementation to support delivery to the right patient, in the right clinical context, at the right time. Further, this paper evaluates how the updated Consolidated Framework for Implementation Research (CFIR) can be used to assess these factors that contribute to the uptake of virtual care innovations.</p><p><strong>Methods: </strong>This systematic scoping review identified empirical research on factors influencing the uptake of virtual care solutions in the Australian primary care setting. Searches were undertaken in Embase, PubMed, Scopus, and Web of Science. The CFIR was used to code factors influencing the implementation of virtual care solutions. Inductive coding was used to generate new constructs where no appropriate CFIR construct could be identified.</p><p><strong>Results: </strong>Fourteen eligible studies were identified as eligible for inclusion. Five common influencing factors were identified. Three are from the existing CFIR framework, and two are newly developed constructs. CFIR constructs included innovation relative advantage, capability, and IT infrastructure. New constructs included accessibility and suitability. A further six new constructs were identified (trust, privacy, governance, unintended consequences, preference, and choice) but these were not prominently mentioned.</p><p><strong>Conclusions: </strong>Common factors influence virtual care uptake in Australian primary care. The CFIR assisted in conceptualizing these but was not sufficient for capturing factors unique to virtual care. Newly developed constructs are noted to be of importance in the literature, but further research is needed to understand whether they are applicable in multiple contexts.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A286.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jbi Evidence Implementation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/XEB.0000000000000475","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Uptake of virtual care solutions in primary care settings has increased exponentially, and current evidence suggests high patient satisfaction but mixed clinician views.
Aims: This paper aimed to identify factors influencing its' implementation to support delivery to the right patient, in the right clinical context, at the right time. Further, this paper evaluates how the updated Consolidated Framework for Implementation Research (CFIR) can be used to assess these factors that contribute to the uptake of virtual care innovations.
Methods: This systematic scoping review identified empirical research on factors influencing the uptake of virtual care solutions in the Australian primary care setting. Searches were undertaken in Embase, PubMed, Scopus, and Web of Science. The CFIR was used to code factors influencing the implementation of virtual care solutions. Inductive coding was used to generate new constructs where no appropriate CFIR construct could be identified.
Results: Fourteen eligible studies were identified as eligible for inclusion. Five common influencing factors were identified. Three are from the existing CFIR framework, and two are newly developed constructs. CFIR constructs included innovation relative advantage, capability, and IT infrastructure. New constructs included accessibility and suitability. A further six new constructs were identified (trust, privacy, governance, unintended consequences, preference, and choice) but these were not prominently mentioned.
Conclusions: Common factors influence virtual care uptake in Australian primary care. The CFIR assisted in conceptualizing these but was not sufficient for capturing factors unique to virtual care. Newly developed constructs are noted to be of importance in the literature, but further research is needed to understand whether they are applicable in multiple contexts.