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Thomas EE, Taylor ML, Banbury A, Snoswell CL, Haydon HM, Gallegos Rejas VM, Smith AC, Caffery LJ. Factors influencing the effectiveness of remote patient monitoring interventions: a realist review. BMJ Open 2021; 11:e051844. [PMID: 34433611 PMCID: PMC8388293 DOI: 10.1136/bmjopen-2021-051844] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 08/09/2021] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES Our recent systematic review determined that remote patient monitoring (RPM) interventions can reduce acute care use. However, effectiveness varied within and between populations. Clinicians, researchers, and policymakers require more than evidence of effect; they need guidance on how best to design and implement RPM interventions. Therefore, this study aimed to explore these results further to (1) identify factors of RPM interventions that relate to increased and decreased acute care use and (2) develop recommendations for future RPM interventions. DESIGN Realist review-a qualitative systematic review method which aims to identify and explain why intervention results vary in different situations. We analysed secondarily 91 studies included in our previous systematic review that reported on RPM interventions and the impact on acute care use. Online databases PubMed, EMBASE and CINAHL were searched in October 2020. Included studies were published in English during 2015-2020 and used RPM to monitor an individual's biometric data (eg, heart rate, blood pressure) from a distance. PRIMARY AND SECONDARY OUTCOME MEASURES Contextual factors and potential mechanisms that led to variation in acute care use (hospitalisations, length of stay or emergency department presentations). RESULTS Across a range of RPM interventions 31 factors emerged that impact the effectiveness of RPM innovations on acute care use. These were synthesised into six theories of intervention success: (1) targeting populations at high risk; (2) accurately detecting a decline in health; (3) providing responsive and timely care; (4) personalising care; (5) enhancing self-management, and (6) ensuring collaborative and coordinated care. CONCLUSION While RPM interventions are complex, if they are designed with patients, providers and the implementation setting in mind and incorporate the key variables identified within this review, it is more likely that they will be effective at reducing acute hospital events. PROSPERO REGISTRATION NUMBER CRD42020142523.
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Affiliation(s)
- Emma E Thomas
- Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Monica L Taylor
- Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Annie Banbury
- Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Centaine L Snoswell
- Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Helen M Haydon
- Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Victor M Gallegos Rejas
- Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Anthony C Smith
- Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Innovative Technology, University of Southern Denmark, Odense, Denmark
| | - Liam J Caffery
- Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
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Chen LC, Chen CW, Weng YC, Shang RJ, Yu HC, Chung Y, Lai F. An information technology framework for strengthening telehealthcare service delivery. Telemed J E Health 2013; 18:596-603. [PMID: 23061641 DOI: 10.1089/tmj.2011.0267] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Telehealthcare has been used to provide healthcare service, and information technology infrastructure appears to be essential while providing telehealthcare service. Insufficiencies have been identified, such as lack of integration, need of accommodation of diverse biometric sensors, and accessing diverse networks as different houses have varying facilities, which challenge the promotion of telehealthcare. This study designs an information technology framework to strengthen telehealthcare delivery. MATERIALS AND METHODS The proposed framework consists of a system architecture design and a network transmission design. The aim of the framework is to integrate data from existing information systems, to adopt medical informatics standards, to integrate diverse biometric sensors, and to provide different data transmission networks to support a patient's house network despite the facilities. The proposed framework has been evaluated with a case study of two telehealthcare programs, with and without the adoption of the framework. RESULTS The proposed framework facilitates the functionality of the program and enables steady patient enrollments. The overall patient participations are increased, and the patient outcomes appear positive. The attitudes toward the service and self-improvement also are positive. CONCLUSIONS The findings of this study add up to the construction of a telehealthcare system. Implementing the proposed framework further assists the functionality of the service and enhances the availability of the service and patient acceptances.
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Affiliation(s)
- Li-Chin Chen
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
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