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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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Taylor ML, Thomas EE, Snoswell CL, Smith AC, Caffery LJ. Does remote patient monitoring reduce acute care use? A systematic review. BMJ Open 2021; 11:e040232. [PMID: 33653740 PMCID: PMC7929874 DOI: 10.1136/bmjopen-2020-040232] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 02/01/2021] [Accepted: 02/10/2021] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE Chronic diseases are associated with increased unplanned acute hospital use. Remote patient monitoring (RPM) can detect disease exacerbations and facilitate proactive management, possibly reducing expensive acute hospital usage. Current evidence examining RPM and acute care use mainly involves heart failure and omits automated invasive monitoring. This study aimed to determine if RPM reduces acute hospital use. METHODS A systematic literature review of PubMed, Embase and CINAHL electronic databases was undertaken in July 2019 and updated in October 2020 for studies published from January 2015 to October 2020 reporting RPM and effect on hospitalisations, length of stay or emergency department presentations. All populations and disease conditions were included. Two independent reviewers screened articles. Quality analysis was performed using the Joanna Briggs Institute checklist. Findings were stratified by outcome variable. Subgroup analysis was undertaken on disease condition and RPM technology. RESULTS From 2050 identified records, 91 studies were included. Studies were medium-to-high quality. RPM for all disease conditions was reported to reduce admissions, length of stay and emergency department presentations in 49% (n=44/90), 49% (n=23/47) and 41% (n=13/32) of studies reporting each measure, respectively. Remaining studies largely reported no change. Four studies reported RPM increased acute care use. RPM of chronic obstructive pulmonary disease (COPD) was more effective at reducing emergency presentation than RPM of other disease conditions. Similarly, invasive monitoring of cardiovascular disease was more effective at reducing hospital admissions versus other disease conditions and non-invasive monitoring. CONCLUSION RPM can reduce acute care use for patients with cardiovascular disease and COPD. However, effectiveness varies within and between populations. RPM's effect on other conditions is inconclusive due to limited studies. Further analysis is required to understand underlying mechanisms causing variation in RPM interventions. These findings should be considered alongside other benefits of RPM, including increased quality of life for patients. PROSPERO REGISTRATION NUMBER CRD42020142523.
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Affiliation(s)
- Monica L Taylor
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia
| | - Emma E Thomas
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia
| | - Centaine L Snoswell
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia
| | - Anthony C Smith
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia
| | - Liam J Caffery
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia
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Frommeyer G, Reinke F, Andresen D, Kleemann T, Spitzer SG, Jehle J, Brachmann J, Stellbrink C, Hochadel M, Senges J, Eckardt L. Implantable cardioverter defibrillators in patients with electrical heart disease and hypertrophic cardiomyopathy: data from the German device registry. Clin Res Cardiol 2019; 109:508-512. [DOI: 10.1007/s00392-019-01532-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Accepted: 07/18/2019] [Indexed: 11/29/2022]
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Kloosterman M, Maass AH. Sex differences in optimal atrioventricular delay in patients receiving cardiac resynchronization therapy. Clin Res Cardiol 2019; 109:124-127. [PMID: 31115644 DOI: 10.1007/s00392-019-01492-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 05/09/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Mariëlle Kloosterman
- Department of Cardiology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Alexander H Maass
- Department of Cardiology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
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