Evidence map›Paper›PMID 34433611›Full record

SynthesisBMJ open2021

Factors influencing the effectiveness of remote patient monitoring interventions: a realist review.

Emma E Thomas, Monica L Taylor, Annie Banbury, Centaine L Snoswell, Helen M Haydon, Victor M Gallegos Rejas, Anthony C Smith, Liam J Caffery

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  10. Pragmatic randomized controlled trial comparing a complex telemedicine-based intervention with usual care in patients with chronic conditions.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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  13. Patients' and GPs' views and expectations of home monitoring with a pulse oximeter: a mixed-methods process evaluation of a pilot randomised controlled trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Emma E ThomasCentre for Online Health, The University of Queensland, Brisbane, Queensland, Australia e.thomas2@uq.edu.au.ORCID 0000-0001-8415-0521
Monica L TaylorCentre for Online Health, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0001-5333-2955
Annie BanburyCentre for Online Health, The University of Queensland, Brisbane, Queensland, Australia.
Centaine L SnoswellCentre for Online Health, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-4298-9369
Helen M HaydonCentre for Online Health, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0001-9880-9358
Victor M Gallegos RejasCentre for Online Health, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0001-9856-4848
Anthony C SmithCentre for Online Health, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-7756-5136
Liam J CafferyCentre for Online Health, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0003-1899-7534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur 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.

designRealist 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).

resultsAcross 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.

conclusionWhile 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.

Indexed as

HospitalizationSelf-ManagementHealth ServicesHealth Services Needs and DemandHumansMonitoring, Physiologicorganisation of health servicespublic healthtelemedicine

Identifiers

PMID34433611
PMCPMC8388293

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.