Evidence map›Paper›PMID 33185554›Full record

SynthesisJournal of medical Internet research2020

Effects of Different Telemonitoring Strategies on Chronic Heart Failure Care: Systematic Review and Subgroup Meta-Analysis.

Hang Ding, Sheau Huey Chen, Iain Edwards, Rajiv Jayasena, James Doecke, Jamie Layland, Ian A Yang, Andrew Maiorana

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  16. Remote Patient Monitoring for COVID-19: A Retrospective Study on Health Care Utilization.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023
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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.

Hang Ding *RECOVER Injury Research Centre, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-0513-2876
Sheau Huey Chen *School of Physiotherapy and Exercise Science, Curtin University, Perth, Australia.ORCID 0000-0003-2911-9550
Iain EdwardsDepartment of Community Health, Peninsula Health, Melbourne, Australia.ORCID 0000-0002-4157-2086
Rajiv JayasenaThe Australian e-Health Research Centre, Commonwealth Scientific & Industrial Research Organisation, Melbourne, Australia.ORCID 0000-0003-4943-8524
James DoeckeThe Australian e-Health Research Centre, Commonwealth Scientific & Industrial Research Organisation, Melbourne, Australia.ORCID 0000-0003-2863-0293
Jamie LaylandDepartment of Cardiology, Peninsula Health, Melbourne, Australia.ORCID 0000-0003-2002-5785
Ian A YangDepartment of Thoracic Medicine, The Prince Charles Hospital, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-8338-1993
Andrew MaioranaSchool of Physiotherapy and Exercise Science, Curtin University, Perth, Australia.ORCID 0000-0002-0681-1707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemonitoring studies in chronic heart failure are characterized by mixed mortality and hospitalization outcomes, which have deterred the uptake of telemonitoring in clinical practice. These mixed outcomes may reflect the diverse range of patient management strategies incorporated in telemonitoring. To address this, we compared the effects of different telemonitoring strategies on clinical outcomes.

objectiveThe aim of this systematic review and subgroup meta-analysis was to identify noninvasive telemonitoring strategies attributing to improvements in all-cause mortality or hospitalization outcomes for patients with chronic heart failure.

methodsWe reviewed and analyzed telemonitoring strategies from randomized controlled trials (RCTs) comparing telemonitoring intervention with usual care. For each strategy, we examined whether RCTs that applied the strategy in the telemonitoring intervention (subgroup 1) resulted in a significantly lower risk ratio (RR) of all-cause mortality or incidence rate ratio (IRR) of all-cause hospitalization compared with RCTs that did not apply this strategy (subgroup 2).

resultsWe included 26 RCTs (N=11,450) incorporating 18 different telemonitoring strategies. RCTs that provided medication support were found to be associated with a significantly lower IRR value than RCTs that did not provide this type of support (P=.01; subgroup 1 IRR=0.83, 95% CI 0.72-0.95 vs subgroup 2 IRR=1.02, 95% CI 0.93-1.12). RCTs that applied mobile health were associated with a significantly lower IRR (P=.03; IRR=0.79, 95% CI 0.64-0.96 vs IRR=1.00, 95% CI 0.94-1.06) and RR (P=.01; RR=0.67, 95% CI 0.53-0.85 vs RR=0.95, 95% CI 0.84-1.07).

conclusionsTelemonitoring strategies involving medication support and mobile health were associated with improvements in all-cause mortality or hospitalization outcomes. These strategies should be prioritized in telemonitoring interventions for the management of patients with chronic heart failure.

Indexed as

Chronic DiseaseHeart FailureHumansTelemedicinechronic heart failuremeta-analysismobile healthsystematic reviewtelehealthtelemonitoring

Identifiers

PMID33185554
PMCPMC7695537

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Registered trials

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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 OpenQuestion graph.