Cited by 499Telemedicine and Telehealth ImplementationMobile Health and mHealth ApplicationsDiabetes Management and Education

The DOI matches its Crossref record; 76 of the 78 references it cites were found in a registry or an index, and 2 are not checked yet; 5 of the 288 sources its claims cite were checked for support.

Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer

Open access

Abstract

BACKGROUND: Self-management support is one mechanism by which telehealth interventions have been proposed to facilitate management of long-term conditions. OBJECTIVE: The objectives of this metareview were to (1) assess the impact of telehealth interventions to support self-management on disease control and health care utilization, and (2) identify components of telehealth support and their impact on disease control and the process of self-management. Our goal was to synthesise evidence for telehealth-supported self-management of diabetes (types 1 and 2), heart failure, asthma, chronic obstructive pulmonary disease (COPD) and cancer to identify components of effective self-management support. METHODS: We performed a metareview (a systematic review of systematic reviews) of randomized controlled trials (RCTs) of telehealth interventions to support self-management in 6 exemplar long-term conditions. We searched 7 databases for reviews published from January 2000 to May 2016 and screened identified studies against eligibility criteria. We weighted reviews by quality (revised A Measurement Tool to Assess Systematic Reviews), size, and relevance. We then combined our results in a narrative synthesis and using harvest plots. RESULTS: We included 53 systematic reviews, comprising 232 unique RCTs. Reviews concerned diabetes (type 1: n=6; type 2, n=11; mixed, n=19), heart failure (n=9), asthma (n=8), COPD (n=8), and cancer (n=3). Findings varied between and within disease areas. The highest-weighted reviews showed that blood glucose telemonitoring with feedback and some educational and lifestyle interventions improved glycemic control in type 2, but not type 1, diabetes, and that telemonitoring and telephone interventions reduced mortality and hospital admissions in heart failure, but these findings were not consistent in all reviews. Results for the other conditions were mixed, although no reviews showed evidence of harm. Analysis of the mediating role of self-management, and of components of successful interventions, was limited and inconclusive. More intensive and multifaceted interventions were associated with greater improvements in diabetes, heart failure, and asthma. CONCLUSIONS: While telehealth-mediated self-management was not consistently superior to usual care, none of the reviews reported any negative effects, suggesting that telehealth is a safe option for delivery of self-management support, particularly in conditions such as heart failure and type 2 diabetes, where the evidence base is more developed. Larger-scale trials of telehealth-supported self-management, based on explicit self-management theory, are needed before the extent to which telehealth technologies may be harnessed to support self-management can be established.

Verified 2026-10-06 · 2 references not checked yet

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This metareview synthesized 53 systematic reviews (231 unique RCTs per Results; abstract says 232) of telehealth interventions to support self-management in diabetes, heart failure, asthma, COPD, and cancer. Evidence was inconsistent and no single self-management component was consistently effective, but no reviews reported harm, with the strongest support in type 2 diabetes and heart failure.

Key findings

  • Included 53 systematic reviews comprising 231 unique RCTs (119 diabetes, 58 heart failure, 28 asthma, 23 COPD, 3 cancer); the abstract reports 232 unique RCTs. Findings varied between and within disease areas.
  • Highest-weighted reviews showed blood glucose telemonitoring with feedback and some educational/lifestyle interventions improved glycemic control in type 2, but not type 1, diabetes; telemonitoring and telephone interventions reduced mortality and hospital admissions in heart failure, though findings were not consistent in all reviews.
  • No reviews showed evidence of harm; results for asthma, COPD, and cancer were mixed, and more intensive/multifaceted interventions were associated with greater improvements in diabetes, heart failure, and asthma.
  • Analysis of the mediating role of self-management and of components of successful interventions was limited and inconclusive; no single self-management component was consistently effective or ineffective.

Methods

  • Metareview (systematic review of systematic reviews) of RCTs of telehealth interventions to support self-management in 6 long-term conditions; searched 7 databases for reviews published January 2000 to May 2016.
  • Included 53 reviews; quality assessed with R-AMSTAR (scores 19–43 out of 44) and weighted by quality, size, and explicit self-management focus (8 reviews 3 stars, 23 reviews 2 stars, 21 reviews 1 star, 1 review no stars).
  • Because RCT overlap precluded meta-analysis, findings were combined in narrative synthesis and harvest plots; data were extracted from reviews, not individual RCTs, covering disease control, health care utilization, self-management process, and quality-of-life outcomes.

Limitations

  • Stated: metareview lag risks outdated results; reliance on review authors’ interpretation; inability to adjust for geography, age, or socioeconomic variables; RCT overlap risks overrepresenting some trials; only 6 conditions were considered; inclusion of reviews with implied self-management focus was potentially subjective; few reviews assessed publication bias.
  • Stated: most reviews did not analyze intervention intensity or specific components, limiting conclusions about which components or combinations are most beneficial.
  • Evident from the text: the abstract and Results report different unique RCT counts (232 vs 231); heterogeneity and poor intervention reporting limit component analysis; harvest plot rules may overlook individual RCTs.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.2196/jmir.6688

Cites

76 of 78 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) diagram of literature search. COPD: chronic obstructive pulmonary disease; RCT: randomized controlled trial.
Figure 1 Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) diagram of literature search. COPD: chronic obstructive pulmonary disease; RCT: randomized controlled trial.CC BY · PubMed Central
Figure 2 Harvest plot of overall findings of reviews. Number below bar: review reference number. Number above bar: star weighting of review (based on size, revised A Measurement Tool to Assess Systematic Reviews score, and explicit self-management focus). Height of bar: number of randomized controlled trials (RCTs) concerning that self-management component. Block color: consistent effect. Hatched: inconsistent effect (see Table 3). Outcomes assessed were diabetes (hemoglobin A1c), heart failure (mortality, hospital admission), asthma and chronic obstructive pulmonary disease (COPD) (validated symptom or quality of life, scores, physiological measurements), and cancer (validated symptom or quality of life).
Figure 2 Harvest plot of overall findings of reviews. Number below bar: review reference number. Number above bar: star weighting of review (based on size, revised A Measurement Tool to Assess Systematic Reviews score, and explicit self-management focus). Height of bar: number of randomized controlled trials (RCTs) concerning that self-management component. Block color: consistent effect. Hatched: inconsistent effect (see Table 3). Outcomes assessed were diabetes (hemoglobin A1c), heart failure (mortality, hospital admission), asthma and chronic obstructive pulmonary disease (COPD) (validated symptom or quality of life, scores, physiological measurements), and cancer (validated symptom or quality of life).CC BY · PubMed Central

Verification

Claims the paper makes

121 Not checked yet · 25 Own method · 25 Own result · 23 No basis given · 13 Own interpretation · 1 Supported so far · 1 Partly supported · 1 Mixed support · accuracy not yet measured

Verify all 283 references — free account

Show all 101 claims

  • It may state two separate claims as one. 78
  • Probably not a substantial claim. 50
109 of 109
  • The paper relies on this without support.

    The included systematic reviews adequately assessed and reported harms or negative effects, so the absence of reported harm indicates that telehealth is safe.

    “none of the reviews reported any negative effects”
    “no reviews showed evidence of harm”
  • The paper relies on this without support.

    The extent to which telehealth effectively promotes self-management, and the components of telehealth interventions that contribute to this goal, remain unclear.

    “The extent to which telehealth effectively promotes self-management, and the components of telehealth interventions that contribute to this goal, remain unclear.”
  • The paper relies on this without support.

    The included reviews' findings can be meaningfully combined in a narrative synthesis and harvest plots despite heterogeneity in outcomes and methods.

    “we therefore undertook a narrative synthesis”
    “We used harvest plots to illustrate the disease control outcomes related to telehealth-supported self-management components [17,18].”
  • The paper relies on this without support.

    The included systematic reviews collectively provide a sufficiently complete and unbiased evidence base for the metareview's conclusions about telehealth for self-management of the six conditions.

    “By relying on systematic review findings, the evidence is 1 step removed from the empirical evidence, and thus reliant on the interpretation of the review authors.”
  • The paper relies on this without support.

    The six selected long-term conditions are representative enough to generalize the metareview's conclusions about telehealth for self-management to long-term conditions more broadly.

    “This metareview considered only 6 long-term conditions and may have reached different conclusions had we selected a different set of conditions.”
5 of 5

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Each contradiction between two passages listed here was confirmed by an independent check.

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Citations

Cites

Show all 78 references

Research works printed but not linked: 5

  1. Taylor, S, 2014, Southampton (UK); NIHR Journals Library, 1
  2. 2009, Ont Health Technol Assess Ser, 9, 1
  3. Jaana, M, 2009, Am J Manag Care, 15, 313
  4. Franek, J, 2012, Ont Health Technol Assess Ser, 12, 1
  5. 10.1016/j.pop.2012.03.005 · DOI

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Metadata

Authors
Hanlon, P., Daines, L., Campbell, C., McKinstry, B., Weller, D., & Pinnock, H.
Affiliations
University of Edinburgh (GB)
Corresponding author
Pinnock, Hilary
Venue
Journal of Medical Internet Research
Published
2017-05-17
Volume
19
Issue
5
Pages
e172
ISSN
1438-8871 (ISSN-L)
OpenAlex
W2609520421
Cited by
499
References
78
Citations by year
2026: 22 · 2025: 47 · 2024: 64 · 2023: 67 · 2022: 79 · 2021: 75 · 2020: 55 · 2019: 55 · 2018: 30 · 2017: 5
FWCI
6.44
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Medical Internet Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
Funders
National Institute for Health and Care Research (RP-DG-1213-10008, 11/1014/04)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
self-management support, chronic disease, diabetes mellitus, type 1 diabetes, type 2 diabetes, heart failure, asthma, chronic obstructive pulmonary disease, cancer, glycemic control, hospitalization, mortality, health care utilization, intervention components, telephone-delivered intervention, educational intervention, lifestyle intervention, mediating role
MeSH terms
Self-Management, Asthma, Chronic Disease, Delivery of Health Care, Diabetes Mellitus, Type 2, Heart Failure, Humans, Neoplasms, Telemedicine, Pulmonary Disease, Chronic Obstructive

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