Evidence map›Paper›PMID 39332937›Full record

SynthesisThe Lancet. Digital health2024

Mobile phone interventions to improve health outcomes among patients with chronic diseases: an umbrella review and evidence synthesis from 34 meta-analyses.

Shufang Sun, Otto Simonsson, Stephen McGarvey, John Torous, Simon B Goldberg

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in The Lancet. Digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Shufang SunDepartment of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI, USA; International Health Institute, School of Public Health, Brown University, Providence, RI, USA; Mindfulness Center, School of Public Health, Brown University, Providence, RI, USA. Electronic address: shufang_sun@brown.edu.
Otto SimonssonDepartment of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden.
Stephen McGarveyDepartment of Epidemiology, School of Public Health, Brown University, Providence, RI, USA; International Health Institute, School of Public Health, Brown University, Providence, RI, USA.
John TorousDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Simon B GoldbergDepartment of Counseling Psychology, School of Education, University of Wisconsin-Madison, Madison, WI, USA; Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA.

Funding

Advancing Resources for Systematic Reviews and Meta-Analyses of Complementary and Integrative Health InterventionsR24AT012845 · NCCIH · BROWN UNIVERSITY · PI Simon B Goldberg, Eric Loucks · 2024 to 2026
$1.8M
Developing Internet-Delivered, Mindfulness-based Intervention to Reduce HIV Risk and Promote Mental and Sexual Health among Young Adult MSMK23AT011173 · NCCIH · BROWN UNIVERSITY · PI SUN, SHUFANG · 2020 to 2024
$1.0M
Mindfulness training delivered via mobile health to reduce depression and anxietyK23AT010879 · NCCIH · UNIVERSITY OF WISCONSIN-MADISON · PI GOLDBERG, SIMON B · 2020 to 2024
$786k
NCCIH NIH HHS K23 AT010879NCCIH NIH HHS K23 AT011173NCCIH NIH HHS R24 AT012845
6 · The paper itself

Abstract

This umbrella review of 34 meta-analyses, representing 235 randomised controlled trials done across 52 countries and 48 957 participants and ten chronic conditions, aimed to evaluate evidence on the efficacy of mobile phone interventions for populations with chronic diseases. We evaluated the strengths of evidence via the Fusar-Poli and Radua methodology. Compared with usual care, mobile apps had convincing effects on glycated haemoglobin reduction among adults with type 2 diabetes (d=0·44). Highly suggestive effects were found for both text messages and apps on various outcomes, including medication adherence (among patients with HIV in sub-Saharan Africa and people with cardiovascular disease), glucose management in type 2 diabetes, and blood pressure reduction in hypertension. Many effects (42%) were non-significant. Various gaps were identified, such as a scarcity of reporting on moderators and publication bias by meta-analyses, little research in low-income and lower-middle-income countries, and little reporting on adverse events.

Indexed as

Cell PhoneChronic DiseaseMobile ApplicationsDiabetes Mellitus, Type 2Glycated HemoglobinHumansHypertensionMedication AdherenceMeta-Analysis as TopicRandomized Controlled Trials as TopicTelemedicineText MessagingGlycated Hemoglobin

Identifiers

PMID39332937
PMCPMC11534496

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.