Evidence map›Paper›PMID 29458358›Full record

SynthesisBMC medical informatics and decision making2018

Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review.

Jung-Ah Lee, Mona Choi, Sang A Lee, Natalie Jiang

2 registry-linked trialsAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 143 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 13 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.

NCT05459896 narecruitingnot on this mapstarted 2024, after this paper: background citation

A Health Apps for Post-Pandemic Years (HAPPY) for People With Physiological and Psychosocial Distress During the Post-Pandemic Era

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2024 to 2026Enrolled814ConditionsPhysiological Stress, Psychological Distress, COVID-19 Stress SyndromeArmsPhysical Activity Training, Mindfulness-based Intervention, Energy Conservation Techniques
NCT07139561 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Oral Health in Hands: A Digital Intervention to Improve Oral Health Practices in Children

TypeinterventionalSponsorUniversiti Putra MalaysiaRan2025 to 2026Enrolled800ConditionsDigital Intervention, Oral Health Behavior ChangeArmsOral Health in Hands - Parent Digital Program
3 · Its place in the literature

Who cites it

143 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  6. The role of digital health technology in rural cancer care delivery: A systematic review.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
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83 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

4 authors.

Jung-Ah LeeSue and Bill Gross School of Nursing, University of California Irvine, Irvine, CA, USA.
Mona ChoiCollege of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea, 03722. monachoi@yuhs.ac.ORCID 0000-0003-4694-0359
Sang A LeeCollege of Nursing and Health Sciences, University of Massachusetts, Boston, MA, USA.
Natalie JiangProgram in Public Health, University of California Irvine, Irvine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health (mHealth) has continuously been used as a method in behavioral research to improve self-management in patients with chronic diseases. However, the evidence of its effectiveness in chronic disease management in the adult population is still lacking. We conducted a systematic review to examine the effectiveness of mHealth interventions on process measures as well as health outcomes in randomized controlled trials (RCTs) to improve chronic disease management.

methodsRelevant randomized controlled studies that were published between January 2005 and March 2016 were searched in six databases: PubMed, CINAHL, EMBASE, the Cochrane Library, PsycINFO, and Web of Science. The inclusion criteria were RCTs that conducted an intervention using mobile devices such as smartphones or tablets for adult patients with chronic diseases to examine disease management or health promotion.

resultsOf the 12 RCTs reviewed, 10 of the mHealth interventions demonstrated statistically significant improvement in some health outcomes. The most common features of mHealth systems used in the reviewed RCTs were real-time or regular basis symptom assessments, pre-programed reminders, or feedbacks tailored specifically to the data provided by participants via mHealth devices. Most studies developed their own mHealth systems including mobile apps. Training of mHealth systems was provided to participants in person or through paper-based instructions. None of the studies reported the relationship between health outcomes and patient engagement levels on the mHealth system.

conclusionsFindings from mHealth intervention studies for chronic disease management have shown promising aspects, particularly in improving self-management and some health outcomes.

Indexed as

Disease ManagementMobile ApplicationsOutcome Assessment, Health CareBehavior TherapyChronic DiseaseHealth PromotionHumansRandomized Controlled Trials as TopicTelemedicineChronic disease managementDisease managementMobile applicationsMobile healthSelf-management

Identifiers

PMID29458358
PMCPMC5819153

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.