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

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2018
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review
Published in
BMC Medical Informatics and Decision Making, February 2018
DOI 10.1186/s12911-018-0591-0
Pubmed ID
Authors

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

Abstract

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 405 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 405 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 12%
Student > Master 43 11%
Student > Bachelor 43 11%
Researcher 37 9%
Other 27 7%
Other 65 16%
Unknown 140 35%
Readers by discipline Count As %
Nursing and Health Professions 54 13%
Medicine and Dentistry 54 13%
Computer Science 29 7%
Social Sciences 20 5%
Psychology 16 4%
Other 75 19%
Unknown 157 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 November 2019.
All research outputs
#6,782,242
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#637
of 2,030 outputs
Outputs of similar age
#117,000
of 333,050 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 13 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,050 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.