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Positive influence of short message service and voice call interventions on adherence and health outcomes in case of chronic disease care: a systematic review

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2016
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Citations

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Title
Positive influence of short message service and voice call interventions on adherence and health outcomes in case of chronic disease care: a systematic review
Published in
BMC Medical Informatics and Decision Making, April 2016
DOI 10.1186/s12911-016-0286-3
Pubmed ID
Authors

F. Yasmin, B. Banu, S. M. Zakir, R. Sauerborn, L. Ali, A. Souares

Abstract

Chronic diseases have emerged as a serious threat for health, as well as for global development. They endenger considerably increased health care costs and diminish the productivity of the adult population group and, therefore, create a burden on health, as well as on the global economy. As the management of chronic diseases involves long-term care, often lifelong patient adherence is the key for better health outcomes. We carried out a systematic literature review on the impact of mobile health interventions -mobile phone texts and/or voice messages- in high, middle and low income countries to ascertain the impact on patients' adherence to medical advice, as well as the impact on health outcomes in cases of chronic diseases. The review identified fourteen related studies following the defined inclusion and exclusion criteria, in PubMed, Cochrane Library, the Library of Congress, and Web Sciences. All the interventions were critically analysed according to the study design, sample size, duration, tools used, and the statistical methods used for analysing the primary data. Impacts of the different interventions on outcomes of interest were also analysed. The findings showed evidence of improved adherence, as well as health outcomes in disease management, using mobile Short Message Systems and/or Voice Calls. Significant improvement has been found on adherence with taking medicine, following diet and physical activity advice, as well as improvement in clinical parameters like HbA1c, blood glucose, blood cholesterol and control of blood pressure and asthma. Though studies showed positive impacts on adherence and health outcomes, three caveats should be considered, (i) there was no clear understanding of the processes through which interventions worked; (ii) none of the studies showed cost data for the m-health interventions and (iii) only short term impacts were captured, it remains unclear whether the effects are sustained. More research is needed in these three areas before drawing concrete conclusions and making suggestions to policy makers for further decision and implementation.

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The data shown below were collected from the profiles of 5 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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 278 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 16%
Researcher 30 11%
Student > Ph. D. Student 25 9%
Student > Bachelor 24 9%
Other 19 7%
Other 61 22%
Unknown 74 27%
Readers by discipline Count As %
Medicine and Dentistry 66 24%
Nursing and Health Professions 40 14%
Social Sciences 14 5%
Psychology 14 5%
Computer Science 9 3%
Other 49 18%
Unknown 87 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 May 2016.
All research outputs
#12,660,264
of 22,865,319 outputs
Outputs from BMC Medical Informatics and Decision Making
#832
of 1,992 outputs
Outputs of similar age
#132,912
of 298,997 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#14
of 22 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,992 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 57% 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 298,997 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 55% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.