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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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  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

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6 tweeters

Citations

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18 Dimensions

Readers on

mendeley
133 Mendeley
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.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Brazil 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 24%
Researcher 16 12%
Student > Ph. D. Student 14 11%
Student > Doctoral Student 12 9%
Student > Bachelor 11 8%
Other 29 22%
Unknown 19 14%
Readers by discipline Count As %
Medicine and Dentistry 39 29%
Nursing and Health Professions 23 17%
Social Sciences 10 8%
Psychology 7 5%
Agricultural and Biological Sciences 6 5%
Other 22 17%
Unknown 26 20%

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 02 May 2016.
All research outputs
#3,311,353
of 12,426,906 outputs
Outputs from BMC Medical Informatics and Decision Making
#396
of 1,124 outputs
Outputs of similar age
#79,037
of 267,741 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 12,426,906 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,124 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 64% 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 267,741 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 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them