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Application of short message service to control blood cholesterol: a field trial

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2017
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Title
Application of short message service to control blood cholesterol: a field trial
Published in
BMC Medical Informatics and Decision Making, March 2017
DOI 10.1186/s12911-017-0427-3
Pubmed ID
Authors

Saeed Sadeghian, Mohsen Shams, Zahra Alipour, Soheil Saadat, Reza Hamidian, Maryam Shahrzad

Abstract

Despite recommendations, many middle-age adults neglect to check their blood cholesterol levels. Short message service (SMS, also known as texting) has been seldom studied for preventive education. We estimated how SMS can be a cost-effective method in encouraging people to check their blood cholesterol levels. In a field trial, 3600 cell phone users (age > 30) were randomly assigned to the intervention (N: 1200) and the control groups (N: 2400). An SMS was sent to the intervention group for five rounds every two weeks, which targeted the cognitive and affective learning and finally advised the blood cholesterol level to be checked, if not checked during the past twelve months. Two weeks after the last round, both groups were asked for the time/level of their latest blood cholesterol, family history of early cardiac death and having a family member with coronary heart disease (CHD), and to report their attitude about whether annual blood sampling is worth the cost and time to prevent CHD. Moreover, the intervention group was asked if they remembered the SMS content. The cost-effectiveness was evaluated by estimating the "number needed to treat" (NNT) and calculating the cost of sending SMS to that number of people. In the intervention group, 629 individuals (72.0%) recalled the SMS content. The factors associated with cholesterol screening during the past two years were older age, diabetes, family history of coronary disease, higher education, female gender and being non-smoker. In both groups, women were significantly more aware of their blood cholesterol level (68.7% vs. 53.6%). The relative frequency of respondents who believed it was not worth checking their cholesterol annually was significantly lower in the intervention group (P < 0.001). The intervention group was significantly more likely to check its blood cholesterol levels (OR:1.22) after adjustment for age, diabetes, family history of CHD and smoking. The NNT was estimated ≈ 25 for the general population and ≈ 11 for those who received SMS and had a family member with CHD. We would postulate that SMS could affect people's adherence to preventive programs. Relatives of patients admitted with a diagnosis of CHD should be prioritized for superior cost-effectiveness and logistical feasibility.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 13%
Researcher 16 12%
Student > Ph. D. Student 15 11%
Student > Bachelor 14 10%
Student > Doctoral Student 13 9%
Other 15 11%
Unknown 47 34%
Readers by discipline Count As %
Medicine and Dentistry 29 21%
Nursing and Health Professions 18 13%
Psychology 15 11%
Sports and Recreations 5 4%
Social Sciences 3 2%
Other 14 10%
Unknown 54 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 October 2017.
All research outputs
#17,884,576
of 22,962,258 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,510
of 2,001 outputs
Outputs of similar age
#220,318
of 308,511 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#25
of 31 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,001 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 308,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.