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Potential use of telephone surveys for non-communicable disease surveillance in developing countries: evidence from a national household survey in Lebanon

Overview of attention for article published in BMC Medical Research Methodology, May 2016
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2 tweeters

Citations

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9 Dimensions

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50 Mendeley
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Title
Potential use of telephone surveys for non-communicable disease surveillance in developing countries: evidence from a national household survey in Lebanon
Published in
BMC Medical Research Methodology, May 2016
DOI 10.1186/s12874-016-0160-0
Pubmed ID
Authors

Abla M. Sibai, Lilian A. Ghandour, Rawan Chaaban, Ali H. Mokdad

Abstract

Given the worldwide proliferation of cellphones, this paper examines their potential use for the surveillance of non-communicable disease (NCD) risk factors in a Middle Eastern country. Data were derived from a national household survey of 2,656 adults (aged 18 years or older) in Lebanon in 2009. Responses to questions on phone ownership yielded two subsamples, the 'cell phone sample' (n = 1,404) and the 'any phone sample' (n = 2,158). Prevalence estimates of various socio-demographics and 11 key NCD risk factors and comorbidities were compared between each subsample and the overall household sample. Adjusting for baseline age and sex distribution, no differences were observed for all NCD indicators when comparing either of subsamples to the overall household sample, except for binge drinking [(OR = 1.55, 95 % CI: 1.33-1.81) and (OR = 1.48, 95 % CI: 1.18-1.85) for 'cell phone subsample' and 'any phone subsample', respectively] and self-rated health (OR = 1.23, 95 % CI: 1.10-1.36) and (OR = 1.16, 95 % CI: 1.02-1.32), respectively). Differences in the odds of hyperlipidemia (OR = 1.27, 95 % CI: 1.06-1.51) was also found in the subsample of 'any phone' carriers. Multi-mode telephone surveillance techniques provide viable alternative to face-to-face surveys in developing countries. Cell phones may also be useful for personalized public health and medical care interventions in young populations.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 24%
Researcher 9 18%
Student > Ph. D. Student 6 12%
Other 4 8%
Student > Doctoral Student 4 8%
Other 10 20%
Unknown 5 10%
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Computer Science 7 14%
Nursing and Health Professions 7 14%
Psychology 6 12%
Social Sciences 5 10%
Other 3 6%
Unknown 11 22%

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 03 June 2016.
All research outputs
#5,674,721
of 7,849,747 outputs
Outputs from BMC Medical Research Methodology
#626
of 807 outputs
Outputs of similar age
#172,650
of 269,370 outputs
Outputs of similar age from BMC Medical Research Methodology
#21
of 31 outputs
Altmetric has tracked 7,849,747 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 807 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 18th percentile – i.e., 18% 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 269,370 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.