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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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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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 21%
Researcher 9 16%
Student > Ph. D. Student 5 9%
Other 4 7%
Student > Doctoral Student 4 7%
Other 10 17%
Unknown 14 24%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Nursing and Health Professions 7 12%
Computer Science 7 12%
Psychology 6 10%
Social Sciences 4 7%
Other 3 5%
Unknown 20 34%
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 03 June 2016.
All research outputs
#17,806,995
of 22,875,477 outputs
Outputs from BMC Medical Research Methodology
#1,685
of 2,021 outputs
Outputs of similar age
#240,003
of 338,929 outputs
Outputs of similar age from BMC Medical Research Methodology
#27
of 31 outputs
Altmetric has tracked 22,875,477 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.
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