↓ Skip to main content

Detecting and staging podoconiosis cases in North West Cameroon: positive predictive value of clinical screening of patients by community health workers and researchers

Overview of attention for article published in BMC Public Health, September 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Detecting and staging podoconiosis cases in North West Cameroon: positive predictive value of clinical screening of patients by community health workers and researchers
Published in
BMC Public Health, September 2016
DOI 10.1186/s12889-016-3669-6
Pubmed ID
Authors

Samuel Wanji, Jonas A. Kengne-Ouafo, Fabrice R. Datchoua-Poutcheu, Abdel Jelil Njouendou, Dizzel Bita Tayong, David D. Sofeu-Feugaing, Nathalie Amvongo-Adjia, Bridget A. Fovennso, Yolande F. Longang-Tchounkeu, Fasil Tekola-Ayele, Peter A. Enyong, Melanie J. Newport, Gail Davey

Abstract

The suitability of using clinical assessment to identify patients with podoconiosis in endemic communities has previously been demonstrated. In this study, we explored the feasibility and accuracy of using Community Health Implementers (CHIs) for the large scale clinical screening of the population for podoconiosis in North-west Cameroon. Before a regional podoconiosis mapping, 193 CHIs and 50 health personnel selected from 6 health districts were trained in the clinical diagnosis of the disease. After training, CHIs undertook community screening for podoconiosis patients under health personnel supervision. Identified cases were later re-examined by a research team with experience in the clinical identification of podoconiosis. Cases were identified by CHIs with an overall positive predictive value (PPV) of 48.5% [34.1-70%]. They were more accurate in detecting advanced stages of the disease compared to early stages; OR 2.07, 95% CI = 1.15-3.73, p = 0.015 for all advanced stages). Accuracy of detecting cases showed statistically significant differences among health districts (χ2 = 25.30, p = 0.0001). Podoconiosis being a stigmatized disease, the use of CHIs who are familiar to the community appears appropriate for identifying cases through clinical diagnosis. However, to improve their effectiveness and accuracy, more training, supervision and support are required. More emphasis must be given in identifying early clinical stages and in health districts with relatively lower PPVs.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Student > Bachelor 5 11%
Researcher 4 9%
Professor > Associate Professor 3 7%
Student > Ph. D. Student 3 7%
Other 8 18%
Unknown 15 33%
Readers by discipline Count As %
Nursing and Health Professions 10 22%
Medicine and Dentistry 6 13%
Social Sciences 6 13%
Immunology and Microbiology 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 7%
Unknown 17 38%
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 01 September 2017.
All research outputs
#20,342,896
of 22,889,074 outputs
Outputs from BMC Public Health
#13,947
of 14,923 outputs
Outputs of similar age
#277,926
of 320,232 outputs
Outputs of similar age from BMC Public Health
#285
of 301 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 1st percentile – i.e., 1% 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 320,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 301 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.