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Antenatal depression case finding by community health workers in South Africa: feasibility of a mobile phone application

Overview of attention for article published in Archives of Women's Mental Health, March 2014
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Title
Antenatal depression case finding by community health workers in South Africa: feasibility of a mobile phone application
Published in
Archives of Women's Mental Health, March 2014
DOI 10.1007/s00737-014-0426-7
Pubmed ID
Authors

Alexander C. Tsai, Mark Tomlinson, Sarah Dewing, Ingrid M. le Roux, Jessica M. Harwood, Mickey Chopra, Mary Jane Rotheram-Borus

Abstract

Randomized controlled trials conducted in resource-limited settings have shown that once women with depressed mood are evaluated by specialists and referred for treatment, lay health workers can be trained to effectively administer psychological treatments. We sought to determine the extent to which community health workers could also be trained to conduct case finding using short and ultrashort screening instruments programmed into mobile phones. Pregnant, Xhosa-speaking women were recruited independently in two cross-sectional studies (N = 1,144 and N = 361) conducted in Khayelitsha, South Africa and assessed for antenatal depression. In the smaller study, community health workers with no training in human subject research were trained to administer the Edinburgh Postnatal Depression Scale (EPDS) during the routine course of their community-based outreach. We compared the operating characteristics of four short and ultrashort versions of the EPDS with the criterion standard of probable depression, defined as an EPDS-10 ≥ 13. The prevalence of probable depression (475/1144 [42 %] and 165/361 [46 %]) was consistent across both samples. The 2-item subscale demonstrated poor internal consistency (Cronbach's α ranged from 0.55 to 0.58). All four subscales demonstrated excellent discrimination, with area under the receiver operating characteristic curve (AUC) values ranging from 0.91 to 0.99. Maximal discrimination was observed for the 7-item depressive symptoms subscale: at the conventional screening threshold of ≥10, it had 0.97 sensitivity and 0.76 specificity for detecting probable antenatal depression. The comparability of the findings across the two studies suggests that it is feasible to use community health workers to conduct case finding for antenatal depression.

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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 340 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
South Africa 2 <1%
Sierra Leone 1 <1%
Unknown 334 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 68 20%
Researcher 45 13%
Student > Ph. D. Student 44 13%
Student > Bachelor 26 8%
Student > Doctoral Student 20 6%
Other 66 19%
Unknown 71 21%
Readers by discipline Count As %
Medicine and Dentistry 67 20%
Psychology 56 16%
Social Sciences 40 12%
Nursing and Health Professions 37 11%
Agricultural and Biological Sciences 13 4%
Other 42 12%
Unknown 85 25%
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 04 April 2014.
All research outputs
#15,298,293
of 22,751,628 outputs
Outputs from Archives of Women's Mental Health
#698
of 920 outputs
Outputs of similar age
#132,674
of 225,332 outputs
Outputs of similar age from Archives of Women's Mental Health
#7
of 9 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 920 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 15th percentile – i.e., 15% 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 225,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.