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The validity of the Patient Health Questionnaire for screening depression in chronic care patients in primary health care in South Africa

Overview of attention for article published in BMC Psychiatry, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters
facebook
1 Facebook page

Citations

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83 Dimensions

Readers on

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196 Mendeley
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Title
The validity of the Patient Health Questionnaire for screening depression in chronic care patients in primary health care in South Africa
Published in
BMC Psychiatry, May 2015
DOI 10.1186/s12888-015-0503-0
Pubmed ID
Authors

Arvin Bhana, Sujit D Rathod, One Selohilwe, Tasneem Kathree, Inge Petersen

Abstract

People with chronic health conditions are known to have a higher prevalence of depressive disorder. The Patient Health Questionnaire (PHQ-9) is a widely-used screening tool for depression which has not yet been validated for use on chronic care patients in South Africa. A sample of 676 chronic care patients attending two primary health facilities in North West Province, South Africa were administered the PHQ-9 by field workers and a diagnostic interview (the Structured Clinical Interview for DSM-IV) (SCID) by clinical psychologists. The PHQ-9 and the PHQ-2 were evaluated against the SCID, as well as for sub-samples of patients who were being treated for HIV infection and for hypertension. Using the SCID, 11.4 % of patients had major depressive disorder. The internal consistency estimate for the PHQ-9 was 0.76, with an area under the receiver operator curve (AUROC) of 0.85 (95 % CI 0.82-0.88), which was higher than the AURUC for the PHQ-2 (0.76, 95 % CI 0.73-0.79). Using a cut-point of 9, the PHQ-9 has sensitivity of 51 % and specificity of 94 %. The PHQ-9 AUROC for the sub-samples of patients with HIV and with hypertension were comparable (0.85 and 0.86, respectively). The PHQ-9 is useful as a screening tool for depression among patients receiving treatment for chronic care in a public health facility.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 2 1%
Unknown 194 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 19%
Researcher 35 18%
Student > Postgraduate 26 13%
Student > Ph. D. Student 21 11%
Other 13 7%
Other 31 16%
Unknown 32 16%
Readers by discipline Count As %
Medicine and Dentistry 66 34%
Psychology 24 12%
Nursing and Health Professions 21 11%
Social Sciences 17 9%
Computer Science 4 2%
Other 26 13%
Unknown 38 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 18 March 2016.
All research outputs
#1,274,235
of 14,535,828 outputs
Outputs from BMC Psychiatry
#500
of 3,293 outputs
Outputs of similar age
#25,581
of 235,159 outputs
Outputs of similar age from BMC Psychiatry
#1
of 1 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,293 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 84% of its peers.
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 235,159 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them