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An arabic translation, reliability, and validation of Patient Health Questionnaire in a Saudi sample

Overview of attention for article published in Annals of General Psychiatry, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 427)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

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224 tweeters

Readers on

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118 Mendeley
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Title
An arabic translation, reliability, and validation of Patient Health Questionnaire in a Saudi sample
Published in
Annals of General Psychiatry, September 2017
DOI 10.1186/s12991-017-0155-1
Pubmed ID
Authors

Ahmad N. AlHadi, Deemah A. AlAteeq, Eman Al-Sharif, Hamdah M. Bawazeer, Hasan Alanazi, Abdulaziz T. AlShomrani, Raafat M. Shuqdar, Reem AlOwaybil

Abstract

Psychological disorders including depression and anxiety are not rare in primary care clinics. The Patient Health Questionnaire (PHQ) is a clinical diagnostic tool that is widely utilized by primary health care physicians worldwide because it provides a practical in-clinic tool to screen for psychological disorders. This study evaluated the validity of the Arabic version of the PHQ in all six modules including depression, anxiety, somatic, panic, eating, and alcohol abuse disorders. This is a quantitative observational cross-sectional study that was conducted by administrating the translated Arabic version of PHQ to a sample of King Saud University students in Riyadh, Saudi Arabia. The sample was 731 university students who participated in this study including 376 (51.6%) females and 354 (48.4%) males with a mean age of 21.30 years. Eight mental health experts carried out the face validation process of the PHQ Arabic version. The internal consistency reliability was measured using Cronbach's alpha for the PHQ9, GAD7, PHQ15, and panic disorder modules. The results were 0.857, 0.763, 0.826, and 0.696, respectively. In comparison, the eating disorders and alcohol abuse modules demonstrated poor internal consistency due to small number of participants in these modules. This study demonstrates that the Arabic version of the PHQ is a valid and reliable tool to screen for depression, anxiety, somatic, and panic disorders in a Saudi sample.

Twitter Demographics

The data shown below were collected from the profiles of 224 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 14%
Student > Master 16 14%
Professor > Associate Professor 12 10%
Student > Ph. D. Student 12 10%
Researcher 8 7%
Other 21 18%
Unknown 33 28%
Readers by discipline Count As %
Medicine and Dentistry 37 31%
Psychology 15 13%
Nursing and Health Professions 7 6%
Neuroscience 5 4%
Social Sciences 5 4%
Other 11 9%
Unknown 38 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 185. 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 11 July 2018.
All research outputs
#112,483
of 17,096,050 outputs
Outputs from Annals of General Psychiatry
#2
of 427 outputs
Outputs of similar age
#3,736
of 279,165 outputs
Outputs of similar age from Annals of General Psychiatry
#1
of 1 outputs
Altmetric has tracked 17,096,050 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 99% 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 279,165 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% 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