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Utility of the PHQ-9 to identify major depressive disorder in adult patients in Spanish primary care centres

Overview of attention for article published in BMC Psychiatry, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
Utility of the PHQ-9 to identify major depressive disorder in adult patients in Spanish primary care centres
Published in
BMC Psychiatry, August 2017
DOI 10.1186/s12888-017-1450-8
Pubmed ID
Authors

Roger Muñoz-Navarro, Antonio Cano-Vindel, Leonardo Adrián Medrano, Florian Schmitz, Paloma Ruiz-Rodríguez, Carmen Abellán-Maeso, Maria Antonia Font-Payeras, Ana María Hermosilla-Pasamar

Abstract

The prevalence of major depressive disorder (MDD) in Spanish primary care (PC) centres is high. However, MDD is frequently underdiagnosed and consequently only some patients receive the appropriate treatment. The present study aims to determine the utility of the Patient Health Questionnaire-9 (PHQ-9) to identify MDD in a subset of PC patients participating in the large PsicAP study. A total of 178 patients completed the full PHQ test, including the depression module (PHQ-9). Also, a Spanish version of the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) was implemented by clinical psychologists that were blinded to the PHQ-9 results. We evaluated the psychometric properties of the PHQ-9 as a screening tool as compared to the SCID-I as a reference standard. The psychometric properties of the PHQ-9 for a cut-off value of 10 points were as follows: sensitivity, 0.95; specificity, 0.67. Using a cut-off of 12 points, the values were: sensitivity, 0.84; specificity, 0.78. Finally, using the diagnostic algorithm for depression (DSM-IV criteria), the sensitivity was 0.88 and the specificity 0.80. As a screening instrument, the PHQ-9 performed better with a cut-off value of 12 versus the standard cut-off of 10. However, the best psychometric properties were obtained with the DSM-IV diagnostic algorithm for depression. These findings indicate that the PHQ-9 is a highly satisfactory tool that can be used for screening MDD in the PC setting. Current Controlled Trials ISRCTN58437086 . Registered 20 May 2013.

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The data shown below were collected from the profiles of 11 X users 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 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 180 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 14%
Researcher 21 12%
Student > Master 19 11%
Student > Ph. D. Student 14 8%
Professor > Associate Professor 10 6%
Other 40 22%
Unknown 50 28%
Readers by discipline Count As %
Medicine and Dentistry 42 23%
Psychology 42 23%
Nursing and Health Professions 9 5%
Computer Science 7 4%
Neuroscience 5 3%
Other 16 9%
Unknown 59 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 March 2018.
All research outputs
#3,229,388
of 22,997,544 outputs
Outputs from BMC Psychiatry
#1,198
of 4,737 outputs
Outputs of similar age
#61,610
of 318,007 outputs
Outputs of similar age from BMC Psychiatry
#35
of 108 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,737 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 74% 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 318,007 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 80% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.