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Usefulness of PHQ-9 in primary care to determine meaningful symptoms of low mood: a qualitative study

Overview of attention for article published in British Journal of General Practice, January 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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2 news outlets
blogs
1 blog
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22 X users

Citations

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32 Dimensions

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103 Mendeley
Title
Usefulness of PHQ-9 in primary care to determine meaningful symptoms of low mood: a qualitative study
Published in
British Journal of General Practice, January 2016
DOI 10.3399/bjgp16x683473
Pubmed ID
Authors

Alice Malpass, Chris Dowrick, Simon Gilbody, Jude Robinson, Nicola Wiles, Larisa Duffy, Glyn Lewis

Abstract

Self-administered questionnaires, such as the Patient Health Questionnaire (PHQ-9), are regularly used in clinical practice to guide prescribing or to measure recovery and response to treatment. There are concerns that patients are not all interpreting the questionnaire items in the same way. Cognitive interviewing is a research technique that identifies 'interpretative measurement error' (IME). IME is distinct from traditional components of measurement error, such as not reading the question as worded, or recording answers inaccurately. To use cognitive interviewing techniques to explore patterns in answer mapping and comprehension of the PHQ-9 questionnaire to ascertain whether the measure captures meaningful symptoms of low mood. Qualitative study using cognitive interviewing techniques and card sorting in six GP practices in Bristol. The study recruited 18 participants at the point of entry to a longitudinal primary care depression cohort study, PANDA (the indications for Prescribing ANtiDepressants that will leAd to a clinical benefit). Participants were interviewed 2, 4, and 6 weeks after their baseline visit. Cognitive interviews were digitally recorded. Analysis used the digital audio file, rather than verbatim transcripts, as it retained important features needed for analyses. Cognitive interviewing revealed that items on the PHQ-9 are interpreted in a range of ways, that patients often cannot 'fit' their experience into the response options, and therefore often feel the questionnaire is misrepresenting their experience of meaningful symptoms of low mood. The PHQ-9 may be missing the presence and/or intensity of certain symptoms that are meaningful to patients. Clinicians should adopt caution when using it.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 20%
Student > Bachelor 11 11%
Researcher 9 9%
Student > Ph. D. Student 9 9%
Other 8 8%
Other 20 19%
Unknown 25 24%
Readers by discipline Count As %
Psychology 24 23%
Medicine and Dentistry 23 22%
Nursing and Health Professions 10 10%
Social Sciences 5 5%
Engineering 3 3%
Other 10 10%
Unknown 28 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 28 February 2023.
All research outputs
#1,123,035
of 25,387,668 outputs
Outputs from British Journal of General Practice
#507
of 4,878 outputs
Outputs of similar age
#20,027
of 405,568 outputs
Outputs of similar age from British Journal of General Practice
#15
of 90 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.7. This one has done well, scoring higher than 89% 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 405,568 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 95% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.