| Title |
Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis
|
|---|---|
| Published in |
Canadian Medical Association Journal, December 2011
|
| DOI | 10.1503/cmaj.110829 |
| Pubmed ID | |
| Authors |
Laura Manea, Simon Gilbody, Dean McMillan |
| Abstract |
The brief Patient Health Questionnaire (PHQ-9) is commonly used to screen for depression with 10 often recommended as the cut-off score. We summarized the psychometric properties of the PHQ-9 across a range of studies and cut-off scores to select the optimal cut-off for detecting depression. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Austria | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 807 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| South Africa | 1 | <1% |
| Mexico | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 801 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 115 | 14% |
| Student > Ph. D. Student | 108 | 13% |
| Researcher | 104 | 13% |
| Student > Bachelor | 82 | 10% |
| Student > Doctoral Student | 45 | 6% |
| Other | 167 | 21% |
| Unknown | 186 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 195 | 24% |
| Medicine and Dentistry | 175 | 22% |
| Nursing and Health Professions | 47 | 6% |
| Social Sciences | 38 | 5% |
| Neuroscience | 25 | 3% |
| Other | 84 | 10% |
| Unknown | 243 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 14 June 2022.
All research outputs
#836,063
of 25,292,378 outputs
Outputs from Canadian Medical Association Journal
#1,269
of 9,404 outputs
Outputs of similar age
#4,761
of 254,718 outputs
Outputs of similar age from Canadian Medical Association Journal
#17
of 121 outputs
Altmetric has tracked 25,292,378 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.0. This one has done well, scoring higher than 86% 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 254,718 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 121 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.