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Assessment of depression severity with the PHQ-9 in cancer patients and in the general population

Overview of attention for article published in BMC Psychiatry, February 2016
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Title
Assessment of depression severity with the PHQ-9 in cancer patients and in the general population
Published in
BMC Psychiatry, February 2016
DOI 10.1186/s12888-016-0728-6
Pubmed ID
Authors

Andreas Hinz, Anja Mehnert, Rüya-Daniela Kocalevent, Elmar Brähler, Thomas Forkmann, Susanne Singer, Thomas Schulte

Abstract

The Patient Health Questionnaire PHQ-9 is a widely used instrument to screen for depression in clinical research. The first aim of this study was to psychometrically test the PHQ-9 in a large sample of cancer patients. The second aim was to calculate unbiased estimates of the depression burden for several cancer groups taking into account age and gender distributions. A sample of 2,059 cancer patients with varying diagnoses were examined in this study six months after discharge from a rehabilitation clinic. A representative sample of 2,693 people from the general population served as controls. Expected PHQ-9 mean scores of the general population sample, regressed on age and gender, were calculated to enable a fair comparison of different groups of cancer patients. While the reliability (Cronbach's alpha) for the PHQ-9 scale was good (alpha ≥ 0.84), the CFA fit indices of the one-dimensional solution were unsatisfactory in the patients' sample. The factorial analysis confirmed two factors. PHQ-9 mean scores for 15 types of cancer are given, ranging from 4.0 (prostate) to 8.2 (thyroid gland). Differences between expected mean scores (derived from the general population) and raw mean scores of the cancer subsamples are reported that provide a better estimate of the depression burden. The results confirmed that the PHQ-9 performs well in testing depression in cancer patients. Regression coefficients can be used for performing unbiased comparisons among cancer groups, not only for this study. The burden of patients with testis cancer and Hodgkin lymphoma is underestimated when age and gender are not taken into account.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 186 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 18%
Student > Master 28 15%
Researcher 18 10%
Student > Ph. D. Student 18 10%
Student > Doctoral Student 13 7%
Other 30 16%
Unknown 46 25%
Readers by discipline Count As %
Psychology 48 26%
Medicine and Dentistry 36 19%
Nursing and Health Professions 16 9%
Agricultural and Biological Sciences 5 3%
Neuroscience 5 3%
Other 21 11%
Unknown 55 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 February 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from BMC Psychiatry
#4,217
of 4,694 outputs
Outputs of similar age
#333,940
of 397,125 outputs
Outputs of similar age from BMC Psychiatry
#64
of 68 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 397,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.