↓ Skip to main content

Factors associated with general practitioners’ awareness of depression in primary care patients with heart failure: baseline-results from the observational RECODE-HF study

Overview of attention for article published in BMC Primary Care, June 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
83 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Factors associated with general practitioners’ awareness of depression in primary care patients with heart failure: baseline-results from the observational RECODE-HF study
Published in
BMC Primary Care, June 2017
DOI 10.1186/s12875-017-0641-1
Pubmed ID
Authors

Marion Eisele, Anja Rakebrandt, Sigrid Boczor, Agata Kazek, Nadine Pohontsch, Magdalena Okolo-Kulak, Eva Blozik, Jens-Martin Träder, Stefan Störk, Christoph Herrmann-Lingen, Martin Scherer, for the RECODE Study Group

Abstract

Depression is more prevalent in patients with heart failure (HF) than in those without, but its detection is complicated by the symptom overlap between the two diseases. General practitioners (GPs) are the first point of contact for patients with HF. Therefore, this study aims to investigate GPs' awareness of depression in their HF patients and factors associated with this awareness. In this cross-sectional, observational study 3224 primary care patients with HF were screened for depressive symptomatology using an algorithm based on the Hospital Anxiety and Depression Scale, the 9-item subscale on Depression of the Patient Health Questionnaire, and selected items from the PROMIS Depression and Anxiety scales. The 272 GPs of all patients involved in the study were interviewed by telephone regarding their patients' somatic and psychological comorbidities. The awareness rates of depressive symptomatology by the patients' GPs are analyzed using descriptive statistics. Logistic regression analyses are applied to investigate the patient- and GP-based factors associated with the GPs' awareness of depressive symptomatology. GPs were aware of their patients' depressive symptomatology in 35% of all cases. Factors associated with the awareness of depressive symptomatology were: higher patient education levels, a history of depression known to the GP, GP-consultations due to emotional distress within the last 6 months, a higher frequency of GP-contacts within the last 6 months, a higher New York Heart Association (NYHA) classification and more severe depressive symptomatology. The GPs' characteristics, including further education in psychology/psychiatry, were not associated with GP awareness. Many aspects, including the definition of awareness and the practical issues in primary care, may contribute to the unexpectedly low awareness rates of depressive symptomatology in HF patients in primary care. Awareness rates might increase, if GPs encouraged their patients to talk about emotional distress, held detailed medical interviews including a patient's history of depression and payed special attention to HF patients with low education levels. However, it remains to be investigated whether GPs' judgement of depressive symptomatology is a better or worse indicator for the future prognosis and quality of life of HF patients than psychiatry based diagnostic criteria.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 16%
Student > Master 12 14%
Researcher 10 12%
Student > Doctoral Student 6 7%
Other 3 4%
Other 10 12%
Unknown 29 35%
Readers by discipline Count As %
Medicine and Dentistry 24 29%
Nursing and Health Professions 11 13%
Psychology 7 8%
Social Sciences 4 5%
Neuroscience 2 2%
Other 7 8%
Unknown 28 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 July 2017.
All research outputs
#17,242,285
of 25,382,440 outputs
Outputs from BMC Primary Care
#1,695
of 2,359 outputs
Outputs of similar age
#210,463
of 331,431 outputs
Outputs of similar age from BMC Primary Care
#13
of 14 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 27th percentile – i.e., 27% 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 331,431 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.