Evidence map›Paper›PMID 25485260›Full record

ArticleCMAJ open2014

The diagnosis of depression and its treatment in Canadian primary care practices: an epidemiological study.

Sabrina T Wong, Donna Manca, David Barber, Rachael Morkem, Shahriar Khan, Jyoti Kotecha, Tyler Williamson, Richard Birtwhistle, Scott Patten

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Depression as a Risk Factor for Physical Illness and Multimorbidity in a Cohort with No Prior Comorbidity.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Integrated Care for Depression in Older Primary Care Patients.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2018
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Recognition, diagnosis, and treatment of cognitive and psychiatric disorders in patients with COPD.International journal of chronic obstructive pulmonary disease · 2017
    Review
  18. Update from CPCSSN.Canadian family physician Medecin de famille canadien · 2016
    Article
  19. Canadian family physician Medecin de famille canadien · 2016
    Article
  20. 'Big data' in mental health research: current status and emerging possibilities.Social psychiatry and psychiatric epidemiology · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Sabrina T WongCentre for Health Services and Policy Research, University of British Columbia, Vancouver, BC ; School of Nursing, University of British Columbia, Vancouver, BC.
Donna MancaDepartment of Family Medicine, University of Alberta, Edmonton, Alta.
David BarberDepartment of Family Medicine, Queen's University, Kingston, Ont.
Rachael MorkemDepartment of Family Medicine, Queen's University, Kingston, Ont.
Shahriar KhanDepartment of Family Medicine, Queen's University, Kingston, Ont.
Jyoti KotechaDepartment of Family Medicine, Queen's University, Kingston, Ont.
Tyler WilliamsonDepartment of Family Medicine, Queen's University, Kingston, Ont. ; Department of Public Health Sciences, Queen's University, Kingston, Ont.
Richard BirtwhistleDepartment of Family Medicine, Queen's University, Kingston, Ont. ; Department of Public Health Sciences, Queen's University, Kingston, Ont.
Scott PattenDepartment of Community Health Sciences, University of Calgary, Calgary, Alta. ; Department of Psychiatry, University of Calgary, Calgary, Alta.
Queen's University · CAUniversity of Alberta · CAUniversity of British Columbia · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA diagnosis of depression is common in primary care practices, but data are lacking on the prevalence in Canadian practices. We describe the prevalence of the diagnosis among men and women, patient characteristics and drug treatment in patients diagnosed with depression in the primary care setting in Canada.

methodsUsing electronic medical record data from the Canadian Primary Care Sentinel Surveillance Network, we examined whether the prevalence of a depression diagnosis varied by patient characteristics, the number of chronic conditions and the presence of the following chronic conditions: hypertension, diabetes, chronic obstructive pulmonary disease, osteoarthritis, dementia, epilepsy and parkinsonism. We used regression models to examine whether patient characteristics and type of comorbidity were associated with a depression diagnosis.

resultsOf the 304 412 patients who had at least 1 encounter with their primary care provider between Jan. 1, 2011, and Dec. 31, 2012, 14% had a diagnosis of depression. Current or past smokers and women with a high body mass index had higher rates of depression. One in 4 patients with a diagnosis of depression also had another chronic condition; those with depression had 1.5 times more primary care visits. About 85% of patients with depression were prescribed medication, most frequently selective serotonin reuptake inhibitors, followed by atypical antipsychotics.

interpretationOur data provide information on the prevalence of a depression diagnosis in primary care and associations with being female, having a chronic condition, smoking history and obesity in women. Our findings may inform research and assist primary care providers with early detection and interventions in at-risk patient populations.

Identifiers

PMID25485260
PMCPMC4251512
OpenAlexW2141928636

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.