Evidence map›Paper›PMID 34266438›Full record

ArticleBMC health services research2021

Trends in treatment for patients with depression in general practice in Norway, 2009-2015: nationwide registry-based cohort study (The Norwegian GP-DEP Study).

Sabine Ruths, Inger Haukenes, Øystein Hetlevik, Tone Smith-Sivertsen, Stefan Hjørleifsson, Anneli B Hansen, Sharline Riiser, Heidi Marie Meling, Valborg Baste

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

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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 2 institutions in 1 country.

Sabine RuthsResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway. saru@norceresearch.no.
Inger HaukenesResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
Øystein HetlevikResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
Tone Smith-SivertsenResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
Stefan HjørleifssonResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
Anneli B HansenResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
Sharline RiiserResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
Heidi Marie MelingResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
Valborg BasteResearch Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
NORCE Norwegian Research Centre · NOUniversity of Bergen · NO

Funding

Research Council of Norway 287884
6 · The paper itself

Abstract

backgroundDepression is highly prevalent, but knowledge is scarce as to whether increased public awareness and strengthened government focus on mental health have changed how general practitioners (GPs) help their depressed patients. This study aimed to examine national time trends in GP depression care and whether trends varied regarding patient gender, age, and comorbidity.

methodsNationwide registry-based cohort study, Norway. The study population comprised all residents aged 20 years or older with new depression diagnoses recorded in general practice, 2009-2015. We linked reimbursement claims data from all consultations in general practice for depression with information on demographics and antidepressant medication. The outcome was type(s) of GP depression care during 12 months from the date of diagnosis: (long) consultation, talking therapy, antidepressant drug treatment, sickness absence certification, and referral to secondary mental health care. Covariates were patient gender, age, and comorbidity. The data are presented as frequencies and tested with generalized linear models.

resultsWe included 365,947 new depression diagnoses. Mean patient age was 44 years (SD = 16), 61.9 % were women, 41.2 % had comorbidity. From 2009 to 2015, proportions of patients receiving talking therapy (42.3-63.4 %), long consultations (56.4-71.8 %), and referral to secondary care (16.6-21.6 %) increased, while those receiving drug treatment (31.3-25.9 %) and sick-listing (58.1-50 %) decreased. The trends were different for gender (women had a greater increase in talking therapy and a smaller decrease in sick-listing, compared to men), age (working-aged patients had a smaller increase in talking therapy, a greater increase in long consultations, and a smaller decrease in antidepressant drug use, compared to older patients) and comorbidity (patients with mental comorbidity had a smaller increase in talking therapy and a greater increase in long consultations, compared to those with no comorbidity and somatic comorbidity).

conclusionsThe observed time trends in GP depression care towards increased provision of psychological treatment and less drug treatment and sick-listing were in the desired direction according to Norwegian health care policy. However, the large and persistent differences in treatment rates between working-aged and older patients needs further investigation.

Indexed as

General PracticeGeneral PractitionersAdultCohort StudiesDepressionFemaleHumansMaleNorwayReferral and ConsultationRegistriesDepressionDrug therapyGeneral practiceHealth services researchLarge database researchMental healthPsychotherapySecondary careSick leave

Identifiers

PMID34266438
PMCPMC8283991
OpenAlexW3177867148

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.