Evidence map›Paper›PMID 22720155›Full record

ArticleInternational journal of family medicine2012

Chronic and recurrent depression in primary care: socio-demographic features, morbidity, and costs.

Elaine M McMahon, Marta Buszewicz, Mark Griffin, Jennifer Beecham, Eva-Maria Bonin, Felicitas Rost, Kate Walters, Michael King

Open access · hybridAbstract read
In one paragraph

Article in International journal of family medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
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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

8 authors at 3 institutions in 1 country.

Elaine M McMahonResearch Department of Primary Care and Population Health, University College London, Upper Third Floor, Royal Free Hospital, Rowland Hill Street, London NW3 2PF, UK.
Marta Buszewicz
Mark Griffin
Jennifer Beecham
Eva-Maria Bonin
Felicitas Rost
Kate Walters
Michael King
The Royal Free Hospital · GBLondon School of Economics and Political Science · GBUniversity of Kent · GB

Funding

Medical Research Council G106/1053Medical Research Council MC_U122788474
6 · The paper itself

Abstract

Background. Major depression is often chronic or recurrent and is usually treated within primary care. Little is known about the associated morbidity and costs. Objectives. To determine socio-demographic characteristics of people with chronic or recurrent depression in primary care and associated morbidity, service use, and costs. Method. 558 participants were recruited from 42 GP practices in the UK. All participants had a history of chronic major depression, recurrent major depression, or dysthymia. Participants completed questionnaires including the BDI-II, Work and Social Adjustment Scale, Euroquol, and Client Service Receipt Inventory documenting use of primary care, mental health, and other services. Results. The sample was characterised by high levels of depression, functional impairment, and high service use and costs. The majority (74%) had been treated with an anti-depressant, while few had seen a counsellor (15%) or a psychologist (3%) in the preceding three months. The group with chronic major depression was most depressed and impaired with highest service use, whilst those with dysthymia were least depressed, impaired, and costly to support but still had high morbidity and associated costs. Conclusion. This is a patient group with very significant morbidity and high costs. Effective interventions to reduce both are required.

Identifiers

PMID22720155
PMCPMC3375145
OpenAlexW2098104603

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.