Evidence map›Paper›PMID 19192364›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2009

Factors influencing variation in prescribing of antidepressants by general practices in Scotland.

Jill Morrison, Mary-Jane Anderson, Matt Sutton, Rosalia Munoz-Arroyo, Sara McDonald, Margaret Maxwell, Andrew Power, Michael Smith, Philip Wilson

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
9.3field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  9. The Person's Care Requires a Sex and Gender Approach.Journal of clinical medicine · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jill MorrisonSection of General Practice, University of Glasgow, Glasgow. jmm4y@clinmed.gla.ac.uk
Mary-Jane Anderson
Matt Sutton
Rosalia Munoz-Arroyo
Sara McDonald
Margaret Maxwell
Andrew Power
Michael Smith
Philip Wilson
University of Glasgow · GB

Funding

Chief Scientist Office CZH/4/198
6 · The paper itself

Abstract

backgroundThe prescribing of antidepressants has been rising dramatically in developed countries.

aimAs part of an investigation into the reasons for the rise and variation in the prescribing of antidepressants, this study aimed to describe, and account for, the variation in an age-sex standardised rate of antidepressant prescribing between general practices. DESIGN OF STUDY: Cross-sectional study involving analyses of routinely available data.

settingA total of 983 Scottish general practices.

methodAge-sex standardised prescribing rates were calculated for each practice. Univariate and multivariate regression analyses were undertaken to examine how the variation in prescribing was related to population, GP, and practice characteristics at individual practice level.

resultsThere was a 4.6-fold difference between the first and ninth deciles of antidepressant prescribing, standardised for registered patients' age and sex composition. The multivariate model explained 49.4% of the variation. Significantly higher prescribing than expected was associated with more limiting long-term illness (highly correlated with deprivation and the single most influential factor), urban location, and a greater proportion of female GPs in the practices. Significantly lower prescribing than expected was associated with single-handed practices, a higher than average list size, a greater proportion of GP partners born outside the UK, remote rural areas, a higher proportion of patients from minority ethnic groups, a higher mean GP age, and availability of psychology services. None of the quality-of-care indicators investigated was associated with prescribing levels.

conclusionAlmost half of the variation in the prescription of antidepressants can be explained using population, GP, and practice characteristics. Initiatives to reduce the prescribing of antidepressants should consider these factors to avoid denying appropriate treatment to patients in some practices.

Indexed as

Attitude of Health PersonnelAdultAge FactorsAntidepressive AgentsEpidemiologic MethodsFamily PracticeFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'ScotlandSex FactorsSocioeconomic FactorsAntidepressive Agents

Identifiers

PMID19192364
PMCPMC2629838
OpenAlexW2146242877

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.