Evidence map›Paper›PMID 33257466›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2021

Identifying patients at risk of psychosis: a qualitative study of GP views in South West England.

Daniela Strelchuk, Nicola Wiles, Catherine Derrick, Stanley Zammit, Katrina Turner

Open access · hybridAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Predicting risk of psychosis in primary care: a qualitative study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Predictors of Length of Hospitalization and Impact on Early Readmission for Mental Disorders.International journal of environmental research and public health · 2022
    Article
  12. Identifying patients at risk of psychosis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Daniela StrelchukCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol; National Institute for Health Research Biomedical Research Centre, University Hospitals Bristol, Weston NHS Foundation Trust, and University of Bristol.
Nicola WilesCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol; National Institute for Health Research Biomedical Research Centre, University Hospitals Bristol, Weston NHS Foundation Trust, and University of Bristol.
Catherine DerrickCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol.
Stanley ZammitCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Cardiff.
Katrina TurnerCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol; National Institute for Health Research Biomedical Research Centre, University Hospitals Bristol, Weston NHS Foundation Trust, and University of Bristol.
University of Bristol · GB

Funding

Medical Research Council MR/K025643/1
6 · The paper itself

Abstract

backgroundEarly intervention in people with an at-risk mental state for psychosis can decrease the rates of transition to psychosis. GPs play a key role in the identification of this patient group but very few studies have explored GPs' awareness of patients who are at risk of psychosis.

aimTo explore GPs' views and experiences of identifying patients with an at-risk mental state for psychosis, and the barriers and facilitators to identification. DESIGN AND

settingIn-depth semi-structured interviews were held with GPs working in South West England primary care. The interviews were conducted between March and July 2019.

methodA topic guide was used to ensure consistency across interviews. This guide was revised to incorporate a definition of the at-risk mental state for psychosis, as after conducting a few interviews it became clear that some GPs were not familiar with this construct. Interviews were audiorecorded and analysed thematically.

resultsA total of 20 GPs were interviewed. Some GPs were not familiar with the concept of being at risk of developing psychosis, and perceived that they may not have the right skills to identify this patient group. Other barriers related to patients not presenting or disclosing psychotic symptoms, and limitations imposed by scarce resources on the structure and provision of NHS services, such as lack of continuity of care and high thresholds for accessing specialised services.

conclusionIdentifying people at risk of psychosis in primary care is difficult. Provision of GP training, development of policies that support continuity of care, and improved access to specialised services could help improve the identification of this patient group.

Indexed as

General PractitionersPsychotic DisordersAttitude of Health PersonnelEnglandHumansQualitative Researchat-risk mental stategeneral practiceidentification, barrierspsychosissemi-structured interviews

Identifiers

PMID33257466
PMCPMC7716867
OpenAlexW3107428759

What OpenQuestion holds

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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.