Evidence map›Paper›PMID 33154096›Full record

ArticleBMJ open quality2020

To improve the communication between a community mental health team and its service users, their families and carers.

Priyalakshmi Chowdhury, Amir Tari, Ola Hill, Amar Shah

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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

4 authors at 1 institution in 1 country.

Priyalakshmi ChowdhuryPsychiatry, East London NHS Foundation Trust, Luton, UK priyalakshmi.chowdhury@nhs.net.
Amir TariPsychiatry, East London NHS Foundation Trust, Luton, UK.
Ola HillEast London NHS Foundation Trust, London, UK.
Amar ShahPsychiatry, East London NHS Foundation Trust, Luton, UK.
East London NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes the application of quality improvement (QI) to solve a long-standing, ongoing problem where service users or their carers felt they were not given enough information regarding diagnosis and medication during clinic assessments in a community mental health setting. Service users and carers had shared feedback that some of the information documented on clinic letters was not accurate and the service users were not given the opportunity to discuss these letters with the clinician. The aim of this QI project was to improve the communication between the community mental health team (CMHT) and service users and their carers. Wardown CMHT volunteered to take on this project. The stakeholders involved were the team manager and deputy manager, the team consultant, the team specialist registrar, team administrative manager, two carers and one service user. The project had access to QI learning and support through East London NHS Foundation Trust's QI programme. The team organised weekly meetings to brainstorm ideas, plan tests of change to review progress and to agree on the next course of action. The outcome was an increase in service user satisfaction from 59.9% to 78% over a period of 6 months, and a reduction in complaints to zero.

Indexed as

CommunicationCommunity Mental Health ServicesFamilyHealth PersonnelHumansLondonPatientsProfessional-Patient Relationscommunity mental health servicesmental healthpatient-centred carequality improvement

Identifiers

PMID33154096
PMCPMC7646348
OpenAlexW3097014834

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.