Evidence map›Paper›PMID 19203373›Full record

ArticleImplementation science : IS2009

Enhanced relapse prevention for bipolar disorder: a qualitative investigation of value perceived for service users and care coordinators.

Eleanor Pontin, Sarah Peters, Fiona Lobban, Anne Rogers, Richard K Morriss

Abstract read
In one paragraph

Article in Implementation science : IS, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

5 authors.

Eleanor PontinSchool of Population, Community and Behavioural Science, Faculty of Medicine, University of Liverpool, Liverpool, UK. e.pontin@liverpool.ac.uk
Sarah Peters
Fiona Lobban
Anne Rogers
Richard K Morriss

Funding

Department of Health PB-PG-0807-14075Medical Research Council G0301042
6 · The paper itself

Abstract

backgroundEnhanced relapse prevention (ERP) is a psychological intervention delivered by mental health professionals to help individuals with bipolar disorder (BD) recognise and manage early warning signs for mania and depression. ERP has an emerging evidence base and is recommended as good practice for mental health professionals. However, without highly perceived value to both those receiving (services users) or delivering it (health professionals), implementation will not occur. The aim of this study is to determine what values of ERP are perceived by service users (SUs) and mental health professionals (care coordinators, CCs) providing community case management.

methodsA nested qualitative study design was employed as part of a randomised controlled trial of ERP. Semi-structured interviews were conducted with a purposive sub-sample of 21 CCs and 21 SUs, and an iterative approach used to develop a framework of conceptual categories that was applied systematically to the data.

resultsThe process of implementing and receiving ERP was valued by both SUs and CCs for three similar sets of reasons: improved understanding of BD (where a knowledge deficit of BD was perceived), enhanced working relationships, and improved ways of managing the condition. There were some differences in the implications these had for both CCs and SUs who also held some reservations.

conclusionCCs and SUs perceive similar value in early warning signs interventions to prevent relapse, and these have particular benefits to them. If this perceived value is maintained, CCs and SUs in routine practice may use ERP long-term.

Identifiers

PMID19203373
PMCPMC2644665

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.