Evidence map›Paper›PMID 32110399›Full record

ArticleBritish journal of pain2020

Brief cognitive analytic therapy for adults with chronic pain: a preliminary evaluation of treatment outcome.

Roupen Baronian, Sarah Je Leggett

Open access · bronzeAbstract read
In one paragraph

Article in British journal of pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Pain is complex.British journal of pain · 2020
    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

2 authors at 2 institutions in 1 country.

Roupen BaronianSchool of Health and Social Care, University of Essex, Essex, UK.ORCID https://orcid.org/0000-0002-0799-5915
Sarah Je LeggettWest Suffolk Community Pain Management Service, Suffolk GP Federation, Ipswich, UK.
University of Essex · GBUniversity of Suffolk · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive analytic therapy (CAT) has diversified in its application to a broad range of presenting difficulties and formats and there has been growing interest in its use in clinical health settings including Pain Management Services. Despite its growing popularity, to date, no studies have examined the application of CAT for chronic pain.

aimsThe purpose of this study was to examine the effectiveness of time-limited, individual CAT for adults with chronic pain as delivered in a publicly funded Community Pain Management Service.

methodsThis was an observational service evaluation of treatment practice within a routine clinical setting. Participants were 53 adults with chronic pain who completed eight sessions of individual therapy. Individual and group-level outcomes on self-reported distress, pain-related self-efficacy, as well as changes in healthcare utilisation pre- and post-intervention were examined.

resultsLarge pre-post effects on wellbeing (

conclusionThe results of this evaluation suggest that brief CAT is an encouraging intervention for adults with persistent pain. While preliminary, our findings provide support for a brief approach to persistent pain that focuses not on controlling or eliminating pain but on elucidating and revising unhelpful relational patterns that may impinge upon one's pain management. Directions for future research are suggested.

Indexed as

Chronic paincognitive analytic therapypain managementreliable and clinically significant changeservice evaluation

Identifiers

PMID32110399
PMCPMC7026827
OpenAlexW2951301869

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.