Evidence map›Paper›PMID 35602925›Full record

ArticleJournal of family therapy2022

A systemic supervisory methodology and approach used during COVID times: Collective cut-outs - a gift from the left hand.

Joanne Adams, Melissa Baxter

Open access · greenAbstract read
In one paragraph

Article in Journal of family therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
10.1field-weighted citation impact, top 3% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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.

Joanne AdamsVisiting Lecturer Systemic Psychotherapy DET Tavistock and Portman Foundation Trust London United Kingdom.ORCID https://orcid.org/0000-0002-0295-2318
Melissa BaxterSenior Systemic Psychotherapist, City and Hackney CAMHS East London Foundation Trust London United Kingdom.
London Borough of Hackney · GBThe Tavistock and Portman NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper sets out to explore the use of a systemic reflexive exercise called "Collective Cut-Outs", detailing its methodology and usefulness with "frontline" mental health practitioners within supervision and teaching contexts. We draw on the use of storytelling, image, creativity and the usefulness of the left hand (right brain) in clinical mental health contexts and focus on its value in reflexive supervisory groups. We also aim to give voice to the experiences of "frontline" Black Asian Minority Ethnic (BAME) clinicians in an inner-city mental health team during the COVID-19 pandemic. The Collective Cut-Out exercise and its methodology provide a framework to help facilitate reflexive spaces that promote mindful group exercise and the subsequent expression of personal and professional resonance. The subjects of clinical challenge and collective resilience are also brought forth. We offer a case study in the second part of the paper, outlining the use of the exercise in a reflexive group supervisory context. The team in focus have kindly given us, the authors, permission to use their experiences and "cut-outs". We have either adapted or removed identifiable information from the writing to protect and respect the identity of the team and individuals involved.

Indexed as

Black Lives Mattercollective resonancecollective voicegenerative storytellingimage making in supervisionmindful practiceremote supervision during the COVID‐19 pandemicSystemic group supervision

Identifiers

PMID35602925
PMCPMC9111272
OpenAlexW4220823651

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.