Evidence map›Paper›PMID 38178137›Full record

ArticleSubstance abuse treatment, prevention, and policy2024

Personal recovery for special populations: a qualitative study exploring the role of special interest meetings within 12-step fellowships.

Frankco Harris

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Frankco HarrisCentre for Criminology, The Faculty of Law, University of Oxford, St Cross Building, St Cross Road, Oxford, UK. frankcoharris@me.com.
University of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explores how Special Interest Meetings (SIMs), also called topic-specific meetings (e.g., meetings for young people), support recovery in 12-Step fellowships for Special Populations like young people, women and LGBTQIA+ members. Despite their emergence to address the needs of these groups, the specific ways Special Interest Meetings contribute to recovery experiences are understudied.

methodsIn-depth interviews were conducted with 12 participants who had attended Special Interest Meetings in 12-Step fellowships to explore the role of these meetings in recovery. The interviews were analysed using the CHIME-D personal recovery framework (Connectedness, Hope, Identity, Meaning in life, Empowerment, Difficulties).

resultsSpecial Interest Meetings serve as recovery pathways for Special Populations, incorporating CHIME-D elements to aid recovery and address challenges. This study found four "Special Population Pathways" for recovery: Traditional, Hybrid, SIM-Only, and Outside-Sim Hybrid Pathway.

conclusionsSpecial Interest Meetings address specific challenges like discrimination and exclusion faced by Special Populations in recovery. These meetings offer tailored support, deeper connections, improved recovery outcomes, and a sense of empowerment. The existence of "Special Population Pathways" emphasises the ongoing need to address diverse individuals' specific needs throughout the recovery process.

Indexed as

Fellowships and ScholarshipsPopulation GroupsAdolescentFemaleHumansQualitative Research12-Step fellowshipCHIME-DPersonal recoverySpecial Interest MeetingsSpecial Populations

Identifiers

PMID38178137
PMCPMC10768080
OpenAlexW4390589559

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.