Evidence map›Paper›PMID 36057936›Full record

ArticleHealth & social care in the community2022

Use of unstructured intervention in a community-based mental health setting for the recovery of people with depression in Hong Kong: A qualitative assessment.

Daniel W L Lai, Vincent W P Lee, Yong-Xin Ruan

Open access · hybridAbstract read
In one paragraph

Article in Health & social care in the community, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 28% 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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

3 authors at 2 institutions in 2 countries.

Daniel W L LaiFaculty of Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
Vincent W P LeeFaculty of Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
Yong-Xin RuanDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong City, Hong Kong.
Hong Kong Baptist University · HKChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This qualitative evaluation study examined the impact of unstructured intervention on people with depression in a community mental health centre in Hong Kong. In the intervention, service users initiated groups and designed group activities by themselves, with social workers as facilitators. Semi-structured interviews were conducted with service users enrolled in unstructured intervention, their family members, and service providers in 2019. Overall, 32 participants were recruited through purposive sampling. The results revealed that peer interactions helped participants to feel accepted and understood. Participants also acquired experience with emotional coping strategies and practised their interpersonal skills, and by learning new skills from peers, they were able to rebuild their self-esteem and improve their relationships with friends and family. To cater to clients' different needs and concerns, unstructured activities should be diversified. Family and social functioning should also be emphasised in the development of unstructured intervention because the generic skills and knowledge acquired from unstructured activities with peers could help to enhance family relationships, self-confidence, and the ability to manage issues related to working and socialising.

Indexed as

DepressionMental HealthAdaptation, PsychologicalHong KongHumansPeer Groupdepressionpsychosocial interventiontreatment outcome

Identifiers

PMID36057936
PMCPMC10087962
OpenAlexW4295362464

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.