Evidence map›Paper›PMID 32759842›Full record

ArticleInternational journal of environmental research and public health2020

Perspectives Emerged from Students and Supervisory Staff Interaction in Drug Use Prevention: A Q Methodology Investigation.

Chiu-Mieh Huang, Jung-Yu Liao, Hsiao-Pei Hsu, Cheng-Yu Lin, Jong-Long Guo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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.

Chiu-Mieh HuangInstitute of Clinical Nursing, School of Nursing, National Yang-Ming University, Taipei 112, Taiwan.
Jung-Yu LiaoInstitute of Population Health Sciences, National Health Research Institutes, Miaoli 350, Taiwan.ORCID 0000-0001-5083-9531
Hsiao-Pei HsuDepartment of Nursing, School of Nursing, National Yang-Ming University, Taipei 112, Taiwan.
Cheng-Yu LinDepartment of Radio, Television & Film, Shih Hsin University, Taipei 116, Taiwan.
Jong-Long GuoDepartment of Health Promotion and Health Education, College of Education, National Taiwan Normal University, Taipei 106, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to identify and describe the patterns of shared perspectives of students and supervisory staff associated with their interaction in drug use prevention. We applied the Q methodology to cluster participants into groups according to the similarities of their Q sorts. A total of 31 pairs of students and their supervisory staff participated in the study to rank the designed Q statements. The Q factor analysis for supervisory staff revealed a five-factor solution that accounted for 58% of the total variance. Another five-factor solution for the students explained 49% of the total variance. One similarity between the groups was the need to enhance the involvement of significant others to help the students quit drugs. A major identified difference between the groups was that whereas the students highlighted the importance of health consequences of drug use in helping them stop use, the supervisory staff did not. The elucidation of similarities and differences between supervisory staff and students could offer more insightful strategies of preventing the drug use.

Indexed as

StudentsSubstance-Related DisordersAdolescentFactor Analysis, StatisticalFemaleHumansMaledrug use preventionhigh school studentsQ methodologyschool-based program

Identifiers

PMID32759842
PMCPMC7432898

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Registered trials

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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.