Evidence map›Paper›PMID 29338751›Full record

Trial reportSubstance abuse treatment, prevention, and policy2018

Evaluation of the effects of a designated program on illegal drug cessation among adolescents who experiment with drugs.

Chiu-Ching Chang, Jung-Yu Liao, Chiu-Mieh Huang, Hsiao-Pei Hsu, Chih-Che Chen, Jong-Long Guo

Erratum issuedOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Substance abuse treatment, prevention, and policy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Chiu-Ching ChangDepartment of Health Promotion and Health Education, National Taiwan Normal University, No. 162, Section 1, Heping East Road, 10610, Taipei, Taiwan.
Jung-Yu LiaoDepartment of Health Promotion and Health Education, National Taiwan Normal University, No. 162, Section 1, Heping East Road, 10610, Taipei, Taiwan.
Chiu-Mieh HuangInstitute of Clinical Nursing, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Taipei, Taiwan, 11221.
Hsiao-Pei HsuInstitute of Clinical Nursing, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Taipei, Taiwan, 11221.
Chih-Che ChenDepartment of Health Promotion and Health Education, National Taiwan Normal University, No. 162, Section 1, Heping East Road, 10610, Taipei, Taiwan.
Jong-Long GuoDepartment of Health Promotion and Health Education, College of Education, National Taiwan Normal University, No. 162, Section 1, Heping East Road, 10610, Taipei, Taiwan. jonglong@ntnu.edu.tw.ORCID http://orcid.org/0000-0002-3120-014X
National Taiwan Normal University · TWNational Yang Ming Chiao Tung University · TW

Funding

National Taiwan Normal University (TW) T10307000148
6 · The paper itself

Abstract

backgroundStudies indicate that adolescent-onset drug users experience a greater likelihood of dependence that continues into adulthood. The importance of early intervention was evident in treating adolescents before their substance use progressed. We examined the effectiveness of an intervention program that prevents students who experiment with drugs from reusing them.

methodsThe study was based on 10 out of 18 invited schools that were randomly assigned to either the intervention group (5 schools, n = 43) or the comparison group (5 schools, n = 41). The intervention group received an E-course program that comprised a main intervention course (12 sessions) and a booster course (2 sessions). By reducing the burden of teaching content during the 14 sessions, the in-class counselor had opportunities for face-to-face discussions with students on their ambivalence toward quitting illegal drugs. The comparison group received the conventional didactic drug prevention course (2 sessions). Outcomes in terms of stress management, refusal skills, pros of drug use, cons of drug use, and drug use resistance self-efficacy were measured via structured questionnaires conducted thrice: at baseline, after the main intervention sessions, and after the booster sessions. A linear mixed model (LMM) was employed to investigate the effects of time and groups on the outcome variables with group, time, and group × time as fixed effects. Subjects and schools were selected as random effects in order to consider both within-subject and within-school correlations.

resultsThere was a significant group × time interaction with regard to stress management, refusal skills, pros of drug use, and drug use resistance self-efficacy, excluding cons of drug use. The intervention group displayed better stress management compared to the comparison group after the booster intervention. Similar between-group differences were identified in that the intervention group displayed better refusal skills and drug use resistance self-efficacy compared to that of the comparison group. The intervention group favored using drugs less (a decrease in the pros of drug use score) compared to the comparison group after the booster intervention.

conclusionsOur program provided an example of the results of early intervention among students who experiment with illegal drugs.

Indexed as

Adolescent BehaviorHealth Knowledge, Attitudes, PracticeSchool Health ServicesAdolescentCase-Control StudiesCounselingFemaleHealth EducationHumansIllicit DrugsLinear ModelsMaleProgram EvaluationSelf EfficacyStudentsSubstance-Related DisordersIllicit DrugsAdolescentIllegal drug useIntervention studyLearning climateVocational high school

Identifiers

PMID29338751
PMCPMC5771158
OpenAlexW2783834607

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.