Evidence map›Paper›PMID 27612932›Full record

Trial reportJournal of medical Internet research2016

Program Use and Outcome Change in a Web-Based Trauma Intervention: Individual and Social Factors.

Zhiyun Wang, Jianping Wang, Andreas Maercker

Abstract readClinical Trial
In one paragraph

Trial report in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Review
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  10. Psychological Status of Volunteers in a Phase I Clinical Trial Assessed by Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ).Medical science monitor : international medical journal of experimental and clinical research · 2018
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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

3 authors.

Zhiyun WangSchool of Philosophy, Department of Psychology, Wuhan University, Wuhan, China.ORCID 0000-0003-0388-3200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsight into user adherence to Web-based intervention programs and into its relationship to intervention effect is needed.

objectiveThe objective of this study was to examine use of a Web-based self-help intervention program, the Chinese version of My Trauma Recovery (CMTR), among Chinese traumatized individuals, and to investigate the relationship between program use and user characteristics before the intervention and change in outcomes after the intervention and at 3-months' follow-up.

methodsThe sample consisted of 56 urban survivors of different trauma types and 90 rural survivors of the 2008 Sichuan earthquake, who used the CMTR in 1 month on their own or guided by volunteers in a counseling center. Predictors were demographics (sex, age, highest education, marital status, and annual family income), health problems (trauma duration, posttraumatic symptoms, and depression), psychological factors (coping self-efficacy), and social factors (social functioning impairment and social support). Program use was assessed by general program usage (eg, number of visiting days) and program adherence (eg, webpages completed in modules). Outcome measures were the Posttraumatic Diagnostic Scale (PDS), Symptom Checklist 90-Depression (SCL-D), Trauma Coping Self-Efficacy scale (CSE), Crisis Support Scale (CSS), and Social Functioning Impairment questionnaire (SFI) adopted from the CMTR.

results(1) Program use: rural participants had a larger total number of visiting days (F1,144=40.50, P<.001) and visited more program modules in 1 month (χ(2)3=73.67, P<.001) than urban participants. (2) Predictors and program use: total number of visiting days was correlated with CSS at pretest (r=.22, P=.009), and total number of completed webpages was associated with SFI at pretest (r=.19, P=.02). Number of webpages completed in modules was correlated with all demographic, disease severity, psychological, and social factors at pretest. (3) Program use and outcomes change: in general, use of the triggers and self-talk modules showed a consistent positive association with improvement in PDS, SCL-D, SFI, and CSE. The relaxation module was associated with positive change in PDS, but with negative change in CSS and SFI. The professional help module was associated with positive change in SCL-D, but its use on the first day was associated with negative change in CSS and CSE. The unhelpful coping module was associated with negative change in SFI. The mastery tools module showed a consistent association with negative change in PDS and SCL-D.

conclusionsThese findings suggest that both individual (eg, demographic, health problems, psychological) and social factors (eg, social functioning, social support) should be considered when delivering Web-based interventions, particularly in collectivist cultures. Specific program adherence indicators (eg, webpages completed in each module, activity types completed), rather than general program usage indicators (eg, total number or time of visiting), should be developed to examine the effectiveness of various program modules or elements. CLINICAL TRIAL: Australian New Zealand Clinical Trials Registry: ACTRN12611000951954; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=343399 (Archived by WebCite at http://www.webcitation.org/6G7WyNODk).

Indexed as

InternetOutcome Assessment, Health CareAdultFemaleHealth BehaviorHumansMaleMiddle AgedSelf CareSocial SupportSurveys and QuestionnairesWounds and Injuriesadherenceprogram usesocial supporttraumaWeb-based intervention

Identifiers

PMID27612932
PMCPMC5035382

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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.