Evidence map›Paper›PMID 39055610›Full record

ArticleComputers in human behavior reports2022

Self-guided online therapeutic assessment in substance abuse care: A Conflict Analysis implementation and feasibility case study.

Maxwell Levis, Dana J Ludmer, Brian Shiner

Abstract read
In one paragraph

Article in Computers in human behavior reports, 2022. 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
–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

0 citing papers in PubMed.

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

3 authors.

Maxwell LevisVeterans Affairs Medical Center, White River Junction, VT, USA.
Dana J LudmerClinical Psychology, Antioch University of New England, Keene, NH, USA.
Brian ShinerVeterans Affairs Medical Center, White River Junction, VT, USA.

Funding

Intramural VA VA999999
6 · The paper itself

Abstract

"Michael" is a 60-year-old Black male receiving substance abuse treatment at a Veterans Affairs hospital. As part of Michael's care, he participated in an implementation and feasibility trial evaluating Conflict Analysis (CA), a self-guided online therapeutic assessment. CA leverages innovative diagnostic and therapeutic resources to improve client engagement and therapeutic achievement. CA employs narrative formats, encouraging patients to frame experiences within personal vocabulary, and provides personalized feedback automatically extracted from patient responses. CA is self-guided, widely accessible, and has few costs. Paper presents Michael's protocol, associated therapeutic outcome measures, and psychologist's evaluation of CA benefits. Michael completed brief online CA deployment containing a wellness-based personality inventory, four narrative tasks, and an interactive feedback template. Michael completed insight, stress, depression, wellbeing, and perceived diagnostic and therapeutic benefit measures at baseline, post, and three-week follow-up. Interventions took 2.5 h. Attending psychologist reviewed CA protocols and completed diagnostic and therapeutic questionnaires. Michael's record identifies elevated dominance. Protocol highlights Michael's drinking as mechanism to lessen social anxieties, anger, and competitiveness. Results suggest CA encouraged increased motivation to change, treatment engagement, and reduced depression. Psychologist rated benefit at maximum threshold. Implications include improving assessment efficacy, increasing online care opportunities, and expanding CA research.

Indexed as

Brief psychotherapyIntegrative treatment modelsMental health services researchSubstance abuseTechnology in psychotherapy research & trainingTherapeutic assessment

Identifiers

PMID39055610
PMCPMC11271748

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.