Relapse Prevention Group Therapy in Indonesia Involving Peers via Videoconferencing for Substance Use Disorder: Development and Feasibility Study
Bibliographic record
Abstract
BACKGROUND: Substance use disorder (SUD) is a major health issue in Indonesia, where several barriers to treatment exist, including inaccessibility to treatment services, stigma, and criminalization of drug issues. Peer involvement and the use of telemedicine to deliver psychotherapy are promising approaches to overcome these barriers. OBJECTIVE: This study aims (1) to describe the development of a new group psychotherapy coprovided by a health care worker and a peer and (2) to evaluate the acceptability, practicality, and preliminary outcomes of the program delivered via videoconferencing in Indonesia. METHODS: Building upon an established relapse prevention therapy in Japan, we developed a 3-month weekly group therapy module in the Indonesian language. Adjustments were made via focus group discussions with local stakeholders in terms of substance types, understandability, inclusive language, and cultural relevance. A pilot study was conducted to test the new module provided by a peer and a psychiatrist via videoconferencing, termed tele-Indonesia Drug Addiction Relapse Prevention Program (tele-Indo-DARPP), with a pre- and postcontrolled design. We analyzed data from semistructured feedback interviews and outcome measurements, including the number of days using substances and quality of life, and compared the intervention (tele-Indo-DARPP added to treatment as usual [TAU]) and control (TAU only) arms. RESULTS: In total, 8 people diagnosed with SUD participated in the pilot study with a mean age of 37 (SD 12.8) years. All were men, and 7 (88%) used sedatives as the primary substance. Collectively, they attended 44 of the 48 tele-Indo-DARPP sessions. A total of 3 out of 4 (75%) preferred telemedicine rather than in-person therapy. Positive acceptability and practicality were shown from qualitative feedback, in which the participants who joined the tele-Indo-DARPP reported that they liked the convenience of joining from home and that they were able to open up about personal matters, received helpful advice from peers, and received support from other participants. Providers reported that they feel the module was provider-friendly, and the session was convenient to join without diminishing rapport-building. Meanwhile, troubles with the internet connection and difficulty in comprehending some terminology in the workbook were reported. The intervention arm showed better improvements in psychological health and anxiety symptoms. CONCLUSIONS: Group psychotherapy via videoconferencing coprovided by health care workers and peers was acceptable and practical for participants with SUD and service providers in this study. A large-scale study is warranted to examine the effectiveness of the newly developed module in Indonesia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".