The Effect of the Imacoco Care Psychoeducation Website on Improving Psychological Distress Among Workers During the COVID-19 Pandemic: Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: The prolonged COVID-19 pandemic has affected mental health among workers. Psychoeducational intervention via a website could be effective for primary prevention of mental illness among workers in the current COVID-19 pandemic. OBJECTIVE: The aim of this randomized controlled trial is to examine the effect of a newly developed online psychoeducational website named Imacoco Care on reducing psychological distress and fear about COVID-19 infection among workers. METHODS: Participants in the study were recruited from registered members of a web survey company in Japan. Participants who fulfilled the eligibility criteria were randomly allocated to the intervention or control group. Participants in the intervention group were invited to access the Imacoco Care program within a month after the baseline survey. The Kessler Psychological Distress Scale (K6) and the Fear of COVID-19 Scale (FCV-19S) scores were obtained at baseline and at 1- and 3-month follow-ups. RESULTS: A total of 1200 workers were randomly allocated to the intervention and control groups (n=600 [50%] per group). The Imacoco Care intervention group showed a significant favorable effect on K6 scores (P=.03) with a small effect size (ES; Cohen d=-0.14) and an adverse effect on FCV-19S scores (P=.01) with a small ES (Cohen d=0.16) at 3-month follow-up. In the per protocol analysis (including only participants who had read the Imacoco Care content at least 1 time), the Imacoco Care intervention group also showed a significant favorable effect on reducing K6 scores (P=.03), while an adverse effect on FCV-19S scores was not significant (P=.06) in the intervention group at 3-month follow-up. CONCLUSIONS: A web-based psychoeducation approach may be effective for improving psychological distress among workers; however, it may be important not only to distribute information but also to encourage active engagement with the content of the program to prevent adverse effects of psychoeducational intervention. TRIAL REGISTRATION: University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR) UMIN000042556; https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048548.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".