Problem Management Plus (PM+) in the treatment of common mental disorders in women affected by gender-based violence and urban adversity in Kenya; study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Women affected by adversity, including gender-based violence, are at increased risk for developing common mental disorders such as depression, anxiety and posttraumatic stress disorder (PTSD). The World Health Organization (WHO) has developed Problem Management Plus (PM+), a 5-session, individual psychological intervention program, that can be delivered by non-specialist counsellors that addresses common mental disorders in people affected by adversity. The objectives of this study are to evaluate effectiveness of PM+ among women who have been affected by adversity, including gender-based violence, and to perform a process evaluation. METHODS: Informed by community consultations, the PM+ manual has been translated and adapted to the local context. A randomized controlled trial will be carried out in the catchment areas of three local health care facilities in Dagoretti Sub County, Nairobi. After informed consent, females with high psychological distress (General Health Questionnaire-12 (score >2) and functional impairment (WHO Disability Assessment Schedule 2.0 score >16) will be randomised to PM+ (n = 247) or enhanced treatment as usual (n = 247). Post-treatment and 3-months post-treatment follow-up assessments include psychological distress, functional disability, PTSD symptoms, perceived problems for which the person seeks help, health care use and health costs. For evaluating the process of implementing PM+ within local communities in Nairobi 20 key informant interviews will be carried out in participants, PM+ providers, decision makers, clinical staff. DISCUSSION: If PM+ is proven effective, it will be rolled out to other low and middle income areas and other populations for further adaptation and testing. Trial registration Australian New Zealand Clinical Trials Registry, ACTRN12616000032459. Registered prospectively on January 18, 2016.
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 0.004 |
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".