Recommendation: Community-informed perspectives of implementing interpersonal psychotherapy for couples to reduce situational intimate partner violence and improve common mental disorders in Mozambique — R1/PR5
Bibliographic record
Abstract
BackgroundHigh rates of intimate partner violence (IPV) and mental disorders are present in Mozambique where there is a significant treatment gap. We aimed to report Mozambican community stakeholder perspectives of implementing couple-based interpersonal psychotherapy (IPT-C) in preparation for a pilot trial in Nampula City.MethodsWe conducted 11 focus group discussions (6–8 people per group) and seven in-depth interviews with key informants in mental health or gender-based violence (n = 85) using purposive sampling. We used grounded theory methods to conduct an inductive coding and then deductively applied the consolidated framework for implementation research (CFIR).ResultsFor the outer setting, local attitudes that stigmatize mental health conditions and norm IPV as well as an inefficient legal system were barriers. Stakeholders expressed high acceptability of IPT-C, although a lack of resources was a structural challenge for the inner setting. Adaptation of the approach to screen for and address potential mediators of IPV was important for adopting a multisectoral response to implementation and planning. Delivering IPT-C in the community and in collaboration with community stakeholders was preferable.ConclusionStakeholders recommended multilevel involvement and inclusion of community-based programming. Task shifting and use of technology can help address these resource demands.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".