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Record W2810022433 · doi:10.1186/s13012-018-0785-y

Contextualization of psychological treatments for government health systems in low-resource settings: group interpersonal psychotherapy for caregivers of children with nodding syndrome in Uganda

2018· article· en· W2810022433 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueImplementation Science · 2018
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
FundersNational Institute of Mental HealthMinistry of Health, UgandaGrand Challenges Canada
KeywordsGovernment (linguistics)Public healthMedicineNursingDocumentationMedical educationContextualizationHealth administrationHealth services researchInterpersonal communicationFormative assessmentPsychologySocial psychologyPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Evidence for the effectiveness of psychological treatments in low- and middle-income countries is increasing. However, there is a lack of systematic approaches to guide implementation in government health systems. The objective of this study was to address this gap by employing the Replicating Effective Programs (REP) framework to guide contextualization of a psychological treatment in the Uganda public health system for caregivers of children affected by nodding syndrome, a neuropsychiatric disorder endemic to Sub-Saharan Africa associated with high morbidity and disability. METHODS: To contextualize a psychological treatment, we followed the four components of the REP framework: pre-conditions, pre-implementation, implementation, and maintenance and evolution. A three-step process involved reviewing health services available for nodding syndrome-affected families and current evidence for psychological treatments, qualitative formative research, and analysis and documentation of implementation activities. Stakeholders included members of affected communities, health care workers, therapists, local government leaders, and Ministry of Health officials. Detailed written, audio, and video documentation of the implementation activities was used for content analysis. RESULTS: During the pre-condition component of REP, we selected group interpersonal therapy (IPT-G) because of its feasibility, acceptability, effectiveness in the local setting, and availability of locally developed training materials. During the pre-implementation component, we adapted the training, logistics, and technical assistance strategies in conjunction with government and stakeholder working groups. Adaptations included content modification based on qualitative research with caregivers of children with nodding syndrome. During the implementation component, training was shortened for feasibility with government health workers. Peer-to-peer supervision was selected as a sustainable quality assurance method. IPT-G delivered by community health workers was evaluated for fidelity, patient outcomes, and other process-level variables. More than 90% of beneficiaries completed the treatment program, which was effective in reducing caregiver and child mental health problems. With the Ministry of Health, we conducted preparatory activities for the maintenance and evolution component for scale-up throughout the country. CONCLUSIONS: The REP framework provides a systematic approach to guide contextualization of psychological treatments for delivery in low-resource public health systems. Specific recommendations are provided for REP's application in global mental health. TRIAL REGISTRATION: ISRCTN11382067 ; 08/06/2016; retrospectively registered.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.060
GPT teacher head0.471
Teacher spread0.412 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it