Adapting a skills-based stroke prevention intervention for communities in Ghana: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Stroke is a major cause of death in Ghana. Evidence-based interventions for stroke prevention have been successful in the US; however, in low- and middle-income countries (LMICs), such interventions are scarce. The "Discharge Education Strategies for Reduction of Vascular Events" (DESERVE) intervention led to a 10-mmHg reduction in systolic blood pressure (SBP) among Hispanic survivors of mild/moderate stroke and transient ischemic attack (TIA) at 1-year follow-up. Our objectives were to capture the perceptions of a diverse set of stakeholders in an urban community in Ghana regarding (1) challenges to optimal hypertension management and (2) facilitators and barriers to implementation of an evidence-based, skills-based educational tool for hypertension management in this context. METHODS: This exploratory study used purposive sampling to enroll diverse stakeholders in Accra (N = 38). To identify facilitators and barriers, we conducted three focus group discussions: one each with clinical nurses (n = 5), community health nurses (n = 20), and hypertensive adults (n = 10). To further examine structural barriers, we conducted three key informant interviews with medical leadership. All interviews were audio recorded and transcribed. Thematic analysis was carried out via deductive coding based on Proctor's implementation outcomes taxonomy, which conceptualizes constructs that shape implementation, such as acceptability, adoption, appropriateness, cost, and feasibility. RESULTS: Findings highlight facilitators, such as a perceived fit (appropriateness) of the core intervention components across stakeholders. The transferable components of DESERVE include: (1) a focus on risk knowledge, medication adherence, and patient-physician communication, (2) facilitation by lay workers, (3) use of patient testimonials, (4) use of a spirituality framework, and (5) application of a community-based approach. We report potential barriers that suggest adaptations to increase appropriateness and feasibility. These include addressing spiritual etiology of disease, allaying mistrust of biomedical intervention, and tailoring for gender norms. Acceptability may be a challenge among individuals with hypertension, who perceive relative advantage of alternative therapies like herbalism. Key informant interviews highlight structural barriers (high opportunity costs) among physicians, who perceive they have neither time nor capacity to educate patients. CONCLUSIONS: Findings further support the need for theory-driven, evidence-based interventions among hypertensive adults in urban, multiethnic Ghana. Findings will inform implementation strategies and future research.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".