Exploration of facilitators and barriers to the implementation of a guideline to reduce HIV-related stigma and discrimination in the Ethiopian healthcare settings: A descriptive qualitative study
Bibliographic record
Abstract
BACKGROUND: The barriers to uptake of guidelines underscore the importance of going beyound the mere synthesis of evidence to tailoring the synthesized evidence into local contexts and situations. This requires in-depth exploration of local factors. This project aimed to assess contextual barriers and facilitators to the implementation of a guideline developed to reduce HIV-related stigma and discrimination (SAD) in the Ethiopian healthcare setting. METHODS: A descriptive qualitative research study was conducted using a semi-structured interview guide informed by the Registered Nurses Association of Ontario (RNAO) framework. The interview was conducted among a purposive sample of seven key informants from Jimma University and Jimma Zone HIV Prevention and Control Office. The interviews were transcribed, coded and analysed using Atlas ti version 7.5 software packages. RESULTS: Guideline attributes, provider-related factors and organizational and practice-related were identified as factors that can potentially affect the implementation of the guideline. The presence of expert patients were identified as agents for guideline implementation, whilst regular health education programs in addition to initiatives related to service quality improvement, were identified as suitable platforms to assist with the implementation of this guideline. Study participants recommended that the guideline should be disseminated through multidisciplinary team (MDT) meetings, gate keepers such as opinion leaders and unit heads, one-to-five networks and mentorship programs, as well as training, workshops and posters. The current study also indicated that continuous monitoring, evaluation and mentorship are critical elements in the integration of the guideline into the system of the hospital. CONCLUSIONS: This study identified that guideline implementation can make use of existing structures and pathways such as MDT meetings, service quality improvement initiatives, one-to-five networks, training and workshops. Teamwork and partnership with stakeholders should be strengthened to strengthen facilitators and tackle barriers related to the implementation of the guideline. Effective implementation of the guideline also requires establishing an implementation structure. Moreover, indicators developed to track the implementation of stigma reduction guideline should be integrated into mentorship, MDT meetings and evaluation programs of the hospital to improve performance and to assist data collection on implementation experiences.
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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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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 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".