A need for implementation science to optimise the use of evidence-based interventions in HIV care: A systematic literature review
Bibliographic record
Abstract
To improve health outcomes in people living with HIV, adoption of evidence-based interventions (EBIs) using effective and transferable implementation strategies to optimise the delivery of healthcare is needed. ViiV Healthcare's Positive Pathways initiative was established to support the UNAIDS 90-90-90 goals. A compendium of EBIs was developed to address gaps within the HIV care continuum, yet it was unknown whether efforts existed to adapt and implement these EBIs across diverse clinical contexts. Therefore, this review sought to report on the use of implementation science in adapting HIV continuum of care EBIs. A systematic literature review was undertaken to summarise the evaluation of implementation and effectiveness outcomes, and report on the use of implementation science in HIV care. Ten databases were reviewed to identify studies (time-period: 2013-2018; geographic scope: United States, United Kingdom, France, Germany, Italy, Spain, Canada, Australia and Europe; English only publications). Studies were included if they reported on people living with HIV or those at risk of acquiring HIV and used interventions consistent with the EBIs. A broad range of study designs and methods were searched, including hybrid designs. Overall, 118 publications covering 225 interventions consistent with the EBIs were identified. These interventions were evaluated on implementation (N = 183), effectiveness (N = 81), or both outcomes (N = 39). High variability in the methodological approaches was observed. Implementation outcomes were frequently evaluated but use of theoretical frameworks was limited (N = 13). Evaluations undertaken to assess effectiveness were inconsistent, resulting in a range of measures. This review revealed extensive reporting on implementation science as defined using evaluation outcomes. However, high variability was observed in how implementation outcomes and effectiveness were defined, quantified, and reported. A more specific and consistent approach to conducting and reporting on implementation science in HIV could facilitate achievement of UNAIDS 90-90-90 targets.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".