Perspectives of People Living with HIV on Access to Health Care: Protocol for a Scoping Review
Bibliographic record
Abstract
BACKGROUND: Strategies to improve access to health care for people living with human immunodeficiency virus (PLHIV) have demonstrated limited success. Whereas previous approaches have been informed by the views of health providers and decision-makers, it is believed that incorporating patient perspectives into the design and evaluations of health care programs will lead to improved access to health care services. OBJECTIVE: We aim to map the literature on the perspectives of PLHIV concerning access to health care services, to identify gaps in evidence, and to produce an evidence-informed research action plan to guide the Living with HIV program of research. METHODS: This scoping review includes peer-reviewed and grey literature from 1946 to May 2014 using double data extraction. Variations of the search terms "HIV", "patient satisfaction", and "health services accessibility" are used to identify relevant literature. The search strategy is being developed in consultation with content experts, review methodologists, and a librarian, and validated using gold standard studies identified by those stakeholders. The inclusion criteria are (1) the study includes the perspectives of PLHIV, (2) study design includes qualitative, quantitative, or mixed methods, and (3) outcome measures are limited to patient satisfaction, their implied needs, beliefs, and desires in relation to access to health care. The papers are extracted by two independent reviewers, including quality assessment. Data is then collated, summarized, and thematically analyzed. RESULTS: A total of 12,857 references were retrieved, of which 326 documents were identified as eligible in pre-screening, and 64 articles met the inclusion criteria (56% qualitative studies, 38% quantitative studies and 6% mixed-method studies). Only four studies were conducted in Canada. Data synthesis is in progress and full results are expected in June, 2016. CONCLUSIONS: This scoping review will record and characterize the extensive body of literature on perspectives of PLHIV regarding access to health care. A literature repository will be developed to assist stakeholders, decision-makers, and PLHIV in developing and implementing patient-oriented health care programs.
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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 | 0.085 | 0.072 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.012 | 0.014 |
| Bibliometrics | 0.022 | 0.018 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.073 | 0.013 |
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".