Patient‐reported outcome measures in adult <scp>HIV</scp> care: A rapid scoping review of targeted outcomes and instruments used
Bibliographic record
Abstract
OBJECTIVE: There is international interest in the integration of patient-reported outcome measures (PROMs) into routine HIV care, but little work has synthesized the content of published initiatives. We conducted a rapid scoping review primarily to identify their selected patient-reported outcomes and respective instruments. METHODS: Four databases were searched on 4 May 2022 (Medline, Embase, CINAHL and PsychINFO) for relevant English language documents published from 2005 onwards. Dual review of at least 20% of records, full texts and data extraction was performed. Outcomes and instruments were classified with an adapted 14-domain taxonomy. Instruments with evidence of validation were described. RESULTS: Of 13 062 records generated for review, we retained a final sample of 94 documents, referring to 60 distinct initiatives led mostly in the USA (n = 29; 48% of initiatives), Europe (n = 16; 27%) and Africa (n = 9; 15%). The measured patient-reported outcome domains were: mental health (n = 42; 70%), substance use (n = 23; 38%), self-management (n = 16; 27%), symptoms (n = 12; 20%), sexual/reproductive health (n = 12; 20%), physical health (n = 9; 15%), treatment (n= 8; 13%), cognition (n = 7; 12%), quality of life (n = 7; 12%), violence/abuse (n = 6; 10%), stigma (n = 6; 10%), socioeconomic issues (n = 5; 8%), social support (n = 3; 5%) and body/facial appearance (n = 1; 2%). Initiatives measured 2.6 outcome domains, on average (range = 1-11). In total, 62 distinct validated PROMs were identified, with 53 initiatives (88%) employing at least one (M = 2.2). Overwhelmingly, the most used instrument was any version of the Patient Health Questionnaire to measure symptoms of depression, employed by over a third (26; 43%) of initiatives. CONCLUSION: Published PROM initiatives in HIV care have spanned 19 countries and disproportionately target mental health and substance use.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".