Physician–Patient Language Discordance and Poor Health Outcomes: A Systematic Scoping Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: This systematic review assessed whether physician–patient language concordance, compared with discordance, is associated with better health outcomes. Methods: A systematic literature search was conducted, without language restrictions, using PubMed, EMBASE, Web of Science, and PsycINFO, from inception to July 2020. We included studies that evaluated the effects of physician–patient language concordance on health outcomes. Articles were screened, selected, and data-extracted in duplicate. Review protocol was prospectively registered (PROSPERO, CRD42020157229). Results: There were 541 citations identified through databases and eight citations through reverse search and Google Scholar. A total of 15 articles (84,750 participants) were included reporting outcomes within five domains: diabetes care (four studies), inpatient care (five studies), cancer screening (three studies), healthcare counseling (two studies), and mental health care (one study). Ten studies were of good quality, four were fair, and one was poor, according to the modified Newcastle-Ottawa Scale. Eight studies (53%) showed a significant negative association between language discordance and at least one clinical outcome. Five studies (33%) found no association. Conclusion: Over half the evidence collated showed that physician–patient language concordance was associated with better health clinical outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it