A scoping review examining patient experience and what matters to people experiencing homelessness when seeking healthcare
Bibliographic record
Abstract
Abstract Background: Homelessness is associated with significant health disparities. Conventional health services often fail to address the unique needs of homeless individuals. This scoping review aimed to examine areas of patient experience that are most frequently reported by people experiencing homelessness when seeking and receiving healthcare, and to identify existing surveys used to measure patient experience for this cohort. Methods: A scoping review was undertaken reported according to the PRISMA-ScR 2020 Statement. Databases were searched on 1 December 2022: MEDLINE, EMBASE, APA PsychINFO and CINAHL. Included studies focused on people experiencing homelessness, healthcare services and patient experience, primary research, published in English from 2010. Qualitative papers and findings were extracted and synthesized against a modified framework based on the National Institute for Health and Care Excellence guidelines for integrated health and social care for people experiencing homelessness, the Institute of Medicine Framework for Health Care Quality, and Lachman’s multidimensional quality model. Results: 31 studies were included. Of these, 21 were qualitative, seven quantitative and three mixed methods, from the United States of America (n=16), United Kingdom (n=5), Australia (n=5) and Canada (n=4). Health services ranged from primary healthcare to outpatient management, acute care, emergency care and hospital-based healthcare. In qualitative papers, the domains of ‘accessible and timely’, ‘person-centred’, and values of ‘dignity and respect’ and ‘kindness with compassion’ were most prevalent. Among the three patient experience surveys identified, ‘accessible and timely’ and ‘person-centred’ were the most frequent domains. The least frequently highlighted domains and values were ‘equitable’ and ‘holistic’. No questions addressed the ‘safety’ domain. Conclusions: The Primary Care Quality-Homeless questionnaire best reflected the priorities for healthcare provision that were highlighted in the qualitative studies of people experiencing homelessness. The most frequently cited domains and values that people experiencing homelessness expressed as important when seeking healthcare were reflected in each of the three survey tools to varying degrees. Findings suggest that the principles of ‘Kindness and compassion’ require further emphasis when seeking feedback on healthcare experiences and the domains of ‘safety’, ‘equitable’, and ‘efficiency’ are not adequately represented in existing patient experience surveys.
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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 | 0.027 | 0.140 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.020 | 0.026 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".