‘It’s so simple’ Lessons from the margins: a qualitative study of patient experiences of a mobile health clinic in Hamilton, Ontario, Canada
Bibliographic record
Abstract
OBJECTIVE: Our study explored the experiences of clients of HAMSMaRT (Hamilton Social Medicine Response Team), a mobile health service, in the context of their experiences of the overall healthcare system. DESIGN: We conducted a qualitative study with reflexive thematic analysis. SETTING: HAMSMaRT is a mobile health service in Hamilton, Ontario Canada providing primary care, internal and addiction medicine and infectious diseases services. PARTICIPANTS: Eligible participants were clients of HAMSMaRT who could understand English to do the interview and at least 16 years of age. Fourteen clients of HAMSMaRT were interviewed. RESULTS: Our findings represented five themes. When the themes of people deserve care, from the margins to the centre, and improved and different access to the system are enacted, the model of care works, represented by the theme it works!. The way in which participants compared their experiences of HAMSMaRT to the mainstream healthcare system insinuated how simple it is, represented by the theme it's so simple. CONCLUSIONS: Our findings offer guidance to the broader healthcare system for walking from the rhetoric to practice of person-centred care.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Qualitative | high |
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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.019 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".