Facilitators of and barriers to accessing clinical prevention services for the South Asian population in Surrey, British Columbia: a qualitative study
Bibliographic record
Abstract
BACKGROUND: British Columbia falls short in uptake of recommended clinical prevention services, with even lower rates among immigrant populations. This study explored facilitators of and barriers to uptake of clinical prevention services among people from South Asia, who represent 31% of the population in Surrey, British Columbia. METHODS: We used a qualitative descriptive approach and employed vignettes in a focus group setting to elicit perspectives of South Asian people on accessing clinical prevention services. Participants aged 40 years or more were recruited between October 2014 and February 2015 from health care and community settings such as older-adult housing, day programs and health education events. Letters of introduction to the study were provided in English or Punjabi or both to all potential participants. We conducted qualitative content analysis of the results. RESULTS: Sixty-two South Asian adults (36 women and 26 men) aged 40-87 years participated in 1 of 8 focus groups in health care or community settings. Facilitators of and barriers to accessing clinical prevention services were noted at the patient, primary care provider and health care system levels. Facilitators at the patient level included taking ownership over one's health, health literacy and respecting the provider's advice; barriers included fear of the diagnosis, death and/or procedures, perceived low risk of disease or utility of the intervention, and side effects of procedures. Provider factors centred on a trust-based patient-provider relationship, strong communication and adequate time during visits. Health care system factors included such facilitators as processes to routinely offer prevention services as part of other health care or social services, systems that encourage prevention-oriented family practice and services at low or no cost to the patient. INTERPRETATION: Our findings validate previously identified facilitators of and barriers to accessing preventive care for immigrant populations. However, the results suggest that system-level factors influencing the duration of primary care visits may have a more salient impact on uptake of clinical prevention services in this population.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".