Qualitative investigation of barriers to accessing care by people who inject drugs in Saskatoon, Canada: perspectives of service providers
Bibliographic record
Abstract
BACKGROUND: People who inject drugs (PWID) often encounter barriers when attempting to access health care and social services. In our previous study conducted to identify barriers to accessing care from the perspective of PWIDs in Saskatoon, Canada: poverty, lack of personal support, discrimination, and poor knowledge and coordination of service providers among other key barriers were identified. The purpose of the present investigation was to explore what service providers perceive to be the greatest barriers for PWIDs to receive optimal care. This study is an exploratory investigation with a purpose to enrich the literature and to guide community action. METHODS: Data were collected through focus groups with service providers in Saskatoon. Four focus groups were held with a total of 27 service providers. Data were transcribed and qualitative analysis was performed. As a result, concepts were identified and combined into major themes. RESULTS: Four barriers to care were identified by service providers: inefficient use of resources, stigma and discrimination, inadequate education and the unique and demanding nature of PWIDs. Participants also identified many successful services. CONCLUSION: The results from this investigation suggest poor utilization of resources, lack of continuing education of health care providers on addictions and coping skills with such demanding population, and social stigma and disparity. We recommend improvements in resource utilization through, for example, case management. In addition, sensitivity training and more comprehensive service centers designed to meet PWID's complex needs may improve care. However, community-wide commitment to addressing injection drug issues will also be required for lasting solutions.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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, 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".