Barriers to Prescription Medication Adherence Among Homeless and Vulnerably Housed Adults in Three Canadian Cities
Bibliographic record
Abstract
OBJECTIVES: Medication adherence is an important determinant of successful medical treatment. Marginalized populations, such as homeless and vulnerably housed individuals, may face substantial barriers to medication adherence. This study aimed to determine the prevalence of, reasons for, and factors associated with medication nonadherence among homeless and vulnerably housed individuals. Additionally, we examined the association between medication nonadherence and subsequent emergency department utilization during a 1-year follow-up period. METHODS: Data were collected as part of the Health and Housing in Transition study, a prospective cohort study tracking the health and housing status of 595 homeless and 596 vulnerably housed individuals in 3 Canadian cities. Logistic regression was used to identify factors associated with medication nonadherence, as well as the association between medication nonadherence at baseline and subsequent emergency department utilization. RESULTS: Among 716 participants who had been prescribed a medication, 189 (26%) reported nonadherence. Being ≥40 years old was associated with decreased likelihood of nonadherence (adjusted odds ratio [AOR] = 0.59; 95% confidence interval [CI] = 0.41-0.84), as was having a primary care provider (AOR = 0.49; 95% CI = 0.34-0.71). Having a positive screen on the AUDIT (Alcohol Use Disorders Identification Test; an indication of harmful or hazardous drinking) was associated with increased likelihood of nonadherence (AOR = 1.86; 95% CI = 1.31-2.63). Common reasons for nonadherence included side effects, cost, and lack of access to a physician. Self-reported nonadherence at baseline was significantly associated with frequent emergency department use (≥3 visits) over the follow-up period at the bivariate level (OR = 1.55; 95% CI = 1.02-2.35) but was not significant in a multivariate model (AOR = 1.49; 95% CI = 0.96-2.32). CONCLUSION: Homeless and vulnerably housed individuals face significant barriers to medication adherence. Health care providers serving this population should be particularly attentive to nonadherence among younger patients and those with harmful or hazardous drinking patterns.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".