A novel income security intervention to address poverty in a primary care setting: a retrospective chart review
Bibliographic record
Abstract
OBJECTIVE: To examine the development and implementation of a novel income security intervention in primary care. DESIGN: A retrospective, descriptive chart review of all patients referred to the Income Security Heath Promotion service during the first year of the service (December 2013-December 2014). SETTING: A multisite interdisciplinary primary care organisation in inner city Toronto, Canada, serving over 40 000 patients. PARTICIPANTS: The study population included 181 patients (53% female, mean age 48 years) who were referred to the Income Security Health Promotion service and engaged in care. INTERVENTION: The Income Security Health Promotion service consists of a trained health promoter who provides a mixture of expert advice and case management to patients to improve income security. An advisory group, made up of physicians, social workers, a community engagement specialist and a clinical manager, supports the service. OUTCOME MEASURES: Sociodemographic information, health status, referral information and encounter details were collected from patient charts. RESULTS: Encounters focused on helping patients with increasing their income (77.4%), reducing their expenses (58.6%) and improving their financial literacy (26.5%). The health promoter provided an array of services to patients, including assistance with taxes, connecting to community services, budgeting and accessing free services. The service could be improved with more specific goal setting, better links to other members of the healthcare team and implementing routine follow-up with each patient after discharge. CONCLUSIONS: Income Security Health Promotion is a novel service within primary care to assist vulnerable patients with a key social determinant of health. This study is a preliminary look at understanding the functioning of the service. Future research will examine the impact of the Income Security Health Promotion service on income security, financial literacy, engagement with health services and health outcomes.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".