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Record W3111650507 · doi:10.1186/s12875-020-01339-y

Legal needs of patients attending an urban family practice in Hamilton, Ontario, Canada: an observational study of a legal health clinic

2020· article· en· W3111650507 on OpenAlex
Gina Agarwal, Melissa Pirrie, Dan Edwards, Bethany Delleman, Sharon Crowe, Hugh Tye, Jayne Mallin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBMC Family Practice · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsHamilton Health SciencesMcMaster UniversityImpact
FundersOntario Trillium Foundation
KeywordsMedicineObservational studyFamily medicinePovertyHealth careLogistic regressionIntervention (counseling)PsychiatryLaw

Abstract

fetched live from OpenAlex

BACKGROUND: Individuals living in poverty often visit their primary care physician for health problems resulting from unmet legal needs. Providing legal services for those in need may therefore improve health outcomes. Poverty is a social determinant of health. Impoverished areas tend to have poor health outcomes, with higher rates of mental illness, chronic disease, and comorbidity. This study reports on a medical-legal collaboration delivered in a healthcare setting between health professionals and lawyers as a novel way to approach the inaccessibility of legal services for those in need. METHODS: In this observational study, patients aged 18 or older were either approached or referred to complete a screening tool to identify areas of concern. Patients deemed to have a legal problem were offered an appointment at the Legal Health Clinic, where lawyers provided legal advice, referrals, and services for patients of the physicians. Fisher's exact test was used to compare populations. Binary logistic regression was used to determine the factors predicting booking an appointment with the clinic. RESULTS: Eighty-four percent (n = 648) of the 770 patients screened had unmet legal needs and could benefit from the intervention, with an average of 3.44 (SD = 3.42) legal needs per patient screened. Patients with legal needs had significantly higher odds of attending the Legal Health Clinic if they were an ethnicity that was not white (OR = 2.48; 95% CI 1.14-5.39), did not have Canadian citizenship (OR = 4.40; 95% CI 1.48-13.07), had housing insecurity (OR = 3.33; 95% CI 1.53-7.24), and had difficulty performing their usual activities (OR = 2.83; 95% CI 1.08-7.43). As a result of the clinic consultations, 58.0% (n = 40) were referred to either Legal Aid Ontario or Hamilton Community Legal Clinic, 21.74% (n = 15) were referred to a private lawyer; one case was taken on by the clinic lawyer. CONCLUSION: The Legal Health Clinic was found to fulfill unmet legal needs which were abundant in this urban family practice. This has important implications for the future health of patients and clinical practice. Utilizing a Legal Health Clinic could translate into improved health outcomes for patients by helping overcome barriers in accessing legal services and addressing social causes of adverse health outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.010
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.256
GPT teacher head0.433
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it