Legal needs of patients attending an urban family practice in Hamilton, Ontario, Canada: an observational study of a legal health clinic
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».