Body-Map Storytelling: A Qualitative Exploration of the Lived Experiences of Hospital Care Amongst Street Involved Youth
Notice bibliographique
Résumé
This social work study explores the experiences of hospital care amongst street-involved (SI) youth. Given that SI youth are at a higher risk for health-related harms and experience significant barriers to health care services, they are at an increased likelihood of hospitalization. Yet, inadequate health care support for SI youth remains a critical problem in Canada. While hospital care amongst adult homeless populations has been well studied interdisciplinary, there is a scarcity of research investigating the hospital care experiences amongst SI youth. The aim of this qualitative, arts-based study was to explore how street-life contributes to hospitalization, how SI youth experience and perceive hospital care, and what solutions SI youth had for higher quality health care.\nGuided by anti-oppressive practice and health equity theoretical frameworks, this study situated participants as co-producers of knowledge through the process of body-map storytelling (BMST), an arts-based method of representing experience through life-sized self-portraits. Six youth, who identified as clients of a non-profit organization in Guelph Ontario, participated in the study. Participants were invited to share their stories both visually and verbally through in-depth, one-on-one art-making sessions and interviews with the researcher. Reflexive thematic analysis was used to interpret patterned meanings produced in both visual and verbal data. Ten themes were identified, fitting within four thematic categories related to the research questions: (1) participant experiences of how street life contributes to hospitalization; (2) participant experiences and perceptions of hospital care; (3) participant solutions for higher quality care based on their lived experiences; and (4) participant experiences of BMST.\nThe findings shed light on how SI youth are at a high risk for serious health consequences requiring hospital care. Findings indicate that hospital systems in Ontario continue to perpetuate oppression and inequity through inadequate delivery of care. Study participants offered solutions calling for equitable, effective, and timely care delivered by hospital staff who are skilled, knowledgeable, and compassionate. These solutions map well onto Health Quality Ontario’s framework for quality health care in Ontario. Findings also suggest that application of EQUIP health care’s Equity Oriented Health Care in hospital settings for SI youth would serve as an appropriate model of care, enabling service providers to deliver care that is trauma and violence-informed, culturally safe care/anti-racist, and harm reduction/substance use health focused.\nThis study generates knowledge about how visual research methodologies can help empower participants by engaging them in the research process. This study encourages researchers to share their lived experience as a means of destigmatizing such experiences and minimizing power disparities between researchers and participants. This study also fills a gap in the literature by generating knowledge about what high quality and equity informed health care in hospital settings might look like for SI youth.
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 | 0,007 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,009 | 0,014 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».