What is known about women's experiences of homelessness in high income contexts? Evidence from a systematic review
Notice bibliographique
Résumé
Introduction: Homelessness is a significant public policy and health service challenge globally. Globally, prevalence of homelessness is underreported and is poorly defined. This review seeks to expand on the traditional narrative of homelessness as a primarily an experience of single men extending the narrative to women and their families. Homelessness as a concept is context bound is and hard to define, and many measurement approaches exclude women by design. This meta-ethnography presents a review of published evidence from studies located in high income countries that focus on women’s experiences. A deeper understanding of gender as a driver in social exclusion is critical to both planning and delivering improved health and care responses to marginalised and excluded groups. Methods: Following Noblit and Hare (1988) and the seven phases of the eMERGe guidelines (2019), we conducted a meta-ethnography. Systematic searches of MEDLINE, Embase, Global Health, PsycINFO, CINAHL and ASSIA were completed for the years 2012 to 2022. We included peer-reviewed publications published in English that reported primary qualitative data on women’s experiences of homelessness in high income countries. A study protocol was followed for rigour. This is registered with PROSPERO, CRD42022359937. Title and abstract screening were completed independently by three reviewers. The CASP checklist was utilised for methodological quality assessment. Data was 50% double blind extracted into a bespoke spreadsheet to ensure consistency of extraction and coding. We are in the final stages phases of the meta-ethnographic synthesis therefore present preliminary findings. Results: 33 articles reporting 32 studies from the 3078 records screened were included in the analysis. 37.5% of studies are from the USA (12/32) with 18.8 % (6/32) of studies reporting from Canada and from the UK, and 15.6% (5/32) studies were located in Australia. Evidence is also reported from Ireland, Israel and Poland. Using various qualitative designs, studies reported on 763 unique women’s experiences of homelessness. All studies included describe homelessness as a highly gendered experience with gender-based violence a key feature of the experience of homelessness for women, 9 of the 33 studies provide detailed evidence of this. A minority (6/32) studies present evidence of the recurrent nature of experiences of intimate partner violence, sexual assault, and exploitation both as key antecedents to women becoming homelessness and in remaining so. Discussion: Preliminary emergent themes from the meta ethnography indicate that women themselves experience significant harms whilst homeless, particularly gender-based violence and that homeless women are often trapped in a revolving cycle of housing and social exclusion by this. Many of the service responses described by women are gender blind in design and delivery which inadvertently compounds the challenges they face. Conclusion: Women experiencing homelessness are at the sharp edges of societal gender disparities. This results in reduced access to housing and health supports. Studies included primarily provided evidence from women in a range of temporary sheltered settings in North America. More evidence is needed of unsheltered women’s experiences in a European context.
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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 | 0,031 | 0,142 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,002 |
| Méta-épidémiologie (sens large) | 0,007 | 0,007 |
| Bibliométrie | 0,016 | 0,018 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,005 | 0,006 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».