Validation study of health administrative data algorithms to identify individuals experiencing homelessness and estimate population prevalence of homelessness in Ontario, Canada

OBJECTIVES: To validate case ascertainment algorithms for identifying individuals experiencing homelessness in health administrative databases between 2007 and 2014; and to estimate homelessness prevalence trends in Ontario, Canada, between 2007 and 2016. DESIGN: A population-based retrospective val...

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Detalles Bibliográficos
Autores principales: Richard, Lucie, Hwang, Stephen W, Forchuk, Cheryl, Nisenbaum, Rosane, Clemens, Kristin, Wiens, Kathryn, Booth, Richard, Azimaee, Mahmoud, Shariff, Salimah Z
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797366/
https://www.ncbi.nlm.nih.gov/pubmed/31594882
http://dx.doi.org/10.1136/bmjopen-2019-030221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797366/
https://www.ncbi.nlm.nih.gov/pubmed/31594882
http://dx.doi.org/10.1136/bmjopen-2019-030221

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