Literature DB >> 27532620

Acute care hospitalization by Aboriginal identity, Canada, 2006 through 2008.

Gisèle Carrière1, Evelyne Bougie1, Dafna Kohen1, Michelle Rotermann1, Claudia Sanmartin1.   

Abstract

BACKGROUND: National data about acute care hospitalization of Aboriginal people are scarce. This study addresses that information gap by describing patterns of hospitalization by Aboriginal identity for leading diagnoses for all provinces and territories except Quebec. DATA AND METHODS: The 2006 Census was linked to the 2006/2007-to-2008/2009 Discharge Abstract Database, which contains hospital records from all acute care facilities in Canada (excluding Quebec). With these linked data, hospital records could be examined by Aboriginal identity, as reported to the census. Hospitalizations were grouped by International Classification of Diseases (ICD-10) chapters based on "the most responsible diagnosis." Age-standardized hospitalization rates were calculated per 100,000 population, and rate ratios (RR) were calculated for Aboriginal groups relative to non-Aboriginal people.
RESULTS: Hospitalization rates were almost invariably higher for First Nations living on and off reserve, Métis, and Inuit living in Inuit Nunangat than for the non-Aboriginal population, regardless of ICD diagnostic chapter. The ranking of age-standardized hospitalization rates by frequency of diagnoses varied slightly by Aboriginal identity. RRs were highest among First Nations living on reserve, especially for endocrine, nutritional and metabolic diseases (RR = 4.9), mental and behavioural disorders (RR = 3.6), diseases of the respiratory system (RR = 3.3), and injuries (RR = 3.2). As well, the rate for endocrine, nutritional and metabolic diseases was high among First Nations living off reserve (RR = 2.7). RRs were also high among Inuit for mental and behavioural disorders (RR = 3.3) and for diseases of the respiratory system (RR = 2.7).
INTERPRETATION: Hospitalization rates varied by Aboriginal identity, and were consistent with recognized health disparities between Aboriginal and non-Aboriginal people. Because many factors besides health affect hospital use, further research is required to understand differences in hospital use by Aboriginal identity. These national data are relevant to health policy formulation and service delivery planning.

Entities:  

Keywords:  Administrative data; First Nations; Inuit; Métis; census; data linkage; health care; hospital records; medical record linkage; on reserve

Mesh:

Year:  2016        PMID: 27532620

Source DB:  PubMed          Journal:  Health Rep        ISSN: 0840-6529            Impact factor:   4.796


  5 in total

1.  Depression or resilience? A participatory study to identify an appropriate assessment tool with Kanien'kéha (Mohawk) and Inuit in Quebec.

Authors:  Liliana Gomez Cardona; Kristyn Brown; Mary McComber; Joy Outerbridge; Echo Parent-Racine; Allyson Phillips; Cyndy Boyer; Codey Martin; Brooke Splicer; Darrell Thompson; Michelle Yang; Gajanan Velupillai; Arlène Laliberté; Melissa Haswell; Outi Linnaranta
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2021-03-08       Impact factor: 4.328

2.  Barriers to Peritoneal Dialysis in Aboriginal Patients.

Authors:  Anna T Mathew; Joonho Park; Mala Sachdeva; Manish M Sood; Karen Yeates
Journal:  Can J Kidney Health Dis       Date:  2018-01-03

3.  First Nations' hospital readmission ending in death: a potential sentinel indicator of inequity?

Authors:  Josée Lavoie; Wanda Phillips-Beck; Kathi Avery Kinew; Grace Kyoon-Achan; Alan Katz
Journal:  Int J Circumpolar Health       Date:  2021-12       Impact factor: 1.228

4.  Cross-cultural adaptation and psychometric properties of the Kessler Distress Scale (K10): an application of the rating scale model.

Authors:  Evandro Morais Peixoto; Daniela Sacramento Zanini; Josemberg Moura de Andrade
Journal:  Psicol Reflex Crit       Date:  2021-07-19

5.  Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data.

Authors:  Sharmin Sharker; Lloyd Balbuena; Gene Marcoux; Cindy Xin Feng
Journal:  BMC Med Res Methodol       Date:  2020-09-16       Impact factor: 4.615

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.