Caring for dementia: A population-based study examining variations in guideline-consistent medical care

Saskia N. Sivananthan, M. Ruth Lavergne, Kimberlyn M. McGrail

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Abstract Background Evidence indicates that early detection and management of dementia care can improve outcomes. We assess variations in dementia care based on processes outlined in clinical guidelines by the BC Ministry of Health. Method A population-based retrospective cohort study of community-dwelling seniors using patient-level administrative data in British Columbia, Canada. Guidelines measured: laboratory testing, imaging, prescriptions, complete examination, counseling, and specialist referral. Results Older patients were less likely to receive guideline-consistent medical care. Patients in higher income categories had higher odds of receiving counseling (confidence interval or CI 1.13-153) and referrals (15.1 CI 1.18-1.95) compared with those of lower income. Over a quarter of the cohort received an antipsychotic (28%) or nonrecommended benzodiazepine (26%). Individuals living within "rural" health authorities or of low income were more likely to receive antipsychotic treatment. Conclusion Patterns of inequality by age and income may signal barriers to care, particularly for management of dementia care processes.

Original languageEnglish
Article number1972
Pages (from-to)906-916
Number of pages11
JournalAlzheimer's and Dementia
Volume11
Issue number8
DOIs
Publication statusPublished - Aug 1 2015
Externally publishedYes

Bibliographical note

Funding Information:
Funding Source: SS is supported by a Canadian Institutes of Health Research Fredrick Banting and Charles Best Canada graduate scholarship doctoral award.

Publisher Copyright:
© 2015 The Alzheimer's Association.

ASJC Scopus Subject Areas

  • Epidemiology
  • Health Policy
  • Developmental Neuroscience
  • Clinical Neurology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience

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