Opportunity
CanadaBuys #AB-2026-05804
Alberta Assisted Living and Social Services seeks contractor for repeat Elder Abuse Prevalence Study
Posted
August 19, 2026
Respond By
September 09, 2026
Identifier
AB-2026-05804
NAICS
541720
The Alberta Department of Assisted Living and Social Services is seeking a contractor to conduct a repeat Elder Abuse Prevalence Study among seniors living in community dwellings. - Government buyer: - Department of Assisted Living and Social Services, Alberta provincial government - OEMs and vendors: - No specific OEMs or vendors are named in the solicitation - Products/services requested: - Survey administration, data collection, processing, analysis, interpretation, and reporting - Replication of the 2023-24 study methodology, which surveyed approximately 1,500 seniors - Measurement of five abuse subtypes: neglect, psychological/emotional, physical, sexual, and financial - Cognitive screening and trauma-informed approach required - Proponents must recommend a sample size for comparability and statistical precision, and justify any methodological changes - Unique or notable requirements: - Trauma-informed practices to ensure respondent safety - Stratification by age, gender, and geographic region - Methodological rigor to match previous study for reliable comparison - Contract duration is four months
Description
The Department of Assisted Living and Social Services is seeking a contractor to conduct a repeat Alberta Elder Abuse Prevalence Study among seniors living in community dwellings. The contractor will handle survey administration, data collection, processing, analysis, interpretation, and reporting. The study aims to assess changes in elder abuse prevalence since the 2023-24 study to support policy review and program development. The project replicates the 2023-24 study methodology, surveying approximately 1,500 seniors across Alberta, measuring five subtypes of abuse. The study includes a cognitive screening component and a trauma-informed approach to ensure respondent safety and data reliability.