DICE-HC: Home Care Client Outcomes from a 10-Month Feedback Trial in Alberta
by Anne Sales / University of Michigan
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Description
A 10-month audit with feedback intervention study was conducted with care providers in seven home care offices in Alberta, Canada, evaluating effects on four quality indicators: pain, falls, delirium, and hospital visits. The data was derived from the Resident Assessment Instrument - Home Care (RAI-HC) and analyzed using segmented regression. The project was led by Anne Sales of the University of Michigan.
Use Cases
Analyzing the impact of quarterly feedback reports on client-reported pain levels based on the described intervention.
Modeling trends in falls and delirium reporting before, during, and after a feedback intervention using interrupted time series methods.
Evaluating the relationship between feedback reporting and hospital visit rates as described in the trial results.
Comparing changes in reported quality indicators against a comparator condition (pressure ulcer reporting) not included in feedback.
Strengths
Data originates from a structured 10-month intervention trial with a defined pre-, during, and post-intervention period.
Includes four specific quality indicators (pain, falls, delirium, hospital visits) and a comparator condition for analysis.
Involved seven home care offices, providing a multi-site perspective on the intervention.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Last update date is unknown; freshness unverified.
Provenance
Source
University of Michigan, Anne Sales, via paperswithcode.
Collection Method
Data derived from the Resident Assessment Instrument - Home Care (RAI-HC) as part of the DICE-HC project's audit and feedback intervention.
Time Range
Covers a 10-month intervention period plus pre- and post-intervention observation.
Geography
Seven home care offices in Alberta, Canada.
License is listed as Open Access (gold); specific terms should be verified.