Quality indicators identified by long-term care residents aren’t great at predicting how well a facility will perform during inspections, according to new research.
Canadian investigators found a “weak relationship” between quality indicators identified by residents and inspection performance for long-term care facilities.
The study used inspection report data from 594 long-term care homes throughout Ontario from 2017 to 2018. Researchers then used machine-learning techniques to analyze quality indicators from resident assessments matched how well facilities fared on inspection reports.
The best performing model was able to achieve a classification accuracy of 40.1%, according to the study. Indicators that were most indicative of predicted poor performance were: residents who experienced worsened pain, restraint usage and worsened pressure ulcers.
The findings were published Tuesday in the Journal of Post-Acute and Long-Term Care Medicine.
