What does this research mean for the field?

Shortening the reporting period for long-term care facility quality indicators reduces the ability to detect outliers in performance, particularly for low prevalence indicators. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.CHALLENGES_CONSENSUS.

What question did this study set out to answer?

This research aims to assess how different reporting frequencies affect the detection of outliers in long term care facilities.

March 2, 20260 citations

Reporting aged care quality data monthly, quarterly or annually? A cross-sectional study of 349,613 residents and 2,803 long term care facilities.

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RJRobert N. Jorissen GCGillian E. Caughey DHDylan Harries

Key Points

This research aims to assess how different reporting frequencies affect the detection of outliers in long term care facilities.
Conducted a cross-sectional analysis involving 349,613 residents and 2,803 long term care facilities.
Evaluated the impact of reporting intervals (monthly, quarterly, annually) on quality indicator detection.
Focused on low prevalence indicators to determine their sensitivity to reporting frequency.
Shorter reporting periods reduced the ability to detect outliers in performance.
Annual reporting periods were more effective in identifying relative performance of quality indicators.

Abstract

Reducing the LTCF quality indicator reporting period leads to lower ability to detect outliers in LTCF performance, especially for low prevalence indicators. Our results recommend against reporting periods shorter than one year for outlier detection when aiming to identify the relative performance of specific quality indicators.

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View Full Paper

Reporting aged care quality data monthly, quarterly or annually? A cross-sectional study of 349,613 residents and 2,803 long term care facilities.

Key Points

Abstract

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