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Nursing homes underreport antipsychotic prescribing
Becky A Briesacher1, Brianne Mui1, John W Devlin1
1Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA.
Nursing homes often underreport antipsychotic prescribing to Medicare. This discrepancy, particularly for residents with dementia, increased after a Medicare campaign aimed at reducing antipsychotic use.
Area of Science:
- Gerontology
- Health Services Research
- Pharmacoepidemiology
Background:
- Antipsychotic medication use in nursing homes is a significant concern.
- Medicare implemented a campaign to reduce antipsychotic prescribing in long-stay nursing home residents.
- Accurate data on antipsychotic prescribing is crucial for evaluating public health initiatives.
Purpose of the Study:
- To assess the accuracy of nursing home self-reported antipsychotic prescribing data.
- To compare self-reported data with claims-based prescribing before and after a Medicare campaign.
- To identify factors associated with discrepancies in reporting.
Main Methods:
- A quasi-experimental study design was employed.
- Data from a nationwide sample of 11,912 nursing facilities (2011-2013) were analyzed.
- Prescribing trends were compared between self-reports, Medicare Part D claims, and pharmacy dispensing data for 586,281 long-stay residents.
Main Results:
- Nursing homes consistently underreported antipsychotic prescribing by approximately 1% quarterly compared to Medicare Part D claims.
- The underreporting gap widened by an additional 0.5% after the Medicare campaign.
- Residents with dementia, Alzheimer's disease, or bipolar disorder were at higher risk for underreported prescribing. For-profit facilities and those in the US South showed increased underreporting post-campaign.
Conclusions:
- Nursing home self-reported data may significantly underestimate antipsychotic prescribing rates, potentially misrepresenting up to 6,000 residents per quarter.
- Discrepancies highlight potential biases in self-reported data, impacting the evaluation of interventions.
- High agreement (99.7%) was found between claims and dispensing data, validating claims as a reliable source.
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