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Clin Gerontol. 2017 Oct 24:1-5. doi: 10.1080/07317115.2017.1395378. [Epub ahead of print]

Increased Reporting of Exclusionary Diagnoses Inflate Apparent Reductions in Long-Stay Antipsychotic Prescribing.

Author information

1
a VCU-Shenandoah Family Practice Residency , Front Royal , Virginia , USA.
2
b Department of Biostatistics, Department of Family Medicine and Population Health , Virginia Commonwealth University , Richmond , Vorginia , USA.

Abstract

OBJECTIVE:

Over the two years following the 2012 introduction of CMS's National Partnership, combined rates of schizophrenia, Tourette's, and Huntington's in US long-stay residents increased 12%. We evaluated trends in reporting of these diagnoses for the subgroup of long-stay residents on antipsychotics.

METHODS:

Retrospective analysis of Virginia Medicaid claims identified annual utilization rates of psychiatric diagnoses for long-stay seniors on antipsychotics. Chi-square analysis compared rates for the year before March, 2012 with the same 12-month period 1 year later. A 5-year pre-existing baseline rate was also obtained.

RESULTS:

Diagnosis rates for 2011 were unchanged from baseline. Comparing 2011 with 2013, diagnoses rates for schizophrenia, Tourette's, and Huntington's combined increased 40% (p < .0001), primarily because schizophrenia reporting nearly doubled (p < .0001).

CONCLUSIONS:

For long-stay seniors on antipsychotics, reporting of schizophrenia, Tourette's, and Huntington's began increasing in 2012 and at almost triple the rate CMS described for the general long-stay population. The increased reporting of these diagnoses described by CMS since 2012 appears to be new and concentrated in residents on antipsychotics Clinical Implications: Since antipsychotics prescribed for schizophrenia, Tourette's, and Huntington's are excluded from quality-measure auditing, apparent reductions in inappropriate long-stay antipsychotic use since the National Partnership may be exaggerated.

KEYWORDS:

Antipsychotics; Centers for Medicare and Medicaid Services; Medicaid; data interpretation; health policy; nursing home; statistical

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