Curtailing Antipsychotic Use in LTC Medicine: Reducing Off-Label Antipsychotic Medication Use Among Maine Skilled Nursing Centers with the CALM Intervention

2016 ◽  
Vol 17 (3) ◽  
pp. B13-B14
Author(s):  
Jabbar Fazeli ◽  
Jabbar Fazeli ◽  
Nicholas Bridges ◽  
Rosa Baier ◽  
Holly Harmon ◽  
...  
Keyword(s):  
Antipsychotic Medication ◽  
Medication Use ◽  
Skilled Nursing ◽  
Off Label ◽  
Nursing Centers

Predicting Off-Label Antipsychotic Medication Use in a Randomly Selected Nursing Home Sample Based on Resident and Facility Characteristics

2016 ◽  
Vol 9 (6) ◽  
pp. 257-266 ◽  
Author(s):  
William E. Mansbach ◽  
Ryan A. Mace ◽  
Kristen M. Clark ◽  
Isabella M. Firth ◽  
Jacqueline K. Breeden
Keyword(s):  
Nursing Home ◽  
Antipsychotic Medication ◽  
Medication Use ◽  
Off Label

scholarly journals A retrospective, longitudinal study of factors associated with new antipsychotic medication use among recently admitted long-term care residents

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Andrea Foebel ◽  
Anna Ballokova ◽  
Nathalie IH Wellens ◽  
Daniela Fialova ◽  
Koen Milisen ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Antipsychotic Medication ◽  
Long Term Care ◽  
Medication Use ◽  
Term Care ◽  
Factors Associated

scholarly journals FACTORS THAT INFLUENCE PSYCHOTROPIC MEDICATION USE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S558-S558
Author(s):  
Barbara Resnick ◽  
Elizabeth Galik
Keyword(s):  
Cognitive Impairment ◽  
Data Analysis ◽  
Antipsychotic Medication ◽  
Psychotropic Medication ◽  
Medication Use ◽  
Secondary Data ◽  
Behavioral Symptoms ◽  
Factors Associated ◽  
Resistiveness To Care ◽  
N 93

Abstract Understanding the factors that influence psychotropic can guide reduction in use of these medications. This study described predictors of psychotropics use among residents with moderate to severe cognitive impairment. This was a secondary data analysis using baseline data from the first 341 residents in the EIT-4-BPSD trial. Predictive measures included demographics, agitation, resistiveness to care, depression, cognition, pain, facility factors and state. Overall 63% (n=211) received at least one psychotropic medication, 16% (n=52) an anti-seizure medication, 23% (n=77) an anxiolytic, 30% (n=99) an antidepressant, 2% (n=8) a sedative hypnotic, 28% (n=93) an antipsychotic medication, and 9% (n=29) an opioid. Model testing explained 9 to 15% of psychotropic medication use. There were high rates of psychotropic medication use and a limited association between demographic factors, behavioral symptoms, and psychotropic medication use. Continued research is needed to explore additional factors associated with psychotropic medication use such as beliefs of providers.

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