Jiska Cohen-Mansfield1, Alexander Libin, Marcia S Marx. 1. Research Institute on Aging of the Charles E. Smith Life Communities, 6121 Montrose Road, Rockville, MD 20852, USA. cohen-mansfield@hebrew-home.org
Abstract
OBJECTIVE: The objective of this study was to examine the efficacy of a systematic algorithm for providing individualized, nonpharmacological interventions for reducing agitated behaviors in nursing home residents with dementia. METHODS: This placebo-controlled study combined nomothetic and ideographic methodologies. The study was conducted in 12 nursing home buildings in Maryland; 6 were used as treatment facilities, and 6 as control facilities. Participants were 167 elderly nursing home residents with dementia. Interventions were tailored to the individual profiles of agitated participants using a systematic algorithm that considered type of agitation and unmet needs. Interventions were then designed to fulfill the need in a manner that matched the person's cognitive, physical, and sensory abilities, and their lifelong habits and roles. Interventions were provided for 10 days during the 4 hours of greatest agitation. Direct observations of agitation were recorded by trained research assistants via the Agitated Behavior Mapping Instrument (ABMI). Evaluation of positive and negative affect was also based on direct observation and assessed via Lawton's Modified Behavior Stream. Data analysis was performed via SPSS software. RESULTS: The implementation of personalized, nonpharmacological interventions resulted in statistically significant decreases in overall agitation in the intervention group relative to the control group from baseline to treatment (F(1,164) = 10.22, p =.002). In addition, implementation of individualized interventions for agitation resulted in statistically significant increases in pleasure and interest (F(1,164) = 24.22, p <.001; F(1,164) = 20.66, p <.001). CONCLUSIONS: The findings support the use of individualized nonpharmacological interventions to treat agitation in persons with dementia and underscore the importance for clinicians of searching for underlying reasons for agitated behaviors.
RCT Entities:
OBJECTIVE: The objective of this study was to examine the efficacy of a systematic algorithm for providing individualized, nonpharmacological interventions for reducing agitated behaviors in nursing home residents with dementia. METHODS: This placebo-controlled study combined nomothetic and ideographic methodologies. The study was conducted in 12 nursing home buildings in Maryland; 6 were used as treatment facilities, and 6 as control facilities. Participants were 167 elderly nursing home residents with dementia. Interventions were tailored to the individual profiles of agitated participants using a systematic algorithm that considered type of agitation and unmet needs. Interventions were then designed to fulfill the need in a manner that matched the person's cognitive, physical, and sensory abilities, and their lifelong habits and roles. Interventions were provided for 10 days during the 4 hours of greatest agitation. Direct observations of agitation were recorded by trained research assistants via the Agitated Behavior Mapping Instrument (ABMI). Evaluation of positive and negative affect was also based on direct observation and assessed via Lawton's Modified Behavior Stream. Data analysis was performed via SPSS software. RESULTS: The implementation of personalized, nonpharmacological interventions resulted in statistically significant decreases in overall agitation in the intervention group relative to the control group from baseline to treatment (F(1,164) = 10.22, p =.002). In addition, implementation of individualized interventions for agitation resulted in statistically significant increases in pleasure and interest (F(1,164) = 24.22, p <.001; F(1,164) = 20.66, p <.001). CONCLUSIONS: The findings support the use of individualized nonpharmacological interventions to treat agitation in persons with dementia and underscore the importance for clinicians of searching for underlying reasons for agitated behaviors.
Authors: K Radenbach; J Retzlik; S H Meyer-Rötz; C Wolff-Menzler; J Wolff; H Esselmann; F Godemann; M Riemenschneider; J Wiltfang; F Jessen Journal: Nervenarzt Date: 2017-09 Impact factor: 1.214
Authors: Cornelia Beck; Jean C McSweeney; Kathy C Richards; Paula K Roberson; Pao-Feng Tsai; Elaine Souder Journal: Nurs Outlook Date: 2010 Mar-Apr Impact factor: 3.250
Authors: Jiska Cohen-Mansfield; Marcia S Marx; Laurence S Freedman; Havi Murad; Khin Thein; Maha Dakheel-Ali Journal: J Psychiatr Res Date: 2011-12-29 Impact factor: 4.791