Dataset Information

Testing the Impact of FFC-AL-EIT on Psychosocial and Behavioral Outcomes in Assisted Living.

ABSTRACT:

Background

This study tested the impact of Function Focused Care for Assisted Living Using the Evidence Integration Triangle (FFC-AL-EIT) on: (1) care interactions between residents and direct care staff; and (2) behavior and psychological symptoms associated with dementia among residents.

Design

This was a randomized controlled trial.

Setting

A total of 59 assisted living facilities in Maryland, Pennsylvania, and Massachusetts participated.

Participants

The sample included 550 mostly White (98%), female (69%) residents with a mean age of 89.30 (standard deviation = 7.63) years.

Intervention

The four-step FFC-AL-EIT intervention was implemented by a function focused care nurse facilitator working with a facility champion over 12 months. The steps included: (1) environment and policy assessments; (2) education; (3) establishing resident function focused care service plans; and (4) mentoring and motivating.

Measures

Resident descriptive data (e.g., age, sex, education, and comorbidities), depression, agitation, resistiveness to care, and the quality of care interactions were obtained at baseline and 4 and 12 months. Treatment fidelity data included environment and policy assessments, performance of function focused care by staff, and service plan assessments.

Results

There was a significant positive treatment effect related to depression, agitation, resistiveness to care, and quality of care interactions with either less decline or some improvement in these behaviors and symptoms in the treatment versus control group.

Conclusion

The study provides some statistical support, which may not necessarily be clinically significant evidence, for psychosocial outcomes of residents and care interactions between staff and residents in assisted living settings.

SUBMITTER: Resnick B

PROVIDER: S-EPMC8116977 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectivesThe purpose of this study was to evaluate the Function-Focused Care for Assisted Living Using the Evidence Integration Triangle (FFC-AL-EIT) intervention.DesignFFC-AL-EIT was a randomized controlled pragmatic trial including 85 sites and 794 residents.InterventionFFC-AL-EIT was implemented by a Research Nurse Facilitator working with a facility champion and stakeholder team for 12 months to increase function and physical activity among residents. FFC-AL-EIT included (Step I) Environment and Policy Assessments; (Step II) Education; (Step III) Establishing Resident Function-Focused Care Service Plans; and (Step IV) Mentoring and Motivating.Setting and participantsThe age of participants was 89.48 years [standard deviation (SD) = 7.43], and the majority were female (n = 561; 71%) and white (n = 771; 97%).MethodsResident measures, obtained at baseline, 4, and 12 months, included function, physical activity, and performance of function-focused care. Setting outcomes, obtained at baseline and 12 months, included environment and policy assessments and service plans.ResultsReach was based on 85 of 90 sites that volunteered (94%) participating. Effectiveness was based on less decline in function (P < .001), more function-focused care (P = .012) and better environment (P = .032) and policy (P = .003) support for function-focused care in treatment sites. Adoption was supported with 10.00 (SD = 2.00) monthly meetings held, 77% of settings engaged in study activities as or more than expected, and direct care workers providing function-focused care (63% to 68% at 4 months and 90% at 12 months). The intervention was implemented as intended, and education was received based on a mean knowledge test score of 88% correct. Evidence of maintenance from 12 to 18 months was noted in treatment site environments (P = .35) and policies continuing to support function-focused care (P = .28)].Conclusions and implicationsThe Evidence Integration Triangle is an effective implementation approach for assisted living. Future work should continue to consider innovative approaches for measuring RE-AIM outcomes.