Using Clustering Methods to Map the Experience Profiles of Dementia Caregivers.

Background and Objectives: Caregivers of persons living with dementia report wide-ranging lived experiences, including feelings of burden and frustration but also positivity about caregiving. This study applies clustering methodology to novel survey data to explore variation in caregiving experience profiles, which could then be used to design and target caregiver interventions aimed at improving caregiver well-being. Research Design and Methods: The k-means clustering algorithm partitioned a sample of 81 caregivers from the Midwest region of the United States on the basis of 8 variables capturing caregiver emotions, attitudes, knowledge, and network perceptions (adversity: burden, anxiety, network malfeasance; network nonfeasance; positivity: positive aspects of caregiving, preparedness and confidence in community-based care, knowledge about community services for older adults, and network uplift). The experience profile of each segment is described qualitatively and then regression methods were used to examine the association between (a) experience profiles and caregiver demographic characteristics and (b) experience profiles and study attrition. Results: The clustering algorithm identified 4 segments of caregivers with distinct experience profiles: Thriving (low adversity, high positivity); Struggling with Network (high network malfeasance); Intensely Struggling (high adversity, low positivity); Detached (unprepared, disconnected, but not anxious). Experience profiles were associated with significantly different demographic profiles and attrition rates. Discussion and Implications: How caregivers respond to support interventions may be contingent on caregivers' experience profile. Research and practice should focus on identifying public health strategies tailored to fit caregiver experiences. Clinical Trial Registration: NCT03932812.

Effectiveness of implementing evidence-based approaches to promote physical activity in a Midwestern micropolitan area using a quasi-experimental hybrid type I study design.

BACKGROUND: Much evidence-based physical activity (PA) interventions have been tested and implemented in urban contexts. However, studies that adapt, implement, and evaluate the effectiveness of these interventions in micropolitan rural contexts are needed. The study aimed to evaluate the effectiveness of the Active Ottumwa intervention to promote PA in a micropolitan community. METHODS: Between 2013 - 2019, we implemented Active Ottumwa in a micropolitan setting, and subsequently implemented and evaluated its effectiveness using a Hybrid Type I design. In this paper, we describe the intervention's effectiveness in promoting PA. We collected PA data over 24 months from a cohort of community residents using accelerometers and PA data from two cross-sectional community surveys administered in 2013 and 2018, using the Global Physical Activity Questionnaire. RESULTS: From the cohort, we found significant change in PA over 24 months (P = 0.03) corresponding to a 45-min daily decrease in sedentary activity, a daily increase of 35-min in light PA and 9 min in moderate-to-vigorous PA. There was a statistically significant (P = 0.01) increasing trend at the population-level in the moderate-to-vigorous composition of 7 min between the two cross-sectional assessments (95% CI: 0.1%-1.34%). CONCLUSIONS: The study demonstrates that the adapted evidence-based PA interventions in a micropolitan context is effective.

Developing Community-Level Implementation Networks to Connect Older Adults to Evidence-Based Falls Prevention Programs.

Background: Evidence-based falls prevention programs are available in many communities, but participation in such programs remains low. This study aimed to develop community-based referral networks of organizations to facilitate the uptake of evidence-based falls prevention programs through engaging older adults at risk for falls with the RememberingWhen™ program and connecting them to evidence-based programs in Midwestern communities. Methods: Guided by the Practical, Robust Implementation and Sustainability Model (PRISM), referral networks were developed in two Midwestern communities (urban and micropolitan) through a seven-step community engagement plan: establishing and operationalizing the State-level Advisory Board (SAB), identifying falls prevention resources, conducting community assessments, developing Local Advisory Groups (LAG), operationalizing the LAG, developing referral network and protocols, and implementing the network. Semistructured interviews guided by the RE-AIM framework were conducted with members of the SAB, LAG, administrators and staff from organizations that participated in networks, and older adult participants. Results: After participating in the development of referral networks, participants felt they learned important skills that they can use to develop additional collaborations and networks in the future, emphasized the benefits of building community capacity among organizations with common missions. Interview data yielded strategies on enhancing the referral network's reach, impact, adoption, implementation efficiency, and maintenance. Conclusion: Future sustainability studies of such networks should explore identified challenges and strategies to sustain efforts. Results highlight the importance of ongoing funds to support the efforts of organizational networks in communities.

An app to support oral hygiene care: Increasing attitudes, knowledge, and confidence in identifying oral health problems among caregivers of persons living with dementia.

PURPOSE: To develop and pilot test an App to help family and paid caregivers perform high quality oral hygiene care. METHODS: A prototype of the App was refined based on stakeholder feedback (e.g., dental care professionals, direct care providers, nursing home administrator, family caregivers). The refined App was pilot tested with 16 family caregivers and 15 paid care providers of persons living with dementia (PLWD). Participants completed a pre-test, watched an App demonstration, used it for 2 weeks, and completed a post-test. Surveys included both structured and open-ended questions. RESULTS: Phase 1 data informed the refinement of the App that led to high acceptability and usability by the Phase 2 participants. Both family and paid caregivers reported a significant increase in attitudes toward providing oral hygiene care to frail older adults (p = .05 and p = .02 for family and paid providers, respectively), knowledge about oral health and care (p = .01 and p = .02), and ability to identify oral health problems (p = .005 and p = .01). Additionally, paid caregivers reported increase in perceived support available in providing oral hygiene care (p < .001). CONCLUSION: Stakeholder engaged approach helped increase the acceptability and usability of the App that successfully increase caregivers' attitude, knowledge, and abilities in oral hygiene care provision.