190 CONNECTED HEALTH SUSTAINING HOME STAY IN DEMENTIA (CHESS): FACTORS ASSOCIATED WITH THE BURDEN EXPERIENCED BY CAREGIVERS OF PEOPLE WITH DEMENTIA

Background

To date, little research has been carried out exploring the burden experienced by informal caregivers of People with Dementia (PwD). We explored factors that influence the burden experienced by caregivers of PwD over 12 months.

Methods

Fifty-two PwD and their informal caregivers were recruited by convenience sampling to the “CHESS” Study. Data were collected at five time points over 12 months between April 2017 and November 2019. Mixed model analyses were used to investigate associations of caregiver burden (measured by the Zarit-Burden Interview; ZBI) with factors in four domains: 1) Psychological Well-Being (PWB; measures of anxiety, depression, and caregiver distress); 2) Social Capital and Resources (SCR; incorporating access to community-based health services, transportation needs, education level, occupation and living situation of the PwD, and employment status of the caregiver); 3) Physical Fitness and Health (PFH; including the Quantitative Timed Up and Go (QTUG), baseline grip strength, indices of frailty, sensory acuity); and Managing Everyday life with Dementia (MED; incorporating measures of cognition, behavioural disturbances, functional ability, and indices of dependence of PwD.

Results

Across all domains, caregiver burden significantly increased over time (p<0.001) and less burden was experienced by caregivers of older PwD (p<0.05). In PWB, higher caregiver depression levels predicted higher levels of caregiver burden (p=0.033). In the SCR domain, caregivers of PwD who were independent in their transport needs experienced lower levels of burden (p=0.002). No other factors within the PFH or MED domains reached significance in predicting caregiver burden.

Conclusion

This longitudinal analysis elucidates potential predictors of caregiver burden and highlights the need for future research to be carried out in this area. In particular, psychological well-being in caregivers was shown to significantly impact on the experience of burden. Interventions to alleviate caregiver burden should be tailored to include support for psychological well-being.

192 CONNECTED HEALTH SUSTAINING HOME STAY IN DEMENTIA (CHESS): 12-MONTH TRAJECTORY OF QUALITY OF LIFE IN PEOPLE WITH DEMENTIA

Background

Research is needed to examine how Quality of Life (QoL) changes as dementia progresses. We explored QoL trajectories over a 12-month period and examined factors that influence QoL in People with Dementia (PwD).

Methods

Fifty-two PwD and their informal caregivers participated in the “CHESS” Study. Data were collected at five time points over 12 months between April 2017 and November 2019. Mixed-model analyses were used to investigate associations of self-rated QoL and caregiver-rated QoL (measured by the DEMQoL and DEMQoL Proxy, respectively) with factors in four domains: 1) Psychological Well-Being (PWB; measures of anxiety and depression); 2) Social Capital and Resources (SCR; incorporating access to community-based health services, education level, occupation and living situation of the PwD, employment status of the caregiver); 3) Physical Fitness and Health (PFH; including the Quantitative Timed Up and Go (QTUG), baseline grip strength, indices of frailty, sensory acuity); and Managing Everyday life with Dementia (MED; incorporating measures of cognition, behavioural disturbances, functional ability, indices of dependence of PwD).

Results

Across all domains, caregivers’ ratings of QoL for PwD decreased over time (p=0.012). In PWB, greater levels of depression (p=0.007) and anxiety in the PwD (p<0.001) predicted lower self-rated QoL, and higher caregiver anxiety levels predicted lower caregiver-rated QoL (p=0.012). In PFH, having a caregiver administer medication (p=0.03) was associated with higher self-rated QoL. Interestingly, caregiver-rated QoL was higher for PwD who took longer to return to sitting during the QTUG (p=0.043). In MED, being independently mobile (p=0.012) predicted higher self-rated QoL. No other factors within the SCR domain reached significance in predicting QoL.

Conclusion

This longitudinal analysis elucidates potential predictors of QoL in PwD. Psychological well-being in PwD and their caregivers was shown to significantly impact on QoL, and so, these factors should be routinely included in future research studies and clinical assessments.

194 CONNECTED HEALTH SUSTAINING HOME STAY IN DEMENTIA (CHESS): SMART HEALTH TECHNOLOGY ACCEPTABILITY BY INFORMAL CAREGIVERS OF PEOPLE WITH DEMENTIA

Background

The prevalence of dementia is increasing worldwide, and innovative strategies are required to meet increasing demands on health services. The Connected HEalth Sustaining home Stay in Dementia (CHESS) Study aimed to provide support to People with Dementia (PwD) and their caregivers in their homes. We aimed to quantitatively assess the acceptance of smart connected health technology by caregivers of PwD through use of standardised questionnaires.

Methods

Fifty-two PwD and their informal caregivers were recruited by convenience sampling to the intervention arm of the CHESS Study. An additional 25 dyads acted as control participants. Questionnaire data were collected following completion of the CHESS study from 27 informal caregivers from the CHESS Technology group and 16 informal caregivers from the Control group. Measures of health technology acceptability included the System Usability Scale (SUS), the eHealth Literacy Scale (eHEALS), the Technology Readiness Index 2.0 (TRI), and the Unified Theory of Acceptance and Use of Technology Scale (UTAUT). Univariate analyses of variance were used to explore differences between groups.

Results

Internal consistency (Cronbach’s alpha) was high for all measures (range 0.68 – 0.96). The SUS score for the technology group was high (M=70.07, SD=17.69), indicating that the CHESS technology had a high level of usability. All participants had a high level of eHealth literacy (M=33.61, SD=10.51). Both groups performed similarly on the TRI and UTAUT, however the control group indicated greater discomfort with health technology and felt less secure in providing their personal information electronically to healthcare professionals than the technology group.

Conclusion

Caregivers across the technology and control groups had high levels of eHealth literacy and found health technology to be generally acceptable. The CHESS technology in particular was rated as highly usable on the SUS by those who used it. These findings offer support for a Connected Health model of care.

193 CONNECTED HEALTH SUSTAINING HOME STAY IN DEMENTIA (CHESS): HEALTH-RELATED QUALITY OF LIFE IN CAREGIVERS OF PEOPLE WITH DEMENTIA

Background

Caregivers of People with Dementia (PwD) can experience high levels of distress, which can negatively affect their physical and psychological well-being. We explored factors that influence Health-Related Quality of Life (HRQoL) of caregivers of PwD over 12 months.

Methods

Fifty-two PwD and their informal caregivers were recruited by convenience sampling to the “CHESS” Study. Data were collected at five time points over 12 months between April 2017 and November 2019. Mixed model analyses were used to investigate associations of caregiver HRQoL (measured by the EuroQol Visual Analogue Scale; EQVAS) with factors in four domains: 1) Psychological Well-Being (PWB; measures of anxiety, depression, and caregiver distress); 2) Social Capital and Resources (SCR; incorporating access to community-based health services, transportation needs, education level, occupation and living situation of the PwD, and employment status of the caregiver); 3) Physical Fitness and Health (PFH; including the Quantitative Timed Up and Go (QTUG), baseline grip strength, indices of frailty, sensory acuity); and Managing Everyday life with Dementia (MED; incorporating measures of cognition, behavioural disturbances, functional ability, and indices of dependence of PwD.

Results

In the PWB domain, greater levels of caregiver depression (p<0.001) and a greater change over time in caregiver distress related to PwD behavioural disturbances (p=0.008) predicted lower caregiver HRQoL. In the PFH domain, HRQoL was lower for caregivers of PwD who were frail (p=0.04) and had severe comorbidities (p=0.037). None of the factors within the SCR or MED domains reached significance.

Conclusion

This longitudinal analysis elucidates potential predictors of HRQoL in caregivers of PwD. In particular, caregiver depression and distress related to behavioural disturbances in PwD were shown to significantly impact on HRQoL ratings. Caregiver interventions should be tailored to include support for psychological well-being.