Browsing by Subject "informal caregivers"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Health-Related Quality of Life: A Comparative Analysis of Caregivers of People With Dementia, Cancer, COPD/Emphysema, and Diabetes and Noncaregivers, 2015–2018 BRFSS
    (Oxford, 2021-11) Secinti, Ekin; Lewson, Ashley B.; Wu, Wei; Kent, Erin E.; Mosher, Catherine E.; Psychology, School of Science
    Background Many informal caregivers experience significant caregiving burden and report worsening health-related quality of life (HRQoL). Caregiver HRQoL may vary by disease context, but this has rarely been studied. Purpose Informed by the Model of Carer Stress and Burden, we compared HRQoL outcomes of prevalent groups of caregivers of people with chronic illness (i.e., dementia, cancer, chronic obstructive pulmonary disease [COPD]/emphysema, and diabetes) and noncaregivers and examined whether caregiving intensity (e.g., duration and hours) was associated with caregiver HRQoL. Methods Using 2015–2018 Behavioral Risk Factor Surveillance System data, we identified caregivers of people with dementia (n = 4,513), cancer (n = 3,701), COPD/emphysema (n = 1,718), and diabetes (n = 2,504) and noncaregivers (n = 176,749). Regression analyses were used to compare groups. Results Caregiver groups showed small, nonsignificant differences in HRQoL outcomes. Consistent with theory, all caregiver groups reported more mentally unhealthy days than noncaregivers (RRs = 1.29–1.61, ps < .001). Caregivers of people with cancer and COPD/emphysema reported more physically unhealthy days than noncaregivers (RRs = 1.17–1.24, ps < .01), and caregivers of people with diabetes reported a similar pattern (RR = 1.24, p = .01). However, general health and days of interference of poor health did not differ between caregivers and noncaregivers. Across caregiver groups, most caregiving intensity variables were unrelated to HRQoL outcomes; only greater caregiving hours were associated with more mentally unhealthy days (RR = 1.13, p < .001). Conclusions Results suggest that HRQoL decrements associated with caregiving do not vary substantially across chronic illness contexts and are largely unrelated to the perceived intensity of the caregiving. Findings support the development and implementation of strategies to optimize caregiver health across illness contexts.
  • Thumbnail Image
    Item
    User Personas to Guide Technology Intervention Design to Support Caregiver-Assisted Medication Management
    (Oxford, 2022-11) Linden, Anna; Loganathar, Priya; Holden, Richard; Boustani, Malaz; Campbell, Noll; Ganci, Aaron; Werner, Nicole; Herron School of Art
    Informal caregivers often help manage medications for people with ADRD. Caregiver-assisted medication management has the potential to optimize outcomes for caregivers and people with ADRD, but is often associated with suboptimal outcomes. We used the user-centered design persona method to represent the needs of ADRD caregivers who manage medications for people with ADRD to guide future design decisions for technology interventions. Data were collected through virtual contextual inquiry in which caregivers (Nf24) sent daily multimedia text messages depicting medication management activities for seven days each, followed by an interview that used the messages as prompts to understand medication management needs. We applied the persona development method to the data to identify distinct caregiver personas, i.e., evidence-derived groups of prospective users of a future intervention. We used team-based affinity diagramming to organize information about participants based on intragroup (dis)similarities, to create meaningful clusters representing intervention-relevant attributes. We then used group consensus discussion to create personas based on attribute clusters. The six identified attributes differentiating personas were: 1. medication acquisition, 2. medication organization, 3. medication administration, 4. monitoring symptoms, 5. care network, 6. technology preferences. Three personas were identified based on differences on those attributes: Regimented Ruth (independent, proactive, tech savvy, controls all medications), Intuitive Ian (collaborative, uses own judgment, some technology, provides some medication autonomy), Passive Pamela (reactive, easy going, technology novice, provides full medication autonomy). These personas can be used to guide technology intervention design by evaluating how well intervention designs support each of them.