What Are the Characteristics of Caregivers Logging in for Support Services?

Caregivers' willingness to pay for digital support services: Comparative survey

BACKGROUND

Considering the substantial information needs experienced by informal caregivers, the increased availability of digital support services for caregivers as well as the potential they offer, further understanding of caregivers' willingness to pay for digital support services is needed.

OBJECTIVE

The aim of this study is to identify associations between informal caregiver's characteristics and their willingness to pay for digital support services in two countries: Italy and Sweden.

METHODS

A sample of 378 respondents participated in a cross-sectional survey. Respondents were recruited by the Italian National Institute of Health and Science on Ageing and the Swedish Family Care Competence Centre. A two-part regression model was used. In the first part, logistic regression analysis was applied to investigate the association between willingness to pay and sets of independent variables (caregiver's demographics, caregiver's socioeconomic resources and caregiving context). In the second part, a generalized linear model (log-link and gamma distribution) was applied to determine the adjusted mean willingness to pay.

RESULTS

More than half of the participants from both countries of our study were willing to pay out of pocket for digital support services. A recommendation by a healthcare professional was the top factor that may motivate caregivers' willingness to pay an additional amount for a paid version of a digital support service. In both countries, the majority of the respondents believe that the government should allocate more funds for digital support services and for improving digital infrastructures. Caregiver' s gender, care recipient relationship to the caregiver, care duration, the total household income and the amount spent per month on professional caregiving services are all associated with willingness to pay. For every additional 10 Euro increase in the amount spent per month on professional caregiving services, the odds of willingness to pay an additional Euro for a digital support service increased by 0.60 % in the Italian sample (p= 0.002, 95% CI: 1.002, 1.009) and 0.31% in the Swedish sample (p=0.015, 95% CI: 1.006, 1.057).

CONCLUSIONS

Factors such as demographics, socioeconomic resources and the caregiving context may play a role in caregivers' willingness to pay for digital support services. The digital and social divide may negatively affect caregivers' willingness to pay for digital support services. Policy makers and insurance providers should consider innovative policies to fund digital support services that have been shown to be effective at supporting and improving caregivers' health outcomes via subsidies or other incentives. Future research that evaluates the cost-effectiveness of digital support services is needed in a context of a growing number of informal caregivers and ever scarcer resources.

Digital technologies as sources of information for patients and caregivers during COVID-19 pandemic: A cross-sectional survey

Background

The emergence of the coronavirus disease 2019 (COVID-19) pandemic had a significant impact on the global economy, society, and healthcare systems. Little is known about the role of digital technologies as sources of information for patients and informal caregivers during COVID-19 pandemic. Considering the substantial information needs experienced by informal caregivers during the COVID-19 pandemic, further understanding of caregivers' use of digital technologies to access COVID-19 information is needed.

Objective

The aim of this study is to identify associations between informal caregiver's characteristics and the use of digital technologies to seek COVID-19 information in two countries with two different care systems: Italy (family based care system) and Sweden (universal care system) in order to determine whether factors such as demographics, socioeconomic resources, and the caregiving context may influence caregivers' use of these technologies during the pandemic.

Methods

A sample of 500 respondents participated in a cross-sectional survey by completing the online questionnaire. Respondents were recruited by the Italian National Institute of Health and Science on Ageing and the Swedish Family Care Competence Centre. Logistic regression model was used to investigate the association between the use of digital technologies to seek COVID-19 information and the independent variables.

Results

The multivariate analysis for the Italian sample indicated that female caregivers had two times the odds of use of digital technologies compared with males (p = 0.010, 95% CI 1.191 to 3.701). The odds of use were 2.3 times higher when the level of dependency of the care recipient on the caregiver is low compared with a high level of dependency (p = 0.029, 95% CI 1.090 to 4.858). In the Swedish group, respondents who spent less than 10 h per week providing care were almost three times more likely to use digital technologies as opposed to those who dedicate more than 40 h per week to care provision (p = 0.039, 95% CI 0.133 to 0.951). Caregivers in the age group 40-59 years were 2.7 times more likely to use digital technologies in comparison with those of the age group 60 +  years (p = 0.033, 95% CI 1.083 to 6.494). Perceiving a lack of awareness about available online resources that support caregivers in their role during the pandemic was the top challenge mentioned by the participants in both countries in using digital technologies to access information during the pandemic. The study revealed that the most used sources of online COVID-19 information for Italian caregivers were social media platforms and mobile apps, while in the case of the Swedish caregivers, online portals and apps published by state, regional, or municipal authorities were the most used sources. Italian participants in the study perceived less reliability in the online COVID-19 information than their Swedish counterparts.

Conclusions

Digital technologies are used by patients and their caregivers to seek information relevant to the pandemic. Because digital technologies are becoming a popular and accessible information source, medical professionals should consider the differences between caregivers' age groups when delivering information online. Strategies aiming to address the spread of misinformation on social media and online platforms are needed to fight infodemic. Governments should consider innovative policies that promote formal certification of online platforms and apps on the basis of their reliability. As digitalization of healthcare systems continues, efforts are needed to ensure different populations of patients and their caregivers are supported to obtain timely accurate information that meets their needs. An inclusive approach in the digitalization of healthcare systems may reduce inequalities in access to technology. Consequently, technology itself may over time become a tool in reducing such inequalities by empowering underserved or underrepresented populations.

Long-Distance Caregivers' Use Of Supportive Services

While long-distance caregiving has received increased attention as a unique care experience, prior research has not explored the supportive services used by long-distance caregivers (LDCs) and the factors that predict their supportive service utilization. Using the Andersen Model of Health Care Utilization, the current study sought to: 1) describe the types of supportive services LDCs used and the frequency of usage and 2) identify predisposing, enabling, and need-related factors associated with supportive service use in a sample of LDCs. Participants were recruited from aging services organizations, a national participant registry, professional networks, participant referrals, and an existing pool of research participants. The sample included 304 LDCs who reported on the use of nine supportive services and completed measures assessing depression, caregiver burden, self-rated health, sociodemographic characteristics, and the condition of the care recipient (CR). Fifty percent of LDCs reported no service use. Multiple hierarchical regression analyses demonstrated that younger age, higher caregiver burden, greater depressive symptoms, more time spent helping the CR, and worse CR functional status were significantly related to greater total supportive service use by LDCs. The current study contributes to our understanding of the factors associated with LDCs' supportive service utilization, highlighting the importance of need-related factors.

Predictors of digital support services use by informal caregivers: a cross-sectional comparative survey

OBJECTIVES

Digital support services may provide informal caregivers with remote access to information and training about care issues. However, there is limited specific data on how factors such as demographics, socioeconomic resources and the caregiving context may influence caregivers' use of digital support services. The aim of this study is to identify associations between informal caregiver's characteristics and the use of the internet to access digital support services in two countries: Italy and Sweden.

SETTING AND PARTICIPANTS

A sample of 663 respondents who have access to the internet participated in a cross-sectional survey by completing the online questionnaire. Respondents were recruited by the Italian National Institute of Health and Science on Ageing and the Swedish Family Care Competence Centre.

PRIMARY AND SECONDARY OUTCOME MEASURES

Logistic regression analyses were performed to assess predictors of caregivers' frequent use of the internet to access digital support services.

RESULTS

Educational attainment (OR 3.649, 95% CI 1.424 to 9.350, p=0.007), hours per week spent caring (OR 2.928, 95% CI 1.481 to 5.791, p=0.002), total household income (OR 0.378, 95% CI 0.149 to 0.957, p=0.040), care recipient relationship to the caregiver (OR 2.895, 95% CI 1.037 to 8.083, p=0.042) and gender of care recipient (OR 0.575, 95% CI 0.356 to 0.928, p=0.023) were significant predictors in the multivariate analysis for the Italian caregivers group. Hours per week spent caring (OR 2.401, 95% CI 1.105 to 5.218, p=0.027) and age of caregiver (OR 2.237, 95% CI 1.150 to 4.352, p=0.018) were significant predictors in the multivariate analysis for the Swedish caregivers group.

CONCLUSIONS

Digital support services could be important tools to empower informal caregivers. When it comes to policy and practice in relation to caregivers, similarly to other broad vulnerable groups, there is no 'one-size-fits-all' approach, and it is therefore important to consider the specific characteristics and needs of both caregivers and care recipients.

Predicting the burden of family caregivers from their individual characteristics

This study examined the association between caregivers' burdens and their individual characteristics and identified characteristics that are useful for predicting the level of caregiver burden. We successfully surveyed 387 family caregivers, having them complete the caregiver burden inventory scale (CBI) and an individual characteristic questionnaire. When we compared the average CBI scores between groups with a particular individual characteristic (including caring for older adult(s), educational level, employment status, place of birth, marital status, financial status, need for family support, need for friend support, and need for nonprofit organizational support), we found a significant difference in the average scores. From a logistic regression model, with burden level as the outcome, we found that caring for older adult(s), educational level, employment status, place of birth, financial situation, and need for nonprofit organizational support were significant predictors of the burden level of caregivers. The research findings suggest that certain individual characteristics can be adopted for identifying and quantifying caregivers who may have a higher level of burden. The findings are useful to uncover caregivers who may need prompt support and social care.