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Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study.
Mendez, Kyra Jennifer Waligora; Budhathoki, Chakra; Labrique, Alain Bernard; Sadak, Tatiana; Tanner, Elizabeth K; Han, Hae Ra.
  • Mendez KJW; School of Nursing, Johns Hopkins University, Baltimore, MD, United States.
  • Budhathoki C; School of Nursing, Johns Hopkins University, Baltimore, MD, United States.
  • Labrique AB; Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
  • Sadak T; School of Nursing, University of Washington, Seattle, WA, United States.
  • Tanner EK; School of Nursing, Johns Hopkins University, Baltimore, MD, United States.
  • Han HR; School of Nursing, Johns Hopkins University, Baltimore, MD, United States.
JMIR Mhealth Uhealth ; 9(8): e27926, 2021 08 31.
Article in English | MEDLINE | ID: covidwho-1379916
ABSTRACT

BACKGROUND:

In the United States, nearly 80% of family caregivers of people with dementia have at least one chronic condition. Dementia caregivers experience high stress and burden that adversely affect their health and self-management. mHealth apps can improve health and self-management among dementia caregivers with a chronic condition. However, mHealth app adoption by dementia caregivers is low, and reasons for this are not well understood.

OBJECTIVE:

The purpose of this study is to explore factors associated with dementia caregivers' intention to adopt mHealth apps for chronic disease self-management.

METHODS:

We conducted a cross-sectional, correlational study and recruited a convenience sample of dementia caregivers. We created a survey using validated instruments and collected data through computer-assisted telephone interviews and web-based surveys. Before the COVID-19 pandemic, we recruited dementia caregivers through community-based strategies, such as attending community events. After nationwide closures due to the pandemic, the team focused on web-based recruitment. Multiple logistic regression analyses were used to test the relationships between the independent and dependent variables.

RESULTS:

Our sample of 117 caregivers had an average age of 53 (SD 17.4) years, 16 (SD 3.3) years of education, and 4 (SD 2.5) chronic conditions. The caregivers were predominantly women (92/117, 78.6%) and minorities (63/117, 53.8%), experienced some to extreme income difficulties (64/117, 54.7%), and were the child or child-in-law (53/117, 45.3%) of the person with dementia. In logistic regression models adjusting for the control variables, caregiver burden (odds ratio [OR] 1.3, 95% CI 0.57-2.8; P=.57), time spent caregiving per week (OR 1.7, 95% CI 0.77-3.9; P=.18), and burden of chronic disease and treatment (OR 2.3, 95% CI 0.91-5.7; P=.08) were not significantly associated with the intention to adopt mHealth apps. In the final multiple logistic regression model, only perceived usefulness (OR 23, 95% CI 5.6-97; P<.001) and the interaction term for caregivers' education and burden of chronic disease and treatment (OR 31, 95% CI 2.2-430; P=.01) were significantly associated with their intention to adopt mHealth apps. Perceived ease of use (OR 2.4, 95% CI 0.67-8.7; P=.18) and social influence (OR 1.8, 95% CI 0.58-5.7; P=.31) were not significantly associated with the intention to adopt mHealth apps.

CONCLUSIONS:

When designing mHealth app interventions for dementia caregivers with a chronic condition, it is important to consider caregivers' perceptions about how well mHealth apps can help their self-management and which app features would be most useful for self-management. Caregiving factors may not be relevant to caregivers' intention to adopt mHealth apps. This is promising because mHealth strategies may overcome barriers to caregivers' self-management. Future research should investigate reasons why caregivers with a low education level and low burden of chronic disease and treatment have significantly lower intention to adopt mHealth apps for self-management.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Dementia / Mobile Applications / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Female / Humans / Middle aged Language: English Journal: JMIR Mhealth Uhealth Year: 2021 Document Type: Article Affiliation country: 27926

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Dementia / Mobile Applications / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Female / Humans / Middle aged Language: English Journal: JMIR Mhealth Uhealth Year: 2021 Document Type: Article Affiliation country: 27926