scholarly journals 4056 Dementia family caregivers’ mobile app use and intention to adopt mHealth apps

2020 ◽  
Vol 4 (s1) ◽  
pp. 54-55
Author(s):  
Kyra Jennifer Waligora Mendez ◽  
Hae Ra Han
Keyword(s):  
Social Media ◽  
Family Caregivers ◽  
Chronic Condition ◽  
Mobile Apps ◽  
Mobile App ◽  
Computer Assisted ◽  
Cross Sectional ◽  
Intention To Adopt ◽  
Health Related ◽  
Mhealth Apps

OBJECTIVES/GOALS: To describe preliminary results of Alzheimer’s and dementia caregivers’ (CGs) mobile app use and intention to adopt mHealth apps for their own chronic condition self-management. To discuss implications for designing and implementing mHealth interventions for CGs. METHODS/STUDY POPULATION: This study aims to recruit 110 racially and ethnically diverse family caregivers (CGs) who have a chronic condition, provide care for persons with Alzheimer’s disease or related dementias, and have access to a mobile device. This is a cross-sectional correlational study collecting data with computer-assisted telephone interviews stored through REDCap. The study survey was created using existing surveys about mobile app use; relevant, well-validated research instruments; and questions from the U.S. Census and other national surveys. CGs are being actively recruited from the Baltimore-Washington metropolitan area using various recruitment strategies that have been effective in prior studies. RESULTS/ANTICIPATED RESULTS: The majority of CGs used websites (86%), mobile devices (68%) or apps (53%) to manage their own health. CGs using health-related apps were tracking their exercise (60%), diet (60%), medical records (50%), and physical health measures (50%). More than 4 out of 5 (82%) predicted they would use mobile apps to self-manage their chronic condition, though only 68% actually planned to use them. 86% of CGs were using mobile apps for non-health related purposes, with the most popular app being weather (90%), followed by social media (74%), music/entertainment (68%), and banking/business apps (63%). CGs used weather and social media apps most often (2 or more times/day) and spent 9 hours/week on apps. DISCUSSION/SIGNIFICANCE OF IMPACT: Websites and mobile apps appear to be feasible modes to deliver health interventions to CGs. Researchers should consider including features of apps most frequently used by CGs, such as the weather, ways to connect with others, and music/entertainment, when delivering mHealth interventions to CGs.

scholarly journals Intention to Adopt mHealth Apps Among Informal Caregivers: Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Fereshteh Ghahramani ◽  
Jingguo Wang
Keyword(s):  
Mobile Apps ◽  
Informal Caregivers ◽  
Cross Sectional Study ◽  
Mobile App ◽  
Sectional Study ◽  
Cross Sectional ◽  
Policy Makers ◽  
Intention To Adopt ◽  
Potential Benefits ◽  
Amazon's Mechanical Turk

BACKGROUND Caregiving responsibility can change caregivers’ lives; modify their emotions; and make them feel frustrated, fearful, and nervous, thereby imposing physical and mental stress. Caregiving-related mobile apps provide a platform for obtaining valuable and trusted information, connecting more easily with other caregivers, monitoring medications, and managing appointments, and assessing health requirements and conditions of care receivers. Such apps also incorporate valuable resources that address care for the caregivers. Despite the potential benefits of caregiving-related apps, only a limited number of caregivers have adopted and used them. OBJECTIVE The aim of this study is to explore the important factors that affect caregivers’ intentions to integrate related mobile apps into their routine caregiving responsibilities. METHODS Using the protection motivation theory, we conducted a cross-sectional study among 249 participants. Purposive sampling was used to target participants who met 4 inclusion criteria: US residents, owning and using a smartphone, informal caregivers (individuals who give care to a friend or family member without payment) who provided at least 8 hours of care per week in the past year, and those currently not using any mobile app for caregiving purposes. We created a survey using Qualtrics and posted it on Amazon’s Mechanical Turk website. Participants received monetary compensation after successful completion of the survey. RESULTS We found that capabilities and skills of caregivers to use mobile apps, the app’s effectiveness in responding to the needs of caregivers, the degree of control of caregivers over their responsibilities, and the decisions they make for their care receivers can predict their willingness to adopt caregiving-related apps. In addition, the severity of health status and vulnerability of care receivers to unexpected health changes indirectly shape their caregivers’ decisions to adopt and use mobile apps for caregiving purposes. CONCLUSIONS This study explores the important factors that affect informal caregivers’ intentions to adopt related mobile apps into their routine caregiving responsibilities. The results contribute to both mobile health adoption and the caregiving literature, and they offer significant implications for developers, health care practitioners, and policy makers. CLINICALTRIAL

scholarly journals Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study (Preprint)

2021 ◽  
Author(s):  
Kyra Jennifer Waligora Mendez ◽  
Chakra Budhathoki ◽  
Alain Bernard Labrique ◽  
Tatiana Sadak ◽  
Elizabeth K Tanner ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Chronic Disease ◽  
Chronic Condition ◽  
Self Management ◽  
Dementia Caregivers ◽  
Cross Sectional ◽  
Web Based ◽  
Factors Associated ◽  
Intention To Adopt ◽  
Mhealth Apps

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; <i>P</i>=.57), time spent caregiving per week (OR 1.7, 95% CI 0.77-3.9; <i>P</i>=.18), and burden of chronic disease and treatment (OR 2.3, 95% CI 0.91-5.7; <i>P</i>=.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; <i>P</i>&lt;.001) and the interaction term for caregivers’ education and burden of chronic disease and treatment (OR 31, 95% CI 2.2-430; <i>P</i>=.01) were significantly associated with their intention to adopt mHealth apps. Perceived ease of use (OR 2.4, 95% CI 0.67-8.7; <i>P</i>=.18) and social influence (OR 1.8, 95% CI 0.58-5.7; <i>P</i>=.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. CLINICALTRIAL

scholarly journals Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps (Preprint)

2021 ◽  
Author(s):  
Nancy Lau ◽  
Alison O'Daffer ◽  
Joyce Yi-Frazier ◽  
Abby R Rosenberg
Keyword(s):  
Hybrid Model ◽  
Mobile Apps ◽  
Evidence Base ◽  
Mobile App ◽  
Essential Question ◽  
Health Related ◽  
Rapid Pace ◽  
Research Standards ◽  
State Of The Science ◽  
Mhealth Apps

UNSTRUCTURED Mobile health (mHealth) technologies have provided an innovative platform for the deployment of health care diagnostics, symptom monitoring, and prevention and intervention programs. Such health-related smartphone apps are universally accepted by patients and providers with over 50 million users worldwide. Despite the rise in popularity and accessibility among consumers, the evidence base in support of health-related apps has fallen well behind the rapid pace of industry development. To bridge this evidence gap, researchers are beginning to consider how to best apply evidence-based research standards to the systematic synthesis of the mHealth consumer market. In this viewpoint, we argue for the adoption of a “hybrid model” that combines a traditional systematic review with a systematic search of mobile app download platforms for health sciences researchers interested in synthesizing the state of the science of consumer apps. This approach, which we have successfully executed in a recent review, maximizes the benefits of traditional and novel approaches to address the essential question of whether popular consumer mHealth apps work.

scholarly journals Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study

10.2196/27926 ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. e27926
Author(s):  
Kyra Jennifer Waligora Mendez ◽  
Chakra Budhathoki ◽  
Alain Bernard Labrique ◽  
Tatiana Sadak ◽  
Elizabeth K Tanner ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Chronic Disease ◽  
Chronic Condition ◽  
Self Management ◽  
Dementia Caregivers ◽  
Cross Sectional ◽  
Web Based ◽  
Factors Associated ◽  
Intention To Adopt ◽  
Mhealth Apps

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.

scholarly journals Intention to Adopt mHealth Apps Among Informal Caregivers: Cross-Sectional Study

10.2196/24755 ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. e24755
Author(s):  
Fereshteh Ghahramani ◽  
Jingguo Wang
Keyword(s):  
Mobile Apps ◽  
Informal Caregivers ◽  
Cross Sectional Study ◽  
Mobile App ◽  
Sectional Study ◽  
Cross Sectional ◽  
Policy Makers ◽  
Intention To Adopt ◽  
Potential Benefits ◽  
Amazon's Mechanical Turk

Background Caregiving responsibility can change caregivers’ lives; modify their emotions; and make them feel frustrated, fearful, and nervous, thereby imposing physical and mental stress. Caregiving-related mobile apps provide a platform for obtaining valuable and trusted information, connecting more easily with other caregivers, monitoring medications, and managing appointments, and assessing health requirements and conditions of care receivers. Such apps also incorporate valuable resources that address care for the caregivers. Despite the potential benefits of caregiving-related apps, only a limited number of caregivers have adopted and used them. Objective The aim of this study is to explore the important factors that affect caregivers’ intentions to integrate related mobile apps into their routine caregiving responsibilities. Methods Using the protection motivation theory, we conducted a cross-sectional study among 249 participants. Purposive sampling was used to target participants who met 4 inclusion criteria: US residents, owning and using a smartphone, informal caregivers (individuals who give care to a friend or family member without payment) who provided at least 8 hours of care per week in the past year, and those currently not using any mobile app for caregiving purposes. We created a survey using Qualtrics and posted it on Amazon’s Mechanical Turk website. Participants received monetary compensation after successful completion of the survey. Results We found that capabilities and skills of caregivers to use mobile apps, the app’s effectiveness in responding to the needs of caregivers, the degree of control of caregivers over their responsibilities, and the decisions they make for their care receivers can predict their willingness to adopt caregiving-related apps. In addition, the severity of health status and vulnerability of care receivers to unexpected health changes indirectly shape their caregivers’ decisions to adopt and use mobile apps for caregiving purposes. Conclusions This study explores the important factors that affect informal caregivers’ intentions to adopt related mobile apps into their routine caregiving responsibilities. The results contribute to both mobile health adoption and the caregiving literature, and they offer significant implications for developers, health care practitioners, and policy makers.

scholarly journals Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps

10.2196/27105 ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. e27105
Author(s):  
Nancy Lau ◽  
Alison O'Daffer ◽  
Joyce Yi-Frazier ◽  
Abby R Rosenberg
Keyword(s):  
Hybrid Model ◽  
Mobile Apps ◽  
Evidence Base ◽  
Mobile App ◽  
Essential Question ◽  
Health Related ◽  
Rapid Pace ◽  
Research Standards ◽  
State Of The Science ◽  
Mhealth Apps

Mobile health (mHealth) technologies have provided an innovative platform for the deployment of health care diagnostics, symptom monitoring, and prevention and intervention programs. Such health-related smartphone apps are universally accepted by patients and providers with over 50 million users worldwide. Despite the rise in popularity and accessibility among consumers, the evidence base in support of health-related apps has fallen well behind the rapid pace of industry development. To bridge this evidence gap, researchers are beginning to consider how to best apply evidence-based research standards to the systematic synthesis of the mHealth consumer market. In this viewpoint, we argue for the adoption of a “hybrid model” that combines a traditional systematic review with a systematic search of mobile app download platforms for health sciences researchers interested in synthesizing the state of the science of consumer apps. This approach, which we have successfully executed in a recent review, maximizes the benefits of traditional and novel approaches to address the essential question of whether popular consumer mHealth apps work.

Prevalence and Correlates of US Adult Public Opinion on Restricting Junk Food Advertising to Children on Social Media: 2020 Health Information National Trends Survey

2021 ◽  
pp. 1-13
Author(s):  
Ariella R. Korn ◽  
Kelly D. Blake ◽  
Heather D’Angelo ◽  
Jill Reedy ◽  
April Oh
Keyword(s):  
Social Media ◽  
Health Information ◽  
Normal Weight ◽  
Food Advertising ◽  
Junk Food ◽  
Cross Sectional ◽  
Health Related ◽  
Advertising To Children ◽  
National Trends ◽  
Advertising Restrictions

Abstract Objective: To describe US adults’ levels of support, neutrality, and opposition to restricting junk food advertising to children on social media and explore associations with sociodemographic and health-related characteristics. Design: In 2020-2021, we used cross-sectional data from the National Cancer Institute’s 2020 Health Information National Trends Survey to estimate the prevalence of opinions toward advertising restrictions, and correlates of neutrality and opposition using weighted multivariable logistic regression. Setting: United States. Participants: Adults aged 18+ years. Results: Among the analytic sample (n=2852), 54% of adults were neutral or opposed to junk food advertising restrictions on social media. The odds of being neutral or opposed were higher among Non-Hispanic Black adults (vs non-Hispanic White; OR: 2.03 (95% CI: 1.26, 3.26)); those completing some college (OR: 1.68 (95% CI: 1.20, 2.34)) or high school or less (OR: 2.62 (95% CI: 1.74, 3.96)) (vs those with a college degree); those who were overweight (vs normal weight; OR: 1.42 (95% CI: 1.05, 1.93)); and those reporting a moderate (OR: 1.45 (95% CI: 1.13, 1.88)) or conservative (OR: 1.71 (95% CI: 1.24, 2.35)) political viewpoint (vs liberal). Having strong (vs weaker) weight and diet-related cancer beliefs was associated with 53% lower odds of being neutral or opposed to advertising restrictions (OR: 0.47 (95% CI: 0.36, 0.61)). Conclusions: This study identified subgroups of US adults for whom targeted communication strategies may increase support for policies to improve children’s food environment.

Engagement with Social Media Platforms via Mobile Apps for Improving Quality of Personal Health Management

2014 ◽  
Vol 16 (1) ◽  
pp. 73-89 ◽  
Author(s):  
Sinjini Mitra ◽  
Rema Padman
Keyword(s):  
Social Media ◽  
Health Plan ◽  
Health Management ◽  
Mobile Apps ◽  
Blood Pressure Level ◽  
Health Condition ◽  
Health Plans ◽  
Health And Wellness ◽  
Health Related ◽  
Social Media Platforms

Patient engagement in self health and wellness management has been identified as an important goal in improving health outcomes. As a result, the use of mobile and social media for health and wellness promotion is gathering considerable momentum. Several early adopting health plans and provider organizations have begun to design and pilot social and mobile media platforms to empower members to enhance self management of health and wellness goals. Based on a member survey of a large health plan in Pennsylvania, the authors identify factors that are significantly associated with member interest in adopting such technology platforms for obtaining health related information and services. Analysis of relevant data from more than 4,000 responses from health plan members indicate significant effects of several factors such as age, gender, general health condition (including presence of chronic conditions like diabetes and high blood pressure), level of computer and social media usage and frequency of engaging in different online activities such as banking, shopping, and emailing. This analysis allows us to identify important consumer segments that are correlated with professed willingness to use applications and programs offered by the health plan. Besides, the authors also develop statistical models to predict people's odds of adopting health-related mobile apps and identify the significant predictors thereof. The authors anticipate that these insights can assist health plans to develop and deploy targeted services and tools through integration of mobile and social media platforms for health and wellness management.

scholarly journals Ethnicity matters in perceived impacts and information sources of COVID-19 among mothers with young children in Australia: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e050557
Author(s):  
Li Ming Wen ◽  
Huilan Xu ◽  
Danielle Jawad ◽  
Limin Buchanan ◽  
Chris Rissel ◽  
...  
Keyword(s):  
Social Media ◽  
Young Children ◽  
Health Professionals ◽  
Information Sources ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Face To Face ◽  
Related Information ◽  
Health Related ◽  
English Speaking

ObjectivesThis study aimed to investigate perceived impacts, ways of communication with professionals and information sources related to COVID-19, and explore whether these impacts or information sources were associated with ethnicity that is, language spoken at home.DesignA cross-sectional study.SettingSydney, Australia during the period from March to October 2020.ParticipantsMothers of young children participating in an existing trial.Outcome measuresMothers were asked to respond to a set of survey questions related to COVID-19 via telephone. The questions included a mental health scale, and how they communicated with health professionals and their information sources related to COVID-19 during the COVID-19 pandemic.ResultsOf 537 mothers who completed the survey (81% response rate), 45% reported they spoke a language other than English at home. Overall, 136 (26%) reported experiencing mental distress. 234 (44%) reported that COVID-19 affected the way they receive and communicate health-related information with health professionals, especially for those from non-English speaking backgrounds with an adjusted odds ratio (AOR) 1.58 (95% CI 1.10 to 2.27). They were less likely to use a face-to-face service (AOR 0.55, 95% CI 0.37 to 0.80) and more likely to use social media (AOR 2.11, 95% CI 1.40 to 3.17) for health-related information. Regarding sources of COVID-19-related information, mothers from non-English-speaking backgrounds were more likely to rely on family members (AOR 1.49, 95% CI 1.01 to 2.19) and social media (AOR 3.34, 95% CI 2.05 to 5.43).ConclusionsCOVID-19 has significantly impacted mothers with young children in regard to their mental health, means of communication with health professionals and sources of health information. Mothers from non-English-speaking communities were less likely to use a face-to-face service, and more likely to seek information from family members and social media. Appropriate health support for non-English-speaking community needs to take these factors into account.Trial registration numberANZCTR:12618001571268.they

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