scholarly journals Use of Wearable Healthcare Devices by US adults: Patterns of Use and Key Predictors (Preprint)

2020 ◽  
Author(s):  
Ranganathan Chandrasekaran ◽  
Vipanchi Katthula ◽  
Evangelos Moustakas
Keyword(s):  
Self Efficacy ◽  
College Graduates ◽  
College Education ◽  
Wearable Devices ◽  
Health Data ◽  
Care Providers ◽  
Factors Affecting ◽  
Usage Patterns ◽  
Household Incomes ◽  
Personal Demographics

BACKGROUND Despite growing popularity of wearable healthcare devices, we have limited understanding about the actual use of these devices by US adults and the key factors affecting the use. OBJECTIVE To examine the use of wearable healthcare devices by US adults, and key predictors of wearables' use. We examine predictors related to an individual’s health, technology self-efficacy and personal demographics and their associations with the use of wearable health devices. METHODS Using a national survey of 4551 respondents, we examine the usage patterns of wearable healthcare devices (use of wearables, frequency of their use and willingness to share health data from wearable with a provider), and a set of predictors that pertain to personal demographics (age, gender, race, education, marital status and household income), individual's health (general health, presence of chronic conditions, weight perceptions and frequency of provider visits, attitude towards exercise), and technology self-efficacy using logistic regression. RESULTS About 30% US adults use wearable healthcare devices. Among the users, nearly half (47.33%) use the devices every day with a majority (82.38%) willing to share the health data from wearables with their care providers. Women (16.25%), Whites (19.74%), adults aged between 18-50 (19.52%), those with some level of college education or college graduates (25.6%), and annual household incomes above $75K (17.66%) were most likely to report using wearable healthcare devices. We found that use of wearables declines with age: adults aged over 50 are less likely to use wearables as compared to those who are aged between 18-34 (Odds ratio OR values between 0.46 to 0.57. Women (OR = 1.26; 95% CI 0.96 -1.65), Whites (OR = 1.65; 95% CI 0.97 - 2.79), college graduates (OR = 1.05; 95% CI 0.31-3.51), and those annual household incomes above $75K (OR = 2.6; 95% CI 1.39 - 4.86 ) are more likely to use wearables. US adults who felt healthier (OR = 1.17; 95% CI 0.98 - 1.39), overweight (OR = 1.16; 95% CI = 1.06-1.27), enjoyed exercise (OR = 1.23; 95% CI 1.06 - 1.43) and those with higher levels of technology self-efficacy (OR = 1.33; 95% CI 1.21 - 1.46) are more likely to adopt and use wearables for tracking or monitoring their health . CONCLUSIONS The potential of healthcare wearable devices is under realized with less than one-third of US adults actively using it. With only young, healthier, wealthier, educated, techno-literate adults using wearables, other groups have been left behind. More concentrated efforts by clinicians, device makers and healthcare policy makers are needed to bridge this divide and improve the use of wearable devices among larger sections of American society. CLINICALTRIAL

scholarly journals Too old for technology? Use of wearable healthcare devices by older adults and their willingness to share health data with providers

2021 ◽  
Vol 27 (4) ◽  
pp. 146045822110580
Author(s):  
Ranganathan Chandrasekaran ◽  
Vipanchi Katthula ◽  
Evangelos Moustakas
Keyword(s):  
Older Adults ◽  
Technology Use ◽  
Self Efficacy ◽  
Healthcare Providers ◽  
Well Being ◽  
Sociodemographic Factors ◽  
Wearable Devices ◽  
Health Data ◽  
Health Conditions ◽  
Annual Household Income

Wearable healthcare devices offer tremendous promise to effectively track and improve the well-being of older adults. Yet, little is known about the use of wearable devices by older adults. Drawing upon a national survey in US with 1481 older adults, we examine the use of wearable healthcare devices and the key predictors of use viz. sociodemographic factors, health conditions, and technology self-efficacy. We also examine if the predictors are associated with elders’ willingness to share health data from wearable devices with healthcare providers. We find low level of wearable use (17.49%) among US older adults. We find significant positive associations between technology self-efficacy, health conditions, and demographic factors (gender, race, education, and annual household income) and use of wearable devices. Men were less likely (OR = 0.62, 95% CI 0.36–1.04) and Asians were more likely (OR = 2.60, 95% CI 0.89–7.64) to use wearables, as did healthy adults (OR = 1.98, 95% CI 1.37–2.87). Those who electronically communicated with their doctors (OR = 1.86, 95% CI 1.16–2.97), and those who searched online for health information (OR = 1.79, 95% CI 1.03–3.10) were more likely to use wearables. Though 80.15% of wearable users are willing to share health data with providers, those with greater technology self-efficacy and favorable attitudes toward exercise are more willing.

A survey of Instagram users with asthma to evaluate the acceptability of a planned clinical trial intervention (Preprint)

2020 ◽  
Author(s):  
Kerry Spitzer ◽  
Brent Heineman ◽  
Marcella Jewell ◽  
Michael Moran ◽  
Peter Lindenauer
Keyword(s):  
United States ◽  
Social Media ◽  
Health Care Providers ◽  
College Education ◽  
The United States ◽  
Survey Study ◽  
Care Providers ◽  
Healthy Behaviors ◽  
Social Media Platforms ◽  
Hispanic White

BACKGROUND Asthma is a chronic lung disease that affects nearly 25 million individuals in the United States. There is a need for more research into the potential for health care providers to leverage existing social media platforms to improve healthy behaviors and support individuals living with chronic health conditions. OBJECTIVE In this study, we assess the willingness of Instagram users with poorly controlled asthma to participate in a pilot study that uses Instagram as a means of providing social and informational support. In addition, we explore the potential for adapting photovoice and digital storytelling to social media. METHODS A survey study of Instagram users living with asthma in the United States, between the ages of 18 to 40. RESULTS Over 3 weeks of recruitment, 457 individuals completed the pre-survey screener; 347 were excluded. Of the 110 people who were eligible and agreed to participate in the study, 82 completed the study survey. Respondents mean age was 21(SD = 5.3). Respondents were 56% female (n=46), 65% (n=53) non-Hispanic white, and 72% (n=59) had at least some college education. The majority of respondents (n = 66, 81%) indicated that they would be willing to participate in the study. CONCLUSIONS Among young-adult Instagram users with asthma there is substantial interest in participating in a study that uses Instagram to connect participants with peers and a health coach in order to share information about self-management of asthma and build social connection.

Addressing Mistreatment of Providers by Patients and Family Members as a Patient Safety Event

2021 ◽  
Author(s):  
Marianne Hatfield ◽  
Rebecca Ciaburri ◽  
Henna Shaikh ◽  
Kirsten M. Wilkins ◽  
Kurt Bjorkman ◽  
...  
Keyword(s):  
Patient Safety ◽  
Health Care Providers ◽  
Self Efficacy ◽  
Tertiary Care ◽  
Family Members ◽  
Incident Reporting ◽  
Care Providers ◽  
Cross Sectional ◽  
Offensive Behavior ◽  
Safety Incident

OBJECTIVE: Mistreatment of health care providers (HCPs) is associated with burnout and lower-quality patient care, but mistreatment by patients and family members is underreported. We hypothesized that an organizational strategy that includes training, safety incident reporting, and a response protocol would increase HCP knowledge, self-efficacy, and reporting of mistreatment. METHODS: In this single-center, serial, cross-sectional study, we sent an anonymous survey to HCPs before and after the intervention at a 213-bed tertiary care university children’s hospital between 2018 and 2019. We used multivariable logistic regression to examine the effect of training on the outcomes of interest and whether this association was moderated by staff role. RESULTS: We received 309 baseline surveys from 72 faculty, 191 nurses, and 46 residents, representing 39.1%, 27.1%, and 59.7%, respectively, of eligible HCPs. Verbal threats from patients or family members were reported by 214 (69.5%) HCPs. Offensive behavior was most commonly based on provider age (85, 28.5%), gender (85, 28.5%), ethnicity or race (55, 18.5%), and appearance (43, 14.6%) but varied by role. HCPs who received training had a higher odds of reporting knowledge, self-efficacy, and experiencing offensive behavior. Incident reporting of mistreatment increased threefold after the intervention. CONCLUSIONS: We report an effective organizational approach to address mistreatment of HCPs by patients and family members. Our approach capitalizes on existing patient safety culture and systems that can be adopted by other institutions to address all forms of mistreatment, including those committed by other HCPs.

Patients’ Perceptions of Integrated Care Among Medicare Beneficiaries by Level of Need for Health Services

2022 ◽  
pp. 107755872110678
Author(s):  
Nancy Song ◽  
Molly Frean ◽  
Christian T. Covington ◽  
Maike Tietschert ◽  
Emilia Ling ◽  
...  
Keyword(s):  
Integrated Care ◽  
Health Care Providers ◽  
Chronic Conditions ◽  
Health Management ◽  
Least Square ◽  
Sensitivity Analyses ◽  
Medicare Beneficiaries ◽  
Care Providers ◽  
Factors Affecting ◽  
Ordinary Least Square Regression

Requirements for integrating care across providers, settings, and over time increase with patients’ needs. Health care providers’ ability to offer care that patients experience as integrated may vary among patients with different levels of need. We explore the variation in patients’ perceptions of integrated care among Medicare beneficiaries based on the beneficiary’s level of need using ordinary least square regression for each of four high-need groups: beneficiaries (a) with complex chronic conditions, (b) with frailties, (c) below 65 with disability, and (d) with any (of the first three) high needs. We control for beneficiary demographics and other factors affecting integrated care, and we conduct sensitivity analyses controlling for multiple individual chronic conditions. We find significant positive associations with level of need for provider support for self-directed care and medication and home health management. Controlling for multiple individual chronic conditions reduces effect sizes and number of significant relationships.

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