Correlates of Willingness to Share Data from Wearable Health and Activity Trackers: Analysis of 2019 Health Information National Trends Survey Data (Preprint)

2021 ◽  
Author(s):  
Camella J. Rising ◽  
Anna Gaysynsky ◽  
Kelly D. Blake ◽  
Roxanne E. Jensen ◽  
April Oh
Keyword(s):  
Physical Activity ◽  
Health Care ◽  
Health Behaviors ◽  
Health Information ◽  
Health Care Providers ◽  
Digital Health ◽  
Care Providers ◽  
Activity Trackers ◽  
Share Data ◽  
National Trends

BACKGROUND Sharing data from wearable health and activity trackers with others (e.g., health care providers, family, friends) may improve health and behavioral outcomes of wearable users by generating social support and supporting health self-management competency. Investigating individual factors that influence US adults’ willingness to share wearable data with different types of individuals may provide insights about population subgroups most or least likely to benefit from wearable interventions. Specifically, identifying digital health behaviors potentially associated with willingness to share wearable data is needed given that use and engagement with various technologies may broadly influence online health information-sharing behaviors. OBJECTIVE To identify sociodemographic, health, and digital health behavior correlates of US adults’ willingness to share wearable data with health care providers and with family or friends. METHODS Data for the analytic sample (N=1300) were obtained from the National Cancer Institute’s 2019 Health Information National Trends Survey. Digital health behavior measures included frequency of wearable use, use of smartphones or tablets to help communicate with providers, use of social networking sites to share health information, and participating in an online health community. Multivariable logistic regression analysis of weighted data examined associations between digital health behaviors and willingness to share wearable data, controlling for sociodemographics and health-related characteristics. RESULTS A majority of US adults were willing to share wearable data with providers (81.86%) and with family or friends (69.51%). Those who reported higher health self-efficacy (odds ratio [OR] 1.97, 95% CI 1.11, 3.51), higher level of trust in providers as a source of health information (OR 1.98, 95% CI 1.12, 3.49), and higher level of physical activity (OR 2.00, 95% CI 1.21, 3.31) had greater odds of reported willingness to share data with providers. Additionally, those with higher frequency of wearable use (OR 2.15, 95% CI 1.35, 3.43) and reported use of smartphones or tablets to help communicate with providers (OR 1.99, 95% CI 1.09, 3.63) had greater odds of reported willingness to share with providers. Only higher level of physical activity was associated with greater odds of reported willingness to share wearable data with family or friends (OR 1.70, 95% CI 1.02, 2.84). CONCLUSIONS Findings of this study suggest that, among US adult wearable users, behavior-related factors, rather than sociodemographic characteristics, are key drivers of willingness to share health information from wearables with others. Moreover, behavioral correlates of willingness to share wearable data are unique to the type of recipient (i.e., providers vs. family or friends). Future studies could use these findings to inform development of interventions that aim to improve use of patient-generated data from wearable devices in health care settings, in particular.

Digital Health Engagement in the US Population: Insights From the 2018 Health Information National Trends Survey

2021 ◽  
pp. e1-e4
Author(s):  
Chelsea L. Ratcliff ◽  
Melinda Krakow ◽  
Alexandra Greenberg-Worisek ◽  
Bradford W. Hesse
Keyword(s):  
Public Health ◽  
Health Information ◽  
Health Care Providers ◽  
Digital Health ◽  
Smart Device ◽  
P Value ◽  
Care Providers ◽  
Cross Sectional ◽  
The Us ◽  
National Trends

Objectives. To examine prevalence and predictors of digital health engagement among the US population. Methods. We analyzed nationally representative cross-sectional data on 7 digital health engagement behaviors, as well as demographic and socioeconomic predictors, from the Health Information National Trends Survey (HINTS 5, cycle 2, collected in 2018; n = 2698–3504). We fitted multivariable logistic regression models using weighted survey responses to generate population estimates. Results. Digitally seeking health information (70.14%) was relatively common, whereas using health apps (39.53%) and using a digital device to track health metrics (35.37%) or health goal progress (38.99%) were less common. Digitally communicating with one’s health care providers (35.58%) was moderate, whereas sharing health data with providers (17.20%) and sharing health information on social media (14.02%) were uncommon. Being female, younger than 65 years, a college graduate, and a smart device owner positively predicted several digital health engagement behaviors (odds ratio range = 0.09–4.21; P value range < .001–.03). Conclusions. Many public health goals depend on a digitally engaged populace. These data highlight potential barriers to 7 key digital engagement behaviors that could be targeted for intervention. (Am J Public Health. Published online ahead of print May 20, 2021: e1–e4. https://doi.org/10.2105/AJPH.2021.306282 )

scholarly journals Implementing and Utilizing the Personal Health Library (PHL) to Enable True Care Integration and Management (Preprint)

2020 ◽  
Author(s):  
Nariman Ammar ◽  
James E Bailey ◽  
Robert L Davis ◽  
Arash Shaban-Nejad
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Linked Data ◽  
Digital Health ◽  
Single Point ◽  
Personal Health ◽  
Care Providers ◽  
Care Integration ◽  
Modern Development

BACKGROUND Traditionally, health data management has been EMR-based and mostly handled by health care providers. Mechanisms are needed to give patients more control over their health conditions. Personal Health Libraries (PHLs) provide a single point of secure access to patients' digital health information that can help empower patients to make better-informed decisions about their health. OBJECTIVE This article reports our efforts on leveraging tools and methods from artificial intelligence and knowledge representation to construct a private, decentralized PHL that supports interoperability and, ultimately, true care integration. Also, it describes the technological infrastructures required to build Hybrid Recommendation Systems that query the PHL to deliver tailored push notification interventions focused on improving self-care behaviors in diabetic and cancer adults from underserved communities. METHODS For the construction and management of the PHL, we leverage several technological infrastructures, including the Social Linked Data (Solid) platform, which builds on the W3C protocol standard and vocabularies as well as the Linked Open Data Stack. Solid enriches the Linked Data stack with modern development tools including JavaScript-based frameworks (e.g., React), which makes both integration tasks using APIs and building Solid enabled applications a seamless experience. RESULTS To showcase the framework functionalities we present a prototype design and demonstrate the main features through two use case scenarios motivated both by requirements identified in the literature and by recommendations from Physicians from both Hematology and Preventive medicine fields at two children’s hospitals in Memphis, TN. CONCLUSIONS The proposed platform incorporates social determinants of health (SDoH) and ODLs in addition to digital health information to provide insights for informing both therapeutic and preventive interventions in chronic disease management. The PHL helps patients and their caregivers take a central role in making decisions regarding their health and equips health care providers with informatics tools to support the collection and interpretation of the collected knowledge

scholarly journals Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey

10.2196/24767 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e24767
Author(s):  
Safa Elkefi ◽  
Zhongyuan Yu ◽  
Onur Asan
Keyword(s):  
Health Care ◽  
Health Information ◽  
Medical Record ◽  
Health Care Providers ◽  
Medical Records ◽  
Health Care Disparities ◽  
Care Providers ◽  
Chi Square ◽  
National Trends ◽  
Privacy Issues

Background Online medical records are being used to organize processes in clinical and outpatient settings and to forge doctor-patient communication techniques that build mutual understanding and trust. Objective We aimed to understand the reasons why patients tend to avoid using online medical records and to compare the perceptions that patients have of online medical records based on demographics and cancer diagnosis. Methods We used data from the Health Information National Trends Survey Cycle 3, a nationally representative survey, and assessed outcomes using descriptive statistics and chi-square tests. The patients (N=4328) included in the analysis had experienced an outpatient visit within the previous 12 months and had answered the online behavior question regarding their use of online medical records. Results Patients who were nonusers of online medical records consisted of 58.36% of the sample (2526/4328). The highest nonuser rates were for patients who were Hispanic (460/683, 67.35%), patients who were non-Hispanic Black (434/653, 66.46%), and patients who were older than 65 years (968/1520, 63.6%). Patients older than 65 years were less likely to use online medical records (odds ratio [OR] 1.51, 95% CI 1.24-1.84, P<.001). Patients who were White were more likely to use online medical records than patients who were Black (OR 1.71, 95% CI 1.43-2.05, P<.001) or Hispanic (OR 1.65, 95% CI 1.37-1.98, P<.001). Patients who were diagnosed with cancer were more likely to use online medical records compared to patients with no cancer (OR 1.31, 95% CI 1.11-1.55, 95% CI 1.11-1.55, P=.001). Among nonusers, older patients (≥65 years old) preferred speaking directly to their health care providers (OR 1.76, 95% CI 1.35-2.31, P<.001), were more concerned about privacy issues caused by online medical records (OR 1.79, 95% CI 1.22-2.66, P<.001), and felt uncomfortable using the online medical record systems (OR 10.55, 95% CI 6.06-19.89, P<.001) compared to those aged 18-34 years. Patients who were Black or Hispanic were more concerned about privacy issues (OR 1.42, 1.09-1.84, P=.007). Conclusions Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics.

scholarly journals Growth Dynamics of Patient-Provider Internet Communication: Trend Analysis Using the Health Information National Trends Survey (2003 to 2013) (Preprint)

2017 ◽  
Author(s):  
Will L Tarver ◽  
Terri Menser ◽  
Bradford W Hesse ◽  
Tyler J Johnson ◽  
Ellen Beckjord ◽  
...  
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Provider Communication ◽  
Care Providers ◽  
Internet Users ◽  
Patient Provider Communication ◽  
Trends Over Time ◽  
National Trends ◽  
Over Time

BACKGROUND Communication is key in chronic disease management, and the internet has altered the manner in which patients and providers can exchange information. Adoption of secure messaging differs among patients due to the digital divide that keeps some populations from having effective access to online resources. OBJECTIVE This study aimed to examine the current state of online patient-provider communication, exploring trends over time in the use of online patient-provider communication tools. METHODS A 3-part analytic process was used to study the following: (1) reanalysis, (2) close replication across years, and (3) trend analysis extension. During the reanalysis stage, the publicly available Health Information National Trends Survey (HINTS) 1 and 2 data were used with the goal of identifying the precise analytic methodology used in a prior study, published in 2007. The original analysis was extended to add 3 additional data years (ie, 2008, 2011, and 2013) using the original analytical approach with the purpose of identifying trends over time. Multivariate logistic regression was used to analyze pooled data across all years, with year as an added predictor, in addition to a model for each individual data year. RESULTS The odds of internet users to communicate online with health care providers was significantly and increasingly higher year-over-year, starting in 2003 (2005: odds ratio [OR] 1.31, 95% CI 1.03-1.68; 2008: OR 2.14, 95% CI 1.76-2.59; 2011: OR 2.92, 95% CI 2.33-3.66; and 2013: OR 5.77; 95% CI 4.62-7.20). Statistically significant socio-economic factors found to be associated with internet users communicating online with providers included age, having health insurance, having a history of cancer, and living in an urban area of residence. CONCLUSIONS The proportion of internet users communicating online with their health care providers has significantly increased since 2003. Although these trends are encouraging, access challenges still exist for some groups, potentially giving rise to a new set of health disparities related to communication.

scholarly journals Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey (Preprint)

2020 ◽  
Author(s):  
Safa Elkefi ◽  
Zhongyuan Yu ◽  
Onur Asan
Keyword(s):  
Health Care ◽  
Health Information ◽  
Medical Record ◽  
Health Care Providers ◽  
Medical Records ◽  
Health Care Disparities ◽  
Care Providers ◽  
Chi Square ◽  
National Trends ◽  
Privacy Issues

BACKGROUND Online medical records are being used to organize processes in clinical and outpatient settings and to forge doctor-patient communication techniques that build mutual understanding and trust. OBJECTIVE We aimed to understand the reasons why patients tend to avoid using online medical records and to compare the perceptions that patients have of online medical records based on demographics and cancer diagnosis. METHODS We used data from the Health Information National Trends Survey Cycle 3, a nationally representative survey, and assessed outcomes using descriptive statistics and chi-square tests. The patients (N=4328) included in the analysis had experienced an outpatient visit within the previous 12 months and had answered the online behavior question regarding their use of online medical records. RESULTS Patients who were nonusers of online medical records consisted of 58.36% of the sample (2526/4328). The highest nonuser rates were for patients who were Hispanic (460/683, 67.35%), patients who were non-Hispanic Black (434/653, 66.46%), and patients who were older than 65 years (968/1520, 63.6%). Patients older than 65 years were less likely to use online medical records (odds ratio [OR] 1.51, 95% CI 1.24-1.84, <i>P</i>&lt;.001). Patients who were White were more likely to use online medical records than patients who were Black (OR 1.71, 95% CI 1.43-2.05, <i>P</i>&lt;.001) or Hispanic (OR 1.65, 95% CI 1.37-1.98, <i>P</i>&lt;.001). Patients who were diagnosed with cancer were more likely to use online medical records compared to patients with no cancer (OR 1.31, 95% CI 1.11-1.55, 95% CI 1.11-1.55, <i>P</i>=.001). Among nonusers, older patients (≥65 years old) preferred speaking directly to their health care providers (OR 1.76, 95% CI 1.35-2.31, <i>P</i>&lt;.001), were more concerned about privacy issues caused by online medical records (OR 1.79, 95% CI 1.22-2.66, <i>P</i>&lt;.001), and felt uncomfortable using the online medical record systems (OR 10.55, 95% CI 6.06-19.89, <i>P</i>&lt;.001) compared to those aged 18-34 years. Patients who were Black or Hispanic were more concerned about privacy issues (OR 1.42, 1.09-1.84, <i>P</i>=.007). CONCLUSIONS Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics. CLINICALTRIAL

Patients' Perceptions of Different Information Exchange Mechanisms: An Exploratory Study in the United States

2020 ◽  
Vol 59 (04/05) ◽  
pp. 162-178
Author(s):  
Pouyan Esmaeilzadeh
Keyword(s):  
United States ◽  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Information Exchange ◽  
The United States ◽  
Exchange Mechanism ◽  
Care Providers ◽  
Security Risks ◽  
Direct Exchange

Abstract Background Patients may seek health care services from various providers during treatment. These providers could serve in a network (affiliated) or practice separately (unaffiliated). Thus, using secure and reliable health information exchange (HIE) mechanisms would be critical to transfer sensitive personal health information (PHI) across distances. Studying patients' perceptions and opinions about exchange mechanisms could help health care providers build more complete HIEs' databases and develop robust privacy policies, consent processes, and patient education programs. Objectives Due to the exploratory nature of this study, we aim to shed more light on public perspectives (benefits, concerns, and risks) associated with the four data exchange practices in the health care sector. Methods In this study, we compared public perceptions and expectations regarding four common types of exchange mechanisms used in the United States (i.e., traditional, direct, query-based, patient-mediated exchange mechanisms). Traditional is an exchange through fax, paper mailing, or phone calls, direct is a provider-to-provider exchange, query-based is sharing patient data with a central repository, and patient-mediated is an exchange mechanism in which patients can access data and monitor sharing. Data were collected from 1,624 subjects using an online survey to examine the benefits, risks, and concerns associated with the four exchange mechanisms from patients' perspectives. Results Findings indicate that several concerns and risks such as privacy concerns, security risks, trust issues, and psychological risks are raised. Besides, multiple benefits such as access to complete information, communication improvement, timely and convenient information sharing, cost-saving, and medical error reduction are highlighted by respondents. Through consideration of all risks and benefits associated with the four exchange mechanisms, the direct HIE mechanism was selected by respondents as the most preferred mechanism of information exchange among providers. More than half of the respondents (56.18%) stated that overall they favored direct exchange over the other mechanisms. 42.70% of respondents expected to be more likely to share their PHI with health care providers who implemented and utilized a direct exchange mechanism. 43.26% of respondents believed that they would support health care providers to leverage a direct HIE mechanism for sharing their PHI with other providers. The results exhibit that individuals expect greater benefits and fewer adverse effects from direct HIE among health care providers. Overall, the general public sentiment is more in favor of direct data transfer. Our results highlight that greater public trust in exchange mechanisms is required, and information privacy and security risks must be addressed before the widespread implementation of such mechanisms. Conclusion This exploratory study's findings could be interesting for health care providers and HIE policymakers to analyze how consumers perceive the current exchange mechanisms, what concerns should be addressed, and how the exchange mechanisms could be modified to meet consumers' needs.

scholarly journals The Issue of Aversion in Lifestyle Treatments

2016 ◽  
Vol 11 (2) ◽  
pp. 119-121 ◽  
Author(s):  
Katherine R. Arlinghaus ◽  
John P. Foreyt ◽  
Craig A. Johnston
Keyword(s):  
Physical Activity ◽  
Health Care ◽  
Health Care Providers ◽  
Bone Health ◽  
Self Efficacy ◽  
Vigorous Physical Activity ◽  
Care Providers ◽  
Behavior Adjustment

Increasing evidence suggests that vigorous physical activity (PA) is more beneficial than moderate PA for reducing adiposity and improving bone health in youth. However, beginning a vigorous PA program is not an easy behavior adjustment and the change is likely to be aversive for some individuals. In order to benefit from vigorous PA, health care providers need to help individuals increase self-efficacy.

scholarly journals Development and Evaluation of a New Security and Privacy Track in a Health Informatics Graduate Program: Multidisciplinary Collaboration in Education (Preprint)

2017 ◽  
Author(s):  
Leming Zhou ◽  
Bambang Parmanto ◽  
James Joshi
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Health Informatics ◽  
Graduate Program ◽  
New Technologies ◽  
Security And Privacy ◽  
Care Providers ◽  
Widespread Application ◽  
Mobile Health Apps

BACKGROUND The widespread application of technologies such as electronic health record systems, mobile health apps, and telemedicine platforms, has made it easy for health care providers to collect relevant data and deliver health care regimens. While efficacious, these new technologies also pose serious security and privacy challenges. OBJECTIVE The training program described here aims at preparing well-informed health information security and privacy professionals with enhanced course materials and various approaches. METHODS A new educational track has been built within a health informatics graduate program. Several existing graduate courses have been enhanced with new security and privacy modules. New labs and seminars have been created, and students are being encouraged to participate in research projects and obtain real-world experience from industry partners. Students in this track receive both theoretical education and hands-on practice. Evaluations have been performed on this new track by conducting multiple surveys on a sample of students. RESULTS We have succeeded in creating a new security track and developing a pertinent curriculum. The newly created security materials have been implemented in multiple courses. Our evaluation indicated that students (N=72) believed that receiving security and privacy training was important for health professionals, the provided security contents were interesting, and having the enhanced security and privacy training in this program was beneficial for their future career. CONCLUSIONS The security and privacy education for health information professionals in this new security track has been significantly enhanced.

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