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Adherence of Internet-Based Cancer Risk Assessment Tools to Best Practices in Risk Communication: Content Analysis.

Erika A Waters, Jeremy L Foust, Laura D Scherer, Amy McQueen, Jennifer M Taber,

<h4>Background</h4>Internet-based risk assessment tools offer a potential avenue for people to learn about their cancer risk and adopt risk-reducing behaviors. However, little is known about whether internet-based risk assessment tools adhere to scientific evidence for what constitutes good risk communication strategies. Furthermore, their quality may vary from a user experience ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e23318]

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Impact of COVID-19 on Physical Activity Among 10,000 Steps Members and Engagement With the Program in Australia: Prospective Study.

Quyen G To, Mitch J Duncan, Anetta Van Itallie, Corneel Vandelanotte,

<h4>Background</h4>Physical activity is an important health behavior, due to its association with many physical and mental health conditions. During distressing events, such as the COVID-19 pandemic, there is a concern that physical activity levels may be negatively impacted. However, recent studies have shown inconsistent results. Additionally, there is a lack ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e23946]

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Data Quality and Cost-effectiveness Analyses of Electronic and Paper-Based Interviewer-Administered Public Health Surveys: Systematic Review.

Atinkut Alamirrew Zeleke, Tolga Naziyok, Fleur Fritz, Lara Christianson, Rainer Röhrig,

<h4>Background</h4>A population-level survey (PLS) is an essential and standard method used in public health research that supports the quantification of sociodemographic events, public health policy development, and intervention designs. Data collection mechanisms in PLS seem to be a significant determinant in avoiding mistakes. Using electronic devices such as smartphones and ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e21382]

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Expanding Telemonitoring in a Virtual World: A Case Study of the Expansion of a Heart Failure Telemonitoring Program During the COVID-19 Pandemic.

Sahr Wali, Milena Guessi Margarido, Amika Shah, Patrick Ware, Michael McDonald, Mary O'Sullivan, Juan Duero Posada, Heather Ross, Emily Seto,

<h4>Background</h4>To minimize the spread and risk of a COVID-19 outbreak, societal norms have been challenged with respect to how essential services are delivered. With pressures to reduce the number of in-person ambulatory visits, innovative models of telemonitoring have been used during the pandemic as a necessary alternative to support access ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e26165]

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Socioeconomic Disparities in Social Distancing During the COVID-19 Pandemic in the United States: Observational Study.

Romain Garnier, Jan R Benetka, John Kraemer, Shweta Bansal,

<h4>Background</h4>Eliminating disparities in the burden of COVID-19 requires equitable access to control measures across socio-economic groups. Limited research on socio-economic differences in mobility hampers our ability to understand whether inequalities in social distancing are occurring during the SARS-CoV-2 pandemic.<h4>Objective</h4>We aimed to assess how mobility patterns have varied across the United ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e24591]

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Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis.

Justin J Boutilier, Timothy C Y Chan, Manish Ranjan, Sarang Deo,

<h4>Background</h4>The impending scale up of noncommunicable disease screening programs in low- and middle-income countries coupled with limited health resources require that such programs be as accurate as possible at identifying patients at high risk.<h4>Objective</h4>The aim of this study was to develop machine learning-based risk stratification algorithms for diabetes and hypertension ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e20123]

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Patients' preferences for artificial intelligence (AI) Applications versus clinicians in disease diagnosis during SARS-CoV-2 pandemic in China: A discrete choice experiment.

Taoran Liu, Winghei Tsang, Fengqiu Huang, Oiying Lau, Yanhui Chen, Jie Sheng, Yiwei Guo, Babatunde Akinwunmi, Casper Jp Zhang, Wai-Kit Ming,

Misdiagnosis, arbitrary charges and annoying queues, and clinic waiting times among others are long-standing phenomena in the medical industry across the world, These factors can con-tribute to patient anxiety about misdiagnosis by clinicians. However, with the increasing use of big data growth in biomedical and healthcare communities, the performance of ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, :]

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COVID-19 Mobile Apps for Contact Tracing: A Review on Technology, Privacy and User Opinions.

Mahmoud Elkhodr, Omar Mubin, Zainab Iftikhar, Maleeha Masood, Belal Alsinglawi, Suleman Shahid, Fady Alnajjar,

Many countries across the globe have released their COVID-19 contact tracing application. This has resulted in the proliferation of several applications that used a variety of technologies. With the absence of a standardized approach used by the authorities, policymakers, and developers, many of these applications were unique. Therefore, they varied ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, :]

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Central Asia SARS-CoV-2 Surveillance: A Longitudinal Trend Analysis.

Lori Ann Post, Elana T Benishay, Charles B Moss, Robert Leo Murphy, Chad J Achenbach, Michael G Ison, Danielle Resnick, Lauren Nadya Singh, Janine White, Azraa S Chaudhury, Michael J Boctor, Sarah B Welch, James Francis Oehmke,

<h4>Background</h4>SARS-CoV-2, the virus that caused the COVID-19 global pandemic, has severely impacted Central Asia, resulting in a high caseload and deaths that varied by country in Spring 2020. The varying severity of the pandemic is explained by differences in prevention efforts in the form of public health policy, adherence to ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, :]

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Using Twitter to understand the COVID-19 experiences of people living with dementia.

Juanita Dawne Bacsu, Megan E O'Connell, Allison Cammer, Mahsa Azizi, Karl Grewal, Lisa Poole, Shoshana Green, Saskia Sivananthan, Raymond J Spiteri,

<h4>Background</h4>The COVID-19 pandemic is affecting people with dementia in numerous ways. Nevertheless, there is a paucity of research on the COVID-19 impact on people with dementia and their care partners.<h4>Objective</h4>Using Twitter, the purpose of this study was to understand the experiences of COVID-19 of people living with dementia and their ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, :]

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Suitability of Video Consultations During the COVID-19 Pandemic Lockdown: A Cross-Sectional Survey Among Norwegian GPs.

Tor Magne Johnsen, Børge Lønnebakke Norberg, Eli Kristiansen, Paolo Zanaboni, Bjarne Austad, Frode Helgetun Krogh, Linn Getz,

<h4>Background</h4>The COVID-19 pandemic imposed an acute, sharp rise in the use of video consultations (VCs) by general practitioners (GPs) in Norway.<h4>Objective</h4>This study aims to document GPs' experiences with the large-scale uptake of VCs in the natural experiment context of the pandemic.<h4>Methods</h4>A nationwide, cross-sectional online survey was conducted amongst Norwegian GPs ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, :]

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Efficacy of a Transdiagnostic Self-Help Internet Intervention for Reducing Depression, Anxiety, and Suicidal Ideation in Adults: Randomized Controlled Trial.

Philip J Batterham, Alison L Calear, Louise Farrer, Amelia Gulliver, Ella Kurz,

<h4>Background</h4>Low-intensity self-guided mental health interventions that are delivered on the web may meet the needs and preferences of adults with mild to moderate symptoms. However, few clinical trials have examined the effectiveness of self-guided transdiagnostic interventions within a naturalistic setting.<h4>Objective</h4>This randomized controlled trial (RCT) tests the effectiveness of the video-based ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e22698]

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Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review.

Florian Fischer, Sina Kleen,

<h4>Background</h4>The broad availability of smartphones and the number of health apps in app stores have risen in recent years. Health apps have benefits for individuals (eg, the ability to monitor one's health) as well as for researchers (eg, the ability to collect data in population-based, clinical, and observational studies). Although ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e17691]

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Adequacy of Web-Based Activities as a Substitute for In-Person Activities for Older Persons During the COVID-19 Pandemic: Survey Study.

Jiska Cohen-Mansfield, Aline Muff, Guy Meschiany, Shahar Lev-Ari,

<h4>Background</h4>Senior centers and other types of clubs provide activities for older adults to address boredom, social isolation, and loneliness. Due to the COVID-19 pandemic, most of these activities have been cancelled. A limited range of web-based activities have been offered as alternatives. However, the effectiveness of these web-based group activities ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e25848]

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Telehealth in the COVID-19 Era: A Balancing Act to Avoid Harm.

J Jeffery Reeves, John W Ayers, Christopher A Longhurst,

<h4>Unstructured</h4>The telehealth revolution in response to COVID-19 increased essential health care access during an unprecedented public health crisis. However, virtual patient care can also limit the patient-provider relationship, the quality of the examination, the efficiency of healthcare delivery, and the overall quality of care. Facing the most rapidly adopted medical ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, :]

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Correction: A Newly Developed Web-Based Resource on Genetic Eye Disorders for Users With Visual Impairment (Gene.Vision): Usability Study.

Jian Lee Yeong, Peter Thomas, James Buller, Mariya Moosajee,

[This corrects the article DOI: 10.2196/19151.]. ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e27330]

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Effects of Objective and Subjective Health Literacy on Patients' Accurate Judgment of Health Information and Decision-Making Ability: Survey Study.

Peter Johannes Schulz, Annalisa Pessina, Uwe Hartung, Serena Petrocchi,

<h4>Background</h4>Interpreting health information and acquiring health knowledge have become more important with the accumulation of scientific medical knowledge and ideals of patient autonomy. Health literacy and its tremendous success as a concept can be considered an admission that not all is well in the distribution of health knowledge. The internet ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e20457]

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Determining the Intellectual Structure and Academic Trends of Smart Home Health Care Research: Coword and Topic Analyses.

Hyo-Jin Kang, Jieun Han, Gyu Hyun Kwon,

<h4>Background</h4>With the rapid development of information and communication technologies, smart homes are being investigated as effective solutions for home health care. The increasing academic attention on smart home health care has primarily been on the development and application of smart home technologies. However, comprehensive studies examining the general landscape of ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e19625]

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Use of a Remote Oncology Pharmacy Service Platform for Patients With Cancer During the COVID-19 Pandemic: Implementation and User Acceptance Evaluation.

Zhuo-Jia Chen, Wei-Ting Liang, Qing Liu, Rong He, Qian-Chao Chen, Qiu-Feng Li, Yao Zhang, Xiao-Dong Du, Ying Pan, Shu Liu, Xiao-Yan Li, Xue Wei, He Huang, Hong-Bing Huang, Tao Liu,

<h4>Background</h4>The COVID-19 outbreak has increased challenges associated with health management, especially cancer management. In an effort to provide continuous pharmaceutical care to cancer patients, Sun Yat-sen University Cancer Center (SYSUCC) implemented a remote pharmacy service platform based on its already existing web-based hospital app known as Cloud SYSUCC.<h4>Objective</h4>The aim of ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e24619]

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Rumor Epidemic and Responses During the Period of COVID-19 Outbreak in China: an Infodemiology Study Based on the Chinese Rumor Refuting Platforms.

Bin Chen, Xinyi Chen, Jin Pan, Kui Liu, Bo Xie, Wei Wang, Ying Peng, Fei Wang, Na Li, Jianmin Jiang,

During the outbreak period of COVID-19, numerous rumors emerging on the Internet in China caused cognitive chaos among the public. However, these rumors' characteristics at different phases of the epidemic have not been studied in-depth and the official response to rumors have also not been evaluated systematically. To evaluate the ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, :]

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Social, Cognitive, and eHealth Mechanisms of COVID-19-Related Lockdown and Mandatory Quarantine That Potentially Affect the Mental Health of Pregnant Women in China: Cross-Sectional Survey Study.

Xue Yang, Bo Song, Anise Wu, Phoenix K H Mo, Jiangli Di, Qian Wang, Joseph T F Lau, Linhong Wang,

<h4>Background</h4>Although lockdown and mandatory quarantine measures have played crucial roles in the sharp decrease of the number of newly confirmed/suspected COVID-19 cases, concerns have been raised over the threat that these measures pose to mental health, especially the mental health of vulnerable groups, including pregnant women. Few empirical studies have ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e24495]

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SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis.

Lori Post, Emily Marogi, Charles B Moss, Robert Leo Murphy, Michael G Ison, Chad J Achenbach, Danielle Resnick, Lauren Singh, Janine White, Michael J Boctor, Sarah B Welch, James Francis Oehmke,

<h4>Background</h4>The COVID-19 pandemic has disrupted the lives of millions and forced countries to devise public health policies to reduce the pace of transmission. In the Middle East and North Africa (MENA), falling oil prices, disparities in wealth and public health infrastructure, and large refugee populations have significantly increased the disease ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e25830]

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One Digital Health: a unified framework for future health ecosystems.

Arriel Benis, Oscar Tamburis, Catherine Chronaki, Anne Moen,

<h4>Unstructured</h4>One Digital Health (ODH) is proposed as a unified structure. The One Digital Health "Steering Wheel" conceptual framework is built around two keys (One Health and Digital Health), three perspectives (Individual Health and well-being, Population and Society, and Ecosystem), and five dimensions (Citizen's engagement, Education, Environment, Human and Veterinary Healthcare, ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, :]

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Factors Affecting the Implementation, Use, and Adoption of Real-Time Location System Technology for Persons Living With Cognitive Disabilities in Long-term Care Homes: Systematic Review.

Alisa Grigorovich, Yalinie Kulandaivelu, Kristine Newman, Andria Bianchi, Shehroz S Khan, Andrea Iaboni, Josephine McMurray,

<h4>Background</h4>As the aging population continues to grow, the number of adults living with dementia or other cognitive disabilities in residential long-term care homes is expected to increase. Technologies such as real-time locating systems (RTLS) are being investigated for their potential to improve the health and safety of residents and the ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e22831]

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Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

Chathurangi H Pathiravasan, Yuankai Zhang, Ludovic Trinquart, Emelia J Benjamin, Belinda Borrelli, David D McManus, Vik Kheterpal, Honghuang Lin, Mayank Sardana, Michael M Hammond, Nicole L Spartano, Amy L Dunn, Eric Schramm, Christopher Nowak, Emily S Manders, Hongshan Liu, Jelena Kornej, Chunyu Liu, Joanne M Murabito,

<h4>Background</h4>eCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare the digital data to traditional data collection.<h4>Objective</h4>The aim of this study was ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2021, 23(1):e24773]

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