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Physician Response Time When Communicating With Patients Over the Internet

Physician Response Time When Communicating With Patients Over the Internet

IntroductionWhile the majority of the European population are using the Internet for health purposes, only 1 in 10 Internet users communicate directly with their physician over the Internet.

Per Egil Kummervold, Jan-Are K Johnsen

J Med Internet Res 2011;13(4):e79


Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content

Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content

IntroductionAn increasing number of people use social media, such as Facebook and Twitter; these are becoming central as news outlets and are even creating headline news themselves, for example, when the US President tweets and stirs controversy [1].

Jan-Are K Johnsen, Trude B Eggesvik, Thea H Rørvik, Miriam W Hanssen, Rolf Wynn, Per Egil Kummervold

JMIR Public Health Surveill 2019;5(1):e10432


Using Noninferiority Tests to Evaluate Telemedicine and E-Health Services: Systematic Review

Using Noninferiority Tests to Evaluate Telemedicine and E-Health Services: Systematic Review

The only thing we are certain about is that our test was unable to prove any superiority.The easiest way to understand this is that by reducing the number of participants, we are much more likely to get an insignificant result.

Per Egil Kummervold, Jan-Are K Johnsen, Stein Olav Skrøvseth, Rolf Wynn

J Med Internet Res 2012;14(5):e132


The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study

The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study

Papers from Jan 2007 to Apr 2017 were selected. Papers with no abstracts or with fewer than 200 characters in abstracts were deleted. Journals containing fewer than 100 papers were also removed.

Xiaoyue Feng, Hao Zhang, Yijie Ren, Penghui Shang, Yi Zhu, Yanchun Liang, Renchu Guan, Dong Xu

J Med Internet Res 2019;21(5):e12957


Development of a Smartphone App for a Genetics Website: The Amyotrophic Lateral Sclerosis Online Genetics Database (ALSoD)

Development of a Smartphone App for a Genetics Website: The Amyotrophic Lateral Sclerosis Online Genetics Database (ALSoD)

      01/Nov/2012-31/Jan/20132132.3500:01:2976.5363.85 01/Aug/2012-31/Oct/2012294.9300:03:1265.5244.83 % Change634.48-52.30-53.6916.8042.43iOS      01/Nov/2012-31/Jan/20131054.5200:02:3182.8648.57 01/Aug/2012-31/Oct/2012404.5500:02:0687.5050.00 % Change162.50

Olubunmi Abel, Aleksey Shatunov, Ashley R Jones, Peter M Andersen, John F Powell, Ammar Al-Chalabi

JMIR Mhealth Uhealth 2013;1(2):e18


Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis

Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis

IntroductionPatient-facing systems are digital technologies that offer health services and engage people in their health and wellbeing [1].

Debaleena Chattopadhyay, Tengteng Ma, Hasti Sharifi, Pamela Martyn-Nemeth

J Med Internet Res 2020;22(7):e18839


The Korean eHealth Literacy Scale (K-eHEALS): Reliability and Validity Testing in Younger Adults Recruited Online

The Korean eHealth Literacy Scale (K-eHEALS): Reliability and Validity Testing in Younger Adults Recruited Online

However, the existing Korean versions of eHEALS (K-eHEALS) are limited in the number of items translated for use or have not been tested for their reliability and validity.Korea has advanced health information technology infrastructure including widespread

SeonYoon Chung, Bu Kyung Park, Eun-Shim Nahm

J Med Internet Res 2018;20(4):e138


Digital Asthma Self-Management Interventions: A Systematic Review

Digital Asthma Self-Management Interventions: A Systematic Review

However, these goals are not widely achieved; people with asthma often tolerate unnecessary symptoms, and management of the condition can often be suboptimal [1,3,4].

Deborah Morrison, Sally Wyke, Karolina Agur, Euan J Cameron, Robert I Docking, Alison M MacKenzie, Alex McConnachie, Vandana Raghuvir, Neil C Thomson, Frances S Mair

J Med Internet Res 2014;16(2):e51


Novel Indicator to Ascertain the Status and Trend of COVID-19 Spread: Modeling Study

Novel Indicator to Ascertain the Status and Trend of COVID-19 Spread: Modeling Study

It is defined by K(t) = 1 – N(t – 7)/N(t), where t is the number of days from a reference date and N(t) and N(t − 7) are the total number of cases on days t and (t − 7), respectively.

Takashi Nakano, Yoichi Ikeda

J Med Internet Res 2020;22(11):e20144