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Crisis Communication About the Maui Wildfires on TikTok: Content Analysis of Engagement With Maui Wildfire–Related Posts Over 1 Year

Crisis Communication About the Maui Wildfires on TikTok: Content Analysis of Engagement With Maui Wildfire–Related Posts Over 1 Year

The outcome variables for this study were likes and shares, which represent the primary engagement metrics for Tik Tok posts. Likes captured the number of times users expressed approval of a post, and shares indicated how often a post was redistributed by users to others on the platform. To address outliers in these engagement metrics, we applied a log transformation to both likes and shares.

Jim P Stimpson, Aditi Srivastava, Ketan Tamirisa, Joseph Keaweʻaimoku Kaholokula, Alexander N Ortega

JMIR Form Res 2025;9:e67515

Metrics for Evaluating Telemedicine in Randomized Controlled Trials: Scoping Review

Metrics for Evaluating Telemedicine in Randomized Controlled Trials: Scoping Review

To identify the metrics that should be used in future RCTs, it is essential to first understand the actual use of general metrics in past RCTs. In this study, we conducted a scoping review of articles comparing telemedicine with in-person care in RCTs and summarized the metrics used to understand their usefulness.

Yuka Sugawara, Yosuke Hirakawa, Masao Iwagami, Ryota Inokuchi, Rie Wakimizu, Masaomi Nangaku

J Med Internet Res 2025;27:e67929

Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis

Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis

In response to this need, we have developed enhanced surveillance metrics that capture the dynamic nature of a pandemic and provide insights into imminent growth. Crucially, these metrics indicate where a particular country stands on the epidemiological outbreak curve. In addition, we incorporate dynamic metrics that measure the pace of the pandemic at the province, territory, and national level.

Scott A Wu, Alan G Soetikno, Egon A Ozer, Sarah B Welch, Yingxuan Liu, Robert J Havey, Robert L Murphy, Claudia Hawkins, Maryann Mason, Lori A Post, Chad J Achenbach, Alexander L Lundberg

JMIR Public Health Surveill 2024;10:e53218

Consequences of Data Loss on Clinical Decision-Making in Continuous Glucose Monitoring: Retrospective Cohort Study

Consequences of Data Loss on Clinical Decision-Making in Continuous Glucose Monitoring: Retrospective Cohort Study

However, these studies have not investigated the impact of deviations from missing data in common CGM metrics on clinical decisions for individual patients [12,22,23]. Furthermore, previous research has determined that at least 14-15 days of CGM data provide a good estimation of CGM metrics compared to monitoring every 3 months or Hb A1c [21,24].

Niala den Braber, Carlijn I R Braem, Miriam M R Vollenbroek-Hutten, Hermie J Hermens, Thomas Urgert, Utku S Yavuz, Peter H Veltink, Gozewijn D Laverman

Interact J Med Res 2024;13:e50849

Controlling Inputter Variability in Vignette Studies Assessing Web-Based Symptom Checkers: Evaluation of Current Practice and Recommendations for Isolated Accuracy Metrics

Controlling Inputter Variability in Vignette Studies Assessing Web-Based Symptom Checkers: Evaluation of Current Practice and Recommendations for Isolated Accuracy Metrics

We investigated the following two isolated aspects: (1) SC data and algorithm quality using adjusted accuracy metrics and (2) SC symptom comprehension. The Royal College of General Practitioners in the United Kingdom produced 139 vignettes to evaluate an SC in a benchmarking study conducted by the Self-Care Academic Research Unit of Imperial College London [20].

András Meczner, Nathan Cohen, Aleem Qureshi, Maria Reza, Shailen Sutaria, Emily Blount, Zsolt Bagyura, Tamer Malak

JMIR Form Res 2024;8:e49907

Exploring the Impact of In Basket Metrics on the Adoption of a New Electronic Health Record System Among Specialists in a Tertiary Hospital in Alberta: Descriptive Study

Exploring the Impact of In Basket Metrics on the Adoption of a New Electronic Health Record System Among Specialists in a Tertiary Hospital in Alberta: Descriptive Study

In Basket metrics refer to performance indicators that assess the efficiency and effectiveness of managing tasks, web-based messages, or alerts within the EHR system. These metrics assess various aspects of workflow management and communication within the EHR environment.

Melita Avdagovska, Craig Kuziemsky, Helia Koosha, Maliheh Hadizadeh, Robert P Pauly, Timothy Graham, Tania Stafinski, David Bigam, Narmin Kassam, Devidas Menon

J Med Internet Res 2024;26:e53122

Standards, Processes, and Tools Used to Evaluate the Quality of Health Information Systems: Systematic Literature Review

Standards, Processes, and Tools Used to Evaluate the Quality of Health Information Systems: Systematic Literature Review

In addition, 35% (6/17) of the studies proposed metrics that allow for characterizing the standards. These metrics did not entirely represent a specific standard or certification, but rather they supported the evaluation of data control in telemedicine (study 2), the certification of EHRs (study 3), reliability in health-based mobile apps (studies 11, 15, and 17), and data management in medical platforms (study 16).

René Noël, Carla Taramasco, Gastón Márquez

J Med Internet Res 2022;24(3):e26577

Using Social Media as a Research Tool for a Bespoke Web-Based Platform for Stakeholders of Children With Congenital Anomalies: Development Study

Using Social Media as a Research Tool for a Bespoke Web-Based Platform for Stakeholders of Children With Congenital Anomalies: Development Study

The key quantitative outcome measures for the e-forum were metrics data for each of the public social media platforms, as detailed in Textbox 1. The response rates for research-related posts were calculated for the private and invisible Facebook groups. “Reach is the total number of people who see your content. Impressions are the number of times your content is displayed no matter if it was clicked or not” [19].

Marlene Sinclair, Julie E M McCullough, David Elliott, Paula Braz, Clara Cavero-Carbonell, Lesley Dornan, Anna Jamry-Dziurla, Ana João Santos, Anna Latos-Bieleńska, Ausenda Machado, Lucía Páramo-Rodríguez

JMIR Pediatr Parent 2021;4(4):e18483

Evaluating Scholars’ Impact and Influence: Cross-sectional Study of the Correlation Between a Novel Social Media–Based Score and an Author-Level Citation Metric

Evaluating Scholars’ Impact and Influence: Cross-sectional Study of the Correlation Between a Novel Social Media–Based Score and an Author-Level Citation Metric

For articles published in the Journal of Medical Internet Research, Eysenbach found relatively strong article-level correlations between these metrics (number of tweets, adjusted by time and journal factors) and future citations and highlighted the importance of using social media–based impact measures to complement traditional citation metrics [10].

Lucas Oliveira J e Silva, Graciela Maldonado, Tara Brigham, Aidan F Mullan, Audun Utengen, Daniel Cabrera

J Med Internet Res 2021;23(5):e28859