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Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method

Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method

An endometriosis-specific patient-reported outcome measure (PROM) that uses the experience sampling method (ESM) has recently been developed at the Maastricht University Medical Center+ (MUMC+) [13]. This instrument provides a detailed insight into symptom patterns and helps in personalizing treatment strategies and, consequently, can aid in making meaningful changes to women’s lives.

Esther van Barneveld, Arianne Lim, Nehalennia van Hanegem, Frits van Osch, Lisa Vork, Joanna Kruimel, Marlies Bongers, Carsten Leue

JMIR Form Res 2023;7:e29480

Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation

Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation

We present structural causal modeling as a guide to epidemiological judgement through encoding epidemiological knowledge into models that can be tested using sample data, and we describe a general graphical method for deriving falsifiable model conditions.

Nathaniel Stockham, Peter Washington, Brianna Chrisman, Kelley Paskov, Jae-Yoon Jung, Dennis Paul Wall

JMIR Public Health Surveill 2022;8(7):e31306

An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach

An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach

The most used and “most promising method” [11] is sentiment analysis. For example, sentiment analyses were conducted on messages posted on Twitter (tweets) to measure the opinions of Americans regarding vaccines [12] and evaluate the rate of hate tweets among Arab people [13]. Additionally, another method, opinion mining, is used and has obtained an equal level of maturity [14].

Romy Sauvayre, Jessica Vernier, Cédric Chauvière

JMIR Med Inform 2022;10(5):e37831

A New Performance Metric to Estimate the Risk of Exposure to Infection in a Health Care Setting: Descriptive Study

A New Performance Metric to Estimate the Risk of Exposure to Infection in a Health Care Setting: Descriptive Study

Detection of HH actions by a trained observer is currently the gold standard in HH monitoring; however, this method is not only expensive but also suffers from inadequate staffing, delayed data feedback, and an overestimate of performance between 200% and 300% [14,15]. With the recent advances in electronic monitoring systems (EMS), it is possible to track individual HCW’s HH actions automatically [16-21].

Kimia Hadian, Geoff Fernie, Atena Roshan Fekr

JMIR Form Res 2022;6(2):e32384

Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports

Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports

Thus, a twofold solution is required: a method that directs specialists in planning an m Health intervention program themselves, and a model that guides specialists in adopting existing solutions while advising software developers on building new ones.

Bruna Carolina Rodrigues Cunha, Kamila Rios Da Hora Rodrigues, Isabela Zaine, Elias Adriano Nogueira da Silva, Caio César Viel, Maria Da Graça Campos Pimentel

J Med Internet Res 2021;23(7):e24278

Generative Participatory Design Methodology to Develop Electronic Health Interventions: Systematic Literature Review

Generative Participatory Design Methodology to Develop Electronic Health Interventions: Systematic Literature Review

Overall, 55 studies, based on the experience of the authors, considered the PD method to have successfully contributed to the e Health development. For instance [41]: Through a mediated exploration with clinicians and technology co-designers, we could broadly explore opportunity areas for new technologies within a healthcare domain and unravel initial design considerations related to this intersection.

Pieter Vandekerckhove, Marleen de Mul, Wichor M Bramer, Antoinette A de Bont

J Med Internet Res 2020;22(4):e13780

Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study

Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study

To the best of our knowledge there is no current method to obtain this kind of information based on sensor signals without having another information source such as video. However, such information could help better predict falls and develop new fall prevention interventions as well as fall detection approaches. Connell and Wolf [13] previously proposed a re-enactment method to validate subjective fall reports.

Kim Sarah Sczuka, Lars Schwickert, Clemens Becker, Jochen Klenk

J Med Internet Res 2020;22(4):e13961

Usability Evaluation Methods for Gesture-Based Games: A Systematic Review

Usability Evaluation Methods for Gesture-Based Games: A Systematic Review

Evaluation method and its application steps: the author’s methodology and how it was applied; 6. User’s tasks: experiment tasks; 7. Type of interface (2 D or 3 D) and software used: the applications used during the experiments; 8. Time required for the user experience and evaluation: the period for each user evaluation; and 9. Results: the analysis and conclusions of the authors of each study.

Fernando Winckler Simor, Manoela Rogofski Brum, Jaison Dairon Ebertz Schmidt, Rafael Rieder, Ana Carolina Bertoletti De Marchi

JMIR Serious Games 2016;4(2):e17