TY  - JOUR
AU  - Roos, Jonas
AU  - Martin, Ron
AU  - Kaczmarczyk, Robert
PY  - 2025/2/11
TI  - Correction: Evaluating Bard Gemini Pro and GPT-4 Vision Against Student Performance in Medical Visual Question Answering: Comparative Case Study
JO  - JMIR Form Res
SP  - e71664
VL  - 9
UR  - https://formative.jmir.org/2025/1/e71664
UR  - http://dx.doi.org/10.2196/71664
ID  - info:doi/10.2196/71664
ER  - 

TY  - JOUR
AU  - Gómez-González, Antonia Marta
AU  - Cordero Tous, Nicolas
AU  - De la Cruz Sabido, Javier
AU  - Sánchez Corral, Carlos
AU  - Lechuga Carrasco, Beatriz
AU  - López-Vicente, Marta
AU  - Olivares Granados, Gonzalo
PY  - 2025/1/22
TI  - Following Up Patients With Chronic Pain Using a Mobile App With a Support Center: Unicenter Prospective Study
JO  - JMIR Hum Factors
SP  - e60160
VL  - 12
KW  - pain management
KW  - mobile health
KW  - mHealth
KW  - eHealth
KW  - chronic pain
KW  - support center
KW  - mobile phone app
KW  - survey
KW  - follow-up
KW  - pain control
KW  - prospective study
N2  - Background: Chronic pain is among the most common conditions worldwide and requires a multidisciplinary treatment approach. Spinal cord stimulation is a possible treatment option for pain management; however, patients undergoing this intervention require close follow-up, which is not always feasible. eHealth apps offer opportunities for improved patient follow-up, although adherence to these apps tends to decrease over time, with rates dropping to approximately 60%. To improve adherence to remote follow-up, we developed a remote follow-up system consisting of a mobile app for patients, a website for health care professionals, and a remote support center. Objective: Our objective was to evaluate patient adherence to remote follow-up using a system that includes a mobile app and a remote support center. Methods: After review of the literature and approval of the design of the follow-up system by a multidisciplinary committee, a team of experts developed a system based on a mobile app, a website for health care professionals, and a remote support center. The system was developed in collaboration with health care professionals and uses validated scales to capture patients? clinical data at each stage of treatment (ie, pretreatment phase, trial phase, and implantation phase). Data were collected prospectively between January 2020 to August 2023, including the number of total surveys sent, surveys completed, SMS text message reminders sent, and reminder calls made. Results: A total of 64 patients were included (n=40 women, 62.5%) in the study. By the end of the study, 19 (29.7%) patients remained in the pretreatment phase, 8 (12.5%) patients had completed the trial phase, and 37 (57.8%) reached the implantation phase. The mean follow-up period was 15.30 (SD 9.43) months. A total of 1574 surveys were sent, along with 488 SMS text message reminders and 53 reminder calls. The mean adherence rate decreased from 94.53% (SD 20.63%) during the pretreatment phase to 65.68% (SD 23.49%) in the implantation phase, with an overall mean adherence rate of 87.37% (SD 15.37%) for the app. ANOVA showed that adherence was significantly higher in the earlier phases of treatment (P<.001). Conclusions: Our remote follow-up system, supported by a remote support center improves adherence to follow-up in later phases of treatment, although adherence decreased over time. Further studies are needed to investigate the relationship between adherence to the app and pain management. 
UR  - https://humanfactors.jmir.org/2025/1/e60160
UR  - http://dx.doi.org/10.2196/60160
ID  - info:doi/10.2196/60160
ER  - 

TY  - JOUR
AU  - Tsafnat, Guy
AU  - Dunscombe, Rachel
AU  - Gabriel, Davera
AU  - Grieve, Grahame
AU  - Reich, Christian
PY  - 2024/4/9
TI  - Converge or Collide? Making Sense of a Plethora of Open Data Standards in Health Care
JO  - J Med Internet Res
SP  - e55779
VL  - 26
KW  - interoperability
KW  - clinical data
KW  - open data standards
KW  - health care
KW  - digital health
KW  - health care data
UR  - https://www.jmir.org/2024/1/e55779
UR  - http://dx.doi.org/10.2196/55779
UR  - http://www.ncbi.nlm.nih.gov/pubmed/38593431
ID  - info:doi/10.2196/55779
ER  -