Problems and Opportunities of a Smartphone-Based Care Management Platform: Application of the Wald Principles to a Survey-Based Analysis of Patients' Perception in a Pilot Center.
Stefano Marco Paolo RossiRocco Maria PanzeraRudy SangalettiLuca AndriolloLaura GiudiceFrancesca LecciFrancesco BenazzoPublished in: Healthcare (Basel, Switzerland) (2024)
(1) Background: Mobile health (mHealth) solutions can become a means of improving functional recovery and reducing the peri-operative burden and costs associated with arthroplasty procedures. The aim of this study is to explore the objectives, functionalities, and outcomes of a platform designed to provide personalized surgical experiences to qualified patients, along with the associated problems and opportunities. (2) Methods: A survey-based analysis was conducted on patients who were prescribed the use of a specific care management platform and underwent primary robotic total knee arthroplasty (rTKA) between January 2021 and February 2023. (3) Results: Patients registered on the platform who have undergone primary robotic TKA (rTKA) were considered. The mean age of registered patients is 68.6 years. The male (M)/female (F) ratio is 45.1%/54.9%. The patients interviewed were at an average distance of 485 days from the intervention, with a standard deviation of 187.5. The survey highlighted appreciation for the app and its features, but also limitations in its use and in its perception by the patients. All these data were evaluated according to the Wald principles and strategies to improve patient recruitment, enhance adherence, and create a comprehensive patient journey for optimized surgical experiences. (4) Conclusions: This patient care platform may have the potential to impact surgical experiences by increasing patient engagement, facilitating remote monitoring, and providing personalized care. There is a need to emphasize the importance of integrating the recruiting process, improving adherence strategies, and creating a comprehensive patient journey within the platform.
Keyphrases
- end stage renal disease
- total knee arthroplasty
- newly diagnosed
- healthcare
- peritoneal dialysis
- mental health
- prognostic factors
- palliative care
- randomized controlled trial
- high throughput
- case report
- risk factors
- type diabetes
- artificial intelligence
- quality improvement
- adipose tissue
- metabolic syndrome
- deep learning
- chronic pain
- data analysis
- human health