Rehabilitation Applications Based on Behavioral Therapy for People With Knee Osteoarthritis: Systematic Review.
Dian ZhuJianan ZhaoMingxuan WangBochen CaoWenhui ZhangYunlong LiChenqi ZhangTing HanPublished in: JMIR mHealth and uHealth (2024)
The results demonstrate that "goals and planning" and "repetition and substitution" are frequently used to develop PA goals and PA behavior adherence. The most prevalent combination strategy was app/website plus SMS text message/telephone/email, which has tremendous potential. Moreover, incorporating several stakeholders in the design and development stages might enhance user experience, considering the distinct variations in their requirements. To improve the efficacy and availability of digital applications, we have several proposals. First, comprehensive care for patients should be ensured by integrating multiple behavioral therapies that encompass various aspects of the rehabilitation process, such as rehabilitation exercises and status monitoring. Second, therapists could benefit from more precise recommendations by incorporating additional intelligent algorithms to analyze patient data. Third, the implementation scope should be expanded from the home environment to a broader social community rehabilitation setting.
Keyphrases
- healthcare
- knee osteoarthritis
- systematic review
- end stage renal disease
- mental health
- chronic kidney disease
- ejection fraction
- machine learning
- quality improvement
- primary care
- prognostic factors
- randomized controlled trial
- meta analyses
- peritoneal dialysis
- public health
- resistance training
- pain management
- patient reported outcomes
- high intensity
- artificial intelligence
- chronic pain