As an important medical electronic equipment for the cardioversion of malignant arrhythmia such as ventricular fibrillation and ventricular tachycardia, cardiac external defibrillators have been widely used in the clinics. However, the resuscitation success rate for these patients is still unsatisfied. In this paper, the recent advances of cardiac external defibrillation technologies is reviewed. The potential mechanism of defibrillation, the development of novel defibrillation waveform, the factors that may affect defibrillation outcome, the interaction between defibrillation waveform and ventricular fibrillation waveform, and the individualized patient-specific external defibrillation protocol are analyzed and summarized. We hope that this review can provide helpful reference for the optimization of external defibrillator design and the individualization of clinical application.
Objective To scientifically construct a self-management behavior scale for postoperative patients with osteoporotic fractures, in order to assess the self-management behavior level of this patient population. Methods Between November 2022 and February 2023, a scale item pool was constructed using literature analysis and expert panel discussions. A preliminary version of the scale was formed based on feedback from 30 experts and 15 patients. From March 2023 to March 2024, a convenience sampling method was used to survey 230 patients post-osteoporotic fracture surgery from a tertiary hospital in Guangzhou. Cronbach’s α coefficient, split-half reliability, and test-retest reliability were used to assess the reliability of the scale, while content validity and exploratory factor analysis were used to evaluate its validity. Results The developed scale consisted of 5 dimensions and 27 items. The content validity index for each item ranged from 0.933 to 1.000. Exploratory factor analysis extracted 5 common factors, explaining 65.964% of the cumulative variance. The overall Cronbach’s α coefficient, split-half reliability, and test-retest reliability were 0.934, 0.780, and 0.958, respectively. The Cronbach’s α coefficient, split-half reliability, and test-retest reliability for each dimension ranged from 0.849 to 0.897, 0.816 to 0.904, and 0.826 to 0.894, respectively. Conclusions The self-management behavior scale for post-osteoporotic fracture surgery patients demonstrates good reliability and validity. It is a highly authoritative and scientific tool that can be used effectively to assess self-management behaviors in these patients and provide a basis for developing personalized self-management interventions.
The full-cycle rehabilitation management for orthopedic patients can solve the problems of standardization, systematization, and whole process of orthopaedic rehabilitation management, and prevent short-term and long-term complications. The First Affiliated Hospital of Sun Yat-sen University has constructed a full-cycle rehabilitation management platform for orthopedic patients based on multi-source data since 2023, including six modules: multi-source data collection and integration module, intelligent individualized rehabilitation program setting module, and visual rehabilitation training module, and has explored a digitally-driven full-cycle rehabilitation management mode for orthopedic patients. This article elaborates on the platform’s functional design and implementation, full-cycle rehabilitation management mode, and application effectiveness, in order to provide a reference for promoting the integration of mobile health and orthopedic patient rehabilitation practice.