Ding Wang1, Xiang Lv2, Shaofeng Zhang3, Taiping Zhu1. 1. Department of Enrollment and Internship Employment, Shijiazhuang Medical College Shijiazhuang 050500, China. 2. Department of Internal Medicine, Central Hospital of Baixiang County Xingtai 055450, China. 3. Principal's Office, Shijiazhuang Medical College Shijiazhuang 050500, China.
Abstract
OBJECTIVE: To explore the short-term and long-term effect of rehabilitation in patients with tibial fracture based on network cloud platform and progressive health education. METHODS: A total of 100 patients with tibial fracture treated in our hospital from December 2018 to February 2020 were selected as the research subjects. According to their admission order, they were divided into a control group (n=50) and experimental group (n=50). The control group was given routine health education and nursing, while the experimental group was given progressive health education and nursing based on a network cloud platform. The fracture healing time, complication rate, knee joint function, hospitalization stay, ability of daily living, and self-efficacy of the two groups were analyzed. RESULTS: (1) The fracture healing time and hospitalization stay of the experimental group were (72.03 ± 5.33) d and (13.15 ± 2.05) d, which were significantly lower than those of the control group [(90.89 ± 5.88) d and (18.56 ± 2.87) d] (T=16.80, 10.85, P < 0.001). (2) After nursing, the Lysholm score of the experimental group (43.13 ± 5.62) was significantly higher than that of the control group (31.77 ± 5.51) (T=10.21, P < 0.001). (3) The incidence of complications in the experimental group was significantly lower in comparison with that of the control group. (4) After nursing, the ADL score of the experimental group was significantly higher than that of the control group (T=7.85, P < 0.001). (5) After nursing, as compared with the control group, the GSEs score of the experimental group was significantly higher (T=5.22, P < 0.001). CONCLUSION: Implementation of network cloud platform-based and progressive health education for patients with tibial fracture after operation has a positive effect on improving the short-term and long-term rehabilitation effect. AJTR
RCT Entities:
OBJECTIVE: To explore the short-term and long-term effect of rehabilitation in patients with tibial fracture based on network cloud platform and progressive health education. METHODS: A total of 100 patients with tibial fracture treated in our hospital from December 2018 to February 2020 were selected as the research subjects. According to their admission order, they were divided into a control group (n=50) and experimental group (n=50). The control group was given routine health education and nursing, while the experimental group was given progressive health education and nursing based on a network cloud platform. The fracture healing time, complication rate, knee joint function, hospitalization stay, ability of daily living, and self-efficacy of the two groups were analyzed. RESULTS: (1) The fracture healing time and hospitalization stay of the experimental group were (72.03 ± 5.33) d and (13.15 ± 2.05) d, which were significantly lower than those of the control group [(90.89 ± 5.88) d and (18.56 ± 2.87) d] (T=16.80, 10.85, P < 0.001). (2) After nursing, the Lysholm score of the experimental group (43.13 ± 5.62) was significantly higher than that of the control group (31.77 ± 5.51) (T=10.21, P < 0.001). (3) The incidence of complications in the experimental group was significantly lower in comparison with that of the control group. (4) After nursing, the ADL score of the experimental group was significantly higher than that of the control group (T=7.85, P < 0.001). (5) After nursing, as compared with the control group, the GSEs score of the experimental group was significantly higher (T=5.22, P < 0.001). CONCLUSION: Implementation of network cloud platform-based and progressive health education for patients with tibial fracture after operation has a positive effect on improving the short-term and long-term rehabilitation effect. AJTR
Authors: W J Metsemakers; R Kuehl; T F Moriarty; R G Richards; M H J Verhofstad; O Borens; S Kates; M Morgenstern Journal: Injury Date: 2016-09-11 Impact factor: 2.586
Authors: Stacey A Meardon; John D Willson; Samantha R Gries; Thomas W Kernozek; Timothy R Derrick Journal: Clin Biomech (Bristol, Avon) Date: 2015-08-08 Impact factor: 2.063