The design of elderly fracture rehabilitation software based on"Information-Motivation-Behavioral Skills Model"
10.3760/cma.j.issn.1672-7088.2018.24.004
- VernacularTitle:基于"信息-动机-行为"理论的老年骨折康复软件的设计
- Author:
Qiong WU
1
;
Zhixia JIANG
;
Rongfei LAI
;
Tao SU
;
Yongya DAI
;
Di HUANG
;
Jingjing ZHANG
;
Lingxia SONG
Author Information
1. 563003,遵义医学院附属医院护理部
- Keywords:
Aged;
Fracture;
Information-motivation-behavioral Skills Model;
Rehabilitation Software
- From:
Chinese Journal of Practical Nursing
2018;34(24):1855-1860
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the effect of the rehabilitation software based on information-motivation-behavioral skills(IMB)model on meeting the rehabilitation needs, increasing the continuation of rehabilitation and the rehabilitation compliance, improving the outcome of rehabilitation among elderly patients with fracture. Methods Based on the theory of"information-motivation-behavior"and the unity of human- computer interaction as the design concept, the status quo of rehabilitation training and rehabilitation needs of elderly patients with fracture were reviewed. The rehabilitation training test was applied to 30 patients with fracture in orthopedic department of our hospital. 30 patients in the same period were randomly selected as control group. All patients underwent Self-Rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) scores before and 1 and 3 months after operation. Differences were tested using Student's t test. Results Developed rehabilitation application software based on information module、motivation module and behavior module. The test group using this software for rehabilitation training was compared with the control group. The results showed that there was no significant difference in preoperative SAS and SDS scores between the two groups (t=-0.648,-0.284, P>0.05). At 1 and 3 months after operation, the SAS scores in the test group were (40.05 ± 6.77), (32.01 ±5.86), which were lower than (45.50 ± 11.32), (39.55 ± 5.67) in the control group (t=-4.14,-4.89, P<0.01). The SDS scores in the test group were (42.30 ± 9.86), (33.23 ± 6.56), which were lower than (46.50 ± 10.32), (38.45 ± 7.80) in the control group (t=-3.52,-3.82, P=0.001). Conclusion Rehabilitation software can influence the rehabilitation behavior of elderly fracture patients from information and motivation factors, provide professional guidance and rehabilitation intervention, and promote the implementation of active rehabilitation.
