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Project-based nursing model on cognition and compliance of fall prevention in high-risk fall patients

Authors :
WANG Xuan
LIU Xiaoli
YAO Suchan
ZHANG Xiaosong
DI Xiaomin
LU Yang
Source :
Zhongguo linchuang yanjiu, Vol 36, Iss 8, Pp 1267-1271 (2023)
Publication Year :
2023
Publisher :
The Editorial Department of Chinese Journal of Clinical Research, 2023.

Abstract

ObjectiveTo analyze the improvement of fall prevention cognition and compliance among high-risk fall patients after the introduction of project-based nursing model. MethodsA total of 86 patients admitted in the First Hospital of Hebei Medical University from October 2020 to October 2021 were selected, and were randomly divided into observation group and control group according to the digital table, with 43 patients in each group. The control group implemented the routine nursing scheme, and the observation group implemented the project-based nursing mode. At the end of the first week after the intervention, the self-developed fall prevention cognitive questionnaire and fall prevention compliance behavior investigation table were used to investigate the fall prevention cognitive system and the compliance of the patients. ResultsThe cognitive score of the observation group was higher than that of the control group (P<0.05). The score of fall prevention compliance in the observation group was higher than that in the control group[(81.7±3.7)pointsvs(63.8±2.4) points,t=26.615, P<0.01]. The nursing satisfaction in observation group was significant higher than that in control group (95.4%vs79.1%, χ2=5.108, P<0.05). ConclusionThe application of the project-based nursing model to the high-risk fall population can improve the individuals fall prevention cognitive system and improve their compliance to fall prevention behavior.

Details

Language :
Chinese
ISSN :
16748182
Volume :
36
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Zhongguo linchuang yanjiu
Publication Type :
Academic Journal
Accession number :
edsdoj.b56f178ebb2e4a00b16c17cabb7dceba
Document Type :
article
Full Text :
https://doi.org/10.13429/j.cnki.cjcr.2023.08.033