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. 2021 Dec 11:2021:6368189.
doi: 10.1155/2021/6368189. eCollection 2021.

Prevention Effects of Chain Management on Pressure Ulcers of Hospitalized Patients

Affiliations

Prevention Effects of Chain Management on Pressure Ulcers of Hospitalized Patients

Jiao Yao et al. J Healthc Eng. .

Retraction in

Abstract

The study focused on the preventive effects of the chain management model on pressure ulcers in the operating room. Sqoop big data collection module is used to collect patient information from various hospital information systems in a distributed manner. The data were from the clinical data center of the Zhongshan Hospital Xiamen University General Hospital, and 268 patients were selected as the research subjects. A chain management model is constructed, concerning the preventive measures, the management of each link, the perioperative pressure ulcer management, and the reporting of pressure ulcers. Then, the two groups were compared for the SAS and SDS scores before and after nursing, the pressure ulcer sites, pressure ulcer reporting rate, pressure ulcer staging, and nursing satisfaction. The results show that it is not that more collection modules will lead to better cluster performance and that the execution delay is caused by MapReduce requiring the JAVA virtual machine, and after reaching a certain point, the increase in the number of tasks will slow down the process, and as data size increases, DataNote has an expanded capability to analyze data. After nursing treatment, the SAS and SDS scores of the two groups of patients were significantly lower than before treatment (P < 0.05). The pressure ulcers were mainly distributed in the forehead, mandible, cheeks, front chest, and knees in the two groups, and the difference between the two groups was statistically significant (P < 0.05). The total satisfaction of the observation group was 93.28%, and the total satisfaction of the control group was 92.54%. The patients' satisfaction with the chain management model was higher than that of conventional nursing.

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Conflict of interest statement

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Figures

Figure 1
Figure 1
Medical big data information management.
Figure 2
Figure 2
Algorithm implementation flow chart.
Figure 3
Figure 3
Schematic diagram of chain management of pressure ulcers.
Figure 4
Figure 4
Pressure ulcer prevention management and link management.
Figure 5
Figure 5
The chain management of pressure ulcers during the perioperative period.
Figure 6
Figure 6
Flow chart of the reporting of pressure ulcers.
Figure 7
Figure 7
Big data analysis-based performance comparison results.
Figure 8
Figure 8
Comparison of SAS and SDS scores (∗ indicated that the difference was statistically significant).
Figure 9
Figure 9
Staging of pressure ulcers.
Figure 10
Figure 10
Pressure ulcer reporting rate.
Figure 11
Figure 11
Comparison of pressure ulcer sites.
Figure 12
Figure 12
Comparison of nursing satisfaction.

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