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. 2022 Oct 15;14(10):6953-6963.
eCollection 2022.

Identification of psychological stressors in cancer patients based on a computer decision support nursing system

Jinxia Ding  1 , Jinfang Wang  1 , Pengying Wu  1 , Yan Huang  1 , Yunya Dong  1 , Ning Rong  1 , Xiaotian Wang  2
Affiliations

Identification of psychological stressors in cancer patients based on a computer decision support nursing system

Jinxia Ding et al. Am J Transl Res. .

Abstract

Objective: We aim to improve the decision-making process of nursing evaluation, and the purpose of this paper was to introduce nursing outcome classifications based on standardized nursing language, as well as build a comprehensive nursing evaluation decision-making system model based on an artificial neural network and fuzzy comprehensive evaluations.

Methods: Based on the principle and method of the decision support system (DSS), this paper proposed a framework of DSS and developed an intelligent nursing decision support system which integrates expert systems, data, models and knowledge.

Results: Taking cancer patients as examples, based on the analysis and comparison of cancer stressors and their frequency of occurrence, this paper found that the 5 major factors for cancer patients' stress events were lack of privacy, attitude of the medical workers, unfamiliar medical workers and uncomfortable temperature in wards. In addition, through the single factor analysis of the stressors, it was found that "the impact of hospitalization on individuals and their families", "the professional level and service attitude of medical workers", and "partial loss of free social contact in the hospital" were all positively correlated with stress level. The degree of cancer patients' participation in treatment decision-making was lower than the expectation of the patients. There was a statistically significant difference between the actual participation and the anticipated participation of cancer patients in nursing decision-making (P < 0.0001). In addition, the system helped patients adapt to the hospital environment as quickly as possible, so that they could feel comfortable in the hospital environment, as well as a relaxed and pleasant with the humanistic environment.

Conclusion: Cancer patients have a variety of stressors, and the pressure is high. Our computer decision support nursing system assisted nurses to help patients to take positive coping measures to relieve pressure as soon as possible, so as to improve their quality of life.

Keywords: Decision support system; neural algorithm; pressure source; tumour patients.

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Conflict of interest statement

None.

Figures

Figure 1
Figure 1
The overall structure of the nursing decision support system.
Figure 2
Figure 2
The flow chart of intelligent nursing comprehensive evaluation decision support system.
Figure 3
Figure 3
The functions of the nursing decision system.
Figure 4
Figure 4
Pressure source classification and occurrence frequency. The triangles represent data points of pressure source frequency.
Figure 5
Figure 5
Stressors in cancer patients.
Figure 6
Figure 6
The main stress events of patients and their correlation among four dimensions. #: P < 0.05 compared with the economic problems of peasants; &: P < 0.05 compared with the medical works of peasants; *: P < 0.05 compared with the therapeutic process of peasants.
Figure 7
Figure 7
Degree of patient involvement in nursing decision making.
Figure 8
Figure 8
Group and score of hope level of cancer patients.
See this image and copyright information in PMC

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