A Hybrid MADM Model for Newly Graduated Nurse's Competence Evaluation and Improvement

Improve the satisfaction of medical staff on the use of home nursing mobile APP by using a hybrid multi-standard decision model

OBJECTIVE

To identify critical satisfaction gaps in a home nursing mobile application (APP) using a systematic decision-making model.

METHODS

Initially, the decision-making trial and evaluation laboratory method was used to analyze the relationship structure and corresponding weights among the indicators. The Importance-Performance Analysis (IPA) method was used to identify the categories of all indicators and their corresponding strategic directions. Twenty-six home nursing specialists currently providing home nursing services were recruited for this study.

RESULTS

The IPA results revealed that "Assurance," "Reliability," and "Personal security protection" are critical satisfaction gaps. From the influence network and weight results, "information quality" and "system quality" were the critical quality factors in the home nursing mobile APP. The influence of the network relationship structure and weight demonstrated a 98.12% significance level, indicating good stability.

CONCLUSION

Continuous improvement in information and system quality is recommended to optimize the overall quality of the home nursing mobile APP. Additionally, user demands should be considered, and personal safety guarantee functions should be developed and integrated into the system to ensure the safety of home nursing workers.

Identifying key mental health and improvement factors in hospital administrators working from home using a DEMATEL-based network analysis model

Purpose

To identify the key mental health and improvement factors in hospital administrators working from home during COVID-19 normalization prevention and control.

Methods

The survey was conducted from May to June 2023, and the practical experiences of 33 hospital administrators were collected using purposive sampling. The study examined a set of mental health factor systems. The relationship structure between the factors was constructed using the Decision-making Trial and Evaluation Laboratory (DEMATEL) method. Finally, the structure was transformed using the influence weight of each factor via the DEMATEL-based Analytic Network Process.

Results

Regarding influence weight, the key mental health factors of hospital administrators are mainly "lack of coordination," "time management issues," and "work-life imbalances." The influential network relation map shows that improvements can be made by addressing "improper guidelines," "laziness due to being at home," and "job insecurity" because they are the main sources of influence. The reliability level of the results for the network structure and weight was 98.79% (i.e., the gap was 1.12% < 5%).

Conclusion

The network analysis model based on DEMATEL proposed in this study can evaluate the mental health factors of hospital administrators during the pandemic period from a multidimensional and multidirectional perspective and may help improve mental health problems and provide suggestions for hospital administrators.

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Multi-criteria decision-making (MCDM) methods have been widely used among researchers to provide a trade-off solution between best and worst, considering conflicting criteria and sets of preferences. An efficient and systematic literature review of these methods is needed to maintain their application in distinctive domains. To this end, this paper presents a comprehensive and systematic literature survey on "multi-objective optimization by ratio analysis" (MOORA) method and its fuzzy extensions developed and discussed in recent years. This review includes articles categorized based on the publication name, publishing year, journal name, type of applications, and type of fuzzy extensions. In addition, this review will enhance the understanding of practitioners and decision-makers on the MOORA method, its development, fuzzy hybridization, different application areas, and future work. The study revealed that the MOORA technique was predominantly used with the TOPSIS approach, followed by the AHP and COPRAS methods. Furthermore, 76.28 % use single and hybridization approaches among all MOORA studies, while 23.72 % use MOORA in a fuzzy environment.

Construction and application on the training course of information literacy for clinical nurses

DESIGN

A two-round Delphi survey was conducted to seek opinions from experts about the index system for the evaluation of training courses of clinical nursing staff's information literacy. Besides, a non-randomized controlled experimental study was adopted to check the application effect of the training courses.

AIMS

This study intended to construct a training course of information literacy for clinical nurses, train nurses in order to improve their information literacy level and provide theoretical reference for the training of information literacy courses for clinical nurses.

METHODS

Two rounds of Delphi study were conducted for the study among 26 clinical medical and nursing experts as well as educational experts from 5 different provinces and cities in China. From July 2022 to October 2022, a total of 84 clinical nurses from two hospitals were selected by the convenience sampling method, of which the nurses in one hospital were the control group and the nurses in the other hospital were the observation group. 42 nurses in the observation group were trained by the constructed information literacy training course. Questionnaire evaluation was used to compare the differences in the level of information literacy of nurses and the training effect between the two groups.

RESULTS

The results of the Delphi consultation showed that the expert's judgment coefficient was 0.958, the expert's familiarity was 0.946, and the expert's authority coefficient was 0.952. Finally, a training course of information literacy for clinical nurses with 4 course categories and 45 specific course contents was formed. Among them, nursing information awareness included 7 courses, nursing information knowledge 15 courses, nursing information ability 19 courses, and nursing information ethics 4 courses. The results of the empirical study showed that the information literacy level of the nurses in the observation group after the training of the information literacy course was improved, and the scores in nursing information awareness, nursing information knowledge, nursing information ability, and information ethics were significantly higher than those in the control group after training (P < 0.05).

CONCLUSIONS

The constructed information literacy training courses for clinical nurses were clearly targeted and systematic. Empirical research showed that the course contents were scientific and reasonable, which could provide reference for the training of clinical nurses' information literacy.

Identification of critical quality factors and critical satisfaction gaps in emergency training courses for new nurses by the multi-criteria network structure model

OBJECTIVE

To identify critical quality factors and critical satisfaction gaps in emergency training courses for new nurses through a systematic decision-making model.

METHODS

Firstly, the service quality (SERVQUAL) was used in the evaluation index system of this study. Then, the decision-making trial and evaluation laboratory (DEMATEL) method was used to analyze the relationship structure and the corresponding weights between the indicators. Finally, the importance-performance analysis (IPA) method was used to identify the categories of all indicators and the corresponding strategic directions. Fifteen new nurses in Taizhou Hospital of Zhejiang Province were selected as participants in this study.

RESULTS

The IPA results showed that "(C₁₃)," "(C₂₂)," "(C₅₂)," "(C₅₃)," "(C₅₄)," "(C₅₅)," "(C₅₆),"and "(C₅₇)" are critical satisfaction gaps. From the results of influence network and weight, empathy (C₅) was the critical quality factor of the entire training course. The influence network relationship structure and weight had a 98.1% significant confidence level, indicating good stability.

CONCLUSION

Teachers' empathy is key to the learning outcomes of new nurses in emergency nursing training courses. Hence, teachers should be attentive to the empathetic quality of their teaching methods to help new nurses gain knowledge and experience in emergency care, especially when they come from different professions and departments.

The DEMATEL method explores the interdependent relationship structure and weights for diagnosis-related groups system

Purpose

This study constructs a structure of interaction between dimensions and criteria within the diagnosis-related groups (DRGs) system from a quantitative system and identifies key factors affecting the overall performance of medical services.

Method

From September to December 2020, the influence relation structure diagram (IRSD) of the dimensions and corresponding criteria was developed from the practical experience of a group of domain experts, based on the DEMATEL method. Subsequently, all dimensions and criteria construct influential weights from a systems perspective. Finally, the main influential factors were identified based on the analysis results.

Results

The IRSD results showed that, in the overall performance of medical services, “Medical service capacity (C₁)” was the main influential dimension, influencing both “Medical service efficiency (C₂)” and “Medical service safety (C₃).” At the criteria level, “Case-mix index (CMI) (C₁₂),” “Time efficiency index (C₂₁),” and “Inpatient mortality of medium-to-low group (C₃₂)” were the main influential criteria in the corresponding dimensions. The influential weight results showed that “Medical service capacity (C₁)” was also a key dimension. “Case-mix index (CMI) (C₁₂),” “Cost efficiency index (C₂₂),” and “Inpatient mortality of medium-to-low group (C₃₂)” were the key criteria in their respective dimensions.

Conclusion

Patients and managers should first focus on the capacity of medical service providers when making a choice or deciding using the results of the DRGs system. Furthermore, they should pay more attention to medical safety even if it is not as weighted as medical efficiency.