scholarly journals Data-Driven Multicriteria Decision Analysis of Bundles of Care for Patients with Ventilator-Associated Pneumonia

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Haiying Liu ◽  
Lan Zhang ◽  
Nan Zhang ◽  
Yuehao Shen ◽  
Dejin Chen ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Intervention Group ◽  
Multicriteria Decision Analysis ◽  
Control Group ◽  
Ventilator Associated Pneumonia ◽  
Prevention Measures ◽  
Research Subjects ◽  
Multicriteria Decision ◽  
Golden Yellow ◽  
Spontaneous Breath

Objective. The study focused on the nursing strategies of patients with ventilator-associated pneumonia (VAP) and multicriteria decision analysis (MCDA) in nursing supervision, so as to improve the survival rate and prognosis of patients with VAP. Methods. 200 patients of the database in the ICU who required mechanical ventilation were selected as research subjects. They were divided into control group and intervention group according to different nursing measures. The incidence of VAP was compared between the two groups, and 15 experts were consulted on the prevention measures of VAP. On the basis of ARIMA-GARCH mathematical modeling, using the method of multicriteria decision analysis, the cluster nursing strategy for ventilator-associated pneumonia patients was developed and verified. Results. In the control group, of the 34 patients infected with VAP, Gram-positive bacteria were detected in 11 cases, including 6 cases of Streptococcus pneumoniae, 3 cases of Escherichia coli, and 2 cases of golden yellow Staphylococcus. Gram-negative bacteria were detected in 10 cases, including 5 (50%) cases of Acinetobacter baumannii, 2 cases of Klebsiella pneumoniae, 2 cases of Brucella Bacillus, and 1 case of Pseudomonas aeruginosa. In the intervention group, 18 cases were diagnosed with VAP, including 4 (44.4%) cases of bacterial infection, 3 (44.4%) cases of virus infection, and 2 (22.2%) cases of fungal infection. According to the opinions of the 15 experts, a total of 6 bundled measures were adopted to prevent VAP, including 0.1% chlorhexidine for oral care; strict implementation of hand hygiene; the daily wake-up for spontaneous breath training and extubation assessment; continuous subglottic suction; raising the bed head by 30°–45°; and nasal feeding through the nasal tube without special condition. Conclusion. There are many factors that affect the occurrence of VAP in mechanically ventilated patients in the ICU, and the imperfect measures of bundles of care are the main one. The implementation rates of distinct intervention strategies are different. The implementation rate of 2 measures is lower than 95%, which are the continuous subglottic suction and daily wake-up for spontaneous breath training and extubation assessment.

EVALUATION OF ECO-EFFICIENCY BY MULTICRITERIA DECISION ANALYSIS. CASE STUDY OF ECO-INNOVATED AND ECO-DESIGNED PRODUCTS FROM RECYCLABLE WASTE

2018 ◽  
Vol 17 (8) ◽  
pp. 1791-1804 ◽  
Author(s):  
Maria Gavrilescu ◽  
Elena-Diana Comanita ◽  
Petronela Cozma ◽  
Isabela Maria Simion ◽  
Mihaela Rosca
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision

The Application of Multicriteria Decision Analysis Methods in Health Care: A Literature Review

2021 ◽  
pp. 0272989X2110190
Author(s):  
Ilyas Khan ◽  
Liliane Pintelon ◽  
Harry Martin
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Decision Analysis ◽  
Medical Devices ◽  
Hybrid Methods ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Health Care Decision ◽  
Wide Range ◽  
Care Decision

Objectives The main objectives of this article are 2-fold. First, we explore the application of multicriteria decision analysis (MCDA) methods in different areas of health care, particularly the adoption of various MCDA methods across health care decision making problems. Second, we report on the publication trends on the application of MCDA methods in health care. Method PubMed was searched for literature from 1960 to 2019 in the English language. A wide range of keywords was used to retrieve relevant studies. The literature search was performed in September 2019. Articles were included only if they have reported an MCDA case in health care. Results and Conclusion The search yielded 8,318 abstracts, of which 158 fulfilled the inclusion criteria and were considered for further analysis. Hybrid methods are the most widely used methods in health care decision making problems. When it comes to single methods, analytic hierarchy process (AHP) is the most widely used method followed by TOPSIS (technique for order preference by similarity to ideal solution), multiattribute utility theory, goal programming, EVIDEM (evidence and value: impact on decision making), evidential reasoning, discrete choice experiment, and so on. Interestingly, the usage of hybrid methods has been high in recent years. AHP is most widely applied in screening and diagnosing and followed by treatment, medical devices, resource allocation, and so on. Furthermore, treatment, screening and diagnosing, medical devices, and drug development and assessment got more attention in the MCDA context. It is indicated that the application of MCDA methods to health care decision making problem is determined by the nature and complexity of the health care problem. However, guidelines and tools exist that assist in the selection of an MCDA method.

Organic syntheses greenness assessment with multicriteria decision analysis

2021 ◽  
Author(s):  
Marek Tobiszewski ◽  
Witold Przychodzeń ◽  
Marta Bystrzanowska ◽  
Maria Jolanta Milewska
Keyword(s):  
Green Chemistry ◽  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Organic Syntheses

Green chemistry requires the metrics system that are comprehensive by the criteria included and simple in application at the same time. We propose the application of multicriteria decision analysis for...

Pengaruh Endorphin Massage terhadap Nyeri Haid Mahasiswi Tingkat Akhir S1 Keperawatan Universitas Nahdlatul Ulama Surabaya

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Yurike Septianingrum ◽  
Nety Mawarda Hatmanti
Keyword(s):  
Nursing Students ◽  
Design Research ◽  
Intervention Group ◽  
Simple Random Sampling ◽  
Control Group ◽  
Research Subjects ◽  
Menstrual Pain ◽  
Control Group Design ◽  
Vas Score ◽  
Post Test

Introduction: Menstrual pain or dysmenorrhea is a common problem that is often complained of by women during menstruation. Menstrual pain can interfere learning activities, especially final year students in completing their thesis. The purpose of this study were to analyze the effect of endorphin massage on menstrual pain in final year nursing students of UNUSA. Method: This study using an experimental with pre-test and post-test control group design. Research subjects of this study was recruited using simple random sampling who was included inclusion and exclusion criteria. Research subjects in this study was of 46 students who were then divided into two groups, 23 students into intervention group and 23 students into control group. Data were collected by using observation with VAS. Data were analyzed by using Wilcoxon and Mann-Whitney U test. Result and Analysis: The results showed that: 1) There was difference VAS score between pre test and post test in intervention group (p= 0,000), 2) There was difference VAS score between intervention and control group (p= 0,017). Conclusion: Endorphin massage could reduce menstrual pain in final year nursing student of UNUSA. Further research, is expected that endorphin massage can be compared with music therapy to reduce menstrual painKeywords: endorphin massage, menstrual pain, primary dysmenorrhea

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