Performance management in hospital organizations from the perspective of Principal Component Analysis and Data Envelopment Analysis: the case of Federal University Hospitals in Brazil

Peixoto, Maria Gabriela Mendonça; Musetti, Marcel Andreotti; Mendonça, Maria Cristina Angélico

doi:10.1016/j.cie.2020.106873

Cited by 21 publications

(5 citation statements)

References 76 publications

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“…This method can help decision‐makers easily obtain the key factors of customer satisfaction and corresponding management countermeasures. This approach has been widely applied to many different topics, such as hospital information systems (Markazi‐Moghaddam et al, 2019), hospital organisation performance (Peixoto et al, 2020), nursing practice, (Park et al, 2021) and patient‐centred care coordination (Kinnaer et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Using hybrid consistent fuzzy preference relations–importance‐performance analysis model to improve shared decision‐making quality based on orthopaedic nurses' perceptions

Chuang

Luo

Jin

et al. 2022

Journal of Clinical Nursing

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Purpose: To understand key factors for shared decision-making (SDM) and the quality improvement of nursing decisions in the orthopaedic clinical environment. Method:This study applied the consistent consistent fuzzy preference relations (CFPRs) and importance-performance analysis (IPA) methods to explore the attribute weights and SDM performance, respectively. The dataset was collected from 16 orthopaedic clinical nurses' experiences in a third-grade and first-level general hospital in Taizhou, China. This study was performed according to the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) guidelines. Results:The results showed that "I made clear to my patient or patient's family that a nursing care decision needs to be made", "I explained the advantages and disadvantages of the nursing care options to my patient or patient's family" and "I told my patient or patient's family that there are different nursing care options for caring his/ her medical condition" were key factors for affecting SDM. The statistical significance confidence and difference error of weight results were 98.321% and 1.679%, respectively. In addition, "I asked my patient or patient's family which nursing care option he/she prefers" was the key factor for improving orthopaedic clinical nursing in the case hospital. Conclusion:The hybrid CFPRs-IPA model can help hospital managers effectively understand the key factors of SDM quality and improve the orthopaedic clinical nursing performance from nurses' perspectives.

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Section: Methodsmentioning

confidence: 99%

Using hybrid consistent fuzzy preference relations–importance‐performance analysis model to improve shared decision‐making quality based on orthopaedic nurses' perceptions

Chuang

Luo

Jin

et al. 2022

Journal of Clinical Nursing

View full text Add to dashboard Cite

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“…The basic model and its modifications were proposed [29]. Furthermore, the hybrid approaches of the DEA and PCA are used in supplier selection, performance estimation, and score ranking problems [30][31][32][33][34].…”

Section: The Comparison Of the Proposed Approach And Dea-pca Methodsmentioning

confidence: 99%

Estimating the Artificial Intelligence Learning Efficiency for Civil Engineer Education: A Case Study in Taiwan

Chiang¹

2021

Sustainability

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The civil engineering educators focused on implementing interdisciplinary learning in artificial intelligence (AI) based on a more innovative application of construction requirements. However, only a few pieces of literature discussed the educational learning efficiency and feedback for this trend. Hence, this study surveyed the 237 data from eight universities that issued the interdisciplinary courses. The factors were modified from the scales in science, technology, engineering, and mathematics education. Further, the descriptive analysis was used to explain this situation in Taiwan. A novel approach based on data envelopment analysis and Mahalanobis distance approaches was proposed to solve this problem. The advantages of the proposed approach were discussed and compared with traditional method. Based on the student gains in the interdisciplinary courses, three groups were clustered and compared. The feedback of a high-input and low-efficiency student group was suggested for improving learning strategies. The sensitivity analysis of this special group showed that effective teaching practice is the key factor in the artificial intelligence courses for civil engineering students. These students may increase technical efficiency by 37% by paying 21% inputs. Therefore, this paper provided a useful and easy approach to make learning strategies for non-informatics students in AI learning.

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“…By finding facilities that aren't working well and the best ways to do things, healthcare managers can better use their resources and make focused changes to boost performance. Researchers in a regional health care [20] system used DEA to figure out how well hospitals provided maternity care services in a study. The study found ways to improve quality and make the best use of resources by comparing inputs (like the number of obstetricians and hospital beds) to outputs (like the health results for mothers and babies).…”

Section: Assessing Efficiency and Effectiveness Of Healthcare Facilitiesmentioning

confidence: 99%

Measuring Efficiency and Effectiveness in Public Health Management: Methodologies and Applications

2024

South Eastern European Journal of Public Health

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Efficient and successful measures are important for judging how well public health management systems work. To find out how efficient and effective public health management is, this study work looks at different methods and uses. Starting with a definition of efficiency and effectiveness in public health, highlighting how important they are for making the best use of resources and getting desired health results. For example, data envelopment analysis (DEA), stochastic frontier analysis (SFA), costeffectiveness analysis (CEA), quality-adjusted life years (QALYs), and other related methods are used to measure these measurements. Furthermore, the essay talks about the problems and limits of figuring out how efficient and effective public health management

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Performance management in hospital organizations from the perspective of Principal Component Analysis and Data Envelopment Analysis: the case of Federal University Hospitals in Brazil

Cited by 21 publications

References 76 publications

Using hybrid consistent fuzzy preference relations–importance‐performance analysis model to improve shared decision‐making quality based on orthopaedic nurses' perceptions

Using hybrid consistent fuzzy preference relations–importance‐performance analysis model to improve shared decision‐making quality based on orthopaedic nurses' perceptions

Estimating the Artificial Intelligence Learning Efficiency for Civil Engineer Education: A Case Study in Taiwan

Measuring Efficiency and Effectiveness in Public Health Management: Methodologies and Applications

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