Objective:to analyse research articles on pain and nursing issues using bibliometric and scientometric methodologies. Method:articles in the Web of Science database containing pain and nurse and pain and nursing were analyzed using scientometric methods through data visualization techniques and advanced text analytics. Result:among the 107,559 research articles found in the field of nursing, 3,976 of them were written based on the keywords pain and nursing, and were considered in conformity with the scope of this study. Preliminary analyses indicated that the publications have increased through the years with minor fluctuations. Titles, keywords, and abstracts were analyzed through text analytics to reveal keyword clusters and topic structures. Studies on oncology and pain in the field of nursing have a relatively higher frequency. Conclusion:the results of the analyses revealed the characteristics of the current literature in a broad range of areas by considering the particular dimensions. Therefore, the findings may support present and future research in this field by shedding light on the networks, trends, and contents in the related literature.

Background: Several studies have investigated the social and technical dimensions of a career in nursing. This paper reveals tendencies and patterns in relevant literature, through bibliometrics and scientometrics. Aim: This article aims to shed light on the scientific literature of nursing as a career, which is a growing field of study in the nursing category of the Web of Science. Methods: The researchers designed and conducted a bibliometric and scientometric study in the Web of Science Database, in April 2018. The 1,434 articles the authors evaluated were published between 1980 and 2017 in the Web of Science database. They analyzed the retrieved dataset through distancebased, graph-based, and timeline-based approaches, and text analytics in the scope of scientometrics and bibliometrics. Findings: The authors used summary statistics, text, and network analytics to determine the number of publications over the years. In addition, citation metrics, demographics, co-authorship identifications, citations, co-occurrence networks, and topic structures were used. In the keyword analysis of the studies, the concepts "nurse restriction," "satisfaction," "difficulties in the working environment," and "burn out and stress" were found to be used intensively. Discussion and Conclusion: This study is intended for nurses, managers, researchers, and also policymakers, because it is critical for them to see the rhetoric of the debates in the literature and provide the best governance and the best quality services.

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This study examined the effect of Web-based preoperative and postoperative patient care education among undergraduate nursing students. This was an experimental, randomized controlled study. The study included 305 nursing students (experimental group: n = 155, control group: n = 150), who were assessed with the following instruments: the Preoperative and Postoperative Care Knowledge Test, Preoperative and Postoperative Care Skill Control List, Clinical Decision Making in Nursing Scale, and Nursing Student Clinical Performance Evaluation Scale. t Tests and χ 2 tests were used to evaluate the data. There was no statistically significant difference between the students' posttest knowledge levels, clinical performance assessment, or clinical decision-making scores. The experimental group was found to perform the skills of “check patient's documents and prophylactic antibiotics when going to surgery” (χ 2 = 4.88; P = .02), “controls the surgical safety checklist (before surgery) before going to surgery” (χ 2 = 10.41; P = .00), and “observes surgical site/dressing (χ 2 = 7.77; P = .00)” at a statistically significantly higher level. The education provided in the Web-based education was equivalent to that provided in traditional education. Thus, Web-based education appears to be a useful tool to educate student nurses in preoperative and postoperative patient care.

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This study aims to develop a pipeline for identifying and prioritising the processes to include in business process management (BPM) initiatives by considering the obstacles for giving equal importance to the processes performed in businesses. The paper proposes the use of a process classification framework as a reference for process identification and fuzzy multi‐criteria decision‐making methods for prioritising the processes. A real‐life application is presented, which adopts APQC Process Identification Framework, Fuzzy‐SWARA for weighting the criteria, and six additional methods for prioritising the processes. The approach would assist the executives in maintaining the BPM lifecycle by presenting a roadmap, especially for organisations that do not have much experience in this field. Methodological depth, richness and recency would provide guidelines for investigating the best set of processes to include in the architecture initially, not in the analysis or redesign phases.