ABSTRACT
Purpose@#This study investigated the prevalence and perceptions of workplace violence against registered nurses (RNs) in hospitals. @*Methods@#One thousand RNs replied to a nationwide survey from November 14 to December 22, 2022. They reported their general characteristics, prevalence of and their responses to different types of workplace violence from patients, family caregivers, physicians, and nurse peers, as well as their perceptions of workplace violence management systems. @*Results@#A total of 71.1% of the RNs reported that they had experienced workplace violence in the last six months. The violence and sexual harassment experienced from patients and family caregivers were 57.3% and 19.1%, respectively. Furthermore, violence, sexual harassment, and workplace harassment from physicians were experienced by 24.6%, 4.0%, and 7.4%, respectively, of the RNs, and those from nurse peers by 21.4%, 3.1%, and 11.3%, respectively. The RNs stated that they often responded to workplace violence with passive and inactive behaviors, which were more serious toward physicians’ workplace violence or sexual harassment from different perpetrators. Only 69.5% were aware of their hospital’s workplace violence management systems, while only 14.7%~27.4%, according to the type of hospital (p=.471), perceived the systems as effective. Multiple important strategies were identified to prevent workplace violence. @*Conclusion@#Critical suggestions are discussed for the prevention of workplace violence, including protecting the human rights of healthcare professionals, inter-organizational collaboration, and a culture of person-centered healthcare, and training nurse managers’ competency in managing workplace violence.
ABSTRACT
Purpose@#The aim of this study was to identify core keywords and topic groups in the ‘Diabetes mellitus and mobile applications’ field of research for better understanding research trends in the past 20 years. @*Methods@#This study was a text-mining and topic modeling study including four steps such as ‘collecting abstracts’, ‘extracting and cleaning semantic morphemes’, ‘building a co-occurrence matrix’, and ‘analyzing network features and clustering topic groups’. @*Results@#A total of 789 papers published between 2002 and 2021 were found in databases (Springer). Among them, 435 words were extracted from 118 articles selected according to the conditions: ‘analyzed by text network analysis and topic modeling’. The core keywords were ‘self-management’, ‘intervention’, ‘health’, ‘support’, ‘technique’ and ‘system’. Through the topic modeling analysis, four themes were derived: ‘intervention’, ‘blood glucose level control’, ‘self-management’ and ‘mobile health’. The main topic of this study was ‘self-management’. @*Conclusion@#While more recent work has investigated mobile applications, the highest feature was related to self-management in the diabetes care and prevention. Nursing interventions utilizing mobile application are expected to not only effective and powerful glycemic control and self-management tools, but can be also used for patient-driven lifestyle modification.
ABSTRACT
Purpose@#The aim of this study was to identify core keywords and topic groups in the ‘Gestational diabetes mellitus (GDM) and Breastfeeding’ field of research for better understanding research trends in the past 20 years. @*Methods@#This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. @*Results@#A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', ‘fetus’, ‘hypoglycemia’, 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were ‘cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: ‘cardiovascular disease’, ‘obesity’, ‘complication prevention strategy’, ‘support of breastfeeding’, ‘educational program’ and ‘management of GDM’. @*Conclusion@#This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.
ABSTRACT
Purpose@#The aim of this study was to identify core keywords and topic groups in the ‘Diabetes mellitus and mobile applications’ field of research for better understanding research trends in the past 20 years. @*Methods@#This study was a text-mining and topic modeling study including four steps such as ‘collecting abstracts’, ‘extracting and cleaning semantic morphemes’, ‘building a co-occurrence matrix’, and ‘analyzing network features and clustering topic groups’. @*Results@#A total of 789 papers published between 2002 and 2021 were found in databases (Springer). Among them, 435 words were extracted from 118 articles selected according to the conditions: ‘analyzed by text network analysis and topic modeling’. The core keywords were ‘self-management’, ‘intervention’, ‘health’, ‘support’, ‘technique’ and ‘system’. Through the topic modeling analysis, four themes were derived: ‘intervention’, ‘blood glucose level control’, ‘self-management’ and ‘mobile health’. The main topic of this study was ‘self-management’. @*Conclusion@#While more recent work has investigated mobile applications, the highest feature was related to self-management in the diabetes care and prevention. Nursing interventions utilizing mobile application are expected to not only effective and powerful glycemic control and self-management tools, but can be also used for patient-driven lifestyle modification.
ABSTRACT
Purpose@#The aim of this study was to identify core keywords and topic groups in the ‘Gestational diabetes mellitus (GDM) and Breastfeeding’ field of research for better understanding research trends in the past 20 years. @*Methods@#This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. @*Results@#A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', ‘fetus’, ‘hypoglycemia’, 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were ‘cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: ‘cardiovascular disease’, ‘obesity’, ‘complication prevention strategy’, ‘support of breastfeeding’, ‘educational program’ and ‘management of GDM’. @*Conclusion@#This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.