Occupational burnout, even though is a widespread subject of research, remains one of the factors that threaten the implementation and organizational structure of the provided health service. The aim of our study is t...Occupational burnout, even though is a widespread subject of research, remains one of the factors that threaten the implementation and organizational structure of the provided health service. The aim of our study is to investigate the level of burnout among health professionals in Hellenic Red Cross Hospital, one of the biggest Public Hospitals in Athens, Greece. The study population included 116 health workers and was conducted in 2022. The present study, cross-sectional in nature, investigates burnout symptoms in the health-related professionals by measuring the three dimensions of burnout;emotional exhaustion, depersonalization and personal achievements. The overall findings show that people who provide health care services in hospitals are a vulnerable group to burnout syndrome. More specifically, it was found that emotional exhaustion moves at medium to high levels, as did depersonalization, while personal achievements are at moderate to low levels. The findings of the present study indicate that emphasis should be given to increasing the personal achievements of employees, which will in turn reduce emotional exhaustion and depersonalization. Perhaps a more detailed study on this topic could enlighten us about the causes and treatment of burnout syndrome in health professionals.展开更多
Within the framework of the Belt and RoadInitiative, the Red Cross Society of China hasactively carried out international cooperationprograms to enhance people-to-people exchangesand strengthen people-to-people connec...Within the framework of the Belt and RoadInitiative, the Red Cross Society of China hasactively carried out international cooperationprograms to enhance people-to-people exchangesand strengthen people-to-people connectivity,thus playing a more and more important rolein International Red Cross and Red CrescentMovement.展开更多
Objective:This randomized controlled trial aimed to assess the impact of a targeted educational intervention on the awareness and practice of genetic screening and counseling among young adults in Calabar Municipality...Objective:This randomized controlled trial aimed to assess the impact of a targeted educational intervention on the awareness and practice of genetic screening and counseling among young adults in Calabar Municipality,Cross River State.Materials and Methods:Participants(aged 18-45)were randomly assigned to either an intervention group receiving structured health education or a control group receiving general health information.Stratified randomization was used between the groups.A sample size of 340 participants was recruited to detect a 20%difference in outcomes with 80%power.Data were collected using prevalidated questionnaires at baseline,immediately after the intervention,and at a 3-month follow-up.The intervention consisted of three weekly 90-min educational sessions covering genetics,the benefits of screening,and practical guidance on accessing genetic services.The primary outcomes were changes in awareness and practices related to genetic screening,with secondary outcomes focusing on attitudes and intentions toward genetic counseling.Results:Findings revealed that awareness of genetic screening was higher in the intervention group,with 65.9%of participants aware of early detection,compared to 59.4%in the control group,although the difference was not statistically significant(P=0.23).In terms of practice,42.9%of the intervention group and 40.0%of the control group engaged in genetic screening programs,with no significant difference(P=0.57).Logistic regression analysis highlighted that age,educational level,and knowledge of teratogens were significant predictors of genetic screening awareness.Participants aged 36 years and above were 1.52 times more likely to be aware(odds ratio[OR]=1.52,P=0.003),and those with tertiary education had nearly double the likelihood of awareness(OR=1.96,P<0.001).Conclusion:The study underscores the importance of targeted education in improving genetic screening awareness.展开更多
BACKGROUND Ki-67 is a routine test item in clinical pathology departments.However,its prognostic value requires further investigation,especially in the context of research using machine learning(ML),which remains rela...BACKGROUND Ki-67 is a routine test item in clinical pathology departments.However,its prognostic value requires further investigation,especially in the context of research using machine learning(ML),which remains relatively underdeveloped.AIM To investigate the prognostic value of Ki-67 in cases of colorectal carcinoma(CRC)and explore the potential application of ML algorithms to predict the Ki-67 index.METHODS Case data and pathological sections from two centers were systematically collected.To analyze the prognostic value of the Ki-67 index in CRC,multiple cutoff values were established.Meanwhile,by virtue of the histological features presented in the hematoxylin and eosin-stained CRC images,three mainstream ML algorithms,support vector machine(SVM),random forest(RF),and eXtreme gradient boosting(XGBoost)were employed to construct prediction models.Subsequently,the potential of these algorithms to classify and predict the Ki-67 index was explored.RESULTS Non-parametric tests revealed that Ki-67≥40%correlated with a high histological grade(P=0.017),deficient mismatch repair protein status associated with≥50%-90%cutoffs(all P≤0.028),and≥80%linked to lymph node metastasis(P=0.006).Kaplan-Meier analysis showed that Ki-67≥50%predicted higher survival(log-rank P=0.0299,hazard ratio=2.142),with no differences for other cutoffs.COX regression identified the Ki-67 positive rate as a significant predictor(P=0.027,hazard ratio=2.583),while other variables had no association.In algorithmic model predictions,the SVM,RF,and XGBoost models achieved training area under the curve(AUC)values of 0.851,0.948,and 0.872,respectively,with corresponding test set AUC values of 0.795,0.755,and 0.750,respectively.During external validation,their AUC values for predicting Ki-67 status reached 0.757,0.749,and 0.783,respectively.CONCLUSION In algorithmic model predictions,the SVM,RF,and XGBoost models achieved training AUC values of 0.851,0.948,and 0.872,respectively,with corresponding test set AUC values of 0.795,0.755,and 0.750,respectively.During external validation,their AUC values for predicting Ki-67 status reached 0.757,0.749,and 0.783,respectively.展开更多
文摘Occupational burnout, even though is a widespread subject of research, remains one of the factors that threaten the implementation and organizational structure of the provided health service. The aim of our study is to investigate the level of burnout among health professionals in Hellenic Red Cross Hospital, one of the biggest Public Hospitals in Athens, Greece. The study population included 116 health workers and was conducted in 2022. The present study, cross-sectional in nature, investigates burnout symptoms in the health-related professionals by measuring the three dimensions of burnout;emotional exhaustion, depersonalization and personal achievements. The overall findings show that people who provide health care services in hospitals are a vulnerable group to burnout syndrome. More specifically, it was found that emotional exhaustion moves at medium to high levels, as did depersonalization, while personal achievements are at moderate to low levels. The findings of the present study indicate that emphasis should be given to increasing the personal achievements of employees, which will in turn reduce emotional exhaustion and depersonalization. Perhaps a more detailed study on this topic could enlighten us about the causes and treatment of burnout syndrome in health professionals.
文摘Within the framework of the Belt and RoadInitiative, the Red Cross Society of China hasactively carried out international cooperationprograms to enhance people-to-people exchangesand strengthen people-to-people connectivity,thus playing a more and more important rolein International Red Cross and Red CrescentMovement.
文摘Objective:This randomized controlled trial aimed to assess the impact of a targeted educational intervention on the awareness and practice of genetic screening and counseling among young adults in Calabar Municipality,Cross River State.Materials and Methods:Participants(aged 18-45)were randomly assigned to either an intervention group receiving structured health education or a control group receiving general health information.Stratified randomization was used between the groups.A sample size of 340 participants was recruited to detect a 20%difference in outcomes with 80%power.Data were collected using prevalidated questionnaires at baseline,immediately after the intervention,and at a 3-month follow-up.The intervention consisted of three weekly 90-min educational sessions covering genetics,the benefits of screening,and practical guidance on accessing genetic services.The primary outcomes were changes in awareness and practices related to genetic screening,with secondary outcomes focusing on attitudes and intentions toward genetic counseling.Results:Findings revealed that awareness of genetic screening was higher in the intervention group,with 65.9%of participants aware of early detection,compared to 59.4%in the control group,although the difference was not statistically significant(P=0.23).In terms of practice,42.9%of the intervention group and 40.0%of the control group engaged in genetic screening programs,with no significant difference(P=0.57).Logistic regression analysis highlighted that age,educational level,and knowledge of teratogens were significant predictors of genetic screening awareness.Participants aged 36 years and above were 1.52 times more likely to be aware(odds ratio[OR]=1.52,P=0.003),and those with tertiary education had nearly double the likelihood of awareness(OR=1.96,P<0.001).Conclusion:The study underscores the importance of targeted education in improving genetic screening awareness.
基金Supported by the Guangxi Zhuang Autonomous Region Health Commission Scientific Research Project,No.Z20210442。
文摘BACKGROUND Ki-67 is a routine test item in clinical pathology departments.However,its prognostic value requires further investigation,especially in the context of research using machine learning(ML),which remains relatively underdeveloped.AIM To investigate the prognostic value of Ki-67 in cases of colorectal carcinoma(CRC)and explore the potential application of ML algorithms to predict the Ki-67 index.METHODS Case data and pathological sections from two centers were systematically collected.To analyze the prognostic value of the Ki-67 index in CRC,multiple cutoff values were established.Meanwhile,by virtue of the histological features presented in the hematoxylin and eosin-stained CRC images,three mainstream ML algorithms,support vector machine(SVM),random forest(RF),and eXtreme gradient boosting(XGBoost)were employed to construct prediction models.Subsequently,the potential of these algorithms to classify and predict the Ki-67 index was explored.RESULTS Non-parametric tests revealed that Ki-67≥40%correlated with a high histological grade(P=0.017),deficient mismatch repair protein status associated with≥50%-90%cutoffs(all P≤0.028),and≥80%linked to lymph node metastasis(P=0.006).Kaplan-Meier analysis showed that Ki-67≥50%predicted higher survival(log-rank P=0.0299,hazard ratio=2.142),with no differences for other cutoffs.COX regression identified the Ki-67 positive rate as a significant predictor(P=0.027,hazard ratio=2.583),while other variables had no association.In algorithmic model predictions,the SVM,RF,and XGBoost models achieved training area under the curve(AUC)values of 0.851,0.948,and 0.872,respectively,with corresponding test set AUC values of 0.795,0.755,and 0.750,respectively.During external validation,their AUC values for predicting Ki-67 status reached 0.757,0.749,and 0.783,respectively.CONCLUSION In algorithmic model predictions,the SVM,RF,and XGBoost models achieved training AUC values of 0.851,0.948,and 0.872,respectively,with corresponding test set AUC values of 0.795,0.755,and 0.750,respectively.During external validation,their AUC values for predicting Ki-67 status reached 0.757,0.749,and 0.783,respectively.
