1.Construction and effect evaluation of nursing management team professionalization model in an inter-national medical center of a provincial public tertiary hospital
Nannan ZHANG ; Hong LI ; Jing CHENG ; Shanshan ZUO ; Lina SUO ; Feifei YU ; Yifei KAN
Modern Hospital 2024;24(8):1238-1242
Objective To explore the professionalization model of nursing management team in an international medical center in a provincial public tertiary hospital.Methods Through literature research and Delphi method,a three-person nursing management team was established respectively in three nursing units:outpatient,first-ward,and second-ward of the center,and then trained professionally to define management boundaries and responsibilities.The training effect was verified by applying the professionalization management in the international medical center.The three nursing teams(nine nurses totally)were compared in terms of leadership,patient satisfaction,and nursing discipline construction before and after the training.Results Following the training,the three teams all exhibited a significant improvement in leadership as well as its dimensions(P<0.05),and pa-tient satisfaction(P<0.05).Additionally,care quality,scientific research capacity,and innovation ability were all elevated across the three groups.Conclusion The establishment of a nursing management team and performance of professional training can effectively promote the concept of professionalization management,improve the leadership of nurses,cultivate talent eche-lons,drive the overall development of disciplines and teams,and expand the connotation of nursing culture.For all these bene-fits,this model is suitable for promotion and application among clinical departments.
2.Effect of closed-loop management mode on the improvement of operation cooperation ability of nurses in Interventional Operating Room
Shuming SHE ; Yujie HOU ; Lina SUO
Chinese Journal of Modern Nursing 2022;28(32):4561-4564
Objective:To explore the effect of closed-loop management model on the improvement of operation cooperation ability of nurses in Intervention Operating Room.Methods:A prospective study was conducted, and the time of implementing closed-loop management model in the Interventional Operating Room of Henan Chest Hospital was taken as the node. From January to December 2020, the convenient sampling was used to select 246 patients with coronary heart disease who received interventional treatment in the Interventional Operating Room of Henan Chest Hospital as the research objects. The patients who were treated before the implementation of the closed-loop management model from January to June 2020 were set as the control group, and the patients who were treated after the implementation of the closed-loop management model from July to December 2020 were set as the observation group, with 123 cases in each group. There were 13 nurses in the Interventional Operating Room before and after the implementation of closed-loop management mode. The control group received conventional Operating Room management mode, while the observation group received closed-loop management mode on the basis of the control group. The handover time of nurses, assessment results and patients' surgical cooperation ability were compared before and after the implementation of Interventional Operating Room.Results:After the implementation of closed-loop management model, the scores of specialized theoretical knowledge and nursing quality of Interventional Operating Room nurses were (92.55±4.04) and (94.21±3.47) , which were higher than (88.20±5.15) and (89.36±7.61) before the implementation, and the differences were statistically significant ( P < 0.05) . The excellent and good cooperation rate of nurses in the observation group was 98.37% (121/123) , which was higher than 92.68% (114/123) in the control group, and the difference was statistically significant ( P<0.05) . The handover time of nurses in Interventional Operating Room was (1.56±0.54) min after the implementation of closed-loop management model and (2.57±1.52) min before the implementation, and the difference was statistically significant ( P<0.05) . Conclusions:The closed-loop management model can effectively improve nurses' cooperation ability, improve nurses' specialized theoretical knowledge and nursing quality.
3.Propranolol in the treatment of problematic infantile hemangiomas.
Jianyun LU ; Guizhi QIN ; Jinhua HUANG ; Suo LI ; Jing ZHAO ; Yaping XIANG ; Jing CHEN ; Chengxin ZUO ; Shengbo YANG ; Lina TNA
Journal of Central South University(Medical Sciences) 2011;36(11):1102-1105
OBJECTIVE:
To evaluate the short-term efficacy and safety of propranolol for problematic infantile hemangiomas.
METHODS:
Oral propranolol was administered to 68 infants with heamngiomas diagnosed by clinical evaluation and adjuvant examination at 1.0~2.0 mg per kilogram of body weight per day, divided to 2 or 3 times. The patients revisited once a month. The changes of the tumor size, texture, and color were monitored and recorded at a regular interval.The adverse effects after medication were observed and managed accordingly.The short-term results were evaluated using a 4-grade system.
RESULTS:
All the 68 infants were followed up for 3-13 months, except that 1 infants combined with other diseases and 4 withdrew.The overall response was Scale 1 in 8 infants, Scale II in 13, Scale III in 29, and Scale IV in 13. No serious adverse effects were seen, but none cured entirely as well.
CONCLUSION
Oral propranolol is safe and effective for infantile heamngioma with good short-term result. It could be used as the primary drug for problematic infantile hemangiomas at the rapid growth stage of hemangiomas.
Female
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Hemangioma
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drug therapy
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Humans
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Infant
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Male
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Propranolol
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therapeutic use
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Prospective Studies
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Skin Neoplasms
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drug therapy
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Subcutaneous Tissue
4.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
5.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
6.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
7.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
8.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
9.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
10.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.