Introduction: This study assesses rural providers’ perceptions of their ability to deliver high quality care via telehealth compared to usual care, and whether attending providers perceive that emergency department (...Introduction: This study assesses rural providers’ perceptions of their ability to deliver high quality care via telehealth compared to usual care, and whether attending providers perceive that emergency department (ED) telehealth visits influence clinical reasoning in regard to patient disposition, specifically in tele-behavioral and tele-neurological cases. Methods: A cross-sectional survey was conducted of 134 ED providers (nurses [n = 126] and physicians [n = 8]) who were working in five Midwestern critical access hospitals (response rate 83%). Descriptive, correlational and stepwise regression analyses were employed to evaluate provider perceptions of 1) competency level in telehealth delivery, 2) patient health outcomes, 3) access to continuing education in telehealth, and 4) clinical influence of telehealth visit. Evaluation of preliminary set of N = 100 telehealth cases were assessed for influence of telehealth on clinical reasoning of attending physicians regarding patient disposition. Results: The majority (67%;n = 90) of participants had at least minimal experience with telehealth care delivery, with an average of 1 - 2 visits in teleneurology, and 3 - 4 visits in telebehavioral cases. Providers rated their overall mean competency level in telehealth care delivery as 3.01/5.00 based on a 5 point “novice (1) to expert” (5) scale. Mean scores for providers perceived competency level in 7 evidence-based sub-categories for telehealth care delivery were self-reported as relatively low to mid-range values, ranging from 2.64 - 3.57/5.00. Stepwise linear regression analysis of whether all providers “would recommend telehealth to their family and friends” revealed two predictors for model of best fit (n = 81;p 2 = 0.598): 1) their perceptions of telehealth experience compared to usual care;and 2) perceptions of patient health outcomes with telehealth compared to usual care. Providers rated “neutral” to “very unlikely” that they “would recommend telehealth to family and friends” (2.75/5.00;n = 122;91%). Attending physicians reported that for a majority of cases, telehealth visits influenced patient disposition and transfer decision-making (58.4%), and the influence of telehealth visits on patient disposition was statistically significantly higher for behavioral health cases (p Discussion: This study will be followed on to inform administrators/policy makers about 1) perceived level of competency of providers who implement tele-emergency care, 2) potential importance of telehealth equipment used and teamwork between rural providers and distant specialist, and 3) how use of telehealth may enhance ability of rural ED providers to improve quality of care. Perceived influence of telehealth on patient disposition is reported to be highest for telebehavioral patients. Healthcare educators need to place a priority on addressing provider competencies in telehealth through health professions degree programs and continuing education. Further research is needed to promote application and testing of evidence-based provider competencies in telehealth, and potentially relevant health communication models, to increase providers’ perceived efficacy and competency in telehealth care delivery, thus supporting high quality patient health outcomes.展开更多
The application of main methodologies for clinical decision-making by residents in emergency medical practice was assessed,and issues in this area were investigated.The treatments provided to 2611 critical patients by...The application of main methodologies for clinical decision-making by residents in emergency medical practice was assessed,and issues in this area were investigated.The treatments provided to 2611 critical patients by the Emergency Department of Peking Union Medical College Hospital were analyzed by independent investigators who evaluated the main clinical decision-making processes applied by the hospital residents.The application of decision-making strategies by PG1 and PG3 groups,which means the residents in first year and the third year,were compared.The patients were treated according to pattern recognition(43.0%),hypotheticodeductive reasoning(23.4%),event-driven models(19.3%),and rule-using algorithms(5.9%).A significant difference was found between PG1 and PG3 groups(χ^(2)=498.01,P<0.001).Pattern recognition and hypotheticdeductive methods were the most common techniques applied by emergency physicians in evaluating critically ill patients.The decision-making processes applied by junior and senior residents were significantly different,although neither group adequately applied rule-using algorithms.Inclusion of clinical decision-making in medical curricula is needed to improve decision-making in critical care.展开更多
BACKGROUND:When critically ill patients require specialized treatment that exceeds the capability of the index hospitals,patients are frequently transferred to a tertiary or quaternary hospital for a higher level of c...BACKGROUND:When critically ill patients require specialized treatment that exceeds the capability of the index hospitals,patients are frequently transferred to a tertiary or quaternary hospital for a higher level of care.Therefore,appropriate and efficient care for patients during the process of transport between two hospitals(interfacility transfer)is an essential part of patient care.While medical adverse events may occur during the interfacility transfer process,there have not been evidence-based guidelines regarding the equipment or the practice for patient care during transport.METHODS:We conducted searches from the PubMed,Cumulative Index of Nursing and Allied Health(CINAHL),and Scopus databases up to June 2022.Two reviewers independently screened the titles and abstracts for eligibility.Studies that were not in the English language and did not involve critically ill patients were excluded.RESULTS:The search identified 75 articles,and we included 48 studies for our narrative review.Most studies were observational studies.CONCLUSION:The review provided the current evidence-based management of diverse disease states during the interfacility transfer process,such as proning positioning for respiratory failure,extracorporeal membrane oxygenation(ECMO),obstetric emergencies,and hypertensive emergencies(aortic dissection and spontaneous intracranial hemorrhage).展开更多
目的分析急诊科危重症患者院内转运不良事件风险因素,构建风险预测模型。方法采用方便抽样法选取2021年10月至2023年2月某院急诊科进行院内转运的870例危重症患者的临床资料,采用单因素和多因素Logistic回归分析建立风险预测模型,以受...目的分析急诊科危重症患者院内转运不良事件风险因素,构建风险预测模型。方法采用方便抽样法选取2021年10月至2023年2月某院急诊科进行院内转运的870例危重症患者的临床资料,采用单因素和多因素Logistic回归分析建立风险预测模型,以受试者工作特征(receiver operating characteristic,ROC)曲线下面积(area under curve,AUC)评价模型预测效果。结果英国国家早期预警评分(national early warning score,NEWS)、血氧饱和度、急诊B超、血管活性药物、机械通气是急诊科危重症患者发生病情不良事件的独立风险因素;血氧饱和度、携氧装置、Ⅲ类管路、护工参与转运是技术不良事件的独立风险因素(均P<0.05)。AUC分别为0.813,0.756。结论构建的急诊科危重症患者院内转运不良事件风险预测模型具有一定的参考价值。展开更多
目的调查影响急诊危重患者预后的危险因素,构建急诊危重患者预后预测模型并对其应用效果进行验证,以期为急诊患者病情危重程度评估提供科学依据。方法采用便利抽样法,选取2019年9月至2020年8月于苏州大学某附属医院急诊科就诊的危重患...目的调查影响急诊危重患者预后的危险因素,构建急诊危重患者预后预测模型并对其应用效果进行验证,以期为急诊患者病情危重程度评估提供科学依据。方法采用便利抽样法,选取2019年9月至2020年8月于苏州大学某附属医院急诊科就诊的危重患者为研究对象。按患者在急诊的预后(是否死亡)进行分层随机抽样,分配70%为建模组(3737例),30%为验证组(1601例)。将建模组患者分为存活组与死亡组,采用单因素分析与Logistic回归方程分析筛选影响急诊危重患者预后的独立危险因素并建立预测模型,采用Hosmer-Lemeshow检验预测模型的拟合优度,受试者工作特征曲线(receiver operating characteristic curve,ROC)检测模型的预测效能。结果Logistic回归分析显示,年龄、收缩压、脉搏、呼吸、体温、血氧饱和度(peripheral oxygen saturation,SpO_(2))、AVPU评分[即A(alert)为意识清醒、V(responds to voice)为对声音有反应、P(responds to pain)为对疼痛有反应、U(unrespondsive)为无反应]、入院方式等8项是急诊危重患者预后的独立危险因素,根据各独立危险因素对应的危险积分值构建急诊危重患者预后快速评分工具,形成急诊危重患者预后预测模型。Hosmer-Lemeshow检验结果显示,P=0.863,ROC曲线下面积为0.876,Youden指数为0.585,敏感度为0.810,特异度为0.775,实际应用正确性为80.5%,提示模型具有较好的拟合效果及鉴别效能。结论基于影响急诊危重患者预后危险因素建立的预测模型,有利于尽早识别有死亡风险的急诊危重患者,为医护人员有针对性并及时对有死亡风险急诊危重患者采取预防性护理措施提供指导。展开更多
文摘Introduction: This study assesses rural providers’ perceptions of their ability to deliver high quality care via telehealth compared to usual care, and whether attending providers perceive that emergency department (ED) telehealth visits influence clinical reasoning in regard to patient disposition, specifically in tele-behavioral and tele-neurological cases. Methods: A cross-sectional survey was conducted of 134 ED providers (nurses [n = 126] and physicians [n = 8]) who were working in five Midwestern critical access hospitals (response rate 83%). Descriptive, correlational and stepwise regression analyses were employed to evaluate provider perceptions of 1) competency level in telehealth delivery, 2) patient health outcomes, 3) access to continuing education in telehealth, and 4) clinical influence of telehealth visit. Evaluation of preliminary set of N = 100 telehealth cases were assessed for influence of telehealth on clinical reasoning of attending physicians regarding patient disposition. Results: The majority (67%;n = 90) of participants had at least minimal experience with telehealth care delivery, with an average of 1 - 2 visits in teleneurology, and 3 - 4 visits in telebehavioral cases. Providers rated their overall mean competency level in telehealth care delivery as 3.01/5.00 based on a 5 point “novice (1) to expert” (5) scale. Mean scores for providers perceived competency level in 7 evidence-based sub-categories for telehealth care delivery were self-reported as relatively low to mid-range values, ranging from 2.64 - 3.57/5.00. Stepwise linear regression analysis of whether all providers “would recommend telehealth to their family and friends” revealed two predictors for model of best fit (n = 81;p 2 = 0.598): 1) their perceptions of telehealth experience compared to usual care;and 2) perceptions of patient health outcomes with telehealth compared to usual care. Providers rated “neutral” to “very unlikely” that they “would recommend telehealth to family and friends” (2.75/5.00;n = 122;91%). Attending physicians reported that for a majority of cases, telehealth visits influenced patient disposition and transfer decision-making (58.4%), and the influence of telehealth visits on patient disposition was statistically significantly higher for behavioral health cases (p Discussion: This study will be followed on to inform administrators/policy makers about 1) perceived level of competency of providers who implement tele-emergency care, 2) potential importance of telehealth equipment used and teamwork between rural providers and distant specialist, and 3) how use of telehealth may enhance ability of rural ED providers to improve quality of care. Perceived influence of telehealth on patient disposition is reported to be highest for telebehavioral patients. Healthcare educators need to place a priority on addressing provider competencies in telehealth through health professions degree programs and continuing education. Further research is needed to promote application and testing of evidence-based provider competencies in telehealth, and potentially relevant health communication models, to increase providers’ perceived efficacy and competency in telehealth care delivery, thus supporting high quality patient health outcomes.
文摘The application of main methodologies for clinical decision-making by residents in emergency medical practice was assessed,and issues in this area were investigated.The treatments provided to 2611 critical patients by the Emergency Department of Peking Union Medical College Hospital were analyzed by independent investigators who evaluated the main clinical decision-making processes applied by the hospital residents.The application of decision-making strategies by PG1 and PG3 groups,which means the residents in first year and the third year,were compared.The patients were treated according to pattern recognition(43.0%),hypotheticodeductive reasoning(23.4%),event-driven models(19.3%),and rule-using algorithms(5.9%).A significant difference was found between PG1 and PG3 groups(χ^(2)=498.01,P<0.001).Pattern recognition and hypotheticdeductive methods were the most common techniques applied by emergency physicians in evaluating critically ill patients.The decision-making processes applied by junior and senior residents were significantly different,although neither group adequately applied rule-using algorithms.Inclusion of clinical decision-making in medical curricula is needed to improve decision-making in critical care.
文摘BACKGROUND:When critically ill patients require specialized treatment that exceeds the capability of the index hospitals,patients are frequently transferred to a tertiary or quaternary hospital for a higher level of care.Therefore,appropriate and efficient care for patients during the process of transport between two hospitals(interfacility transfer)is an essential part of patient care.While medical adverse events may occur during the interfacility transfer process,there have not been evidence-based guidelines regarding the equipment or the practice for patient care during transport.METHODS:We conducted searches from the PubMed,Cumulative Index of Nursing and Allied Health(CINAHL),and Scopus databases up to June 2022.Two reviewers independently screened the titles and abstracts for eligibility.Studies that were not in the English language and did not involve critically ill patients were excluded.RESULTS:The search identified 75 articles,and we included 48 studies for our narrative review.Most studies were observational studies.CONCLUSION:The review provided the current evidence-based management of diverse disease states during the interfacility transfer process,such as proning positioning for respiratory failure,extracorporeal membrane oxygenation(ECMO),obstetric emergencies,and hypertensive emergencies(aortic dissection and spontaneous intracranial hemorrhage).
文摘目的分析急诊科危重症患者院内转运不良事件风险因素,构建风险预测模型。方法采用方便抽样法选取2021年10月至2023年2月某院急诊科进行院内转运的870例危重症患者的临床资料,采用单因素和多因素Logistic回归分析建立风险预测模型,以受试者工作特征(receiver operating characteristic,ROC)曲线下面积(area under curve,AUC)评价模型预测效果。结果英国国家早期预警评分(national early warning score,NEWS)、血氧饱和度、急诊B超、血管活性药物、机械通气是急诊科危重症患者发生病情不良事件的独立风险因素;血氧饱和度、携氧装置、Ⅲ类管路、护工参与转运是技术不良事件的独立风险因素(均P<0.05)。AUC分别为0.813,0.756。结论构建的急诊科危重症患者院内转运不良事件风险预测模型具有一定的参考价值。
文摘目的调查影响急诊危重患者预后的危险因素,构建急诊危重患者预后预测模型并对其应用效果进行验证,以期为急诊患者病情危重程度评估提供科学依据。方法采用便利抽样法,选取2019年9月至2020年8月于苏州大学某附属医院急诊科就诊的危重患者为研究对象。按患者在急诊的预后(是否死亡)进行分层随机抽样,分配70%为建模组(3737例),30%为验证组(1601例)。将建模组患者分为存活组与死亡组,采用单因素分析与Logistic回归方程分析筛选影响急诊危重患者预后的独立危险因素并建立预测模型,采用Hosmer-Lemeshow检验预测模型的拟合优度,受试者工作特征曲线(receiver operating characteristic curve,ROC)检测模型的预测效能。结果Logistic回归分析显示,年龄、收缩压、脉搏、呼吸、体温、血氧饱和度(peripheral oxygen saturation,SpO_(2))、AVPU评分[即A(alert)为意识清醒、V(responds to voice)为对声音有反应、P(responds to pain)为对疼痛有反应、U(unrespondsive)为无反应]、入院方式等8项是急诊危重患者预后的独立危险因素,根据各独立危险因素对应的危险积分值构建急诊危重患者预后快速评分工具,形成急诊危重患者预后预测模型。Hosmer-Lemeshow检验结果显示,P=0.863,ROC曲线下面积为0.876,Youden指数为0.585,敏感度为0.810,特异度为0.775,实际应用正确性为80.5%,提示模型具有较好的拟合效果及鉴别效能。结论基于影响急诊危重患者预后危险因素建立的预测模型,有利于尽早识别有死亡风险的急诊危重患者,为医护人员有针对性并及时对有死亡风险急诊危重患者采取预防性护理措施提供指导。