scholarly journals Lack of association between intraoperative handoff of care and postoperative complications: a retrospective observational study

2019 ◽  
Author(s):  
Vikas N O'Reilly-Shah ◽  
Victoria G Melanson ◽  
Cinnamon L Sullivan ◽  
Craig S Jabaley ◽  
Grant C Lynde

Abstract Background: The significance of intraoperative anesthesia handoffs on patient outcomes are unclear. One aspect differentiating the disparate results is the treatment of confounding factors, such as patient comorbidities and surgery time of day. We performed this study to quantify the significance of confounding variables on composite adverse events during intraoperative anesthesia handoffs. Methods: In this retrospective study, we analyzed data from the American College of Surgeons National Surgical Quality Improvement Project (ACS NSQIP). We examined the effects of intraoperative handoffs between anesthesia personnel. A total of 12,111 cases performed examined at two hospitals operated by a single healthcare system that were that included in the ACS NSQIP database performed. The presence of attending and anesthetist or resident handoffs, patient age, sex, body mass index, American Society of Anesthesiologists Physical Status (ASA-PS) classification, case length, surgical case complexity, and evening/weekend start time were measured. Results: A total of 2,586 of all cases in the NSQIP dataset experienced a handoff during the case. When analyzed as a single variable, attending handoffs were associated with higher rates of adverse outcomes. However, once confounding variables were added into the analysis, attending handoffs and complete care transitions were no longer statistically significant. Conclusions: Inclusion of significant covariates is essential to fully understanding the impact provider handoffs have on patient outcomes. Case timing and lengthy case duration are more likely to result in both a handoff and an adverse event. The impact of handoffs on patient outcomes seen in the literature are likely due, in part, to how covariates were addressed.

2019 ◽  
Author(s):  
Vikas N O'Reilly-Shah ◽  
Victoria G Melanson ◽  
Cinnamon L Sullivan ◽  
Craig S Jabaley ◽  
Grant C Lynde

Abstract Background: The significance of intraoperative anesthesia handoffs on patient outcomes are unclear. One aspect differentiating the disparate results is the treatment of confounding factors, such as patient comorbidities and surgery time of day. We performed this study to quantify the significance of confounding variables on composite adverse events during intraoperative anesthesia handoffs. Methods: In this retrospective study, we analyzed data from the American College of Surgeons National Surgical Quality Improvement Project (ACS NSQIP). We examined the effects of intraoperative handoffs between anesthesia personnel. A total of 12,111 cases performed examined at two hospitals operated by a single healthcare system that were that included in the ACS NSQIP database performed. The presence of attending and anesthetist or resident handoffs, patient age, sex, body mass index, American Society of Anesthesiologists Physical Status (ASA-PS) classification, case length, surgical case complexity, and evening/weekend start time were measured. Results: A total of 2,586 of all cases in the NSQIP dataset experienced a handoff during the case. When analyzed as a single variable, attending handoffs were associated with higher rates of adverse outcomes. However, once confounding variables were added into the analysis, attending handoffs and complete care transitions were no longer statistically significant. Conclusions: Inclusion of significant covariates is essential to fully understanding the impact provider handoffs have on patient outcomes. Case timing and lengthy case duration are more likely to result in both a handoff and an adverse event. The impact of handoffs on patient outcomes seen in the literature are likely due, in part, to how covariates were addressed.


2019 ◽  
Author(s):  
Vikas N O'Reilly-Shah ◽  
Victoria G Melanson ◽  
Cinnamon L Sullivan ◽  
Craig S Jabaley ◽  
Grant C Lynde

Abstract Background: The significance of intraoperative anesthesia handoffs on patient outcomes are unclear. One aspect differentiating the disparate results is the treatment of confounding factors, such as patient comorbidities and surgery time of day. We performed this study to quantify the significance of confounding variables on composite adverse events during intraoperative anesthesia handoffs. Methods: In this retrospective study, we analyzed data from the American College of Surgeons National Surgical Quality Improvement Project (ACS NSQIP). We examined the effects of intraoperative handoffs between anesthesia personnel. A total of 12,111 cases performed examined at two hospitals operated by a single healthcare system that were that included in the ACS NSQIP database performed. The presence of attending and anesthetist or resident handoffs, patient age, sex, body mass index, American Society of Anesthesiologists Physical Status (ASA-PS) classification, case length, surgical case complexity, and evening/weekend start time were measured. Results: A total of 2,586 of all cases in the NSQIP dataset experienced a handoff during the case. When analyzed as a single variable, attending handoffs were associated with higher rates of adverse outcomes. However, once confounding variables were added into the analysis, attending handoffs and complete care transitions were no longer statistically significant. Conclusions: Inclusion of significant covariates is essential to fully understanding the impact provider handoffs have on patient outcomes. Case timing and lengthy case duration are more likely to result in both a handoff and an adverse event. The impact of handoffs on patient outcomes seen in the literature are likely due, in part, to how covariates were addressed.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Vikas N. O’Reilly-Shah ◽  
Victoria G. Melanson ◽  
Cinnamon L. Sullivan ◽  
Craig S. Jabaley ◽  
Grant C. Lynde

Abstract Background The significance of intraoperative anesthesia handoffs on patient outcomes are unclear. One aspect differentiating the disparate results is the treatment of confounding factors, such as patient comorbidities and surgery time of day. We performed this study to quantify the significance of confounding variables on composite adverse events during intraoperative anesthesia handoffs. Methods In this retrospective study, we analyzed data from the American College of Surgeons National Surgical Quality Improvement Project (ACS NSQIP). We examined the effects of intraoperative handoffs between anesthesia personnel. A total of 12,111 cases performed examined at two hospitals operated by a single healthcare system that were that included in the ACS NSQIP database performed. The presence of attending and anesthetist or resident handoffs, patient age, sex, body mass index, American Society of Anesthesiologists Physical Status (ASA-PS) classification, case length, surgical case complexity, and evening/weekend start time were measured. Results A total of 2586 of all cases in the NSQIP dataset experienced a handoff during the case. When analyzed as a single variable, attending handoffs were associated with higher rates of adverse outcomes. However, once confounding variables were added into the analysis, attending handoffs and complete care transitions were no longer statistically significant. Conclusions Inclusion of significant covariates is essential to fully understanding the impact provider handoffs have on patient outcomes. Case timing and lengthy case duration are more likely to result in both a handoff and an adverse event. The impact of handoffs on patient outcomes seen in the literature are likely due, in part, to how covariates were addressed.


2019 ◽  
Author(s):  
Vikas N O'Reilly-Shah ◽  
Victoria G Melanson ◽  
Cinnamon L Sullivan ◽  
Craig S Jabaley ◽  
Grant C Lynde

Abstract Background: The significance of intraoperative anesthesia handoffs on patient outcomes are unclear. One aspect differentiating the disparate results is the treatment of confounding factors, such as patient comorbidities and surgery time of day. We performed this study to quantify the significance of confounding variables on composite adverse events during intraoperative anesthesia handoffs. Methods: In this retrospective study, we analyzed data from the American College of Surgeons National Surgical Quality Improvement Project (ACS NSQIP). We examined the effects of intraoperative handoffs between anesthesia personnel. A total of 12,111 cases performed examined at two hospitals operated by a single healthcare system that were that included in the ACS NSQIP database performed. The presence of attending and anesthetist or resident handoffs, patient age, sex, body mass index, American Society of Anesthesiologists Physical Status (ASA-PS) classification, case length, surgical case complexity, and evening/weekend start time were measured. Results: A total of 2,586 of all cases in the NSQIP dataset experienced a handoff during the case. When analyzed as a single variable, attending handoffs were associated with higher rates of adverse outcomes. However, once confounding variables were added into the analysis, attending handoffs and complete care transitions were no longer statistically significant. Conclusions: Inclusion of significant covariates is essential to fully understanding the impact provider handoffs have on patient outcomes. Case timing and lengthy case duration are more likely to result in both a handoff and an adverse event. The impact of handoffs on patient outcomes seen in the literature are likely due, in part, to how covariates were addressed.


2019 ◽  
Author(s):  
Vikas N O'Reilly-Shah ◽  
Victoria G Melanson ◽  
Cinnamon L Sullivan ◽  
Craig S Jabaley ◽  
Grant C Lynde

Abstract Background: The significance of intraoperative anesthesia handoffs on patient outcomes are unclear. While clearly an opportunity for inadequate communication, resulting in lapses of care, the literature has displayed mixed results. One possibility for this is inadequate treatment of confounding factors, such as patient comorbidities and surgery time of day. We performed this study to quantify the significance of confounding variables on composite adverse events during intraoperative anesthesia handoffs. Methods: In this retrospective study, we analyzed data from the American College of Surgeons National Surgical Quality Improvement Project (ACS NSQIP). We examined the effects of intraoperative handoffs between anesthesia personnel. A total of 12,111 cases performed examined at two hospitals in a single healthcare system that were that included in the ACS NSQIP database performed. The presence of attending and anesthetist or resident handoffs, patient age, sex, body mass index, American Society of Anesthesiologists Physical Status (ASA-PS) classification, case length, surgical case complexity, and evening/weekend start time were measured. Results: A total of 2,586 of all cases in the NSQIP dataset experienced a handoff during the case. When analyzed as a single variable, attending handoffs were associated with higher rates of adverse outcomes. However, once confounding variables were added into the analysis, attending handoffs and complete care transitions were no longer statistically significant. Conclusions: Inclusion of significant covariates is essential to fully understanding the impact provider handoffs have on patient outcomes. Case timing and lengthy case duration are more likely to result in both a handoff and an adverse event. Communication lapses during intraoperative handoffs are a potential source of medical error, the effects of which are difficult to quantify.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Ann Smith ◽  
Kathleen Bledsoe ◽  
Thomas Madden ◽  
Jamie Artale ◽  
Ted Sindlinger

Introduction: The utility of pharmacist-managed collaborative practice agreements (CPA) in the management of hypertension is well established in the outpatient setting. There has been little evaluation of the use of CPAs in the inpatient acute care setting, and none described specifically in the vascular neurology population. Treatment of hypertension is a critical intervention for the secondary prevention of acute ischemic stroke. This quality improvement project evaluated the implementation of a CPA for the inpatient acute care management of hypertension in vascular neurology patients at University of Virginia Health. Methods: A CPA was developed between the neurosciences clinical pharmacist group and the inpatient vascular neurology service, legally vetted, and implemented in June 2019. All vascular neurology patient charts in which an electronic CPA referral was placed from June 2019 through June 2020 were reviewed. Patients were excluded if they were discharged within 24 hours of the referral being placed. The primary objective was to describe and evaluate the implementation of a pharmacist-driven hypertension management practice in the inpatient acute care setting. All patient demographic and clinical data were analyzed using descriptive statistics. Secondary safety outcomes included documented hypotensive events (SBP <90) and acute kidney injury (AKI, increase in SCr by 0.3 mg/dl within 48 hours). Results: During the study period, 26 referrals were placed, and 19 patients were included for review. On average, patients were on 2 anti-hypertensive medications prior to admission. From the time of referral to discharge (mean 6 days), systolic blood pressure (SBP) was reduced on average by 36 mmHg (mean percentage reduction 20%) and diastolic blood pressure (DBP) by 12 mmHg (mean percentage reduction 7%). Ten patients (53%) met the goal of SBP < 140 at discharge. There were 5 hypotensive events and 4 instances of AKI, all of which were mild and recovered prior to discharge. Conclusion: A pharmacist-managed hypertension CPA was successfully implemented in vascular neurology patients in the inpatient acute care setting. The practice demonstrated improved blood pressure control and minimal adverse outcomes.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Nicolle W Davis ◽  
Meghan Bailey ◽  
Natalie Buchwald ◽  
Amreen Farooqui ◽  
Anna Khanna

Background/Objective: There is growing importance on discovering factors that delay time to intervention for acute ischemic stroke (AIS) patients, as rapid intervention remains essential for better patient outcomes. The management of these patients involves a multidisciplinary effort and quality improvement initiatives to safely increase treatment with intravenous thrombolytic (IV tPa). The objective of this pilot is to evaluate factors of acute stroke care in the emergency department (ED) and the impact they have on IV tPa administration. Methods: A sample of 89 acute ischemic stroke patients that received IV tPa from a single academic medical institution was selected for retrospective analysis. System characteristics (presence of a stroke nurse and time of day) and patient characteristics (mode of arrival and National Institutes of Health Stroke Scale score (NIHSS) on arrival) were analyzed using descriptive statistics and multiple regression to address the study question. Results: The mean door to needle time is 53.74 minutes ( + 38.06) with 74.2% of patients arriving to the ED via emergency medical services (EMS) and 25.8% having a stroke nurse present during IV tPa administration. Mode of arrival ( p = .001) and having a stroke nurse present ( p = .022) are significant predictors of door to needle time in the emergency department (ED). Conclusion: While many factors can influence door to needle times in the ED, we did not find NIHSS on arrival or time of day to be significant factors. Patients arriving to the ED by personal vehicle will have a significant delay in IV tPa administration, therefore emphasizing the importance of using EMS. Perhaps more importantly, collaborative efforts including the addition of a specialized stroke nurse significantly decreased time to IV tPa administration for AIS patients. With this dedicated role, accelerated triage and more effective management of AIS patients is accomplished, leading to decreased intervention times and potentially improving patient outcomes.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Soojin Lee ◽  
Yeonhee Lee ◽  
Sehoon Park ◽  
Kyungdo Han ◽  
Yaerim Kim ◽  
...  

Abstract Background and Aims Linear decline of glomerular filtration rate (GFR) is associated with aggravating the patient outcomes. Serum creatinine, which is commonly used for estimating GFR, often fluctuates throughout the serial measurement. The clinical significance of creatinine fluctuation among the general population whose renal function is prior to chronic kidney disease (CKD) development had not been demonstrated yet. Thus, we investigated the study to evaluate the impact of creatinine variability on patient outcomes. Method A nationwide retrospective cohort study was performed usaing the database of Korean National Health Insurance System. Adult patients who received national health screening program and measured creatinine for ≥3 times between 2012 and 2016 were considered. Those who previously developed CKD were excluded. The variability of creatinine values were presented with variability independent of mean (VIM). The patients were classified into quartiles of the VIM and Q4 presented highest variability of creatinine. Then, the risks of myocardial infarction (MI), stroke and death were assessed according to the extent of variability. Results During the median follow up of 3.27 years, 3,509,899 participants were examined for association of creatinine variability and cardiovascular outcomes. Participants with higher creatinine variability were significantly associated with elevated risk of MI (hazard ratio (HR) (95% confidence interval (95% CI)) 1.11 (1.04-1.18), stroke (HR (95%CI) 1.06 (1.00-1.13)) and death (HR (95%CI) 1.15 (1.09-1.21)), compared to those with the lowest quartile of creatinine variability. Conclusion Increased creatinine variability exhibited association with elevated risk of MI, stroke and death. In general population, whose renal function is prior to CKD development, monitoring of creatinine variability needs to be considered as the parameter of predicting the adverse outcomes, in addition to the decline of GFR.


2016 ◽  
Vol 12 (5) ◽  
pp. e594-e602 ◽  
Author(s):  
Alberto J. Montero ◽  
James Stevenson ◽  
Amy E. Guthrie ◽  
Carolyn Best ◽  
Lindsey Martin Goodman ◽  
...  

Purpose: Reducing 30-day unplanned hospital readmissions is a national policy priority. We examined the impact of a quality improvement project focused on reducing oncology readmissions among patients with cancer who were admitted to palliative and general medical oncology services at the Cleveland Clinic. Methods: Baseline rates of readmissions were gathered during the period from January 2013 to April 2014. A quality improvement project designed to improve outpatient care transitions was initiated during the period leading to April 1, 2014, including: (1) provider education, (2) postdischarge nursing phone calls within 48 hours, and (3) postdischarge provider follow-up appointments within 5 business days. Nursing callback components included symptom management, education, medication review/compliance, and follow-up appointment reminder. Results: During the baseline period, there were 2,638 admissions and 722 unplanned 30-day readmissions for an overall readmission rate of 27.4%. Callbacks and 5-day follow-up appointment monitoring revealed a mean monthly compliance of 72% and 78%, respectively, improving over time during the study period. Readmission rates declined by 4.5% to 22.9% (P < .01; relative risk reduction, 18%) during the study period. The mean direct cost of one readmission was $10,884, suggesting an annualized cost savings of $1.04 million with the observed reduction in unplanned readmissions. Conclusion: Modest readmission reductions can be achieved through better systematic transitions to outpatient care (including follow-up calls and early provider visits), thereby leading to a reduction in use of inpatient resources. These data suggest that efforts focused on improving outpatient care transition were effective in reducing unplanned oncology readmissions.


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