Association Between Handover of Anesthesia Care and Adverse Postoperative Outcomes Among Patients Undergoing Major Surgery

Timing of Intraoperative Transitions of Care Among Anesthesiologists Is Not Associated With Postoperative Adverse Outcomes: Retrospective Cohort Study

BACKGROUND

The majority of published research suggests that anesthesia handovers during major surgical procedures are associated with unintended harmful consequences. It is still unclear if the number or quality of the transition of care is the main driver of the adverse outcomes. There is even less data if the timing of the anesthesiologist handovers during the critical portion of the anesthetic continuum (induction or emergence versus surgical period) plays a role in patient outcomes. Therefore, we investigated if the anesthesiologist handovers during induction and emergence are associated with adverse patient outcomes.

METHODS

This retrospective investigation included noncardiac surgical procedures occurring between January 1, 2012 and December 31, 2019 that had exactly 1 attending anesthesiologist handover. We categorized transitions of care between attending anesthesiologists as being before incision, between incision and closing, and after closing. Our primary outcome was a composite of 6 categories of surgical complications and in-hospital mortality. We created logistic generalized estimating equation models to estimate the average relative effect odds ratio between each pair of the 3 transition timing groups across the components of the composite outcome. Inverse probability of treatment weights were used to mitigate confounding on a host of baseline variables. We used Bonferroni correction to adjust for multiple comparisons between the transition groups.

RESULTS

In total, we studied 36,937 procedures with exactly 1 attending anesthesiologist handover. Of these records, 4370 had the transition during induction, 24,999 between incision and closure, and 7568 during emergence. No differences were found between the transition periods and the composite outcome. The estimated average relative effect odds ratio (98.3% confidence interval [CI]) across the components of the composite outcome was as follows: (1.0002 [0.81-1.24], P = .99) between the induction and surgical period; (1.10 [0.87-1.40], P = .32) between the induction and emergence periods; and (0.91 [0.79-1.04], P = .08) between the emergence and surgical periods.

CONCLUSIONS

Timing of intraoperative handover among attending anesthesiologists during noncardiac surgery is not associated with adverse patient outcomes.

The movement of syringes and medication during anesthesiology delivery: An observational study in laparoscopic surgeries

The movements of syringes and medications during an anesthetic case have yet to be systematically documented. We examine how syringes and medication move through the anesthesia work area during a case. We conducted a video-based observational study of 14 laparoscopic surgeries. We defined 'syringe events' as when syringe was picked up and moved. Medications were administered to the patient in only 48 (23.6%) of the 203 medication or syringe events. On average, 14.5 syringe movements occurred in each case. We estimate approximately 4.2 syringe movements for each medication administration. When a medication was administered to the patient (either through the IV pump or the patient port), it was picked up from one of 8 locations in the work area. Our study suggests that the syringe storage locations vary and include irregular locations (e.g., patient bed or provider's pockets). Our study contributes to understanding the complexity in the anesthesia work practices.

Association of anaesthesia provider sex with perioperative complications: a two-centre retrospective cohort study

BACKGROUND

Previous studies suggested that surgeon sex is associated with differential patient outcomes. Whether this also applies to anaesthesia providers is unclear. We hypothesised that female sex of the primary anaesthesia provider is associated with lower risk of perioperative complications.

METHODS

The first case for all adult patients undergoing anaesthesia care between 2008 and 2022 at two academic healthcare networks in the USA was included in this retrospective cohort study. The primary exposure was the sex of the anaesthesia provider who spent the most time in the operating theatre during the case. The primary outcome was intraoperative complications, defined as hypotension (mean arterial blood pressure <55 mm Hg for ≥5 cumulative minutes) or hypoxaemia (oxygen saturation <90% for >2 consecutive minutes). The co-primary outcome was 30-day adverse postoperative events (including complications, readmission, and mortality). Analyses were adjusted for a priori defined confounders.

RESULTS

Among 364,429 included patients, 57,550 (15.8%) experienced intraoperative complications and 55,168 (15.1%) experienced adverse postoperative events. Care by female compared with male anaesthesia providers was associated with lower risk of intraoperative complications (adjusted odds ratio [aOR] 0.95, 95% confidence interval [CI] 0.94-0.97, P<0.001), which was magnified among non-trainees (aOR 0.84, 95% CI 0.82-0.87, P-for-interaction <0.001). Anaesthesia provider sex was not associated with the composite of adverse postoperative events (aOR 1.00, 95% CI 0.98-1.02, P=0.88).

CONCLUSIONS

Care by a female anaesthesia provider was associated with a lower risk of intraoperative complications, which was magnified among non-trainees. Future studies should investigate underlying mechanisms.

Patient and Operational Factors Do Not Substantively Affect the Annual Departmental Quality of Anesthesiologists' Clinical Supervision and Nurse Anesthetists' Work Habits

INTRODUCTION

Although safety climate, teamwork, and other non-technical skills in operating rooms probably influence clinical outcomes, direct associations have not been shown, at least partially due to sample size considerations. We report data from a retrospective cohort of anesthesia evaluations that can simplify the design of prospective observational studies in this area. Associations between non-technical skills in anesthesia, specifically anesthesiologists' quality of clinical supervision and nurse anesthetists' work habits, and patient and operational factors were examined.

METHODS

Eight fiscal years of evaluations and surgical cases from one hospital were included. Clinical supervision by anesthesiologists was evaluated daily using a nine-item scale. Work habits of nurse anesthetists were evaluated daily using a six-item scale. The dependent variables for both groups of staff were binary, whether all items were given the maximum score or not. Associations were tested with patient and operational variables for the entire day.

RESULTS

There were 40,718 evaluations of faculty anesthesiologists by trainees, 53,772 evaluations of nurse anesthetists by anesthesiologists, and 296,449 cases that raters and ratees started together. Cohen's d values were small (≤0.10) for all independent variables, suggesting a lack of any clinically meaningful association between patient and operational factors and evaluations given the maximum scores. For supervision quality, the day's count of orthopedic cases was a significant predictor of scores (P = 0.0011). However, the resulting absolute marginal change in the percentage of supervision scores equal to the maximum was only 0.8% (99% confidence interval: 0.2% to 1.4%), i.e., too small to be of clinical or managerial importance. Neurosurgical cases may have been a significant predictor of work habits (P = 0.0054). However, the resulting marginal change in the percentage of work habits scores equal to the maximum, an increase of 0.8% (99% confidence interval: 0.1% to 1.6%), which was again too small to be important.

CONCLUSIONS

When evaluating the effect of assigning anesthesiologists and nurse anesthetists with different clinical performance quality on clinical outcomes, supervision quality and work habits scores may be included as independent variables without concern that their effects are confounded by association with the patient or case characteristics. Clinical supervision and work habits are measures of non-technical skills. Hence, these findings suggest that non-technical performance can be judged by observing the typical small sample size of cases. Then, associations can be tested with administrative data for a far greater number of patients because there is unlikely to be a confounding association between patient and case characteristics and the clinicians' non-technical performance.

A Quality Improvement Initiative to Reduce Adverse Effects of Transitions of Anesthesia Care on Postoperative Outcomes: A Retrospective Cohort Study

BACKGROUND

An intraoperative transfer of care from one anesthesia provider to another, or handover, may result in information loss and contribute to adverse patient outcomes. In 2019 the authors undertook a quality improvement effort to increase the use of a structured intraoperative handover tool incorporated in the electronic medical record. The authors hypothesized that intraoperative handovers of anesthesia care would be associated with adverse patient outcomes, and that increased use of a structured tool would attenuate this effect.

METHODS

This study included adult patients undergoing noncardiac surgery of at least 1 h duration performed during the period 2016 to 2021. Cases with a handover were identified if either there was a change of attending anesthesiologist or change of nurse anesthetist or resident for more than 35 min. The primary outcome was the occurrence of a composite of postoperative mortality and major postoperative morbidity. The effect of the intervention was analyzed by examining the quarterly change in odds ratio for the primary outcome for cases with and without a handover.

RESULTS

A total of 121,077 cases, 40.4% of which had a handover, were included. After weighting, the composite outcome was statistically associated with handovers (3,517 of 48,986 [7.2%] in handover cases vs. 4,470 of 72,091 [6.2%] in nonhandover cases; odds ratio, 1.08; 95% CI, 1.04 to 1.12). Time series analysis showed a marked increase in usage of the structured tool after the initial intervention. The odds ratio for the composite outcome showed a significant decrease over time after the initial intervention (t = -3.97; P < 0.001), with the slope of the odds ratio versus time curve decreasing from 0.002 (95% CI, 0.001 to 0.004; P = 0.018) to -0.011 (95% CI, -0.01 to -0.018; P < 0.001).

CONCLUSIONS

Intraoperative handovers are significantly associated with adverse outcomes even after controlling for multiple confounding variables. Use of a structured handover tool during anesthesia care may attenuate the adverse effect.

EDITOR’S PERSPECTIVE

A Qualitative Study of the Work Systems and Culture Around End-of-Day Intraoperative Anesthesia Handoffs in a Tertiary Care Center

BACKGROUND

Intraoperative handoffs have been implicated as a contributing factor in many perioperative adverse events. Despite conflicting data around their impact on perioperative outcomes, they remain a vulnerable point in the perioperative system with significant attention focused on improving them. This study aimed to understand the processes in place surrounding the point of information transfer in intraoperative handoffs.

METHODS

We used semistructured interviews with anesthesia clinicians to understand the processes and systems surrounding intraoperative handoffs. Interview data were coded deductively using the Systems Engineering Initiative for Patient Safety model as a framework, with subthemes developed inductively.

RESULTS

Clinicians do a significant amount of work before and after the point of information transfer to ensure a smooth handoff and safe patient care. Despite not having standardization of handoffs, most clinicians have a typical handoff organization and largely agree on content that should be included. However, there is variability based on clinician and patient characteristics, including clinician discipline and patient acuity. These handoffs are additionally impacted by the overall culture in the operating room, including the teamwork and hierarchies present among the surgical and anesthesia teams. Finally, the broader operating room logistics, including scheduling practices for surgical cases and anesthesia teams, impact the quality of intraoperative handoffs and the ability of clinicians to prepare for these handoffs.

CONCLUSIONS

Handoffs involve processes beyond the point of information transfer and are embedded in the systems and culture of the operating rooms. These considerations are important when seeking to improve the quality of intraoperative handoffs.

Malnutrition risk, outcomes, and costs among older adults undergoing elective surgical procedures: A retrospective cohort study

BACKGROUND

We examine here the association between malnutrition risk and adverse health outcomes among older adult patients undergoing elective surgical procedures.

METHODS

We conducted a retrospective study using linked clinical and administrative databases. Malnutrition risk was assessed prior to surgery, defined by unintentional weight loss and decreased food intake. We performed a logistic regression analysis of the primary outcome, a composite adverse outcome measure, including death, bleeding, pneumonia, and other surgical complications. We conducted Fine-Gray proportional hazard regression analysis of hospital length of stay (LOS). We performed a generalized linear regression analysis of in-hospital cost data. All regression analyses controlled for frailty, age, sex, surgical category, and comorbidities.

RESULTS

Of a total of 3457 older adult elective surgical patients (65-102 years), 310 (9.0%) screened positive for malnutrition risk. In multivariable regression analyses, malnutrition risk was associated with an increased risk of the composite adverse outcome (odds ratio [OR] = 1.74; 95% CI = 1.25-2.39), higher hospitalization costs (relative cost = 1.84; 95% CI = 1.59-2.13), and a decreased risk of discharge from the hospital (hazard ratio = 0.67; 95% CI = 0.59-0.77) compared with those who screened negative.

CONCLUSION

Older adult patients with malnutrition risk were at an increased risk of adverse surgical outcomes, had longer LOS in the hospital, and incurred higher costs of care. It is important to screen for malnutrition risk and refer older adults for dietetic consults prior to elective surgery.

The Association Between Hospital High-volume Anesthesiology Care and Patient Outcomes for Complex Gastrointestinal Cancer Surgery: A Population-based Study

OBJECTIVE

To examine the association of between hospital rates of high-volume anesthesiology care and of postoperative major morbidity.

BACKGROUND

Individual anesthesiology volume has been associated with individual patient outcomes for complex gastrointestinal cancer surgery. However, whether hospital-level anesthesiology care, where changes can be made, influences the outcomes of patients cared at this hospital is unknown.

METHODS

We conducted a population-based retrospective cohort study of adults undergoing esophagectomy, pancreatectomy, or hepatectomy for cancer from 2007 to 2018. The exposure was hospital-level adjusted rate of high-volume anesthesiology care. The outcome was hospital-level adjusted rate of 90-day major morbidity (Clavien-Dindo grade 3-5). Scatterplots visualized the relationship between each hospital's adjusted rates of high-volume anesthesiology and major morbidity. Analyses at the hospital-year level examined the association with multivariable Poisson regression.

RESULTS

For 7893 patients at 17 hospitals, the rates of high-volume anesthesiology varied from 0% to 87.6%, and of major morbidity from 38.2% to 45.4%. The scatter plot revealed a weak inverse relationship between hospital rates of high-volume anesthesiology and of major morbidity (Pearson: -0.23). The adjusted hospital rate of high-volume anesthesiology was independently associated with the adjusted hospital rate of major morbidity (rate ratio: 0.96; 95% CI, 0.95-0.98; P <0.001 for each 10% increase in the high-volume rate).

CONCLUSIONS

Hospitals that provided high-volume anesthesiology care to a higher proportion of patients were associated with lower rates of 90-day major morbidity. For each additional 10% patients receiving care by a high-volume anesthesiologist at a given hospital, there was an associated reduction of 4% in that hospital's rate of major morbidity.

Loss of Independent Living in Patients Undergoing Transcatheter or Surgical Aortic Valve Replacement: A Retrospective Cohort Study

BACKGROUND

The recommendation for transcatheter aortic valve replacement (TAVR) or surgical aortic valve replacement (SAVR) in patients 65 to 80 years of age is equivocal, leaving patients with a difficult decision. We evaluated whether TAVR compared to SAVR is associated with reduced odds for loss of independent living in patients ≤65, 66 to 79, and ≥80 years of age. Further, we explored mechanisms of the association of TAVR and adverse discharge.

METHODS

Adult patients undergoing TAVR or SAVR within a large academic medical system who lived independently before the procedure were included. A multivariable logistic regression model, adjusting for a priori defined confounders including patient demographics, preoperative comorbidities, and a risk score for adverse discharge after cardiac surgery, was used to assess the primary association. We tested the interaction of patient age with the association between aortic valve replacement (AVR) procedure and loss of independent living. We further assessed whether the primary association was mediated (ie, percentage of the association that can be attributed to the mediator) by the procedural duration as prespecified mediator.

RESULTS

A total of 1751 patients (age median [quartiles; min-max], 76 [67, 84; 23-100]; sex, 56% female) were included. A total of 27% (222/812) of these patients undergoing SAVR and 20% (188/939) undergoing TAVR lost the ability to live independently. In our cohort, TAVR was associated with reduced odds for loss of independent living compared to SAVR (adjusted odds ratio [OR adj ] 0.19 [95% confidence interval {CI}, 0.14-0.26]; P < .001). This association was attenuated in patients ≤65 years of age (OR adj 0.63 [0.26-1.56]; P = .32) and between 66 and 79 years of age (OR adj 0.23 [0.15-0.35]; P < .001), and magnified in patients ≥80 years of age (OR adj 0.16 [0.10-0.25]; P < .001; P -for-interaction = .004). Among those >65 years of age, a shorter procedural duration mediated 50% (95% CI, 28-76; P < .001) of the beneficial association of TAVR and independent living.

CONCLUSIONS

Patients >65 years of age undergoing TAVR compared to SAVR had reduced odds for loss of independent living. This association was partly mediated by shorter procedural duration. No association between AVR approach and the primary end point was found in patients ≤65 years of age.

Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors

Acute kidney injury (AKI) is a major postoperative complication that lacks established intraoperative predictors. Our objective was to develop a prediction model using preoperative and high-frequency intraoperative data for postoperative AKI. In this retrospective cohort study, we evaluated 77,428 operative cases at a single academic center between 2016 and 2022. A total of 11,212 cases with serum creatinine (sCr) data were included in the analysis. Then, 8519 cases were randomly assigned to the training set and the remainder to the validation set. Fourteen preoperative and twenty intraoperative variables were evaluated using elastic net followed by hierarchical group least absolute shrinkage and selection operator (LASSO) regression. The training set was 56% male and had a median [IQR] age of 62 (51-72) and a 6% AKI rate. Retained model variables were preoperative sCr values, the number of minutes meeting cutoffs for urine output, heart rate, perfusion index intraoperatively, and the total estimated blood loss. The area under the receiver operator characteristic curve was 0.81 (95% CI, 0.77-0.85). At a score threshold of 0.767, specificity was 77% and sensitivity was 74%. A web application that calculates the model score is available online. Our findings demonstrate the utility of intraoperative time series data for prediction problems, including a new potential use of the perfusion index. Further research is needed to evaluate the model in clinical settings.

Perceived Quality of Postoperative Handover by Saudi Nurses: A Single-Center Cross-Sectional Study

BACKGROUND

 Handover is considered a basic nursing practice in which a patient's care information is moved to another nurse. Handover of patients after surgery is critical due to a number of care transitions, the presence of a surgical procedure, and the influence of anesthesia. High-quality postoperative handover is essential to safe patient care. Few studies have been conducted to evaluate the quality of current postoperative handover practices and the factors contributing to the quality of such processes, especially in Saudi Arabia.

AIM

 The present research aimed at evaluating nurses' perceptions of postoperative handover quality and assessing factors impacting this process. This cross-sectional study targeted registered nurses with at least one year of professional experience who were actively involved in the conduction of postoperative handovers across various surgical departments. A total sample of 143 nurses was selected via a convenient sampling technique. Study instruments included Handover Quality Rating Form, patient status, and nurses' background characteristics.

RESULTS

 Overall, postoperative handover quality was perceived as high by handing over and receiving nurses. Generally, 55.2% of nurses agreed on the different items supporting the positive circumstance for handover, and 92.3% agreed on the good conduct of handover compared to only 7.69% disagreement (p˂0.001). Significant agreements were observed for teamworking (p˂0.001), as well as four indicators (out of five) measuring the overall handover quality (p<0.001). The type of involved departments impacted significantly the handover quality perception (p=0.004). The respondents' age had a significant effect on quality (p=0.036), as well as circumstances of postoperative handover (p=0.046). Moreover, significant statistical differences were found for the circumstance of handover (p=0.031), as well as teamwork (p=0.019) according to the nurses' roles. Finally, the patient's blood circulation and respiration had a significant effect (p=0.023, p=0.033, respectively), as did the patient's level of consciousness (p=0.006) in the nurses' perception of the overall postoperative handover quality.

CONCLUSION

 Postoperative handover quality was highly perceived by nurses. This research explored a multitude of factors such as patient health status and nurses' socio-demographic variables and their impact on nurses' perception of handover quality. Several nurse and patient-related factors were found to impact the handover process. This current research provided findings that could direct future improvements in nursing handover practice to ensure high-quality patient care.

Association Between Intraoperative Dexamethasone and Postoperative Mortality in Patients Undergoing Oncologic Surgery: A Multicentric Cohort Study

OBJECTIVE

We examined the effects of dexamethasone on postoperative mortality, recurrence-free survival, and side effects in patients undergoing oncologic operations.

BACKGROUND

Dexamethasone prevents nausea and vomiting after anesthesia and may affect cancer proliferation.

METHODS

A total of 30,561 adult patients undergoing solid cancer resection between 2005 and 2020 were included. Multivariable logistic regression was applied to investigate the effect of dexamethasone on 1-year mortality and recurrence-free survival. Effect modification by the cancer's potential for immunogenicity, defined as a recommendation for checkpoint inhibitor therapy based on the National Comprehensive Cancer Network guidelines, was investigated through interaction term analysis. Key safety endpoints were dexamethasone-associated risk of hyperglycemia >180 mg/dL within 24 hours and surgical site infections within 30 days after surgery.

RESULTS

Dexamethasone was administered to 38.2% (11,666/30,561) of patients (6.5±2.3 mg). Overall, 3.2% (n=980/30,561) died and 15.4% (n=4718/30,561) experienced cancer recurrence within 1 year of the operation. Dexamethasone was associated with a -0.6% (95% confidence interval: -1.1, -0.2, P =0.007) 1-year mortality risk reduction [adjusted odds ratio (OR adj ): 0.79 (0.67, 0.94), P =0.009; hazard ratio=0.82 (0.69, 0.96), P =0.016] and higher odds of recurrence-free survival [OR adj : 1.28 (1.18, 1.39), P <0.001]. This effect was only present in patients with solid cancers who were defined as not to respond to checkpoint inhibitor therapy [OR adj : 0.70 (0.57, 0.87), P =0.001 vs OR adj : 1.13 (0.85, 1.50), P =0.40]. A high (>0.09 mg/kg) dose of dexamethasone increased the risk of postoperative hyperglycemia [OR adj : 1.55 (1.32, 1.82), P <0.001], but not for surgical site infections [OR adj : 0.84 (0.42, 1.71), P =0.63].

CONCLUSIONS

Dexamethasone is associated with decreased 1-year mortality and cancer recurrence in patients undergoing surgical resection of cancers that are not candidates for immune modulators. Dexamethasone increased the risk of postoperative hyperglycemia, however, no increase in surgical site infections was identified.

Year in Review 2022: Noteworthy Literature in Cardiac Anesthesiology

Last year researchers made substantial progress in work relevant to the practice of cardiac anesthesiology. We reviewed 389 articles published in 2022 focused on topics related to clinical practice to identify 16 that will impact the current and future practice of cardiac anesthesiology. We identified 4 broad themes including risk prediction, postoperative outcomes, clinical practice, and technological advances. These articles are representative of the best work in our field in 2022.

Association Between Familiarity of the Surgeon-Anesthesiologist Dyad and Postoperative Patient Outcomes for Complex Gastrointestinal Cancer Surgery

Importance

The surgeon-anesthesiologist teamwork and relationship is crucial to good patient outcomes. Familiarity among work team members is associated with enhanced success in multiple fields but rarely studied in the operating room.

Objective

To examine the association between surgeon-anesthesiologist dyad familiarity-as the number of times working together-with short-term postoperative outcomes for complex gastrointestinal cancer surgery.

Design, Setting, and Participants

This population-based retrospective cohort study based in Ontario, Canada, included adults undergoing esophagectomy, pancreatectomy, and hepatectomy for cancer from 2007 through 2018. The data were analyzed January 1, 2007, through December 21, 2018.

Exposures

Dyad familiarity captured as the annual volume of procedures of interest done by the surgeon-anesthesiologist dyad in the 4 years before the index surgery.

Main Outcomes and Measures

Ninety-day major morbidity (any Clavien-Dindo grade 3 to 5). The association between exposure and outcome was examined using multivariable logistic regression.

Results

Seven thousand eight hundred ninety-three patients with a median age of 65 years (66.3% men) were included. They were cared for by 737 anesthesiologists and 163 surgeons who were also included. The median surgeon-anesthesiologist dyad volume was 1 (range, 0-12.2) procedures per year. Ninety-day major morbidity occurred in 43.0% of patients. There was a linear association between dyad volume and 90-day major morbidity. After adjustment, the annual dyad volume was independently associated with lower odds of 90-day major morbidity, with an odds ratio of 0.95 (95% CI, 0.92-0.98; P = .01) for each incremental procedure per year, per dyad. The results did not change when examining 30-day major morbidity.

Conclusions and Relevance

Among adults undergoing complex gastrointestinal cancer surgery, increasing familiarity of the surgeon-anesthesiologist dyad was associated with improved short-term patient outcomes. For each additional time that a unique surgeon-anesthesiologist dyad worked together, the odds of 90-day major morbidity decreased by 5%. These findings support organizing perioperative care to increase the familiarity of surgeon-anesthesiologist dyads.

Number of Attending Physicians and Accumulated Organ Damage in Patients with Systemic Lupus Erythematosus: LUNA Registry Cross-Sectional Study

INTRODUCTION

Patients with systemic lupus erythematosus (SLE) frequently change attending physicians. The number of changes in attending physicians is related to the accumulated organ damage in patients with diabetes mellitus and inflammatory bowel disease, although similar results are not known for patients with SLE. This study investigated whether the number of attending physicians after the onset of SLE is associated with organ damage.

METHODS

Patients with SLE were enrolled in a multicenter registry of 14 institutions (the Lupus Registry of Nationwide Institutions). Patients with a disease duration of 6 months to 10 years were included. Exposure was defined as the number of attending physicians. The primary outcome was the Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage index (SDI). The secondary outcomes were corticosteroid- and non-corticosteroid-related damage. Multiple logistic regression analysis was used to estimate the association between the number of attending physicians and SDI, adjusting for potential confounders, including age, sex, disease duration, number of hospitalizations due to SLE, disease activity at diagnosis, and emotional health.

RESULTS

Of the 702 patients, 86.5% were women (median age 46 years, interquartile range 35-58). The disease duration was 7.3 years (4.3-11.3), the number of hospitalizations due to SLE was 1 (1-3), the number of attending physicians was 3 (2-4), and SDI was 0 points (0-1). The number of attending physicians was significantly associated with SDI [odds ratio (OR) 1.14, 95% confidence interval (CI) 1.03-1.26]. In the secondary outcome, the number of attending physicians was significantly associated with corticosteroid-related damage (OR 1.22, 95% CI 1.09-1.38). The number of attending physicians was not significantly associated with non-corticosteroid-related damage (OR 1.08, 95% CI 0.99-1.19).

CONCLUSIONS

This study showed that SDI could increase as the number of attending physicians increases. The impact of changing attending physicians warrants greater attention for SLE and other diseases.

An evidence synthesis on perioperative Handoffs: A call for balanced sociotechnical solutions

SIGNIFICANCE

Perioperative handoffs interconnect the preoperative, intraoperative, and postoperative phases underlying surgical care to maintain care continuity -yet are prone to coordination and communication failures.

OBJECTIVE

To synthesize evidence on factors affecting the safety and quality of perioperative handoff conduct and process.

MATERIALS AND METHODS

A search of PubMed, EMBASE, and CINAHL was conducted to include observational, descriptive studies of preoperative, intraoperative, and postoperative handoffs published in English language, peer-reviewed journals. Data analysis was informed by the Systems Engineering Initiative for Patient Safety (SEIPS) framework describing the relationship between the work-system, work processes, and outcomes. Study quality was assessed using the Quality Scoring System.

RESULTS

Twenty-three studies were included. Eighteen studies focused on postoperative handoffs, with one on preoperative, three on intraoperative and only one that looked at preoperative/postoperative handoffs combined. The SEIPS framework elucidated the complex inter-related factors (enablers and barriers) related to perioperative handoff safety. While some studies found that the use of standardized handoff tools and protocols and interdisciplinary teamwork were frequently-reported enablers, other studies identified the lack of structured handoff tools and protocols, poor teamwork and communication, and improper use of documentation tools were top-cited barriers affecting handoff quality. Suggestions to ensure handoff safety and quality included implementing structured handoff checklists and protocols and building interprofessional teamwork competencies for effective communication.

DISCUSSION AND CONCLUSION

Our review highlights an urgency to develop more holistic sociotechnical solutions that can create and sustain a balance between technical innovations in tools and technologies and the non-technical interventions/training needed to improve interpersonal relations and teamwork competencies - taken together, can improve the quality and safety of perioperative handoff practice.

The association of intraoperative low driving pressure ventilation and nonhome discharge: a historical cohort study

PURPOSE

To evaluate whether intraoperative ventilation using lower driving pressure decreases the risk of nonhome discharge.

METHODS

We conducted a historical cohort study of patients aged ≥ 60 yr who were living at home before undergoing elective, noncardiothoracic surgery at two tertiary healthcare networks in Massachusetts between 2007 and 2018. We assessed the association of the median driving pressure during intraoperative mechanical ventilation with nonhome discharge using multivariable logistic regression analysis, adjusted for patient and procedural factors. Contingent on the primary association, we assessed effect modification by patients' baseline risk and mediation by postoperative respiratory failure.

RESULTS

Of 87,407 included patients, 12,584 (14.4%) experienced nonhome discharge. In adjusted analyses, a lower driving pressure was associated with a lower risk of nonhome discharge (adjusted odds ratio [aOR], 0.88; 95% confidence interval [CI], 0.83 to 0.93, per 10 cm H2O decrease; P < 0.001). This association was magnified in patients with a high baseline risk (aOR, 0.77; 95% CI, 0.73 to 0.81, per 10 cm H2O decrease, P-for-interaction < 0.001). The findings were confirmed in 19,518 patients matched for their baseline respiratory system compliance (aOR, 0.90; 95% CI, 0.81 to 1.00; P = 0.04 for low [< 15 cm H2O] vs high [≥ 15 cm H2O] driving pressures). A lower risk of respiratory failure mediated the association of a low driving pressure with nonhome discharge (20.8%; 95% CI, 15.0 to 56.8; P < 0.001).

CONCLUSIONS

Intraoperative ventilation maintaining lower driving pressure was associated with a lower risk of nonhome discharge, which can be partially explained by lowered rates of postoperative respiratory failure. Future randomized controlled trials should target driving pressure as a potential intervention to decrease nonhome discharge.

Automated Emails to Improve Evening Staffing for Anesthesiologists

Scheduling flexibility and predictability to the end of a clinical workday are strategies aimed at addressing physician burnout. A voluntary relief shift was created to increase the pool of anesthesiologists providing end of the day relief. We hypothesized that an automated email reminder would improve the number of evening relief shifts filled and increase the number of anesthesiologists participating in the program. An automated email reminder was implemented, which selectively emailed anesthesiologists without a clinical assignment one day in advance when the voluntary relief shifts were not filled, and anticipated case volume past 4:00 PM was expected to exceed the capacity of the on-call team. After implementation of the automated email reminder, the median number of providers who worked the relief shift on a typical day was 2.6, compared to 1.75 prior to the intervention. After the initial increase in the number of volunteers post-intervention, the trend in the weekly average number of volunteers tended to decrease but remained higher than before the intervention. A total of 22 unique anesthesiologists chose to participate in this program after the intervention. An automated email reminder increased the number of anesthesiologists volunteering for a relief shift. Leveraging automation to match staffing needs with case volume allows for recruitment of additional personnel on the days when volunteers are most needed. Increasing the pool of anesthesiologists available to provide relief is one strategy to improve end of the day predictability and work-life balance.

Safety Outcomes of Direct Discharge Home From ICUs: An Updated Systematic Review and Meta-Analysis (Direct From ICU Sent Home Study)

OBJECTIVE

To evaluate the impact of direct discharge home (DDH) from ICUs compared with ward transfer on safety outcomes of readmissions, emergency department (ED) visits, and mortality.

DATA SOURCES

We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Cumulative Index to Nursing and Allied Health Literature from inception until March 28, 2022.

STUDY SELECTION

Randomized and nonrandomized studies of DDH patients compared with ward transfer were eligible.

DATA EXTRACTION

We screened and extracted studies independently and in duplicate. We assessed risk of bias using the Newcastle-Ottawa Scale for observational studies. A random-effects meta-analysis model and heterogeneity assessment was performed using pooled data (inverse variance) for propensity-matched and unadjusted cohorts. We assessed the overall certainty of evidence for each outcome using the Grading Recommendations Assessment, Development and Evaluation approach.

DATA SYNTHESIS

Of 10,228 citations identified, we included six studies. Of these, three high-quality studies, which enrolled 49,376 patients in propensity-matched cohorts, could be pooled using meta-analysis. For DDH from ICU, compared with ward transfers, there was no difference in the risk of ED visits at 30-day (22.4% vs 22.7%; relative risk [RR], 0.99; 95% CI, 0.95-1.02; p = 0.39; low certainty); hospital readmissions at 30-day (9.8% vs 9.6%; RR, 1.02; 95% CI, 0.91-1.15; p = 0.71; very low-to-low certainty); or 90-day mortality (2.8% vs 2.6%; RR, 1.06; 95% CI, 0.95-1.18; p = 0.29; very low-to-low certainty). There were no important differences in the unmatched cohorts or across subgroup analyses.

CONCLUSIONS

Very low-to-low certainty evidence from observational studies suggests that DDH from ICU may have no difference in safety outcomes compared with ward transfer of selected ICU patients. In the future, this research question could be further examined by randomized control trials to provide higher certainty data.

Impact of dedicated neuro-anesthesia management on clinical outcomes in glioblastoma patients: A single-institution cohort study

BACKGROUND

Glioblastomas are mostly resected under general anesthesia under the supervision of a general anesthesiologist. Currently, it is largely unkown if clinical outcomes of GBM patients can be improved by appointing a neuro-anesthesiologist for their cases. We aimed to evaluate whether the assignment of dedicated neuro-anesthesiologists improves the outcomes of these patients. We also investigated the value of dedicated neuro-oncological surgical teams as an independent variable in both groups.

METHODS

A cohort consisting of 401 GBM patients who had undergone resection was retrospectively investigated. Primary outcomes were postoperative neurological complications, fluid balance, length-of-stay and overall survival. Secondary outcomes were blood loss, anesthesia modality, extent of resection, total admission costs, and duration of surgery.

RESULTS

320 versus 81 patients were operated under the anesthesiological supervision of a general anesthesiologist and a dedicated neuro-anesthesiologist, respectively. Dedicated neuro-anesthesiologists yielded significant superior outcomes in 1) postoperative neurological complications (early: p = 0.002, OR = 2.54; late: p = 0.003, OR = 2.24); 2) fluid balance (p<0.0001); 3) length-of-stay (p = 0.0006) and 4) total admission costs (p = 0.0006). In a subanalysis of the GBM resections performed by an oncological neurosurgeon (n = 231), the assignment of a dedicated neuro-anesthesiologist independently improved postoperative neurological complications (early minor: p = 0.0162; early major: p = 0.00780; late minor: p = 0.00250; late major: p = 0.0364). The assignment of a dedicated neuro-oncological team improved extent of resection additionally (p = 0.0416).

CONCLUSION

GBM resections with anesthesiological supervision of a dedicated neuro-anesthesiologists are associated with improved patient outcomes. Prospective evidence is needed to further investigate the usefulness of the dedicated neuro-anesthesiologist in different settings.

Measurement of Information Transfer During Simulated Sequential Complete Shift-to-Shift Intraoperative Handoffs

Objective

To determine information transfer during simulated shift-to-shift intraoperative anesthesia handoffs and the benefits of using a handoff tool.

Patients and Methods

Anesthesiology residents and faculty participating in simulation-based education in a simulation center on April 6 and 20, 2017, and April 11 and 25, 2019. We used a fixed clinical scenario to compare information transfer in multiple sequential simulated handoff chains conducted from memory or guided by an electronic medical record generated tool. For each handoff, 25 informational elements were assessed on a discrete 0-2 scale generating a possible information retention score of 50. Time to handoff completion and number of clarifications requested by the receiver were also determined.

Results

We assessed 32 handoff chains with up to 4 handoffs per chain. When both groups were combined, the mean information retention score was 31 of 50 (P<.001) for the first clinician and declined by an average of 4 points per handoff (P<.001). The handoff tool improved information retention by almost 7 points (P=.002), but did not affect the rate of information degradation (P=.38). Handoff time remained constant for the intervention group (P=.67), but declined by 2 minutes/handoff (P<.001) in the control group, which required 7 more clarifications/handoff (P=.003). In the control group, 7 of 16 (44%) handoff chains contained one or more information retention scores below the lowest score of the entire intervention group (P=.007).

Conclusion

Clinical handoffs are accompanied by degradation of information that is only partially reduced by use of a handoff tool, which appears to prevent extremes of information degradation.

Dedicated teams to optimize quality and safety of surgery: A systematic review

Background

A dedicated operating team is defined as a surgical team consisting of the same group of people working together over time, optimally attuned in both technical and/or communicative aspects. This can be achieved through technical and/or communicative training in a team setting. A dedicated surgical team may contribute to the optimization of healthcare quality and patient safety within the perioperative period.

Method

A systematic review was conducted to evaluate the effects of a dedicated surgical team on clinical and performance outcomes. MEDLINE and Embase were searched on 23 June 2022. Both randomized controlled trials (RCTs) and non-randomized studies (NRSs) were included. Primary outcomes were mortality, complications and readmissions. Secondary outcomes were costs and performance measures.

Results

Fourteen studies were included (RCTs n = 1; NRSs n = 13). Implementation of dedicated operating teams was associated with improvements in mortality, turnover time, teamwork, communication and costs. No significant differences were observed in readmission rates and length of hospital stay. Results regarding duration, glitch counts and complications of surgery were inconclusive. Limitations include study conduct and heterogeneity between studies.

Conclusions

The institution of surgical teams who followed communicative and/or technical training appeared to have beneficial effects on several clinical outcome measures. Dedicated teams provide a feasible way of improving healthcare quality and patient safety. A dose–response effect of team training was reported, but also a relapse rate, suggesting that repetitive training is of major concern to high-quality patient care. Further studies are needed to confirm these findings, due to limited level of evidence in current literature.

Prospero registration number

CRD42020145288

Effect of Intelligent Medical Data Technology in Postoperative Nursing Care

Surgery is one of the larger wounds in conventional surgery, and patients often experience different pain and postural discomfort after surgery. With the ever-changing standards of medical care and patient care requirements, providing high-quality care to postoperative patients is an important measure to reduce complications and promote rapid recovery. However, in the traditional postsurgical nursing methods, there are often the phenomenon that wrong patients are connected, patient data is messy, and medicines are counted incorrectly, which directly leads to a rapid decline in nursing efficiency. In the context of the rapid development of artificial intelligence and big data, intelligent medical data analysis technology has gradually been integrated into the medical field. This paper analyzes and studies the application effect of intelligent medical data analysis technology in postoperative nursing. It is aimed at changing the traditional postoperative nursing methods and improving nursing efficiency, and it provides important suggestions for the development of postoperative nursing in the new era. Combining big data and Internet of Things technology, this paper builds a smart medical Internet of Things framework and an intelligent postoperative care system and uses machine learning algorithms to preprocess relevant medical data. The final experimental results show that the intelligent medical data analysis technology has a good effect in improving the nursing efficiency after surgery, and the nursing efficiency has increased by 6.9%.

Does standardisation improve post-operative anaesthesia handoffs? Meta-analyses on provider, patient, organisational, and handoff outcomes

Anaesthesia handoffs are associated with negative outcomes (e.g. inappropriate treatments, post-operative complications, and in-hospital mortality). To minimise these adverse outcomes, federal bodies (e.g. Joint Commission) have mandated handoff standardisation. Due to the proliferation of handoff interventions and research, there is a need to meta-analyze anaesthesia handoffs. Therefore, we performed meta-analyses on the provider, patient, organisational, and handoff outcomes related to post-operative anaesthesia handoff protocols. We meta-analysed 41 articles with post-operative anaesthesia handoffs that implemented a standardised handoff protocol. Compared to no standardisation, a standardised post-operative anaesthesia handoff changed provider outcomes with an OR of 4.03 (95% CI 3.20-5.08), patient outcomes with an OR of 1.49 (95% CI 1.32-1.69), organisational outcomes with an OR of 4.25 (95% CI 2.51-7.19), handoff outcomes with an OR of 8.52 (95% CI 7.05-10.31). Our meta-analyses demonstrate that standardised post-operative anaesthesia handoffs altered patient, provider, organisational, and handoff outcomes. Practitioner Summary: We conducted meta-analyses to assess the effects of post-operative anaesthesia handoff standardisation on provider, patient, organisational, and handoff outcomes. Our findings suggest that standardised post-operative anaesthesia handoffs changed all listed outcomes in a positive direction. We discuss the implications of these findings as well as notable limitations in this literature base.

Assessment of postoperative patient handover practice and safety at post anesthesia care unit of Dilla University Referral Hospital, Ethiopia: A cross-sectional study

Introduction

Good handover creates a common understanding of responsibility and patients’ status. To proceed with effective handover process, effective communication between healthcare providers plays a vital role. But, it is commonly observed that there is ineffective communication between health care providers and it increases the risk of medical errors and negatively affects the quality of care, patient outcome and satisfaction. In addition, the transfer of care after surgery to the postanesthesia care unit (PACU) presents special challenges to providers on both the delivering and receiving teams.

Methodology

A descriptive cross-sectional study was conducted at post anesthesia care unit of Dilla University Referral Hospital from October 1 to November 30, 2020. To conduct the study, consecutively selected 208 handovers of patients from operation theatre (OT) to PACU were assessed. A checklist was developed based on a combination of criteria adopted from the Australian Medical Association 2006 and British Doctors Committee 2004. It was pilot tested and changes were made before the actual data collection.

Result

Our study found that the postoperative patient handover practice among professionals was poor (below 50%) in the areas of patients’ full name, age, medical registration number (MRN), ASA class, allergic history, medical history, baseline vital signs, preoperative diagnosis and surgical procedure performed. Our study also found poor postoperative hand overing regarding the intraoperative blood loss 9.6%, intraoperative clinical incidents 5.3%, recovery condition 7.2%, postoperative analgesia plan 18.8%, and post operative antibiotic plan 8.2%. Whereas, type of anesthesia 81.3%, intraoperative vital signs 80.8%, and intraoperative analgesia used 79.8%, intraoperative fluid management 80.8% were among the indicators with >50% completion rate.

Conclusion and recommendation

Our study found a poor practice of patient handover regarding sociodemographic and preoperative profile, anesthesia, surgery and other necessary information. We believe standardizing this process and providing training will improve the quality of postoperative handovers and the safety of patients during this critical period.

•

Good handover creates a common understanding of responsibility and patients' status.

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Postoperative patients are in an at-risk state and require constant vigilance.

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Our study found a poor practice of post operative handover.

•

Providing training regarding postoperative handover may improve the practice.

What are we missing? The quality of intraoperative handover before and after introduction of a checklist

PURPOSE

Intraoperative handovers are common in anesthesia practice and are associated with increased patient morbidity and mortality. Checklists may improve transfer of information during handovers. This before-and-after study sought to examine the effect of a checklist on intraoperative handover. We hypothesized that introducing a handover checklist would improve our primary outcome of completeness of data transfer.

METHODS

From February to August 2016, anesthesia providers (residents, fellows, and consultants) at a single tertiary academic center participated in a handover study. Baseline handovers between anesthesia care providers were videotaped, analyzed, and compared with anesthetic records. An intraoperative handover checklist was then introduced, and handovers completed with it were videotaped. The completeness of handovers was compared between the baseline routine and checklist groups. The primary outcome was completeness of information transfer.

RESULTS

Sixty-seven anesthesia providers participated in the study. Use of the intraoperative handover checklist improved completeness of handover by 6% (95% confidence interval [CI], 2 to 10; P < 0.01). There was no relationship observed between the provider (consultants/fellows vs resident) of the handovers and the degree of completeness (95% CI, 3 to 8; P = 0.33). Complexity had a significant impact on the handover completeness with low or high complexity cases more completely handed over than those of medium complexity both before and after the intervention-a 6% increase for low complexity (95% CI, 1 to 11; P = 0.02) and a 9% increase for high complexity (95% CI, 3 to 14; P < 0.01).

CONCLUSION

Use of a checklist during intraoperative handovers improved completeness of data transfer. Handover checklists should be considered to improve handover completeness.

Effect of Intraoperative Handovers of Anesthesia Care on Mortality, Readmission, or Postoperative Complications Among Adults: The HandiCAP Randomized Clinical Trial

IMPORTANCE

Intraoperative handovers of anesthesia care are common. Handovers might improve care by reducing physician fatigue, but there is also an inherent risk of losing critical information. Large observational analyses report associations between handover of anesthesia care and adverse events, including higher mortality.

OBJECTIVE

To determine the effect of handovers of anesthesia care on postoperative morbidity and mortality.

DESIGN, SETTING, AND PARTICIPANTS

This was a parallel-group, randomized clinical trial conducted in 12 German centers with patients enrolled between June 2019 and June 2021 (final follow-up, July 31, 2021). Eligible participants had an American Society of Anesthesiologists physical status 3 or 4 and were scheduled for major inpatient surgery expected to last at least 2 hours.

INTERVENTIONS

A total of 1817 participants were randomized to receive either a complete handover to receive anesthesia care by another clinician (n = 908) or no handover of anesthesia care (n = 909). None of the participating institutions used a standardized handover protocol.

MAIN OUTCOMES AND MEASURES

The primary outcome was a 30-day composite of all-cause mortality, hospital readmission, or serious postoperative complications. There were 19 secondary outcomes, including the components of the primary composite, along with intensive care unit and hospital lengths of stay.

RESULTS

Among 1817 randomized patients, 1772 (98%; mean age, 66 [SD, 12] years; 997 men [56%]; and 1717 [97%] with an American Society of Anesthesiologists physical status of 3) completed the trial. The median total duration of anesthesia was 267 minutes (IQR, 206-351 minutes), and the median time from start of anesthesia to first handover was 144 minutes in the handover group (IQR, 105-213 minutes). The composite primary outcome occurred in 268 of 891 patients (30%) in the handover group and in 284 of 881 (33%) in the no handover group (absolute risk difference [RD], -2.5%; 95% CI, -6.8% to 1.9%; odds ratio [OR], 0.89; 95% CI, 0.72 to 1.10; P = .27). Nineteen of 889 patients (2.1%) in the handover group and 30 of 873 (3.4%) in the no handover group experienced all-cause 30-day mortality (absolute RD, -1.3%; 95% CI, -2.8% to 0.2%; OR, 0.61; 95% CI, 0.34 to 1.10; P = .11); 115 of 888 (13%) vs 136 of 872 (16%) were readmitted to the hospital (absolute RD, -2.7%; 95% CI, -5.9% to 0.6%; OR, 0.80; 95% CI, 0.61 to 1.05; P = .12); and 195 of 890 (22%) vs 189 of 874 (22%) experienced serious postoperative complications (absolute RD, 0.3%; 95% CI, -3.6% to 4.1%; odds ratio, 1.02; 95% CI, 0.81 to 1.28; P = .91). None of the 19 prespecified secondary end points differed significantly.

CONCLUSIONS AND RELEVANCE

Among adults undergoing extended surgical procedures, there was no significant difference between the patients randomized to receive handover of anesthesia care from one clinician to another, compared with the no handover group, in the composite primary outcome of mortality, readmission, or serious postoperative complications within 30 days.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04016454.

Continuous real-time prediction of surgical case duration using a modular artificial neural network

BACKGROUND

Real-time prediction of surgical duration can inform perioperative decisions and reduce surgical costs. We developed a machine learning approach that continuously incorporates preoperative and intraoperative information for forecasting surgical duration.

METHODS

Preoperative (e.g. procedure name) and intraoperative (e.g. medications and vital signs) variables were retrieved from anaesthetic records of surgeries performed between March 1, 2019 and October 31, 2019. A modular artificial neural network was developed and compared with a Bayesian approach and the scheduled surgical duration. Continuous ranked probability score (CRPS) was used as a measure of time error to assess model accuracy. For evaluating clinical performance, accuracy for each approach was assessed in identifying cases that ran beyond 15:00 (commonly scheduled end of shift), thus identifying opportunities to avoid overtime labour costs.

RESULTS

The analysis included 70 826 cases performed at eight hospitals. The modular artificial neural network had the lowest time error (CRPS: mean=13.8; standard deviation=35.4 min), which was significantly better (mean difference=6.4 min [95% confidence interval: 6.3-6.5]; P<0.001) than the Bayesian approach. The modular artificial neural network also had the highest accuracy in identifying operating theatres that would overrun 15:00 (accuracy at 1 h prior=89%) compared with the Bayesian approach (80%) and a naïve approach using the scheduled duration (78%).

CONCLUSIONS

A real-time neural network model using preoperative and intraoperative data had significantly better performance than a Bayesian approach or scheduled duration, offering opportunities to avoid overtime labour costs and reduce the cost of surgery by providing superior real-time information for perioperative decision support.

Patient Sex and Postoperative Outcomes after Inpatient Intraabdominal Surgery: A Population-based Retrospective Cohort Study

BACKGROUND

Intraabdominal surgeries are frequently performed procedures that lead to a high volume of unplanned readmissions and postoperative complications. Patient sex may be a determinant of adverse outcomes in this population, possibly due to differences in biology or care delivery, but it is understudied. The authors hypothesized that there would be no association between patient sex and the risk of postoperative adverse outcomes in intraabdominal surgery.

METHODS

This retrospective, population-based cohort study involved adult inpatients aged 18 yr or older who underwent intraabdominal surgeries in Ontario, Canada, between April 2009 and March 2016. The authors studied the association of patient sex on the primary composite outcome of all-cause death, hospital readmission, or major postoperative complications, all within 30 postoperative days. Inverse probability of exposure weighting based on propensity scores (computed using demographic characteristics such as rural residence status and median neighborhood income quintile, common comorbidities, and surgery- and hospital-specific characteristics) was used to estimate the adjusted association of sex on outcomes.

RESULTS

The cohort included 215,846 patients (52.3% female). The primary outcome was observed in 24,712 (21.9%) females and 25,486 (24.7%) males (unadjusted risk difference, 2.8% [95% CI, 2.5 to 3.2%]; P < 0.001). After adjustment, the association between the male sex and the primary outcome was not statistically significant (adjusted risk difference, -0.2% [95% CI, -0.5 to 0.2%]; P = 0.378).

CONCLUSIONS

In a large population of intraabdominal surgical patients, there was no differential risk between sexes in the composite outcome of all-cause death, hospital readmission, or major postoperative complications, all within 30 postoperative days.

EDITOR’S PERSPECTIVE

Association Between Handover of Anesthesiology Care and 1-Year Mortality Among Adults Undergoing Cardiac Surgery

Importance

Handovers of anesthesia care from one anesthesiologist to another is an important intraoperative event. Despite its association with adverse events after noncardiac surgery, its impact in the context of cardiac surgery remains unclear.

Objective

To compare the outcomes of patients who were exposed to anesthesia handover vs those who were unexposed to anesthesia handover during cardiac surgery.

Design, Setting, and Participants

This retrospective cohort study in Ontario, Canada, included Ontario residents who were 18 years or older and had undergone coronary artery bypass grafting or aortic, mitral, tricuspid valve, or thoracic aorta surgical procedures between 2008 and 2019. Exclusion criteria were non-Ontario residency status and other concomitant procedures. Statistical analysis was conducted from April 2021 to June 2021, and data collection occurred between November 2020 to January 2021.

Exposures

Complete handover of anesthesia care, where the case is completed by the replacement anesthesiologist.

Main Outcomes and Measures

The coprimary outcomes were mortality within 30 days and 1 year after surgery. Secondary outcomes were patient-defined adverse cardiac and noncardiac events (PACE), intensive care unit (ICU), and hospital lengths of stay (LOS). Inverse probability of treatment weighting based on the propensity score was used to estimate adjusted effect measures. Mortality was assessed using a Cox proportional hazard model, PACE using a cause-specific hazard model with death as a competing risk, and LOS using Poisson regression.

Results

Of the 102 156 patients in the cohort, 25 207 (24.7%) were women; the mean (SD) age was 66.4 (10.8) years; and 72 843 of surgical procedures (71.3%) were performed in teaching hospitals. Handover occurred in 1926 patients (1.9%) and was associated with higher risks of 30-day mortality (hazard ratio [HR], 1.89; 95% CI, 1.41-2.54) and 1-year mortality (HR, 1.66; 95% CI, 1.31-2.12), as well as longer ICU (risk ratio [RR], 1.43; 95% CI, 1.22-1.68) and hospital (RR, 1.17; 95% CI, 1.06-1.28) LOS. There was no statistically significant association between handover and PACE (30 days: HR 1.09; 95% CI, 0.79-1.49; 1 year: HR 0.89; 95% CI, 0.70-1.13).

Conclusions and Relevance

Handover of anesthesia care during cardiac surgical procedures was associated with higher 30-day and 1-year mortality rates and increased health care resource use. Further research is needed to evaluate and systematically improve the handover process qualitatively.

Delayed extubation in spine surgery is associated with increased postoperative complications and hospital episode-based resource utilization

STUDY OBJECTIVE

To elucidate the association between delayed extubation, postoperative complications, and episode-based resource utilization.

DESIGN

Retrospective Propensity-Matched Cohort Study.

SETTING

Single Large Academic Medical Center.

PATIENTS

The computerized anesthetic records of 17,223 patients undergoing spine surgery from January 2006 through November 2016 were reviewed for this study. The records of 11,421 patients met inclusion criteria for final analysis, with 527 subjects who had delayed extubation following their procedure.

INTERVENTIONS

Delayed extubation, defined as patients not extubated prior to leaving the operating room.

MEASUREMENTS

Computerized anesthetic records of spine surgery patients were analyzed retrospectively. Corresponding Medicare Severity Diagnosis Related Group numbers (MS-DRGs) were then identified, as well as associated lengths of stay and costs of care. We compared hospital-acquired International Classification of Diseases-9 (ICD-9) and ICD-10 postoperative complication codes linked to each record to assess differences in outcome.

MAIN RESULTS

Increasing medical and surgical complexity is associated with delayed extubation. Using propensity score matching, delayed extubation was independently associated with a higher likelihood of any postoperative complication (Odds Ratio [OR]: 1.79; 95% Confidence Interval [CI]: 1.23-2.61); major complications (OR: 2.22; 95% CI: 1.31-3.76); prolonged length of hospital stay (Hazard Ratio [HR]: 0.82 (0.72, 0.95), p = 0.006); prolonged Intensive Care Unit (ICU) stay (HR: 0.68 (0.61, 0.76), p < 0.001); and were less likely to be discharged home (OR: 1.40 (1.02, 1.92), p = 0.036). Propensity score matching demonstrated that anesthesiologist handoff was not independently associated with any of the examined adverse outcomes.

CONCLUSIONS

Delayed extubation after spine surgery was associated with a statistically significant increased incidence of postoperative complications as well as increased hospital episode-based resource utilization in the form of increased hospital length of stay, ICU length of stay, post-acute care at a facility, and higher cost of hospitalization. Although anesthesiologist handoff was associated with delayed extubation, it was not independently associated with postoperative complications when propensity score matching was applied.

Intraoperative Scrub Nurse Handoffs Are Associated with Increased Operative Times for Lower Extremity Orthopaedic Sports Procedures

Purpose

The purpose of this study was to evaluate the effect of intraoperative scrub nurse handoffs on surgical times for arthroscopically-assisted anterior cruciate ligament (ACL) reconstructions and hip arthroscopies.

Methods

A retrospective chart review was done at a major, urban academic medical center for all patients who underwent arthroscopically-assisted ACL reconstructions and hip arthroscopies for femoroacetabular impingement syndrome between May 2014 and May 2020. All ACL reconstructions were performed by 1 of 6 sports medicine fellowship–trained surgeons, and all hip arthroscopies were performed by a single surgeon. Operative times, number of scrub nurse handoffs, surgeon, patient demographics, and procedure-specific information were recorded. The association between patient characteristics and the number of handoffs, as well as the association between patient characteristics and operative times, stratified by scrub nurse handoffs, were calculated. A multivariable linear regression was performed to assess the association between intra-operative handoffs and operative times.

Results

Eight hundred twenty ACL reconstructions and 269 hip arthroscopies were identified. Multivariable linear regression demonstrated increasing intraoperative scrub nurse handoffs were associated with increased operative times for all patients. For ACL reconstructions, when including all possible covariates, 1 scrub nurse handoff increased operative times by 21.1 minutes (95% confidence interval [CI]: 15.36 to 26.89; P < .001), and 2+ handoffs increased operative times by 34.2 minutes (95% CI: 26.28 to 42.15; P < .001). For hip arthroscopies, 1 scrub nurse handoff increased operative times by 7.0 minutes (95% CI: 0.31 to 13.74; P = .04).

Conclusion

Although a causal link cannot be made, intraoperative scrub nurse handoffs were associated with statistically significant increase in operative times for both ACL reconstructions and hip arthroscopies.

Level of Evidence

Level III, retrospective cohort study.

Intraoperative Scrub Nurse Handoffs Are Associated With Increased Operative Times for Total Joint Arthroplasty Patients

BACKGROUND

Surgeons typically remain scrubbed in for the duration of a surgical case, while scrub nurses are shift-workers who handoff mid-operation. These handoffs can intuitively create inefficiencies, but currently, no orthopedic research has studied the impact of these handoffs. This study analyzed the effect of intraoperative scrub nurse handoffs on operative times for total joint arthroplasties (TJAs).

METHODS

A retrospective chart review was performed for primary total hip (THA) and total knee arthroplasties (TKA) performed between May 2014 and May 2018. Operative times, number of scrub nurse handoffs, surgeon, and patient information were collected. A multivariable linear regression was performed to assess the association between patient and surgeon characteristics, intraoperative handoffs, and operative times.

RESULTS

A total of 1109 TKA and 1032 THA patients were identified. Multivariable linear regression demonstrated that for TKAs, 1 handoff was associated with a 3.89-minute longer operative time (P value = .02), and 2+ handoffs were associated with a 15.99-minute longer case (P value < .001). For THA patients, 1 handoff was associated with a 6.20-minute longer operative time (P value < .001), and 2+ handoffs were associated with an 18.52-minute longer case (P value < .001).

CONCLUSIONS

Although causation cannot be established, when controlling for multiple confounders, intraoperative scrub nurse handoffs were associated with statistically significant increases in operative times for TJAs. Optimizing scrub nurse staffing models to decrease intraoperative handoffs could thus have practical ramifications on TJA patients.

Systematic Review of Intraoperative Anesthesia Handoffs and Handoff Tools

Intraoperative handoffs between anesthesia clinicians are critical for care continuity. However, such handoffs pose a significant threat to patient safety. This systematic review synthesizes the empirical evidence on the (a) effect of intraoperative handoffs on outcomes and (b) effect of intraoperative handoff tools on outcomes. All studies on intraoperative handoffs and handoff tools published until September 2019, in any study setting and population, and with no prespecified criteria on the type of comparison and outcome were included. Data extracted from the included studies were aggregated to identify common patterns related to the type of surgery, clinician(s) involved, patient population, handoff tool, the tool design approach (where relevant), tool implementation strategies, and finally, all reported clinical and process outcomes. Quality of studies was assessed using the Newcastle-Ottawa Scale (NOS). Fourteen studies met the inclusion criteria. All included studies used adult patients. Eight studies were retrospective cohort studies that used administrative or electronic health record (EHR)-based databases to investigate the effects of intraoperative handoffs on morbidity and mortality. These studies included a total of 680,855 surgeries, with 139,426 of these surgeries having at least 1 handoff (20.47%). Seven of the studies found a positive association between intraoperative handoffs and considered outcomes. However, a pooled meta-analysis across these studies was not feasible across the retrospective studies due to differing surgical populations and varying definitions of the considered outcomes. Six studies used a nonrandomized prospective design to evaluate the effects of handoff tools on process-based outcomes such as clinician satisfaction, information transfer, handoff duration, and adherence. Five of the 6 handoff tools were checklist based. All prospective tool-based studies relied on small samples and reported a significant improvement on the considered process-based outcomes. The median quality score among retrospective (median [interquartile range {IQR}] = 9 [1]) was significantly higher than that of prospective (median [IQR] = 5 [1.5]) studies (U = 21, P = .0017). This systematic review provides a unique appraisal of the current state of intraoperative handoff research. To improve the quality and outcomes of handoffs, future efforts should focus on design and implementation of standardized handoff tools integrated within EHR systems, consider the use of similar metrics for evaluating handoff process and clinical outcomes, and improve the execution and reporting of studies using standard protocols and guidelines.

Effect of risk management combined with precision care in interventional embolization of cerebral aneurysm in elderly patients

OBJECTIVE

To investigate the effect of risk management combined with intraoperative precision care on the efficacy and safety of interventional embolization therapy for elderly patients with cerebral aneurysms.

METHODS

In this prospective randomized controlled study, we included 60 elderly patients with cerebral aneurysm treated with interventional embolization. The patients were randomly divided into an experiment group (n=30) and a control group (n=30). The control group received conventional care during the interventional procedure, while the experiment group received risk management combined with precision care. The outcome of the procedure, time to disappearance of clinical symptoms, length of hospitalization, incidence of complications, neurological function and quality of life before and 3 months after the procedure in both groups were assessed and compared.

RESULTS

Compared with the control group, the experiment group had significantly less intraoperative bleeding, shorter operative time (all P<0.001), shorter time to disappearance of clinical symptoms and shorter hospitalization (all P<0.001), and a lower rate of surgical complications (P<0.05). Three months after the operation, the experiment group had better neurological function and quality of life, with significantly lower mRs scores (modified Rankin scale), NIHSS (National Institute of Health Stroke Scale) and higher SF-36 scores (MOS item short from health survey) than those of the control group (both P<0.001).

CONCLUSION

Risk management combined with precision care can effectively improve the surgical safety of interventional embolization in elderly patients with cerebral aneurysm, reduce the incidence of surgical complications, and thus improve the prognosis.

Communication failures contributing to patient injury in anaesthesia malpractice claims☆

BACKGROUND

Communication amongst team members is critical to providing safe, effective medical care. We investigated the role of communication failures in patient injury using the Anesthesia Closed Claims Project database.

METHODS

Claims associated with surgical/procedural and obstetric anaesthesia and postoperative pain management for adverse events from 2004 or later were included. Communication was defined as transfer of information between two or more parties. Failure was defined as communication that was incomplete, inaccurate, absent, or not timely. We classified root causes of failures as content, audience, purpose, or occasion with inter-rater reliability assessed by kappa. Claims with communication failures contributing to injury (injury-related communication failures; n=389) were compared with claims without any communication failures (n=521) using Fisher's exact test, t-test, or Mann-Whitney U-tests.

RESULTS

At least one communication failure contributing to patient injury occurred in 43% (n=389) out of 910 claims (κ=0.885). Patients in claims with injury-related communication failures were similar to patients in claims without failures, except that failures were more common in outpatient settings (34% vs 26%; P=0.004). Fifty-two claims had multiple communication failures for a total of 446 injury-related failures, and 47% of failures occurred during surgery, 28% preoperatively, and 23% postoperatively. Content failures (insufficient, inaccurate, or no information transmitted) accounted for 60% of the 446 communication failures.

CONCLUSIONS

Communication failure contributed to patient injury in 43% of anaesthesia malpractice claims. Patient/case characteristics in claims with communication failures were similar to those without failures, except that failures were more common in outpatient settings.

Impact of intensive care unit admission during handover on mortality: propensity matched cohort study

OBJECTIVE

To investigate the impact of intensive care unit admission during medical handover on mortality.

METHODS

Post-hoc analysis of data extracted from a prior study aimed at addressing the impacts of intensive care unit readmission on clinical outcomes. This retrospective, single-center, propensity-matched cohort study was conducted in a 41-bed general open-model intensive care unit. Patients were assigned to one of two cohorts according to time of intensive care unit admission: Handover Group (intensive care unit admission between 6:30 am and 7:30 am or 6:30 pm and 7:30 pm) or Control Group (intensive care unit admission between 7:31 am and 6:29 pm or 7:31 pm and 6:29 am). Patients in the Handover Group were propensity-matched to patients in the Control Group at a 1:2 ratio.

RESULTS

A total of 6,650 adult patients were admitted to the intensive care unit between June 1st 2013 and May 31st 2015. Following exclusion of non-eligible participants, 5,779 patients (389; 6.7% and 5,390; 93.3%, Handover and Control Group) were deemed eligible for propensity score matching. Of these, 1,166 were successfully matched (389; 33.4% and 777; 66.6%, Handover and Control Group). Following propensity-score matching, intensive care unit admission during handover was not associated with increased risk of intensive care unit (OR: 1.40; 95%CI: 0.92-2.11; p=0.113) or in-hospital (OR: 1.23; 95%CI: 0.85-1.75; p=0.265) mortality.

CONCLUSION

Intensive care unit admission during medical handover did not affect in-hospital mortality in this propensity-matched, single-center cohort study.

Handoffs and transitions in critical care-understanding scalability: study protocol for a multicenter stepped wedge type 2 hybrid effectiveness-implementation trial

BACKGROUND

The implementation of evidence-based practices in critical care faces specific challenges, including intense time pressure and patient acuity. These challenges result in evidence-to-practice gaps that diminish the impact of proven-effective interventions for patients requiring intensive care unit support. Research is needed to understand and address implementation determinants in critical care settings.

METHODS

The Handoffs and Transitions in Critical Care-Understanding Scalability (HATRICC-US) study is a Type 2 hybrid effectiveness-implementation trial of standardized operating room (OR) to intensive care unit (ICU) handoffs. This mixed methods study will use a stepped wedge design with randomized roll out to test the effectiveness of a customized protocol for structuring communication between clinicians in the OR and the ICU. The study will be conducted in twelve ICUs (10 adult, 2 pediatric) based in five United States academic health systems. Contextual inquiry incorporating implementation science, systems engineering, and human factors engineering approaches will guide both protocol customization and identification of protocol implementation determinants. Implementation mapping will be used to select appropriate implementation strategies for each setting. Human-centered design will be used to create a digital toolkit for dissemination of study findings. The primary implementation outcome will be fidelity to the customized handoff protocol (unit of analysis: handoff). The primary effectiveness outcome will be a composite measure of new-onset organ failure cases (unit of analysis: ICU).

DISCUSSION

The HATRICC-US study will customize, implement, and evaluate standardized procedures for OR to ICU handoffs in a heterogenous group of United States academic medical center intensive care units. Findings from this study have the potential to improve postsurgical communication, decrease adverse clinical outcomes, and inform the implementation of other evidence-based practices in critical care settings.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT04571749 . Date of registration: October 1, 2020.