Development of an appropriate list of surgical procedures of a specified maximum anesthetic complexity to be performed at a new ambulatory surgery facility

Proportions of Surgical Patients Discharged Home the Same or the Next Day Are Sufficient Data to Assess Cases' Contributions to Hospital Occupancy

Introduction When the hospital census is high, perioperative medical directors or operating room (OR) managers may need to consider postponing some surgical cases scheduled to be performed within the next three workdays. This scenario has arisen at hospitals in regions with large increases in admissions due to coronavirus disease 2019 (COVID-19). We compare summary measures for hospital length of stay (LOS) to guide the OR manager having to decide which cases may need to be postponed to ensure a sufficient reserve of available inpatient beds. Methods We studied the 1,201,815 ambulatory and 649,962 inpatient elective cases with a major therapeutic procedure performed during 2018 at all 412 non-federal hospitals in Florida. The data were sorted by the hospital, and then by procedure category. Statistical comparisons of LOS were made pairwise among all procedure categories with at least 100 cases at (the) each hospital, using the chi-square test (LOS ≤ 1 day versus LOS > 1 day), Student's t-test with unequal variances, and the Wilcoxon-Mann-Whitney test. The comparisons among the three tests then were repeated having sorted the data by procedure category and making statistical comparisons among all hospitals with at least 100 cases for the procedure category. Results Whether using a criterion for statistical significance of P < 0.05 or P < 0.01, and whether compared with Student's t-test with unequal variances or Wilcoxon-Mann-Whitney test, the chi-square test had greater odds (i.e., greater statistical power) to detect differences in LOS (all four with P < 0.0001 and all 95% lower confidence limits for odds ratios ≥ 3.00). The findings were consistent when the data, first sorted by procedure category and then by probability distributions of LOS, were compared between hospitals (all P < 0.0001 and the 95% lower confidence limits for odds ratio ≥ 3.72). Conclusions For purposes of comparing procedure categories pairwise at the same hospital, there was no loss of information by summarizing the probability distributions using single numbers, the percentages of cases among patients staying longer than overnight. This finding substantially simplifies the mathematics for constructing dashboards or summaries of OR information system data to help the perioperative OR manager or medical director decide which cases may need to be postponed, when the hospital census is high, to provide a sufficient reserve of inpatient hospital beds.

Patient health status and case complexity of outpatient surgeries at various facility types in the United States: An analysis using the National Anesthesia Clinical Outcomes Registry

STUDY OBJECTIVE

Among the various types of outpatient surgery centers, there are differences in higher American Society of Anesthesiologists Physical Status (ASA PS) scores and surgical complexity among patients who are undergoing surgery. The primary objective of this study was to describe the differences performed at various types of outpatient surgery facilities.

DESIGN

We performed a retrospective analysis of the National Anesthesia Clinical Outcomes Registry (NACOR) data.

SETTING

NACOR from 2012 to 2017.

PATIENTS

From 2012 to 2017, there were a total of 13,053,115 outpatient surgeries in the database. After removing cases with unknown facility type, the final study sample was 9,217,336.

INTERVENTIONS

None.

MEASUREMENTS

To calculate the probability of either American Society of Anesthesiologists Physical Status (ASA PS) score ≥ 3 or physiologically complex cases (defined as Common Procedural Terminology start-up units ≥8), we performed mixed effects logistic regression for each institution per facility type, controlling for year and using facility identification as the random effect. We present the mean rate of these two classifications as case per 10,000 cases and report the 99.9% confidence interval (CI), to control for multiple comparisons.

MAIN RESULTS

Among all cases, 5,919,844 (64.2%) were classified as ASA PS 1 or 2 and 254,110 (2.8%) of surgical procedures were considered physiologically complex. The mean rate of cases with ASA PS ≥ 3in the university setting was 2982 per 10,000 cases [99.9% CI 2701-3278 per 10,000 cases]. Large community hospitals had a higher proportion of ASA PS ≥3 patients, medium-sized hospitals had no difference, and all other facility types had a decreased proportion. The mean rate of cases that were physiologically complex in the university setting was 133 per 10,000 cases [99.9% CI 117-151 per 10,000 cases]. Large community hospitals had a higher proportion of physiologically complex cases, medium-sized and small-sized hospitals had no difference, and all other facility types had a decreased proportion.

CONCLUSIONS

Freestanding and attached surgery centers exhibited smaller rates of patients that were ASA PS ≥ 3, as well as a decrease in surgically complex cases, when compared to university settings. This suggests that the level of conservativeness for patient and surgery appropriateness for outpatient surgery differs across various facility types.

Hospital admission on weekends for patients who have surgery and 30-day mortality in Ontario, Canada: A matched cohort study

BACKGROUND

Healthcare interventions on weekends have been associated with increased mortality and adverse clinical outcomes, but these findings are inconsistent. We hypothesized that patients admitted to hospital on weekends who have surgery have an increased risk of death compared with patients who are admitted and have surgery on weekdays.

METHODS AND FINDINGS

This matched cohort study included 318,202 adult patients from Ontario health administrative and demographic databases, admitted to acute care hospitals from 1 January 2005 to 31 December 2015. A total of 159,101 patients who were admitted on weekends and underwent noncardiac surgery were classified by day of surgery (weekend versus weekday) and matched 1:1 to patients who both were admitted and had surgery on a weekday (Tuesday to Thursday); matching was based on age (in years), anesthesia basic unit value for the surgical procedure, median neighborhood household income quintile, resource utilization band (a ranking system of overall morbidity), rurality of home location, year of admission, and urgency of admission. Of weekend admissions, 16.2% (25,872) were elective and 53.9% (85,744) had surgery on the weekend of admission. The primary outcome was all-cause mortality within 30 days of the date of hospital admission. The 30-day all-cause mortality for patients admitted on weekends who had noncardiac surgery was 2.6% (4,211/159,101) versus 2.5% (3,901/159,101) for those who were admitted and had surgery on weekdays (adjusted odds ratio [OR] 1.05; 95% CI 1.00 to 1.11; P = 0.03). However, there was significant heterogeneity in the increased odds of death according to the urgency of admission and when surgery was performed (weekend versus weekday). For urgent admissions on weekends (n = 133,229), there was no significant increase in odds of mortality when surgery was performed on the weekend (adjusted OR 1.02; 95% CI 0.95 to 1.09; P = 0.7) or on a subsequent weekday (adjusted OR 1.05; 95% CI 0.98 to 1.12; P = 0.2) compared to urgent admissions on weekdays. Elective admissions on weekends (n = 25,782) had increased risk of death both when surgery was performed on the weekend (adjusted OR 3.30; 95% CI 1.98 to 5.49; P < 0.001) and when surgery was performed on a subsequent weekday (adjusted OR 2.70; 95% CI 1.81 to 4.03; P < 0.001). The main limitations of this study were the lack of data regarding reason for admission and cause of increased time interval from admission to surgery for some cases, the small number of deaths in some subgroups (i.e., elective surgery), and the possibility of residual unmeasured confounding from increased illness severity for weekend admissions.

CONCLUSIONS

When patients have surgery during their hospitalization, admission on weekends in Ontario, Canada, was associated with a small but significant proportional increase in 30-day all-cause mortality, but there was significant heterogeneity in outcomes depending on the urgency of admission and when surgery was performed. An increased risk of death was found only for elective admissions on weekends; whether this is a function of patient-level factors or represents a true weekend effect needs to be further elucidated. These findings have potential implications for resource allocation in hospitals and the redistribution of elective surgery to weekends.

Influence of Surgical Procedures and General Anesthesia on Child Development Before Primary School Entry Among Matched Sibling Pairs

IMPORTANCE

Substantial preclinical evidence suggests that the developing brain is susceptible to injury from anesthetic drugs. Findings from clinical studies of the neurotoxic effects of anesthesia are mixed, but these effects can be influenced by unmeasured confounding from biological and environmental risk and protective factors on child development.

OBJECTIVE

To examine the association between surgical procedures that require general anesthesia before primary school entry and child development in biological siblings.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective sibling-matched cohort study included sibling pairs aged 5 to 6 years with the same birth mother who had Early Development Instrument (EDI) data completed. The EDI is a population-based measure of child development that assesses children's readiness to learn in 5 major domains (physical health and well-being, social knowledge and competence, emotional health and maturity, language and cognitive development, and communication skills and general knowledge). All eligible children in public and Catholic schools in Ontario, Canada, from 2004 through 2012 were included. Data were analyzed from December 13, 2017, through July 27, 2018.

EXPOSURES

Surgical procedures that require general anesthesia from the date of birth to EDI completion.

MAIN OUTCOMES AND MEASURES

Early developmental vulnerability, defined as any major domain of the EDI in the lowest 10th percentile of the Ontario population.

RESULTS

Of the 187 226 eligible children for whom the EDI was completed, a total of 10 897 sibling pairs (21 794 children; 53.8% female; mean [SD] age, 5.7 [0.3] years) were subsequently identified, including 2346 with only 1 child exposed to surgery. No significant differences were found between exposed and unexposed children in early developmental vulnerability (697 of 3080 [22.6%] vs 3739 of 18 714 [20.0%]; adjusted odds ratio [aOR], 1.03; 95% CI, 0.98-1.14; P = .58) or for each of the 5 major EDI domains (aOR for language and cognitive development, 0.96 [95% CI, 0.80-1.14]; aOR for physical health and well-being, 1.09 [95% CI, 0.96-1.24]; aOR for social knowledge and competence, 0.98 [95% CI, 0.84-1.14]; aOR for emotional health and maturity, 0.98 [95% CI, 0.84-1.14]; and aOR for communication skills and general knowledge, 0.90 [95% CI, 0.77-1.05]), after adjusting for confounding factors (age at EDI completion, sex, mother's age at birth, and eldest sibling status).

CONCLUSIONS AND RELEVANCE

In this provincial cohort study, children who had surgical procedures that require general anesthesia before primary school entry were not found to be at increased risk of adverse child development outcomes compared with their biological siblings who did not have surgery. These findings further support that anesthesia exposure in early childhood is not associated with detectable adverse child development outcomes.

Systematic review of general thoracic surgery articles to identify predictors of operating room case durations

BACKGROUND

Previous studies of operating room (OR) information systems data over the past two decades have shown how to predict case durations using the combination of scheduled procedure(s), individual surgeon and assistant(s), and type of anesthetic(s). We hypothesized that the accuracy of case duration prediction could be improved by the use of other electronic medical record data (e.g., patient weight or surgeon notes using standardized vocabularies).

METHODS

General thoracic surgery was used as a model specialty because much of its workload is elective (scheduled) and many of its cases are long. PubMed was searched for thoracic surgery papers reporting operative time, surgical time, etc. The systematic literature review identified 48 papers reporting statistically significant differences in perioperative times.

RESULTS

There were multiple reports of differences in OR times based on the procedure(s), perioperative team including primary surgeon, and type of anesthetic, in that sequence of importance. All such detail may not be known when the case is originally scheduled and thus may require an updated duration the day before surgery. Although the use of these categorical data from OR systems can result in few historical data for estimating each case's duration, bias and imprecision of case duration estimates are unlikely to be affected. There was a report of a difference in case duration based on additional information. However, the incidence of the procedure for the diagnosis was so uncommon as to be unlikely to affect OR management.

CONCLUSIONS

Matching findings of prior studies using OR information system data, multiple case series show that it is important to rely on the precise procedure(s), surgical team, and type of anesthetic when estimating case durations. OR information systems need to incorporate the statistical methods designed for small numbers of prior surgical cases. Future research should focus on the most effective methods to update the prediction of each case's duration as these data become available. The case series did not reveal additional data which could be cost-effectively integrated with OR information systems data to improve the accuracy of predicted durations for general thoracic surgery cases.

Application of a Similarity Index to State Discharge Abstract Data to Identify Opportunities for Growth of Surgical and Anesthesia Practices

INTRODUCTION

Most surgical and anesthesia groups are interested in expanding their practices and recruiting more patients. Methods have been developed to help hospitals identify surgical specialties with the potential for growth by determining whether the hospital is performing fewer of certain types of procedures than expected in a given specialty. However, these methods are not appropriate for physicians who may practice at more than one hospital and want to determine the potential for growth in their regions.

METHODS

We examined potential markets for growth of surgical and anesthesia practices in Iowa and New York State using state discharge abstract data. Several patient demographic groups and several surgical specialties were examined. Each state was divided into regions, and data were analyzed three ways: (1) A similarity index compared each region to the rest of the state. (2) The number of procedures performed on patients who left their home regions for care was determined. (3) A similarity index compared procedures performed on patients who left their home regions for care with procedures performed on patients who remained within their home regions.

RESULTS

The methods successfully identified several geographic regions with previously unrecognized growth potential. Access to care was limited in these regions. The methods correctly showed few opportunities for growth in geographic regions where expansion was already known to be unlikely.

CONCLUSIONS

A count of the number of procedures performed on patients who left their home regions, in combination with the similarity index, is a useful method for screening state discharge abstract data to identify geographic regions where surgical and anesthesia practices could grow.

A methodology to estimate the potential to move inpatient to one day surgery

BACKGROUND

The proportion of surgery performed as a day case varies greatly between countries. Low rates suggest a large growth potential in many countries. Measuring the potential development of one day surgery should be grounded on a comprehensive list of eligible procedures, based on a priori criteria, independent of local practices. We propose an algorithmic method, using only routinely available hospital data to identify surgical hospitalizations that could have been performed as one day treatment.

METHODS

Moving inpatient surgery to one day surgery was considered feasible if at least one surgical intervention was eligible for one day surgery and if none of the following criteria were present: intervention or affection requiring an inpatient stay, patient transferred or died, and length of stay greater than four days. The eligibility of a procedure to be treated as a day case was mainly established on three a priori criteria: surgical access (endoscopic or not), the invasiveness of the procedure and the size of the operated organ. Few overrides of these criteria occurred when procedures were associated with risk of immediate complications, slow physiological recovery or pain treatment requiring hospital infrastructure. The algorithm was applied to a random sample of one million inpatient US stays and more than 600 thousand Swiss inpatient stays, in the year 2002.

RESULTS

The validity of our method was demonstrated by the few discrepancies between the a priori criteria based list of eligible procedures, and a state list used for reimbursement purposes, the low proportion of hospitalizations eligible for one day care found in the US sample (4.9 versus 19.4% in the Swiss sample), and the distribution of the elective procedures found eligible in Swiss hospitals, well supported by the literature. There were large variations of the proportion of candidates for one day surgery among elective surgical hospitalizations between Swiss hospitals (3 to 45.3%).

CONCLUSION

The proposed approach allows the monitoring of the proportion of inpatient stay candidates for one day surgery. It could be used for infrastructure planning, resources negotiation and the surveillance of appropriate resource utilization.

Predicting Anesthesia Times for Diagnostic and Interventional Radiological Procedures

We studied anesthesia times for diagnostic and interventional radiology using anesthesia billing data and paper radiology logbooks. For computerized tomography and magnetic resonance imaging procedures, we tried to predict future anesthesia times by using historical anesthesia times classified by Current Procedural Terminology (CPT) codes. By this method, anesthesia times were estimated even less accurately than operating room cases. Computerized tomography and magnetic resonance imaging had many different CPT codes, most rare, and CPT codes reflected organs imaged, not scanning times. However, when, anesthesia times were estimated by expert judgment, face validity and accuracy were good. Lower and upper prediction bounds were also estimated from the expert estimates. For interventional radiology, predicting anesthesia times was challenging because few CPT codes accounted for most cases. Because interventional radiologists scheduled their elective cases into allocated time, the necessary goal was not to estimate the time to complete each case but rather the time to complete each day's entire series of elective cases including turnover times. We determined the time of day (e.g., 4 pm) up to when interventional radiology could schedule so that on 80% of days the anesthesia team finishes no later than a specified time (e.g., 6 pm). Both diagnostic and interventional radiology results were similarly less accurate when Version 9 of the International Classifications of Diseases' procedure codes was used instead of CPT.

Tactical decision making for selective expansion of operating room resources incorporating financial criteria and uncertainty in subspecialties' future workloads

We considered the allocation of operating room (OR) time at facilities where the strategic decision had been made to increase the number of ORs. Allocation occurs in two stages: a long-term tactical stage followed by short-term operational stage. Tactical decisions, approximately 1 yr in advance, determine what specialized equipment and expertise will be needed. Tactical decisions are based on estimates of future OR workload for each subspecialty or surgeon. We show that groups of surgeons can be excluded from consideration at this tactical stage (e.g., surgeons who need intensive care beds or those with below average contribution margins per OR hour). Lower and upper limits are estimated for the future demand of OR time by the remaining surgeons. Thus, initial OR allocations can be accomplished with only partial information on future OR workload. Once the new ORs open, operational decision-making based on OR efficiency is used to fill the OR time and adjust staffing. Surgeons who were not allocated additional time at the tactical stage are provided increased OR time through operational adjustments based on their actual workload. In a case study from a tertiary hospital, future demand estimates were needed for only 15% of surgeons, illustrating the practicality of these methods for use in tactical OR allocation decisions.