Search

Study Objective: Our aim was to quantify the extent to which the distribution of patients among payers and changes to the payers' policies has influenced the market of surgery among hospitals in a relatively rural state.Design: Retrospective cohort study.Setting: Iowa Hospital Association data analyzed were from 2007 through 2016 for the N = 121 hospitals with at least one case performed that included a major therapeutic procedure.Measurements: We used five categories of payer (e.g., Medicare), five categories of patient age (e.g., 18 to 64 years), and three categories of patient residence location (e.g., neither from the county of the hospital nor from a county contiguous to the county of the hospital).Main Results: Sorting hospitals in descending sequence of numbers of surgical cases, depending on year, the top 10% of hospitals performed 58.4% to 59.2% of the cases. Increases in numbers of cases among patients with commercial insurance increased the heterogeneity among hospitals in numbers of surgical cases (P < 0.0001). However, the magnitude of the effect was very small, with an estimated relative marginal effect on the overall Gini index of only 0.9% ± 0.2% (SE). Increases in numbers of cases of patients with Medicare insurance reduced the heterogeneity in numbers of cases among hospitals (P < 0.0001), but also with very small magnitude (-0.9% ± 0.2%). In contrast, factors encouraging patient travel contributed to larger hospitals becoming larger, and smaller hospitals becoming smaller (3.9% ± 0.7%, P < 0.0001).Conclusions: We found the absence of a substantive effect of insurance and national US payment systems on the relative distribution of surgical cases among hospitals. Anesthesia groups should focus on payer and payment reform in terms of their effects on payment rates (e.g., average payment per relative value guide unit), not on their potential effects on hospital caseloads. [ABSTRACT FROM AUTHOR]

Purpose: There is little knowledge about how hospitals can best handle disruptions that reduce post-anesthesia care unit (PACU) capacity. Few hospitals in Japan have any PACU beds and instead have the anesthesiologists recover their patients in the operating room. We compared postoperative recovery times between a hospital with (University of Iowa) and without (Shin-yurigaoka General Hospital) a PACU.Methods: This historical cohort study included 16 successive patients undergoing laparoscopic gynecologic surgery with endotracheal intubation for general anesthesia, at each of the hospitals, and with the hours from OR entrance until the last surgical dressing applied ≥ two hours. Postoperative recovery times, defined as the end of surgery until leaving for the surgical ward, were compared between the hospitals.Results: The median [interquartile range] of recovery times was 112 [94-140] min at the University of Iowa and 22 [18-29] min at the Shin-yurigaoka General Hospital. Every studied patient at the University of Iowa had a longer recovery time than every such patient at Shin-yurigaoka General Hospital (Wilcoxon-Mann-Whitney, P < 0.001). The ratio of the mean recovery times was 4.90 (95% confidence interval [CI], 4.05 to 5.91; P < 0.001) and remained comparable after controlling for surgical duration (5.33; 95% CI, 3.66 to 7.76; P < 0.001). The anesthetics used in the Iowa hospital were a volatile agent, hydromorphone, ketorolac, and neostigmine compared with the Japanese hospital where bispectral index monitoring and target-controlled infusions of propofol, remifentanil, acetaminophen, and sugammadex were used.Conclusions: This knowledge can be generally applied in situations at hospitals with regular PACU use when there are such large disruptions to PACU capacity that it is known before a case begins that the anesthesiologist likely will need to recover the patient (i.e., when there will not be an available PACU bed and/or nurse). The Japanese anesthesiologists have no PACU labour costs but likely greater anesthesia drug/monitor costs. [ABSTRACT FROM AUTHOR]

Study Objective: Suppose that it were a generalizable finding, in both densely populated and rural states, that there is marked heterogeneity among hospitals in the percentage change in surgical caseload and/or in the total change in caseload. Then, individual hospitals should not simply rely on federal and state forecasts to infer their expected growth. Likewise, individual hospitals and their anesthesiology groups would best not rely on national or US regional surgical trends as causal reasons for local trends in caseload. We examined the potential utility of using state data on surgical caseload to predict local growth by using 6 years of data for surgical cases performed at hospitals in the States of Florida and Iowa.Design: Observational cohort study.Setting: 303 hospitals in Iowa and Florida.Measurements: Cases with major therapeutic procedures in 2010 or 2011 were compared pairwise by hospital with such cases in 2015 and 2016. Changes in counts of cases were decreases or increases, while study of growth set decreases equal to zero.Main Results: Hospitals in Iowa had slightly lesser percentage changes than did hospitals in Florida (Mann-Whitney P = 0.016). Hospitals in Iowa had greater variability among hospitals in the change in counts of cases with a major therapeutic procedure than did hospitals in Florida (P < 0.0001). The 10% of hospitals with the largest growths in counts of cases accounted for approximately half of the total growth in Iowa (70%) and Florida (54%). The large share of total growth attributable to the upper 10th percentile of hospitals was not caused solely by the hospitals having large percentage growths, based on there being weak correlation between growth and percentage growth, among the hospitals that grew (Iowa: Kendall's tau = 0.286 [SE 0.120]; Florida tau = 0.253 [SE 0.064]).Conclusions: Even if the data from states or federal agencies reported growth in surgical cases, there is too much concentration of growth at a few hospitals for statewide growth rates to be useful for forecasting by individual hospitals and anesthesiology groups. [ABSTRACT FROM AUTHOR]

Study Objective: Percentage utilization of operating room (OR) time is not an appropriate endpoint for planning additional OR time for surgeons with high caseloads, and cannot be measured accurately for surgeons with low caseloads. Nonetheless, many OR directors claim that their hospitals make decisions based on individual surgeons' OR utilizations. This incongruity could be explained by the OR managers considering the earlier mathematical studies, performed using data from a few large teaching hospitals, as irrelevant to their hospitals. The important mathematical parameter for the prior observations is the percentage of surgeon lists of elective cases that include 1 or 2 cases; "list" meaning a combination of surgeon, hospital, and date. We measure the incidence among many hospitals.Design: Observational cohort study.Setting: 117 hospitals in Iowa from July 2013 through September 2015.Subjects: Surgeons with same identifier among hospitals.Measurements: Surgeon lists of cases including at least one outpatient surgical case, so that Relative Value Units (RVU's) could be measured.Main Results: Averaging among hospitals in Iowa, more than half of the surgeons' lists included 1 or 2 cases (77%; P<0.00001 vs. 50%). Approximately half had 1 case (54%; P=0.0012 vs. 50%). These percentages exceeded 50% even though nearly all the surgeons operated at just 1 hospital on days with at least 1 case (97.74%; P<0.00001 vs. 50%). The cases were not of long durations; among the 82,928 lists with 1 case, the median was 6 intraoperative RVUs (e.g., adult inguinal herniorrhaphy).Conclusions: Accurate confidence intervals for raw or adjusted utilizations are so wide for individual surgeons that decisions based on utilization are equivalent to decisions based on random error. The implication of the current study is generalizability of that finding from the largest teaching hospital in the state to the other hospitals in the state. [ABSTRACT FROM AUTHOR]

Study Objective: Hospital administrators often seek to increase operating room (OR) elective caseload. Previous studies from Iowa demonstrated that surgical growth is mostly from low-caseload surgeons (ie, ≤2 cases per week). We repeated that study using data from Florida, a much more populous state, to confirm the generalizability of the findings.Design: Retrospective cohort study.Setting: All hospitals in the state of Florida.Patients: All patients undergoing elective surgery during 2018 and 2019.Measurements: We determined growth between 2018 and 2019 in regular-workday elective surgical caseload and intraoperative work relative value units (wRVU) at hospitals. Using the two-sided, one group Student t-test, we compared the fractions of those increases attributable to low-caseload surgeons vs. 50% to assess if they accounted for most surgical growth. We used the exact binomial test to compare the fraction of hospitals where most growth (>50%) occurred from low-caseload surgeons to half (50%).Main Results: We studied the 1,629,879 elective cases from 202 hospitals. Surgeons averaging ≤2.0 cases per week accounted for 73.3% (P < 0.0001 compared to 50%) of caseload growth and 68.7% (P < 0.0001 compared to 50%) of wRVU growth. The corresponding overall pooled growth estimates among hospitals were 70.8% for caseload and 65.0% for wRVU. There were 76.2% of the N = 202 hospitals with more than half their growth in cases from surgeons performing, on average, ≤2.0 cases per week (P < 0.0001 compared to 50% of hospitals). The vast majority of surgical growth at hospitals accrued from the contributions of low-caseload surgeons.Conclusions: Surgical growth in elective surgery at Florida hospitals accrued mostly from the increased activity of low-caseload surgeons averaging ≤2.0 cases per week during the preceding year, confirming the generalizability of the previous Iowa study. If growth in caseload is desired, surgical governance committees should ensure that low-caseload surgeons have access to the OR schedule. [ABSTRACT FROM AUTHOR]

Recruiting newly graduating Certified Registered Nurse Anesthetists (CRNAs) is expensive. Recruitment into rural areas is especially challenging. We analyzed the first jobs of all 95 graduates of the University of Iowa's CRN A training program, from the initial graduating class of 1997 through the class of 2009. We compared the location of the student's first job to where the student lived at the time of application to the program. Hospitals enhanced recruitment of CRNAs by having student rotations (P = .001). Most students who joined a practice offering an outside rotation were not from the county or contiguous counties of the hospital they joined (P < .001). In years that hospitals with rotations hired more than the median number of students, significantly more students had rotated through the hospital (P = .02). Offering a CRN A training program did not facilitate the university's retention of nurses already living in its county or contiguous counties (P = 0.58). Consequently, rural hospitals can view sponsoring rotations as a recruitment tool for graduating CRNAs. The university sponsoring the training program did not retain an advantage, however, in hiring its own graduates. Because this case study provided valuable insights, other programs should consider performing similar analyses. [ABSTRACT FROM AUTHOR]

Study Objective: Operating room (OR) utilization has been shown in multiple studies to be an inappropriate metric for planning OR time for individual surgeons. Among surgeons with low daily caseloads, percentage utilization cannot be measured accurately because confidence limits are extremely wide. In Iowa, a largely rural state, most surgeons performed only 1 or 2 elective cases on their OR days. To assess generalizability, we analyzed Florida, a state with many high-population density areas.Design: Observational cohort study.Setting: The 602 facilities in Florida that performed inpatient or outpatient elective surgery from January 2010 through December 2019.Subjects: The providers licensed to perform surgery in Florida (physician, oral surgeons, dentists, and podiatrists) were identified by their national provider number. Hospitals were deidentified before analysis.Measurements: The primary endpoint was the mean among facilities in percentages of surgeon-day combinations ("lists") containing 1 or 2 cases. Proportions were calculated using Freeman-Tukey transformation and the harmonic mean of the number of lists at each facility. Comparison to "most" (>50%) used Student's two-sided one-group t-test.Main Results: Averaging among hospitals, most surgeons' lists included 1 or 2 cases (64.4%; 99% confidence interval [CI] 61.3%-67.4%) P < 0.00001). Many lists had 1 case (44.2%, 99% CI 41.2%-47.2%). Nearly all (96.7%) surgeons operated at just one hospital on their OR days.Conclusions: Most surgeons' lists of elective surgical cases comprised 1 or 2 cases in the largely urban state of Florida, as previously found in the largely rural state of Iowa. Results were insensitive to organizational size or county population. Thus, our finding is generalizable in the United States. Consequently, neither adjusted nor raw utilization should be used solely when allocating OR time to individual surgeons. Anesthesia and nursing coverage of cases can be based on maximizing the efficiency of use of OR time. [ABSTRACT FROM AUTHOR]

We previously calculated the Gini index for 121 Iowa hospitals over the ten-year period 2007-2016. The Gini index is a statistic used in economics to assess difference in the distribution of wealth among groups. We reported a high degree of "inequality" among hospitals. In this paper, we extend this work by calculating the intragenerational mobility for the hospitals present in 2007-2008 and 2015-2016. Whereas in economics intragenerational mobility often is measured as changes in income over time within a group, we study changes in hospitals' surgical caseloads. Intragenerational mobility was quantified using the Spearman rank correlation, the slope of the ordinary least squares (OLS) regression line in the log scale, and the Shorrocks trace index. The results were consistent across the three measures. There was a low degree of mobility for the surgical caseloads of the hospitals during the 10-year period under study. For example, based on the slope of the OLS regression, intragenerational mobility was not significantly different from zero (P > 0.05). None (0%) of the 113 hospitals with at least 10 cases both periods increased from the 1st to 5th quintile, 1st to 4th quintile, 2nd to 5th quintile, 2nd to 4th quintile, or even from 3rd to 5th quintile. The results show the importance of hospitals not investing irrationally based on false hope of surgical growth. [ABSTRACT FROM AUTHOR]

Statistical methods to calculate the hours into which cases are scheduled, based on minimizing the inefficiency of use of anesthesia and/or operating room (OR) time, assure that anesthesiologists and OR nurses are available on each day to care for patients while infrequently working late. The method assumes that anesthesia staffing is planned based on the workload and not vice-versa. We used the American Society of Anesthesiologists (ASA) meeting to test the assumption across a large population. The observational study cohort was all 3,191,282 major therapeutic procedures performed during 2,517,842 cases at all 121 non-federal hospitals in the State of Iowa, 2007-16. The Fridays to Wednesdays of the annual ASA meetings were compared pairwise by year with those days of the other (mean = 43.0 [SE =0.3]) weeks without a federal holiday. Differences in counts of procedures (P = 0.45, 0.5% [0.7%]) and cases performed (P = 0.93, 0.1% [1.0%]) were not significant. In contrast, compared to non-meeting weeks, during the American College of Surgeons meeting, there were fewer general surgery procedures performed (P = 0.0009, −9.1% [1.9%]), fewer procedures performed of any type (P = 0.022, −2.1% [0.8]), and fewer cases of any type (P = 0.003, −2.5% [0.6%]). Similarly, during the American Academy of Orthopaedic Surgeons meeting, there were fewer joint arthroplasties performed (P < 0.0001, −27.1% [3.1%]), fewer procedures (P = 0.011, −6.3% [2.0%]), and fewer cases (P = 0.018, −5.9% [2.0%]). The results show that, in routine practice, anesthesia staffing and staff scheduling are being chosen to prevent the meeting from affecting patients' and surgeons' access to OR time. [ABSTRACT FROM AUTHOR]

Many anesthesiologists and nurse anesthetists want to continue breastfeeding their babies when returning to work from maternity leave. The cornerstone of breast milk supply maintenance is breast milk pumping sessions at regular intervals. These breast milk pumping sessions require time and private space for lactation. We surveyed Iowa hospitals and ambulatory surgery centers and created an educational spreadsheet to guide inquiry and postgraduate job selection of our anesthesiology residents and nurse anesthetist students (eg, when considering future family planning). The survey and spreadsheet showed a low prevalence of dedicated lactation space for anesthesia practitioners near the surgical suites., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 International Anesthesia Research Society.)

Background: Current guidelines for the administration of therapeutic epidural injections suggest that these be limited to a maximum of 4 per year. We sought to gain an understanding of the proportion of lumbosacral epidural injections administered to patients who had received ≥4 such injections during the preceding 364 days, and whether these proportions varied among hospitals., Methods: This observational cohort study included data from all facilities owned by the 121 nonfederal hospitals in the State of Iowa, July 2012 through September 2017. One end point was the percentage of all lumbar or sacral transforaminal or interlaminar epidural injections where the patient had received ≥4 such injections during the preceding 364 days. Comparisons also were made among hospitals' percentages of injections that were the fifth or greater (ie, patient had already received ≥4 during preceding 364 days) using Bonferroni-adjusted conservative 95% confidence intervals., Results: There were 48,270 unique patients who underwent at least 1 lumbosacral epidural steroid injection. The patients received care at 112 hospitals' facilities. Most patients received no additional steroid injections within 364 subsequent calendar days after the first steroid injection (54.1%). There were ≥5 steroid injections for 1.27% of patients (ie, the injection was the fifth or greater). Among the 39 hospitals in Iowa that performed overall at least 1 steroid injection every 4 days, there were 6 hospitals at which the percentages of injections that were the fifth or greater significantly exceeded the overall prevalence of 1.91% (range: 3.0%-6.4%). There were 14 of the 39 hospitals with prevalences significantly less., Conclusions: Although most patients received only 1 lumbosacral steroid injection within 1 year, 1.27% of patients received 5 or more, and 1.91% of injections were the fifth or greater. Several hospitals had significantly greater than the overall average percent of steroid injections which were fifth or more. This heterogeneity warrants study of whether annual steroid injections per patient should be a clinical quality measure for the care received by patients with lower back pain or whether payment should be greater when injections are in accordance with guidelines.

Background: Critical access hospitals represent 61% of hospitals in the rural United States, and 68% of hospitals in Iowa. The role of small hospitals, such as critical access hospitals, in providing interventional chronic pain procedures is unknown., Objectives: We evaluated whether: a) the diversity of interventional pain procedures offered by hospitals is related to their size and is attributable principally to lumbosacral epidural injections; b) critical access hospitals contribute substantively to the count and diversity of pain procedures; and c) whether most interventional pain procedures performed at hospitals' facilities are performed by relatively few proceduralists or by the cumulative activity of many clinicians., Study Design: This research involved an observational cohort design with a sample size of n = 283,940 interventional pain procedures., Setting: Data were collected from hospital-owned facilities in the state of Iowa from July 2012 through September 2017., Methods: The diversity of types of interventional pain procedures performed statewide was quantified in terms of the relative proportions of procedures at each hospital using the Herfindahl index. Bilinear weighted least squares regression quantified the relationship between the inverse of the Herfindahl and the percentage of procedures that were lumbar or caudal epidural. Kendall tau concordances quantified the relationship between counts of interventional pain procedures and hospital size. Using a blinded version of the National Provider Identifier of the clinician with primary responsibility for performing the principal procedure of the ambulatory visit, we calculated the percentage shares of interventional pain procedures performed by the 1% and 5% of proceduralists who performed the most procedures., Results: The diversity of types of procedures substantively differentiated among hospitals. Heterogeneity among hospitals in the proportion of procedures that were lumbar or caudal epidural injections substantively contributed to the heterogeneity among hospitals (P < .001). Hospitals performing more procedures tended to have greater diversity of types of procedures (P < .001). However, the strength of the concordance was small (Kendall tau b = 0.332), showing substantial heterogeneity among hospitals. The 82 critical access hospitals statewide cumulatively accounted for 23.9% of interventional pain procedures. The critical access hospitals' procedures were mostly (67.7%) lumbar or caudal epidural injections (P < .001), greater than the 48.9% of the other 41 hospitals (P < .001). Procedures were concentrated among proceduralists. The 1.0% of the proceduralists performing the most procedures performed 64.8% of procedures. The 5.0% of proceduralists performing the most procedures performed 87.7% of procedures., Limitations: The data are procedures were performed in hospital-owned facilities of Iowa., Conclusions: Although busier pain programs, based on procedures per week, generally performed more types of procedures, the variability was so large that the number of procedures a pain program performs per week cannot validly be used to infer the diversity of the hospital's pain medicine practice. Hospitals with pain medicine programs that lack diversity in the types of procedures performed may provide limited options for patients and be susceptible to changes in payment for individual procedures. Relatively few proceduralists performed the vast majority of the procedures., Key Words: Critical access hospitals, Herfindahl, interventional pain procedures, managerial epidemiology, pain medicine, state outpatient procedure database, lumbar epidural.

Purpose: There is little knowledge about how hospitals can best handle disruptions that reduce post-anesthesia care unit (PACU) capacity. Few hospitals in Japan have any PACU beds and instead have the anesthesiologists recover their patients in the operating room. We compared postoperative recovery times between a hospital with (University of Iowa) and without (Shin-yurigaoka General Hospital) a PACU., Methods: This historical cohort study included 16 successive patients undergoing laparoscopic gynecologic surgery with endotracheal intubation for general anesthesia, at each of the hospitals, and with the hours from OR entrance until the last surgical dressing applied ≥ two hours. Postoperative recovery times, defined as the end of surgery until leaving for the surgical ward, were compared between the hospitals., Results: The median [interquartile range] of recovery times was 112 [94-140] min at the University of Iowa and 22 [18-29] min at the Shin-yurigaoka General Hospital. Every studied patient at the University of Iowa had a longer recovery time than every such patient at Shin-yurigaoka General Hospital (Wilcoxon-Mann-Whitney, P < 0.001). The ratio of the mean recovery times was 4.90 (95% confidence interval [CI], 4.05 to 5.91; P < 0.001) and remained comparable after controlling for surgical duration (5.33; 95% CI, 3.66 to 7.76; P < 0.001). The anesthetics used in the Iowa hospital were a volatile agent, hydromorphone, ketorolac, and neostigmine compared with the Japanese hospital where bispectral index monitoring and target-controlled infusions of propofol, remifentanil, acetaminophen, and sugammadex were used., Conclusions: This knowledge can be generally applied in situations at hospitals with regular PACU use when there are such large disruptions to PACU capacity that it is known before a case begins that the anesthesiologist likely will need to recover the patient (i.e., when there will not be an available PACU bed and/or nurse). The Japanese anesthesiologists have no PACU labour costs but likely greater anesthesia drug/monitor costs.

Study Objective: We tested the hypothesis that over many years - a decade - hospitals' proportions of surgical cases that were performed on weekends and holidays remained stable., Design: Retrospective cohort study., Setting: Iowa Hospital Association data were from January 1, 2007, through June 30, 2017. The N = 42 hospitals included were those with at least 10 cases performed during holidays or weekends for each of the periods., Measurements: The number of surgical cases performed at each hospital during each of the 21 half-year periods was considered the count of unique combinations of hospital, patient, and date with at least one major therapeutic procedure., Main Results: Absolute predictive errors in cases per weekend or holiday day were calculated using a proportional model and using a quadratic model for each hospital and half-year period. Pooling among hospitals, the sample mean absolute predictive errors were greater for the proportional model than for the quadratic model (P < 0.0001). However, the mean difference was just 0.0027 cases per weekend or holiday day (SE 0.0001), significantly less than even 1 case per day (P < 0.0001). The sample means of the pairwise differences in predictive errors were smaller than 1 case per day for all 42 hospitals, significantly so for 41 of the 42 hospitals (P ≤ 0.005). These conditions applied to all other hospitals in the state, because each performed few cases on weekends and holidays., Conclusions: For the anesthesia group caring for patients at a hospital over several years, weekend and holiday anesthesia caseload should be expected to increase approximately proportionately to changes during regular workdays. Average weekend workload can be benchmarked using hospitals' percentages of operating room cases performed on weekends and holidays., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: Previously, we studied the relative importance of different institutional interventions that the largest hospital in Iowa could take to grow the anesthesia department's outpatient surgical care. Most (>50%) patients having elective surgery had not previously had surgery at the hospital. Patient perioperative experience was unimportant for influencing total anesthesia workload and numbers of patients. More important was the availability of surgical clinic appointments within several days. These results would be generalizable if the median time from surgery to a patient's next surgical procedure was large (eg, >2 years), among all hospitals in Iowa with outpatient surgery, and without regard to the hospital where the next procedure was performed., Methods: There were 37,172 surgical cases at hospital outpatient departments of any of the 117 hospitals in Iowa from July 1, 2013, to September 30, 2013. Data extracted about each case included its intraoperative work relative value units. The 37,172 cases were matched to all inpatient and outpatient records for the next 2 years statewide using patient linkage identifiers; from these were determined whether the patient had surgery again within 2 years. Furthermore, the cases' 1820 surgeons were matched to the surgeon's next outpatient or inpatient case, both including and excluding other cases performed on the date of the original case., Results: By patient, the median time to their next surgical case, either outpatient or inpatient, exceeded 2 years, tested with weighting by intraoperative relative value units and repeated when unweighted (both P < .0001). Specifically, with weighting, 65.9% (99% confidence interval [CI], 65.2%-66.5%) of the patients had no other surgery within 2 years, at any hospital in the state. The median time exceeded 2 years for multiple categories of patients and similar measures of time to next surgery (all P < .01). In comparison, by surgeon, the median time to the next outpatient surgical case was 1 calendar day (99% CI, 0-1 day). The median was 3 days to the next date with at least 1 outpatient case (99% CI, 3-3 days)., Conclusions: The median time to the next surgery was >2 years for patients versus 1 day for surgeons. Thus, although patients' experiences are an important attribute of quality of care, surgeons' experiences are orders of magnitude more important from the vantage point of marketing and growth of an anesthesia practice.

Study Objective: Three observational studies at large teaching hospitals found that reducing turnover times resulted in the surgeons performing more cases. We sought to determine if these findings are generalizable to other hospitals, because, if so, reducing turnover times may be an important mechanism for hospitals to use for growing caseloads., Design: Observational cohort study., Setting: 116 hospitals in Iowa with inpatient or outpatient surgery from July 1, 2013 through June 30, 2015., Subjects: Surgeons in Iowa, each with a unique identifier among hospitals., Measurements: The independent variable was the number of inpatient and outpatient cases that each surgeon performed each week during the first fiscal year beginning July 1, 2013. The dependent variables were surgeons' number of inpatient and outpatient surgical cases, and intraoperative work relative value units (RVU's) for outpatient cases, during the second fiscal year., Main Results: The average hospital in Iowa had less than half of its growth from year 1 to year 2 in numbers of cases among surgeons who performed >2 cases per week in the baseline year (23.0%±2.5% [SE], P<0.0001 comparing mean to 50%). Less than half the growth in RVU's was among those surgeons (18.1%±2.2%, P<0.0001). The average hospital in Iowa had less than half of its growth in numbers of cases among surgeons who performed 2 or fewer cases per week at the hospital during the baseline year and >2 cases per week at other hospitals in the state during that year (24.4%±2.6%, P<0.0001). Less than half the growth in RVU's was among those surgeons (21.3%±2.5%, P<0.0001)., Conclusions: Most (≥50%) annual growth in surgery, both based on the number of total inpatient and outpatient surgical cases, and on the total outpatient RVU's, was attributable to surgeons who performed 2 or fewer cases per week at each hospital statewide during the preceding year. Therefore, the strategic priority should be to assure that the many low-caseload surgeons have access to convenient OR time (e.g., by allocating sufficient OR time, and assigning surgeon blocks, in a mathematically sound, evidence-based way). Although reducing turnover times and anesthesia-controlled times to promote growth will be beneficial for a few surgeons, the effect on total caseload will be small., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Academic anesthesia departments have management responsibilities (e.g., coordinating sedation, directing the operating rooms [ORs], informatics, ongoing professional performance evaluation, staff scheduling, and workroom inventory management). For each of the 64 faculty, a survey sampled 10 weekdays and 4 weekend days of professional activity over N=56 days. Faculty time in managerial activities was 126% of time spent on education, 107% of time spent in research, and 112% of time spent on mandatory indirect clinical support (e.g., fire safety training). The 95% lower confidence limits calculated using Fieller's theorem were 107%, 89%, and 91%, respectively. Corresponding bootstrap limits were 107%, 89%, and 90%, respectively. Thus, although our College of Medicine tripartite mission includes clinical care, education, and research, administrative activities constitute a "fourth mission" of our department.

General anesthesia or monitored anesthesia care sometimes is provided in nonoperating room (OR) locations during nights and weekends (e.g., for magnetic resonance imaging [MRI] or computerized tomography [CT]). Rational and consistent scheduling and sequencing decisions for these diagnostic imaging procedures, including coordination with OR cases, cannot be done without knowing how long each case can wait to be started without risking a worsening of the patient's condition. We reviewed the medical records of the 81 patients who underwent diagnostic imaging procedures (78 = MRI, 3 = CT scan) under general anesthesia or monitored anesthesia care either on weekends or between 6 pm and 6 am at the University of Iowa Hospitals between March 2012 and February 2014. For 77.8% of patients, the indications could have changed clinical management within 4 hours (N = 63/81). Among the 63 imaging studies with potential immediate impact, there was documentation of results having been communicated to the treating team within 4 hours of the completion of imaging for 39 of the patients. Among the 39 patients, 15 promptly received medications or underwent procedures based on the imaging results. Thus, 15 of the 81 patients had a change in care (18.5%, 95% lower confidence limit = 11.2%). Our results are important since we showed previously that it is not possible to make rational and consistent decisions in case sequencing without knowing how long each case (including diagnostic imaging procedures) can wait to be started without a change in the patient's risk. The scheduled surgical procedure itself provides sufficient information to assess safe waiting times to start add-on cases (e.g., appendectomy). In contrast, MRI provides no context as to how potential findings will influence treatment. Our results show that the assumption cannot reasonably be made when sequencing cases that all imaging studies can or cannot wait longer than pending surgical procedures. Our results show that, for evidence-based OR management decision-making, information to decide appropriate waiting should be obtained electronically or verbally for each imaging study.

Background: Our intention in this case series was to review the postoperative care and neurologic outcomes of patients who had undergone elective endovascular treatment of unruptured intracranial aneurysms. The case series is unique managerially in that a progressively increasing percentage of patients were admitted to the postanesthesia care unit (PACU; 1:2 nurse-to-patient ratio) and subsequently to the neurosurgical ward (1:3 nurse-to-patient ratio) instead of directly to the intensive care unit (ICU; 1:1 nurse-to-patient ratio)., Methods: A retrospective review was performed of 170 consecutive elective endovascular procedures to treat unruptured intracranial aneurysms between July 2009 and September 2012. Data included patient, aneurysm, procedural characteristics, and adverse events within 96 hours after the procedure. Rates of ICU admission and perioperative neurologic adverse events were compared over time., Results: Although direct ICU admission rates decreased over time (P < 0.0001) from 100% to 15%, perioperative neurologic event rates did not change (P = 0.79). Sixteen of 170 patients experienced perioperative neurologic events. The percentages of patients with neurologic events who died or had deficits that did not resolve before discharge were 38% (3 of 8) among patients directly admitted to the ICU versus 38% (3 of 8) among those first admitted to the PACU. Although the duration of anesthesia was greater among patients admitted to the ICU, duration was not useful in predicting decisions on the day of surgery for individual patients. The duration of anesthesia also was not meaningfully associated with information available preoperatively (i.e., for use when scheduling the case)., Conclusions: In centers in which PACU and ward care are comparable to those in this case series, in the absence of intraoperative events with the potential for ongoing cerebral ischemia, most patients undergoing elective endovascular treatment of unruptured cerebral aneurysms can be managed without direct ICU admission. Scheduling all these procedures by using the mean historical anesthesia duration is reasonable.

Background: Anesthesia department planning depends on forecasting future demand for perioperative services. Little is known about long-range forecasting of anesthesia workload., Methods: We studied operating room (OR) times at Hospital A over 16 yr (1991-2006), anesthesia times at Hospital B over 26 yr (1981-2006), and cases at Hospital C over 13 yr (1994-2006). Each hospital is >100 yr old and is located in a US city with other hospitals that are >50 yr old. Hospitals A and B are the sole University hospitals in their metropolitan statistical areas (and many counties beyond). Hospital C is the sole tertiary hospital for >375 km., Results: Each hospital's choice of a measure of anesthesia work to be analyzed was likely unimportant, as the annual hours of anesthesia correlated highly both with annual numbers of cases (r = 0.98) and with American Society of Anesthesiologist's Relative Value Guide units of work (r = 0.99). Despite a 2% decline in the local population, the hours of OR time at Hospital A increased overall (Pearson r = -0.87, P < 0.001) and for children (r = -0.84). At Hospital B, there was a strong positive correlation between population and hours of anesthesia (r = 0.97, P < 0.001), but not between annual increases in population and workload (r = -0.18). At Hospital C, despite a linear increase in population, the annual numbers of cases increased, declined with opening of two outpatient surgery facilities, and then stabilized. The predictive value of local personal income was low. In contrast, the annual increases in the hours of OR time and anesthesia could be modeled using simple time series methods., Conclusions: Although growth of the elderly population is a simple justification for building more ORs, managers should be cautious in arguing for strategic changes in capacity at individual hospitals based on future changes in the national age-adjusted population. Local population can provide little value in forecasting future anesthesia workloads at individual hospitals. In addition, anesthesia groups and hospital administrators should not focus on quarterly changes in workload, because workload can vary widely, despite consistent patterns over decades. To facilitate long-range planning, anesthesia groups and hospitals should save their billing and OR time data, display it graphically over years, and supplement with corresponding forecasting methods (e.g., staff an additional OR when an upper prediction bound of workload per OR exceeds a threshold).

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.

Introduction: A pediatric hospital may aim to show governmental agencies, charitable organizations, and philanthropic individuals how its clinical services differ from those of nonpediatric surgical facilities and of other pediatric hospitals. Yet, it is unknown how to use existing databases to quantify where infants and young children undergo surgery, and to use that information to differentiate among facilities., Methods: Discharge abstracts were used to study inpatient and outpatient operative procedures performed between January and June 2001 in children 0-2 yr old at hospitals or hospital-affiliated outpatient surgery centers in Iowa., Results: Of the 93 facilities performing at least one procedure, the 90 performing 15 or fewer different types of procedures provided surgical care for 80% of procedures. Among procedures performed at these 90 facilities, less than 0.15% were physiologically complex (more than seven American Society of Anesthesiologists' basic units). In contrast, at the larger and smaller pediatric hospitals, the percentages were 26% and 7%, respectively. These pediatric hospitals performed 181 and 73 different types of procedures, respectively; 64% of the physiologically complex procedures performed statewide were performed at the larger pediatric hospital. The smaller pediatric hospital was no more similar to the larger pediatric hospital in its relative volumes of each type of procedure than it was to the other 91 facilities., Conclusions: Statewide discharge abstract data can be used by a hospital to quantify how its surgical practice differs from that of other hospitals (e.g., to show that it provides a more diverse, comprehensive, and physiologically complex selection of procedures in younger patients).