The impact of academic calendar cycle on coronary artery bypass outcomes: a comparison of teaching and non-teaching hospitals

Effect of Hospital Teaching Status on Mortality and Procedural Complications of Percutaneous Paracentesis in the United States: A Four-Year Analysis of the National Inpatient Sample

Objectives

Numerous previous studies investigated the impact of medical training settings on outcomes of hospitalized patients. However, the impact of teaching hospital status on outcomes of percutaneous paracentesis, to the best of our knowledge, has never been studied before.

Methods

Hospitalized patients who underwent percutaneous paracentesis were identified from the National Inpatient Sample database from 2016 to 2019 across the United States (US) teaching and non-teaching hospitals. Outcomes studied were differences in risk of mortality, postprocedural outcomes, and healthcare resource utilization. Multivariate logistic analysis was performed using STATA software (StataCorp LLC, College Station, Texas, US) and results were adjusted for patient and hospital characteristics and comorbidities.

Results

Inpatient mortality rates were significantly higher in patients undergoing paracentesis at US teaching hospitals (adjusted odds ratio (aOR) 1.29, 95%CI 1.23-1.35, p<0.001) compared to non-teaching hospitals. Similarly, higher risk of procedural complications including hemoperitoneum (aOR 1.90, 95%CI 1.65-2.20, p<0.001), hollow viscus perforation (aOR 1.97, 95%CI 1.54-2.51, p<0.001), and vessel injury/laceration (aOR 15.3, 95%CI 2.12-110.2, p=0.007) were noticed in the study group when compared to controls. Furthermore, hospital teaching status was associated with prolonged mean length of stay (9.33 days vs 7.42 days, adjusted mean difference (aMD) 1.81, 95%CI 1.68-1.94, p<0.001) and increased charge of care ($106,014 vs $80,493, aMD $24,926, 95%CI $21,617-$28,235, p <0.001)

Conclusion

Hospitalized patients undergoing paracentesis in US teaching hospitals have an increased risk of mortality, postprocedural complications, prolonged length of stay, and increased charge of care when compared to non-teaching hospitals.

Factors affecting mortality after coronary bypass surgery: a scoping review

Objectives

Previous research reports numerous factors of post-operative mortality in patients undergoing isolated coronary artery bypass graft surgery. However, this evidence has not been mapped to the conceptual framework of care improvement. Without such mapping, interventions designed to improve care quality remain unfounded.

Methods

We identified reported factors of in-hospital mortality post isolated coronary artery bypass graft surgery in adults over the age of 19, published in English between January 1, 2000 and December 31, 2019, indexed in PubMed, CINAHL, and EMBASE. We grouped factors and their underlying mechanism for association with in-hospital mortality according to the augmented Donabedian framework for quality of care.

Results

We selected 52 factors reported in 83 articles and mapped them by case-mix, structure, process, and intermediary outcomes. The most reported factors were related to case-mix (characteristics of patients, their disease, and their preoperative health status) (37 articles, 27 factors). Factors related to care processes (27 articles, 12 factors) and structures (11 articles, 6 factors) were reported less frequently; most proposed mechanisms for their mortality effects.

Conclusions

Few papers reported on factors of in-hospital mortality related to structures and processes of care, where intervention for care quality improvement is possible. Therefore, there is limited evidence to support quality improvement efforts that will reduce variation in mortality after coronary artery bypass graft surgery.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13019-022-01784-z.

Differences and their contexts between teaching and nonteaching hospitals in Iran with other countries: A concurrent mixed-methods study

BACKGROUND

In terms of missions, hospitals are divided into teaching and nonteaching. In addition, differences in health-care systems in countries will lead to differences in hospitals' operation. Iran, as a specific health-care system, is different from other countries. Hence, the present study investigated differences between teaching and nonteaching hospitals and their differences in Iran and the world.

MATERIALS AND METHODS

A concurrent mixed-methods study was conducted in two stages. The first stage was a narrative review of studies (2000-2020). Using narrative inquiry and reflective analysis, the content was analyzed and the categories were extracted. The second stage was a qualitative study conducted using semi-structured interviews with forty Iranian hospital managers and policymakers through a purposive sampling in 2020. Content analysis was made using deductive approach, and MAXQDA 12 was used for data analysis.

RESULTS

According to the first stage, categories were extracted as follows: service quality, type of cases, patient satisfaction, efficiency, performance indicators, patient safety, personnel, use of drugs, access to services, technologies, justice in the type of services received, using guidelines, processes, and number of services. In the second stage, 8 main categories, 17 categories, and 45 subcategories were extracted. The extracted main categories were as follows: mission and target, management and behavioral organizations, supply chain and chain of results, human resources, costs and budget, policy demands, clients' satisfaction and patients' right, and integration of medical education.

CONCLUSION

Unlike other countries, in Iran, the combination of missions and the complete dependence of teaching hospitals on the government has caused differences. Reducing the treatment mission of teaching hospitals; differences in the budget and development of its indicators; lower tariffs for teaching hospitals; developing a cost-income management model and supply chain; preventing uncertainty other than medical students except medicine; considering the clients' right to choose hospital; and organizing research missions in hospitals were the solutions for decrease differences.

Evaluating the Impact of Resident Participation and the July Effect on Outcomes in Autologous Breast Reconstruction

OBJECTIVE

Although resident involvement in surgical procedures is critical for training, it may be associated with increased morbidity, particularly early in the academic year-a concept dubbed the "July effect." Assessments of such phenomena within the field of plastic surgery have been both limited and inconclusive. We sought to investigate the impact of resident participation and academic quarter on outcomes for autologous breast reconstruction.

METHODS

All autologous breast reconstruction cases after mastectomy were gathered from the 2005-2012 American College of Surgeons National Surgical Quality Improvement Program database. Multivariable logistic regression models were constructed to investigate the association between resident involvement and the first academic quarter (Q1 = July-September) with 30-day morbidity (odds ratios [ORs] with 95% confidence intervals). Medical and surgical complications, median operation time, and length of stay (LOS) were also compared.

RESULTS

Overall, 2527 cases were identified. Cases with residents (n = 1467) were not associated with increased 30-day morbidity (OR, 1.20; 0.95-1.52) when compared with those without (n = 1060), although complications including transfusion (OR, 2.08; 1.39-3.13) and return to the operating room (OR, 1.46; 1.11-1.93) were more frequently observed in resident cases. Operation time and LOS were greater in cases with resident involvement.In cases with residents, there was decreased morbidity in Q1 (n = 343) when compared with later quarters (n = 1124; OR, 0.67; 0.48-0.92). Specifically, transfusion (OR, 0.52; 0.29-0.95), return to operating room (OR, 0.64; 0.41-0.98), and surgical site infection (OR, 0.37; 0.18-0.75) occurred less often during Q1. No differences in median operation time or LOS were observed within this subgroup.

CONCLUSIONS

Our study reveals that resident involvement in autologous breast reconstruction is not associated with increased morbidity and offers no evidence for a July effect. Notably, our results suggest that resident cases performed earlier in the academic year, when surgical attendings may offer more surveillance and oversight, is associated with decreased morbidity.

Impact of the academic calendar cycle on survival outcome of injured patients: a retrospective cohort study at a community emergency department in Japan

Background

Commencement of a new academic cycle is presumed to be associated with poor patient outcomes. However, supportive evidence is limited for trauma patients treated in under-resourced hospitals, especially those who require specialized interventions and with little physiological reserve. We examined whether a new academic cycle affects the survival outcomes of injured patients in a typical Japanese teaching hospital.

Methods

This historical cohort study was conducted at a Japanese community emergency department (ED). All injured patients brought to the ED from April 2002 to March 2018 were included in the analysis. The primary exposure was presentation to the ED during the first quartile of the academic cycle (April-June). The primary outcome measure was the hospital mortality rate.

Results

Of the 20,945 eligible patients, 5282 (25.2%) were admitted during the first quartile. In the univariable analysis, the hospital mortality rate was similar between patients admitted during the first quartile of the academic year and those admitted during the remaining quartiles (4.1% vs. 4.4%, respectively; odds ratio [OR], 0.931; 95% confidence interval [CI] 0.796-1.088). After adjusting for the potential confounding factors of the injury severity score, age, sex, Glasgow coma scale score, systolic blood pressure, trauma etiology (blunt or penetrating), and admission phase (2002-2005, 2006-2009, 2010-2013, and 2014-2018), no statistically significant association was present between first-quartile admission and trauma death (adjusted OR 0.980; 95% CI 0.748-1.284). Likewise, when patients were subgrouped according to age of > 55 years, injury severity score of > 15, Glasgow coma scale score of < 9, systolic blood pressure of < 90 mmHg, requirement for doctor car system dispatches, emergency operation, emergency endotracheal intubation, and weekend and night presentation, no significant associations were present between first-quartile admission and hospital mortality in both the univariable and multivariable analysis.

Conclusions

At a community hospital in Japan, admission at the beginning of the academic year was not associated with an increased risk of hospital mortality among trauma patients, even those requiring specialized interventions and with little physiological reserve. Our results support the uniformity of trauma care provision throughout the academic cycle in a typical Japanese trauma system.

The "July Effect" on Shoulder Arthroplasty: Are Complication Rates Higher at the Beginning of the Academic Year?

BACKGROUND

The "July effect" is a colloquialism asserting an increased rate of errors at the start of the academic year in teaching hospitals. This retrospective population-based study evaluated for the presence of the July effect in performing shoulder arthroplasty.

METHODS

Using the Nationwide Inpatient Sample for 2002 through 2011, a total of 178,590 patients undergoing shoulder arthroplasty at academic medical centers were identified and separated into 2 groups: 1) patients admitted during July and 2) patients admitted between August and June. Multivariable logistic regression was used to identify associations with inpatient mortality and adverse events, blood transfusion, prolonged length of stay (>75^th percentile) and non-routine discharge.

RESULTS

After adjusting for patient, procedure, and hospital characteristics in multivariable modeling, admission in July was not associated with increased risk for inpatient mortality (OR 1.6) aggregate morbidity, blood transfusion, prolonged length of stay, and non-routine discharge.

CONCLUSION

This nationwide database analysis shows that shoulder arthroplasty at academic medical centers is not associated with increased perioperative morbidity and resource utilization during the month of July.

Demystifying the "July Effect" in Plastic Surgery: A Multi-Institutional Study

BACKGROUND

The "July Effect" refers to a theoretical increase in complications that may occur with the influx of inexperienced interns and residents at the beginning of each academic year in July.

OBJECTIVES

We endeavored to determine if a July Effect occurs in plastic surgery.

METHODS

Plastic surgery procedures were isolated from the National Surgical Quality Improvement Program registry. Cases involving residents were grouped as either having occurred within the first academic quarter (AQ1) or remaining year (AQ2-4). Groups were propensity matched using patient/operative factors and procedure type to account for baseline differences. Univariate and multivariate regression analyses assessed differences in overall complications, surgical and medical complications, individual complications, length of hospital stay, and operative time. A comparison group comprised of procedures without resident involvement was also analyzed.

RESULTS

There were 5967 cases with resident involvement, 5156 of which successfully matched. Both univariate and multivariate regression analyses revealed no significant differences between AQ1 and AQ2-4 in terms of overall, surgical, medical and individual complications, or length of hospital stay. There was a statistically significant, albeit not clinically significant, increase in operative time by 10 minutes per procedure during AQ1 in comparison to AQ2-4 (P = 0.001). For procedures lacking resident participation, there were no differences between AQ1 and AQ2-4 in terms of these outcomes.

CONCLUSIONS

A July Effect was not observed for plastic surgery procedures in our study, conceivably due to enhanced resident oversight and infrastructural safeguards. Patients electing to undergo plastic surgery early in the academic year can be reassured of their safety during this period.

Operative Intervention of Supracondylar Humerus Fractures More Complicated in July: Analysis of the July Effect

BACKGROUND

The "July Effect" involves the influx of new interns and residents early in the academic year (July and August), which may have greater potential for poorer patient outcomes. Current orthopaedic literature does not demonstrate the validity of this concept in arthroplasty, spine, hand, and arthroscopy. No study has investigated the possibility of this effect on common pediatric orthopaedic procedures, such as closed reduction and percutaneous pin fixation of supracondylar humerus fractures.

METHODS

A retrospective review of all type II or III supracondylar humerus fractures that underwent primary closed reduction and percutaneous pin fixation (CPT code 24538) at a single pediatric level 1 trauma center from July 2009 to June 2013. Patients were grouped according to time in the academic year: early (July and August) and late (May and June). Demographic data included length of follow-up, age at surgery, sex, side of injury, and Wilkin's modified Gartland classification. Outcomes included length of operation, number of pins used, length of stay, complications, and the need for repeat surgery.

RESULTS

There were 245 patients, 101 in the early and 144 in the late group. There was no increase in surgical time [33.32±24.74 (early) vs. 28.63±10.06 (late) min, P=0.07) or complication rates [7.0% (early) vs. 2.1% (late), P=0.06) between the early and the late groups. Cases performed with junior residents demonstrated longer operative (31.72±17.07 vs. 28.96±18.71 min, P=0.02) and fluoroscopy (48.63±30.96 vs. 34.12±27.38 s, P=0.01) times.

CONCLUSIONS

The academic orthopaedic surgeon must ensure the education of residents, while providing the highest level of safety to patients. Our study shows that education of young residents early in the academic year results in no increase in operative times, radiation exposure, or complications.

LEVEL OF EVIDENCE

Level III.

Association Between Teaching Status and Mortality in US Hospitals

IMPORTANCE

Few studies have analyzed contemporary data on outcomes at US teaching hospitals vs nonteaching hospitals.

OBJECTIVE

To examine risk-adjusted outcomes for patients admitted to teaching vs nonteaching hospitals across a broad range of medical and surgical conditions.

DESIGN, SETTING, AND PARTICIPANTS

Use of national Medicare data to compare mortality rates in US teaching and nonteaching hospitals for all hospitalizations and for common medical and surgical conditions among Medicare beneficiaries 65 years and older.

EXPOSURES

Hospital teaching status: major teaching hospitals (members of the Council of Teaching Hospitals), minor teaching hospitals (other hospitals with medical school affiliation), and nonteaching hospitals (remaining hospitals).

MAIN OUTCOMES AND MEASURES

Primary outcome was 30-day mortality rate for all hospitalizations and for 15 common medical and 6 surgical conditions. Secondary outcomes included 30-day mortality stratified by hospital size and 7-day mortality and 90-day mortality for all hospitalizations as well as for individual medical and surgical conditions.

RESULTS

The sample consisted of 21 451 824 total hospitalizations at 4483 hospitals, of which 250 (5.6%) were major teaching, 894 (19.9%) were minor teaching, and 3339 (74.3%) were nonteaching hospitals. Unadjusted 30-day mortality was 8.1% at major teaching hospitals, 9.2% at minor teaching hospitals, and 9.6% at nonteaching hospitals, with a 1.5% (95% CI, 1.3%-1.7%; P < .001) mortality difference between major teaching hospitals and nonteaching hospitals. After adjusting for patient and hospital characteristics, the same pattern persisted (8.3% mortality at major teaching vs 9.2% at minor teaching and 9.5% at nonteaching), but the difference in mortality between major and nonteaching hospitals was smaller (1.2% [95% CI, 1.0%-1.4%]; P < .001). After stratifying by hospital size, 187 large (≥400 beds) major teaching hospitals had lower adjusted overall 30-day mortality relative to 76 large nonteaching hospitals (8.1% vs 9.4%; 1.2% difference [95% CI, 0.9%-1.5%]; P < .001). This same pattern of lower overall 30-day mortality at teaching hospitals was observed for medium-sized (100-399 beds) hospitals (8.6% vs 9.3% and 9.4%; 0.8% difference between 61 major and 1207 nonteaching hospitals [95% CI, 0.4%-1.3%]; P = .003). Among small (≤99 beds) hospitals, 187 minor teaching hospitals had lower overall 30-day mortality relative to 2056 nonteaching hospitals (9.5% vs 9.9%; 0.4% difference [95% CI, 0.1%-0.7%]; P = .01).

CONCLUSIONS AND RELEVANCE

Among hospitalizations for US Medicare beneficiaries, major teaching hospital status was associated with lower mortality rates for common conditions compared with nonteaching hospitals. Further study is needed to understand the reasons for these differences.

The "July effect" in total shoulder arthroplasty

BACKGROUND

New medical doctors enter their residency fields in July, a time in the hospital in which patient morbidity and mortality rates are perceived to be higher. It remains controversial whether a "July effect" exists in different areas of medicine and surgery, including in orthopedic surgery. The purpose of this study is to test for the July effect in patients undergoing primary total shoulder arthroplasty (TSA).

METHODS

Patients who underwent primary TSA from 2005-2012 were identified using the American College of Surgeons National Surgical Quality Improvement Program database. Cases were categorized as involving residents or fellows and as occurring during the first academic quarter. Rates of composite and any adverse event outcomes were compared between patient groups using multivariate logistic regression.

RESULTS

A total of 1591 patients met the inclusion criteria. Of these cases, 711 (44.7%) had resident or fellow involvement and 390 (24.5%) were performed in the first academic quarter. There were few demographic and comorbidity differences between cases with and without residents or fellows or between cases performed during the first quarter and during the rest of the year. Overall, the rate of serious adverse events was 1.6% and the rate of any adverse events was 6.5%.

DISCUSSION AND CONCLUSION

Using one of the largest cohorts of primary TSA patients, this study could not provide evidence for a July effect. In the context of the recent growth in the volume of TSA procedures, these findings provide important reassurance to patients that it is safe to schedule their elective procedures at training institutions during the first part of the academic year.

Deconstructing the "July Effect" in Operative Outcomes: A National Study

This study analyzes the relationship between hospital teaching status, failure to rescue, and time of year in select gastrointestinal operations. Procedure codes for laparoscopic cholecystectomy, colectomy, and pancreatectomy were queried from the Nationwide Inpatient Sample (2004-2011). Failure to rescue was defined as inpatient mortality when ≥1 complication. A total of 2,777,267 laparoscopic cholecystectomies, 2,519,903 colectomies, and 129,619 pancreatectomies were performed. Teaching hospitals had increased overall rates of failure to rescue compared to non-teaching hospitals, 10.0 vs. 9.5 % (p = 0.0187), particularly between May and August. There was greater inter-month variability in non-teaching hospitals amongst individual operations. On multivariable analysis, July was not predictive of increased odds of failure to rescue. Teaching status, hospital characteristics, and patient demographics were associated with increased odds of failure to rescue. Although teaching hospitals have a higher overall failure to rescue rate amongst the selected gastrointestinal operations, odds of failure to rescue are not increased in the month of July. Non-teaching hospitals tend to exhibit more monthly variation in failure to rescue rates, and hospital/patient demographics are predictive of failure to rescue. Further investigation targeted at identifying drivers of temporal variation is warranted to optimize patient outcomes.