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Objective: The “July Effect” is a theory that the influx of trainees from July to September negatively impacts patient outcomes. We aimed to study this theoretical phenomenon in lung transplant recipients given the highly technical nature of thoracic procedures. Methods: Adult lung transplant hospitalizations were identified within the National Inpatient Sample (2005-2020). Recipients were categorized as academic Q1 (July to September) or Q2-Q4 (October to June). In-hospital mortality, operator-driven complications (pneumothorax, dehiscence including wound dehiscence, bronchial anastomosis, and others, and vocal cord/diaphragm paralysis, all 3 treated as a composite outcome), length of stay, and inflation-adjusted hospitalization charges were compared between both groups. Multivariable logistic regression was performed to assess the association between academic quarter and in-hospital mortality and operator-driven complications. The models were adjusted for recipient demographics and transplant characteristics. Subgroup analysis was performed between academic and nonacademic hospitals. Results: Of 30,788 lung transplants, 7838 occurred in Q1 and 22,950 occurred in Q2-Q4. Recipient demographic and clinical characteristics were similar between groups. Dehiscence (n = 922, 4% vs n = 236, 3%), post-transplant cardiac arrest (n = 532, 2% vs n = 113, 1%), and pulmonary embolism (n = 712, 3% vs n = 164, 2%) were more common in Q2-Q4 versus Q1 recipients (all P .05). These inferences remained unchanged in adjusted analyses and on subgroup analyses of academic versus nonacademic hospitals. Conclusions: The “July Effect” is not evident in US lung transplantation recipient outcomes during the transplant hospitalization. This suggests that current institutional monitoring systems for trainees across multiple specialties, including surgery, anesthesia, critical care, nursing, and others, are robust.

Abstract Objective There are reports of a potential rise in a teaching hospital’s morbidity and mortality rates during the trainee turnover period, i.e., with the induction of new residents and house staffs, and the changeover of clinical teams. The published literature displays mixed reports on this topic with lack of reproducible observations. The current study was conducted to explore existence of any such phenomenon (January effect) in Pakistan. Methods This retrospective cohort study was conducted at Aga Khan University Hospital, Karachi, Pakistan. Five-year (2013–2018) record of all the patients in all age groups related to these outcomes was retrieved and recorded in specifically designed questionnaire. Different outcome measures were used as indicators of patient care and change in these outcomes at the time of new induction was related to possible January effect. Results During the five-year study period, more than 1100 new trainees were inducted into the post graduate medical education program (average of 237 per year) with more than 22,000 inpatient admissions (average of 45,469 per year). Some patterns were observed in frequencies of surgical site infections, medication errors, sentinel events, patient complaints, and adverse drug reactions. However, these were not consistently reproducible and could not be directly attributed to the trainee turnover. All other indicators did not show any pattern and were considered inconclusive. No effect of overlap was observed. Conclusions Inconsistency in the patient care quality indicators do not favor existence of January effect in our study. Further research is recommended to establish our results.

Objective: There are reports of a potential rise in a teaching hospital's morbidity and mortality rates during the trainee turnover period, i.e., with the induction of new residents and house staffs, and the changeover of clinical teams. The published literature displays mixed reports on this topic with lack of reproducible observations. The current study was conducted to explore existence of any such phenomenon (January effect) in Pakistan. Methods: This retrospective cohort study was conducted at Aga Khan University Hospital, Karachi, Pakistan. Five-year (2013–2018) record of all the patients in all age groups related to these outcomes was retrieved and recorded in specifically designed questionnaire. Different outcome measures were used as indicators of patient care and change in these outcomes at the time of new induction was related to possible January effect. Results: During the five-year study period, more than 1100 new trainees were inducted into the post graduate medical education program (average of 237 per year) with more than 22,000 inpatient admissions (average of 45,469 per year). Some patterns were observed in frequencies of surgical site infections, medication errors, sentinel events, patient complaints, and adverse drug reactions. However, these were not consistently reproducible and could not be directly attributed to the trainee turnover. All other indicators did not show any pattern and were considered inconclusive. No effect of overlap was observed. Conclusions: Inconsistency in the patient care quality indicators do not favor existence of January effect in our study. Further research is recommended to establish our results. [ABSTRACT FROM AUTHOR]

• Teaching hospitals experience no negative effects on STEMI patients in summer with new residents, fellows, and attendings. • Given the limitations of HCUP databases including the (NRD), a prospective cohort study may be needed to confirm findings. [ABSTRACT FROM AUTHOR]

Esophagogastroduodenoscopy (EGD) is a common procedure used for both diagnosis and treatment, but carries risks such as bleeding and perforation. The "July effect"—described as increased complication rates during the transition of new trainees—has been studied in other procedures, but has not been thoroughly evaluated for EGD. We used the National Inpatient Sample database for 2016 to 2018 to compare outcomes in EGD performed between July to September and April to June. Approximately 0.91 million patients in the study received EGD between July to September (49.35%) and April to June (50.65%), with no significant differences between the two groups in terms of age, gender, race, income, or insurance status. Of the 911,235 patients, 19,280 died during the study period following EGD, 2.14% (July–September) vs 1.95% (April–June), with an adjusted odds ratio of 1.09 (P < 0.01). The adjusted total hospitalization charge was $2052 higher in July–September ($81,597) vs April to June ($79,023) (P < 0.005). The mean length of stay was 6.8 days (July–September) vs 6.6 days (April–June) (P < 0.001). The results of this study are reassuring as the July effect on inpatient outcomes for EGDs was not significantly different according to our study. We recommend seeking prompt treatment and improving new trainee training and interspecialty communication for better patient outcomes. [ABSTRACT FROM AUTHOR]

Objective To assess the "July effect" and the risk of postpartum hemorrhage (PPH) and its risk factors across the U.S. teaching hospitals. Method This study used the 2018 Nationwide Inpatient Sample (NIS) and included 2,056,359 of 2,879,924 single live-birth hospitalizations with low-risk pregnancies across the U.S. teaching hospitals. The International Classification of Diseases, Tenth Revision (ICD-10) from the American Academy of Professional Coders (AAPC) medical coding was used to identify PPH and other study variables. Multivariable logistic regression models were used to compare the adjusted odds of PPH risk in the first and second quarters of the academic year vs. the second half of the academic year. Results Postpartum hemorrhage occurred in approximately 4.19% of the sample. We observed an increase in the adjusted odds of PPH during July through September (adjusted odds ratios (AOR), 1.05; confidence interval (CI), 1.02–1.10) and October through December (AOR, 1.07; CI, 1.04–1.12) compared to the second half of the academic year (January to June). Conclusions This study showed a significant "July effect" concerning PPH. However, given the mixed results concerning maternal outcomes at the time of childbirth other than PPH, more research is needed to investigate the "July effect" on the outcomes of the third stage of labor. This study's findings have important implications for patient safety interventions concerning MCH. [ABSTRACT FROM AUTHOR]

To investigate the role of seasonality on postoperative complications after spinal surgery. Data were obtained from the American College of Surgeons National Surgical Quality Improvement Program database from 2011 to 2018. Current Procedural Terminology codes were used to identify the following procedures: posterior cervical decompression and fusion, cervical laminoplasty, posterior lumbar fusion, lumbar laminectomy, and spinal deformity surgery. The database was queried for deep vein thrombosis (DVT), pulmonary embolism, pneumonia, sepsis, septic shock, Clostridium difficile infection, stroke, cardiac arrest, myocardial infarction, urinary tract infection (UTI), and early unplanned hospital readmission (readmission). Warm season was defined as April–September, whereas cold season was defined as October–March. Statistical analysis included computing overall complication rates and comparison between seasons using univariate analysis and multivariable logistic regression. A total of 208,291 individuals underwent spinal surgery from 2011 to 2018. There was a statistically significant increase in UTI (odds ratio [OR], 1.16; 95% confidence interval [CI], 1.07–1.26; P = 0.0002) and readmission (OR, 1.06; 95% CI, 1.02–1.11, P = 0.007) in the warm season compared with the cold season. An investigation into the July effect showed increases in DVT (OR, 1.24; 95% CI, 1.03–1.48; P = 0.020) and thromboembolic events (OR 1.17; 95% CI, 1.01–1.35; P = 0.032) in July–September compared with the preceding 3 months. The results showed a higher incidence of UTI and readmission among spine surgery patients in the warm season and a higher incidence of DVT and thromboembolic events from July to September. In both cases, the effect of seasonality is statistically significant, but the absolute difference is small and may not suggest policy changes. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to critically evaluate whether admission at the beginning versus end of the academic year is associated with increased risk of major adverse outcomes. Summary Background Data: The hypothesis that the arrival of new residents and fellows is associated with increases in adverse patient outcomes has been the subject of numerous research studies since 1989. Methods: We conducted a systematic review and random-effects meta-analysis of July Effect studies published before December 20, 2019, looking for differences in mortality, major morbidity, and readmission. Given a paucity of studies reporting readmission, we further analyzed 7 years of data from the Nationwide Readmissions Database to assess for differences in 30-day readmission for US patients admitted to urban teaching versus nonteach-ing hospitals with 3 common medical (acute myocardial infarction, acute ischemic stroke, and pneumonia) and 4 surgical (elective coronary artery bypass graft surgery, elective colectomy, craniotomy, and hip fracture) conditions using risk-adjusted logistic difference-in-difference regression. Results: A total of 113 studies met inclusion criteria; 92 (81.4%) reported no evidence of a July Effect. Among the remaining studies, results were mixed and commonly pointed toward system-level discrepancies in efficiency. Metaanalyses of mortality [odds ratio (95% confidence interval): 1.01 (0.98–1.05)] and major morbidity [1.01 (0.99–1.04)] demonstrated no evidence of a July Effect, no differences between specialties or countries, and no change in the effect over time. A total of 5.98 million patient encounters were assessed for readmission. No evidence of a July Effect on readmission was found for any of the 7 conditions. Conclusion: The preponderance of negative results over the past 30 years suggests that it might be time to reconsider the need for similarly-themed studies and instead focus on system-level factors to improve hospital efficiency and optimize patient outcomes. [ABSTRACT FROM AUTHOR]

Megan Pagan,1 Ann Marie Mercier,1 Dayna Whitcombe,1 Songthip T Ounpraseuth,2 Everett F Magann,1 Amy Phillips1 1Department of Obstetrics & Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA; 2Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USACorrespondence: Everett F MagannDepartment of Obstetrics & Gynecology, Division of Maternal Fetal Medicine, University of Arkansas for Medical Sciences, 4301 W. Markham Street Slot #518, Little Rock, AR, 72205, USA, Tel +1-501-686-8345, Email efmagann@uams.eduObjective: The July effect represents the month when interns begin residency and residents advance with increased responsibility. This has not been well studied in Obstetrics and Gynecology residencies and no study has been conducted evaluating obstetric outcomes. The purpose of this study was to evaluate the July effect on obstetric outcomes. Women who delivered between July and September (quarter 1) were compared to those delivering between April and June (quarter 4).Methods: This retrospective cohort study compared outcomes of deliveries between quarter 1 and quarter 4 from 2017 to 2020. Outcomes evaluated were postpartum length of stay (LOS), postpartum readmission, wound complication, wound infection, blood transfusion, estimated blood loss, 3rd and 4th degree lacerations, 5 min APGAR scores, and cesarean delivery rates.Results: There were 3693 deliveries in quarter 1 and 3107 deliveries in quarter 4. There was a higher incidence Of wound infection during the April–June period (N = 21; 0.68%) compared to July–September (N = 10; 0.27%; p = 0.0135). Although LOS for both periods were the same, the average postpartum LOS during July–September was slightly longer than April–June (1.7 days; SD = 1.1 vs 1.6 days; SD = 1.2; p = 0.0026). All other pregnancy outcomes were similar between the two groups.Conclusion: Overall, the July effect is minimal on obstetric complications. However, LOS between July and September may differ because all residents are less experienced in quarter 1. Wound infection rates were higher in April–June, perhaps because new PGY-1s went from assisting to primary on cesarean surgeries starting in the 4th quarter of the year.Keywords: July effect, obstetrics, interns, obstetric outcomes, residents

Objective To assess the “July effect” and the risk of postpartum hemorrhage (PPH) and its risk factors across the U.S. teaching hospitals. Method This study used the 2018 Nationwide Inpatient Sample (NIS) and included 2,056,359 of 2,879,924 single live-birth hospitalizations with low-risk pregnancies across the U.S. teaching hospitals. The International Classification of Diseases, Tenth Revision (ICD-10) from the American Academy of Professional Coders (AAPC) medical coding was used to identify PPH and other study variables. Multivariable logistic regression models were used to compare the adjusted odds of PPH risk in the first and second quarters of the academic year vs. the second half of the academic year. Results Postpartum hemorrhage occurred in approximately 4.19% of the sample. We observed an increase in the adjusted odds of PPH during July through September (adjusted odds ratios (AOR), 1.05; confidence interval (CI), 1.02–1.10) and October through December (AOR, 1.07; CI, 1.04–1.12) compared to the second half of the academic year (January to June). Conclusions This study showed a significant “July effect” concerning PPH. However, given the mixed results concerning maternal outcomes at the time of childbirth other than PPH, more research is needed to investigate the “July effect” on the outcomes of the third stage of labor. This study’s findings have important implications for patient safety interventions concerning MCH.

Background: Seasonal trends in patient outcomes are an under-researched area in perioperative care. This systematic review evaluates the published literature on seasonal variation in surgical outcomes worldwide.Methods: MEDLINE, Embase, Cochrane, CINHAL, and Web of Science were searched for studies on major surgical procedures, examining mortality or other patient-relevant outcomes, across seasonal periods up to February 2019. Major surgery was defined as a procedure requiring an overnight stay in an inpatient medical facility. We included studies exploring variation according to calendar and meteorological seasons and recurring annual events including staff turnover. Quality was assessed using an adapted Downs and Black scoring system.Results: The literature search identified 82 studies, including 22 210 299 patients from four continents. Because of the heterogeneity of reported outcomes and literature scope, a narrative synthesis was undertaken. Mass staff changeover was investigated in 37 studies; the majority (22) of these did not show strong evidence of worse outcomes. Of the 47 studies that examined outcomes across meteorological or calendar seasons, 33 found evidence of seasonal variation. Outcomes were often worse in winter (16 studies). This trend was particularly prominent amongst surgical procedures classed as an 'emergency' (five of nine studies). There was evidence for increased postoperative surgical site infections during summer (seven of 12 studies examining this concept).Conclusion: This systematic review provides tentative evidence for an increased risk of postoperative surgical site infections in summer, and an increased risk of worse outcomes after emergency surgery in winter and during staff changeover times.Clinical Trial Registration: PROSPERO CRD42019137214. [ABSTRACT FROM AUTHOR]

Background: The “July effect”, the perception of worse outcomes in the first month of training, has been previously demonstrated in critical care medicine and general surgery. However, the July effect in the context of structural heart interventions (i.e., transcatheter aortic valve replacement [TAVR] and MitraClip) remains unknown. Methods: All adult patients undergoing TAVR or MitraClip in the 2012-2016 National Inpatient Sample were included. Outcomes were compared by procedure month and academic year quartiles (i.e., between the first academic year quartile [Q1] vs. the fourth quartile [Q4]). Outcomes between teaching and nonteaching hospitals were compared using risk-adjusted logistic difference-in-difference regression. Results: During the study period, 94,170 TAVR (Q1: 25,250; Q4: 23,170) and 8750 MitraClip (Q1: 2220; Q4: 2150) procedures were performed. In-hospital mortality did not vary as per academic year quartiles for either procedure, even after risk adjustment. These findings persisted in sensitivity analysis by procedure month and newer device era (2015-2016; all p > 0.05). In the subgroup analysis, the unadjusted and adjusted Q1 vs. Q4 in-hospital mortality between teaching and nonteaching hospitals were similar for either procedure. In-hospital mortality also did not vary by procedure month when stratified by hospital teaching status for both procedures. However, postprocedural complication rates appeared to be improving among the TAVR teaching hospitals for stroke, major bleeding, and vascular complications (all p < 0.05). Conclusions: In this large, nationwide study, the July effect was not evident for structural heart interventions. With increasing interest and growth in transcatheter procedures, early resident and fellow teaching can be achieved with appropriate supervision.

To compare rates of operative complications between the earlier and later academic periods. This was a retrospective cohort study of women undergoing cesarean delivery at 23 weeks' gestation or greater during the academic calendar between 2012 and 2017. Our primary outcome was a composite of surgical complications including hemorrhage (4 or more red blood cell transfusion), bladder injury, bowel injury, neonatal injury, cellulitis, wound complications, intensive care unit admission, and readmission. Outcomes were compared between two periods – the earlier academic period (July and August) and the later academic period (April and May). Multivariable logistic regression or linear regression was performed, controlling for predefined covariates. There were 1251 and 1111 cesarean delivery in the earlier and later academic periods, respectively. The earlier academic period compared to the late academic period was associated with a minute longer incision to delivery time (9 versus 8 min, adjusted p <.01) and a 2.5-min longer surgical duration (49 versus 46.5 min, adjusted p <.01). There was no difference in the primary outcome (10.5 versus 9.6%; adjusted odds ratio 1.11 [0.84–1.46]). Cesarean deliveries performed in the early months of the academic period was not associated with increased odds of surgical complications. [ABSTRACT FROM AUTHOR]

Introduction: The “July effect” refers to the potential of adverse clinical outcomes related to the annual turnover of trainees. We investigated whether this impacts inpatient heart failure (HF) outcomes. Methods: Data from all adults (≥18 years) admitted with a primary diagnosis of HF at US teaching hospitals from the 2012–2014 National Inpatient Sample were analyzed. Non-teaching hospital admissions were excluded. The primary outcome was in-hospital mortality. Secondary metrics included hospital length of stay (LOS) and total cost adjusted for inflation. Logistic and linear regression models were used to adjust for confounders. Admissions were classified into 4 quarters (Q1–Q4), based on the academic calendar. Q1 and Q4 were designated to assess the effect of novice (July effect) versus experienced trainees, respectively. Results: There were 699,675 HF admissions during Q1 and Q4 in the study period. Mean age was 71 ± 15 years and 48% were females. There were 20,270 in-hospital deaths, with no difference between Q1 and Q4; crude odds ratio (OR) 1.00, 95% confidence interval (CI) 0.94–1.07, p = 0.95. After risk adjustment, there was no in-hospital mortality difference between Q1 and Q4 admissions; adjusted OR 0.96, 95% CI 0.89–1.03, p = 0.23. There was no difference in hospital LOS or total cost; 5.8 versus 5.8 days, p = 0.66 and $13,755 versus $13,586, p = 0.46, in Q1 and Q4, respectively. Conclusions: In this nationally representative sample, there was no evidence of a “July effect” on inpatient HF outcomes in the US. This suggests that HF patients should not delay seeking care during trainee transitions at teaching hospitals.

Study Design: Retrospective analysis of a prospective registry.Objective: We utilized the Quality Outcomes Database (QOD) registry to investigate the "July Effect" at QOD spondylolisthesis module sites with residency trainees.Summary Of Background Data: There is a paucity of investigation on the long-term outcomes following surgeries involving new trainees utilizing high-quality, prospectively collected data.Methods: This was an analysis of 608 patients who underwent single-segment surgery for grade 1 degenerative lumbar spondylolisthesis at 12 high-enrolling sites. Surgeries were classified as occurring in July or not in July (non-July). Outcomes collected included estimated blood loss, length of stay, operative time, discharge disposition, complications, reoperation and readmission rates, and patient-reported outcomes (Oswestry Disability Index [ODI], Numeric Rating Scale [NRS] Back Pain, NRS Leg Pain, EuroQol-5D [EQ-5D] and the North American Spine Society [NASS] Satisfaction Questionnaire). Propensity score-matched analyses were utilized to compare postoperative outcomes and complication rates between the July and non-July groups.Results: Three hundred seventy-one surgeries occurred at centers with a residency training program with 21 (5.7%) taking place in July. In propensity score-matched analyses, July surgeries were associated with longer operative times ( average treatment effect = 22.4 minutes longer, 95% confidence interval 0.9-449.0, P = 0.041). Otherwise, July surgeries were not associated with significantly different outcomes for the remaining perioperative parameters (estimated blood loss, length of stay, discharge disposition, postoperative complications), overall reoperation rates, 3-month readmission rates, and 24-month ODI, NRS back pain, NRS leg pain, EQ-5D, and NASS satisfaction score (P > 0.05, all comparisons).Conclusion: Although July surgeries were associated with longer operative times, there were no associations with other clinical outcomes compared to non-July surgeries following lumbar spondylolisthesis surgery. These findings may be due to the increased attending supervision and intraoperative education during the beginning of the academic year. There is no evidence that the influx of new trainees in July significantly affects long-term patient-centered outcomes.Level of Evidence: 3. [ABSTRACT FROM AUTHOR]

Purpose: Reporting efficiency is commonly used to measure performance and quality in diagnostic imaging. For academic centers, balancing the clinical demand for efficient reporting and educational obligation to trainees remains a major challenge. The objective of this study was to quantify the effect of trainee education on reporting efficiency over the academic year (July to June) for a single diagnostic imaging examination type.Methods: The authors reviewed a 10-year data set of lumbar spinal MRI reports and time-stamp data and compared change in mean reporting time for trainee versus attending radiologist-only reports. Odds ratios, linear regression, and correlation analysis were performed to evaluate relationships of mean and cumulative reporting times, volume, and study month.Results: Mean reporting time for the trainee group peaked in July (287.2 ± 4.9 min). The largest month-to-month increase was from June to July (+46.3 min, P < .01) for the trainees, and July showed the largest deviation from annualized mean reporting time (odds ratio, 1.31; 95% confidence interval, 1.16-1.47; P < .001). Mean reporting time improved linearly over the course of the academic year from July to June for trainees (R2 = 0.59, P = .002), but this effect was absent in the attending radiologist-only group (P = .52).Conclusions: This study quantifies the effect of trainee education on reporting efficiency and models the operational "learning curve" of improved performance over the academic year. These data may inform staffing and workflow improvement efforts in academic radiology departments. [ABSTRACT FROM AUTHOR]

Objective: To investigate the effect of weekend admission and July admission on the short-term outcome of patients following a non-pyogenic cerebral venous thrombosis. Methods: Data from the National Inpatient Sample were gathered from the years 2013–2016. Patients who had a non-pyogenic cerebral venous thrombosis were identified. Admissions on the weekend were compared to those on the weekdays, as well as July admissions compared to other months. Outcome measures included inpatient mortality, length of stay, APR-DRG severity and mortality risk scores, non-routine discharges, complications, and total charges. Results: We identified 1116 patients who were admitted with a non-pyogenic cerebral venous thrombosis between 2013 and 2016. Of those, 243 (21.8%) were admitted on a weekend day (Saturday/Sunday), and 873 (78.2%) were admitted on a weekday. Of the 963 patients admitted to a teaching hospital, 81 (8.4%) were admitted in July and 882 (91.6%) were admitted in other months. When analyzing the weekend effect, there were significant differences observed in patient mortality (7.4% vs 3.9%, P = 0.022, OR = 1.967), adjusted log length of stay (0.874 ± 0.567 vs 0.795 ± 0.494, P = 0.033), and the rate of sepsis (6.6% vs 3.4%, P = 0.029, OR = 1.978). The means of all other measures of outcome were elevated when comparing the weekend vs weekday. When analyzing the July effect, there were no significant differences observed for any outcome measures. Conclusions: Patients admitted on the weekend with a nonpyogenic intracranial venous thrombosis have significantly worse outcomes compared to those admitted on a weekday. There were no significant differences found between patients admitted in the month of July compared to other months.

Objective: The "July Effect" is a theory that the influx of trainees from July to September negatively impacts patient outcomes. We aimed to study this theoretical phenomenon in lung transplant recipients given the highly technical nature of thoracic procedures., Methods: Adult lung transplant hospitalizations were identified within the National Inpatient Sample (2005-2020). Recipients were categorized as academic Q1 (July to September) or Q2-Q4 (October to June). In-hospital mortality, operator-driven complications (pneumothorax, dehiscence including wound dehiscence, bronchial anastomosis, and others, and vocal cord/diaphragm paralysis, all 3 treated as a composite outcome), length of stay, and inflation-adjusted hospitalization charges were compared between both groups. Multivariable logistic regression was performed to assess the association between academic quarter and in-hospital mortality and operator-driven complications. The models were adjusted for recipient demographics and transplant characteristics. Subgroup analysis was performed between academic and nonacademic hospitals., Results: Of 30,788 lung transplants, 7838 occurred in Q1 and 22,950 occurred in Q2-Q4. Recipient demographic and clinical characteristics were similar between groups. Dehiscence (n = 922, 4% vs n = 236, 3%), post-transplant cardiac arrest (n = 532, 2% vs n = 113, 1%), and pulmonary embolism (n = 712, 3% vs n = 164, 2%) were more common in Q2-Q4 versus Q1 recipients (all P  < .05). Other operator-driven complications, in-hospital mortality, and resource use were similar between groups ( P  > .05). These inferences remained unchanged in adjusted analyses and on subgroup analyses of academic versus nonacademic hospitals., Conclusions: The "July Effect" is not evident in US lung transplantation recipient outcomes during the transplant hospitalization. This suggests that current institutional monitoring systems for trainees across multiple specialties, including surgery, anesthesia, critical care, nursing, and others, are robust., Competing Interests: The authors reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling or reviewing manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest., (© 2024 The Author(s).)

Background: The arrival of new residents brings challenges for residency programs and residents. Many residency programs conduct orientation sessions to help transition rising supervisory residents into their new roles, but no evaluation of their impact on residents' emotional well-being has been performed. Objective: This study assesses the impact of a half-day orientation retreat on rising internal medicine post-graduate year (PGY) 2 residents' emotions toward PGY2 year and their self-confidence in fulfilling the supervisory resident role. Design: A survey was administered to a class of rising supervisory residents immediately before and after an orientation retreat in May 2017. The survey provided participants an open-ended prompt to describe their emotions toward PGY2 year and a 5-point Likert scale to rate their confidence in fulfilling supervisory resident roles. Differences were assessed using McNemar's exact and Wilcoxon signed-rank tests, respectively. Results: Forty-four of 50 (88%) eligible participants completed pre- and post-intervention Likert scales and 40 of 50 (80%) eligible participants completed corresponding emotion sections. Pre-intervention the most common emotions were anxiety (n = 33, 82.5%) and excitement (n = 32, 80.0%). Post-intervention, participants' fear was reduced (45.0% vs 12.0%; p < 0.001). Participants reported greater confidence that internship prepared them for PGY2 year and understanding of triaging and admitting principles (agree or strongly agree from 65.9% to 84.0% and from 25.0% to 68.2%, respectively; p < 0.005 for improvement by Wilcoxon signed-rank for both). Conclusions: Orientation retreats may be an effective way to reduce fear and demystify the supervisory resident role. [ABSTRACT FROM AUTHOR]

Background: The arrival of new residents brings challenges for residency programs and residents. Many residency programs conduct orientation sessions to help transition rising supervisory residents into their new roles, but no evaluation of their impact on residents’ emotional well-being has been performed. Objective: This study assesses the impact of a half-day orientation retreat on rising internal medicine post-graduate year (PGY) 2 residents’ emotions toward PGY2 year and their self-confidence in fulfilling the supervisory resident role. Design: A survey was administered to a class of rising supervisory residents immediately before and after an orientation retreat in May 2017. The survey provided participants an open-ended prompt to describe their emotions toward PGY2 year and a 5-point Likert scale to rate their confidence in fulfilling supervisory resident roles. Differences were assessed using McNemar’s exact and Wilcoxon signed-rank tests, respectively. Results: Forty-four of 50 (88%) eligible participants completed pre- and post-intervention Likert scales and 40 of 50 (80%) eligible participants completed corresponding emotion sections. Pre-intervention the most common emotions were anxiety (n = 33, 82.5%) and excitement (n = 32, 80.0%). Post-intervention, participants’ fear was reduced (45.0% vs 12.0%; p

Each July thousands begin medical residencies and acquire increased responsibility for patient care. Many have suggested that these new medical residents may produce errors and worsen patient outcomes—the so-called “July Effect;” however, we have found no U.S. evidence documenting this effect.Determine whether fatal medication errors spike in July.We examined all U.S. death certificates, 1979–2006 (n = 62,338,584), focusing on medication errors (n = 244,388). We compared the observed number of deaths in July with the number expected, determined by least-squares regression techniques. We compared the July Effect inside versus outside medical institutions. We also compared the July Effect in counties with versus without teaching hospitals.JR = Observed number of July deaths / Expected number of July deaths.Inside medical institutions, in counties containing teaching hospitals, fatal medication errors spiked by 10% in July and in no other month [JR = 1.10 (1.06–1.14)]. In contrast, there was no July spike in counties without teaching hospitals. The greater the concentration of teaching hospitals in a region, the greater the July spike (r = .80; P = .005). These findings held only for medication errors, not for other causes of death.We found a significant July spike in fatal medication errors inside medical institutions. After assessing competing explanations, we concluded that the July mortality spike results at least partly from changes associated with the arrival of new medical residents.

Background: Orientation for new medical residents is challenging due to the diversity of prior experiences and cultural backgrounds and is compounded by a lack of orientation curricula that adequately addresses the needs of the medical residents to allow them to perform their duties in an efficient manner from the start. The beginning of residency training is associated with reduced quality of healthcare widely referred to as the ‘July effect’. Objective: To assess the impact of a peer-led orientation for new interns on (a) self-reported confidence level, (b) improvement in performance of first-year residents in appropriate clinical documentation and efficient discharge procedures and protocols. Design/methods: In June 2016, a hybrid of interactive teaching and simulation exercises was used to teach documentation of critical information, such as discharge medication reconciliation and discharge summary. A handout of an intern guide/manual was also provided. The previous year’s data served as comparison/control data. Comparison data were obtained for both groups from hospital’s utilisation review department. Results: Twenty-one of 23 expected new interns (91%) participated in the intervention. There was a significant decrease in non-compliance for clinical documentation in the intervention group compared to the control group. The self-reported confidence level in the intervention group increased 34%. Conclusions: Such peer-to-peer orientation has the potential to effectively improve appropriate documentation and discharge process by new residents and may help to reduce the ‘July effect’.

External ventricular drain (EVD) placement is a life-saving procedure performed frequently by neurosurgical residents. The July effect is a theoretic decline in quality of health care sometimes perceived in teaching hospitals at the start of an academic year. We sought to quantify the learning curve of ventriculostomy drain placement in teaching hospitals and determine its impact on patient outcomes, health care utilization, and cost. The National Inpatient Sample was queried for patients admitted nonelectively between 2012 and 2015 requiring EVD placement at a teaching hospital determined by using International Classification of Diseases, Ninth Revision codes. Rates of multiple EVD placements per admission, infection and hemorrhage, mortality, length and cost of hospital stay, and discharge disposition were compared between admissions in the first quarter (Q1) of an academic year (July–September) versus those in Q4 (April–June). A total of 7783 admissions met inclusion criteria (3901 in Q1 and 3882 in Q4). The odds ratios (OR) for all combined complications, mortality, and long-term care disposition were similar between Q1 and Q4 groups. There was a significant reduction in the OR of wound and infectious complications in Q1 versus Q4 (1.60% vs. 2.31%; OR, 0.66; P = 0.01). The impact of Q1 EVD placement on total hospital charge and number of EVD codes was not statistically significant. However, there was a statistically significant reduction in length of stay in Q1 compared with Q4 (β = −0.04 days; P < 0.0001). There was no evidence of a July effect on EVD complication rates in outcomes for patients admitted in the beginning of an academic year versus the end. [ABSTRACT FROM AUTHOR]

Background: Reports of higher rates of medical errors in the month of July have generated concern regarding major surgery at academic institutions early in the yearly promotion cycle. This study was designed to evaluate perioperative outcomes in patients undergoing pancreaticoduodenectomy (PD) at different times of the year.Materials and Methods: Outcomes were retrospectively evaluated for patients treated in July versus the rest of the year and in the first quarter (July-September) versus the remaining quarters. The primary outcome was operative morbidity as measured by Clavien-Dindo grade, a classification system of surgical complications. Secondary outcomes included mortality, operative blood loss, pancreatic fistula formation, delayed gastric emptying, intraabdominal abscess, anastomotic leak, reoperation, and other variables of interest.Results: From January 2003 to September 2015, 472 patients underwent PD by a single academic surgeon. Overall, 77.1% of PDs were performed for malignancy. The number of patients did not significantly vary by month or by quarter. The incidence of major morbidity (Clavien-Dindo grade ≥ III) in patients who had a PD was 12.2% in July and 17.5% in all other months (P = 0.79). The rate of pancreatic fistula, intraabdominal abscess, reoperation, readmission, and mortality did not differ significantly by month or by quarter (P > 0.05 for all).Conclusions: The current study does not find any correlation between time of year and operative morbidity or mortality, suggesting that PD can be safely performed irrespective of timing. [ABSTRACT FROM AUTHOR]

Background: Observing cyclic patterns in surgical outcome is a common experience. We aimed to measure this phenomenon and to hypothesize possible causes using the experience of a high-volume pancreatic surgery department. Methods: Outcomes of 2748 patients who underwent a Whipple procedure at a single high-volume center from January 2000 to December 2018 were retrospectively analyzed. Three different hypotheses were tested: the effect of climate changes, the "July effect" and the effect of vacations. Results: Clavien-Dindo ≥ 3 morbidity was similar during warm vs. cold months (22.5% vs. 19.8%, p = 0.104) and at the beginning of activity of new trainees vs. the rest of the year (23.5 vs. 22.5%, p = 0.757). Patients operated when a high percentage of staff is on vacation showed an increased Clavien-Dindo ≥ 3 morbidity (22.3 vs. 18.5%, p = 0.022), but similar mortality (2.3 vs. 1.8%, p = 0.553). The surgical waiting list was also significantly longer during these periods (37 vs. 27 days, p = 0.037). Being operated in such a period of the year was an independent predictor of severe morbidity (OR 1.271, CI 95% 1.086–1.638, p = 0.031). Conclusion: Being operated when more staff is on vacation significantly affects severe morbidity rate. Future healthcare system policies should prevent the relative shortage of resources during these periods. [ABSTRACT FROM AUTHOR]

Background: The hypothetical association between health-care errors and the transition of the medical academic year has been termed the "July effect." Data supporting its existence are conflicting, particularly in orthopedic surgery, and prior studies have inappropriately grouped fellows with resident trainees. No studies to date have examined whether a training initiation effect exists among surgical fellows in adult reconstructive orthopedics.Methods: This is a level IV retrospective cohort study reviewing 15,650 primary hip and knee arthroplasties performed from 2006 to 2016 at a single institution. Forty arthroplasty fellows were trained during this 10-year period. Primary outcome measures included intraoperative complications, additional procedures, revisions, and nonoperative complications within 90 days of surgery. These complication rates were analyzed by quarter of academic year and by temporal progression through three-month fellowship rotations.Results: There were no differences in intraoperative complication, revision, or nonoperative complication rates between any academic quarter. There was a single statistically lower rate of additional procedures in the third quarter (1.2%) than in the fourth quarter (1.8%, P = .04). The most common complication in this subset was wound dehiscence for patients undergoing hip arthroplasty and stiffness for patients undergoing knee arthroplasty. There was no difference in complication rates during the first, second, or third month as fellows progressed through a single rotation.Conclusion: This study does not support the existence of a training-initiation effect among fellows in adult hip and knee reconstruction. Graduated autonomy can be safely employed in a fellowship program without negatively impacting patient outcomes, ensuring the continued high-caliber training of future surgeons. [ABSTRACT FROM AUTHOR]

Objectives/hypothesis: To evaluate the "July effect," as a possible risk factor for perioperative complications in otolaryngology microvascular reconstruction during the transitional period in the academic calendar.Study Design: Retrospective database review.Methods: Microvascular reconstruction outcomes in the National Surgical Quality Improvement Program (2005-2016) database were compared between the first academic quarter (July-September) to the last academic quarter (April-June). The primary outcome was 30-day morbidity, and secondary outcomes included 30-day mortality, operative complications, or postoperative adverse events.Results: There were 612 and 580 patients who underwent microvascular reconstruction during the first and last academic quarters, respectively. There was no significant difference between the 30-day mortality between the first academic quarter (1.5%) and the last academic quarter (0.7%) (P = .194). There was no difference in 30-day morbidity (47.9% vs. 49.5%, P = .586), operative complications (wound disruption, P = .151; bleeding, P = .526; operative time, P = .162), or postoperative adverse events (deep vein thrombosis, P = .460; pneumonia, P = .737; reintubation, P = .201; pulmonary embolism, P = .452; ventilation for >48 hours, P = .769; acute renal failure, P = .500; urinary tract infection, P = .693; unplanned readmission, P = .202; and mean length of stay, P = .497).Conclusions: There appears to be no July effect in microvascular reconstruction. Further studies should identify the mechanisms that preserve the safety of this operation year-round for application to other areas of medicine who have observed the July effect.Level Of Evidence: NA Laryngoscope, 130:893-898, 2020. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to determine the existence of the freshman effect in patients who underwent gynecologic surgery at a teaching hospital by comparing surgical outcomes and morbidity rates between the first academic quarter and other quarters.Methods: All data were collected prospectively. Between January 2015 and March 2018, patients who underwent gynecologic surgeries during the first academic quarter (March, April, and May in Korea) were retrospectively compared with patients who underwent gynecologic surgeries during other academic quarters (June through February). The primary outcome measure was the incidence of operative complication. Secondary outcomes were the operative time, operative blood loss, and length of hospital stay.Results: Among 1241 patients who underwent gynecologic surgery during the study period of 39 months, 1136 patients were analyzed for this study and divided into groups according to the first academic quarter (n = 335) and other academic quarters (n = 801). The baseline characteristics were not different between the groups. No significant difference in operative complications was found between the first and other academic quarters (1.5% versus 3.0%; P = 0.143). Moreover, there was no significant difference in operative time, operative blood loss, and length of hospital stay between the groups.Conclusions: This study did not demonstrate the existence of a "freshman effect", i.e., an increase in morbidity, at a Korean teaching hospital providing gynecologic surgical care. Patients undergoing gynecologic surgery can be reassured of their safety during the first academic quarter. [ABSTRACT FROM AUTHOR]

Background: Our aim in this study was to assess the impact of the turnover of residents in July on patients undergoing pituitary surgery. Methods: This work was a retrospective cohort study of cases from the National Inpatient Sample (NIS). Patients who underwent pituitary surgery from 2005 to 2012 were selected in the NIS. Patients undergoing surgery in July and in non‐July months were compared to determine differences in demographics, comorbidities, and complications. Results: Of the 12,939 patients, 1098 (8.5%) underwent pituitary surgery in July. Patients receiving surgery in July had similar demographics and Agency for Healthcare Research and Quality comorbidity values compared with patients receiving surgery in other months. There were no significant differences in mortality, cerebral edema, cerebrospinal fluid leakage, iatrogenic pituitary complications, iatrogenic cerebrovascular accidents, urinary tract infections, pulmonary edema, pulmonary complications, or acute cardiac complications. There were no differences in the rate of postoperative fistulas, hematomas, perforations, or infections. The use of meningeal suturing, pedicled or free‐flap reconstruction, and skin reconstruction was more frequent in July. Finally, hospitalization costs in July were similar to costs in other months. Conclusion: The turnover of new residents in July showed no change in complication rates for patients undergoing pituitary surgery. Patient care in July is similar to care during other months, demonstrating that hospitals are adequately supervising surgical residents during this transition. [ABSTRACT FROM AUTHOR]

Background: Orientation for new medical residents is challenging due to the diversity of prior experiences and cultural backgrounds and is compounded by a lack of orientation curricula that adequately addresses the needs of the medical residents to allow them to perform their duties in an efficient manner from the start. The beginning of residency training is associated with reduced quality of healthcare widely referred to as the ‘July effect’. Objective: To assess the impact of a peer-led orientation for new interns on (a) self-reported confidence level, (b) improvement in performance of first-year residents in appropriate clinical documentation and efficient discharge procedures and protocols. Design/methods: In June 2016, a hybrid of interactive teaching and simulation exercises was used to teach documentation of critical information, such as discharge medication reconciliation and discharge summary. A handout of an intern guide/manual was also provided. The previous year’s data served as comparison/control data. Comparison data were obtained for both groups from hospital’s utilisation review department. Results: Twenty-one of 23 expected new interns (91%) participated in the intervention. There was a significant decrease in non-compliance for clinical documentation in the intervention group compared to the control group. The self-reported confidence level in the intervention group increased 34%. Conclusions: Such peer-to-peer orientation has the potential to effectively improve appropriate documentation and discharge process by new residents and may help to reduce the ‘July effect’. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background Inpatient hospital stays for patients with epilepsy represent a significant burden on patients and society. Identifying factors that contribute to such costs aides in developing effective strategies to address this burden. July admissions have been associated with higher rates of complications and worse outcomes, attributed to the presence of new physicians. This study aims to evaluate whether epilepsy patients admitted in July have higher preventable complication rates and mortality than during the rest of the year. Methods Data was derived from the Nationwide Inpatient Sample (NIS) for epilepsy admissions for the years 2000–2010. Multivariable analyses assessed the effect of July against non-July admission on “hospital acquired complications” (HAC), which are complications identified as owing to preventable causes and mortality. Additionally, the total adjusted charges and prolonged length of stay (pLOS) for July admissions were compared to the 50th percentile. Results A total of 12,997,181 admissions for epilepsy were identified with 993,619 (8%) occurring in July, 10,810,900 (83%) were non-July months, and 1,192,662 (9%) were missing data. Patients admitted in July showed an increased association for HAC events (RR = 1.02, [1.01,1.03], p < 0.01), but a decrease in mortality (RR = 0.96, [0.95,0.97], p < 0.01). There was no difference in rates of higher total adjusted charges for July admissions (RR = 1.00, [1.00,1.00], p < 0.01) and a decrease in rates of pLOS (RR = 0.99, [0.98,0.99], p < 0.01). Conclusion In the epilepsy population, although July admissions were associated with a slight increase in HAC events, there was a non-significant or decreased rate of mortality, LOS, and total charge. Our results suggest that although complications were increased in July, possibly due to new staff, supervision is sufficient to prevent significant burden on patients and hospitals. [ABSTRACT FROM AUTHOR]

Purpose: The belief that July, when resident physicians' training year begins, may be associated with increased risk of patient morbidity and mortality is known as the 'July effect.' This study aimed to compare complication rates after pediatric neurosurgical procedures in the first versus last academic quarters in two national datasets. Methods: Data were extracted from the National Surgical Quality Improvement Program-Pediatrics (NSQIP-P) database for year 2012 for 30-day complication events and the Kids' Inpatient Database (KID) for year 2012 for in-hospital complication events after pediatric neurosurgical procedures. Descriptive and analytic statistical methods were used to characterize the impact of seasonal variation between the first and last quarters on complications. Results: Three thousand six hundred twenty-four procedures in the NSQIP-P dataset and 14,855 hospitalizations in KID were included in the study cohort. No significant difference was observed between the first and fourth quarters for these complication events: wound disruption/dehiscence, wound infection, nerve injury, bleeding requiring transfusion, central line-associated BSI, deep venous thrombosis/pulmonary embolism, urinary tract infection, renal failure, re-intubation/pulmonary failure, cardiac arrest, stroke, coma, and death. There was no difference in the average length of stay or average length of surgical time. In the NSQIP-P, the first quarter was associated with a significantly increased incidence of pneumonia and unplanned re-operation; there was a trend towards increased incidence of unplanned re-admission and sepsis. In KID, there was no difference in the rate of pneumonia or sepsis. Conclusion: For the majority of morbidity and mortality events, no significant difference was found in occurrence rates between the first and last quarters. [ABSTRACT FROM AUTHOR]

Study Design: A retrospective study of data abstracted from the Diagnosis Procedure Combination (DPC) database, a national representative database in Japan.Objective: The aim of this study was to examine seasonal variations in the risk of reoperation for surgical site infection (SSI) following spinal fusion surgery.Summary Of Background Data: Although higher rates of infection in the summer than in other seasons were thought to be caused by increasing inexperience of new staff, high temperature, and high humidity, no studies have examined seasonal variations in the risk of SSI following spinal fusion surgery in the country where medical staff rotation timing is not in summer season. In Japan, medical staff rotation starts in April.Methods: We retrospectively extracted the data of patients who were admitted between July 2010 and March 2013 from the DPC database. Patients were included if they were aged 20 years or older and underwent elective spinal fusion surgery. The primary outcome was reoperation for SSI during hospitalization. We performed multivariate analysis to clarify the risk factors of primary outcome with adjustment for patient background characteristics.Results: We identified 47,252 eligible patients (23,659 male, 23,593 female). The mean age of the patients was 65.4 years (range, 20-101 yrs). Overall, reoperation for SSI occurred in 0.93% of the patients during hospitalization. The risk of reoperation for SSI was significantly higher in April (vs. February; odds ratio, 1.93; 95% confidence interval, 1.09-3.43, P = 0.03) as well as other known risk factors. In subgroup analysis with stratification for type of hospital, month of surgery was identified as an independent risk factor of reoperation for SSI among cases in an academic hospital, although there was no seasonal variation among those in a nonacademic hospital.Conclusion: This study showed that month of surgery is a risk factor of reoperation for SSI following elective spinal fusion surgery, nevertheless, in the country where medical staff rotation timing is not in summer season.Level Of Evidence: 3. [ABSTRACT FROM AUTHOR]

Objective To compare maternal birth complications early versus late in the academic year and to evaluate the impact of resident work hour limitation on the "July effect." Study Design We conducted a retrospective, population-based cohort study of 628,414 singleton births in Washington State from 1987 to 2012 measuring the adjusted risk of maternal peripartum complications early (July/August) versus late (April/May) in the academic year. To control for seasonal outcome variation unrelated to trainees' involvement in care as well as long-term trends in maternal complications unrelated to variation in trainees' effect on outcomes across the academic year, we employed difference-in-differences methods contrasting outcomes at teaching to nonteaching hospitals for deliveries before and after restriction of resident work hours in July 2003. Results Prior to resident work hour limitation in July 2003, women delivering early in the academic year at teaching hospitals suffered more complications (relative risk [RR] 1.05; 95% confidence interval [CI]: 1.00-1.09; p = 0.03). After July 2003, complication risk did not vary significantly across the academic year except at teaching-intensive hospitals, where July/August deliveries experienced fewer complications (RR: 0.95; 95% CI: 0.92-0.98; p = 0.001). Conclusion Women delivering at teaching hospitals early in the academic year suffered a modest but significant increase in complications before but not after resident work hour reform. [ABSTRACT FROM AUTHOR]

Importance: The July Effect refers to adverse outcomes that occur as a result of turnover of the physician workforce in teaching hospitals during the month of June.Objective: As a surrogate for physician turnover, we used a multivariable difference-in-difference approach to determine if there was a difference in outcomes between May and July in teaching versus non-teaching hospitals.Design: We used prospectively collected observational data from United States hospitals participating in the Get With The Guidelines®-Resuscitation registry. Participants were adults with index in-hospital cardiac arrest between 2005-2014. They were a priori divided by location of arrest (general medical/surgical ward, intensive care unit, emergency department). The primary outcome was survival to hospital discharge. Secondary outcomes included neurological outcome at discharge, return of spontaneous circulation, and several process measures.Results: We analyzed 16,328 patients in intensive care units, 11,275 in general medical/surgical wards and 3790 in emergency departments. Patient characteristics were similar between May and July in both teaching and non-teaching hospitals. The models for intensive care unit patients indicated the presence of a July Effect with the difference-in-difference ranging between 1.9-3.1%, which reached statistical significance (p<0.05) in all but one model (p=0.07). Visual inspection of monthly survival curves did not show a discernible trend, and no July Effect was observed for return of spontaneous circulation, neurological outcome or process measures except for airway confirmation in the intensive care unit. We found no July Effect for survival in emergency departments or general medical/surgical wards (p>0.20 for all models).Conclusions: There may be a July Effect in the intensive care unit but the results were mixed. Most survival models showed a statistically significant difference but this was not supported by the secondary analyses of return of spontaneous circulation and neurological outcome. We found no July Effect in the emergency department or the medical/surgical ward for patients with in-hospital cardiac arrest. [ABSTRACT FROM AUTHOR]

Background The ‘July effect’ is a phenomenon of inferior delivery of care at teaching hospitals during July because of relative inexperience of new physicians. Objective To study the difference in mortality among septic shock patients during July and another month. Methods Using the U.S. Nationwide Inpatient Sample, we estimated the difference in mortality among septic shock patients admitted during May and July from 2003 to 2011. Results 117,593 and 121,004 patients with septic shock were admitted to non-teaching and teaching hospitals, respectively, in May and July. High-risk patients had similar mortality rates in non-teaching hospitals and teaching hospitals. Mortality rates were higher in teaching versus non-teaching hospitals in high-risk patients both in May and July. Overall, mortality rates were higher in teaching versus non-teaching hospitals both in May and July. Conclusion Similar trends in mortality are observed in both settings in May and July and no “July effect” was observed. [ABSTRACT FROM AUTHOR]

Background: Esophagogastroduodenoscopy (EGD) is a common procedure used for both diagnosis and treatment, but carries risks such as bleeding and perforation. The "July effect"-described as increased complication rates during the transition of new trainees-has been studied in other procedures, but has not been thoroughly evaluated for EGD., Methods: We used the National Inpatient Sample database for 2016 to 2018 to compare outcomes in EGD performed between July to September and April to June., Results: Approximately 0.91 million patients in the study received EGD between July to September (49.35%) and April to June (50.65%), with no significant differences between the two groups in terms of age, gender, race, income, or insurance status. Of the 911,235 patients, 19,280 died during the study period following EGD, 2.14% (July-September) vs 1.95% (April-June), with an adjusted odds ratio of 1.09 ( P  < 0.01). The adjusted total hospitalization charge was $2052 higher in July-September ($81,597) vs April to June ($79,023) ( P  < 0.005). The mean length of stay was 6.8 days (July-September) vs 6.6 days (April-June) ( P  < 0.001)., Conclusions: The results of this study are reassuring as the July effect on inpatient outcomes for EGDs was not significantly different according to our study. We recommend seeking prompt treatment and improving new trainee training and interspecialty communication for better patient outcomes., Competing Interests: No funding or potential conflict of interest was reported by the authors., (Copyright © 2023 Baylor University Medical Center.)