Evaluating the July Phenomenon in Plastic Surgery: A National Surgical Quality Improvement Program Analysis

The July Effect in Podiatric Medicine and Surgery Residency

The period when medical students begin residency in teaching hospitals throughout the United States heralds a period known in the medical community as the "July Effect." Though several sentinel studies associated this timeframe with an increase in medical errors, residencies since demystified this phenomenon within their respective specialty. This study aims to evaluate the presence of the July Effect in a podiatric medicine and surgery residency program. A retrospective chart review was conducted, comparing patient demographics and surgical outcomes including length of stay, operative time and readmission rate between the first (July, August, September) and fourth (April, May June) quarters of the academic year from 2014-2019. A total of 206 patients met the inclusion criteria, where 99 received care in the first, resident-naïve, quarter and 107 received care in the fourth, resident-experienced, quarter. No difference in patient demographics including sex, body mass index, or comorbidity index was appreciated between both quarters (p<0.05). Those patients who underwent soft tissue and bone debridements, digital, forefoot, midfoot and rearfoot amputations experienced no statistically significant difference in length of stay, operative time, or readmission rate between both quarters (p<0.05). The results of this study did not support the presence of the July Effect in our foot and ankle surgery residency. Future studies can further explore this phenomenon by examining patients admitted following traumatic injury or elective procedures. Moreover, this study shows the curriculum employed at our program provides sufficient support, guidance, and resources to limit errors attributed to the July Effect.

Revisiting the "July Effect" in Plastic Surgery: New Data to Support Resident Autonomy

BACKGROUND

The "July Effect" represents a topic of considerable interest across residency programs. This study investigated the frequency of postoperative complications following procedures with plastic surgery resident participation (all postgraduate year [PGY] levels) during the first (quarter 3, July-September) and last academic quarters.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program database was used to calculate complication rates from 2006 to 2010. Resident involvement was analyzed as a categorical variable consisting of "juniors" (PGY1-PGY3), and "seniors" (PGY4-PGY6). Outcomes from procedures during Q3 were compared with all quarters. Propensity score matching and adjustment enabled logistic regression identifying the effect of resident involvement and admission.

RESULTS

Among all cosmetic and reconstructive procedures (n = 6625), mean operative time was not significantly greater in Q3 compared with all other quarters (P = 0.069); no significant differences in complication rates were observed between Q3 and all other quarters, though superficial surgical site infection (SSI) approached significance (3.3% of procedures in Q3 vs 2.5% in all other quarters, P = 0.063). Among reconstructive procedures only (n = 5677), mean operative time was not significantly greater in Q3 compared with all other quarters (P = 0.119); the same held true for cosmetic procedures only (P = 0.275). Surgical site infection, however, was significantly more likely to occur with reconstructive procedures only, in Q3 compared with all other quarters (3.5% of cases vs 2.3%, P = 0.024). When adjusting for PGY status and matching populations, superficial SSI and return to the operating room were not significantly more common in Q3. When adjusting for quarter of admission, however, superficial SSI was significantly more common among the overall and noncosmetic cases with participation by junior residents (P = 0.013 and 0.020, respectively).

CONCLUSIONS

This may represent the first fully reproducible, transparent National Surgical Quality Improvement Program study in plastic surgery that demonstrates the absence of a clinically significant "July Effect," and suggests that an appropriate degree of resident autonomy may pose minimal risk during both cosmetic and reconstructive procedures in residency training. Additionally, the findings encourage the development a plastic surgery-specific database to remedy inherent difficulties with larger, more comprehensive surgical databases.

Evaluating the July Effect in Oral and Maxillofacial Surgery: Part II-Orthognathic Surgery

PURPOSE

The purpose of this study was to determine if there is an increased postoperative complication rate in orthognathic surgery during the first academic quarter (Q1) (July to September).

MATERIALS AND METHODS

The American College of Surgeons National Surgical Quality Improvement Program database was accessed to identify cases with Current Procedural Terminology codes pertaining to orthognathic procedures from 2008 to 2017. Procedures were separated into 2 groups based on time in the academic year: Q1 (July to September) versus remaining quarters (RQ). The inclusion criteria were Current Procedural Terminology codes representing operations resulting in movement of the dentate portion of the jaws and age of 18 years or older. Patient demographic characteristics and perioperative complications were compared between the groups. Descriptive statistics, Fisher exact tests, and χ² tests were executed.

RESULTS

The Q1 cohort included 877 cases, and the RQ cohort included 2,062 cases. The average age of patients was 47.0 ± 19.5 years in Q1 versus 47.2 ± 19.4 years in RQ. The most frequent complications were blood transfusion (11.97% in Q1 vs 12.57% in RQ, P = .64), reoperation (8.67% in Q1 vs 8.84% in RQ, P = .87), and combined superficial and deep-space infection (5.02% in Q1 vs 5.76% in RQ, P = .51). Medical complications involving other organ systems were rare (<1%). Analyses showed no significance between complication rate and time of year.

CONCLUSIONS

The results of this study indicate that there is no association between time of year and complication rates after orthognathic surgery. Additional investigations could be useful in shining light on this topic as it pertains to the training of future surgeons.

Evaluating the July Effect in Oral and Maxillofacial Surgery: Part I-Mandibular Fractures

PURPOSE

The purpose of this study was to determine whether the timing of mandibular fracture repair within the academic year affects the complication rate using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database.

MATERIALS AND METHODS

The ACS-NSQIP database was accessed and queried from 2008 to 2017 for all Current Procedural Terminology codes pertaining to open treatment of mandibular fractures. The cases were stratified into 2 groups based on academic quarter: the quarter 1 (Q1) group (July-September) and the remaining-quarters group. The inclusion criteria encompassed all Current Procedural Terminology codes in the ACS-NSQIP registry that defined mandibular fractures and age greater than 18 years. Demographic characteristics, as well as medical and surgical complications, were compared between the 2 cohorts. Descriptive statistics were calculated to characterize and compare patient cohorts, and Fisher exact test and χ² analyses were performed to compare complication rates between groups.

RESULTS

The Q1 group included 614 cases, and the remaining-quarters group included 1,454. The most common individual complications included wound dehiscence (1.6% overall; 2.1% in Q1 group vs 1.4% in remaining-quarters group, P = .22), combined superficial and deep-space infection (4.9% overall; 4.4% in Q1 group vs 3.3% in remaining-quarters group; P = .91 and P = .21, respectively), and reoperation (3.9% overall; 4.6% in Q1 group vs 3.6% in remaining-quarters group, P = .29). Medical complications including acute kidney injury, venous thromboembolism, urinary tract infection, and sepsis or septic shock were rare (<1%). Complication rates did not significantly differ between the third quarter and the remainder of the year on bivariate analysis.

CONCLUSIONS

Our results do not support the idea of a "July effect" regarding postoperative outcomes after mandibular fracture repair. Further studies are needed to elucidate this phenomenon within all procedures under the wide umbrella of the specialty.

Evaluation and Improvement of Bottlenecking in a Multidisciplinary Oncology Clinic: An Electronic Medical Record Intervention

Purpose: Clinic members reported slower patient flow in the mornings at a multidisciplinary oncology clinic. This study identified the causes of clinic bottlenecking via analysis of patient schedules and transit times, then corrected discrepancies through a quality improvement program.

Methods: Transit times were measured using tracking cards handed out at check-in, marked by each clinic member throughout the encounter, and collected upon discharge. Data were analyzed for differences between morning and afternoon patients, and a Pareto chart was formulated to assess for discrepancies in distribution. Repeat plan-do-study-act (PDSA) cycles were conducted, implementing two changes to redistribute appointments to optimize clinic workflow.

Results: A total of 2951 patient appointments were analyzed: 589 at baseline, 277 following an initial intervention, and 2085 following a subsequent intervention. Analysis of patient transit times revealed no significant differences between morning and afternoon patient groups (t-test, p=.13-.99), with no transit interval markedly longer than others (t-test, p=.32-.83). However, upon evaluation of appointment times, a maldistribution was noted with 57% of patients concentrated between 9:00 am to 12:00 pm, accounting for the perception of bottlenecking. An initial intervention offering patients afternoon appointments on a voluntary basis was insufficient for rebalancing distribution (chi-square test, p=.299); however, an electronic medical record (EMR) intervention with rigid appointment templates was successful (chi-square test, p<.001).

Conclusion: An imbalance of appointment times contributed to the perception of slow clinic throughput. This study emphasizes the importance of systematically investigating even consensus observations for validity prior to costly interventions. Furthermore, these results support the utility of information technology in optimizing clinic workflow.