Disparities in Research during Plastic Surgery Training: How Can We Level the Playing Field?

Background: Lack of female and ethnically underrepresented in medicine (UIM) surgeons remains concerning in academic plastic surgery. One barrier to inclusion may be unequal opportunity to publish research. This study evaluates the extent of this challenge for plastic surgery trainees and identifies potential solutions. Methods: Data were collected on academic plastic surgeons' research productivity during training. Bivariate analysis compared publication measures between genders and race/ethnicities at different training stages (pre-residency/residency/clinical fellowship). Multivariate analysis determined training experiences independently associated with increased research productivity. Results: Overall, women had fewer total publications than men during training (8.89 versus 12.46, P = 0.0394). Total publications were similar between genders before and during residency (P > 0.05 for both) but lower for women during fellowship (1.32 versus 2.48, P = 0.0042). Women had a similar number of first-author publications during training (3.97 versus 5.24, P = 0.1030) but fewer middle-author publications (4.70 versus 6.81, P = 0.0405). UIM and non-UIM individuals had similar productivity at all training stages and authorship positions (P > 0.05 for all). Research fellowship completion was associated with increased total, first-, and middle-author training publications (P < 0.001 for all). Conclusions: Less research productivity for female plastic surgery trainees may reflect a disparity in opportunity to publish. Fewer middle-author publications could indicate challenges with network-building in a predominately male field. Despite comparable research productivity during training relative to non- UIM individuals, UIM individuals remain underrepresented in academic plastic surgery. Creating research fellowships for targeting underrepresented groups could help overcome these challenges.

Closing the Gap: Training Experiences and Career Outcomes for Underrepresented Minorities in Plastic Surgery.

Background: The present study assesses training characteristics, scholastic achievements, and traditional career accomplishments of ethnically underrepresented in medicine (UIM) plastic and reconstructive surgery (PRS) faculty relative to non-UIM PRS faculty. Method: A cross-sectional analysis of core PRS faculty appointed to accredited United States residency training programs (n = 99) was performed. Results: Of the 949 US PRS faculty, a total of 51 (5.4%) were identified as UIM. Compared with non-UIM faculty, there were few differences when evaluating medical education, residency training, pursuit of advanced degrees, and attainment of subspecialty fellowship training. UIM faculty were more likely than non-UIM faculty to have graduated from a medical school outside the United States (25% versus 13%, P = 0.014). In addition, UIM faculty did not differ from non-UIM counterparts in traditional career accomplishments, including promotion to full professor, obtaining NIH funding, serving as program director, receiving an endowed professorship, appointment to a peer-reviewed editorial board, scholarly contributions (H-index and number of publications), and appointment to chief/chair of their division/department. Conclusions: The historical lack of ethnic diversity that comprise US academic PRS faculty persists. This study reveals that those UIM faculty who are able to obtain faculty appointments are equally successful in achieving scholastic success and traditional career accomplishments as their non-UIM counterparts. As we strive toward increasing representation of UIM physicians in academic plastic surgery, the field will benefit from efforts that promote a pipeline for underrepresented groups who traditionally face barriers to entry.

Identifying US Plastic Surgery Training Programs that Effectively Establish Gender and Ethnically Diverse Faculty.

Background: Successful strategies to improve the representation of female and ethnically underrepresented in medicine (UIM) physicians among US plastic and reconstructive surgery (PRS) faculty have not been adequately explored. Accordingly, we aimed to identify programs that have had success, and in parallel gather PRS program directors' and chiefs/chairs' perspectives on diversity recruitment intentionality and strategies. Methods: We conducted a cross-sectional analysis of the demographic composition of female and UIM faculty of PRS residency training programs. Separate lists of programs in the top quartile for female and UIM faculty representation were collated. Additionally, a 14-question survey was administered to program directors and chiefs/chairs of all 99 Accreditation Council for Graduate Medical Education-accredited PRS residency programs. The questions comprised three domains: (1) demographic information; (2) perceptions about diversity; and (3) recruitment strategies utilized to diversify faculty. Results: Female and UIM faculty representation ranged from 0% to 63% and 0% to 50%, respectively. Survey responses were received from program directors and chiefs/chairs of 55 institutions (55% response rate). Twenty-five (43%) respondents felt their program was diverse. Fifty-one (80%) respondents felt diversity was important to the composition of PRS faculty. Active recruitment of diverse faculty and the implementation of a diversity, equity, and inclusion committee were among the most frequently cited strategies to establish a culturally sensitive and inclusive environment. Conclusions: These findings reveal that female and UIM representation among US PRS faculty remains insufficient; however, some programs have had success through deliberate and intentional implementation of diversity, equity, and inclusion strategies.

A Systematic Review of Health State Utility Values in the Plastic Surgery Literature.

Cost-utility analyses assess health gains acquired by interventions by incorporating weighted health state utility values (HSUVs). HSUVs are important in plastic and reconstructive surgery (PRS) because they include qualitative metrics when comparing operative techniques or interventions. We systematically reviewed the literature to identify the extent and quality of existing original utilities research within PRS. METHODS: A systematic review of articles with original PRS utility data was conducted in accordance with the Preferred Reporting Items for a Systematic Review and Meta-Analysis guidelines. Subspecialty, survey sample size, and respondent characteristics were extracted. For each HSUV, the utility measure [direct (standard gamble, time trade off, visual analog scale) and/or indirect], mean utility score, and measure of variance were recorded. Similar HSUVs were pooled into weighted averages based on sample size if they were derived from the same utility measure. RESULTS: In total, 348 HSUVs for 194 disease states were derived from 56 studies within seven PRS subspecialties. Utility studies were most common in breast (n = 17, 30.4%) and hand/upper extremity (n = 15, 26.8%), and direct measurements were most frequent [visual analog scale (55.4%), standard gamble (46.4%), time trade off (57.1%)]. Studies surveying the general public had more respondents (n = 165, IQR 103-299) than those that surveyed patients (n = 61, IQR 48-79) or healthcare professionals (n = 42, IQR 10-109). HSUVs for 18 health states were aggregated. CONCLUSIONS: The HSUV literature within PRS is scant and heterogeneous. Researchers should become familiar with these outcomes, as integrating utility and cost data will help illustrate that the impact of certain interventions are cost-effective when we consider patient quality of life.

Use of Absorbable Dermal Stapler in Reduction Mammoplasty: Assessing Technical, Quality-of-Life, and Aesthetics Outcomes.

INTRODUCTION: Reduction mammaplasty is a mainstay in the treatment of symptomatic macromastia, with a well-described positive impact on patient quality-of-life (QoL). Absorbable dermal staplers have the potential to improve the efficiency of skin closure in reduction mammoplasties, but a more comprehensive assessment of its impact on key outcomes has not been fully elucidated. METHODS: A retrospective review of patients undergoing reduction mammoplasty between November 2018 and December 2020 was conducted. Patients were included if they had undergone a wise-pattern reduction with a superomedial pedicle and completed 3 months of follow-up. Patient demographics, operative information, clinical and aesthetic outcomes, and QoL were compared between patients that had INSORB stapler-assisted and suture-only closures. RESULTS: Seventy-five patients met the inclusion criteria, with 34 patients (45%) in the stapler cohort. Total procedure time was significantly reduced with the use of the dermal stapler (stapler: 154 vs. suture: 170 minutes; p = 0.003). The incidence of major complications was similar between cohorts (stapler: 8.8% vs. suture: 12%; p = 0.64), as was the incidence of minor complications (stapler: 44% vs. suture: 41%; p = 0.82). Regardless of closure technique, patients demonstrated significant increases in all QoL domains (p <0.001). Lastly, 10 independent raters found no difference in the cosmetic appearance of breasts from either cohort, when judging overall breast appearance, shape, scars, volume and the nipple-areolar complex (all p > 0.05). CONCLUSIONS: The dermal stapler improves efficiency of closure during reduction mammoplasty without increasing the incidence of wound healing complications. Additionally, cosmetic outcomes are not affected, and patients demonstrate similar post-operative satisfaction with the result regardless of closure technique.

Natural Language Processing in Surgery: A Systematic Review and Meta-analysis.

OBJECTIVE: The aim of this study was to systematically assess the application and potential benefits of natural language processing (NLP) in surgical outcomes research. SUMMARY BACKGROUND DATA: Widespread implementation of electronic health records (EHRs) has generated a massive patient data source. Traditional methods of data capture, such as billing codes and/or manual review of free-text narratives in EHRs, are highly labor-intensive, costly, subjective, and potentially prone to bias. METHODS: A literature search of PubMed, MEDLINE, Web of Science, and Embase identified all articles published starting in 2000 that used NLP models to assess perioperative surgical outcomes. Evaluation metrics of NLP systems were assessed by means of pooled analysis and meta-analysis. Qualitative synthesis was carried out to assess the results and risk of bias on outcomes. RESULTS: The present study included 29 articles, with over half (n = 15) published after 2018. The most common outcome identified using NLP was postoperative complications (n = 14). Compared to traditional non-NLP models, NLP models identified postoperative complications with higher sensitivity [0.92 (0.87-0.95) vs 0.58 (0.33-0.79), P < 0.001]. The specificities were comparable at 0.99 (0.96-1.00) and 0.98 (0.95-0.99), respectively. Using summary of likelihood ratio matrices, traditional non-NLP models have clinical utility for confirming documentation of outcomes/diagnoses, whereas NLP models may be reliably utilized for both confirming and ruling out documentation of outcomes/diagnoses. CONCLUSIONS: NLP usage to extract a range of surgical outcomes, particularly postoperative complications, is accelerating across disciplines and areas of clinical outcomes research. NLP and traditional non-NLP approaches demonstrate similar performance measures, but NLP is superior in ruling out documentation of surgical outcomes.