Novel multi-spectral short-wave infrared imaging for assessment of human burn wound depth.

Burn depth determination is critical for patient care but is currently lacking accuracy. Recent animal studies showed that Short Wave Infrared (SWIR) imaging can distinguish between superficial and deep burns. This is a first human study correlating reflectance of multiple SWIR bands using a SWIR assessment tool (SWAT) with burn depth classifications by surgeons and histology. Burns and adjacent normal skin in 11 patients with thermal injuries were imaged with visual and narrow bands centred at 1200, 1650, 1940 and 2250 nm and biopsies were taken from select areas. Reflectance intensities for each band in 273 regions of interest (ROI) were divided by the normal skin reflectance and combined into three Reflectance Indices (RIs). In addition, burns in ROIs and biopsies were classified by five surgeons and three pathologists, respectively, as superficial partial, deep partial, or full thickness. Results show that for burn depth increase classified by the surgeons, reflectance increased at 1200 and 2250, decreased at 1940, and didn't change at 1650 nm. In contrast, all three RIs increase with burn depth and predict the deep and full depths ROIs representing operable regions (Area Under Curve >0.6507, p < 0.0001). Pathologists' classification matched surgeons' classification of burn category only in eight of 21 biopsies (38.1%), but reflectance at all bands and one RI for all deep partial and full thickness biopsies were larger than in non-biopsy normal and superficial partial thickness ROIs (p < 0.0118). In conclusion, multi-spectral imaging with a new SWAT is a promising approach for evaluation of burn wound depth.

Decision Aid on Orthopedic Virtual Care: Patient Preferences in Orthopedic Hand Clinic.

Introduction: The objectives of this study are to develop a decision aid for orthopedic patients to decide between virtual or in-person care and assess patient preferences for these modalities in hand clinic. Methods: An orthopedic virtual care decision aid was developed alongside orthopedic surgeons and a virtual care expert. Subject participation involved 5 steps: Orientation, Memory, and Concentration Test (OMCT), knowledge pretest, decision aid, postdecision aid questionnaire, and Decisional Conflict Scale (DCS) assessment. Patients presenting to hand clinic were initially provided the OMCT to assess decision-making capacity, with those failing excluded. Subjects were then administered a pretest to assess their understanding of virtual and in-person care. Subsequently, the validated decision aid was provided to patients, after which a postdecision aid questionnaire and DCS assessment were administered. Results: This study enrolled 124 patients. Pre- to postdecision aid knowledge test scores increased by 15.3% (p < 0.0001), and the average patient DCS score was 18.6. After reading the decision aid, 47.6% of patients believed that virtual and in-person care provided similar physician interaction, 46.0% felt little difference in effectiveness between the modalities, and 39.5% had no preference for either. Most patients understood their options (79.8%) and were ready to make a care modality decision (65.4%) following decision aid administration. Conclusion: Significant improvements in knowledge scores, strong DCS scores, and high levels of understanding and decision-making readiness support decision aid validity. Hand patients appear to have no consensus preferences for care modality, emphasizing the need for a decision aid to help determine individual care preferences.

Patient-Reported Outcomes Can Serve as a Functional Substitute for Grip Strength.

Background Grip strength has traditionally been seen as an objective measurement of hand function, while the Patient-Reported Outcomes Measurement Information System Upper Extremity (PROMIS UE) has emerged recently as a common patient-reported outcome metric for similar purposes. The primary objective of this study was to determine if a correlation exists between grip strength, PROMIS UE, and Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH) scores in hand and upper extremity clinic patients. Methods PROMIS UE, Pain Interference (PI), and Depression (D), as well as QuickDASH were prospectively administered to patients from July 16 to September 3, 2020. A grip strength ratio (GSR), calculated by dividing the grip strength of the injured hand by that of the noninjured hand, was recorded for each individual to control for personal differences in grip strength. Data were analyzed using Spearman's correlation coefficients with the significance level at p < 0.05. Results Fifty patients participated in this study. The median GSR was 0.55. QuickDASH demonstrated strong correlations with both PROMIS UE and PI ( r (48) = -0.81, p < 0.05; r (48) = 0.86, p < 0.05). GSR correlated moderately with PROMIS UE ( r (48) = 0.63, p < 0.05). Finally, GSR and QuickDASH also exhibited moderate correlation with each other ( r (48) = -0.62, p < 0.05). Conclusion PROMIS UE and QuickDASH are shown to correlate moderately with GSR. This suggests the PROMIS UE forms as an effective measure of hand/wrist function in hand clinic patients and may be substituted for grip strength measurements.

Racial, Ethnic, and Sex Diversity in Academic Medical Leadership.

Importance: For the past 50 years, significant gaps have existed in gender and racial diversity across various medical specialties, despite the many benefits of a diverse physician workforce. One proposed approach to increasing diversity is top-down diversification, in which diverse leadership results in increased minority and female workforce representation. Objective: To investigate the changes in academic medical leadership diversity from 2007 to 2019 and to assess the recent leadership diversity of various specialties compared with the averages across all specialties. Design, Setting, and Participants: This was a cross-sectional analysis of physicians in varying academic roles in 2007, 2019, and 2020. Demographic data were collected via specialized reports from the Association of American Medical Colleges. Included were 4 primary care specialties (internal medicine, family medicine, pediatrics, obstetrics/gynecology [OB/GYN] and 4 surgical specialties (orthopedic surgery, neurologic surgery, otolaryngology [ENT], general surgery). Study participants were faculty, program directors, and chairpersons. Data were analyzed for the years 2007, 2019, and 2020. Intervention: Self-reporting of demographic information to residency programs collected via the Graduate Medical Education Track Survey. Main Outcomes and Measures: Proportions of each race/ethnicity and sex among cohorts of participants and comparisons between them. Results: The total number of individuals investigated included 186 210 faculty from 2019 (79 441 female [42.7%]), 6417 program directors from 2020 (2392 female [37.3%]), 1016 chairpersons from 2007 (89 female [8.8%]), and 2424 chairpersons from 2019 (435 female [17.9%]). When comparing chairperson diversity from 2007 to 2019, only internal medicine and general surgery experienced significant increases in minority (aggregate category used throughout the investigation to refer to anyone who self-identified as anything other than non-Hispanic White) representation (90% increase [11.7 percentage points, from 13.0% in 2007 to 24.7% in 2019]; P = .01 and 96% increase [13.0 percentage points, from 13.5% in 2007 to 26.5% in 2019]; P < .001), respectively; meanwhile, several specialties saw significant increases in female representation during this period (family medicine by 107.4%, P =.002; pediatrics by 83.1%, P =.006; OB/GYN by 53.2%, P =.045; orthopedic surgery by +4.1 percentage points, P =.04; general surgery by 226.9%, P =.005). In general, surgical specialties had lower leadership diversity than the average diversity of all residency programs, whereas primary care specialties had similar or increased diversity. Conclusions and Relevance: Study results suggest that some specialties have made significant contributions toward bridging diversity gaps whereas others continue to lag behind. Our recommendations to improve academic medical leadership diversity include programs and institutions (1) publishing efforts and outcomes of diversity representation, (2) incorporating a representative demographic for leadership selection committees, and (3) actively promoting the importance of diversity throughout the selection process.

Racial, Ethnic, and Gender Diversity in Academic Orthopaedic Surgery Leadership.

BACKGROUND: Multiple investigations in the past 50 years have documented a lack of racial/ethnic and gender diversity in the orthopaedic surgery workforce when compared with other specialties. Studies in other industries suggest that diversification of leadership can help diversify the underlying workforce. This study investigates changes in racial/ethnic and gender diversity of orthopaedic surgery leadership from 2007 to 2019 and compares leadership diversity to that of other surgical and nonsurgical specialties, specifically in terms of chairpersons and program directors. METHODS: Demographic data were collected from The Journal of the American Medical Association and the Association of American Medical Colleges. Aggregate data were utilized to determine the racial, ethnic, and gender composition of academic leadership for 8 surgical and nonsurgical specialties in 2007 and 2019. Comparative analysis was conducted to identify changes in diversity among chairpersons between the 2 years. Furthermore, current levels of diversity in orthopaedic leadership were compared with those of other specialties. RESULTS: A comparative analysis of diversity among program directors revealed that orthopaedic surgery had significantly lower minority representation (20.5%) when compared with the nonsurgical specialties (adjusted p < 0.01 for all) and, with the exception of neurological surgery, had the lowest proportion of female program directors overall, at 9.0% (adjusted p < 0.001 for all). From 2007 to 2019, orthopaedic surgery experienced no change in minority representation among chairpersons (adjusted p = 0.73) but a significant increase in female representation among chairpersons, from 0.0% (0 of 102) to 4.1% (5 of 122) (adjusted p = 0.04). Lastly, a significant decrease in minority and female representation was observed when comparing the diversity of 2019 orthopaedic faculty to orthopaedic leadership in 2019/2020 (p < 0.05 for all). CONCLUSIONS: Diversity in orthopaedic surgery leadership has improved on some key fronts, specifically in gender diversity among chairpersons. However, a significant decrease in minority and gender representation was observed between 2019 orthopaedic faculty and 2019/2020 orthopaedic leadership (p < 0.05), which was a trend shared by other specialties. These findings may suggest a more pervasive problem in diversity of medical leadership that is not only limited to orthopaedic surgery.

Establishing Age-calibrated Normative PROMIS Scores for Hand and Upper Extremity Clinic.

The purpose of our study is to investigate differences in normative PROMIS upper extremity function (PROMIS-UE), physical function (PROMIS-PF), and pain interference (PROMIS-PI) scores across age cohorts in individuals without upper extremity disability. METHODS: Individuals without upper extremity disability were prospectively enrolled. Subjects were administered PROMIS-UE, PROMIS-PF, and PROMIS-PI forms. Retrospective PROMIS data for eligible subjects were also utilized. The enrolled cohort was divided into age groups: 20-39, 40-59, and 60-79 years old. ANOVA, ceiling and floor effect analysis, and kurtosis and skewness statistics were performed to assess PROMIS scores trends with age. RESULTS: This study included 346 individuals. In the 20-39 age group, mean PROMIS scores were 56.2 ± 6.1, 59.8 ± 6.9, and 43.1 ± 6.7 for PROMIS-UE, PROMIS-PF, and PROMIS-PI, respectively. In the "40-59" age group, mean PROMIS computer adaptive test scores were 53.3 ± 7.5, 55.3 ± 7.6, and 46.6 ± 7.8 for PROMIS-UE, PROMIS-PF, and PROMIS-PI, respectively. In the 60-79 age group, mean PROMIS scores were 48.4 ± 7.6, 48.5 ± 5.6, and 48.7 ± 6.9 for PROMIS-UE, PROMIS-PF, and PROMIS-PI, respectively. Differences in mean PROMIS scores were significant across all PROMIS domains and age cohorts (P < 0.001). CONCLUSION: Younger individuals without hand or upper extremity disability show higher normative PROMIS-UE and PROMIS-PF scores and lower PROMIS-PI scores, indicating greater function and less pain than older counterparts. A universal reference PROMIS score of 50 appears suboptimal for clinical assessment and decision-making in the hand and upper extremity clinic.