Amputation or Reconstruction? Development and Validation of a Patient Decision Aid for Treatment of Severe Lower-Extremity Trauma.

BACKGROUND: Our goal was to develop and validate the Severe Lower-Extremity Trauma decision aid (SLETRA) to help patients make treatment decisions aligned with their values regarding amputation versus reconstruction. METHODS: We recruited 62 adults (41 women) from a foot and ankle practice at a US academic hospital from June to August 2020. We excluded patients who could not read in English and who lacked internet service access. Patients completed an 8-question knowledge test regarding the risks, benefits, and outcomes of treatment options before and after reviewing SLETRA. The survey presented a hypothetical case of severe lower-extremity trauma. Respondents, imagining themselves as patients, indicated whether they would choose amputation or reconstruction. We evaluated knowledge scores (maximum, 8 points); decisional conflict scores (maximum, 400 points, with higher scores indicating greater respondent difficulty in decision making); ratings of factors influencing the decision; and SLETRA helpfulness (maximum, 7 points). Pre- and post-test knowledge scores were compared using paired Student's t-tests; Alpha = 0.05. RESULTS: Mean and standard deviation knowledge scores improved from 5.2 ± 1.6 (pre-test) to 6.7 ± 1.6 (post-test) (p < 0.001). Mean decisional conflict score was 223 ± 16, reflecting moderate difficulty. Factors affecting treatment choice were risk of complications (n = 29), recovery time (n = 27), and future prosthesis use (n = 27). No respondent had difficulty understanding SLETRA. Mean helpfulness score was 5.6 ± 0.16, reflecting considerable benefit. CONCLUSION: The SLETRA decision aid is a helpful, understandable tool that significantly improves patient knowledge regarding treatment options for severe lower-extremity trauma.

Patient Perspectives on the Use of Aging Metrics for Kidney Transplant Decision-Making.

INTRODUCTION: Frailty and cognitive function are often measured during kidney transplant evaluation. However, patient perspectives on the ethical considerations of this practice are unclear. RESEARCH QUESTION: What are patient perspectives on the use of aging metrics in kidney transplant decision-making? DESIGN: One hundred participants who were evaluated for kidney transplantation and were enrolled in an ongoing prospective cohort study (response rate = 61.3%) were surveyed. Participants were informed of the definitions of frailty and cognitive impairment and then asked survey questions regarding the use of these measures of aging to determine kidney transplant candidacy. RESULTS: Participants (75.6%) thought it was unfair to prevent older adults from receiving a kidney transplant based on age, but there was less agreement on whether it was fair to deny frail (46.5%) and cognitively impaired (45.9%) patients from accessing kidney transplantation. Compared to older participants, younger participants had 5.36-times (95%CI:1.94-14.81) the odds of choosing a hypothetical younger, frail patient to list for kidney transplantation than an older, non-frail patient; they also had 3.56-times (95%CI:1.33-9.56) the odds of choosing the hypothetical frail patient with social support rather than a non-frail patient without social support. Participants disagreed on the use of patient age as a listing criterion; 19.5% ranked it as the fairest and 28.7% as the least fair. CONCLUSION: The patient views highlighted in this study are an important step toward developing ethical guidelines to ensure fair use of frailty, cognitive function, and chronological age for kidney transplant decision-making.

Are large language models a useful resource to address common patient concerns on hallux valgus? A readability analysis.

BACKGROUND: This study evaluates the accuracy and readability of Google, ChatGPT-3.5, and 4.0 (two versions of an artificial intelligence model) responses to common questions regarding bunion surgery. METHODS: A Google search of "bunionectomy" was performed, and the first ten questions under "People Also Ask" were recorded. ChatGPT-3.5 and 4.0 were asked these ten questions individually, and their answers were analyzed using the Flesch-Kincaid Reading Ease and Gunning-Fog Level algorithms. RESULTS: When compared to Google, ChatGPT-3.5 and 4.0 had a larger word count with 315 ± 39 words (p < .0001) and 294 ± 39 words (p < .0001), respectively. A significant difference was found between ChatGPT-3.5 and 4.0 compared to Google using Flesch-Kincaid Reading Ease (p < .0001). CONCLUSIONS: Our findings demonstrate that ChatGPT provided significantly lengthier responses than Google and there was a significant difference in reading ease. Both platforms exceeded the seventh to eighth-grade reading level of the U.S. LEVEL OF EVIDENCE: N/A.

Academic Degree Bias Among Speaking and Leadership Roles at the American Academy of Orthopaedic Surgeons Annual Meetings, 2016-2021.

OBJECTIVE: This study examined the proportion of Doctors of Osteopathic Medicine (DOs) across various speaking and leadership roles at recent American Academy of Orthopaedic Surgeons (AAOS) annual meetings.  Design: Meeting programs from the AAOS were publicly accessed and compiled between 2016 and 2021. Two categories of AAOS meeting participants were created. Invited speaker and faculty roles included moderators of symposia and program committee members while authors of presented papers were classified into academic roles. The proportion of DOs in each role type (invited speaker, academic) was recorded for each meeting program. The representation of DOs in these roles was then examined longitudinally across our analysis period using Pearson's Correlation.  Results: Overall, 1.1% (119/10,636) of all roles were held by DOs. Across our analysis period, DOs were disproportionately underrepresented as invited faculty or speakers (0.1%, 4/2791) compared with academic roles (0.1% vs 1.5%, p<0.001). Specifically, DOs were underrepresented as program committee members (0.08% vs 1.5%, p<0.001), symposia lecturers (0.1% vs 1.5%, p=0.004), and moderators of paper presentations (0.3% vs 1.5%, p=0.01).  Conclusion: Between 2016-2021, DOs were disproportionately represented as invited speakers or faculty at AAOS annual meetings. Our definition of diverse perspectives may need to expand to include osteopathic physicians.

Issues in Ethics in Orthopaedic Surgery Following the COVID-19 Pandemic.

The COVID-19 pandemic has caused changes in health care as well as human suffering, and consideration of the principles of ethics can build a foundation to consider dilemmas that have arisen. Diversity, equity, and inclusion have become key issues. Simulation training and the related ethics of its application have taken on new meaning. Access to health care continues to evolve and will need further evaluation in the years following the COVID-19 pandemic.

Medicaid Insurance is Associated With Decreased MRI Use for Ankle Sprains Compared With Private Insurance: A Retrospective Database Analysis.

BACKGROUND: Advanced imaging modalities are expensive, and access to advanced imaging services may vary by socioeconomic factors, creating the potential for unwarranted variations in care. Ankle sprains are a common injury for which variations in MRI use can occur, both via underuse of indicated MRIs (appropriate use) and overuse of nonindicated MRIs (inappropriate use). High-value, equitable healthcare would decrease inappropriate use and increase appropriate use of MRI for this common injury. It is unknown whether socioeconomic factors are associated with underuse of indicated MRIs and overuse of nonindicated MRIs for ankle sprains. QUESTIONS/PURPOSES: Using ankle sprains as a paradigm injury, given their high population incidence, we asked: (1) Does MRI use for ankle sprains vary by insurance type? (2) After controlling for relevant confounding variables, did patients who received an MRI have higher odds of undergoing ankle surgery? METHODS: Between 2011 and 2019, a total of 6,710,223 patients were entered into the PearlDiver Mariner Patient Records Database with a diagnosis of ankle sprain. We considered patients with continuous enrollment in the database for at least 1 year before and 2 years after the diagnosis as potentially eligible. Based on that, 68% (4,567,106) were eligible; a further 20% (1,372,478) were excluded because of age younger than 18 years, age at least 65 years with Medicaid insurance, or age < 65 years with Medicare insurance. Another 0.1% (9169) had incomplete data, leaving 47% (3,185,459) for analysis here. Patients with Medicaid insurance differed from patients with Medicare Advantage or private insurance with respect to age, gender, region, and comorbidity burden. The primary outcome was ankle MRI occurring within 12 months after diagnosis. The use of ankle surgery after MRI in each cohort was measured as a secondary outcome. We used multivariable logistic regression models to evaluate the association between insurance type and MRI use while adjusting for age, gender, region, and comorbidity burden. Separate multivariable regression models were created to evaluate the association between receiving an MRI and subsequent ankle surgery for each insurance type, adjusting for age, gender, region, and comorbidity burden. Within 12 months of an ankle sprain diagnosis, 1% (3522 of 339,457) of patients with Medicaid, 2% (44,793 of 2,627,288) of patients with private insurance, and 1% (1660 of 218,714) of patients with Medicare Advantage received an MRI. RESULTS: After controlling for age, gender, region, and comorbidity burden, patients with Medicaid had lower odds of receiving an MRI within 12 months after ankle sprain diagnosis than patients with private insurance (odds ratio 0.60 [95% confidence interval 0.57 to 0.62]; p < 0.001). Patients with Medicaid who received an MRI had higher adjusted odds of undergoing subsequent ankle surgery (OR 23 [95% CI 21 to 26]; p < 0.001) than patients with private insurance (OR 12.7 [95% CI 12 to 13]; p < 0.001). CONCLUSION: Although absolute MRI use was generally low, there was substantial relative variation by insurance type. Given the high incidence of ankle sprains in the general population, these relative differences can translate to tens of thousands of MRIs. Further studies are needed to evaluate the reasons for decreased appropriate MRI use in patients with Medicaid and overuse of MRI in patients with private insurance. The establishment of clinical practice guidelines by orthopaedic professional societies and more stringent gatekeeping for MRI use by health insurers could reduce unwarranted variations in MRI use. LEVEL OF EVIDENCE: Level III, prognostic study.

Wearable sensor and machine learning estimate tendon load and walking speed during immobilizing boot ambulation.

The purpose of this study is to develop a wearable paradigm to accurately monitor Achilles tendon loading and walking speed using wearable sensors that reduce subject burden. Ten healthy adults walked in an immobilizing boot under various heel wedge conditions (30°, 5°, 0°) and walking speeds. Three-dimensional motion capture, ground reaction force, and 6-axis inertial measurement unit (IMU) signals were collected. We used a Least Absolute Shrinkage and Selection Operator (LASSO) regression to predict peak Achilles tendon load and walking speed. The effects of altering sensor parameters were also explored. Walking speed models (mean absolute percentage error (MAPE): 8.81 ± 4.29%) outperformed tendon load models (MAPE: 34.93 ± 26.3%). Models trained with subject-specific data performed better than models trained without subject-specific data. Removing the gyroscope, decreasing the sampling frequency, and using combinations of sensors did not change the usability of the models, having inconsequential effects on model performance. We developed a simple monitoring paradigm that uses LASSO regression and wearable sensors to accurately predict (MAPE ≤ 12.6%) Achilles tendon loading and walking speed while ambulating in an immobilizing boot. This paradigm provides a clinically implementable strategy to longitudinally monitor patient loading and activity while recovering from Achilles tendon injuries.

The Importance of Perceived Barriers to Women Entering and Advancing in Orthopaedic Surgery in the US and Beyond.

BACKGROUND: Global perceptions of barriers to women in orthopaedics have not been assessed. The purpose of this study was to determine the importance of international barriers to women entering and advancing within orthopaedic surgery. METHODS: An anonymous, online survey was distributed to women medical students, trainees, and practicing surgeons via Women in Orthopaedics Worldwide, the "Women in Ortho" Facebook page, and individual programmes. Participants were asked to rate perceived barriers to (1) pursuing training and (2) career advancement on a scale of 1-5, with 5 being the most important and relative to other barriers. Descriptive statistics and univariate analyses were employed. RESULTS: The survey yielded 237 US (84.0%) and 45 international (16.0%) respondents. Per entering orthopaedic surgery, the most important barriers were male-dominated culture, lack of a strong women mentor, and lack of female representation at home institution. Compared with the US surgeons/trainees, international respondents cited greater societal disapproval (2.8 ± 1.2 vs. 3.4 ± 1.3, P = 0.01). Medical students assigned less importance to lack of exposure, more to lack of resources for creating competitive applications (P < 0.05). Regarding career advancement, lack of women leadership, family responsibilities, and gender-biased selection for promotion were the most important. International surgeons/trainees noted greater concern for societal disapproval (3.5 ± 1.5 vs. 2.6 ± 1.3, P = 0.003) and were more likely to rank sexual harassment in their top three (17.6 vs. 4.2%, P = 0.02). CONCLUSION: While notable differences exist, there is striking similarity across countries and position levels in perceived barriers to women entering and advancing in orthopaedic surgery. LEVEL OF EVIDENCE: III.

Strategies for Reducing Perioperative Opioid Use in Foot and Ankle Surgery: Education, Risk Identification, and Multimodal Analgesia.

There remains a high prevalence and substantial risks of opioid utilization amongst orthopedic patients. The goal of this review is to discuss strategies for responsible opioid use in the perioperative setting following foot and ankle orthopedic surgeries. We will highlight 1) education interventions, 2) risk identification, and 3) non-opioid alternatives for postoperative pain management.

Wearable sensor and machine learning accurately estimate tendon load and walking speed during immobilizing boot ambulation.

Achilles tendon injuries are treated with progressive weight bearing to promote tendon healing and restore function. Patient rehabilitation progression are typically studied in controlled, lab settings and do not represent the long-term loading experienced during daily living. The purpose of this study is to develop a wearable paradigm to accurately monitor Achilles tendon loading and walking speed using low-cost sensors that reduce subject burden. Ten healthy adults walked in an immobilizing boot under various heel wedge conditions (30°, 5°, 0°) and walking speeds. Three-dimensional motion capture, ground reaction force, and 6-axis inertial measurement unit (IMU) signals were collected per trial. We used Least Absolute Shrinkage and Selection Operator (LASSO) regression to predict peak Achilles tendon load and walking speed. The effects of using only accelerometer data, different sampling frequency, and multiple sensors to train the model were also explored. Walking speed models outperformed (mean absolute percentage error (MAPE): 8.41 ± 4.08%) tendon load models (MAPE: 33.93 ± 23.9%). Models trained with subject-specific data performed significantly better than generalized models. For example, our personalized model that was trained with only subject-specific data predicted tendon load with a 11.5 ± 4.41% MAPE and walking speed with a 4.50 ± 0.91% MAPE. Removing gyroscope channels, decreasing sampling frequency, and using combinations of sensors had inconsequential effects on models performance (changes in MAPE < 6.09%). We developed a simple monitoring paradigm that uses LASSO regression and wearable sensors to accurately predict Achilles tendon loading and walking speed while ambulating in an immobilizing boot. This paradigm provides a clinically implementable strategy to longitudinally monitor patient loading and activity while recovering from Achilles tendon injuries.

Are There Differences in Postoperative Opioid Prescribing Across Racial and Ethnic Groups? Assessment of an Academic Health System.

BACKGROUND: Previous studies have demonstrated racial disparities in opioid prescribing in emergency departments and after surgical procedures. Orthopaedic surgeons account for a large proportion of dispensed opioid prescriptions, yet there are few data investigating whether racial or ethnic disparities exist in opioid dispensing after orthopaedic procedures. QUESTIONS/PURPOSES: (1) Are Black, Hispanic or Latino, or Asian or Pacific Islander (PI) patients less likely than non-Hispanic White patients to receive an opioid prescription after an orthopaedic procedure in an academic United States health system? (2) Of the patients who do receive a postoperative opioid prescription, do Black, Hispanic or Latino, or Asian or PI patients receive a lower analgesic dose than non-Hispanic White patients when analyzed by type of procedure performed? METHODS: Between January 2017 and March 2021, 60,782 patients underwent an orthopaedic surgical procedure at one of the six Penn Medicine healthcare system hospitals. Of these patients, we considered patients who had not been prescribed an opioid within 1 year eligible for the study, resulting in 61% (36,854) of patients. A total of 40% (24,106) of patients were excluded because they did not undergo one of the top eight most-common orthopaedic procedures studied or their procedure was not performed by a Penn Medicine faculty member. Missing data consisted of 382 patients who had no race or ethnicity listed in their record or declined to provide a race or ethnicity; these patients were excluded. This left 12,366 patients for analysis. Sixty-five percent (8076) of patients identified as non-Hispanic White, 27% (3289) identified as Black, 3% (372) identified as Hispanic or Latino, 3% (318) identified as Asian or PI, and 3% (311) identified as another race ("other"). Prescription dosages were converted to total morphine milligram equivalents for analysis. Statistical differences in receipt of a postoperative opioid prescription were assessed with multivariate logistic regression models within procedure, adjusted for age, gender, and type of healthcare insurance. Kruskal-Wallis tests were used to assess for differences in the total morphine milligram equivalent dosage of the prescription, stratified by procedure. RESULTS: Almost all patients (95% [11,770 of 12,366]) received an opioid prescription. After risk adjustment, we found no differences in the odds of Black (odds ratio 0.94 [95% confidence interval 0.78 to 1.15]; p = 0.68), Hispanic or Latino (OR 0.75 [95% CI 0.47 to 1.20]; p = 0.18), Asian or PI (OR 1.00 [95% CI 0.58 to 1.74]; p = 0.96), or other-race patients (OR 1.33 [95% CI 0.72 to 2.47]; p = 0.26) receiving a postoperative opioid prescription compared with non-Hispanic White patients. There were no race or ethnicity differences in the median morphine milligram equivalent dose of postoperative opioid analgesics prescribed (p > 0.1 for all eight procedures) based on procedure. CONCLUSION: In this academic health system, we did not find any differences in opioid prescribing after common orthopaedic procedures by patient race or ethnicity. A potential explanation is the use of surgical pathways in our orthopaedic department. Formal standardized opioid prescribing guidelines may reduce variability in opioid prescribing. LEVEL OF EVIDENCE: Level III, therapeutic study.