American Orthopaedic Foot and Ankle Society Annual Meeting All-in-person Attendance Results in Immense Carbon Expenditure.

BACKGROUND: Professional society conferences are integral to the medical profession. However, airline travel is a major contributor to greenhouse gas production, and the environmental impact of in-person attendance at an orthopaedic conference has yet to be described. With growing concern about the climate crisis, we sought to quantify the carbon footprint of in-person attendance to help potential attendees more consciously consider in-person attendance, inform strategies to minimize greenhouse gas emissions during travel to annual meetings, and increase awareness about and momentum for efforts in orthopaedic surgery to reduce the carbon footprint of society conferences. QUESTIONS/PURPOSES: (1) What was the magnitude of greenhouse gas production resulting from all-in-person 2019 American Orthopaedic Foot and Ankle Society (AOFAS) annual meeting attendance in Chicago, IL, USA? (2) What was the magnitude of greenhouse gas production resulting from the all-virtual 2020 AOFAS annual meeting, and how does it compare with the 2019 AOFAS annual meeting carbon footprint? (3) To what extent could an alternative in-person meeting model with four or seven hubs decrease greenhouse gas production resulting from round-trip air travel compared with the 2019 AOFAS annual meeting? METHODS: A list of the postal codes and countries of all 1271 registered participants attending the four-day 2019 AOFAS annual meeting in Chicago, IL, USA, was obtained from AOFAS headquarters. The 2019 conference was chosen because it was the last pre-COVID meeting and thus attendance was more likely to resemble that at prepandemic in-person conferences than more recent meetings because of pandemic travel restrictions. We estimated carbon dioxide-equivalent (CO 2 e) production from round-trip air travel using a publicly available internet-based calculator (Myclimate: https://co2.myclimate.org/en/flight_calculators/new ). Emissions produced by the conference venue, car travel, and hotel stays were estimated using published Environmental Protection Agency emission factors. To estimate emissions produced by the all-virtual 2020 AOFAS annual meeting (assuming an equal number of attendees as in 2019), we used the framework published by Faber and summed estimated network data transfer emissions, personal computer and monitor emissions, and server-related emissions. Using the 2019 registrant list, we modeled four-hub and seven-hub in-person meeting alternatives to determine potential decreased round-trip air travel greenhouse gas production. Meeting hub locations were selected by visualizing the geographic distribution of the 2019 registrants and selecting reasonable meeting locations that would minimize air travel for the greatest number of attendees. Registrants were assigned to the nearest hub location. Myclimate was again used to estimate CO 2 e production for round-trip air travel for the hub meeting models. RESULTS: The total estimated emissions of the all-in-person 2019 AOFAS annual meeting (when accounting for travel, conference space, and hotel stays) was 1565 tons CO 2 e (median 0.61 tons per attendee, range 0.02 to 7.7 tons). The total estimated emissions of the all-virtual 2020 meeting (when accounting for network data transfer emissions, personal computer and monitor emissions, and server-related emissions) was 34 tons CO 2 e (median 0.03 tons per attendee). This corresponds to a 97.8% decrease in CO 2 e emissions compared with the in-person conference. The model of a four-hub in-person meeting alternative with meetings in Chicago, Santiago, London, and Tokyo predicted an estimated 54% decrease in CO 2 e emissions from round-trip air travel. The seven-hub meeting model with meetings in Chicago; Washington, DC; Dallas; Los Angeles; Santiago; London; and Tokyo was predicted to diminish the CO 2 e emissions of round-trip air travel by an estimated 71%. CONCLUSION: The 2019 AOFAS annual meeting had an enormous carbon footprint and resulted in many individuals exceeding their annual allotted carbon budget (2.5 tons) according to the Paris Agreement. Hosting the meeting virtually greatly reduced the annual meeting carbon footprint, and our hub-based meeting models identified potential in-person alternatives for reducing the carbon footprint of conference attendance. CLINICAL RELEVANCE: Professional societies must consider our responsibility to decarbonizing the healthcare sector by considering innovative approaches-perhaps such as our multihub proposals-to decarbonize carbon-intensive annual meetings without stalling academic progress.

The Effects of Sociodemographic Factors on Baseline Patient-Reported Outcome Measures in Patients with Foot and Ankle Conditions.

BACKGROUND: Racial and ethnic care disparities persist within orthopaedics in the United States. This study aimed to deepen our understanding of which sociodemographic factors most impact patient-reported outcome measure (PROM) score variation and may explain racial and ethnic disparities in PROM scores. METHODS: We retrospectively reviewed baseline PROMIS (Patient-Reported Outcomes Measurement Information System) Global-Physical (PGP) and PROMIS Global-Mental (PGM) scores of 23,171 foot and ankle patients who completed the instrument from 2016 to 2021. A series of regression models was used to evaluate scores by race and ethnicity after adjusting in a stepwise fashion for household income, education level, primary language, Charlson Comorbidity Index (CCI), sex, and age. Full models were utilized to compare independent effects of predictors. RESULTS: For the PGP and PGM, adjusting for income, education level, and CCI reduced racial disparity by 61% and 54%, respectively, and adjusting for education level, language, and income reduced ethnic disparity by 67% and 65%, respectively. Full models revealed that an education level of high school or less and a severe CCI had the largest negative effects on scores. CONCLUSIONS: Education level, primary language, income, and CCI explained the majority (but not all) of the racial and ethnic disparities in our cohort. Among the explored factors, education level and CCI were predominant drivers of PROM score variation. LEVEL OF EVIDENCE: Prognostic Level IV . See Instructions for Authors for a complete description of levels of evidence.

Impact of insurance type on patient-reported outcome measures in patients with lumbar disc herniation.

BACKGROUND: Lumbar disc herniations (LDH) are among the most common spinal conditions. Despite increased appreciation for the importance of social determinants of health, the role that these factors play in patients with lumbar disc herniations is poorly defined. PURPOSE: To elucidate the association between insurance status and baseline patient reported outcome measures (PROMs) in the setting of lumbar disc herniations. STUDY DESIGN/SETTING: Retrospective cohort study PATIENT SAMPLE: Baseline patient-reported outcome measures (PROMS) were reviewed from 924 adult patients presenting for treatment of lumbar disc herniation within our institutional healthcare system (2015-2020). OUTCOME MEASURES: The Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Short Form 10a (PF10a), PROMIS Global-Mental, PROMIS Global-Physical, and visual analogue scale (VAS) for back and leg pain were assessed. METHODS: PROMIS scores at presentation were defined at the primary outcome and insurance status as the primary predictor. Differences in clinical and sociodemographic characteristics between our cohorts, stratified by insurance status, were evaluated using Wilcoxon rank-sum or chi-squared testing. We used multivariable negative binomial regression modeling to adjust for potential confounders including age, gender, race, language, ethnicity, comorbidity index, and median geospatial household income. RESULTS: We included 924 patients, with mean age of 58.4 +/- 15.2 years and 52.6% male prevalence. Patients insured through Medicaid were more likely to be Black, Hispanic, and non-English speaking patients compared with the commercially insured. The Charlson Comorbidity index was significantly higher in the Medicare group. Following adjusted analysis, patients with Medicaid insurance had significantly worse PF10a (IRR, 0.90, 95% CI 0.85-0.96), as well as PROMIS Global-Physical score (IRR 0.88, 95% CI 0.82-0.94), and VAS low back pain (IRR 1.20, 95% CI 1.04-1.40) when compared to the commercially insured. CONCLUSIONS: We encountered worse physical function, mental, and pain-related patient-reported outcomes for those with Medicaid insurance in a population of patients presenting for evaluation of lumbar disc herniation. These findings, including worse depression, anxiety, and higher axial back pain scores, merit further investigation into potential health system asymmetries, and should be accounted for by treating providers.

Insurance Type is Associated with Baseline Patient-Reported Outcome Measures in Patients with Lumbar Stenosis.

STUDY DESIGN: Retrospective cohort study. OBJECTIVE: To determine if insurance type is associated with differences in baseline patient-reported outcome measures (PROMs) among patients with lumbar spinal stenosis (LSS). SUMMARY OF BACKGROUND DATA: PROMs are increasingly used as means to convey value. Prior research suggests that sociodemographic factors, including insurance type may influence these metrics, with patients who are more socioeconomi-cally disadvantaged reporting poorer baseline PROMs. Nonetheless, this association is yet to be evaluated among patients with spinal stenosis. METHODS: Six-hundred-eight patients with LSS were identified within a major academic health system. Their baseline Patient-Reported Outcomes Measurement Information System for physical function, pain, anxiety and depression, and visual analogue scale for low back and leg pain were analyzed. Wilcoxon rank-sum testing and chi-squared testing were utilized for descriptive nonadjusted comparisons. Negative binomial regression modeling was performed with PROMs considered as dependent variables, insurance type as the primary predictor, and all other factors (e.g., Charlson Comorbidity Index, age, gender, race, ethnicity, language spoken, and median geospatial household income) considered as covariates. RESULTS: The mean age of the cohort was 62.6 ± 14years with a female majority (50.7%). Patients with Medicaid insurance were younger, more likely to be Hispanic, and less likely to be English-speaking than those with commercial insurance or Medicare. Overall, patients with Medicaid insurance were found to have worse baseline PROMs across almost all domains, with the worst performance in Patient-Reported Outcomes Measurement Information System 10 physical global (incidence rate ration 0.88, 95% confidence interval 0.82-0.95) and mental function (incidence rate ration 0.85, 95% confidence interval 0.80-0.92). CONCLUSION: LSS patients insured through Medicaid have systematically worse baseline PROMs across almost all domains as compared to those with commercial insurance and Medicare, even after adjusting for confounders. These findings have broad ranging implications for research and healthcare policy, especially when using PROMs as measures of value.

Excess Opioid Disposal Following Orthopaedic Surgery: A Randomized Clinical Trial.

BACKGROUND: Previous research indicates low disposal rates of excess postoperative narcotics, leaving them available for diversion or abuse. This study examined the effect of introducing a portable disposal device on excess opiate opioid disposal rates after lower extremity orthopaedic surgery. METHODS: This was a single site randomized control trial within an outpatient orthopaedic clinic. All patients 18 years or older, undergoing outpatient foot and ankle surgery between December 1, 2017 and August 1, 2018 were eligible. Patients were prospectively enrolled and randomized to receive standard opioid disposal instructions or a drug deactivation device at 2-week postoperative appointments. Participants completed an anonymous survey at 6-week postoperative appointments. RESULTS: Of the 75 patients surveyed, 68% (n = 26) of the experimental group and 56% (n = 21) of the control group had unused opioid medication. Of these, 84.6% of patients who were given Deterra Drug Deactivation System deactivation pouches safely disposed of excess medication, compared with 38% of controls (P = .003). When asked if they would use a disposal device for excess medication in the future, 97.4% (n = 37) of the experimental and 83.8% (n = 31) of the control group reported that they would. CONCLUSIONS: Providing a portable disposal device with postoperative narcotic prescriptions may increase safe disposal rates of excess opioid medication following lower extremity orthopaedic surgery. LEVELS OF EVIDENCE: Level I.

Correlation Between Patient-Reported Outcome Measures and Health Insurance Provider Types in Patients with Hip Osteoarthritis.

BACKGROUND: Patient-reported outcome measures (PROMs) are frequently utilized to assess patient perceptions of health and function. Numerous factors influence self-reported physical and mental health outcome scores. The purpose of this study was to examine if an association exists between insurance payer type and baseline PROM scores in patients diagnosed with hip osteoarthritis. METHODS: We retrospectively reviewed the baseline PROM scores of 5,974 patients diagnosed with hip osteoarthritis according to the International Classification of Diseases, Tenth Revision (ICD-10) code within our institutional database from 2015 to 2020. We examined Hip disability and Osteoarthritis Outcome Score-Physical Function Short-form (HOOS-PS), Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Short Form 10a (PF10a), PROMIS Global-Mental, and PROMIS Global-Physical scores. Descriptive analyses, analysis of variance (ANOVA), analysis of covariance (ANCOVA), and post hoc analyses were utilized to assess variations in PROM scores across insurance type. RESULTS: The mean age (and standard deviation) of the study population was 63.5 ± 12.2 years, and 55.7% of patients were female. The Medicaid cohort had a comparatively higher percentage of Black, Hispanic, and non-English-speaking patients and a lower median household income. The Charlson Comorbidity Index was highest in the Medicare and Medicaid insurance cohorts. Patients utilizing commercial insurance consistently demonstrated the highest baseline PROMs, and patients utilizing Medicaid consistently demonstrated the lowest baseline PROMs. Subsequent analyses found significantly poorer mean scores for the Medicaid cohort for all 4 PROMs when compared with the commercial insurance and Medicare cohorts. These score differences exceeded the minimal clinically important differences (MCIDs). For the PROMIS Global-Mental subscore, a significantly lower mean score was observed for the Workers' Compensation and motor vehicle insurance cohort when compared with the commercial insurance and Medicare cohort. This difference also exceeded the MCID. CONCLUSIONS: PROM scores in patients with hip osteoarthritis varied among those with different insurance types. Variations in certain demographic and health indices are potential drivers of these observed baseline PROM differences. For patients with hip osteoarthritis, the use of PROMs for research, clinical, or quality-linked payment metrics should acknowledge baseline variation between patients with different insurance types. LEVEL OF EVIDENCE: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

The Effect of Health Insurance Coverage on Orthopaedic Patient-reported Outcome Measures.

INTRODUCTION: Patient-reported outcome measures (PROMs) are used to assess performance and value. The type of health insurance coverage may influence outcomes scores. The goal of this study was to determine if the type of insurance coverage is associated with the trends in PROMs within an orthopaedic cohort. METHODS: We reviewed the electronic medical records of 10,745 adult foot and ankle patients who completed PROMs questionnaires from 2015 to 2017. Patients completed the Foot and Ankle Ability Measure, PROMIS Global-Mental, PROMIS Global-Physical, and PROMIS Physical Function Short Form 10a. Descriptive analyses, analysis of variance, and Tukey HSD (honest significant difference) post hoc analyses were conducted. RESULTS: Patients with commercial insurance consistently had the highest outcomes scores, whereas those with Workers Comp/Motor Vehicle and Medicaid had the lowest. PROMs of patients with commercial insurance were statistically significantly higher than the pooled scores of all other patients. Markedly poorer scores were also seen for Workers Comp/Motor Vehicle and Medicaid. In addition, these differences in PROMs for Workers Comp/Motor Vehicle and Medicaid exceeded the minimal clinically important differences. Patients with Medicare or Free Care had generally lower scores than the pooled averages, but these results were not statistically significant. DISCUSSION: PROMs scores vary between the patients with different insurance types in an orthopaedic foot and ankle cohort. These data suggest that patient insurance type may affect patient-reported outcomes. LEVEL OF EVIDENCE: Level III, Retrospective Cohort.

Unaltered Hypothalamic Metabolic Gene Expression in Kiss1r Knockout Mice Despite Obesity and Reduced Energy Expenditure.

Kisspeptin controls reproduction by stimulating gonadotrophin-releasing hormone neurones via its receptor Kiss1r. Kiss1r is also expressed other brain areas and in peripheral tissues, suggesting additional nonreproductive roles. We recently determined that Kiss1r knockout (KO) mice develop an obese and diabetic phenotype. In the present study, we investigated whether Kiss1r KOs develop this metabolic phenotype as a result of alterations in the expression of metabolic genes involved in the appetite regulating system of the hypothalamus, including neuropeptide Y (Npy) and pro-opiomelanocortin (Pomc), as well as leptin receptor (Lepr), ghrelin receptor (Ghsr), and melanocortin receptors 3 and 4 (Mc3r, Mc4r). Body weights, leptin levels and hypothalamic gene expression were measured in both gonad-intact and gonadectomised (GNX) mice at 8 and 20 weeks of age that had received either normal chow or a high-fat diet. We detected significant increases in Pomc expression in gonad-intact Kiss1r KO mice at 8 and 20 weeks, although there were no alterations in the other metabolic-related genes. However, the Pomc increases appeared to reflect genotype differences in circulating sex steroids, because GNX wild-type and Kiss1r KO mice exhibited similar Pomc levels, along with similar Npy levels. The altered Pomc gene expression in gonad-intact Kiss1r KO mice is consistent with previous reports of reduced food intake in these mice and may serve to increase the anorexigenic drive, perhaps compensating for the obese state. However, the surprising overall lack of changes in any of the hypothalamic metabolic genes in GNX KO mice suggests that the aetiology of obesity in the absence of kisspeptin signalling may reflect peripheral rather than central metabolic impairments.