Current Concept Review: Inclusion and Analysis of Diverse Study Populations in Orthopaedic Research

Analysis of the diversity pipeline for the orthopedic trauma surgeon workforce in the United States

INTRODUCTION

There is a lack of research on the state of racial, ethnic, and gender diversity in the emerging orthopedic trauma workforce. The purpose of this study was to analyze the training pathway for diverse candidates in orthopedic trauma as it relates to race, ethnicity, and sex.

METHODS

Self-reported demographic data were compared among allopathic medical students, orthopedic surgery residents, orthopedic trauma fellows, and the general population in the United States (2013-2022). Race categories consisted of White, Asian, Black, and Native American/Alaskan Native (NA/AN), and Native Hawaiian/Pacific Islander (NH/PI). Ethnicity categories were Hispanic/Latino or non-Hispanic/Latino. Sex categories were male and female. Representation was calculated at each stage of accredited training. Participation-to-prevalence ratios (PPRs) quantified the equitable representation of demographic groups in the emerging orthopedic trauma workforce relative to the US population. PPR thresholds were used to classify representation as overrepresented (PPR > 1.2), equitable (PPR = 0.8-1.2), and underrepresented (PPR < 0.8).

RESULTS

Relative to medical school and orthopedic surgery residency, fewer female (48.5 % vs 16.7 % vs 18.7 %, P < 0.001), Hispanic (6.1 % vs 4.5 % vs 2.6 %, P < 0.001), Black (6.9 % vs 5.0 % vs 3.1 %, P < 0.001), and Asian (24.0 % vs 14.3 % vs 12.2 %, P < 0.001) trainees existed in orthopedic trauma fellowship training. In contrast, more male (51.5 % vs 83.3 % vs 81.3 %, P < 0.001) and White (62.8 % vs 79.1 % vs 84.0 %, P < 0.001) trainees existed in orthopedic trauma fellowship relative to earlier training stages. There were zero NA/AN or NH/PI trainees in orthopedic trauma (PPR = 0). Relative to the US population, Hispanic (PPR = 0.14), Black (PPR = 0.25), and female (PPR = 0.37) trainees were underrepresented in orthopedic trauma. In contrast, Asian (PPR = 2.04), male (PPR = 1.64), and White (PPR = 1.36) trainees were overrepresented in orthopedic trauma.

CONCLUSION

Women, racial, and ethnic minorities are underrepresented in the emerging orthopedic trauma workforce relative to the US population, and earlier stages of training. Targeted recruitment and guided mentorship of these groups may lead to greater interest, engagement, and diversity in orthopedic trauma.

Workman's compensation as exclusion criteria in rotator cuff repair literature - are we inadvertently excluding race?

OBJECTIVE

Despite an equal willingness to participate in clinical trials, there is evidence that several minority populations are systematically under-represented in studies. One potential cause and frequently used exclusionary criterion in orthopedic trials is patients with active workman's compensation (WC) insurance claims. The purpose of this study is to determine demographic differences in patients undergoing arthroscopic rotator cuff repair with commercial and government insurance vs workers compensation claims.

METHODS

This was a retrospective review of patients who underwent primary arthroscopic rotator cuff repair at a single institution in the northeastern United States from 2018 to 2019. Patients undergoing revision cases were excluded. Chart review was used to extract demographic data such as age, gender, insurance, and reported race.

RESULTS

A total of 4553 patient records were reviewed and included. There were 742 WC patients and 3811 non-WC patients. Two hundred and forty-four patients did not report their race. Overall, WC patients differed from non-WC with respect to race (P < 0.001). One hundred and eleven (15.0%) of WC and 293 (7.7%) non-WC patients reported being 'Black' or 'African American' (P = 0.002). This compares to 368 (49.6%) WC and 2788 (73.2%) non-WC patients who reported 'White' (P < 0.001). About 16.8% of WC patients were identified as 'Hispanic or Latino,' compared to 5.2% of non-WC (P < 0.001).

CONCLUSION

African American and Hispanic/Latino patients are over-represented in workman's compensation patient populations relative to non-workman's compensation. Conversely, white patients are over-represented in non-WC patient populations, which serve as the basis for the majority of clinical study populations. Excluding workman's compensation patients from clinical trials may lead to an underrepresentation of African American and Hispanic/Latino patient populations in orthopedic clinical trials. In doing so, the generalizability of the results of rotator cuff repair clinical outcomes research to all races and ethnicities may be compromised.

Are orthopedic clinical trials representative? An analysis of race and ethnicity reported in clinical trials between 2007 and 2022 : Running title: representation of clinical trials in orthopedic surgery

INTRODUCTION

Prior studies investigating the racial and ethnic representation of orthopedic trial participants have found low rates of reporting, but these studies are dated due to the passing of the National Institutes of Health Final Rule in 2017 requiring the reporting of racial and ethnic data among clinical trials. Therefore, we evaluated the representativeness of orthopedic clinical trials before and after the Final Rule.

METHODS

A cross-sectional survey of orthopaedic clinical trials registered at ClinicalTrials.gov between October 1, 2007 and May 20, 2023 was conducted. After identifying and screening 23,752 clinical trials, 1564 trials were included in the analysis. Trials started before the implementation of the Final Rule on January 18, 2017 were grouped and compared to trials that began after. Odds ratios (OR) were utilized to identify trial characteristics associated with reporting race/ethnicity data. One-proportion z tests compared the representation of each racial and ethnic category to the 2020 United States Census.

RESULTS

In total, 34% (544 of 1564) of orthopedic clinical trials evaluated reported the race of participants, while 28% (438 of 1564) reported ethnicity. Trials registered after the Final Rule were more likely to report racial (OR: 5.15, 95%CI: 3.72-7.13, p < 0.001) and ethnic (OR: 3.23, 95%CI: 2.41-4.33, p < 0.001) representation of participants. Compared with the distribution of race and ethnicity reported by the United States 2020 Census, orthopedic trials had 16.6% more White participants (95% CI 16.4%, 16.8%; p < 0.001), 3.2% fewer Black participants (95%CI 3.1%, 3.3%; p < 0.001), and 5.7% fewer Hispanic/Latino participants (95%CI 5.2%, 6.2%; p < 0.001). Trials with enrollment sizes over 100 participants were also more likely to report race and ethnicity, with odds increasing with increased sample size.

CONCLUSIONS

The Final Rule marginally improved the reporting of race and ethnicity in orthopedic clinical trials, and underrepresentation of Black or African American, Multiracial, and Hispanic populations persists.

LEVEL OF EVIDENCE

III.

Lack of Demographic Information in Total Hip Arthroplasty/Total Knee Arthroplasty Randomized Controlled Trial Publications

BACKGROUND

The impact of social determinants of health (SDOH) has been documented in orthopaedic literature. However, there is a lack of data on the inclusion of these variables in orthopaedic studies. Our aim was to investigate how many total hip arthroplasties and total knee arthroplasties randomized controlled trials report SDOH variables such as race, ethnicity, insurance, income, and education within the manuscript.

METHODS

A systematic review was conducted on a PubMed search for randomized controlled trials published from 2017 to 2019 in the Journal of Bone and Joint Surgery, Journal of Arthroplasty, Clinical Orthopaedics and Related Research, and Osteoarthritis and Cartilage. Data collected included publication year, type of surgery, and the inclusion of race, ethnicity, insurance, income, and education.

RESULTS

Of the 72 manuscripts included in the study, 5.6% of the manuscripts mentioned race, 4.2% included race within the demographic table, and 1.4% included ethnicity in the demographic table. Overall, only 5 studies discussed any one of the variables studied and none included any SDOH variables in their multivariable regressions. There were no statistically significant differences on inclusion across journal year (P value = .78), journal name (P value = 1.00), or surgery type (P value = .555).

CONCLUSION

Our findings identify a major shortcoming in the inclusion of SDOH variables in total knee arthroplasty/total hip arthroplasty publications. Their exclusion may be indirectly perpetuating disparities if research that does not use representative patient samples is used in creating health policies and national standards.

LEVEL OF EVIDENCE

Level V.

Is Our Science Representative? A Systematic Review of Racial and Ethnic Diversity in Orthopaedic Clinical Trials from 2000 to 2020

BACKGROUND

A lack of racial and ethnic representation in clinical trials may limit the generalizability of the orthopaedic evidence base as it applies to patients in underrepresented minority populations and perpetuate existing disparities in use, complications, or functional outcomes. Although some commentators have implied the need for mandatory race or ethnicity reporting across all orthopaedic trials, the usefulness of race or ethnic reporting likely depends on the specific topic, prior evidence of disparities, and individualized study hypotheses.

QUESTIONS/PURPOSES

In a systematic review, we asked: (1) What proportion of orthopaedic clinical trials report race or ethnicity data, and of studies that do, how many report data regarding social covariates or genomic testing? (2) What trends and associations exist for racial and ethnic reporting among these trials between 2000 and 2020? (3) What is the racial or ethnic representation of United States trial participants compared with that reported in the United States Census?

METHODS

We performed a systematic review of randomized controlled trials with human participants published in three leading general-interest orthopaedic journals that focus on clinical research: The Journal of Bone and Joint Surgery, American Volume; Clinical Orthopaedics and Related Research; and Osteoarthritis and Cartilage. We searched the PubMed and Embase databases using the following inclusion criteria: English-language studies, human studies, randomized controlled trials, publication date from 2000 to 2020, and published in Clinical Orthopaedics and Related Research; The Journal of Bone and Joint Surgery, American Volume; or Osteoarthritis and Cartilage. Primary outcome measures included whether studies reported participant race or ethnicity, other social covariates (insurance status, housing or homelessness, education and literacy, transportation, income and employment, and food security and nutrition), and genomic testing. The secondary outcome measure was the racial and ethnic categorical distribution of the trial participants included in the studies reporting race or ethnicity. From our search, 1043 randomized controlled trials with 184,643 enrolled patients met the inclusion criteria. Among these studies, 21% (223 of 1043) had a small (< 50) sample size, 56% (581 of 1043) had a medium (50 to 200) sample size, and 23% (239 of 1043) had a large (> 200) sample size. Fourteen percent (141 of 1043) were based in the Northeast United States, 9.2% (96 of 1043) were in the Midwest, 4.7% (49 of 1043) were in the West, 7.2% (75 of 1043) were in the South, and 65% (682 of 1043) were outside the United States. We calculated the overall proportion of studies meeting the inclusion criteria that reported race or ethnicity. Then among the subset of studies reporting race or ethnicity, we determined the overall rate and distribution of social covariates and genomic testing reporting. We calculated the proportion of studies reporting race or ethnicity that also reported a difference in outcome by race or ethnicity. We calculated the proportion of studies reporting race or ethnicity by each year in the study period. We also calculated the proportions and 95% CIs of individual patients in each racial or ethnic category of the studies meeting the inclusion criteria.

RESULTS

During the study period (2000 to 2020), 8.5% (89 of 1043) of studies reported race or ethnicity. Of the trials reporting this factor, 4.5% (four of 89) reported insurance status, 15% (13 of 89) reported income, 4.5% (four of 89) reported housing or homelessness, 18% (16 of 89) reported education and literacy, 0% (0 of 89) reported transportation, and 2.2% (two of 89) reported food security or nutrition of trial participants. Seventy-eight percent (69 of 89) of trials reported no social covariates, while 22% (20 of 89) reported at least one. However, 0% (0 of 89) of trials reported genomic testing. Additionally, 5.6% (five of 89) of these trials reported a difference in outcomes by race or ethnicity. The proportion of studies reporting race or ethnicity increased, on average, by 0.6% annually (95% CI 0.2% to 1.0%; p = 0.02). After controlling for potentially confounding variables such as funding source, we found that studies with an increased sample size were more likely to report data by race or ethnicity; location in North America overall, Europe, Asia, and Australia or New Zealand (compared with the Northeast United States) were less likely to; and specialty-topic studies (compared with general orthopaedics research) were less likely to. Our sample of United States trials contained 18.9% more white participants than that reported in the United States Census (95% CI 18.4% to 19.4%; p < 0.001), 5.0% fewer Black participants (95% CI 4.6% to 5.3%; p < 0.001), 17.0% fewer Hispanic participants (95% CI 16.8% to 17.1%; p < 0.001), 5.3% fewer Asian participants (95% CI 5.2% to 5.4%; p < 0.001), and 7.5% more participants from other groups (95% CI 7.2% to 7.9%; p < 0.001).

CONCLUSION

Reporting of race or ethnicity data in orthopaedic clinical trials is low compared with other medical fields, although the proportion of diseases warranting this reporting might be lower in orthopaedics.

CLINICAL RELEVANCE

Investigators should initiate discussions about race and ethnicity reporting in the early stages of clinical trial development by surveying available published evidence for relevant health disparities, social determinants, and, when warranted, genomic risk factors. The decision to include or exclude race and ethnicity data in study protocols should be based on specific hypotheses, necessary statistical power, and an appreciation for unmeasured confounding. Future studies should evaluate cost-efficient mechanisms for obtaining baseline social covariate data and investigate researcher perspectives on current administrative workflows and decision-making algorithms for race and ethnicity reporting.

Socioeconomic Disparities in the Utilization of Total Hip Arthroplasty

BACKGROUND

There is increasing focus on highlighting disparities in both access to and equity of care in orthopedics and understanding the impact disparities have on patient health. The purpose of the present study is to evaluate socioeconomic-related factors affecting whether a patient undergoes total hip arthroplasty (THA) after a diagnosis of osteoarthritis.

METHODS

From 2011 to 2018, patients ≥40 years of age diagnosed with hip osteoarthritis were identified in the New York Statewide Planning and Research Cooperative System, a comprehensive all-payer database collecting preadjudicated claims in New York State. International Classification of Diseases, Ninth Revision/Tenth Revision codes were used to identify the initial diagnosis and subsequent THA. Logistic regression analysis was performed to determine the effect of patient factors on the likelihood of undergoing THA.

RESULTS

Of 142,681 hip osteoarthritis diagnoses, 48.6% proceeded to THA. Compared to non-Hispanic white patients, Asian (odds ratio [OR] 0.65, P < .0001), Black (OR 0.51, P < .0001), and "Other" race (OR 0.54, P < .0001) had lower odds of THA. Hispanic patients (OR 0.55, P < .0001) had lower odds of surgery. Compared to commercial insurance, Medicare (OR 0.83, P < .0001), Medicaid (OR 0.49, P < .0001), Self-pay (OR 0.78, P < .0001), and workers' compensation (OR 0.71, P < .0001) had lower odds of THA. Having one or more Charlson Comorbidity Index (OR 0.45, P < .0001) was associated with lower odds of THA, as was increased social deprivation (OR 0.99, P < .0001).

CONCLUSION

THA is associated with disparities among race, gender, primary insurance, and social deprivation. Additional research is necessary to identify the cause of these disparities to improve equity in patient care.

Observational study of an inpatient program for musculoskeletal disorders: The effects of gender and physical activity

A new inpatient secondary preventive program for patients with musculoskeletal health problems was introduced throughout Austria. The aim of the current work was to evaluate this "Health Prevention Active" program and its possible influences on the quality of medical results upon hospital discharge.This observational study presents monocentric data for 7448 patients (48.99 ± 6.15 years; 53.7% women) with chronic musculoskeletal disorders who completed a 3-week health program. The focus was placed on measuring medical quality outcomes such as BMI, blood pressure, heart rate, pain, subjective ratings, and achieved power output in cycle ergometer exercise testing. We describe pre-post changes before and after the inpatient program and the results of a follow-up survey conducted after 1 year to identify moderating factors related to health outcomes.The medical baseline showed obvious deficits regarding obesity, hypertension, and subjective symptoms. Of all patients, 36.5% were completely inactive. The patient's gender and physical activity had a high impact on the medical baseline status. In total, the majority of patients (86.2%; SMD = -0.78 ± 0.59) responded well to the health prevention program, independent of their ages and lifestyles.Requirements for secondary prevention programs are high. The results of the study reflect the general problems presented by inactivity, obesity, and subjective symptoms like pain. Physical activity was specifically identified as a major factor for the observed medical baseline status.