Changes in racial and ethnic disparities in lumbar spinal surgery associated with the passage of the Affordable Care Act, 2006-2014

Does Medicare Insurance Mitigate Racial/Ethnic Disparities in Access to Lumbar Spinal Surgery When Compared to Commercial Insurance?

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

Compare disparities in lumbar surgical care utilization in Commercially insured versus Medicare patients.

SUMMARY OF BACKGROUND DATA

While disparities in spinal surgery have been previously described, less evidence exists on effective strategies to mitigate them. Theoretically, universal health care coverage under Medicare should improve health care access.

MATERIALS AND METHODS

Utilizing National Inpatient Sample data (2003-2018), we included inpatient lumbar discectomy or laminectomy/fusion cases in black, white, or Hispanic patients aged 18-74 years, with Commercial or Medicare insurance. A multivariable Poisson distribution model determined race/ethnicity subgroup-specific rate ratios (RRs) of patients undergoing lumbar surgery compared to their respective population distribution (using US Census data) based on race/ethnicity, region, gender, primary payor, and age (Commercially insured age subgroups: 18-39, 40-54, and 55-64 y; Medicare age subgroup: 65-74 y).

RESULTS

Of the 2,310,956 lumbar spine procedures included, 88.9%, 6.1%, and 5.0% represented white, black, and Hispanic patients, respectively. Among Commercially insured patients, black and Hispanic (compared to white) patients had lower rates of surgical care utilization; however, these disparities decreased with increasing age: black (RR=0.37, 95% CI: 0.37-0.38) and Hispanic patients (RR=0.53, 95% CI: 0.52-0.54) aged 18-39 years versus black (RR=0.72, 95% CI: 0.71-0.73) and Hispanic patients (RR=0.64, 95% CI: 0.63-0.65) aged 55-64 years. Racial/ethnic disparities persisted in Medicare patients, especially when compared to the neighboring age subgroup that was Commercially insured: black (RR=0.61, 95% CI: 0.60-0.62) and Hispanic patients (RR=0.61, 95% CI: 0.60-0.61) under Medicare.

CONCLUSIONS

Disparities in surgical care utilization among black and Hispanic patients persist regardless of health care coverage, and an expansion of Medicare eligibility alone may not comprehensively address health care disparities.

LEVEL OF EVIDENCE

Level III.

Disparities in Provider Ordering Practices of Image-Guided Interventions and Surgery for Patients With Low Back Pain: A Cohort Study

OBJECTIVE

To assess individual- and neighborhood-level sociodemographic factors associating with providers' ordering of nonpharmacologic treatments for patients with low back pain (LBP), specifically physical therapy, image-guided interventions, and lumbar surgery.

METHODS

Our cohort included all patients diagnosed with LBP from 2000 to 2017 in a statewide database of all hospitals and ambulatory surgical facilities within Utah. We compared sociodemographic and clinical characteristics of (1) patients with LBP who received any treatment with those who received none and (2) patients with LBP who received invasive LBP treatments with those who only received noninvasive LBP treatments using the Student's t test, Wilcoxon's rank-sum tests, and Pearson's χ2 tests, as applicable, and two separate multivariate logistic regression models: (1) to determine whether sociodemographic characteristics were risk factors for receiving any LBP treatments and (2) risk factors for receiving invasive LBP treatments.

RESULTS

Individuals in the most disadvantaged neighborhoods were less likely to receive any nonpharmacologic treatment orders (odds ratio [OR] 0.74 for most disadvantaged, P < .001) and received fewer invasive therapies (0.92, P = .018). Individual-level characteristics correlating with lower rates of treatment orders were female sex, Native Hawaiian or other Pacific Islander race (OR 0.50, P < .001), Hispanic ethnicity (OR 0.77, P < .001), single or unmarried status (OR 0.69, P < .001), and no insurance or self-pay (OR 0.07, P < .001).

CONCLUSION

Neighborhood and individual sociodemographic variables associated with treatment orders for LBP with Area Deprivation Index, sex, race or ethnicity, insurance, and marital status associating with receipt of any treatment, as well as more invasive image-guided interventions and surgery.

Socioeconomic disparities in lumbar fusion rates were exacerbated during the COVID-19 pandemic

Background

The COVID-19 pandemic disrupted healthcare access and utilization throughout the US, with variable impact on patients of different socioeconomic status (SES) and race. We characterize pre-pandemic and pandemic demographic and SES trends of lumbar fusion patients in the US.

Methods

Adults undergoing first-time lumbar fusion 1/1/2004-3/31/2021 were assessed in Clinformatics® Data Mart for patient age, geographical location, gender, race, education level, net worth, and Charlson Comorbidity Index (CCI). Multivariable regression models were used to evaluate the significance of trends over time, with a focus on pandemic trends 2020-2021 versus previous trends 2004-2019.

Results

The total 217,204 patients underwent lumbar fusions, 1/1/2004-3/31/2021. The numbers and per capita rates of lumbar fusions increased 2004-2019 and decreased in 2020 (first year of COVID-19 pandemic), with large variation in geographic distribution. There was overall a significant decrease in proportion of White patients undergoing lumbar fusion over time (OR=0.997, p<.001), though they were more likely to undergo surgery during the pandemic (OR=1.016, p<.001). From 2004-2021, patients were more likely to be educated beyond high school. Additionally, patients in the highest (>$500k) and lowest (<$25k) net worth categories had significantly more fusions over time (p<.001). During the pandemic (2020-2021), patients in higher net worth groups were more likely to undergo lumbar fusions ($150k-249k & $250k-499k: p<.001) whereas patients in the lowest net worth group had decreased rate of surgeries (p<.001). Lastly, patients' CCI increased significantly from 2004 to 2021 (coefficient=0.124, p<.001), and this trend held true during the pandemic (coefficient=0.179, p<.001).

Conclusions

To the best of our knowledge, our work represents the most comprehensive and recent characterization of SES variables in lumbar fusion rates. Unsurprisingly, lumbar fusions decreased overall with the onset of the COVID-19 pandemic. Importantly, disparities in fusion patients across patient race and wealth widened during the pandemic, reversing years of progress, a lesson we can learn for future public health emergencies.

Addressing the Impact of Race and Ethnicity on Musculoskeletal Spine Care in the United States

➤ Despite being a social construct, race has an impact on outcomes in musculoskeletal spine care.➤ Race is associated with other social determinants of health that may predispose patients to worse outcomes.➤ The musculoskeletal spine literature is limited in its understanding of the causes of race-related outcome trends.➤ Efforts to mitigate race-related disparities in spine care require individual, institutional, and national initiatives.

Demographic and Socioeconomic Trends in Cervical Fusion Utilization from 2004 Through 2021 and the COVID-19 Pandemic

BACKGROUND

Cervical fusion rates increased in the U.S. exponentially 1990-2014, but trends leading up to/during the COVID-19 pandemic have not been fully evaluated by patient socioeconomic status (SES). Here, we provide the most recent, comprehensive characterization of demographic and SES trends in cervical fusions, including during the pandemic.

METHODS

We collected the following variables on adults undergoing cervical fusions, 1/1/2004-3/31/2021, in Optum's Clinformatics Data Mart: age, Charlson Comorbidity Index, provider's practicing state, gender, race, education, and net worth. We performed multivariate linear and logistic regression to evaluate associations of cervical fusion rates with SES variables.

RESULTS

Cervical fusion rates increased 2004-2016, then decreased 2016-2020. Proportions of Asian, Black, and Hispanic patients undergoing cervical fusions increased (OR = 1.001,1.001,1.004, P < 0.01), with a corresponding decrease in White patients (OR = 0.996, P < 0.001) over time. There were increases in cervical fusions in higher education groups (OR = 1.006, 1.002, P < 0.001) and lowest net worth group (OR = 1.012, P < 0.001). During the pandemic, proportions of White (OR = 1.015, P < 0.01) and wealthier patients (OR ≥ 1.015, P < 0.01) undergoing cervical fusions increased.

CONCLUSIONS

We present the first documented decrease in annual cervical surgery rates in the U.S. Our data reveal a bimodal distribution for cervical fusion patients, with racial-minority, lower-net-worth, and highly-educated patients receiving increasing proportions of surgical interventions. White and wealthier patients were more likely to undergo cervical fusions during the COVID-19 pandemic, which has been reported in other areas of medicine but not yet in spine surgery. There is still considerable work needed to improve equitable access to spine care for the entire U.S.

POPULATION

Racial/ethnic and income-based differences in the use of surgery for cervical and lumbar disorders in New York State: a retrospective analysis

BACKGROUND CONTEXT

The extent to which use of spine surgeries for patients with cervical and lumbar disorders varies by their race/ethnicity and income is currently unknown.

PURPOSE

To assess racial/ethnic and income-based differences in use of spine surgery in New York State (NYS) from 2016 to 2019.

STUDY DESIGN

Retrospective observational analysis using 2016 to 2019 New York Statewide Planning and Research Cooperative System (SPARCS) data, direct standardization, and multivariable mixed-effects linear regression models.

METHODS

A dataset of patients who underwent surgery for cervical and spinal disorders in NYS in the period 2016 to 2019 was used to determine county-level age- and sex-standardized annual cervical and lumbar surgery rates expressed as number of surgeries per 10,000 individuals. Further sub-analysis was performed with the key independent variables being the combination of individual-level race/ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic individuals) and income (low-/high-income residing in zip codes below/above state median income); and year. We estimated multivariable mixed-effects linear regression models which controlled county-level variables to determine the adjusted rates of spine surgeries for patients belonging to various race/ethnicity and income group combinations.

RESULTS

The study included 29,650 and 42,498 patients in the cervical and lumbar cohorts, respectively. In 2019, the county-level mean cervical and lumbar surgery rates were 3.88 and 5.19 surgeries per 10,000 individuals, respectively. There was a five-fold rate variation across NYS. In 2019, the adjusted cervical rates were 4.59 (White low-income), 4.96 (White high-income), 7.20 (Black low-income), 3.01 (Black high-income), 4.37 (Hispanic low-income), and 1.17 (Hispanic high-income). The adjusted lumbar rates were 5.49 (White low-income), 6.31 (White high-income), 9.43 (Black low-income), 2.47 (Black high-income), 4.22 (Hispanic low-income), and 2.02 (Hispanic high-income). The rates for low-income Black or Hispanic patients were significantly higher than their high-income counterparts. Low-income Black patients had the highest rates. Over the study period, the gap/difference increased significantly between high-income Hispanic and White individuals by 2.19 (95% confidence interval [CI]: -4.27, -0.10, p=.04) for cervical surgery; and between low-income Black and White individuals by 2.82 (2.82, 95% CI: 0.59, 5.06, p=.01) for lumbar surgery.

CONCLUSION

There are differences in the rates of spine surgery in New York State, among identifiable groups. Black individuals from poorer zip codes experience relatively higher spine surgery rates. Understanding the drivers of surgical rate variation is key to improving the equitable delivery of spine care. A better understanding of such rate variations could inform health policy.

Predicting decompression surgery by applying multimodal deep learning to patients' structured and unstructured health data

BACKGROUND

Low back pain (LBP) is a common condition made up of a variety of anatomic and clinical subtypes. Lumbar disc herniation (LDH) and lumbar spinal stenosis (LSS) are two subtypes highly associated with LBP. Patients with LDH/LSS are often started with non-surgical treatments and if those are not effective then go on to have decompression surgery. However, recommendation of surgery is complicated as the outcome may depend on the patient's health characteristics. We developed a deep learning (DL) model to predict decompression surgery for patients with LDH/LSS.

MATERIALS AND METHOD

We used datasets of 8387 and 8620 patients from a prospective study that collected data from four healthcare systems to predict early (within 2 months) and late surgery (within 12 months after a 2 month gap), respectively. We developed a DL model to use patients' demographics, diagnosis and procedure codes, drug names, and diagnostic imaging reports to predict surgery. For each prediction task, we evaluated the model's performance using classical and generalizability evaluation. For classical evaluation, we split the data into training (80%) and testing (20%). For generalizability evaluation, we split the data based on the healthcare system. We used the area under the curve (AUC) to assess performance for each evaluation. We compared results to a benchmark model (i.e. LASSO logistic regression).

RESULTS

For classical performance, the DL model outperformed the benchmark model for early surgery with an AUC of 0.725 compared to 0.597. For late surgery, the DL model outperformed the benchmark model with an AUC of 0.655 compared to 0.635. For generalizability performance, the DL model outperformed the benchmark model for early surgery. For late surgery, the benchmark model outperformed the DL model.

CONCLUSIONS

For early surgery, the DL model was preferred for classical and generalizability evaluation. However, for late surgery, the benchmark and DL model had comparable performance. Depending on the prediction task, the balance of performance may shift between DL and a conventional ML method. As a result, thorough assessment is needed to quantify the value of DL, a relatively computationally expensive, time-consuming and less interpretable method.

Growing Racial Disparities in the Utilization of Adult Spinal Deformity Surgery: An Analysis of Trends From 2004 to 2014

STUDY DESIGN

Retrospective.

OBJECTIVE

The purpose of this study was to assess trends in utilization rates of adult spinal deformity (ASD) surgery, as well as perioperative surgical metrics between Black and White patients undergoing operative treatment for ASD in the United States.

SUMMARY OF BACKGROUND DATA

Racial disparities in access to care, complications, and surgical selection have been shown to exist in the field of spine surgery. However, there is a paucity of data concerning racial disparities in the management of ASD patients.

METHODS

Adult patients undergoing ASD surgery from 2004 to 2014 were identified in the nationwide inpatient sample (NIS). Utilization rates, major complications rates, and length of stay (LOS) for Black patients and White patients were trended over time. Utilization rates were reported per 1,000,000 people and determined using annual census data among subpopulations stratified by race. All reported complication rates and prolonged hospital stay rates are adjusted for Elixhauser Comorbidity Index, income quartile by zip code, and insurance payer status.

RESULTS

From 2004 to 2014, ASD utilization for Black patients increased from 24.0 to 50.9 per 1,000,000 people, whereas ASD utilization for White patients increased from 29.9 to 73.1 per 1,000,000 people, indicating a significant increase in racial disparities in ASD utilization (P-trend < 0.001). There were no significant differences in complication rates or rates of prolonged hospital stay between Black and White patients across the time period studied (P > 0.05 for both).

CONCLUSION

Although Black and White patients undergoing ASD surgery do not differ significantly in terms of postoperative complications and length of hospital stay, there is a growing disparity in utilization of ASD surgery between White and Black patients from 2004 to 2014 in the United States. There is need for continued focus on identifying ways to reduce racial disparities in surgical selection and perioperative management in spine deformity surgery.Level of Evidence: 3.