Recurrent Shoulder Instability: Do Morbidity and Treatment Differ Based on Insurance?

Prevalence and predictors of bone mineral density testing after distal radius fracture in menopausal women

BACKGROUND

Osteoporosis screening guidelines recommend bone mineral density (BMD) testing following fragility fractures. Nevertheless, previous studies have demonstrated low rates of osteoporosis screening. Diagnosis and treatment of osteoporosis is essential for prevention of future fractures, however not much is known about the factors associated with receiving BMD testing in this patient population. The purpose of this study was to evaluate the prevalence, timing, and predictors of BMD testing following distal radius fractures (DRF) in menopausal women.

METHODS

We queried a national insurance database to identify menopausal women aged 45-64 years with a DRF between years 2013 and 2020. The rate of BMD testing within 1 year of injury was calculated. Multivariable logistic regression analysis was used to evaluate the effect of patient- and injury-related variables on the likelihood of undergoing BMD testing following DRF.

RESULTS

Among 31,728 patients meeting inclusion criteria (mean ± SD age: 57.5 ± 4.3), 3,886 (12.2 %) received a BMD test within 1 year following DRF. The rate of BMD tests decreased with the highest rate of 14.5 % in 2015 and the lowest rate of 10.5 % in 2020. Mean time from DRF to BMD testing was 143 ± 102 days. Patients aged 60-64 had the highest adjusted odds of receiving BMD testing (OR 2.85 [95 % CI: 2.26 to 3.64]). Factors associated with increased likelihood of BMD testing included surgical intervention (OR 1.38 [1.28-1.48]), rheumatoid arthritis (OR 1.22 [1.06-1.40]), osteoarthritis (OR 1.28 [1.19-1.37]), breast cancer (OR 1.35 [1.16-1.56]), and vitamin D deficiency (OR 1.29 [1.17-1.43]). Factors associated with decreased likelihood of testing included tobacco use (OR 0.90 [0.84-0.97]), patients with Medicaid (OR 0.73 [0.61-0.86]) or Medicare (OR 0.76 [0.65-0.88]) insurance, and living in Southern (OR 0.67 [0.62-0.73]) or Western (OR 0.69 [0.62-0.77]) regions of the United States. Obesity, diabetes, renal disease, and early menopause were not associated with BMD testing.

CONCLUSIONS

Despite guidelines recommending BMD testing after low-energy fractures, rates of BMD testing were low and decreased among menopausal women with DRF. Mean time to BMD testing was 4.7 months, indicating substantial delays in workup. Known risk factors for osteoporosis did not reliably predict likelihood of BMD testing.

LEVEL OF EVIDENCE

Level III, prognostic.

Reuse of Orthopaedic Equipment: Barriers and Opportunities

» Reuse of orthopaedic equipment is one of many potential ways to minimize the negative impact of used equipment on the environment, rising healthcare costs and disparities in access to surgical care.» Barriers to widespread adoption of reuse include concerns for patient safety, exposure to unknown liability risks, negative public perceptions, and logistical barriers such as limited availability of infrastructure and quality control metrics.» Some low- and middle-income countries have existing models of equipment reuse that can be adapted through reverse innovation to high-income countries such as the United States.» Further research should be conducted to examine the safety and efficacy of reusing various orthopaedic equipment, so that standardized guidelines for reuse can be established.

Public Insurance Is Associated With Decreased Rates of Surgical Management for Glenohumeral Instability: An Analysis of the Rhode Island All-Payers Claims Database

Background

Socioeconomic status has been shown to influence patients' ability to access health care.

Purpose

To evaluate the socioeconomic status and/or insurance provider of patients and to determine whether these differences influence the management of shoulder instability.

Study Design

Descriptive epidemiology study.

Methods

The Rhode Island All-Payers Claims Database (APCD) was used to identify all patients between the ages of 5 and 64 years who made an insurance claim related to a shoulder instability event between January 1, 2011, and December 31, 2019. Chi-square analysis and multivariate logistic regression were utilized to determine whether insurance status, social deprivation index (SDI), or median income by zip code were significant predictors of treatment methodology and recurrent instability. Kaplan-Meier failure analysis and Cox regression were used to assess for variation in the cumulative rates of surgical intervention and recurrent instability over 20-year age groups (5-24, 25-44, and 45-64 years).

Results

There were 3310 patients from the APCD query included in the analysis. Bivariate analysis demonstrated significant variation in the rates of surgical stabilization between patients with public and commercial insurance providers (P < .001). Patients with public insurance received surgery 1.8% of the time compared with 5.8% of the time in patients with commercial insurance. After controlling for recurrent instability, age, instability type (subluxation or dislocation) and directionality, and sex, patients with public insurance were 79% less likely to receive surgery within 30 days (P = .035) and 64% less likely to receive surgery within 1 year (P = .002). This disparity was most notable in the 5- to 24-year (hazard ratio [HR] = 0.28; 95% CI, 0.13-0.61) and 25- to 44-year (HR = 0.26; 95% CI, 0.08-0.89) age groups. Neither SDI quartile nor income quartile based on patient primary zip code had a clinically significant influence on rates of surgery or recurrent instability.

Conclusion

These data demonstrate that patients with public insurance have a decreased likelihood of undergoing surgical stabilization to address glenohumeral instability compared with patients with commercial insurance.

Medicaid insurance is associated with treatment disparities for proximal humerus fractures in a national database analysis

BACKGROUND

Proximal humerus fractures (PHFs) are the third most common type of fragility fracture in the elderly and are increasing in incidence. Disparities in treatment type, time to surgery (TTS), and complications based upon insurance type have been identified for other orthopedic conditions. Given the incidence and burden of PHFs, we sought to evaluate if insurance type was associated with treatment received, TTS, and complications in the treatment of PHFs.

METHODS

We used PearlDiver, a national administrative claims database that consists of 122 million patient records. Patients diagnosed with an isolated PHF between 2010 and 2019 were identified by International Classification of Diseases, Ninth and Tenth Revision diagnostic codes and stratified by insurance type (Medicaid, private, or Medicare). Outcomes evaluated were rate of surgery within 3 months of diagnosis with open reduction and internal fixation, hemiarthroplasty, or reverse shoulder arthroplasty; average TTS; 90-day readmissions and medical postoperative complications (deep vein thrombosis, urinary tract infection, pneumonia, sepsis, acute respiratory failure, cerebrovascular event, and acute renal failure); and 1-year surgical postoperative complications (stiffness, noninfectious wound complications, dislocation, and infection). Multivariable logistic regressions adjusting for age, sex, and Elixhauser comorbidity index were utilized to determine the association between insurance type and surgery rate/complications.

RESULTS

We included 245,396 patients for analysis. Fourteen percent of Medicaid patients (1789/12,498) underwent surgery compared to 17% (25,347/149,830) of privately insured patients and 16% (13,305/83,068) of Medicare patients (pairwise, P < .001). TTS (Medicaid: 11.7 days, private: 10.6 days [P < .001]; Medicare: 10.7 days [P = .003]) varied by insurance type. Private or Medicare-insured patients were less likely to be readmitted (adjusted odds ratio: 0.77 [95% confidence interval (CI): 0.63-0.93] for private vs. Medicaid and 0.71 [95% CI: 0.59-0.88] for Medicare vs. Medicaid) and experienced fewer 90-day postoperative complications (adjusted odds ratio: 0.73 [95% CI: 0.62-0.85] for private vs. Medicaid, 0.65 [95% CI: 0.55-0.77] for Medicare vs. Medicaid), such as acute renal failure. TTS was also associated with differing rates of readmissions and complications.

CONCLUSION

There are differences in rates of surgery, TTS, and complications after PHFs based on insurance type, representing opportunities for quality improvement initiatives. Potential methods to address these disparities include implementing standardized PHF protocols and/or reimbursement models and quality metrics that reward equitable treatment. Further research and policy adaptations should be incorporated to decrease barriers that patients face and minimize health care inequities seen in the treatment of PHFs based on insurance type.

Social Determinants of Health Disparities are Associated with Increased Costs, Revisions, and Infection in Patients Undergoing Arthroscopic Rotator Cuff Repair

PURPOSE

The purpose of this study was to use a national claims database to assess the impact of pre-existing social determinants of health disparities (SDHD) on postoperative outcomes following rotator cuff repair (RCR).

METHODS

A retrospective review of the Mariner Claims Database was used to capture patients undergoing primary RCR with at least 1 year of follow-up. These patients were divided into two cohorts based on the presence of a current or previous history of SDHD, encompassing educational, environmental, social, or economic disparities. Records were queried for 90-day postoperative complications, consisting of minor and major medical complications, emergency department (ED) visits, readmission, stiffness, and 1-year ipsilateral revision surgery. Multivariate logistic regression was employed to assess the impact of SDHD on the assessed postoperative outcomes following RCR.

RESULTS

58,748 patients undergoing primary RCR with a SDHD diagnosis and 58,748 patients in the matched control group were included. A previous diagnosis of SDHD was associated with an increased risk of ED visits (OR 1.22, 95% CI 1.18-1.27; P < .001), postoperative stiffness (OR 2.53, 95% CI 2.42-2.64; P < .001), and revision surgery (OR 2.35, 95% CI 2.13-2.59; P < .001) compared to the matched control group. Subgroup analysis revealed educational disparities had the greatest risk for 1-year revision (OR 3.13, 95% CI 2.53-4.05; P < .001).

CONCLUSIONS

The presence of a SDHD was associated with an increased risk of revision surgery, postoperative stiffness, emergency room visits, medical complications, and surgical costs following arthroscopic RCR. Overall, economic and educational SDHD were associated with the greatest risk of 1-year revision surgery.

LEVEL OF EVIDENCE

III, retrospective cohort study.

Association of Insurance Status With Treatment Delays for Pediatric and Adolescent Patients Undergoing Surgery for Patellar Instability

Background:

Health care disparities have been highlighted in pediatric sports medicine, but the association between insurance status and delayed care for patients undergoing surgery for patellar instability has not been defined.

Purpose:

To determine whether there is an association between insurance status and delays in care in pediatric and adolescent patients undergoing surgery for patellar instability.

Study Design:

Cohort study; Level of evidence, 3.

Methods:

This was a retrospective case series at a safety-net tertiary referral center of pediatric and adolescent patients undergoing surgical treatment for patellar instability. Insurance status was classified as public or private. We calculated the times from injury to clinical evaluation, injury to magnetic resonance imaging (MRI), injury to surgery, clinical evaluation to MRI, and clinical evaluation to surgery. Comparisons were made between insurance groups.

Results:

Included were 78 patients (38 public, 40 private insurance) who underwent surgery for patellar instability. The public insurance group was older (P = .019), with a lower proportion of White patients (15.8% vs 52.5%; P = .0005), higher proportion with Hispanic ethnicity (55.3% vs 15.0%; P = .0001), and higher proportion of Spanish-speaking patients (21.1% vs 2.5%; P = .007). Publicly insured patients had longer times from initial injury to clinical evaluation (466 vs 77 days; P = .002), MRI (466 vs 82 days; P = .003), and surgery (695 vs 153 days; P = .0003), as well as a longer time from clinical evaluation to surgery (226 vs 73 days; P = .002). Multivariable models confirmed insurance status as an independent predictor in each of the identified delays.

Conclusion:

Significant delays were seen for pediatric and adolescent patients with patellar instability and public insurance (approximately 6 times longer to clinical evaluation, more than 5.5 times longer to obtain MRI, and 4.5 times longer to surgery) relative to injured patients with private insurance. Even after adjusting for delays to clinical evaluation, publicly insured patients had a delay from clinic to surgery that was triple that of privately insured patients.

Socioeconomic Status Impacts Access to Orthopaedic Specialty Care

»

Financial, personal, and structural barriers affect access to all aspects of orthopaedic specialty care.

»

Disparities in access to care are present across all subspecialties of orthopaedic surgery in the United States.

»

Improving timely access to care in orthopaedic surgery is crucial for both health equity and optimizing patient outcomes.

»

Options for improving orthopaedic access include increasing Medicaid/Medicare payments to physicians, providing secondary resources to assist patients with limited finances, and reducing language barriers in both clinical care and patient education.

Effect of Institution and COVID-19 on Access to Adult Arthroplasty Surgery

Background

Although insurance status is important to patients’ ability to access care, it varies significantly by race, age, and socioeconomic status. Novel coronavirus disease 2019 (COVID-19) negatively impacted access to care, while simultaneously widening pre-existing health-care disparities. The purpose of the present study was to document this phenomena within orthopedics.

Methods

Patients undergoing hip or knee arthroplasty at two medical centers in San Francisco, California, were evaluated. One cohort came from the University of California San Francisco (UCSF), a tertiary center, and the other from Zuckerberg San Francisco General Hospital (ZSFGH), a safety-net hospital. Patients who underwent arthroplasty before the pandemic (March 2020) and those after pandemic declaration were evaluated. Patient demographics, surgical wait times, and operative volumes were compared.

Results

Two-hundred sixty-nine (pre-COVID, 184; post-COVID, 85) cases at UCSF and 63 (pre-COVID, 47; post-COVID, 16) cases at ZSFGH met inclusion criteria. Patients at ZSFGH had a significantly higher body mass index, were more often racial minorities, and were less likely to speak English. Patients at ZSFGH were less likely to have private insurance. A comparison of case volumes showed a larger decrease at ZSFGH than at UCSF after COVID. Wait times between the two sites before and after COVID showed a larger increase in wait times at ZSFGH. Notably, wait times at ZSFGH before COVID were more than double the wait times at UCSF after COVID.

Conclusions

COVID-19 worsened access to primary hip and knee arthroplasties at two academic medical centers in San Francisco. The pandemic also worsened pre-existing disparities. Racial minorities, non-English speakers, and those with nonprivate insurance were affected the most.

Socioeconomic and Demographic Disparities in Early Surgical Stabilization Following Emergency Department Presentation for Shoulder Instability

Purpose

To describe which patients are the most likely to undergo surgical management within the same calendar year as their emergency department visit for anterior shoulder instability.

Methods

The State Emergency Department Databases and State Ambulatory Surgery and Services Databases from Florida were used. All patients presenting to the emergency department for anterior shoulder subluxation or dislocation between January 1 and September 30, 2017, were selected. Bivariate analysis was performed for associations with demographic variables. A binary logistic regression was performed with all significant factors to assess which were predictors of undergoing surgery the same calendar year.

Results

While controlling for all significant factors, we found that patients with recurrent dislocations were 3.14 times more likely to have surgery within the same year (P = .037). Patients younger than 40 years were also 2.04 times more likely to have surgery than those aged 40 years or older (P < .001). White patients were 2.47 times more likely to have surgery than black patients (P < .001). On bivariate analysis, there was an association between greater income quartile and higher odds of undergoing surgery within 30 days.

Conclusions

Following an emergency department visit for acute shoulder instability, the following variables were associated with undergoing surgical stabilization within the same calendar year: previous dislocation, age younger than 40, and white race. Patients living in the greatest income quartile of patients had a significantly greater percentage of patients having surgery within 30 days. This demonstrates that disparities and barriers to care may exist for patients with shoulder instability.

Level of Evidence

Level III, Retrospective Comparative Study.