What's New in Pediatric Orthopaedic Health Care Disparities?

Assessing the Impact of Neighborhood and Built Environment on Pediatric Perioperative Care: A Systematic Review of the Literature

CONTEXT

Neighborhood and built environment encompass one key area of the Social Determinants of Health (SDOH) and is frequently assessed using area-level indices.

OBJECTIVE

We sought to systematically review the pediatric surgery literature for use of commonly applied area-level indices and to compare their utility for prediction of outcomes.

DATA SOURCES

A literature search was conducted using PubMed, Ovid MEDLINE, Ovid MEDLINE Epub Ahead of Print, PsycInfo, and an artificial intelligence search tool (1/2013-2/2023).

STUDY SELECTION

Inclusion required pediatric surgical patients in the US, surgical intervention performed, and use of an area-level metric.

DATA EXTRACTION

Extraction domains included study, patient, and procedure characteristics.

RESULTS

Area Deprivation Index is the most consistent and commonly accepted index. It is also the most granular, as it uses Census Block Groups. Child Opportunity Index is less granular (Census Tract), but incorporates pediatric-specific predictors of risk. Results with Social Vulnerability Index, Neighborhood Deprivation Index, and Neighborhood Socioeconomic Status were less consistent.

LIMITATIONS

All studies were retrospective and quality varied from good to fair.

CONCLUSIONS

While each index has strengths and limitations, standardization on ideal metric(s) for the pediatric surgical population will help build the inferential power needed to move from understanding the role of SDOH to building meaningful interventions towards equity in care.

TYPE OF STUDY

Systematic Review.

LEVEL OF EVIDENCE

Level III.

Understanding Pediatric Surge in the United States

The concepts of pediatric surge in the United States continue to evolve from a theoretic framework to practical implementation. As disasters become more frequent, ranging from natural to human-caused, children remain a vulnerable population. The coronavirus disease 2019 pandemic and the 2022 to 2023 tripledemic respiratory surge revealed advances and continued challenges in our ability to care for a large influx of pediatric patients. Understanding pediatric surge through the framework of the 4 S's (space, staff, stuff, and systems/structures) can identify gaps at multiple levels.

A Framework for Studying Healthcare Equity in Adolescent Idiopathic Scoliosis: Scoping Review and Meta-Analysis of Existing Literature

INTRODUCTION

Health inequities remain a notable barrier for pediatric patients, especially in conditions such as adolescent idiopathic scoliosis (AIS), where the efficacy of nonsurgical treatment is dependent on early diagnosis and referral to a specialist. Social determinants of health (SDOH) are nonmedical factors that affect health outcomes, such as economic stability, neighborhood environment, and discrimination. Although these factors have been studied throughout the AIS literature, considerable inconsistencies remain across studies regarding the investigation of SDOH for this population. Through a scoping review, we analyze the existing literature to propose a comprehensive framework to consider when designing future prospective and retrospective studies of healthcare equity in AIS.

METHODS

A systematic review was executed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. A meta-analysis was performed for each reported SDOH (race, ethnicity, insurance provider, and socioeconomic status) including only studies with complete and consistent variables and outcomes. Cobb angle measurements were aggregated and summarized as the weighted mean difference with 95% confidence interval using a fixed or random-effects model (substantial heterogeneity identified).

RESULTS

Of 7,539 studies reviewed, nine studies met all the inclusion criteria. As expected, considerable inconsistencies were found across the nine studies making it difficult to aggregate data. Within the meta-analyses, the mean difference between White non-Hispanic and Hispanic patients was statistically significant (1.71; 95% confidence interval 0.78 to 2.65; P < 0.001). No other statistically significant differences were identified among the SDOH and presenting main Cobb angle magnitude.

CONCLUSION

These studies provide insight into healthcare inequities in AIS, although notable inconsistencies make it difficult to aggregate data and draw the conclusions needed to drive necessary public health changes. However, our proposed framework can provide a guideline for future prospective and retrospective studies to standardize data reporting and allow for improved collaboration, study design, and future systematic reviews and meta-analyses.

Impact of Insurance Type on Access to Pediatric Surgical Care

Background

This study aimed to measure the impact of insurance type on access to pediatric surgical care, clinical and surgical scheduling decisions, provider-driven cancelations, and missed care opportunities (MCOs). We hypothesize that patients with public health insurance experience longer scheduling delays and more frequently canceled surgical appointments compared with patients with private health insurance.

Methods

This retrospective study reviewed the demographics and clinical characteristics of patients who underwent a surgical procedure within the plastic and oral surgery department at our institution in 2019. Propensity score matching and linear regressions were used to estimate the effect of insurance type on hospital scheduling and patient access outcomes while controlling for procedure type and sex.

Results

A total of 457 patients were included in the demographic and clinical characteristics analyses; 354 were included in propensity score matching analyses. No significant differences in the number of days between scheduling and occurrence of initial consultation or number of clinic cancelations were observed between insurance groups (P > 0.05). However, patients with public insurance had a 7.4 times higher hospital MCO rate (95% CI [5.2-9.7]; P < 0.001) and 4.7 times the number of clinic MCOs (P = 0.007).

Conclusions

No significant differences were found between insurance groups in timely access to surgical treatment or cancelations. Patients with public insurance had more MCOs than patients with private insurance. Future research should investigate how to remove barriers that impact access to care for marginalized patients.

Social deprivation index affects time to MRI after knee injury in pediatric patients and is predicted by patient demographics

OBJECTIVES

This study aims to characterize the association between the timing of MRI ordering and completion for pediatric knee injuries and Social Deprivation Index (SDI), which is a comprehensive, validated, county-level, measure of socioeconomic variation in health outcomes based upon combining geography, income, education, employment, housing, household characteristics, and access to transportation.

METHODS

A retrospective chart review was completed of patients 21 years old and younger from our institution with a history of knee sports injury (ligamentous/soft tissue injury, structural abnormality, instability, inflammation) evaluated with MRI between 5/26/2017 and 12/28/2020. Patients were from three states and attended to by physicians associated with an urban academic institution. Patients were assigned SDI scores based on their ZIP code. Excluded from the study were patients with a non-knee related diagnosis (hip, foot, or ankle), patients from ZIP codes with unknown SDI, and non-sports medicine diagnoses (tumor, infection, fracture).

RESULTS

In a multivariate regression analysis of 355 patients, increased SDI was independently associated with increased time from clinic visit to MRI order (p = 0.044) and from clinic visit to MRI completion (p = 0.047). Each 10-point increase in SDI (0-100) was associated with a delay of 7.2 days on average. SDI itself was found to be associated with a patient's race (p < 0.001), ethnicity (p < 0.001), and insurance category (p < 0.001).

CONCLUSION

Increased SDI is independently associated with longer time from clinic visit to knee MRI order and longer time from clinic visit to knee MRI completion in our pediatric population. Recognizing potential barriers to orthopedic care can help create the change necessary to provide the best possible care for all individual patients.

Socioeconomic status is associated with greater hazard of post-discharge mortality than race, gender, and ballistic injury mechanism in a young, healthy, orthopedic trauma population

OBJECTIVES

To explore the utility of legacy demographic factors and ballistic injury mechanism relative to popular markers of socioeconomic status as prognostic indicators of 10-year mortality following hospital discharge in a young, healthy patient population with isolated orthopedic trauma injuries.

METHODS

A retrospective cohort study was performed to evaluate patients treated at an urban Level I trauma center from January 1, 2003, through December 31, 2016. Current Procedure Terminology (CPT) codes were used to identify upper and lower extremity fracture patients undergoing operative fixation. Exclusion criteria were selected to yield a patient population of isolated extremity trauma in young, otherwise healthy individuals between the ages of 18 and 65 years. Variables collected included injury mechanism, age, race, gender, behavior risk factors, Area Deprivation Index (ADI), and insurance status. The primary outcome was post-discharge mortality, occurring at any point during the study period.

RESULTS

We identified 2539 patients with operatively treated isolated extremity fractures. The lowest two quartiles of socioeconomic status (SES) were associated with higher hazard of mortality than the highest SES quartile in multivariable analysis (Quartile 3 HR: 2.2, 95% CI: 1.2-4.1, p = 0.01; Quartile 4 HR: 2.2, 95% CI: 1.1-4.3, p = 0.02). Not having private insurance was associated with higher mortality hazard in multivariable analysis (HR 2.0, 95% CI: 1.3-3.2, p = 0.002). The presence of any behavioral risk factor was associated with higher mortality hazard in univariable analysis (HR: 1.8, p < 0.05), but this difference did not reach statistical significance in multivariable analysis (HR: 1.4, 95%: 0.8-2.3, p = 0.20). Injury mechanism (ballistic versus blunt), gender, and race were not associated with increased hazard of mortality (p > 0.20).

CONCLUSION

Low SES is associated with a greater hazard of long-term mortality than ballistic injury mechanism, race, gender, and medically diagnosable behavioral risk factors in a young, healthy orthopedic trauma population with isolated extremity injury.

Socioeconomic, Racial, and Insurance Disparities in Clinical Outcomes After Surgery Among Patients With Idiopathic Scoliosis

BACKGROUND

Socioeconomic status (SES), race, and insurance type correlate with initial curve severity for patients with idiopathic scoliosis, but less is known regarding how these variables impact surgical outcomes. The objectives of this study were to determine the influence of SES, race, and insurance on preoperative appointment attendance, likelihood of obtaining a preoperative second opinion, brace prescription, missed 6 or 12-month postsurgical appointments, incidence of emergency department visits 0 to 90 days after surgery, and major complications within a year of surgery.

METHODS

A review of 421 patients diagnosed with idiopathic scoliosis who underwent surgery at a single high-volume pediatric spinal deformity institution between May 2015 and October 2021 was conducted. Area Deprivation Index, a quantitative measure of SES, was collected. Scores were stratified by quartile; higher scores indicated a lower SES. χ 2 tests for correlation were performed to determine whether clinical outcomes were dependent upon Area Deprivation Index, race, or insurance type; P ≤0.05 was significant.

RESULTS

The sample was 313 Caucasian (74%), 69 (16%) black, and 39 (9.3%) other patients. More patients had private versus public insurance (80% vs 20%) and were of higher SES. The likelihood of missing preoperative appointments was higher for black patients ( P = 0.037). Those with lower SES missed more postoperative appointments and received less bracing and second opinions ( P = 0.038, P = 0.017, P = 0.008, respectively). Being black and publicly insured correlated with fewer brace prescriptions ( P < 0.001, P = 0.050) and decreased rates of obtaining second opinions ( P = 0.004,  P = 0.001).

CONCLUSION

Patients with idiopathic scoliosis surgery who were Caucasian, privately insured, and of higher SES were more likely to seek preoperative second opinions, be prescribed a brace, and attend postoperative appointments. Recognition of the inherent health care disparities prevalent within each pediatric spine surgery referral region is imperative to better inform local and national institutional level programs to educate and assist patients and families most at risk for disparate access to scoliosis care.

LEVEL OF EVIDENCE

Level III; retrospective case-control study.

Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy

When children are discharged from the hospital after surgery, their caregivers often rely on subjective assessments (e.g., appetite, fatigue) to monitor postoperative recovery as objective assessment tools are scarce at home. Such imprecise and one-dimensional evaluations can result in unwarranted emergency department visits or delayed care. To address this gap in postoperative monitoring, we evaluated the ability of a consumer-grade wearable device, Fitbit, which records multimodal data about daily physical activity, heart rate, and sleep, in detecting abnormal recovery early in children recovering after appendectomy. One hundred and sixty-two children, ages 3-17 years old, who underwent an appendectomy (86 complicated and 76 simple cases of appendicitis) wore a Fitbit device on their wrist for 21 days postoperatively. Abnormal recovery events (i.e., abnormal symptoms or confirmed postoperative complications) that arose during this period were gathered from medical records and patient reports. Fitbit-derived measures, as well as demographic and clinical characteristics, were used to train machine learning models to retrospectively detect abnormal recovery in the two days leading up to the event for patients with complicated and simple appendicitis. A balanced random forest classifier accurately detected 83% of these abnormal recovery days in complicated appendicitis and 70% of abnormal recovery days in simple appendicitis prior to the true report of a symptom/complication. These results support the development of machine learning algorithms to predict onset of abnormal symptoms and complications in children undergoing surgery, and the use of consumer wearables as monitoring tools for early detection of postoperative events.

Health Inequities in Pediatric Trauma

This review article highlights the disparities evident in pediatric trauma care in the United States. Social determinants of health play a significant role in key aspects of trauma care including access to care, gun violence, child abuse, head trauma, burn injuries, and orthopedic trauma. We review the recent literature as it relates to these topics. The findings from these recent studies emphasize the important principle that trauma care for children should be designed with a focus on equity for all children.