A Framework for Studying Healthcare Equity in Adolescent Idiopathic Scoliosis: Scoping Review and Meta-Analysis of Existing Literature.
Systematic Review
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./r/nA 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)./r/nOf 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./r/nThese 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.
