BACKGROUND: Reduction mammaplasty improves the quality of life by providing functional and aesthetic benefits to women with macromastia. This study contributes to the existing literature on socioeconomic and clinical barriers to referral for plastic surgery procedures by focusing specifically on reduction mammaplasty.
METHODS: Patients with macromastia were identified via a chart review in a single institution from 2021-2022. The treatment pathway for each patient was characterized by reception of referral, completion of plastic surgery consultation, and eventual reception of surgery. After controlling for clinical covariates, multivariate logistic regression was applied to quantify the independent impact of race, insurance, and language status on the completion of surgery (p < 0.05).
RESULTS: The final patient cohort included 425 women with macromastia. Among the 151 patients who were first seen by a primary care physician, 64 (42%) completed an initial plastic surgery consultation. Among all patients, 160 (38%) eventually underwent reduction mammaplasty. Multivariate regression predictions indicated a lower likelihood of completing breast reduction surgery in patients with current smoking history (OR: 0.08, 95% CI: 0.01-0.59) and higher body mass index (BMI) (OR: 0.94, 95% CI: 0.90-0.97) (p < 0.05). Minority race and ethnicity, private insurance status, and primary language status were not significant predictors of this outcome (p > 0.05).
CONCLUSIONS: In this study, the socioeconomic variables were not independent predictors of breast reduction surgery completion. However, the association of minority race and ethnicity and nonprivate insurance status with the most common reasons for breast reduction deferral suggest an indirect influence of socioeconomic status on the treatment pathway.

BACKGROUND: Dizziness/vertigo is one of the most common symptoms for which people seek healthcare. However, the healthcare expenditure attributable to dizziness/vertigo in South Korea remains poorly understood. We investigated the healthcare costs due to six major disorders causing dizziness/vertigo using claims data.
METHODS: The healthcare costs were evaluated using all the claims data submitted to the Health Insurance Review and Assessment Service from January 1 to December 31, 2022. The six major vestibular disorders included for analysis were benign paroxysmal positional vertigo (BPPV), psychogenic/persistent postural perceptual dizziness (PPPD), vascular vertigo/dizziness (VVD), vestibular migraine (VM), Meniere\'s disease (MD), and vestibular neuritis (VN).
RESULTS: During the 1-year study period, 4.1% of adults aged 20 or older visited hospitals due to dizziness/vertigo in South Korea. Compared to the general population, the patients with dizziness/vertigo were more often elderly, female, and residents of small towns. The total healthcare cost for the six major vestibular disorders was ₩547.8 billion (approximately $406.5 million). BPPV incurred the highest annual healthcare cost (₩183.5 billion, 33.5%), followed by VVD (₩158.8 billion, 29.0%), MD (₩82.2 billion, 15.0%), psychogenic/PPPD (₩60.3 billion, 11.0%), VN (₩32.9 billion, 6.0%), and VM (₩30.1 billion, 5.5%). The mean healthcare cost per hospital visit due to dizziness/vertigo was ₩96,524 (95% confidence interval, ₩96,194-₩96,855), 30% higher than the average (₩73,948) of the overall healthcare cost per hospital visit over the same period.
CONCLUSIONS: Owing to higher healthcare costs for dizziness/vertigo and increased prevalence of dizziness/vertigo in the aged population, healthcare costs due to dizziness/vertigo will increase rapidly in South Korea. Thus, a guideline for cost-effective management of dizziness/vertigo should be established to reduce the healthcare costs due to these common symptoms.

OBJECTIVE: To systematically review Medicaid policies state-by-state for gender-affirming surgery coverage.
METHODS: Primary data were collected for each US state utilizing the LexisNexis legal database, state legislature publications, and Medicaid manuals.
METHODS: A cross-sectional study evaluating Medicaid coverage for numerous gender-affirming surgeries.
METHODS: We previously reported on state health policies that protect gender-affirming care under Medicaid coverage. Building upon our prior work, we systematically assessed the 27 states with protective policies to determine coverage for each type of gender-affirming surgery. We analyzed Medicaid coverage for gender-affirming surgeries in four domains: chest, genital, craniofacial and neck reconstruction, and miscellaneous procedures. Medicaid coverage for each type of surgery was categorized as explicitly covered, explicitly noncovered, or not described.
RESULTS: Among the 27 states with protective Medicaid policies, 17 states (63.0%) provided explicit coverage for at least one gender-affirming chest procedure and at least one gender-affirming genital procedure, while only eight states (29.6%) provided explicit coverage for at least one craniofacial and neck procedure (p = 0.04). Coverage for specific surgical procedures within these three anatomical domains varied. The most common explicitly covered procedures were breast reduction/mastectomy and hysterectomy (n = 17, 63.0%). The most common explicitly noncovered surgery was reversal surgery (n = 12, 44.4%). Several states did not describe the specific surgical procedures covered; thus, final coverage rates are indeterminate.
CONCLUSIONS: In 2022, 52.9% of states had health policies that protected gender-affirming care under Medicaid; however, coverage for various gender-affirming surgical procedures remains both variable and occasionally unspecified. When specified, craniofacial and neck reconstruction is the least covered anatomical area compared with chest and genital reconstruction.

OBJECTIVE: To compare calcitonin gene-related peptide monoclonal antibodies (CGRP mAbs) versus nonspecific oral migraine preventives (NOEPs).
BACKGROUND: Insurers mandate step therapy with NOEPs before approving CGRP mAbs.
METHODS: Databases were searched for class I or II randomized controlled trials (RCTs) comparing CGRP mAbs or NOEPs versus placebo for migraine prevention in adults. The primary outcome measure was monthly migraine days (MMD) or moderate to severe headache days.
RESULTS: Twelve RCTs for CGRP mAbs, 5 RCTs for topiramate, and 3 RCTs for divalproex were included in the meta-analysis. There was high certainty that CGRP mAbs are more effective than placebo, with weighted mean difference (WMD; 95% confidence interval) of -1.64 (-1.99 to -1.28) MMD, which is compatible with small effect size (Cohen\'s d -0.25 [-0.34 to -0.16]). Certainty of evidence that topiramate or divalproex is more effective than placebo was very low and low, respectively (WMD -1.45 [-1.52 to -1.38] and -1.65 [-2.30 to -1.00], respectively; Cohen\'s d -1.25 [-2.47 to -0.03] and -0.48 [-0.67 to -0.29], respectively). Trial sequential analysis showed that information size was adequate and that CGRP mAbs had clear benefit versus placebo. Network meta-analysis showed no statistically significant difference between CGRP mAbs and topiramate (WMD -0.19 [-0.56 to 0.17]) or divalproex (0.01 [-0.73 to 0.75]). No significant difference was seen between topiramate or divalproex (0.21 [-0.45 to 0.86]).
CONCLUSIONS: There is high certainty that CGRP mAbs are more effective than placebo, but the effect size is small. When feasible, CGRP mAbs may be prescribed as first-line preventives; topiramate or divalproex could be as effective but are less well tolerated. The findings of this study support the recently published 2024 position of the American Headache Society on the use of CGRP mAbs as the first-line treatment.

UNASSIGNED: Increasing evidence demonstrates disparities among patients with differing insurance statuses in the field of spine surgery. However, no pooled analyses have performed a robust review characterizing differences in postoperative outcomes among patients with varying insurance types.
UNASSIGNED: A comprehensive literature search of the PUBMED, MEDLINE(R), ERIC, and EMBASE was performed for studies comparing postoperative outcomes in patients with private insurance versus government insurance. Pooled incidence rates and odds ratios were calculated for each outcome and meta-analyses were conducted for 3 perioperative events and 2 types of complications. In addition to pooled analysis, sub-analyses were performed for each outcome in specific government payer statuses.
UNASSIGNED: Thirty-eight studies (5,018,165 total patients) were included. Compared with patients with private insurance, patients with government insurance experienced greater risk of 90-day re-admission (OR 1.84, p<.0001), non-routine discharge (OR 4.40, p<.0001), extended LOS (OR 1.82, p<.0001), any postoperative complication (OR 1.61, p<.0001), and any medical complication (OR 1.93, p<.0001). These differences persisted across outcomes in sub-analyses comparing Medicare or Medicaid to private insurance. Similarly, across all examined outcomes, Medicare patients had a higher risk of experiencing an adverse event compared with non-Medicare patients. Compared with Medicaid patients, Medicare patients were only more likely to experience non-routine discharge (OR 2.68, p=.0007).
UNASSIGNED: Patients with government insurance experience greater likelihood of morbidity across several perioperative outcomes. Additionally, Medicare patients fare worse than non-Medicare patients across outcomes, potentially due to age-based discrimination. Based on these results, it is clear that directed measures should be taken to ensure that underinsured patients receive equal access to resources and quality care.

BACKGROUND: Concussion evaluations include a multifaceted approach; however, individual differences can influence test score interpretations and validity. Social determinants of health (SDoH) differentially affect disease risk and outcomes based upon social and environmental characteristics. Efforts to better define, diagnose, manage, and treat concussion have increased, but minimal efforts have focused on examining SDoH that may affect concussion recovery.
OBJECTIVE: This review examined previous research that examined the effect of SDoH on concussion recovery of athletes.
METHODS: CINAHL, MEDLINE, PsycInfo, and SPORTDiscus databases were used to search the terms \"concussion\" AND \"recovery,\" \"youth, adolescent, teen and/or adult,\" and \"social determinants of health\" and variations of these terms. The evidence level for each study was evaluated using the 2011 Oxford Center for Evidence-Based Medicine Guide.
RESULTS: Seven thousand nine hundred and twenty-one articles were identified and screened for inclusion. Five studies met the inclusion criteria and were included in this systematic review. Using the Downs and Black Quality Index, the studies included in this review were deemed high quality.
CONCLUSIONS: Though limited literature exists, there is preliminary evidence to suggest that SDoH (specifically, economic stability, education access and quality, and social and community context) may have an impact on the clinical recovery from concussion. The dimensions evaluated varied between studies and the results were inconsistent. No single factor consistently affected clinical recovery; however, private insurance and race appear to have an association with the speed of recovery. Unfortunately, the potential intersection of these variables and other preinjury factors limits the ability to make clear recommendations. While most of the studies in this review are retrospective in nature, future efforts should focus on training clinicians to prospectively evaluate the effect of SDoH on concussion recovery and injury outcomes. Funding and registration for this systematic review were not obtained nor required.

BACKGROUND: Road traffic deaths are increasing globally, and preventable driving behaviours are a significant cause of these deaths. In-vehicle telematics has been seen as technology that can improve driving behaviour. The technology has been adopted by many insurance companies to track the behaviours of their consumers. This systematic review presents a summary of the ways that in-vehicle telematics has been modelled and analysed.
METHODS: Electronic searches were conducted on Scopus and Web of Science. Studies were only included if they had a sample size of 10 or more participants, collected their data over at least multiple days, and were published during or after 2010. 45 relevant papers were included in the review. 27 of these articles received a rating of \"good\" in the quality assessment.
RESULTS: We found a divide in the literature regarding the use of in-vehicle telematics. Some articles were interested in the utility of in-vehicle telematics for insurance purposes, while others were interested in determining the influence that in-vehicle telematics has on driving behaviour. Machine learning analyses were the most common forms of analysis seen throughout the review, being especially common in articles with insurance-based outcomes. Acceleration, braking, and speed were the most common variables identified in the review.
CONCLUSIONS: We recommend that future studies provide the demographical information of their sample so that the influence of in-vehicle telematics on the driving behaviours of different groups can be understood. It is also recommended that future studies use multi-level models to account for the hierarchical structure of the telematics data. This hierarchical structure refers to the individual trips for each driver.

This commentary article highlights the need for an insurance product for hospital-employed physicians that provides coverage against sham peer review and a complete defense against wrongful hospital allegations of incompetent, whistleblowing, or disruptive behavior.

This systematic review aimed to investigate what are the most relevant social determinants of health (SDH), how they are measured, how they interact among themselves and what is their impact on the outcomes of cervical cancer patients.
Search was performed in PubMed, Scopus, Web of Science, Embase, Cochrane, and Google Scholar databases from January 2001 to September 2022. The protocol was registered at PROSPERO (CRD42022346854). We followed the PICOS strategy: Population- Patients treated for cervical cancer in the United States; Intervention - Any SDH; Comparison- None; Outcome measures- Cancer treatment outcomes related to the survival of the patients; Types of studies- Observational studies. Two reviewers extracted the data following the PRISMA guidelines. Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies was used for risk of bias (ROB) assessment.
Twenty-four studies were included (22 had low and 2 had moderate ROB). Most manuscripts analyzed data from public registries (83.3%) and only one SDH (54.17%). The SDH category of Neighborhood was not included in any study. Although the SDH were measured differently across the studies, not being married, receiving treatment at a low-volume hospital, and having public insurance (Medicaid or Medicare) or not being insured was associated with shorter survival of cervical cancer patients in most studies.
There is a deficit in the number of studies comprehensively assessing the impact of SDH on cervical cancer treatment-related outcomes. Marital status, hospital volume and health insurance status are potential predictors of worse outcome.

Telematics technology and its implementation in auto insurance have received great interest due to their potential to transform the insurance sector and promote safer driving practices. By implementing telematics technology, insurers may tailor insurance premiums to individual drivers, taking into account their real driving habits and performance, ultimately leading to improved road safety, cost savings, and an empowered driving community. The current study, through bibliometric analysis, carefully identifies and evaluates the existing body of scholarly literature on this subject for the last 21 years, including journal articles, conference papers, and related publications. The analysis uncovers key research studies, influential authors, top publication outlets, top countries with collaborations, and prolific research fields, providing useful insights into the evolution and growth of telematics-based insurance research. Furthermore, thematic mapping, cluster analysis, and critical analysis of top recent studies aided in identifying key research clusters and themes, as well as potential gaps and areas for further exploration, guiding future researchers and policymakers in advancing this transformative technology.