The purpose of this study was to identify racial and socioeconomic disparities in craniosynostosis evaluation and treatment, from referral to surgery. Patients diagnosed with craniosynostosis between 2012 and 2020 at a single center were identified. Chart review was used to collect demographic variables, age at referral to craniofacial care, age at diagnosis, age at surgery, and surgical technique (open versus limited incision). Multivariable linear and logistic regression models with lasso regularization assessed the independent effect of each variable. A total of 298 patients were included. Medicaid insurance was independently associated with a delay in referral of 83 days [95% confidence interval (CI) 4-161, P=0.04]. After referral, patients were diagnosed a median of 21 days later (interquartile range 7-40), though this was significantly prolonged in patients who were not White (β 23 d, 95% CI 9-38, P=0.002), had coronal synostosis (β 24 d, 95% CI 2-46, P=0.03), and had multiple suture synostosis (β 47 d, 95% CI 27-67, P<0.001). Medicaid insurance was also independently associated with diagnosis over 3 months of age (risk ratio 1.3, 95% CI 1.1-1.4, P=0.002) and undergoing surgery over 1 year of age (risk ratio 3.9, 95% CI 1.1-9.4, P=0.04). In conclusion, Medicaid insurance was associated with a 3-month delay in referral to craniofacial specialists and increased risk of diagnosis over 3 months of age, limiting surgical treatment options in this group. Patients with Medicaid also faced a 4-fold greater risk of delayed surgery, which could result in neurodevelopmental sequelae.
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http://dx.doi.org/10.1097/SCS.0000000000008815 | DOI Listing |
J Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
Epidemiol Serv Saude
January 2025
Universidade Federal da Bahia, Instituto de Saúde Coletiva, Salvador, BA, Brasil.
Objective: To describe the sociodemographic profile and access to social assistance and health services among trans people and travestis experiencing homelessness in Salvador, the capital city of Bahia state.
Methods: This was a cross-sectional study involving 24 (4.5%) participants who identified as trans people or travestis out of a total of 529 people, aged 18 or older, living in public spaces or institutional shelters included in the survey.
J Bone Joint Surg Am
November 2024
Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
Published in 2003 by the Institute of Medicine, Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care placed an unprecedented spotlight on disparities in the U.S. health-care system.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Political Science, George Washington University, Washington, DC 20052, USA.
In this paper, we examine whether mayors' partisan affiliations lead to differences in crime and policing. We use a large new dataset on mayoral elections and three different modern causal inference research designs (a regression discontinuity design centered around close elections and two robust difference-in-differences methods) to determine the causal effect of mayoral partisanship on crime, arrests, and racial differences in arrest patterns in medium and large US cities. We find no evidence that mayoral partisanship affects police employment or expenditures, police force or leadership demographics, overall crime rates, or numbers of arrests.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada.
Importance: There have been limited evaluations of the patients treated at academic and community hospitals. Understanding differences between academic and community hospitals has relevance for the design of clinical models of care, remuneration for clinical services, and health professional training programs.
Objective: To evaluate differences in complexity and clinical outcomes between patients admitted to general medical wards at academic and community hospitals.
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