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INTRODUCTION: Numerous studies have shown that both race and insurance status may affect prostate cancer (PCa) workup and treatment. Preliminary investigations have shown that these factors may be associated with treatment delays, which may indicate inequitable care and increase risk of tumor progression. This investigation aimed to assess whether race and insurance impacted the interval between multiparametric MRI (mpMRI)-to-biopsy, and biopsy-to-prostatectomy. MATERIALS AND METHODS: A single-institution analysis of 261 patients with recorded race and insurance data was performed using an Institutional Review Board-compliant database with information spanning from 2016 to 2022. Race was self-reported during intake, and insurance status was retrieved from the electronic medical record. Insurance was sub-divided into private, Medicare, and Medicaid. Diagnostic or treatment latency was defined as time between mpMRI-to-biopsy, or biopsy-to-surgery. RESULTS: Stratified by race, there was no difference in either latency period when comparing African American (AA) and white patients. Stratified by insurance status, there was no difference in time from mpMRI-to-biopsy (P = .50), but there was a significantly longer interval from biopsy-to-prostatectomy for patients with Medicaid insurance (P = .02). Patients with Medicaid waited on average 168 days to receive surgery, in contrast to 92 days for private and 87 for Medicare. Notably, 82% of Medicaid patients were AA. CONCLUSION: Insurance status, which is inherently linked to race and social determinants of health, portended a significantly increased interval between biopsy and surgery. Physicians should be aware of the relationship between insurance status and treatment delay, as well as its potential downstream consequences.
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Medicare , Neoplasias de la Próstata , Anciano , Masculino , Humanos , Estados Unidos , Medicaid , Neoplasias de la Próstata/diagnóstico , Neoplasias de la Próstata/cirugía , Próstata/diagnóstico por imagen , Próstata/cirugía , Próstata/patología , Cobertura del SeguroRESUMEN
CONTEXT: Children with spina bifida are at high risk for urinary tract infections (UTI). However, there is no standardized definition of UTI in this population, leading to variability in both clinical management and research. This was highlighted in the 2013 systematic review on the same topic. OBJECTIVE: Evaluate the frequency with which researchers are defining UTI in their studies of children with spina bifida and to determine what parameters are used. DATA SOURCES: We searched Medline and Scopus databases for articles that included pediatric patients with spina bifida and used UTI as an outcome. STUDY SELECTION: Exclusion criteria included publication before October 1, 2012, non-English language, and nonprimary research articles. DATA EXTRACTION: Two independent reviewers each extracted data. RESULTS: A total of 39 studies were included; 74% of these analyzed included an explicit definition of UTI. The most commonly used definition included a combination of symptoms and culture results (34.5%), whereas 31% used a combination of symptoms, culture results, and urinalysis data. Only 3.4% of articles used a urine culture alone to define UTI. CONCLUSIONS: More articles that focus on children with spina bifida included a definition of UTI. However, significant variability persists in the definition of UTI in this patient population.
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Disrafia Espinal , Infecciones Urinarias , Niño , Bases de Datos Factuales , Humanos , Disrafia Espinal/complicaciones , Disrafia Espinal/diagnóstico , Disrafia Espinal/epidemiología , Urinálisis , Infecciones Urinarias/diagnóstico , Infecciones Urinarias/epidemiologíaRESUMEN
BACKGROUND: Electronic messaging and telemedicine visits increased during the COVID pandemic. African-Americans and older patients have less frequently used electronic messaging with their physicians. This study compares the utilization of virtual health care before and during the COVID pandemic for inflammatory bowel disease (IBD) patients. METHODS: A chart review of all IBD patients seen at an academic medical center from 2014-2020 was conducted to evaluate the use of telehealth options (e-messaging, e-visits) during a pre-COVID and COVID timeframe. Analysis of telehealth use from March - August 2018 and March - August 2020 was performed. Patient age, gender, race, IBD type, electronic messaging and telehealth visits were obtained. A confidential database was created. Statistical analysis was performed using Fisher Exact test with significance set at p < 0.05. The study was IRB approved. RESULTS: 392 patients were in the pre-COVID cohort. There were 204 White, 99 African-American, 11 Asian, and 78 racially un-identified patients. 160 (40.8%) initiated E-communication with their physicians. There was a significant difference in the use of e-messaging based upon age (51.1% < 50 vs 39.7% ≥ 50; pâ¯=â¯0.0396) and race (62.3% White vs 28.2% African-American; p < 0.00001).There were no significant differences in the use of e-messaging based upon patient gender (pâ¯=â¯0.6840) or IBD type (pâ¯=â¯0.6374). There were 295 patients in the COVID cohort. There were 155 White, 83 African American patients, 24 Hispanic patients, 10 Asian patients, and 22 racially un-identified patients. 109 (36.9%) utilized a telehealth option (53 via e-messaging; 56 via telemedicine visit). There was no significant difference in the use of a telehealth option based upon age (36.8% < 50 vs 37.25% ≥ 50 years; pâ¯=â¯1.00), race (42.6% White vs 35.9% African-American; pâ¯=â¯0.2693) or IBD type (pâ¯=â¯0.331). Males used telehealth more than females (46.1% vs 29.7%, respectively; pâ¯=â¯0.0051). DISCUSSION: The COVID pandemic emergency increased e-visits and e-messaging for care delivery. Expanded telemedicine options for IBD patients eliminated previously identified racial and age disparities in virtual medical care. African Americans utilized electronic communication as frequently as Whites during the pandemic. Post-pandemic policy consideration for continued telemedicine options may expand patient-physician engagement and eliminate disparities in health care.