Guidelines developed for high-income settings were adapted to inform a care pathway and model of care for medically underserved areas and low- and middle-income countries by considering factors such as costs and feasibility, in addition to benefits, harms, and the quality of underlying evidence. The selection of recommended conservative treatments must be finalized through discussion with the involved community and based on a biopsychosocial approach. Decision determinants for selecting recommended treatments include costs, availability of interventions, and cultural and patient preferences. These slides can be retrieved under Electronic Supplementary Material.

The GSCI proposes an evidence-based, practical, sustainable, and scalable model of care representing eight core principles with a six-step implementation plan. The aim of this model is to help transform spine care globally, especially in low- and middle-income countries and underserved communities. These slides can be retrieved under Electronic Supplementary Material.

Objective To determine if brain imaging in fetuses that underwent prenatal repair of neural tube defect (NTD) can predict the need for postnatal hydrocephalus treatment (HT) in the first year postpartum. Methods This was a retrospective study of fetuses diagnosed with open NTD that had in‐utero myelomeningocele repair between April 2014 and April 2016. Independent variables were collected from four chronological sets of fetal images: presurgery ultrasound, presurgery magnetic resonance imaging (MRI), 6‐week postsurgery MRI and predelivery ultrasound. The following independent variables were collected from all image sets unless otherwise noted: gestational age, head circumference, mean ventricular width, ventricular volume (MRI only), hindbrain herniation (HBH) score (MRI only), and level of lesion (LOL), defined as the upper bony spinal defect (presurgery ultrasound only). Based on these measurements, additional variables were defined and calculated including change in degree of HBH, ventricular width growth (mm/week) and ventricular volume growth (mL/week). The need for HT (by either ventriculoperitoneal shunt or endoscopic third ventriculostomy with choroid plexus cauterization) was determined by a pediatric neurosurgeon using clinical and radiographic criteria; a secondary analysis was performed using the MOMS trial criteria for hydrocephalus. The predictive value of each parameter was assessed by receiver–operating characteristics curve and logistic regression analyses. Results Fifty affected fetuses were included in the study, of which 32 underwent open hysterotomy and 18 fetoscopic repair. Two neonates from the open hysterotomy group died and were excluded from the analysis. The mean gestational ages for the presurgery ultrasound, presurgery MRI, postsurgery MRI and predelivery ultrasound were 21.8 ± 2.1, 22.0 ± 1.8, 30.4 ± 1.6 and 31.0 ± 4.9 weeks, respectively. A total of 16 subjects required HT. The area under the curve (AUC) of predictive accuracy for HT showed that HBH grading on postsurgery MRI had the strongest predictive value (0.86; P < 0.01), outperforming other predictors such as postsurgery MRI ventricular volume (0.73; P = 0.03), MRI ventricular volume growth (0.79; P = 0.01), change in HBH (0.82; P = 0.01), and mean ventricular width on predelivery ultrasound (0.73; P = 0.01). Other variables, such as LOL, mean ventricular width on presurgery ultrasound, mean ventricular width on presurgery and postsurgery MRI, and ventricular growth assessment by MRI or ultrasound, had AUCs < 0.7. Optimal cut‐offs of the variables with the highest AUC were evaluated to improve prediction. A combination of ventricular volume growth ≥ 2.02 mL/week and/or HBH of 3 on postsurgery MRI were the optimal cut‐offs for the best prediction (odds ratio (OR), 42 (95% CI, 4–431); accuracy, 84%). Logistic regression analyses showed that persistence of severe HBH 6 weeks after surgery by MRI is one of the best predictors for HT (OR, 39 (95% CI, 4–369); accuracy, 84%). There was no significant change in the results w...

BACKGROUND: Trends in breast cancer mortality in the United States are decreasing, but racial disparities persist. Using an implementation science framework to inform evidence-based breast cancer screening and navigation within federally qualified health centers (FQHCs) with community stakeholders can mitigate barriers to screening. METHODS: Using an integrated theoretical framework of the Practical, Robust Implementation and Sustainability Model and the Social Ecological Model, the University of Illinois Cancer Center and Mile Square Health Centers (MSHC) FQHC developed a breast cancer screening and navigation program, known as the Mile Square Accessible Mammogram Outreach and Engagement (Mi-MAMO) program, to tackle breast cancer disparities in Chicago among underresourced communities. To increase access to screening, patient navigators conducted community outreach activities. Partnerships were forged with community-based organizations, health care systems, and insurers. Outcomes were monitored with standardized performance measures. RESULTS: Between January and December 2017, 103 women received a screening mammogram at MSHC. To increase screening rates, Mi-MAMO was , 779 women received navigation to screening and/or diagnostic services through the Mi-MAMO program. The majority of women were uninsured (63.9%), and 95.5% were racial/ethnic minorities. Twenty-four percent (n = 185) completed diagnostic services, and 10 women received positive breast cancer diagnoses (mean age, 49.7 years); all successfully navigated to treatment. The Mi-MAMO program is ongoing. CONCLUSIONS: Deploying an integrated framework for patient navigation programs can increase breast cancer screening utilization and awareness among underresourced populations at higher risk for breast cancer. Cancer 2020;126:2481-2493.