22 research outputs found
Disparities in the Clinical Encounter: Virginia's African American Children with Special Health Care Needs
This study analyzed Virginia data from the most recent National Survey of Children with Special Health Care Needs. Logistic regression models were run for six Maternal and Child Health Bureau core outcomes and included demographics, child characteristics, health care providers, and health care access variables as predictors. Race/ethnicity disparities were judged to be present if the race/ethnicity variable was a significant predictor in the final model. Examining the components of disparate outcomes, African American children were found to be less likely than their white counterparts to have a usual source for sick and preventive care and to have a personal doctor or nurse. Their parents were less likely to say that doctors spent enough time, listened carefully, were sensitive to values and customs, and made them feel like a partner. These findings emphasize the need to examine health care disparities at a state level in order to guide efforts at remediation
A Cost Analysis of Universal versus Targeted Cholesterol Screening in Pediatrics.
OBJECTIVE: To compare the number of children needed to screen to identify a case of childhood dyslipidemia and estimate costs under universal vs targeted screening approaches. STUDY DESIGN: We constructed a decision-analytic model comparing the health system costs of universal vs targeted screening for hyperlipidemia in US children aged 10 years over a 1-year time horizon. Targeted screening was defined by family history: dyslipidemia in a parent and/or early cardiovascular disease in a first-degree relative. Prevalence of any hyperlipidemia (low-density lipoprotein [LDL] ≥130 mg/dL) and severe hyperlipidemia (LDL ≥190 mg/dL or LDL ≥160 mg/dL with family history) were obtained from published estimates. Costs were estimated from the 2016 Maryland Medicaid fee schedule. We performed sensitivity analyses to evaluate the influence of key variables on the incremental cost per case detected. RESULTS: For universal screening, the number needed to screen to identify 1 case was 12 for any hyperlipidemia and 111 for severe hyperlipidemia. For targeted screening, the number needed to screen was 7 for any hyperlipidemia and 49 for severe hyperlipidemia. The incremental cost per case detected for universal compared with targeted screening was 32 170 for severe hyperlipidemia. CONCLUSIONS: Our model suggests that universal cholesterol screening detects hyperlipidemia at a low cost per case, but may not be the most cost-efficient way to identify children with severe hyperlipidemia who are most likely to benefit from treatment
Physicians' Current Practices and Opportunities for DNA Banking of Dying Patients With Cancer
DNA banking has the potential to provide critical information to relatives of patients with cancer. Despite this, it is not being used by palliative care oncologists
Recruiting Diverse Patients to a Breast Cancer Risk Communication Trial—Waiting Rooms Can Improve Access
Low participation among underserved populations in health research constrains progress in public health practices. From 2003 to 2005, Women’s Health Clinic patients at the VCU Health System were recruited to a trial investigating breast cancer risk communication. In secondary analyses, we examined dimensions of the recruitment of these diverse women. The sample characteristics (age, insurance, race and previous mammograms) were compared to the overall clinic. Of recruitment attempts for eligible women, 45% consented; of those who declined, the top cited reasons were lack of time (40%) and lack of interest (18%). Of 899 participants, 35% qualified for the indigent care program, compared to 31% of the overall clinic (P<0.001). Forty-five percent of participants were African American, compared to 54% of overall clinic patients (P<0.001). Participants were younger (50 vs. 53 years, P<0.001) than the overall clinic population. Nonrepresentative enrollment of patients in clinical trials is common and could lead to suboptimal applicability of findings. Although there were statistically significant race and age differences between the study sample and the overall population, we demonstrate that waiting room recruitment can engage diverse women in a clinical trial and cancer risk communication