Faculty Bibliography

OBJECTIVE:This study compared trends in racial-ethnic disparities in mental health care access among whites, blacks, Hispanics, and Asians by using the Institute of Medicine definition of disparities as all differences except those due to clinical appropriateness, clinical need, and patient preferences. METHODS:Racial-ethnic disparities in mental health care access were examined by using data from a nationally representative sample of 214,597 adults from the 2004-2012 Medical Expenditure Panel Surveys. The main outcome measures included three mental health care access measures (use of any mental health care, any outpatient care, and any psychotropic medication in the past year). RESULTS:Significant disparities were found in 2004-2005 and in 2011-2012 for all three racial-ethnic minority groups compared with whites in all three measures of access. Between 2004 and 2012, black-white disparities in any mental health care and any psychotropic medication use increased, respectively, from 8.2% to 10.8% and from 7.6% to 10.0%. Similarly, Hispanic-white disparities in any mental health care and any psychotropic medication use increased, respectively, from 8.4% to 10.9% and 7.3% to 10.3%. CONCLUSIONS:No reductions in racial-ethnic disparities in access to mental health care were identified between 2004 and 2012. For blacks and Hispanics, disparities were exacerbated over this period. Clinical interventions that improve identification of symptoms of mental illness, expansion of health insurance, and other policy interventions that remove financial barriers to access may help to reduce these disparities.

Study Objectives: To assess effectiveness of a culturally and linguistically tailored telephone-delivered intervention to increase adherence to physician-recommended evaluation and treatment of obstructive sleep apnea (OSA) among blacks. Methods: In a two-arm randomized controlled trial, we evaluated effectiveness of the tailored intervention among blacks with metabolic syndrome, relative to those in an attention control arm (n = 380; mean age = 58 +/- 13; female = 71%). The intervention was designed to enhance adherence using culturally and linguistically tailored OSA health messages delivered by a trained health educator based on patients' readiness to change and unique barriers preventing desired behavior changes. Results: Analysis showed 69.4% of the patients in the intervention arm attended initial consultation with a sleep specialist, compared to 36.7% in the control arm; 74.7% of those in the intervention arm and 66.7% in the control arm completed diagnostic evaluation; and 86.4% in the intervention arm and 88.9% in the control arm adhered to PAP treatment based on subjective report. Logistic regression analyses adjusting for sociodemographic factors indicated patients in the intervention arm were 3.17 times more likely to attend initial consultation, compared to those in the control arm. Adjusted models revealed no significant differences between the two arms regarding adherence to OSA evaluation or treatment. Conclusion: The intervention was successful in promoting importance of sleep consultation and evaluation of OSA among blacks, while there was no significant group difference in laboratory-based evaluation and treatment adherence rates. It seems that the fundamental barrier to OSA care in that population may be the importance of seeking OSA care.

Nurses are often first to identify and manage a patient leaving against medical advice (AMA), and so they are critical contributors to the development of strategies to address this problem. We studied AMA discharge in order to help develop useful interventions. We performed a cross-sectional analysis of 55,938 discharges from a single urban hospital for the years 2002-2003 and 2012-2013. AMA discharge rates were higher for HIV-infected patients than for patients with alcohol-related disorders or sickle cell anemia in both time periods, even after adjustment for age, race, sex, insurance status, and household income. For HIV infection, 25% of AMA discharges occurred in patients with multiple AMA discharges and 30-day readmission rates were higher after an AMA discharge: odds ratio 1.57 (95% confidence interval 1.01 to 2.43, p = .046). Team-based and nursing interventions that incorporate the treatment-based values and preferences of HIV-infected patients with prior AMA discharges may improve linkage to care and reduce readmissions.