Yuhua Bao

Objectives: To assess the effect of initiating antidepressant therapy with a generic prescription on adherence to antidepressant therapy among Medicare patients. A second objective is to assess how the effect might be moderated by the Medicare Part D coverage gap. Study Design and Methods: Adherence to antidepressant therapy was measured by (a lack of) disruption in medication use defined by a gap of 30 days or more in antidepressant possession and monthly days of possession, both measured over 180 days since antidepressant initiation. We used a 5% random sample of Medicare fee-for-service beneficiaries who received a new depression diagnosis in the first half of 2007 and initiated antidepressant therapy within 60 days (n = 16,778). We estimated a Cox proportional hazard model for antidepressant disruption and a mixedeffects linear model for monthly possession. All analyses were stratified by 4 cohorts defined by Part D low-income subsidy (LIS) status and Medicare entitlement (aged ...

To use natural language processing (NLP) of text from electronic medical records (EMRs) to identify failed communication attempts between home health nurses and physicians, to identify predictors of communication failure, and to assess the association between communication failure and hospital readmission. Retrospective cohort study. Visiting Nurse Service of New York (VNSNY), the nation's largest freestanding home health agency. Medicare beneficiaries with congestive heart failure who received home health care from VNSNY after hospital discharge in 2008-09 (N = 5,698). Patient-level measures of communication failure and risk-adjusted 30-day all-cause readmission. Identification of failed communication attempts using NLP had high external validity (kappa = 0.850, P < .001). A mean of 8% of communication attempts failed per episode of home care; failure rates were higher for black patients and lower for patients from higher median income ZIP codes. The association between communication failure and readmission was not significant with adjustment for patient, nurse, physician, and hospital factors. NLP of EMRs can be used to identify failed communication attempts between home health nurses and physicians, but other variables mostly explained the association between communication failure and readmission. Communication failures may contribute to readmissions in more-serious clinical situations, an association that this study may have been underpowered to detect.

BACKGROUND: Inpatient care in the United States accounts for one third of the health care expenditures. There exists a well-established trend towards fewer inpatient admissions and shorter lengths of stay for all inpatient care, which can be attributed to cost containment efforts through managed care and advances in treatment technologies. However, different illnesses may not necessarily share the same pattern of change in inpatient care utilization. In particular, mental health and substance abuse (MHSA) care has experienced a particularly dramatic growth of specialized managed behavioral organizations, which could have led to an even faster decline. AIMS OF THE STUDY: This study contrasts the trends of MHSA inpatient care in U.S. community hospitals with medical inpatient care over the years 1988 to 1997. It also analyzes the trends for subgroups of MHSA stays by diagnostic groups, age and primary payer. METHODS: We use the National Inpatient Sample (NIS) from the Health Care Cost...

This study estimated the prevalence of diagnosed depression among elderly Medicare fee-for-service home health patients and identified demographic, functional, and care utilization characteristics associated with the diagnosis. Data from the 2007 National Home and Hospice Care Survey were analyzed to generate nationally representative estimates. Chi square and Wald tests, corrected for the sampling design, tested for differences in categorical and continuous measures, respectively. Nationally, 6.4% (N=42,192) of the study population received a diagnosis of depression, which was associated with younger age (p=.016), lack of a primary caregiver other than the home care agency (p<.001), a lower likelihood of receiving medical social services (p=.010), and a greater likelihood of using antidepressants (p<.001). The rate of diagnosed depression was higher than the rate found in a previous study but lower than rates in studies that used diagnostic interviews or screening tools. Diagnosed depression was associated with a limited number of patient characteristics.

The objective of this study was to assess the socioeconomic circumstances of older patients with HIV and acquired immunodeficiency syndrome (AIDS). The investigators compared subjects from a national probability sample of 2,864 respondents from the HIV Cost and Services Utilization Study (HCSUS, 1996) with 9,810 subjects from Wave 1 (1992) of the Health and Retirement Survey (HRS). Bivariate analyses compare demographic characteristics, financial resources, and health insurance status between older and younger adults and between older adults with HIV and the general population. It was found that nearly 10% of the HIV-positive population is between the ages of 50 and 61 years. Older whites with HIV are mostly homosexual men who are more well educated, more often privately insured, and more financially stable than the HIV population as a whole. In contrast, older minorities with HIV possess few economic resources in either absolute or relative terms. The success of new drug therapies and the changing demographics of the HIV population necessitate innovative policies that promote labor force participation and continuous access to antiretroviral therapies.

Our study objectives were to examine race/ethnicity-related and insurance-related differences in the timeliness of emergency care for a nationally representative sample of adults and to explore the role of uncertainty and location of care in explaining overall differences. We estimated a logistic regression model with hospital fixed effects to derive estimates of within-hospital group differences in the likelihood of waiting for more than 60 minutes to see a physician for several presenting conditions. We further estimated a model without hospital fixed effects to derive overall group differences. We observed race/ethnicity-related and payer-related differences in the timeliness of a medical screening exam for abdominal pain and chest pain visits but not for extremity laceration visits. Overall (within- and between-hospitals) differences in waiting time were due to patients receiving different care from the same hospital and from patients receiving care from different hospitals.

This paper studies two utilization measures of alcoholism treatment, discharge rate and average length of stay, in the United States, Australia, Sweden and Canada. The results suggest that the decline in length of stay and discharges in the past 15 years was an international phenomenon and not unique to the U.S. However, data for length of stay also suggests that the biggest decline in the United States coincided with the fastest growth of managed behavioral health care.

To determine the extent to which socioeconomic and racial/ethnic differences in cancer screening discussion between a patient and his/her primary care physician are due to "within-physician" differences (the fact that patients were treated differently by the same physicians) versus "between-physician" differences (that they were treated by a different group of physicians). We use data from the baseline patient and physician surveys of two community trials from the Communication in Medical Care (CMC) research series. The two studies combined provide an analysis sample of 5,978 patients ages 50-80 nested within 191 primary care physicians who practiced throughout Southern California. Our main outcomes of interest are whether the physician has ever talked to the patient about fecal occult blood test (FOBT; for colorectal cancer screening), mammogram (for breast cancer screening, female patients only) and the prostate-specific antigen test (PSA, male patients only). We consider five racial/ethnic groups: non-Hispanic white, non-Hispanic black, Hispanic, Asian, and other race/ethnicity. We measure socioeconomic status by both income and education. For each type of cancer screening discussion, we first estimate a probit model that includes patient characteristics as the only covariates to assess the overall differences. We then add physician fixed effects to derive estimates of "within-" versus "between-" physician differences. There was a strong education gradient in the discussion of all three types of cancer screening and most of the education differences arose within physicians. Disparities by income were less consistent across different screening methods, but seemed to have arisen mainly because of "between-physician" differences. Asians were much less likely, compared with whites, to have received discussion about FOBT and PSA and these differences were mainly "within-physician" differences. Black female patients, however, were much more likely, compared with whites treated by the same physicians, to have discussed mammogram with their physicians. Differences in cancer screening discussion along the different dimensions of patient SES may have arisen because of very different mechanisms and therefore call for a combination of interventions. Physicians need to be aware of the persistent disparities by patient education in clinical communication regarding cancer screening and tailor their efforts to the needs of low-education patients. Quality-improvement efforts targeted at physicians practicing in low-income communities may also be effective in addressing disparities in cancer screening communication by patient income.