Publications (6) View all

  • Article: Access to Adequate Outpatient Depression Care for Mothers in the USA: A Nationally Representative Population-Based Study
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    ABSTRACT: Maternal depression is often untreated, resulting in serious consequences for mothers and their children. Factors associated with receipt of adequate treatment for depression were examined in a population-based sample of 2,130 mothers in the USA with depression using data from the 1996–2005 Medical Expenditure Panel Survey. Chi-squared analyses were used to evaluate differences in sociodemographic and health characteristics by maternal depression treatment status (none, some, and adequate). Multivariate regression was used to model the odds of receiving some or adequate treatment, compared to none. Results indicated that only 34.8% of mothers in the USA with depression received adequate treatment. Mothers not in the paid workforce and those with health insurance were more likely to receive treatment, while minority mothers and those with less education were less likely to receive treatment. Understanding disparities in receipt of adequate treatment is critical to designing effective interventions, reducing treatment inequities, and ultimately improving the mental health and health of mothers and their families. Keywordsmaternal depression–access to treatment for depression–adequacy of treatment for depression–disparities in treatment for depression–population-based study–Medical Expenditure Panel Survey (MEPS)
    The Journal of Behavioral Health Services & Research 04/2012; 38(2):191-204. · 1.32 Impact Factor
  • Article: Erratum to: Access to Adequate Outpatient Depression Care for Mothers in the USA: A Nationally Representative Population-Based Study.
    The Journal of Behavioral Health Services & Research 01/2010; · 1.32 Impact Factor
  • Article: Impact of rosuvastatin use on costs and outcomes in patients at high risk for cardiovascular disease in US managed care and medicare populations: A data analysis.
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    ABSTRACT: High blood cholesterol is a major modifiable risk factor for coronary heart disease (CHD) and stroke. The aim of this study was to estimate the economic impact of rosuvastatin calcium use in patients at high risk for CHD and stroke, according to the National Cholesterol Education Program Adult Treatment Panel (ATP) III guidelines. An economic simulation model was developed that used a Markov process to project the number of cardiovascular events and associated costs in a high-risk population in various treatment scenarios. According to the ATP III, high-risk patients are those with CHD, atherosclerosis of peripheral and/or cerebral arteries, diabetes, and/or multiple other risk factors conferring a risk of at least 20% within 10 years. Data on population characteristics and costs of cardiovascular disease (CVD) were obtained from claims data sets from employer-funded commercial and Medicare health plans in the United States. Treatment of lipid disorders was translated into CVD risk reduction based on results from the Heart Protection Study. The estimated efficacies of individual lipid-lowering drugs were based on data published in package inserts. The model generated costs at the health plan level of lipid-lowering therapy in high-risk patients and the number and total costs of cardiovascular events. Estimates were compared for scenarios representing the mix of treatments used before and after the introduction of rosuvastatin. Estimates were generated separately for commercial and Medicare health plans. For every 1 million members of a commercial health plan, an estimated 44,457 met ATP III criteria for high-risk status. Use of rosuvastatin in place of other 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors ("statins") by 11 % of these patients over a period of 5 years was estimated to result in 36 fewer cardiovascular events and a net savings of US 4.03 million dollars. A Medicare plan of 1 million members with an estimated 433,268 high-risk patients and 7% rosuvastatin use was estimated to avoid 727 events and save US 34.32 million dollars. The results of this data analysis suggest that increasing the use of rosuvastatin can result in cardiovascular event reduction and cost savings. Because the impact of lipid-modifying therapy on cardiovascular risk has not been thoroughly documented in controlled clinical studies, our model assumed that incremental lipid changes had effects in proportion to the magnitude of change.
    Clinical Therapeutics 10/2006; 28(9):1425-42. · 2.32 Impact Factor
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    Article: Benefit plan design and prescription drug utilization among asthmatics: do patient copayments matter?
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    ABSTRACT: The ratio of controller-to-reliever medication use has been proposed as a measure of treatment quality for asthma patients. In this study we examine the effects of plan-level mean out-of-pocket asthma medication patient copayments and other features of benefit plan design on the use of controller medications alone, controller and reliever medications (combination therapy), and reliever medications alone. The 1995--2000 MarketScan claims data were used to construct plan-level out-of-pocket copayment and physician/practice prescriber preference variables for asthma medications. Separate multinomial logit models were estimated for patients in fee-for-service (FFS) and non-FFS plans relating benefit plan design features, physician/practice prescribing preferences, patient demographics, patient comorbidities, and county-level income variables to patient-level asthma treatment patterns. We find that the controller-to-reliever ratio rose steadily over 1995--2000, along with out-of-pocket payments for asthma medications, which rose more for controllers than for relievers. After controlling for other variables, however, plan-level mean out-of-pocket copayments were not found to have a statistically significant influence on patient-level asthma treatment patterns. On the other hand, physician/practice prescribing patterns strongly influenced patient-level treatment patterns. There is no strong statistical evidence that higher levels of out-of-pocket copayments for prescription drugs influence asthma treatment patterns. However, physician/practice prescribing preferences influence patient treatment.
    NBER/Frontiers in Health Policy Research 02/2004; 7:95-127.
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    Article: Benefit Plan Design and Prescription Drug Utilization Among Asthmatics: Do Patient Copayments Matter?
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    ABSTRACT: The ratio of controller-to-reliever medication use has been proposed as a measure of treatment quality for asthma patients. In this study we examine the effects of plan-level mean out-of-pocket asthma medication patient copayments and other features of benefit plan design on the use of controller medications alone, controller and reliever medications (combination therapy), and reliever medications alone. The 1995-2000 MarketScanTM claims data were used to construct plan-level out-of-pocket copayment and physician/practice prescriber preference variables for asthma medications. Separate multinomial logit models were estimated for patients in fee-for-service (FFS) and non-FFS plans relating benefit plan design features, physician/practice prescribing preferences, patient demographics, patient comorbidities, and county-level income variables to patient-level asthma treatment patterns. We find that the controller-to-reliever ratio rose steadily over 1995-2000, along with out-of-pocket payments for asthma medications, which rose more for controllers than for relievers. After controlling for other variables, however, plan-level mean out-of-pocket copayments were not found to have a statistically significant influence on patient-level asthma treatment patterns. On the other hand, physician/practice prescribing patterns strongly influenced patient-level treatment patterns. There is no strong statistical evidence that higher levels of out-of-pocket copayments for prescription drugs influence asthma treatment patterns. However, physician/practice prescribing preferences influence patient treatment.
    Forum for Health Economics & Policy 02/2004; 7(1):1053-1053.

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