Background: Data on race-and-ethnicity that are needed to measure health equity are often limited or missing. The importance of first name and sex in predicting race-and-ethnicity is not well understood.
Objective: The objective of this study was to compare the contribution of first-name information to the accuracy of basic and more complex racial-and-ethnic imputations that incorporate surname information.
Background: Healthcare Effectiveness Data and Information Set (HEDIS) quality measures have long been used to compare care across health plans and to study racial/ethnic and socioeconomic disparities among Medicare Advantage (MA) beneficiaries. However, possible gender differences in seniors' quality of care have received less attention.
Objective: To test for the presence and nature of any gender differences in quality of care across MA Plans, overall and by domain; to identify those most at risk of poor care.
Background: Prior research documents gender gaps in cardiovascular risk management, with women receiving poorer quality routine care on average, even in managed care systems. Although population health management tools and quality improvement efforts have led to better overall care quality and narrowing of racial/ethnic gaps for a variety of measures, we sought to quantify persistent gender gaps in cardiovascular risk management and to assess the performance of routinely used commercial population health management tools in helping systems narrow gender gaps.
Methods: Using 2013 through 2014 claims and enrollment data from more than 1 million members of a large national health insurance plan, we assessed performance on seven evidence-based quality measures for the management of coronary artery disease and diabetes mellitus, a cardiac risk factor, across and within four metropolitan areas.
Objective: Evaluate short-term effects of the Patient Safety Improvement Corps (PSIC), an Agency for Healthcare Research and Quality–sponsored program to train state teams in patient safety skills/tools, to assess its contribution to building a national infrastructure supporting effective patient safety practices.
Data Source: Self-reported information gathered from (1) group interviews at the end of each year; (2) individual telephone interviews 1 year later; (3) faxed information forms 2 years later.
Study Design: Program evaluation of immediate and short-term process and impact (use of skills/tools, information sharing, changes in practice).
Objective: This study explored how HIV care differs for infected persons with and without severe mental illness.
Methods: Data were obtained through interviews with and chart review of 295 patients with severe mental illness and HIV from public mental health agencies in Los Angeles County and New York City. Data were compared with data from 1,294 HIV patients without severe mental illness from a separate national probability sample.
Purpose: To assess gender differences in the quality of care for cardiovascular disease and diabetes for enrollees in managed care plans.
Methods: We obtained data from 10 commercial and 9 Medicare plans and calculated performance on 6 Health Employer Data and Information Set (HEDIS) measures of quality of care (beta-blocker use after myocardial infarction [MI], low-density lipoprotein cholesterol [LDL-C] check after a cardiac event, and in diabetics, whether glycosylated hemoglobin [HgbA1c], LDL cholesterol, nephropathy, and eyes were checked) and a 7th HEDIS-like measure (angiotensin-converting enzyme [ACE] inhibitor use for congestive heart failure). A smaller number of plans provided HEDIS scores on 4 additional measures that require medical chart abstraction (control of LDL-C after cardiac event, blood pressure control in hypertensive patients, and HgbA1c and LDL-C control in diabetics).
Objective: To review two indirect methods, geocoding and surname analysis, for estimating race/ethnicity as a means for health plans to assess disparities in care.
Study Design: Review of published articles and unpublished data on the use of geocoding and surname analyses.
Principal Findings: Few published studies have evaluated use of geocoding to estimate racial and ethnic characteristics of a patient population or to assess disparities in health care.
Background: Many organizations participate in quality collaboratives, yet the return on investment of the associated time and costs is unclear.
Method: Semistructured interviews, surveys, and direct observation were used to assess experiences, improvement activities, and costs associated with participation in a year-long modified Institute for Healthcare Improvement-style collaborative designed to improve HIV care within the Veterans Health Administration. All nine sites had access to automated patient registries and semi-automated clinical measure reports; five sites also received computerized clinical reminders.
Individuals with serious mental illness are at higher risk for HIV than are members of the general population. Although studies have shown that individuals with serious mental illness experience less adequate care and worse physical health outcomes than comparable patients without serious mental illness, little is known about HIV care among individuals with serious mental illness who become infected with HIV. In the present study, we describe patterns of highly active antiretroviral treatment (HAART) use and physician monitoring received by 154 patients with serious mental illness infected with HIV.
View Article and Find Full Text PDFTracking quality-of-care measures is essential for improving care, particularly for vulnerable populations. Although managed care plans routinely track quality measures, few examine whether their performance differs by enrollee race/ethnicity or socioeconomic status (SES), in part because plans do not collect that information. We show that plans can begin examining and targeting potential disparities using indirect measures of enrollee race/ethnicity and SES based on geocoding.
View Article and Find Full Text PDFBackground: The Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule, intended to address potential threats to patient privacy posed by the computerization and standardization of medical records, provides a new floor level of federal protection for health information in all 50 states. In most cases, compliance with the Privacy Rule was required as of April 2003. Yet considerable confusion and concern remain about the Privacy Rule and the specific changes it requires in the way healthcare providers, health plans, and others use, maintain, and disclose health information.
View Article and Find Full Text PDFObjective: To evaluate HIV quality of care using a symptom-based, patient-centered framework.
Methods: An expert panel developed 13 quality indicators for three common symptoms: cough with fever and/or shortness of breath; severe or persistent diarrhea; and significant weight loss. A nationally representative probability sample of HIV-infected adults was interviewed between 1996 and 1997.
Objectives: To describe patterns of care for primary open-angle glaucoma (POAG) and assess conformance with the American Academy of Ophthalmology's Preferred Practice Pattern (PPP).
Methods: We obtained administrative, survey, and eye care records data on 395 working-age patients with POAG enrolled in 6 managed care plans between 1997 and 1999. We assessed processes of care at the initial and follow-up visits, control of intraocular pressure (IOP), intervals between visits and visual field tests, and adjustments in therapy.