Policy Researchers (policy + researcher)

Distribution by Scientific Domains


Selected Abstracts


The American Community Survey and Health Insurance Coverage Estimates: Possibilities and Challenges for Health Policy Researchers

HEALTH SERVICES RESEARCH, Issue 2p1 2009
Michael Davern
Objective. To introduce the American Community Survey (ACS) and its measure of health insurance coverage to researchers and policy makers. Data Sources/Study Setting. We compare the survey designs for the ACS and Current Population Survey (CPS) that measure insurance coverage. Study Design. We describe the ACS and how it will be useful to health policy researchers. Principal Findings. Relative to the CPS, the ACS will provide more precise state and substate estimates of health insurance coverage at a point-in-time. Yet the ACS lacks the historical data and detailed state-specific coverage categories seen in the CPS. Conclusions. The ACS will be a critical new resource for researchers. To use the new data to the best advantage, careful research will be needed to understand its strengths and weaknesses. [source]


Universal Owners: challenges and opportunities

CORPORATE GOVERNANCE, Issue 3 2007
James Hawley
This special issue of Corporate Governance is devoted to the concept of "universal ownership" (UO) and grows out of a conference of universal owners, institutional investors, investment professionals and academics held in April 2006 at Saint Mary's College of California, under the sponsorship of the Center for the Study of Fiduciary Capitalism (A report of the conference is available at http://www.fidcap.org). Four of the seven articles in this issue are based on papers presented at the conference, while an additional three (by Lydenberg, Syse and Gjessing, and Lippman et al.) were written specifically for this issue. The conference purposefully developed a practitioners' perspective on universal ownership and these articles reflect this orientation, although each article in its own way breaks new ground which academics, policy researchers and practitioners can and should develop. [source]


The American Community Survey and Health Insurance Coverage Estimates: Possibilities and Challenges for Health Policy Researchers

HEALTH SERVICES RESEARCH, Issue 2p1 2009
Michael Davern
Objective. To introduce the American Community Survey (ACS) and its measure of health insurance coverage to researchers and policy makers. Data Sources/Study Setting. We compare the survey designs for the ACS and Current Population Survey (CPS) that measure insurance coverage. Study Design. We describe the ACS and how it will be useful to health policy researchers. Principal Findings. Relative to the CPS, the ACS will provide more precise state and substate estimates of health insurance coverage at a point-in-time. Yet the ACS lacks the historical data and detailed state-specific coverage categories seen in the CPS. Conclusions. The ACS will be a critical new resource for researchers. To use the new data to the best advantage, careful research will be needed to understand its strengths and weaknesses. [source]


Can the Emergency Department Algorithm Detect Changes in Access to Care?

ACADEMIC EMERGENCY MEDICINE, Issue 6 2008
Robert A. Lowe MD
Abstract Objectives:, The "emergency department algorithm" (EDA) uses emergency department (ED) diagnoses to assign probabilities that a visit falls into each of four categories: nonemergency, primary care,treatable emergency, preventable emergency needing ED care, and nonpreventable emergency. The EDA's developers report that it can evaluate the medical safety net because patients with worse access to care will use EDs for less urgent conditions. After the Oregon Health Plan (OHP, Oregon's expanded Medicaid program) underwent cutbacks affecting access to care in 2003, the authors tested the ability of the EDA to detect changes in ED use. Methods:, All visits to 22 Oregon EDs during 2002 were compared with visits during 2004. For each payer category, mean probabilities that ED visits fell into each of the four categories were compared before versus after the OHP cutbacks. Results:, The largest change in mean probabilities after the cutbacks was 2%. Attempts to enhance the sensitivity of the EDA through other analytic strategies were unsuccessful. By contrast, ED visits by the uninsured increased from 6,682/month in 2002 to 9,058/month in 2004, and the proportion of uninsured visits leading to hospital admission increased by 51%. Conclusions:, The EDA was less useful in demonstrating changes in access to care than were other, simpler measures. Methodologic concerns with the EDA that may account for this limitation are discussed. Given the widespread adoption of the EDA among health policy researchers, the authors conclude that further refinement of the methodology is needed. [source]