Rural policy brief最新文献

Medicare payment disproportionately impacts rural physicians compared to urban. For example, 51% of rural physicians, compared to 44% of urban physicians, receive at least 38% of their payments from Medicare.1 Thus, the Medicare physician payment system is of significant rural interest. In this policy brief, we present the effects of the Medicare Prescription Drug, Improvement, and Modernization Act (MMA) of 2003 on physician payment rates in rural areas. Specifically, we examine the impact of creating a floor of 1.00 in the geographic practice cost index (GPCI) for work expense. We also show the effects of the Medicare incentive payment (MIP) for providing services in shortage areas and of the bonus for practicing in a physician scarcity area. Our principal findings are the following: (1) Increases to the GPCI for work expense accounted for a substantial percentage of the two-year increases in total payment to physicians in rural payment areas. (2) Increases in the conversion factor (CF) (base payment) accounted for most of the increases in total payment in all but 6 of the 89 Medicare payment localities; in those 6 areas, the dominant factor was GPCI adjustment. (3) Bonus payments are a more direct means of targeting increased payments to physicians in specific areas than is a general increase in one part of the payment formula.

Unlabelled: Health care quality is being addressed from a variety of policy perspectives. The 2001 Institute of Medicine report, Crossing the Quality Chasm, calls for sweeping action involving a five-part strategy for change in the U.S. health care system. This agenda for change includes use of evidence-based approaches to address common conditions, the majority of which are chronic. A Chronic Disease Management System (CDMS), or registry, is a tool that helps providers efficiently collect and analyze patient information to promote quality care for the rural population. CDMSs can provide a technological entry point for the impending use of Electronic Medical Records. A CDMS is a patient-centered electronic database tool that helps providers diagnose, treat, and manage chronic diseases. The purpose of this brief is to discuss the different types of CDMSs used by a sample of 14 state organizations and 19 local rural clinics in Maine, Nebraska, New Mexico, South Carolina, Washington, and Wisconsin. As part of a larger study examining the challenges and innovations in implementing disease management programs in rural areas, we conducted interviews with national, state, and local contacts. During interviews, respondents helped us understand the usefulness and functionalities of commonly used CDMSs in rural facilities. Our focus was on the use of CDMSs in the management of diabetes, a disease prevalent in rural populations.

Key findings: (1) CDMSs are readily available to rural clinics and are being implemented and maintained by clinic staff with minimal expenditures for technology. (2) Use of a standardized system in a collaborative helps provide data comparisons and share costs involved with technical assistance services across the group.

On January 1, 2006, the Medicare program began offering prescription drug coverage (Medicare Part D) to over 42 million Medicare beneficiaries. This policy brief provides a first snapshot of enrollment in rural and urban areas across the United States and outlines the early findings from an analysis of plans available to rural persons under Medicare's Part D program. The data in this brief will be updated as new data are available from the Centers for Medicare and Medicaid Services (CMS). Key Findings As of March 18, 2006 (date of release by CMS), (1) 59% of rural beneficiaries and 67% of urban beneficiaries have creditable drug coverage. (2) 21% of rural beneficiaries were enrolled in stand-alone prescription drug plans (PDPs), compared to 13% of urban beneficiaries. (3) 3% of rural beneficiaries were enrolled in Medicare Advantage prescription drug (MA-PD) plans, compared to 16% of urban beneficiaries. (4) In non-adjacent rural areas, 22% of rural beneficiaries were enrolled in stand-alone PDPs, and 2% were enrolled in MA-PD plans. (5) All beneficiaries, including those in rural areas, can choose a PDP option that covers 91% of the top 100 formulary drugs. (6) Average monthly premiums and other plan characteristics for MA-PD plans vary significantly across states-for example (excluding Maine), 2 premiums vary from $6 in urban New Hampshire to $53 in rural Hawaii.

This document summarizes the experience of CAH administrators with contracts offered by Medicare Advantage (MA) plans. Telephone surveys were conducted with CAH administrators across the country to learn about their experiences with MA plans. This brief includes information about the contract terms administrators have been offered, their experiences negotiating with MA plans, and their advice for others dealing with this issue.

In this policy brief, we explore how predictions of changes in hospital financial performance as a result of change in Medicare payment differ when comparing results using data from the Medicare Cost Report (MCR) to results using data from the audited hospital financial statement (FS). The purpose of this exploratory research is to test the assumption that MCR data yield a valid indicator of changes in hospital financial well-being.

According to the American Academy of Family Physicians (AAFP), the percentage of family physicians accepting new Medicare patients declined from 84.1% in 2000 to 76.1% in 2003 (Trude & Ginsburg 2002). That decline coincided with projected annual decreases in Medicare physician payment announced in March 2002 and March 2003. The decline in the percentage of family physicians accepting new Medicare patients is cause for concern about Medicare beneficiaries' access to health care services. National trends for all physicians may mask different trends among rural physicians. The data in this policy brief describe the trends for urban and rural physicians who no longer accept new Medicare patients.

Very few studies have thoroughly examined the discrepancies between the financial information in the Medicare Cost Report (MCR) and that in the audited hospital financial statement (FS). Furthermore, this type of study has never been conducted for rural hospitals. In this policy brief, we present the findings from our study, which used statistical methods to examine the agreement between the MCR and the FS of a series of financial measures in rural hospitals. The results are expected to inform policy makers of the limitation inherent in using MCR data as the single source of data to examine the financial performance of rural hospitals.