Anytime I see the words “cost saving” in reference to a public health or medical intervention, my first thought is “Yeah, right!” It just doesn’t happen that often. One can spend more money to get better outcomes (or more care provided), or less money for worse outcomes, but rarely less money AND better outcomes. However,… Read More »
To gauge the effects of medical interventions, we often use meta-analysis to combine the results of randomized control trials (RCTs). RCTs commonly use odds ratios (ORs) to measure the effect of a given intervention on the frequencies of events. Conventional methods of estimating overall ORs suffer from a number of issues. Drs. Chang and Hoaglin describe… Read More »
In an effort to improve the validity and person-centeredness of the nursing home resident assessment tool (the Minimum Data Set, or MDS), the Centers for Medicare and Medicaid Services introduced version 3.0 in October 2010. As a result, many of the measures and items health services researchers had grown accustomed to using in the MDS… Read More »
In theory, quality measurement and reporting generally benefits patients and their families, as (PDF link) public data on quality increases transparency and provider accountability. It also may benefit providers as a tool for quality assurance and improvement; however, the evidence does not always provide a clear picture. Unique challenges exist for patients receiving home care… Read More »
Since the launch of Nursing Home Compare (NHC) in 2002, consumers have had access to information about the quality of care provided by most nursing homes (NHs) throughout the country. The intention is to help consumers distinguish among NHs and motivate informed decision making based on quality. For NHC to be useful, the quality measures… Read More »
According to the 2010 U.S. Census, there are 40 million people (13% of the population) older than 65 years of age living in the U.S. This population has increased dramatically during the last two decades. Currently more than half of all surgeries are performed on this group of patients in the U.S. Frailty is typically defined by… Read More »
Comparative Effectiveness Research (CER) seeks to compare alternative treatments and ways to deliver healthcare to inform healthcare decisions. It can provide evidence of the harms, benefits, and effectiveness of different treatment options. As the number of studies in CER continues to grow, it is vitally important that the types of bias that exist as a function of the study design be explained. In a Medical Care article published in April, Dr. Sebastien Haneuse lays out definitions and examples of selection bias and confounding bias in CER, with a particular emphasis on distinguishing between the two.
As readers of Medical Care are no doubt aware, prescription drug expenditures for Medicare beneficiaries are high – nearly $90 billion in 2012. There is some evidence that Medicare Part D has reduced financial burdens, at least among some beneficiaries, but recent surveys suggest that around 4.4% of individuals ages 65 and older (including those not on… Read More »