A special supplemental issue of Medical Care supports the growing recognition that patient economic outcomes matter in health care. Sponsored by the Assistant Secretary for Planning and Evaluation (ASPE) in the U.S. Department of Health and Human Services, the issue highlights studies that explore the relationship between economic outcomes, patient care, health outcomes and equity. Patient-centered… Read More »
As part of its partnership with the Patient-Centered Outcomes Research Institute (PCORI), Medical Care has published its first PCORI-sponsored article collection, which provides specific information about the costs that healthcare systems can expect to incur in promoting the uptake of specific evidence-based programs. In September’s special issue, five project teams that received Implementation Award funding from PCORI… Read More »
A special dispatch from AcademyHealth’s Annual Research Meeting in Seattle, June 2023 This post recaps a panel discussion focused on Measuring Impact of Policy Strategies on Health Equity. I was fortunate to be among the panelists. My talk focused on 7 common mistakes when conducting evaluation and health equity-focused research. In this post, I share… Read More »
The disproportionate impact of COVID-19 on underserved communities underscored the need for systemic change and renewed efforts to reduce health disparities in people with social risks. This post describes a partnership between Inovalon and Humana to develop a new health equity composite quality measure to identify disadvantaged populations with the largest care disparities and determine… Read More »
Patient experience surveys are a cornerstone of public reporting and pay-for-performance initiatives. Some healthcare providers, payers, and other stakeholders have expressed concerns about declining response rates and representativeness of these surveys [pdf], especially for underserved groups. Increasing response rates is an important goal. Several strategies have been proposed to increase response rates, including administering surveys… Read More »
In this month’s podcast, co-editor Jess Williams recaps blog posts from November and talks about some December journal articles. Listen here or wherever you get your podcasts. Transcription Welcome back to Healthy Intersections, the podcast of themedicalcareblog.com. In this month’s episode, I’ll review some of our blog entries from November and give you a preview… Read More »
Measuring and addressing social drivers of health are important in cancer research. Part 1 of this series, published in March 2022, described three commonly used area-level SDoH indices. None are not able to explain much variation in cancer mortality rates. In this post, I share results from a new model that shows promise. Methods in… Read More »
As a public health researcher, I love data, the more the better. I held this belief until I found that I myself had become the “subject” of research without my consent. This experience made me rethink ethical research. The more data, the better? In 2017, I encountered a state-level bill that required all the government… Read More »
Peer review often elicits strong feelings among editors, authors, and reviewers. Many people have experienced the author and reviewer parts of the equation with both good and bad experiences. Flashback to when I was a newly minted Ph.D., I was thrilled with every request I received and diligently tried to provide useful reviews. However, I… Read More »
Last week, we detailed the findings of virtual convenings we held in North Carolina to improve care for children with complex health needs (CCHN). Here, we share our takeaways about the process of planning, holding and following-up on the convenings. We also outline the specific steps other leaders, innovators, and advocates can take to engage… Read More »
Part 1 of this two-part series laid out arguments for and shortcomings of imputing race/ethnicity from the perspective of health equity. In this post, we’ll talk about gaps in the evidence and a few alternatives to imputation, including approaches involving population-level and neighborhood-level data. Imputation is a common solution to deal with “the missing-data problem.”… Read More »
In Part 1 of this two-part series (originally published Aug. 19, 2021), we lay out arguments for and shortcomings of imputing race/ethnicity from the perspective of health equity. In Part 2, we’ll talk about evidence gaps and research needed, as well as a few alternative approaches. The Biden administration is focusing on health equity and… Read More »
Randomized control trials are the commonly held gold standard clinical trial design. The randomized controlled trial (RCT) is the gold standard of clinical research. However, researchers are increasingly asking: must they be? Webster-Clark, Jonsson Funk, and Stürmer discussed single-arm trials: administering a drug to an experimental group and using real-world data (RWD) to select an… Read More »
White paper, grey literature, black box warning. The nature of our medical research, presentation, reporting, and publication has defined the values associated with colors. A white paper is defined as an “authoritative” report on a subject. Grey literature is described as being “non-conventional, fugitive, and sometimes ephemeral.” And a “black box” warning alerts physicians and… Read More »
The United States is currently experiencing multiple, simultaneous epidemics that claim thousands of lives every week. According to the CDC, over 81,000 drug overdose deaths occurred between June 2019 and May 2020. That’s the highest number of overdose deaths ever recorded in a 12-month period. An estimated 93,000 Americans die annually from alcohol-related causes. Many… Read More »
The inequitable distribution of COVID-19’s terrible burden has been well documented. There are notable disparities by race and ethnicity. COVID-19 rates, including incidence and fatality rates, are higher among Black, Indigenous, and other Persons of Color (BIPOC). This is structural racism at its worst, in which BIPOC individuals are disproportionately represented among essential workers and… Read More »
COVID-19 has exposed the cracks in the foundation of America’s rural community health system. These cracks include increased risk of facility closures, loss of services, low investment in public health, maldistribution of health professionals, and payment policies ill-suited to low-volume rural providers. As a result, short-term relief to stabilize rural health systems and long-term strategies… Read More »
What are the potential impacts of COVID-19 on health care utilization? How will changes in healthcare use impact quality measures? Researchers are asking many key questions to understand the impacts of COVID-19. It is clear that trends in healthcare use are changing. These changes will likely affect quality measure scores in the future. This is… Read More »
Successfully implementing an intervention within a complex service delivery system requires multiple, inter-related adoption strategies. The Veterans Administration’s (VA) renewed emphasis on Hepatitis C treatment offered a perfect opportunity to study which strategies worked. In this post, I will review those findings. Then, I will discuss the importance of accounting for the complexity of strategy… Read More »
Over the past two decades, research has helped identify ways to reduce complications among people with diabetes and laid the foundation for primary prevention. However, prevention and treatments are still unequally applied, and social, economic, and age-related disparities persist. The June 2020 supplement issue of Medical Care argues for and presents the results of natural… Read More »
Our neighbors who are experiencing homelessness during this SARS-COV-2 pandemic are facing unique risks and extreme hardships. In the corner of American society almost defined by economic and racial disparities, COVID-19 has compounded and taken advantage of these long-standing vulnerabilities. An outsized burden of risk factors for COVID-19 compound the risks of crowded shelters and… Read More »
In early April, President Trump, in his daily press briefing, told Americans to take the drug hydroxychloroquine, calling it a “game changer” for people with COVID-19: “I really think they should take it. But it’s their choice. And it’s their doctor’s choice or the doctors in the hospital. But hydroxychloroquine. Try it, if you’d like.”… Read More »
With the current focus on social risk factors (SRFs) affecting health care, it is not surprising that methods for comparing hospital performance might do well to account for such factors in their assessment. If up to 70 percent of health outcomes are driven by factors beyond medical care, and measures used to compare hospitals focus… Read More »
An October 2019 Medical Care supplement describes a learning health care system: the VA Evidence Synthesis Program (ESP). The ESP is dedicated to making high-quality evidence accessible to improve health and healthcare for veterans. The articles in the issue describe the outcomes from integrating research synthesis with qualitative and quantitative data from health systems. These… Read More »
The codes of the International Classification of Diseases (ICD) serve as the backbone for billing, payment, and surveillance programs across the entire healthcare system – nationally and globally. Recent research published in Medical Care by Alexander Mainor and colleagues from the Dartmouth Institute for Health Policy & Clinical Practice has shown that the transition of… Read More »
Patients want to be healthy. They want to live longer, function better and have higher wellbeing. How patients feel is best measured by asking them. Few cancer patients these days have not been asked to fill out standardized questionnaires about their symptoms, functioning, and well-being. While these patient-reported outcomes (PROs) are not new to healthcare… Read More »
Why do we care about unintended pregnancies? Rates of unintended pregnancy “indicate the extent to which women and couples can determine freely whether and when they have children,” as stated by Finer and Zolna. There is some evidence that women and girls who have unintended pregnancies have a higher likelihood of other risk factors, such as… Read More »
This post is for the measurement methodologists in the house. Although, the study results have a real impact for anyone reading macro-level studies of health care services and economics. Sure, this is a bit of inside baseball, but it involves a fundamentally important issue at the center of healthcare research and policy that relies on… Read More »
Patients are increasingly involved in shaping research in health care, especially since the advent of the federal Patient-Centered Outcomes Research Institute (PCORI). PCORI actively promotes the engagement of patients and other stakeholders (clinicians, caregivers, purchasers, etc.) in the research process. As we discussed in an earlier entry on this blog, research terminology alone can be a… Read More »
Engaging patients and families in their care has been a longstanding goal for quality improvement. Engaging patients and communities in research is an emerging field of work and collaboration, and a recent Medical Care article discusses some similarities and differences between engaging patients and communities. Why do we engage communities and patients in research? To create… Read More »
Medication non-adherence can be a tricky issue for healthcare providers, patients, and pharmacists to solve. In addition to cost, there are many other factors that influence whether someone takes their medication(s) as prescribed. As discussed in the literature, side effects, confusion about medications, and the general human tendency to forget may all play a role.… Read More »
In many situations, randomized controlled trials are infeasible and one must draw conclusions from observational data. Certain quasi-experimental designs – for example, interrupted time series analyses – strengthen the conclusions that can be drawn from observational data. However, particularly when the intervention evaluated is important, either clinically or from a health policy perspective, implied or… Read More »
“A graduate student was threatened with a lawsuit and retraction of a published paper unless she paid thousands of dollars and signed a retroactive license for having used a measure without paying the fee.” This example was one of the motivating factors for a recent Medical Care commentary by Dr. Ron Hays and colleagues. The commentary… Read More »
Medication is an essential aspect of tertiary prevention, as it often addresses symptoms, may restore function, and minimizes adverse consequences associated with chronic conditions. Medication adherence is most often studied in the context of Medicare Part D. In a newly published Medical Care article, Drs. Roebuck, Kaestner, and Dougherty, instead measure the associations between medication… Read More »
Bias in claims data with respect to disease status is a problem for health services researchers, because we often rely on administrative claims (billing data) to measure disease status for large cohorts. Misclassification bias may alter the prevalence of given conditions–which is especially problematic for epidemiology and comparative effectiveness research. It may even alter the… Read More »
One of the challenges in delivering efficient medical care is identifying people who are at risk of a negative outcome, so we can focus our efforts on screening and treating those at elevated risk. We do this in individual face-to-face encounters through clinical, diagnostic processes: taking a patient’s history, performing a physical examination, recording signs… Read More »
Recently, I sat down to talk with Arlene Ash, PhD about risk adjustment. Dr. Ash is Professor and Chief of the Division of Biostatistics and Health Services Research, Department of Quantitative Health Sciences at the University of Massachusetts Medical School. As a methods expert on risk adjustment in health services research, she has pioneered tools… Read More »
Medical claims data are collected for payment purposes. However, these data are often used for other purposes such as studying quality of care, assessing provider performance, and measuring health. These data are a rich resource for health services research, but when they do not include key pieces of information we can find ourselves bending over… Read More »
This post is the final one in our 4-part series focusing on presentations that were delivered at a special panel session at APHA16 on the childhood roots of health inequity [part 1, part 2, part 3]. Our fourth presenter, Dr. Jennifer Manly, is Associate Professor of Neuropsychology in Neurology at the Gertrude H. Sergievsky Center and the… Read More »
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 »