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Funded by National Institutes of Health

Funding Years: 2015-2020

This project represents a collaboration across the Health and Retirement Study (HRS) international partner studies with the aim of developing a harmonized diagnostic assessment protocol for dementia and cognitive impairment without dementia (CIND), to be used in the ongoing, nationally representative Longitudinal Aging Survey in India (LASI). We propose to develop this diagnostic assessment protocol by first linking doctor diagnosis in a sample of patients at four geriatric hospitals in India to two dementia test protocols ? the HRS Harmonized Cognitive Assessment Protocol (HCAP) and the 10/66 Community Screening Interview for Dementia (CSI-D) ? and cognition tests from the LASI core survey. We will then examine the data generated at this first stage to develop an adaptive test protocol to be used for the in-home assessment of dementia and CIND, contingent on subjects? performance on the LASI core cognitive tests. The proposed supplemental study to the ongoing representative, longitudinal LASI study will enable the investigation of dementia and CIND in a nationally representative sample of older Indians. The two-stage development of an adaptive test protocol will ensure both the clinical accuracy of diagnosis and community-level representation, not bound by accessibility to health care. Integrating the new data with the rich data from the main LASI study will enable the estimation of economic and care giving burden associated with cognitive decline among older adults in India.

PI: Kenneth Langa

PIHCD: Sarah Alvarez

Thu, November 05, 2015, 2:00pm
Location: 
B004E NCRC Building 16

Sarah Alvarez, a fellow at Stanford and formerly of Michigan Radio, will  present her work on creating a news product that can meet the information needs of low-income news consumers. Specifically her focus is on how to use data to discover which issues or systems information gaps exist for low-income news consumers and once the gaps are identified how the information should be presented to help people understand the information and use it to make decisions.

If you plan to attend this meeting please e-mail Nicole Exe at nexe@umich.edu by Monday November 2. If you decide to attend after that date you are still welcome and do not need to e-mail.

Funded by National Institutes of Health

Funding Years: 2015-2020

Deaf American Sign Language (ASL) users are nearly seven times more likely to have inadequate health literacy when compared with their hearing peers. This population is the non-English speaking minority group at greatest risk for miscommunication in health care settings. Health literacy mechanisms for deaf individuals remain poorly understood, thereby limiting interventions to address health literacy disparities and their impact on health care. It is unclear how differences in attitudes, knowledge, and skills related to health information affect health literacy in deaf populations and how they may contribute to ongoing health inequities. The two primary objectives of this proposal are: 1) to elucidate the role of information marginalization on health literacy in Deaf American Sign Language (ASL) users and 2) to better understand the mechanisms of health literacy in this population so as to identify viable targets for future health literacy intervention development. This proposal is responsive to PAR-10-133's request for studies that assess mechanisms underlying health literacy, including roles of cognition, culture, language fluency, and information-seeking and interpretation ability in the deaf population and, how these may differ from the hearing population. To meet the study objectives, we will employ an explanatory sequential mixed methods design using extensive quantitative data collection procedures, namely, cross-sectional surveys and measures that will identify predictors and moderators of health literacy with 450 deaf and 450 hearing subjects across three geographically diverse sites. These results will inform the subsequent qualitative assessment that will help explain the quantitative results, and elucidate how and why deaf individuals access and understand health information. We will incorporate cutting edge technology to assess health information-seeking and interpretation patterns in this population, in addition to using a variety of validated and ASL-accessible instruments to assess health literacy and other constructs related to health literacy. The diverse team, consisting of both leading deaf and hearing researchers, provides a unique insight into how health information is distributed and disseminated visually. This approach has the potential to generate rich data on how to formulate health information and health literacy interventions for individuals with hearing loss.

PI(s): Michael McKee

Co-I(s): Lorraine Buis, Michael Fetters, Ananda Sen

Funded by National Institutes of Health; National Institute on Aging

Funding Years; 2011-2016

A cornerstone of the nation's social science research infrastructure, the Panel Study of Income Dynamics (PSID) is a longitudinal survey of a nationally representative sample of U.S. families. Begun in 1968, 36 waves of data have now been collected on PSID families and their descendents. Its long-term measures of economic and social wellbeing have spurred researchers and policy makers to attend to the fundamental dynamism inherent in social and behavioral processes. The PSID is increasingly being used to answer innovative social and behavioral research questions in the context of an aging society. This application proposes to collect, process, and disseminate three modules in the 2013 and 2015 waves of the PSID: 1. Health module: Including 15 minutes of survey questions on health status, health behaviors, health insurance coverage & health care costs. Linkages to the National Death Index and Medicare will be extended; 2. Wealth module: Including 10 minutes of survey questions on wealth, active savings, and pensions. Linkage to Social Security earnings and benefits records for active sample and decedents will be undertaken for the first time, and a new module to minimize errors in reports of wealth changes will be developed and implemented; and 3. Wellbeing module with related psychosocial measures: We will design and implement a mixed-mode (web/mail out) questionnaire to collect content from both respondents and spouses about their wellbeing and related psychosocial measures (e.g., personality, intelligence), with an experiment to identify (and allow researchers to adjust for if necessary) mode effects. After collection, the data will be processed and distributed in the PSID Online Data Center, which will allow users to create customized extracts and codebooks using a cross-year variable index.

PI(s): Robert Schoeni

Co-I(s): Charles Brown, James House, Mick Couper

Michael Volk, MSc, MD

Alumni

Michael Volk was an Assistant Professor of Medicine in the Division of Gastroenterology and Hepatology at the University of Michigan. His clinical practice focuses on the care of patients with liver disease, including those undergoing liver transplantation and those with hepatocellular carcinoma. His research interests focus on the ethics of resource allocation, patient and physician decision making, and chronic disease management. In particular, he has conducted a series of studies designed to improve the way decisions are made about using high risk liver transplant organs.

Last Name: 
Volk
Mon, January 06, 2014

Dr. Reshma Jagsi worked on a study detailing the decline of US research spending versus the increase in spending in Japan and China. In the UMHS article, she says, "The United States has long been a world leader in driving research and development in the biomedical science. It's important to maintain that leadership role because biomedical research has a number of long term downstream economic benefits, especially around job creation," 

Research Topics: 

CBSSM Seminar: Jacob Solomon, PhD

Thu, November 19, 2015, 3:00pm to 4:00pm
Location: 
NCRC, Building 16, Room 266C

Jacob Solomon, PhD


CBSSM Postodoctoral Fellow

Title:

Designing the information cockpit: The impact of customizable algorithms on computer-supported decision making

Abstract:

Intelligent systems that provide decision support necessitate interaction between a human decision maker and powerful yet complex and often opaque algorithms. I will discuss my research on end-user control of these algorithms and show that designing highly customizable decision aids can make it difficult for decision makers to identify when the system is giving poor advice.

Mon, October 19, 2015

Beth Tarini is lead author on study published in the Journal of Pediatrics that found that few primary care physicians say they would order genetic testing or refer a child to a genetics specialist as a first step when they see children with two or more developmental delays, despite the higher risk of genetic disorders in these children.

Brian Zikmund-Fisher and Wendy Uhlmann are also co-authors.

Citation:

Tarini, Beth A., Brian J. Zikmund-Fisher, Howard M. Saal, Laurie Edmondson, and Wendy R. Uhlmann. "Primary Care Providers' Initial Evaluation of Children with Global Developmental Delay: A Clinical Vignette Study." The Journal of Pediatrics.

Research Topics: 

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