Year One of Medicare’s MIPS Program
The Merit-based Incentive Payment System (MIPS)—Medicare’s largest pay-for-performance program—has stoked controversy since its passage in 2015, with numerous groups calling for its repeal.
These Key Telehealth Policy Changes Would Improve Buprenorphine Access While Advancing Health Equity
[Original post: Utsha Khatri, Corey S. Davis, Noa Krawczyk, Michael Lynch, Justin Berk, Elizabeth A. Samuels, These Key Telehealth Policy Changes Would Improve Buprenorphine Access While Advancing Health Equity, Health Affairs Blog, September 11, 2020. https://www.healthaffairs.org/do/10.1377/hblog20200910.498716/full/. Copyright ©2020 Health Affairs by Project HOPE – The People-to-People Health Foundation, Inc.]
Estimating COVID Intervention Effectiveness with 'Censored' Testing
LDI/Wharton-USC Collaborative Plays Key Role in Greece's COVID-19 Response
COVID-19 and Cardiovascular Telemedicine Care
While COVID-19 has created unprecedented challenges for the U.S. health care system, it has also accelerated innovation, including the use and adoption of telemedicine.
Raina Merchant Wins SAEM Mid-Career Investigator Award
Foster Youth Experience Higher Health Care Utilization & Higher Mortality. How Can Data Help?
[cross-posted from CHOP PolicyLab]
Every medical diagnosis is built upon history—the history of current symptoms, past symptoms and, ideally, a complete and detailed medical history. For children in foster care, this information is often minimal, or in some cases completely absent.
Already in Fiscal Crisis, Rural Hospitals Face COVID-19
COVID-19 Boosts Deployment of Technology-Enabled Remote Health Care Delivery Systems
Spoken Words as Biomarkers: Using Machine Learning to Gain Insight into Communication as a Predictor of Anxiety
George Demiris, Kristin L. Corey Magan, Debra Parker Oliver, Karla T. Washington, Chad Chadwick, Jeffrey D. Voigt, Sam Brotherton, Mary D. Naylor
Abstract [from journal]
Objective: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.
Materials and Methods: We used a secondary data set generated by a clinical trial examining problem-solving therapy for hospice caregivers consisting of 140 transcripts of multiple, sequential conversations between an interviewer and a family caregiver along with standardized assessments of anxiety prior to
...Modeling the Deaths vs. Jobs Tradeoffs of COVID Lockdown Policy Options
Remote Monitoring of Medication Adherence and Patient and Industry Responsibilities in a Learning Health System
Junhewk Kim, Austin Connor Kassels, Nathaniel Isaac Costin, Harald Schmidt
Abstract [from journal]
A learning health system (LHS) seeks to establish a closer connection between clinical care and research and establishes new responsibilities for healthcare providers as well as patients. A new set of technological approaches in medication adherence monitoring can potentially yield valuable data within an LHS, and raises the question of the scope and limitations of patients' responsibilities to use them. We argue here that, in principle, it is plausible to suggest that patients have a prima facie obligation to use novel adherence monitors. However,
...A Pragmatic Randomized Trial of Cardiopulmonary Resuscitation Training for Families of Cardiac Patients Before Hospital Discharge Using a Mobile Application
Audrey L. Blewera, Mary E. Putt, Shaun K. McGovern, Andrew D. Murray, Marion Leary, Barbara Riegel, Judy A. Shea, Robert A. Berg, David A. Asch, Anthony J. Viera, Raina M. Merchant, Vinay M. Nadkarni, Benjamin S...
Abstract [from journal]
Aim of the Study: Since over 80% of sudden cardiac arrests occur in the home, cardiopulmonary resuscitation (CPR) training for family members of high-risk cardiac patients represents a promising intervention. The use of mobile application-based (mApp) CPR training may facilitate this approach, but evidence regarding its efficacy is lacking.
Methods: We conducted a multicenter, pragmatic, cluster-randomized trial assessing CPR training for family members of cardiac patients. The interventions were mApp (video,
...Inside the Pandemic's Most Deadly Targets: Nursing Homes
The Influence of Peer Beliefs on Nurses' Use of New Health Information Technology: A Social Network Analysis
Christina T. Yuan, Ingrid M. Nembhard, Gerald C. Kane
Abstract [from journal]
Implementation of health information technology fails at an alarming rate because intended users often choose not to use it. Implementation theory and frameworks suggest that social networks may influence individuals' use, but empirical study remains limited. Furthermore, neither theory nor research has identified whose beliefs within the network matter most for implementation. We examine the relationship between an individual's system use and the beliefs of his or her peers. We assess the relationship for two peer groups: the entire group of peers
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