Penn Nursing's Mobile App Targets HPV Vaccination Gap
Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic
Lauren A. Eberly, Michael J. Kallan, Howard M. Julien, Norrisa Haynes, Sameed Ahmed M. Khatana, Ashwin S. Nathan, Christopher Snider, Neel P. Chokshi, Nwamaka D. Eneanya, Samuel U. Takvorian, Rebecca Anastos-Wallen, Krisda Chaiyachati...
Abstract [from journal]
Importance: The coronavirus disease 2019 (COVID-19) pandemic has required a shift in health care delivery platforms, necessitating a new reliance on telemedicine.
Objective: To evaluate whether inequities are present in telemedicine use and video visit use for telemedicine visits during the COVID-19 pandemic.
Design, Setting, and Participants: In this cohort study, a retrospective medical record review was conducted from March 16 to May 11, 2020, of all patients scheduled for...
Retrospective Development of a Novel Resilience Indicator Using Existing Cohort Data: The Adolescent to Adult Health Resilience Instrument
Diana Montoya-Williams, Molly Passarella, Scott A. Lorch
Abstract [from journal]
Background: Cohort studies represent rich sources of data that can be used to link components of resilience to a variety of health-related outcomes. The Adolescent to Adult Health (Add Health) cohort study represents one of the largest data sets of the health and social context of adolescents transitioning into adulthood. It did not however use validated resilience scales in its data collection process. This study aimed to retrospectively create and validate a resilience indicator using existing data from the cohort
...How Machine Learning-Based Nudges Can Improve Cancer Care
For patients with cancer, serious illness conversations (SICs)—structured conversations about prognosis, goals, and wishes—can reduce depression and anxiety, improve quality of life, and avoid unnecessary acute care utilization.
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
Modeling the Deaths vs. Jobs Tradeoffs of COVID Lockdown Policy Options
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
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