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- Albert, Elizabeth L1
- Bailey, Steffani R1
- Batki, Steven L1
- Bellinger, Christina1
- Boykan, Rachel1
- Buman, Matthew P1
- Cadmus-Bertram, Lisa1
- Carmody, Timothy1
- Case, Doug1
- Chavez, Sarah Y1
- Chunara, Rumi1
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- Duke, Kyle A1
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- Gopalan, Anjali1
- Gorzkowski, Julie1
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- Herbst, Ellen1
- Hsueh, Loretta1
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Health Information Technology
These articles focus on how health promotion and disease prevention are shaped by the use of information and technology; topics include digital health interventions, information management, safe data exchange, and issues around electronic medical records.
8 Results
- Research Brief
Video Telehealth Access and Changes in HbA1c Among People With Diabetes
American Journal of Preventive MedicineVol. 62Issue 5p782–785Published online: December 7, 2021- Ilana Graetz
- Jie Huang
- Emilie R. Muelly
- Loretta Hsueh
- Anjali Gopalan
- Mary E. Reed
Cited in Scopus: 0Video telehealth can offer people convenient, real-time access to clinicians without arranging transportation or time off work. Among people with diabetes, this study examines the association between video telehealth access and changes in HbA1c. - Research Brief
Characteristics of Patients Engaging in Quitline Counseling After an Electronic Referral
American Journal of Preventive MedicineVol. 61Issue 4e191–e195Published online: June 13, 2021- Susan A. Flocke
- Elizabeth L. Albert
- Steven A. Lewis
- Eileen L. Seeholzer
- Steffani R. Bailey
Cited in Scopus: 0Proactive, electronic referral of primary care patients to quitlines has great potential to provide evidence-based tobacco-cessation assistance to tobacco users. However, the quitline contact rates and engagement of individuals beyond 1 counseling call are poor. This study examines the characteristics of electronically referred patients who engage with the quitline. - Short communicationOpen Access
A Pilot Study Examining the Efficacy of Delivering Colorectal Cancer Screening Messages via Virtual Health Assistants
American Journal of Preventive MedicineVol. 61Issue 2p251–255Published online: April 19, 2021- Janice L. Krieger
- Jordan M. Neil
- Kyle A. Duke
- Mohan S. Zalake
- Fatemeh Tavassoli
- Melissa J. Vilaro
- and others
Cited in Scopus: 8Patients are more likely to complete colorectal cancer screening when recommended by a race-concordant healthcare provider. Leveraging virtual healthcare assistants to deliver tailored screening interventions may promote adherence to colorectal cancer screening guidelines among diverse patient populations. The purpose of this pilot study is to determine the efficacy of the Agent Leveraging Empathy for eXams virtual healthcare assistant intervention to increase patient intentions to talk to their doctor about colorectal cancer screening. - Topics in Education
Pediatric Resident Training in Tobacco Control and the Electronic Health Record
American Journal of Preventive MedicineVol. 60Issue 3p446–452Published online: October 29, 2020- Rachel Boykan
- Julie Gorzkowski
- Robert J. Wellman
- Brian P. Jenssen
- Jonathan D. Klein
- Jessica Krugman
- and others
Cited in Scopus: 1Given the dangers posed by tobacco use and tobacco smoke exposure, pediatricians should address tobacco use and exposure with patients and parents at every opportunity, but this is not consistently done in practice. One reason may be that many medical residents do not receive education on how to address tobacco use and tobacco smoke exposure with patients and their parents. In a 2012 survey of U.S. pediatric program directors, 65% of programs reported covering tobacco control in their curricula, but most training programs focused on tobacco's health effects and not intervention strategies for clinical practice. - Research Brief
A Comparison of Smoking History in the Electronic Health Record With Self-Report
American Journal of Preventive MedicineVol. 58Issue 4p591–595Published online: January 22, 2020- Nikhil Patel
- David P. Miller Jr.
- Anna C. Snavely
- Christina Bellinger
- Kristie L. Foley
- Doug Case
- and others
Cited in Scopus: 6Knowing patients’ smoking history helps guide who may benefit from preventive services such as lung cancer screening. The accuracy of smoking history electronic health records remains unclear. - CURRENT ISSUES
Wearable Technology and Physical Activity in Chronic Disease: Opportunities and Challenges
American Journal of Preventive MedicineVol. 54Issue 1p144–150Published online: November 6, 2017- Siobhan M. Phillips
- Lisa Cadmus-Bertram
- Dori Rosenberg
- Matthew P. Buman
- Brigid M. Lynch
Cited in Scopus: 57Increased physical activity (PA) is associated with the prevention and delayed onset of many noncommunicable chronic conditions, such as heart disease, diabetes, and cancer, and health benefits, for example reduced risk of disease progression, secondary chronic conditions, and mortality, for individuals with chronic conditions.1 PA is also associated with reduced cognitive dysfunction and functional limitations and enhanced mental health and quality of life.2 Thus, identifying strategies to increase activity in high-risk individuals, as in those with at least one major risk factor, and those with chronic conditions remains a priority. - Brief Report
Mobile Technology for Treatment Augmentation in Veteran Smokers With Posttraumatic Stress Disorder
American Journal of Preventive MedicineVol. 54Issue 1p124–128Published online: October 23, 2017- Ellen Herbst
- David Pennington
- Eric Kuhn
- Shannon E. McCaslin
- Kevin Delucchi
- Steven L. Batki
- and others
Cited in Scopus: 8The purpose of this study is to examine the feasibility and acceptability of incorporating a mobile application, Stay Quit Coach, into an integrated care smoking-cessation treatment protocol for veterans with posttraumatic stress disorder (PTSD). - CURRENT ISSUESOpen Access
Denominator Issues for Personally Generated Data in Population Health Monitoring
American Journal of Preventive MedicineVol. 52Issue 4p549–553Published online: December 22, 2016- Rumi Chunara
- Lauren E. Wisk
- Elissa R. Weitzman
Cited in Scopus: 18Widespread use of Internet and mobile technologies provides opportunities to gather health-related information to complement data generated through traditional healthcare and public health systems. These personally generated data (PGD) are increasingly viewed as informative of the patient experience of conditions, symptoms, treatments, and side effects.1 Behavior, sentiment, and disease patterns can be discerned from mining unstructured PGD in text, image, or metadata form, and from analyzing PGD collected via structured, opt-in, and web-enabled platforms and devices, including wearables.