Willingness of Patients to Use Computers for Health Communication and Monitoring Following Myocardial Infarction.

Abstract

We describe the computer use characteristics of 406 post-myocardial infarction (MI) patients and their willingness to engage online for health communication and monitoring. Most participants were computer users (n = 259; 63.8%) and half (n = 209; 51.5%) read health information online at least monthly. However, most participants did not go online to track health conditions (n = 283; 69.7%), look at medical records (n = 287; 70.7%), or e-mail doctors (n = 351; 86.5%). Most participants would consider using a Web site to e-mail doctors (n = 275; 67.7%), share medical information with doctors (n = 302; 74.4%), send biological data to their doctor (n = 308; 75.9%), look at medical records (n = 321; 79.1%), track health conditions (n = 331; 81.5%), and read about health conditions (n = 332; 81.8%). Sharing health information online with family members (n = 181; 44.6%) or for support groups (n = 223; 54.9%) was not of much interest. Most post-MI participants reported they were interested in communicating with their provider and tracking their health conditions online. Because patients with a history of MI tend to be older and are disproportionately minority, researchers and clinicians must be careful to design interventions that embrace post-MI patients of diverse backgrounds that both improve their access to care and health outcomes.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1097/cin.0000000000000175

Publication Info

Shaw, Ryan J, Leah L Zullig, Matthew J Crowley, Steven C Grambow, Jennifer H Lindquist, Bimal R Shah, Eric Peterson, Hayden B Bosworth, et al. (2015). Willingness of Patients to Use Computers for Health Communication and Monitoring Following Myocardial Infarction. Computers, informatics, nursing : CIN, 33(9). pp. 384–389. 10.1097/cin.0000000000000175 Retrieved from https://hdl.handle.net/10161/29952.

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Scholars@Duke

Shaw

Ryan Shaw

Associate Professor in the School of Nursing

Ryan Shaw serves as the Chief Nurse Innovation Officer for Duke University Health System. By leveraging technology and evidence-based practices, he identifies opportunities to empower nurses to thrive as changemakers, addressing healthcare delivery challenges, improving patient outcomes, and enhancing efficiency.

In his faculty role at the Duke University School of Nursing, he leads research teams focused on digital health and healthcare innovation, while also mentoring students to become the next generation of health scientists and clinicians.

Zullig

Leah L Zullig

Professor in Population Health Sciences

Leah L. Zullig, PhD, MPH is a health services researcher and an implementation scientist. She is a Professor in the Duke Department of Population Health Sciences and an investigator with the Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT) at the Durham Veterans Affairs Health Care System. Dr. Zullig leads INTERACT, the Implementation Science Research Collaborative, and is co-leader of Duke Cancer Institute's cancer prevention and control program.

Dr. Zullig’s overarching research interests address three domains: improving cancer care delivery and quality; promoting cancer survivorship and chronic disease management; and improving medication adherence. Throughout these three area of foci Dr. Zullig uses an implementation science lens with the goal of providing equitable care for all by implementing evidence-based practices in a variety of health care environments. She has authored over 200 peer-reviewed publications. 

Dr. Zullig completed her BS in Health Promotion, her MPH in Public Health Administration, and her PhD in Health Policy.

Areas of expertise: Implementation Science, Health Measurement, Health Policy, Health Behavior, Telehealth, and Health Services Research

Crowley

Matthew Janik Crowley

Associate Professor of Medicine

Diabetes, Hypertension, Health Services Research

Grambow

Steven C. Grambow

Associate Professor of Biostatistics & Bioinformatics

I am an academic statistician with a focus on educational leadership and administration, teaching, mentoring, and collaborative clinical research. I serve as the director of multiple education programs, both formal degree programs and certificate-based training programs. I also provide administrative oversight of multiple graduate degree programs and educational initiatives focusing on clinical and translational science workforce development at the student, staff, and faculty levels.

I have many years of experience with in-person and online teaching across a variety of teaching venues (formal degree programs, domestic and international certificate-based training programs, faculty development seminars, residency/fellowship training programs) and health sciences audiences (medical students, residents, fellows, faculty, and other health professionals), including more than 21 years as a statistics course director in the Duke Clinical Research Training Program.

As a collaborative scientist I have experience with a broad range of clinical research areas and clinical research designs, including observational studies, epidemiology investigations, and randomized clinical trials, including those utilizing web, mobile, and telemedicine-based health behavior interventions. I have collaborated on projects spanning a broad range of clinical research areas, including amyotrophic lateral sclerosis (ALS), post-traumatic stress disorder (PTSD), Prader-Willi syndrome (PWS), prostate cancer, quality of colorectal cancer care, osteoarthritis, lifestyle modification through weight loss, CVD risk reduction through hypertension control, smoking cessation, and substance abuse recovery.


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