May 8, 2017
Arteric Technology Utilized in Hypertension Medication Adherence Study at Baylor College of Medicine
OnTimeRx® Automated Reminder Service Tested in Stroke Prevention Program Targeting African-American Women
Arteric is a digital agency, but ultimately, we’re in the life extension business. By blending exceptional software development skills with healthcare marketing expertise, we help brands and healthcare organizations connect patients, caregivers and healthcare professionals with the health information and tools they need to live longer, healthier lives.
Susan Torrico, a career pharmacist and medication-adherence pioneer, is also in the life extension business. In 2000, after watching too many patients lose their transplanted organs because they didn’t follow their anti-rejection treatment regimens, Susan began experimenting with mobile technology as a method to improve medication adherence. As Susan explains, “It was devastating seeing so many people, especially teens, miss out on an opportunity for a healthier life simply because they didn’t take their medication. At that point, I developed the concept that became OnTimeRx®.”
In 2005, Arteric teamed up with Susan to develop the OnTimeRx® Automated Reminder Service — mobile technology that provides Web-based reminder-scheduling and notification messages that are delivered by text message, phone call or email. The Automated Reminder Service is the most recent addition to the OnTimeRx® adherence software collection, which include apps for the iPhone® and iPad®, for Android smartphones, and for Windows® desktop computers. These software apps provide reminders in the form of alarm sounds and/or on-screen notices as an alternative to text messages, phone calls or email.
We’re very interested in determining if the automated phone and email reminders sent by OnTimeRx® improve medication adherence in this at-risk population. Preliminary results from a very small patient population look promising.
In addition to transplant patients, OnTimeRx® technology has been applied in adherence studies involving HIV treatment in young people. It was inspiring to learn that OnTimeRx® software is now being evaluated in a population at risk for hypertension.1 African-American women are more prone to hypertension than non-African Americans — 47.5% vs 28%.2,3 Medication non-adherence can cause these women to develop a decreased threshold for stroke development or an increased progression of cardiovascular disease.
To address this issue, researchers at the Baylor College of Medicine are implementing the OnTimeRx® Automated Reminder Service in a pilot study investigating the efficacy of smartphone-based services to improve medication adherence.4 The study is funded by The Lone Star Stroke Consortium, which is a Texas-based collaboration of major stroke centers, and the Texas Nursing Association-District 9.
Study researcher Vanessa Monroe, Clinical Assistant Professor at Prairie View A&M University College of Nursing and PhD Candidate at Texas Woman’s University-Houston, shared these thoughts with us. “We’re very interested in determining if the automated phone and email reminders sent by OnTimeRx® improve medication adherence in this at-risk population.” Vanessa continued, “Preliminary results from a very small patient population look promising. We’re in the midst of adding more patients to the study.”
We’ll keep you informed about Vanessa’s progress, because non-adherence remains a vexing challenge, with rates ranging from 30% to 60% depending on the condition, the treatment, the patient and the setting.4 Medication error rates are just as worrisome — 20% to 80% of patients make mistakes and up to 60% of patients stop their medication too soon.4 Non-adherence also creates an economic burden. The cost of drug-related morbidity and mortality in the ambulatory setting in the United States has been estimated to be as high as $136 billion.5
Nonadherence has many contributing factors, and so presents a moving target. But mobile communication technology is continually evolving, and we’re evolving our platforms and extending OnTimeRx® functionality to help patients and healthcare providers meet the challenge.
SOFTWARE SOLUTIONS — FROM APPS TO ENTERPRISE
Arteric connects patients, caregivers, and healthcare professionals to the health information they need to live longer, healthier lives. We achieve this by finding and filling unmet needs with intuitive well designed technologies. However needs change and technology evolves, count on Arteric to combine infinite curiosity, what if? thinking and unstoppable software expertise to develop life-changing custom mobile apps and out-of-the-box-ready enterprise solutions for pharma, biotech and life science marketers and the people that they help
For information about OnTimeRx® products, contact Jon Fisher at 201.558.7929.
For information about the clinical trial, contact Vanessa Monroe at 832.971.8682.
iPhone and iPad are trademarks of Apple Inc., registered in the U.S. and other countries.
OnTimeRx is a registered trademark of Arteric.
Windows is a trademark of Microsoft Corporation
Android is a trademark of Google Inc.
- Monroe V, Dello Stritto R, Langford R, Young A. (2017). Texas Woman’s University-Houston. Testing a Smartphone Application Intervention to Improve Medication Adherence in African American Female Clinic Patients with Unstable High Blood Pressure: A Two Group Randomized Control Trial. Presented at the Southern Nurse Research Society Symposium. Dallas, Texas.
- Taylor J, Peternell B, Smith J. (2013). Attitudes toward genetic testing for hypertension among African American women and girls. Nurs Res Pract. 2013;2013:341374. doi:10.1155/2013/341374
- Still C, Craven T, Freedman B, et al. (2015). Baseline characteristics of African Americans in the systolic blood pressure intervention trial. J Am Soc Hypertens. 2015;9(9), 670-679. doi:10.1016/j.jash.2015.06.012
- Gottlieb H. Medication Nonadherence: Finding Solutions to a Costly Medical Problem. Medscape. Available at http://www.medscape.com/viewarticle/409940_6. Accessed May 3, 2017.
- Johnson J, Bootman J. (1995) Drug-related morbidity and mortality. A cost-of-illness model. Arch Intern Med (18):1949-56.