Consumer Health Informatics Interventions Must Support User Workflows, Be Easy-To-Use, and Improve Cognition: Applying the SEIPS 2.0 Model to Evaluate Patients’ and Clinicians’ Experiences with the CONDUIT-HID Intervention

ABSTRACT

The aim of this research was to gain a holistic understanding of patients’ and clinicians’ experiences with the CONDUIT-HID (CONtrolling Disease Using Inexpensive Technology—Hypertension In Diabetes) intervention, intended to be a technology-enabled consumer health informatics (CHI) approach to control hypertension. We examined patients’ experiences utilizing the technologies to share patient blood pressure data with their care team via a qualitative analysis of patient (n = 21) and clinician (n = 5) interviews. Using the SEIPS 2.0 sociotechnical systems model, our evaluation revealed that minimizing usability issues and supporting participant workflow were important—but not sufficient—for CHI intervention success. The ability of the CHI intervention to support the cognitive development of patients’ self-management skills and to facilitate strategic collaboration among care team members was also important. These insights can provide CHI and the human–computer interaction (HCI) communities with a framework of generalizable findings to better design future CHI interventions.

Acknowledgments

The authors are thankful to Melissa Johnson, a Health Sciences Librarian at Northern Arizona University’s Phoenix Biomedical Campus, for supporting our literature search and providing feedback for the preparation of the article.

Declaration of interest

None.

Funding

This work was supported by the Agency for Healthcare Research and Quality under grant [R18 HS18461-01A1].

Additional information

Funding

This work was supported by the Agency for Healthcare Research and Quality under grant [R18 HS18461-01A1].

Notes on contributors

Vanessa I. Martinez

Vanessa I. Martinez is a research assistant with the Decision-Making and Behavior Lab in the department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst. She received a BSE in Electrical Engineering from Arizona State University.

Jenna L. Marquard

Jenna Marquard, PhD, is an Associate Professor of Industrial Engineering at the University of Massachusetts Amherst. She leads the Decision-Making and Behavior Lab, which focuses on designing technologies that improve healthcare outcomes by helping patients and providers make better and more efficient decisions.

Barry Saver

Barry Saver is a Faculty Physician and Research Scientist at Swedish Medical Center in Seattle, WA. Previously, he was a Professor of Family Medicine and Community Health at UMass Medical School, Worcester, MA. His research focuses on helping patients take more active, informed roles in their care.

Lawrence Garber

Lawrence Garber, MD, is a practicing Internist, the Medical Director for Informatics and Associate Medical Director for Research at Reliant Medical Group. He is Chair of the Massachusetts eHealth Collaborative, has been a member of multiple ONC Policy Committee Workgroups, and has led research in several innovative Health Information Exchanges.

Peggy Preusse

Peggy Preusse, RN, has worked at Reliant Medical Group in the department of Research for over 15 years. Past studies include clinical drug trials, device studies, and studies using evolving technology to monitor patients and provide safer care.