Patient needs and preferences for herb-drug-disease interaction alerts: a structured interview study

• Main Authors: Carrie M. Christensen, Rebecca S. Morris, Seraphine Chepkemoi Kapsandoy, Melissa Archer, Jinqiu Kuang, Laura Shane-McWhorter, Bruce E. Bray, Qing Zeng-Treitler
• Format: Article
• Language: English
• Published: BMC 2017-05-01
• Series: BMC Complementary and Alternative Medicine
• Subjects: Alerts; Complementary and alternative medicine; Structured interview study
• Online Access: http://link.springer.com/article/10.1186/s12906-017-1630-6

Abstract Background While complementary and alternative medicine (CAM) is commonly used in the United States and elsewhere, and hazardous interactions with prescription drugs can occur, patients do not regularly communicate with physicians about their CAM use. The objective of this study was to discover patient information needs and preferences for herb-drug-disease interaction alerts. Methods We recruited 50 people from several locations within the University of Utah Hospital to participate in this structured interview study. They were asked to provide their preferences for the herb-drug-disease interaction alerts. Qualitative methods were used to reveal the themes that emerged from the interviews. Results Most participants reported they had previously used, or they were currently using, CAM therapies. The majority had made the effort to inform their healthcare provider(s) about their CAM usage, although some had not. We found that most respondents were interested in receiving alerts and information about potential interactions. Many preferred to receive the alerts in a variety of ways, both in person and electronically. Conclusions In addition to conventional medicine, many patients regularly use complementary and alternative therapies. And yet, communication between patients and providers about CAM use is not consistent. There is a demand for interventions in health care that provide timely, integrative communication support. Delivering the herb-drug-disease alerts through multiple channels could help meet critical patient information needs.