Opioid Use Disorder (OUD) is a problematic pattern of opioid use leading to problems or distress. It can lead to higher healthcare costs and serious harm to patients. Patients have vulnerability to OUD based on their history, genetic makeup, current environment and stressors, medical condition and type of opioid prescribed. The number of people in the US with OUD exceeds 2 million and the total cost is approximately $100B/year. In this study, we present a theory-based design approach and three interventions for OUD. More specifically, we present the following techno-behavioural interventions: (a) decision support for healthcare professionals, (b) reminders, monitoring, and interventions for patients and (c) group support for patients. We have developed an analytical model which can be used to study cost of healthcare and interventions, and preferences of patients using utilities. We also explore the use of financial incentives for increasing the adoption of interventions. We found that interventions can lead to considerable cost savings even for mild to moderate OUD and these savings can translate into significant incentives for patients to continue the interventions. These results will help healthcare professionals, decision-makers, and researchers to explore various interventions for different patients with OUD.
Varshney, Upkar and Singh, Neetu, "Opioid Use Disorder: IT-based Interventions" (2020). In Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference, June 15-17, 2020.
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