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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jun 1, 2022
Date Accepted: Sep 22, 2022

The final, peer-reviewed published version of this preprint can be found here:

Shared Decision-Making for Drug-Drug Interactions: Formative Evaluation of an Anticoagulant Drug Interaction

Gomez Lumbreras A, Reese TJ, Del Fiol G, Tan MS, Butler JM, T. Hurwitz J, Brown M, Kawamoto K, Thiess H, Wright M, Malone DC

Shared Decision-Making for Drug-Drug Interactions: Formative Evaluation of an Anticoagulant Drug Interaction

JMIR Form Res 2022;6(10):e40018

DOI: 10.2196/40018

PMID: 36260377

PMCID: 9631167

Share Decision-Making for Drug-Drug Interactions: Formative Evaluation of an Anticoagulant Drug Interaction

  • Ainhoa Gomez Lumbreras; 
  • Thomas J Reese; 
  • Guilherme Del Fiol; 
  • Malinda S Tan; 
  • Jorie M Butler; 
  • Jason T. Hurwitz; 
  • Mary Brown; 
  • Kensaku Kawamoto; 
  • Henrik Thiess; 
  • Maria Wright; 
  • Daniel C Malone

ABSTRACT

Background:

Warfarin and non-steroidal anti-inflammatory drugs (NSAIDs) drug-drug interaction (DDI) warnings within electronic health records indicate potential harm but fail to account for contextual factors and preferences.

Objective:

The purpose of this study was to conduct a formative evaluation of a shared decision making (SDM) tool for a DDI between warfarin and NSAIDs called DDInteract that incorporated patient and product contextual factors to estimate the risk of bleeding.

Methods:

A randomized formative evaluation was conducted to compare DDInteract to usual care (UC) using physician/patient dyads in simulated clinical encounters. Participants completed a post-session interview and survey of the SDM process (SDM-9), tool usability and workload (NASA Task Load Index and Unified Theory of Acceptance and Use of Technology [UTAUT]), and perceived behavioral and decision conflict scale. They also were interviewed after the session to obtain perceptions DDInteract and UC resources for DDIs.

Results:

Twelve dyads completed the simulated encounters using virtual software. Regarding scores on the SDM-9, participants rated DDInteract higher than UC for questions pertaining to helping patients clarify the decision (p=0.035), involving patients in the decision (p=0.005), displaying treatment options (p<0.001), identifying advantages and disadvantages (p=0.008), and facilitating patient understanding (p=0.010) and discussion of preferences (p=0.007). More than half of the UTAUT constructs showed differences between the two groups, favoring DDInteract (p<0.05). During the session debrief, physicians indicated little concern for additional time or workload to use DDInteract.

Conclusions:

Participants rated DDInteract useful for enhancing SDM, logical, and would use the tool for an interaction involving warfarin and NSAIDs.


 Citation

Please cite as:

Gomez Lumbreras A, Reese TJ, Del Fiol G, Tan MS, Butler JM, T. Hurwitz J, Brown M, Kawamoto K, Thiess H, Wright M, Malone DC

Shared Decision-Making for Drug-Drug Interactions: Formative Evaluation of an Anticoagulant Drug Interaction

JMIR Form Res 2022;6(10):e40018

DOI: 10.2196/40018

PMID: 36260377

PMCID: 9631167

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