Paper-based and web-based intervention modeling experiments identified the same predictors of general practitioners' antibiotic-prescribing behavior

J Clin Epidemiol. 2014 Mar;67(3):296-304. doi: 10.1016/j.jclinepi.2013.09.015. Epub 2013 Dec 31.

Abstract

Objectives: To evaluate the robustness of the intervention modeling experiment (IME) methodology as a way of developing and testing behavioral change interventions before a full-scale trial by replicating an earlier paper-based IME.

Study design and setting: Web-based questionnaire and clinical scenario study. General practitioners across Scotland were invited to complete the questionnaire and scenarios, which were then used to identify predictors of antibiotic-prescribing behavior. These predictors were compared with the predictors identified in an earlier paper-based IME and used to develop a new intervention.

Results: Two hundred seventy general practitioners completed the questionnaires and scenarios. The constructs that predicted simulated behavior and intention were attitude, perceived behavioral control, risk perception/anticipated consequences, and self-efficacy, which match the targets identified in the earlier paper-based IME. The choice of persuasive communication as an intervention in the earlier IME was also confirmed. Additionally, a new intervention, an action plan, was developed.

Conclusion: A web-based IME replicated the findings of an earlier paper-based IME, which provides confidence in the IME methodology. The interventions will now be evaluated in the next stage of the IME, a web-based randomized controlled trial.

Trial registration: ClinicalTrials.gov NCT01206738.

Keywords: Behavior change; Intervention development; Intervention modeling experiments; Prescribing; Primary care; Randomized controlled trials.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anti-Bacterial Agents / administration & dosage*
  • General Practitioners / statistics & numerical data*
  • Humans
  • Inappropriate Prescribing / prevention & control
  • Internet*
  • Models, Theoretical*
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Research Design
  • Scotland
  • Self Efficacy
  • Surveys and Questionnaires

Substances

  • Anti-Bacterial Agents

Associated data

  • ClinicalTrials.gov/NCT01206738