A machine-learning assisted review of the use of habit formation in medication adherence interventions for long-term conditions

Health Psychol Rev. 2024 Mar;18(1):1-23. doi: 10.1080/17437199.2022.2034516. Epub 2022 Feb 14.

Abstract

Adherence to medication in long-term conditions is around 50%. The key components of successful interventions to improve medication adherence remain unclear, particularly when examined over prolonged follow-up periods. Behaviour change theories are increasingly interested in the utility of habit formation for the maintenance of health behaviour change, but there is no documentation on how habit has been conceptualised in the medication adherence intervention literature, or what effect the key technique identified in habit formation theory (context dependent repetition) has in these studies. To examine this, a machine-learning assisted review was conducted. Searches of MEDLINE, EMBASE and PSYCInfo and the reference list of a comprehensive systematic review of medication adherence interventions yielded 5973 articles. Machine learning-assisted title and abstract screening identified 15 independent RCTs published between 1976 and 2021, including 18 intervention comparisons of interest. Key findings indicate that conceptualisations of habit in the medication adherence literature are varied and behaviour change technique coding identified only six studies which explicitly described using habit formation. Future work should aim to develop this evidence base, drawing on contemporary habit theory and with explicit demonstration of what techniques have been used to promote habit formation.

Keywords: Habit; behaviour change; machine-learning assisted review; maintenance; medication adherence.

MeSH terms

  • Behavior Therapy
  • Habits*
  • Health Behavior*
  • Humans
  • Medication Adherence