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Information or Habit: What Health Policy Makers Should Know about the Drivers of Self-Medication among Romanians.

Elena DruicăCristian BaicusRodica Ianole-CălinRonald Fischer
Published in: International journal of environmental research and public health (2021)
We use the Knowledge, Perceptions and Practices framework to analyze determinants of three types of self-medication practices in Romania: (1) self-medication in the case of cold/flu/viral infections; (2) taking non-prescribed medicine in general; and (3) self-medication based on recommendations by others. We analyzed 706 responses to an online survey and used a factor-based Partial Least Squares algorithm (PLSF) to estimate the relationships between each type of self-medication and possible predictors. Our results show that self-medication is strongly predicted by non-cognitive behavioral factors such as habits and similarity of symptoms, while cognitive determinants such as knowledge and understanding of potential risks are not significantly associated with self-medication behaviors. This paper identifies nonlinear relationships among self-medication practices and its predictors and discusses how our results can help policymakers calibrate interventions with better accuracy.
Keyphrases
  • healthcare
  • adverse drug
  • primary care
  • public health
  • emergency department
  • sars cov
  • deep learning
  • machine learning
  • cross sectional
  • human health