The MGPIDP-L project: Potentially inappropriate drug prescribing and its associated factors

Arch Gerontol Geriatr. 2023 Jun:109:104947. doi: 10.1016/j.archger.2023.104947. Epub 2023 Jan 28.

Abstract

Objective: The aim of this study was to identify the prevalence of potentially inappropriate drug prescribing1 (PIDP) using a combination of explicit and implicit criteria in a sample of Lebanese older adults taking 5 or more chronic medications per day in ambulatory care settings and to identify which factors were associated with PIDP. The explicit criteria included five different lists: Beers, Laroche, European Union (EU(7)-PIM list), STOPP/ START, STOPP Frail, and Alert and Mastering of Iatrogenesis issued by the French High Authority of Health. We also performed a sensitivity analysis to compare the potentially inappropriate medications according to each criterion.

Methods: Data were collected from each patient via a face-to-face interview. Logistic regressions were conducted to evaluate both objectives.

Results: Many factors were positively associated with PIDP. The risk of PIDP was positively associated with age (OR =4.692, 95% CI [1.889-11.655]). Treatment for insomnia doubled the odds of PIDP (P<0.05). Participants who picked their medications from the pharmacy and had excess stock of drugs were at higher risk of having PIDP by 2.042 (95% CI [1.199-3.478]) and 2.965(95% CI [1.133-7.762]) respectively. However, patients with a perception of being heavily medicated and patients with a missed dose in the last two weeks had lower odds of PIDP.

Conclusion: Our study showed a high prevalence of PIDP in Lebanon, which is associated with various correlates. Selecting the appropriate tools to assess PIDP and providing patient education regarding the risks associated with potentially inappropriate medications are issues to be addressed among older adults.

Keywords: Lebanon; Older adults; Pharmacist; Potentially inappropriate drug prescribing; Primary care; Risk factors.

MeSH terms

  • Aged
  • Drug Prescriptions
  • Humans
  • Inappropriate Prescribing*
  • Logistic Models
  • Potentially Inappropriate Medication List*
  • Prevalence