Identifying older inpatients at high risk of unintentional medication discrepancies: a classification tree analysis

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  • dc.contributor.author Corvaisier, Mathieu
  • dc.contributor.author Sánchez-Rodríguez, María Dolores
  • dc.contributor.author Sautret, Kevin
  • dc.contributor.author Riou, Jérémie
  • dc.contributor.author Spiesser-Robelet, Laurence
  • dc.contributor.author Annweiler, Cédric
  • dc.date.accessioned 2024-10-16T06:14:30Z
  • dc.date.embargoEnd info:eu-repo/date/embargoEnd/2024-11-09
  • dc.date.issued 2023
  • dc.description.abstract Unintentional medication discrepancies at admission are differences between the best possible medication history and the prescribed treatment at admission, and are associated with adverse outcomes, particularly in older people. This study aimed to identify the clinical profiles of geriatric inpatients with unintentional medication discrepancies at hospital admission. A classification tree Chi-square Automatic Interaction Detector (CHAID) analysis was conducted to assess those patients' profiles and characteristics that were associated with a higher risk of unintentional medication discrepancies. One-hundred and thirty consecutive older patients admitted to acute care (87 ± 5 years old; 61.8% women) were assessed. The CHAID analysis retrieved 5 clinical profiles of older inpatients with a risk of up to 94.4% for unintentional medication discrepancies. These profiles were determined based on combinations of three characteristics: use of eye drops, frequent falls (≥ 1/year), and admission due to urgent hospitalization. These easily measurable clinical characteristics may be helpful as a supportive measure to improve pharmacological care.
  • dc.embargo.liftdate 2024-11-09
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Corvaisier M, Sanchez-Rodriguez D, Sautret K, Riou J, Spiesser-Robelet L, Annweiler C. Identifying older inpatients at high risk of unintentional medication discrepancies: a classification tree analysis. Aging Clin Exp Res. 2023 Dec;35(12):3227-32. DOI: 10.1007/s40520-023-02598-2
  • dc.identifier.doi http://dx.doi.org/10.1007/s40520-023-02598-2
  • dc.identifier.issn 1594-0667
  • dc.identifier.uri http://hdl.handle.net/10230/61414
  • dc.language.iso eng
  • dc.publisher Springer
  • dc.relation.ispartof Aging Clin Exp Res. 2023 Dec;35(12):3227-32
  • dc.rights This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s40520-023-02598-2
  • dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
  • dc.subject.keyword Drug management
  • dc.subject.keyword Medication reconciliation
  • dc.subject.keyword Older adults
  • dc.subject.keyword Pharmacological care
  • dc.subject.keyword Unintentional medication discrepancy
  • dc.title Identifying older inpatients at high risk of unintentional medication discrepancies: a classification tree analysis
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/acceptedVersion