Can doctors identify older patients at risk of medication harm following hospital discharge? A multicentre prospective study in the UK

Br J Clin Pharmacol. 2018 Oct;84(10):2344-2351. doi: 10.1111/bcp.13690. Epub 2018 Jul 30.

Abstract

Aims: Medication-related harm (MRH) is common in older adults following hospital discharge. In resource-limited health systems, interventions to reduce this risk can be targeted at high-risk patients. This study aims to determine whether (1) doctors can predict which older patients will experience MRH requiring healthcare following hospital discharge, (2) clinical experience and confidence in prediction influence the accuracy of the prediction.

Methods: This was a multicentre observational prospective study involving five teaching hospitals in England between September 2013 and November 2015. Doctors discharging patients (aged ≥65 years) from medical wards predicted the likelihood of their patient experiencing MRH requiring healthcare (hospital readmission or community healthcare) in the initial 8-week period post-discharge. Patients were followed up by senior pharmacists to determine MRH occurrence.

Results: Data of 1066 patients (83%) with completed predictions and follow-up, out of 1280 recruited patients, were analysed. Patients had a median age of 82 years (65-103 years), and 58% were female. Most predictions (85%) were made by junior doctors with less than 5 years' clinical experience. There was no relationship between doctors' predictions and patient MRH (OR 1.10, 95% CI 0.82-1.46, P = 0.53), irrespective of years of clinical experience. Doctors' predictions were more likely to be accurate when they reported higher confidence in their prediction, especially in predicting MRH-associated hospital readmissions (OR 1.58, 95% CI 1.42-1.76, P < 0.001).

Conclusions: Clinical judgement of doctors is not a reliable tool to predict MRH in older adults post-discharge.

Keywords: geriatric medicine; medical education; patient safety; pharmacovigilance; prescribing.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Clinical Competence / statistics & numerical data
  • Drug-Related Side Effects and Adverse Reactions / diagnosis*
  • Drug-Related Side Effects and Adverse Reactions / epidemiology
  • Drug-Related Side Effects and Adverse Reactions / etiology
  • Drug-Related Side Effects and Adverse Reactions / prevention & control
  • England / epidemiology
  • Female
  • Follow-Up Studies
  • Hospitals, Teaching / organization & administration
  • Hospitals, Teaching / statistics & numerical data
  • Humans
  • Male
  • Medication Adherence / statistics & numerical data*
  • Medication Errors / prevention & control*
  • Medication Errors / statistics & numerical data
  • Patient Discharge*
  • Patient Readmission / statistics & numerical data
  • Pharmacy Service, Hospital / organization & administration
  • Pharmacy Service, Hospital / statistics & numerical data
  • Physicians / organization & administration*
  • Physicians / statistics & numerical data
  • Prognosis
  • Prospective Studies
  • Risk Assessment / statistics & numerical data