Literature DB >> 29957885

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

Nikesh Parekh1,2, Jennifer M Stevenson3, Rebekah Schiff4, J Graham Davies3, Stephen Bremner5, Tischa Van der Cammen1,6, Jatinder Harchowal7, Chakravarthi Rajkumar1,2, Khalid Ali1,2.   

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.
© 2018 The British Pharmacological Society.

Entities:  

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

Mesh:

Year:  2018        PMID: 29957885      PMCID: PMC6138491          DOI: 10.1111/bcp.13690

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  45 in total

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Review 5.  Predicting adverse drug reactions in older adults; a systematic review of the risk prediction models.

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8.  Prevalence, nature and potential preventability of adverse drug events - a population-based medical record study of 4970 adults.

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Review 9.  A systematic review of the prevalence and risk factors for adverse drug reactions in the elderly in the acute care setting.

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  3 in total

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

Authors:  Nikesh Parekh; Jennifer M Stevenson; Rebekah Schiff; J Graham Davies; Stephen Bremner; Tischa Van der Cammen; Jatinder Harchowal; Chakravarthi Rajkumar; Khalid Ali
Journal:  Br J Clin Pharmacol       Date:  2018-07-30       Impact factor: 4.335

2.  A multi-centre cohort study on healthcare use due to medication-related harm: the role of frailty and polypharmacy.

Authors:  Jennifer M Stevenson; Nikesh Parekh; Kia-Chong Chua; J Graham Davies; Rebekah Schiff; Chakravarthi Rajkumar; Khalid Ali
Journal:  Age Ageing       Date:  2022-03-01       Impact factor: 10.668

3.  Medication-related harm in older adults following hospital discharge: development and validation of a prediction tool.

Authors:  Nikesh Parekh; Khalid Ali; John Graham Davies; Jennifer M Stevenson; Winston Banya; Stephen Nyangoma; Rebekah Schiff; Tischa van der Cammen; Jatinder Harchowal; Chakravarthi Rajkumar
Journal:  BMJ Qual Saf       Date:  2019-09-16       Impact factor: 7.035

  3 in total

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