Open AccessUse of the STOPP and START criteria to address polypharmacy for elderly patients in University Hospital Lewisham Clinical Decisions Unit
Author(s) -
O'Connor Johanna,
Adabavazeh Babak,
Choi Hyun,
Khan Akthar,
Shah Sahil,
Shah Shahnal
Publication year - 2021
Publication title -
hong kong journal of emergency medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.145
H-Index - 12
eISSN - 2309-5407
pISSN - 1024-9079
DOI - 10.1177/1024907919849358
Subject(s) - medicine , polypharmacy , medical prescription , emergency medicine , psychological intervention , geriatrics , unit (ring theory) , pediatrics , intensive care medicine , psychiatry , pharmacology , mathematics education , mathematics
Background: Polypharmacy and inappropriate prescribing are risk factors for adverse drug reactions, which commonly cause complications in older people. The STOPP (Screening Tool of Older Persons’ Prescriptions)/START (Screening Tool to Alert Doctors to Right Treatment) criteria are screening tools, which aim to improve prescribing in the elderly. Objectives: The aim was to improve prescribing, using the STOPP/START criteria, for patients aged 65 and above, who were admitted to the Clinical Decisions Unit at University Hospital Lewisham. We focused on the most common prescribing errors in clinical decision unit, an emergency medicine department. Methods: We reviewed all patients aged 65 and above admitted to the Clinical Decisions Unit in September. Data was collected from clinical documentation and archived drug charts. This pilot study of 114 patients revealed the most common prescribing errors, of which 8 were STOPP and 11 were START criteria. A plan–do–study–act methodology was implemented over 1 month, involving presentations, emails and posters. Prescribing patterns were then reviewed over 4 weeks in December in 111 patients. Results: Focusing on the 8 STOPP and 11 START criteria, there was a significant reduction in the proportion of patients with at least one STOPP error (17.5% to 9%, p = 0.04). However, the decrease in the percentage of patients with at least one START error was insignificant (24.6% to 20.7%, p = 0.24). Conclusion: By identifying problematic areas of prescribing and using targeted interventions, the proportion of STOPP errors made in clinical decision unit reduced significantly. This study highlights the prevalence of prescription errors in the clinical decision unit and the impact of using screening tools to reduce incorrect prescribing.