153 DIFFERENCES IN POTENTIALLY INAPPROPRIATE PRESCRIBING (PIP) AT DISCHARGE ACCORDING TO FRAILTY STATUS. (18th November 2021)

• Record Type: Journal Article
• Authors: Auliffe, C M; Hayden, D; Kenny, J; Byrne, S
• Is Part Of: Age and ageing. Volume 50(2021)Supplement 3
• Publication Date: 2021-11-18
• Subjects: Aging -- Periodicals; Geriatrics -- Periodicals; 618.97
• DOI: 10.1093/ageing/afab219.153
• Languages: English
• ISSNs: 0002-0729

Abstract

Abstract: Background: Frailty is a key concept in healthcare service planning development for our ageing population. Guidelines recommend that older patients requiring acute hospital care should be routinely assessed for frailty (NCPOP). Potentially Inappropriate Prescribing (PIP) encompasses both over- and under-prescribing and is associated with adverse health outcomes for older persons. The objective of this study was to investigate differences in PIP at discharge of older patients according to frailty status (robust, pre-frail and frail). Methods: In this retrospective single-centre cohort study, a random sample of older patients (≥75 years) assessed for frailty on admission, was selected. The discharge prescriptions of 150 patients were reviewed using STOPP and START criteria to identify Potentially Inappropriate Medications (PIMs and Potential Prescribing Omissions (PPOs). Drg Burden Index (DBI) scores, a measure of anticholinergic and sedative burden, were calculated for each patient. Data was analysed using descriptive statistics. Results: There was a significant difference in the mean number of medications between the groups (F = 12.335, p < 0.001), with frailer patients prescribed more medications. Significantly more hyperpolypharmacy (≥10 regular medications) was identified in the frail group (χ 2 = 17.378, p < 0.001). A high prevalence of both PIMs(72%) and PPOs (63.3%) was found, as was a significant difference in the proportion of patients with PPOs according to frailty status (χ2 = 6.507, p = 0.039). The median number of PPOs increased significantly from the robust to pre-frail and frail groups (χ2 = 8.194, p = 0.017). DBI scores increased significantly from the robust to pre-frail and frail groups (χ 2 = 7.389, p = 0.025) and there was a significant difference in the proportion of patients with high DBI exposure (scores≥1) across the groups (χ 2 = 6.497, p = 0.039). Conclusion: Frail patients were on more medications, had more instances of PPOs and a higher anticholinergic and sedative burden than their non-frail counterparts. The results of this study support the use of frailty assessments in identifying patients for targeted medication reviews aimed at reducing PIP.