Arjun Poudel1, Anna Ballokova2, Ruth E Hubbard3, Leonard C Gray3, Charles A Mitchell1, Lisa M Nissen1,4, Ian A Scott5,6. 1. School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia. 2. Department of Geriatrics and Gerontology, 1st Faculty of Medicine, Charles University in Prague, Prague, Czech Republic. 3. Center for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. 4. School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. 5. School of Medicine, The University of Queensland, Brisbane, Queensland, Australia. 6. Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
Abstract
AIM: Frail older people typically suffer several chronic diseases, receive multiple medications and are more likely to be institutionalized in residential aged care facilities. In such patients, optimizing prescribing and avoiding use of high-risk medications might prevent adverse events. The present study aimed to develop a pragmatic, easily applied algorithm for medication review to help clinicians identify and discontinue potentially inappropriate high-risk medications. METHODS: The literature was searched for robust evidence of the association of adverse effects related to potentially inappropriate medications in older patients to identify high-risk medications. Prior research into the cessation of potentially inappropriate medications in older patients in different settings was synthesized into a four-step algorithm for incorporation into clinical assessment protocols for patients, particularly those in residential aged care facilities. RESULTS: The algorithm comprises several steps leading to individualized prescribing recommendations: (i) identify a high-risk medication; (ii) ascertain the current indications for the medication and assess their validity; (iii) assess if the drug is providing ongoing symptomatic benefit; and (iv) consider withdrawing, altering or continuing medications. Decision support resources were developed to complement the algorithm in ensuring a systematic and patient-centered approach to medication discontinuation. These include a comprehensive list of high-risk medications and the reasons for inappropriateness, lists of alternative treatments, and suggested medication withdrawal protocols. CONCLUSIONS: The algorithm captures a range of different clinical scenarios in relation to potentially inappropriate medications, and offers an evidence-based approach to identifying and, if appropriate, discontinuing such medications. Studies are required to evaluate algorithm effects on prescribing decisions and patient outcomes. Geriatr Gerontol Int 2016; 16: 1002-1013.
AIM: Frail older people typically suffer several chronic diseases, receive multiple medications and are more likely to be institutionalized in residential aged care facilities. In such patients, optimizing prescribing and avoiding use of high-risk medications might prevent adverse events. The present study aimed to develop a pragmatic, easily applied algorithm for medication review to help clinicians identify and discontinue potentially inappropriate high-risk medications. METHODS: The literature was searched for robust evidence of the association of adverse effects related to potentially inappropriate medications in older patients to identify high-risk medications. Prior research into the cessation of potentially inappropriate medications in older patients in different settings was synthesized into a four-step algorithm for incorporation into clinical assessment protocols for patients, particularly those in residential aged care facilities. RESULTS: The algorithm comprises several steps leading to individualized prescribing recommendations: (i) identify a high-risk medication; (ii) ascertain the current indications for the medication and assess their validity; (iii) assess if the drug is providing ongoing symptomatic benefit; and (iv) consider withdrawing, altering or continuing medications. Decision support resources were developed to complement the algorithm in ensuring a systematic and patient-centered approach to medication discontinuation. These include a comprehensive list of high-risk medications and the reasons for inappropriateness, lists of alternative treatments, and suggested medication withdrawal protocols. CONCLUSIONS: The algorithm captures a range of different clinical scenarios in relation to potentially inappropriate medications, and offers an evidence-based approach to identifying and, if appropriate, discontinuing such medications. Studies are required to evaluate algorithm effects on prescribing decisions and patient outcomes. Geriatr Gerontol Int 2016; 16: 1002-1013.
Authors: Sheny Khera; Marjan Abbasi; Julia Dabravolskaj; Cheryl A Sadowski; Hannah Yua; Bernadette Chevalier Journal: J Prim Care Community Health Date: 2019 Jan-Dec
Authors: Richard H Parrish; Heather Monk Bodenstab; Dustin Carneal; Ryan M Cassity; William E Dager; Sara J Hyland; Jenna K Lovely; Alyssa Pollock; Tracy M Sparkes; Siu-Fun Wong Journal: J Clin Med Date: 2022-09-24 Impact factor: 4.964