{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T07:40:59Z","timestamp":1662363659810},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T00:00:00Z","timestamp":1661904000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,31]]},"abstract":"<jats:p>One possible cause of overprescribing (or insufficient deprescribing) is the failure to explicitly address the individual\u2019s life expectancy (LE). For example, if a LE estimate shows the person has six months to live, this should influence the prescribing of a medication that offers benefits only over a much longer LE. Predicting exactly the number of years a person will live is impossible, but probabilistic forecasting is possible and arguably essential, both for the selection of the optimal intervention and for meeting the \u2018reasonable patient\u2019 standard of information about the harms and benefits of alternative options. One side-effect of the COVID-19 pandemic has been to bring mortality into greater prominence, hopefully facilitating its discussion in the clinic as part of the \u2018new normal\u2019. This paper outlines the case for introducing LE into prescribing decisions as a way of making more individualised decisions and potentially reducing overprescribing. It concentrates on how the clinical task of arriving at individualised estimates of LE might be tackled, especially in the case of the growing number of older patients with heterogeneous sociodemographic characteristics who are experiencing multiple long term conditions of varying severity and are frequently subject to \u2018polypharmacy\u2019.<\/jats:p>","DOI":"10.3233\/shti220918","type":"book-chapter","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T07:24:00Z","timestamp":1662362640000},"source":"Crossref","is-referenced-by-count":0,"title":["Individualising Life Expectancy Is Necessary for Optimal Prescribing"],"prefix":"10.3233","author":[{"given":"Vije Kumar","family":"Rajput","sequence":"first","affiliation":[{"name":"Stonydelph Health Centre, Tamworth, UK"},{"name":"London School of Hygiene and Tropical Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jack","family":"Dowie","sequence":"additional","affiliation":[{"name":"London School of Hygiene and Tropical Medicine"},{"name":"University of Southern Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mette Kjer","family":"Kaltoft","sequence":"additional","affiliation":[{"name":"University of Southern Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Professionalism in Health and Care: Developing the Workforce, Building the Future"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220918","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T07:24:00Z","timestamp":1662362640000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220918"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,31]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220918","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,31]]}}}