{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T08:33:02Z","timestamp":1648715582122},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:00:00Z","timestamp":1606089600000},"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":[[2020,11,23]]},"abstract":"<jats:p>Population-level studies confirm the existence of significant rates of overdiagnosis and overtreatment in a number of conditions, particularly those for which the screening of asymptomatic individuals is routine. The implication is that the possibility of being overdiagnosed and\/or overtreated must be mentioned as a possible harm in generating informed consent and participation from the individual invited to be screened. But how should the rates of such preference-insensitive population-level phenomena be introduced into preference-sensitive individual decision making? Three possible strategies are rejected, including the currently dominant one that involves presenting the rates relevant to overdiagnosis and overtreatment as discrete pieces of information about a single criterion (typically condition-specific mortality). Extensive quotation from a review of cancer decision aids confirms that processing this complex and isolated information is not a practical approach. However, the task is unnecessary, since an outcome-focused multicriteria decision support tool will incorporate the effects of overdiagnosis and overtreatment \u2013 along with the effects of any underdiagnosis and undertreatment.<\/jats:p>","DOI":"10.3233\/shti200717","type":"book-chapter","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T23:41:18Z","timestamp":1606174878000},"source":"Crossref","is-referenced-by-count":0,"title":["Multicriteria Decision Support Would Avoid Overdiagnosis and Overtreatment"],"prefix":"10.3233","author":[{"given":"Vije Kumar","family":"Rajput","sequence":"first","affiliation":[{"name":"Stonydelph Health Centre, Tamworth, UK"}]},{"given":"Jack","family":"Dowie","sequence":"additional","affiliation":[{"name":"London School of Hygiene and Tropical Medicine"},{"name":"University of Southern Denmark"}]},{"given":"Mette Kjer","family":"Kaltoft","sequence":"additional","affiliation":[{"name":"University of Southern Denmark"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Integrated Citizen Centered Digital Health and Social Care"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI200717","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T02:52:00Z","timestamp":1606272720000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI200717"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti200717","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,23]]}}}