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However, HRQoL assessment remains challenging due to methodological complexities, including poorly defined recovery trajectories, lack of consensus on measurement instruments, complexity of statistical analysis, and missing data. Electronic patient\u2010reported outcomes (ePROs) may improve data collection and efficiency, though their feasibility in ICU survivors is uncertain.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This protocol outlines a longitudinal, multicentre pilot study\u2010within\u2010a\u2010trial aimed at evaluating the feasibility of ePRO\u2010based HRQoL follow\u2010up and exploring a trajectory\u2010based approach to HRQoL characterisation after critical illness. We plan to enrol 100 participants already undergoing 180\u2010day HRQoL follow\u2010up in the Intensive Care Platform Trial (INCEPT) to complete monthly EQ\u20105D\u20105L surveys delivered by text messages from 6 to 12\u2009months after randomisation. Feasibility outcomes include enrolment and response rate, time to completion, reminder\u2010dependency, attrition pattern, agreement between modes of collection, and accessibility. Agreement between telephone\u2010 and ePRO\u2010based assessments at 180\u2009days will be evaluated at the group and at the individual level. Longitudinal EQ\u20105D\u20105L index values and visual analogue scale trajectories will be analysed using area\u2010under\u2010the\u2010curve methods based on linear interpolation. Scenario\u2010based sensitivity analyses will assess the potential impact of unobserved mortality among dropouts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>We hypothesise that ePRO\u2010based repeated assessments of HRQoL will support the goal of optimised data collection methods, while ensuring resources control. Moreover, identification of a candidate approach to HRQoL characterisation may shed light into the full recovery trajectory of ICU survivors and improve the interpretation and clinical relevance of HRQoL outcome assessments.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/aas.70342","type":"journal-article","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:46:24Z","timestamp":1790729184000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Electronic Patient\u2010Reported Health\u2010Related Quality of Life Trajectories in ICU Survivors: A Multicentre Pilot Study\u2010Within\u2010a\u2010Trial Protocol"],"prefix":"10.1111","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3223-2891","authenticated-orcid":false,"given":"Elisa Zoe","family":"Battistelli","sequence":"first","affiliation":[{"name":"Department of Intensive Care Copenhagen University Hospital\u2014Rigshospitalet  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