<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Paudel R</submitter><funding>Dana-Farber Cancer Institute</funding><funding>Dartmouth Hitchcock Medical Center</funding><funding>Lifespan Health System</funding><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><funding>National Institutes of Health</funding><funding>Baptist Health System</funding><funding>The IMPACT Consortium is a Cancer Moonshot Research Initiative</funding><funding>NIH HHS</funding><funding>West Virginia University</funding><pagination>1137-1144</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11223809</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>116(7)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Optimal methods for deploying electronic patient-reported outcomes to manage symptoms in routine oncologic practice remain uncertain. The electronic symptom management (eSyM) program asks chemotherapy and surgery patients to self-report 12 common symptoms regularly. Feedback from nurses and patients led to changing the recall period from the past 7 days to the past 24 hours.&lt;h4>Methods&lt;/h4>Using questionnaires submitted during the 16 weeks surrounding the recall period change, we assessed the likelihood of reporting severe or moderate and severe symptoms across 12 common symptoms and separately for the 5 most prevalent symptoms. Interrupted time-series analyses modeled the effects of the change using generalized linear mixed-effects models. Surgery and chemotherapy cohor</pubmed_abstract><journal>Journal of the National Cancer Institute</journal><pubmed_title>Effects of a change in recall period on reporting severe symptoms: an analysis of a pragmatic multisite trial.</pubmed_title><pmcid>PMC11223809</pmcid><funding_grant_id>UM1CA233080</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>T32 CA009172</funding_grant_id><funding_grant_id>UM1 CA233080</funding_grant_id><pubmed_authors>Jensen RE</pubmed_authors><pubmed_authors>Mitchell SA</pubmed_authors><pubmed_authors>Dizon DS</pubmed_authors><pubmed_authors>Cronin C</pubmed_authors><pubmed_authors>Hassett MJ</pubmed_authors><pubmed_authors>Paudel R</pubmed_authors><pubmed_authors>Bian J</pubmed_authors><pubmed_authors>Wong SL</pubmed_authors><pubmed_authors>Hazard Jenkins H</pubmed_authors><pubmed_authors>Schrag D</pubmed_authors><pubmed_authors>Osarogiagbon RU</pubmed_authors><pubmed_authors>Enzinger AC</pubmed_authors><pubmed_authors>Uno H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Effects of a change in recall period on reporting severe symptoms: an analysis of a pragmatic multisite trial.</name><description>&lt;h4>Background&lt;/h4>Optimal methods for deploying electronic patient-reported outcomes to manage symptoms in routine oncologic practice remain uncertain. The electronic symptom management (eSyM) program asks chemotherapy and surgery patients to self-report 12 common symptoms regularly. Feedback from nurses and patients led to changing the recall period from the past 7 days to the past 24 hours.&lt;h4>Methods&lt;/h4>Using questionnaires submitted during the 16 weeks surrounding the recall period change, we assessed the likelihood of reporting severe or moderate and severe symptoms across 12 common symptoms and separately for the 5 most prevalent symptoms. Interrupted time-series analyses modeled the effects of the change using generalized linear mixed-effects models. Surgery and chemotherapy cohor</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2026-06-01T09:24:54.39Z</modification><creation>2025-04-04T12:21:39.938Z</creation></dates><accession>S-EPMC11223809</accession><cross_references><pubmed>38445744</pubmed><doi>10.1093/jnci/djae049</doi></cross_references></HashMap>