<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Iloabuchi C</submitter><funding>NIMHD NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIH HHS</funding><pagination>100312</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8916690</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>30</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma.&lt;h4>Methods&lt;/h4>We used a retrospective cohort study design with 12-month baseline and follow-up periods. We identified a cohort of older adults (age ≥ 66 years) diagnosed with breast, prostate, colorectal cancers, or Non-Hodgkin's lymphoma between January 2014 and December 2014. We assessed low-value care and patient out-of-pocket expenditure in the follow-up period. We identified relevant low-value services using ICD9/ICD10 and CPT/HCPCS codes from the linked health claims and patient out-of-pocket expenditure from Medicare claim files and expressed expenditure in 2016 USD.&lt;h4>Resu</pubmed_abstract><journal>Journal of cancer policy</journal><pubmed_title>Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.</pubmed_title><pmcid>PMC8916690</pmcid><funding_grant_id>OT2 OD032581</funding_grant_id><funding_grant_id>1OT2OD032581-01</funding_grant_id><funding_grant_id>S21 MD012472</funding_grant_id><funding_grant_id>5S21MD012472-05</funding_grant_id><pubmed_authors>Iloabuchi C</pubmed_authors><pubmed_authors>Sambamoorthi U</pubmed_authors><pubmed_authors>LeMasters T</pubmed_authors><pubmed_authors>Shen C</pubmed_authors><pubmed_authors>Ladani A</pubmed_authors><pubmed_authors>Dwibedi N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.</name><description>&lt;h4>Objective&lt;/h4>To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma.&lt;h4>Methods&lt;/h4>We used a retrospective cohort study design with 12-month baseline and follow-up periods. We identified a cohort of older adults (age ≥ 66 years) diagnosed with breast, prostate, colorectal cancers, or Non-Hodgkin's lymphoma between January 2014 and December 2014. We assessed low-value care and patient out-of-pocket expenditure in the follow-up period. We identified relevant low-value services using ICD9/ICD10 and CPT/HCPCS codes from the linked health claims and patient out-of-pocket expenditure from Medicare claim files and expressed expenditure in 2016 USD.&lt;h4>Resu</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Dec</publication><modification>2025-04-25T20:56:16.995Z</modification><creation>2025-04-06T08:33:48.133Z</creation></dates><accession>S-EPMC8916690</accession><cross_references><pubmed>35559807</pubmed><doi>10.1016/j.jcpo.2021.100312</doi></cross_references></HashMap>