<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zheng H</submitter><funding>NCATS NIH HHS</funding><funding>AHRQ HHS</funding><pagination>708-715</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11023798</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>106(8)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>When performed well on appropriate patients, total knee arthroplasty (TKA) can dramatically improve quality of life. Patient-reported outcome measures (PROMs) are increasingly used to measure outcome following TKA. Accurate prediction of improvement in PROMs after TKA potentially plays an important role in judging the surgical quality of the health-care institutions as well as informing preoperative shared decision-making. Starting in 2027, the U.S. Centers for Medicare &amp; Medicaid Services (CMS) will begin mandating PROM reporting to assess the quality of TKAs.&lt;h4>Methods&lt;/h4>Using data from a national cohort of patients undergoing primary unilateral TKA, we developed an original model that closely followed a CMS-proposed measure to predict success, defined as achieving </pubmed_abstract><journal>The Journal of bone and joint surgery. American volume</journal><pubmed_title>Strengthening Quality Measurement to Predict Success for Total Knee Arthroplasty: Results from a Nationally Representative Total Knee Arthroplasty Cohort.</pubmed_title><pmcid>PMC11023798</pmcid><funding_grant_id>UL1 TR001453</funding_grant_id><funding_grant_id>P50 HS018910</funding_grant_id><pubmed_authors>Liu SH</pubmed_authors><pubmed_authors>Yang W</pubmed_authors><pubmed_authors>Allison J</pubmed_authors><pubmed_authors>Ayers DC</pubmed_authors><pubmed_authors>Zheng H</pubmed_authors><pubmed_authors>Ash AS</pubmed_authors></additional><is_claimable>false</is_claimable><name>Strengthening Quality Measurement to Predict Success for Total Knee Arthroplasty: Results from a Nationally Representative Total Knee Arthroplasty Cohort.</name><description>&lt;h4>Background&lt;/h4>When performed well on appropriate patients, total knee arthroplasty (TKA) can dramatically improve quality of life. Patient-reported outcome measures (PROMs) are increasingly used to measure outcome following TKA. Accurate prediction of improvement in PROMs after TKA potentially plays an important role in judging the surgical quality of the health-care institutions as well as informing preoperative shared decision-making. Starting in 2027, the U.S. Centers for Medicare &amp; Medicaid Services (CMS) will begin mandating PROM reporting to assess the quality of TKAs.&lt;h4>Methods&lt;/h4>Using data from a national cohort of patients undergoing primary unilateral TKA, we developed an original model that closely followed a CMS-proposed measure to predict success, defined as achieving </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Apr</publication><modification>2025-06-26T03:06:07.699Z</modification><creation>2025-06-26T03:06:07.699Z</creation></dates><accession>S-EPMC11023798</accession><cross_references><pubmed>38271493</pubmed><doi>10.2106/JBJS.23.00602</doi><doi>10.2106/jbjs.23.00602</doi></cross_references></HashMap>