<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Gunzler DD</submitter><funding>NIDDK NIH HHS</funding><funding>National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases</funding><pagination>2350767</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11299459</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>46(2)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Screening for depression can be challenging among hemodialysis patients due to the overlap of depressive symptoms with dialysis or kidney disease related symptoms. The aim of this study was to understand these overlapping symptoms and develop a depression screening tool for better clinical assessment of depressive symptoms in dialysis patients.&lt;h4>Methods&lt;/h4>We surveyed 1,085 dialysis patients between March 1, 2018 and February 28, 2023 at 15 dialysis facilities in Northeast Ohio with the 9-item patient health questionnaire (PHQ-9) and kidney disease quality of life (KDQOL) instrument. To evaluate overlap across questionnaire items, we used structural equation modeling (SEM). We predicted and transformed factor scores to create a hemodialysis-adjusted PHQ-9 (hdPHQ-9). I</pubmed_abstract><journal>Renal failure</journal><pubmed_title>Using latent variables to improve the management of depression among hemodialysis patients.</pubmed_title><pmcid>PMC11299459</pmcid><funding_grant_id>R01DK112905</funding_grant_id><funding_grant_id>R01 DK112905</funding_grant_id><pubmed_authors>Figueroa M</pubmed_authors><pubmed_authors>Sajatovic M</pubmed_authors><pubmed_authors>Kauffman K</pubmed_authors><pubmed_authors>Pencak J</pubmed_authors><pubmed_authors>Dolata J</pubmed_authors><pubmed_authors>Gunzler DD</pubmed_authors><pubmed_authors>Sehgal AR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Using latent variables to improve the management of depression among hemodialysis patients.</name><description>&lt;h4>Background&lt;/h4>Screening for depression can be challenging among hemodialysis patients due to the overlap of depressive symptoms with dialysis or kidney disease related symptoms. The aim of this study was to understand these overlapping symptoms and develop a depression screening tool for better clinical assessment of depressive symptoms in dialysis patients.&lt;h4>Methods&lt;/h4>We surveyed 1,085 dialysis patients between March 1, 2018 and February 28, 2023 at 15 dialysis facilities in Northeast Ohio with the 9-item patient health questionnaire (PHQ-9) and kidney disease quality of life (KDQOL) instrument. To evaluate overlap across questionnaire items, we used structural equation modeling (SEM). We predicted and transformed factor scores to create a hemodialysis-adjusted PHQ-9 (hdPHQ-9). I</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2025-04-22T21:45:09.911Z</modification><creation>2025-04-06T03:47:21.412Z</creation></dates><accession>S-EPMC11299459</accession><cross_references><pubmed>39091090</pubmed><doi>10.1080/0886022X.2024.2350767</doi></cross_references></HashMap>