Evidence map›Paper›PMID 41411063›Full record

ArticleKidney3602026

Measurement Properties of an Electronic Patient-Reported Outcome Measure for Patients with Non-Dialysis-Dependent CKD.

Dipal M Patel, Dingfen Han, Jodi B Segal

Abstract read
In one paragraph

Article in Kidney360, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Dipal M PatelDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-8502-839
Dingfen HanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Jodi B SegalDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-3978-9662

Funding

AHRQ HHS P30 HS029772Johns Hopkins University Center for Promoting Embedded Research in the Learning Health SystemPatient-Centered Outcomes Research Institute P30 HS029772
6 · The paper itself

Abstract

key pointsThe Kidney Disease Symptom Survey demonstrated temporal stability in patients with stable CKD. Kidney Disease Symptom Survey measurements of general health and depressive symptoms converged with responses to Medicare Annual Wellness Visit questionnaires. Kidney Disease Symptom Survey responsiveness, with detection of a meaningful difference in scores, was seen in approximately 40% of patients with worsening kidney function.

backgroundPatients with non-dialysis-dependent CKD (NDD-CKD) develop progressive symptoms which affect quality of life. We distributed the Kidney Disease Symptom Survey (KDSS), an electronic patient-reported outcome measure partially based on the Kidney Disease Quality of Life-36 item survey, to patients with NDD-CKD. We aimed to evaluate the measurement properties of the KDSS when used in usual clinical care.

methodsWe conducted a retrospective analysis of electronic health record data for patients with NDD-CKD who completed the KDSS as part of their routine nephrology care. We evaluated temporal stability of KDSS scores for individuals with stable kidney function, responsiveness of KDSS scores for individuals with worsening kidney function, and convergent construct validity of the KDSS with Medicare Annual Wellness Visit assessments of patient-reported outcomes.

resultsAmong 147 patients with stable NDD-CKD, there were strong correlations between sequential KDSS assessments of general health (Spearman rank correlation [rho] 0.76), quality of life (rho, 0.63), physical symptoms (rho, 0.74), and mental health (rho, 0.71). For 35 individuals with worsening kidney function, the KDSS detecting a clinically important difference in physical symptom and mental health scores in approximately 40% of respondents. There were moderate to strong correlations between KDSS and annual wellness visit assessments of general health (rho, 0.64) and depressive symptoms (rho, 0.50).

conclusionsWhen used by diverse individuals with NDD-CKD, the KDSS had temporal stability for patients with stable kidney function, as well as moderate convergent construct validity for measuring general health and depressive symptoms. Responsiveness of the KDSS for physical symptoms and mental health was seen in only some individuals with kidney disease. Additional data demonstrating responsiveness to changes in kidney function, as well as interventions such as symptom management strategies, are needed to determine the clinical utility of the KDSS when used in usual care of patients with NDD-CKD.

Indexed as

Patient Reported Outcome MeasuresRenal Insufficiency, ChronicAgedAged, 80 and overDepressionElectronic Health RecordsFemaleHumansMaleMiddle AgedQuality of LifeRetrospective StudiesSurveys and QuestionnairesUnited Statesclinical nephrologyhealth statuspatient-centered carequality of life

Identifiers

PMID41411063
PMCPMC13134809

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.