{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:46:45Z","timestamp":1782845205816,"version":"3.54.5"},"reference-count":29,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Form Res"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Chronic kidney disease (CKD) affects 14% of the US adult population, yet patient knowledge about kidney disease and engagement in their kidney health is low despite many CKD education programs, awareness campaigns, and clinical practice guidelines.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n We aimed to examine the impact of the Kidney Score Platform (a patient-facing, risk-based online tool that provides interactive health information tailored to an individual\u2019s CKD risk plus an accompanying clinician-facing Clinical Practice Toolkit) on individual engagement with CKD health and CKD communication between clinicians and patients.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n We conducted a pre-post intervention study in which English-speaking veterans at risk for CKD in two primary care settings interacted with the Kidney Score platform\u2019s educational modules and their primary care clinicians were encouraged to review the Clinical Practice Toolkit. The impact of the Kidney Score on the Patient Activation Measure (the primary outcome), knowledge about CKD, and communication with their clinician about kidney health was determined with paired\n t<\/jats:italic>\n tests. Multivariable linear and logistic models were used to determine whether changes in outcomes after versus before intervention were influenced by age, race or ethnicity, sex, and diabetes status, accounting for baseline values.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The study population (n=76) had a mean (SD) age of 64.4 (8.2) years, 88% (67\/76) was male, and 30.3% (23\/76) self-identified as African-American. Approximately 93% (71\/76) had hypertension, 36% (27\/76) had diabetes, and 9.2% (7\/76) had CKD according to the laboratory criteria but without an\n ICD-10<\/jats:italic>\n (International Classification of Diseases, 10th Edition) diagnosis. Patient interaction with the Kidney Score did not change the mean Patient Activation Measure (preintervention: 40.7%, postintervention: 40.2%,\n P<\/jats:italic>\n =.23) but increased the mean CKD knowledge score (preintervention: 40.0%, postintervention 51.1%,\n P<\/jats:italic>\n <.01), and changed the percentage of veterans who discussed CKD with their clinician (preintervention: 12.3%, postintervention: 31.5%,\n P<\/jats:italic>\n <.01). Changes did not differ by age, sex, race, or diabetes status. Results were limited by the small sample size due to low recruitment and minimal clinician engagement with the Clinical Practice Toolkit during the COVID-19 pandemic.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n One-time web-based tailored education for patients can increase CKD knowledge and encourage conversations about kidney health. Increasing patient activation for CKD management may require multilevel, longitudinal interventions that facilitate ongoing conversations about kidney health between patients and clinician teams.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/56855","type":"journal-article","created":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T16:31:50Z","timestamp":1745944310000},"page":"e56855-e56855","source":"Crossref","is-referenced-by-count":1,"title":["Impact of the Kidney Score Platform on Communication About and Patients\u2019 Engagement With Chronic Kidney Disease Health: Pre\u2013Post Intervention Study"],"prefix":"10.2196","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1484-8945","authenticated-orcid":false,"given":"Delphine","family":"Tuot","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8143-5759","authenticated-orcid":false,"given":"Susan","family":"Crowley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6937-8170","authenticated-orcid":false,"given":"Lois","family":"Katz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0157-6461","authenticated-orcid":false,"given":"Joseph","family":"Leung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4561-9707","authenticated-orcid":false,"given":"Delly","family":"Alcantara-Cadillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5439-9959","authenticated-orcid":false,"given":"Christopher","family":"Ruser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9070-2724","authenticated-orcid":false,"given":"Elizabeth","family":"Talbot-Montgomery","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8835-0192","authenticated-orcid":false,"given":"Joseph","family":"Vassalotti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,4,29]]},"reference":[{"key":"R1","unstructured":"Centers for Disease Control and Prevention. Chronic kidney disease in the united states. US Department of Health and Human Services, Centers for Disease Control and Prevention; 2019. URL: https:\/\/www.cdc.gov\/kidney-disease\/php\/data-research\/index.html [Accessed 26-02-2020]"},{"key":"R2","unstructured":"United States Renal Data System. 2018 USRDS annual data report: epidemiology of kidney disease in the united states. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 2018. 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US Department of Veterans Affairs\/Department of Defense; URL: https:\/\/www.healthquality.va.gov\/guidelines\/CD\/ckd [Accessed 26-02-2020]"},{"issue":"9","key":"R17","doi-asserted-by":"publisher","DOI":"10.2196\/40001","article-title":"Usability testing of the kidney score platform to enhance communication about kidney disease in primary care settings: qualitative think-aloud study","volume":"6","author":"Tuot","journal-title":"JMIR Form Res"},{"issue":"10","key":"R18","doi-asserted-by":"publisher","DOI":"10.2196\/22024","article-title":"The kidney score platform for patient and clinician awareness, communication, and management of kidney disease: protocol for a mixed methods study","volume":"9","author":"Tuot","journal-title":"JMIR Res Protoc"},{"issue":"6 Pt 1","key":"R19","doi-asserted-by":"publisher","first-page":"1918","DOI":"10.1111\/j.1475-6773.2005.00438.x","article-title":"Development and testing of a short form of the patient activation measure","volume":"40","author":"Hibbard","journal-title":"Health Serv Res"},{"issue":"3","key":"R20","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1053\/j.ajkd.2010.09.018","article-title":"Development and results of a kidney disease knowledge survey given to patients with CKD","volume":"57","author":"Wright","journal-title":"Am J Kidney Dis"},{"issue":"10","key":"R21","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1007\/s11606-009-1086-6","article-title":"Perceived susceptibility to chronic kidney disease among high-risk patients seen in primary care practices","volume":"24","author":"Boulware","journal-title":"J Gen Intern Med"},{"key":"R22","doi-asserted-by":"crossref","unstructured":"Lorig K Stewart A Ritter P Gonzalez V Lauren D Lynch J . 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