ArticleJCO oncology practice2026
Automated Portal-Enabled Elicitation of Health-Related Patient Values in Solid Tumor Oncology: Feasibility and Patient Characteristics Associated With Patient Response.
Article in JCO oncology practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
10 authors.
Funding
Abstract
purposePatient portals increase communication, but little is known about response rates or patient characteristics associated with patient responses to portal-enabled questionnaires about health-related values (HRVs).
methodsWe tested feasibility of sending seven HRV questions by portal to medical oncology patients, with responses automatically returned to clinicians. HRV questionnaires were sent 1 week in advance of scheduled follow-up visits. The primary feasibility measure was patient response rate. Secondarily, we assessed patient characteristics associated with responses, and oncology clinicians' impressions.
resultsOne thousand five hundred fifty-six HRV questionnaires were sent by portal to as many individual patients of five total clinics between July 2023 and July 2024. Seven hundred thirty questionnaires were returned with at least one of the questions answered (47% response rate). Response rate increased significantly (45%-50%,
conclusionAutomating a patient portal-driven process to broadly scale elicitation of medical oncology outpatients' HRVs and sending aggregated reports of HRVs to oncology teams are feasible and valued by clinicians. Patient characteristics appear to be associated with responses. Ongoing research will investigate technology-supported strategies to optimize response rates across diverse populations (including minoritized patients who may suffer digital health inequity), and measure effects on person-centered communication and care outcomes.
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