Evidence map›Paper›PMID 41118619›Full record

Trial reportJCO oncology practice2025

Impact of an Electronic Patient-Reported Outcome-Informed Clinical Decision Support Tool on Clinical Discussions With Head and Neck Cancer Survivors: Findings From the HN-STAR Randomized Controlled Trial (WF-1805CD).

Talya Salz, Emily V Dressler, Carol Kittel, Andrew Salner, Deborah K Mayer, Chandylen L Nightingale, Ryan T Hughes, Anuja Kriplani, Thomas M Atkinson, Sujata Patil and 8 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JCO oncology practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Talya SalzDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-4515-6004
Emily V DresslerDivision of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-6054-7839
Carol KittelDivision of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-4512-0634
Andrew SalnerHartford Healthcare Cancer Institute, Hartford Hospital, Hartford, CT.ORCID 0000-0002-3145-2953
Deborah K MayerSchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0001-7007-4978
Chandylen L NightingaleDivision of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-2275-9849
Ryan T HughesDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC.ORCID 0000-0003-1548-9753
Anuja KriplaniDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Thomas M AtkinsonDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-4965-3913
Sujata PatilDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH.ORCID 0000-0003-1706-5321
Kevin C OeffingerDepartment of Medicine, Duke University, Durham, NC.ORCID 0000-0003-0806-7894
Sarah N PriceDivision of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-1622-1700
Sarah AsadDivision of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC.
Jessica SheedyDivision of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC.
Sankeerth JinnaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8478-5017
Glenn LesserDepartment of Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
Jamie S OstroffDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2671-5680
Kathryn E WeaverDivision of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0001-9006-4064

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Wake Forest NCORP Research BaseUG1CA189824 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Emily Van Meter Dressler, GLENN J LESSER · 2014 to 2026
$57.9M
Refining Cognitive Behavioral Therapy for Insomnia in Lung Cancer Survivors: Enhancing Feasibility, Acceptability, and Symptom ManagementK99CA297014 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Sarah Newmeyer Price · 2025 to 2026
$225k
NCI NIH HHS K99 CA297014NCI NIH HHS P30 CA008748NCI NIH HHS UG1 CA189824
6 · The paper itself

Abstract

purposePost-treatment head and neck cancer (HNC) survivors experience multiple symptoms and behavioral health issues. We developed Head and Neck Survivorship Tool: Assessments and Recommendation (HN-STAR), a clinical decision support tool using electronic patient-reported outcomes (ePROs) to improve follow-up of HNC survivors.

methodsWe conducted a cluster-randomized controlled trial of oncology practices in the Wake Forest National Cancer Institute Community Oncology Research Program Research Base comparing HN-STAR to usual care (UC) during a routine clinic visit. Eligible survivors completed treatment for HNC < 2 years before. Before the visit, survivors completed ePROs rating the burden of 26 concerns (symptoms and health behaviors). During the visit, HN-STAR presented survivor's concerns and tailored clinician recommendations. After the visit, survivors reported which concerns were discussed. To evaluate differences in concerns discussed in clinic, concerns were characterized as absent or mild versus burdensome, with comparisons between arms for number of concerns discussed, number of burdensome concerns discussed, and proportion of burdensome concerns discussed, assessed by mixed models adjusted for within-practice correlation.

resultsThree hundred forty-nine survivors at 28 practices reported a previsit mean of 7.5 burdensome concerns (standard deviation, 4.6), most commonly xerostomia (70%), taste changes (53%), and neck or shoulder stiffness (48%). In adjusted models, survivors in the HN-STAR arm had more burdensome concerns discussed (4.1

conclusionIn a large, national, diverse, and symptomatic sample of HNC survivors at community oncology practices, using an ePRO-informed clinical decision support tool increased the likelihood that burdensome concerns were discussed in clinic. Alerting providers to burdensome concerns and presenting guideline-concordant management options at the point of care may improve provider-survivor interactions.

Indexed as

Cancer SurvivorsDecision Support Systems, ClinicalHead and Neck NeoplasmsPatient Reported Outcome MeasuresAdultAgedFemaleHumansMaleMiddle Aged

Identifiers

PMID41118619
PMCPMC12766625

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Registered trials

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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 OpenQuestion graph.