Evidence map›Paper›PMID 42479244›Full record

Observational studyJournal of patient-reported outcomes2026

Using electronic patient reported outcomes (ePROs) to improve supportive care in ambulatory oncology care: a CFIR-guided pre-implementation formative evaluation.

Eden R Brauer, Roshan Bastani, Eric Cheng, Stephanie Lazaro, Deborah J Wong, Maie A St John, Patricia A Ganz

Abstract readObservational Study
In one paragraph

Observational study in Journal of patient-reported outcomes, 2026. 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

7 authors.

Eden R BrauerUniversity of California, Los Angeles (UCLA), Los Angeles, USA. erbrauer@mednet.ucla.edu.
Roshan BastaniUniversity of California, Los Angeles (UCLA), Los Angeles, USA.
Eric ChengUniversity of California, Los Angeles (UCLA), Los Angeles, USA.
Stephanie LazaroUniversity of California, Los Angeles (UCLA), Los Angeles, USA.
Deborah J WongUniversity of California, Los Angeles (UCLA), Los Angeles, USA.
Maie A St JohnUniversity of California, Los Angeles (UCLA), Los Angeles, USA.
Patricia A GanzUniversity of California, Los Angeles (UCLA), Los Angeles, USA.

Funding

Harnessing the EHR for the Delivery of Supportive Care in an Oncology SettingK08CA252615 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRAUER, EDEN R. · 2021 to 2025
$934k
NCI NIH HHS K08 CA252615NIH/NCI-National Cancer Institute K08CA252615
6 · The paper itself

Abstract

backgroundSystematic collection of patient-reported outcomes via electronic health records can improve symptom assessment and supportive care delivery in oncology, yet implementation is often hindered by inadequate attention to end-user needs and organizational context. Guided by an implementation science framework, we conducted a formative evaluation to inform design and implementation planning of an electronic patient-reported outcome supportive care screening system in ambulatory oncology care, using head and neck cancer as a use case.

methodsA prospective mixed-methods observational study was conducted using semi-structured interviews as part of a pre-implementation formative evaluation. Eligible participants were target users of the proposed supportive care screening system, including (1) clinical staff and (2) patients with head and neck cancer from a single health care system. Using the Consolidated Framework for Implementation Research as a guiding framework, we elicited user feedback through interview and prototype engagement. Quantitative measures included patient symptom burden and validated pre-implementation measures of acceptability, appropriateness, feasibility, and usability. For data analyses, we used directed content analysis and matrix analysis for qualitative data, and descriptive and comparative statistics for quantitative assessments.

resultsForty-six target users (20 clinical staff, 26 patients) participated. Both groups expressed strong tension for change, recognizing many inadequacies of the current approach to symptom assessment. Clinical staff described current practices as "haphazard," while patients recounted missed opportunities for support and preventable harm. Electronic health record integration enhanced perceived compatibility, though time constraints and alert fatigue emerged as potential barriers. Clinical staff emphasized the need for clear symptom thresholds and actionable referral criteria; patients emphasized that their sustained engagement depended on evidence of clinicians using the data in their care. Pre-implementation scores indicated strong readiness across both groups: acceptability (clinical staff 4.47/5, patients 4.21/5), appropriateness (4.46/5, 4.24/5), feasibility (4.41/5, 4.35/5), and usability (82.2/100, 85.6/100). Findings informed key design priorities and implementation strategies.

conclusionsSystematic pre-implementation formative evaluation revealed important barriers, facilitators, and contextual insights that shaped both intervention design and implementation approach. High scores on leading indicators suggest strong organizational readiness and perceived value. This user-informed development process provides a replicable model for optimizing electronic patient-reported outcome systems before deployment.

Indexed as

Ambulatory CareElectronic Health RecordsHead and Neck NeoplasmsMedical OncologyPatient Reported Outcome MeasuresAdultAgedFemaleHumansImplementation ScienceMaleMiddle AgedProspective StudiesCFIRClinical decision supportElectronic patient-reported outcomesFormative evaluationHead and neck cancerImplementation scienceSupportive care

Identifiers

PMID42479244
PMCPMC13677648

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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.