ArticleJAMIA open2022
Framework for integrating electronic patient-reported data in routine cancer care: an Oncology Intake Questionnaire.
Article in JAMIA open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Adaptation of digital integration of PROMs and PREMs in oncology during implementation: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Patient education on PROM completion in clinical care settings: a scoping review.Journal of patient-reported outcomes · 2026Article
- Visual complexity of dental intake forms and its association with dental treatment outcomes: A retrospective cohort study.PloS one · 2025Article
- Examining disparities in large-scale patient-reported data capture using digital tools among cancer patients at clinical intake.Cancer medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: As part of ongoing implementation of electronic patient-reported outcome tools at the Dana-Farber Cancer Institute, here we describe the development of the electronic New Patient Intake Questionnaire. Materials and Methods: The original New Patient Intake Questionnaire includes a review of symptoms, oncology history, family history, health behaviors, health and social status, health literacy and numeracy, which was modified for integration into the EHR using content determination, build and configuration, implementation, analytics, and interventions. The engagement of key stakeholders, including patients, clinical staff, and providers, throughout the development and deployment of the electronic Questionnaire was crucial to producing a successful tool. Continual modifications based on input of stakeholders (such as mode of tool deployment) were made to ensure the utility and usability of the tool for both patients and providers. Results: Implementation of the EHR-integrated electronic New Patient Intake Questionnaire improved collection of the PRD by increasing questionnaire accessibility for patients, while also providing all available data to clinicians and researchers. Careful consideration of the content and configuration of the questionnaire allowed for a successful, institute-wide implementation of the tool. Discussion: This effort demonstrates the feasibility of implementation of a system-wide electronic questionnaire, emphasizing the importance of iterative refinement to create a tool that is both patient-centric and usable for clinicians. Conclusions: The electronic New Patient Intake Questionnaire allows for systematic collection of the PRD, which should benefit cancer care outcomes through innovative care delivery and healthcare interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.