Evidence map›Paper›PMID 36603838›Full record

ArticleApplied clinical informatics2023

A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System.

Meghan Reading Turchioe, Sabrina Mangal, Parag Goyal, Kelly Axsom, Annie Myers, Lisa G Liu, Jessie Lee, Thomas R Campion, Ruth Masterson Creber

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

9 authors at 5 institutions in 1 country.

Meghan Reading TurchioeColumbia University School of Nursing, New York, New York, United States.
Sabrina MangalUniversity of Washington School of Nursing, Seattle, Washington, United States.
Parag GoyalDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York, United States.
Kelly AxsomDivision of Cardiology, Center for Advanced Cardiac Care, Columbia University Medical Center, New York, New York, United States.
Annie MyersColumbia University School of Nursing, New York, New York, United States.
Lisa G LiuDepartment of Pediatrics, University of California San Francisco, San Francisco, California, United States.
Jessie LeeDepartment of Pediatrics, University of California San Francisco, San Francisco, California, United States.
Thomas R CampionUniversity of Washington School of Nursing, Seattle, Washington, United States.
Ruth Masterson CreberColumbia University School of Nursing, New York, New York, United States.
Columbia University · USUniversity of California, San Francisco · USUniversity of Washington · USColumbia University Irving Medical Center · USCornell University · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Should we return patient reported outcomes to human subjects participants?-exploring ethical obligationsR00NR016275 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASTERSON CREBER, RUTH MARIE · 2018 to 2020
$896k
Data-driven shared decision-making to reduce symptom burden in atrial fibrillationR00NR019124 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TURCHIOE, MEGHAN READING · 2022 to 2024
$732k
Data-driven shared decision-making to reduce symptom burden in atrial fibrillationK99NR019124 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI TURCHIOE, MEGHAN READING · 2020 to 2021
$175k
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NINR NIH HHS K99 NR019124NINR NIH HHS R00 NR016275NINR NIH HHS R00 NR019124
6 · The paper itself

Abstract

objectivesHealth care systems are primarily collecting patient-reported outcomes (PROs) for research and clinical care using proprietary, institution- and disease-specific tools for remote assessment. The purpose of this study was to conduct a Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) evaluation of a scalable electronic PRO (ePRO) reporting and visualization system in a single-arm study.

methodsThe

resultsReach-the total reach of the study was 70 participants (median age: 69, 31% female, 17% Black or African American, 27% reported not having enough financial resources). Effectiveness-half (51%) of participants completed the 2-week follow-up survey and 36% completed all follow-up surveys. Adoption-the desire for increased self-knowledge, the value of tracking symptoms, and altruism motivated participants to adopt the tool. Implementation-the predisposing factor was access to, and comfort with, computers. Three enabling factors were incorporation into routines, multimodal nudges, and ease of use. Maintenance-reinforcing factors were perceived usefulness of viewing symptom reports with the tool and understanding the value of sustained symptom tracking in general.

conclusionChallenges in ePRO reporting, particularly sustained patient engagement, remain. Nonetheless, freely available, scalable, disease-agnostic systems may pave the road toward inclusion of a more diverse range of health systems and patients in ePRO collection and use.

Indexed as

Patient Reported Outcome MeasuresSoftwareAgedDelivery of Health CareElectronicsFemaleHumansMaleSurveys and Questionnaires

Identifiers

PMID36603838
PMCPMC10033223
OpenAlexW4313555894

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.