Evidence map›Paper›PMID 39472036›Full record

ArticleApplied clinical informatics2025

Right Information, Right Care, Right Patient, Right Time: Community Preferences to Inform a Self-Management Support Tool for Upper Respiratory Symptoms.

Damara Gutnick, Carlo Lutz, Kyle A Mani, Christine B Weldon, Julia R Trosman, Bruce Rapkin, Kimberly Jinnett, Judes Fleurimont, Savneet Kaur, Sunit P Jariwala

Abstract read
In one paragraph

Article in Applied clinical informatics, 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

10 authors.

Damara GutnickAlbert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Carlo LutzDepartment of Emergency Medicine, Albert Einstein College of Medicine, Bronx, New York, United States.
Kyle A ManiAlbert Einstein College of Medicine, Bronx, New York, United States.
Christine B WeldonThe Center for Business Models in Healthcare, Glencoe, Illinois, United States.
Julia R TrosmanThe Center for Business Models in Healthcare, Glencoe, Illinois, United States.
Bruce RapkinAlbert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Kimberly JinnettDepartment of Social and Behavioral Sciences, University of California, San Francisco, California, United States.
Judes FleurimontUniversity of Illinois Health - Mile Square Health Center, Chicago, United States.
Savneet KaurDivision of Allergy/Immunology, Albert Einstein College of Medicine, Bronx, New York, United States.
Sunit P JariwalaAlbert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDuring and since the coronavirus disease 2019 (COVID-19) pandemic, communities have needed to cope with several conditions that cause similar upper respiratory symptoms but are managed differently. We describe community reactions to a self-management toolkit for patients with upper respiratory symptoms to inform mobile e-health app development. The toolkit is based on the "4R" (Right Information, Right Care, Right Patient, Right Time) care planning and management model.

methodsThe 4R Cold, Flu, and COVID-19 Information Tool (4R-Toolkit) along with a brief evaluation survey were distributed in three ways: through a Bronx NY Allergy/Asthma clinic, through the Bronx Borough President's Office listserv, and through peer recruitment. The survey assessed respondents' perceptions of the 4R-Toolkit's accessibility, preferences for sharing symptoms with clinicians, social media use, and e-health literacy.

resultsWe obtained a diverse sample of 106 Bronx residents, with 83% reporting personal or a social contact with symptoms suggestive of COVID-19. Respondents varied in the information sources they preferred: computer (39%), smartphone (28%), paper (11%), and no preference (22%). Most (67%) reported that social media had at least some impact on their health care decisions. Regardless of media preferences, respondents were positive about the 4R-Toolkit. Out of 106 respondents, 91% believed the 4R-Toolkit would help people self-manage upper respiratory symptoms and 85% found it easy to understand. Respondents strongly endorsed retention of all 4R-Toolkit content domains with 81% indicating that they would be willing to share symptoms with providers using a 4R-Toolkit smartphone app.

conclusionThe 4R-Toolkit can offer patients and community members accurate and up-to-date information on COVID-19, the common cold, and the flu. The user-friendly tool is accessible to diverse individuals, including those with limited e-health literacy. It has potential to support self-management of upper respiratory symptoms and promote patient engagement with providers.

Indexed as

COVID-19Self-ManagementAdultAgedFemaleHealth LiteracyHumansMaleMiddle AgedMobile ApplicationsPandemicsSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID39472036
PMCPMC11839252

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.