Evidence map›Paper›PMID 40094792›Full record

ArticleJMIR cardio2025

Optimization of the Care4Today Digital Health Platform to Enhance Self-Reporting of Medication Adherence and Health Experiences in Patients With Coronary or Peripheral Artery Disease: Mixed Methods Study.

Stephanie Juan, Ante Harxhi, Simrati Kaul, Breeana Woods, Monica Tran, Gabrielle Geonnotti, Archit Gupta, Emily Dean, Cassandra E Saunders, Gloria Payne

Abstract read
In one paragraph

Article in JMIR cardio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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.

Stephanie JuanJanssen Scientific Affairs, LLC, Titusville, NJ, United States.ORCID https://orcid.org/0009-0000-9399-8073
Ante HarxhiJanssen Scientific Affairs, LLC, Titusville, NJ, United States.ORCID https://orcid.org/0009-0007-7052-2524
Simrati KaulJanssen Scientific Affairs, LLC, Titusville, NJ, United States.ORCID https://orcid.org/0009-0004-0206-9244
Breeana WoodsJohnson & Johnson Technology Services, Titusville, NJ, United States.ORCID https://orcid.org/0009-0004-8585-9283
Monica TranJanssen Scientific Affairs, LLC, Titusville, NJ, United States.ORCID https://orcid.org/0009-0001-3130-0714
Gabrielle GeonnottiJanssen Scientific Affairs, LLC, Titusville, NJ, United States.ORCID https://orcid.org/0009-0000-8584-5536
Archit GuptaZS Associates, San Francisco, CA, United States.ORCID https://orcid.org/0009-0001-1175-3281
Emily DeanCorEvitas, part of ThermoFisher Scientific, Waltham, MA, United States.ORCID https://orcid.org/0009-0004-2776-7217
Cassandra E SaundersParticipant in Janssen Patient Engagement Research Council, Philadelphia, PA, United States.ORCID https://orcid.org/0009-0007-1803-6377
Gloria PayneParticipant in Janssen Patient Engagement Research Council, Maynard, MA, United States.ORCID https://orcid.org/0009-0009-4312-6205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCare4Today is a digital health platform developed by Johnson & Johnson comprising a patient mobile app (Care4Today Connect), a health care provider (HCP) portal, and an educational website. It aims to improve medication adherence; enable self-reporting of health experiences; provide patient education; enhance connection with HCPs; and facilitate data and analytics learning across disease areas, including cardiovascular disease.

objectiveThis study aimed to gather patient feedback on Care4Today Connect, specifically the coronary artery disease (CAD) and peripheral artery disease (PAD) module, and to cocreate and validate features with patients to optimize the app experience for those with CAD, PAD, or both.

methodsWe conducted 3 research engagements between November 2022 and May 2023. Participants were US-based adults recruited and consented through the sponsor's Patient Engagement Research Council program. Participants self-reported a diagnosis of cardiovascular disease, and in some cases, specifically, CAD, PAD, or both. Part 1, internet survey, posed quantitative questions with Likert-scale answer options about existing app features. Part 2, virtual focus group, and part 3, virtual individual interviews, both used semistructured qualitative discussion to cocreate and validate new app enhancements. The quantitative data from part 1 was evaluated descriptively to categorize mobile health app use, confidence in the ability to use the app, and motivations for app use. The qualitative discussions from parts 2 and 3 were synthesized to understand participants' app needs and preferences to inform an optimal app experience.

resultsThe response rate for part 1, internet survey, was 67% (37/55). Most participants felt at least somewhat confident using the app after seeing the newly added app tutorial (33/37, 89%), and at least somewhat confident in their ability to earn points for completing activities using app instructions (33/37, 89%). In part 2, virtual focus group (n=3), and part 3, virtual individual interviews (n=8), participants collectively preferred to enhance the app with (1) the ability to automatically add medication data for tracking and (2) the ability to receive relevant care team feedback on their self-reported health experiences. Participants would be willing to spend 10-15 minutes a day tracking 4-5 health experiences, especially those requested by their HCP.

conclusionsParticipants prefer apps that can reduce user burden and provide information relevant to them. Care4Today Connect can optimize the user experience for patients with CAD, PAD, or both with the automatic addition of medication data for tracking and in-app care team feedback on patient self-reported health experiences.

Indexed as

Coronary Artery DiseaseMedication AdherenceMobile ApplicationsPeripheral Arterial DiseaseSelf ReportAdultAgedDigital HealthFemaleHumansMaleMiddle AgedTelemedicineappcardiovascular diseaseCare4Todaycoronary artery diseasedigital healthhealth trackermedication remindermHealthmobile healthperipheral artery diseasequalitative

Identifiers

PMID40094792
PMCPMC11959196

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.