Evidence map›Paper›PMID 36315217›Full record

ArticleJMIR human factors2022

The Virtual Inclusive Digital Health Intervention Design to Promote Health Equity (iDesign) Framework for Atrial Fibrillation: Co-design and Development Study.

Nino Isakadze, Nancy Molello, Zane MacFarlane, Yumin Gao, Erin M Spaulding, Yvonne Commodore Mensah, Francoise A Marvel, Shireen Khoury, Joseph E Marine, Erin D Michos and 5 more

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

15 authors at 1 institution in 1 country.

Nino IsakadzeDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-5396-2110
Nancy MolelloCenter for Health Equity, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-0145-4875
Zane MacFarlaneDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-3879-8778
Yumin GaoDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-5297-7524
Erin M SpauldingSchool of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-8390-2277
Yvonne Commodore MensahCenter for Health Equity, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-5054-3025
Francoise A MarvelDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-6422-1772
Shireen KhouryDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-6904-4587
Joseph E MarineDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-5035-5342
Erin D MichosDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-5547-5084
David SpraggDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-9190-9804
Ronald D BergerDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-7427-6750
Hugh CalkinsDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-9262-9433
Lisa A CooperCenter for Health Equity, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-6707-6390
Seth S MartinDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-7021-7622
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphone ownership and mobile app use are steadily increasing in individuals of diverse racial and ethnic backgrounds living in the United States. Growing adoption of technology creates a perfect opportunity for digital health interventions to increase access to health care. To successfully implement digital health interventions and engage users, intervention development should be guided by user input, which is best achieved by the process of co-design. Digital health interventions co-designed with the active engagement of users have the potential to increase the uptake of guideline recommendations, which can reduce morbidity and mortality and advance health equity.

objectiveWe aimed to co-design a digital health intervention for patients with atrial fibrillation, the most common cardiac arrhythmia, with patient, caregiver, and clinician feedback and to describe our approach to human-centered design for building digital health interventions.

methodsWe conducted virtual meetings with patients with atrial fibrillation (n=8), their caregivers, and clinicians (n=8). We used the following 7 steps in our co-design process: step 1, a virtual meeting focused on defining challenges and empathizing with problems that are faced in daily life by individuals with atrial fibrillation and clinicians; step 2, a virtual meeting focused on ideation and brainstorming the top challenges identified during the first meeting; step 3, individualized onboarding of patients with an existing minimally viable version of the atrial fibrillation app; step 4, virtual prototyping of the top 3 ideas generated during ideation; step 5, further ranking by the study investigators and engineers of the ideas that were generated during ideation but were not chosen as top-3 solutions to be prototyped in step 4; step 6, ongoing engineering work to incorporate top-priority features in the app; and step 7, obtaining further feedback from patients and testing the atrial fibrillation digital health intervention in a pilot clinical study.

resultsThe top challenges identified by patients and caregivers included addressing risk factor modification, medication adherence, and guidance during atrial fibrillation episodes. Challenges identified by clinicians were complementary and included patient education, addressing modifiable atrial fibrillation risk factors, and remote atrial fibrillation episode management. Patients brainstormed more than 30 ideas to address the top challenges, and the clinicians generated more than 20 ideas. Ranking of the ideas informed several novel or modified features aligned with the Theory of Health Behavior Change, features that were geared toward risk factor modification; patient education; rhythm, symptom, and trigger correlation for remote atrial fibrillation management; and social support.

conclusionsWe co-designed an atrial fibrillation digital health intervention in partnership with patients, caregivers, and clinicians by virtually engaging in collaborative creation through the design process. We summarize our experience and describe a flexible approach to human-centered design for digital health intervention development that can guide innovative clinical investigators.

Indexed as

atrial fibrillationcardiaccardiologydigital health interventionhealth equityhuman-centered designmedication adherencemobile applicationsmartphonevirtual healthvirtual meeting

Identifiers

PMID36315217
PMCPMC9664334
OpenAlexW4307841611

What OpenQuestion holds

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LicenceCC BY
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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.