Evidence map›Paper›PMID 40857717›Full record

ArticleJMIR formative research2025

Development of a Theory-Based mHealth App for Fatigue Management in Lupus: Human-Centered Design Approach.

Anna Deck, Kiran Singh, Paula Caras, Amy LeClair, Monique Gore-Massy, Faye Chiu, Lucas Ogura Dantas, Timothy McAlindon, Sara Folta, Shanthini Kasturi

Abstract read
In one paragraph

Article in JMIR formative research, 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
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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.

Anna DeckSchool of Medicine, Tufts University, Boston, MA, United States.ORCID 0000-0003-1940-2897
Kiran SinghDivision of Rheumatology, Department of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA, 02111, United States, 1 617-636-5990.ORCID 0009-0001-4314-5475
Paula CarasSchool of Medicine, Tufts University, Boston, MA, United States.ORCID 0009-0008-0658-6723
Amy LeClairDepartment of Medicine, Tufts Medical Center, Boston, MA, United States.ORCID 0000-0001-5333-1813
Monique Gore-MassyPatient Partner, West Orange, NJ, United States.ORCID 0009-0006-2694-3965
Faye ChiuPatient Partner, New York, NY, United States.ORCID 0009-0009-2947-0122
Lucas Ogura DantasAmbulomics, Sao Paolo, Brazil.ORCID 0000-0002-6188-7552
Timothy McAlindonDivision of Rheumatology, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID 0000-0002-5031-1021
Sara FoltaFriedman School of Nutrition, Tufts University, Boston, MA, United States.ORCID 0000-0002-4366-5622
Shanthini KasturiDivision of Rheumatology, Department of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA, 02111, United States, 1 617-636-5990.ORCID 0000-0001-8496-5595

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
Targeted Peer Coaching to Reduce Fatigue in Lupus: A Patient-Centered Behavioral InterventionK23AR078177 · NIAMS · TUFTS MEDICAL CENTER · PI KASTURI, SHANTHINI · 2021 to 2024
$620k
NCATS NIH HHS UL1 TR002544NIAMS NIH HHS K23 AR078177
6 · The paper itself

Abstract

Background: Fatigue is a highly prevalent and debilitating symptom of systemic lupus erythematosus (SLE), significantly affecting the quality of life and employment of those living with the disease. Nonpharmacologic approaches, such as physical activity interventions, have shown promise in reducing fatigue but are often resource-intensive and lack grounding in behavior change theory. Mobile health (mHealth) technology offers a scalable approach to delivering behavioral interventions. Objective: This study describes the development of an mHealth app, grounded in behavior change theory, to support fatigue self-management in individuals with SLE by promoting physical activity. Methods: We used a human-centered design (HCD) approach to develop an mHealth app grounded in the self-determination theory of motivation and the social cognitive theory of behavior change. The process included two phases: (1) inspiration and (2) ideation. In the inspiration phase, key user needs were identified from focus groups of adults with SLE. During the ideation phase, a prototype was developed and iteratively refined based on feedback from additional individuals with SLE who participated in multiple rounds of semistructured interviews and online feedback surveys. Results: In the inspiration phase, 12 individuals participated in 2 focus groups and identified key priorities for the mHealth intervention, including symptom tracking (fatigue, pain, sleep, and physical activity), reliable educational content, social connection, and reminders. In the ideation phase, a prototype was developed based on these findings and refined through 2 rounds of user feedback interviews with 12 additional adults with SLE. Participants rated the features and format of the prototype favorably, with average scores ranging from 1.4 to 2.1 on a 5-point Likert scale (1=highest rating), and 78% (7/9) of interviewees reported they were likely or highly likely to use the app. Several themes around preferences for the app emerged from the interviews, including the importance of: (1) community and social connection, (2) accessibility and inclusion, (3) options for customization, (4) integration of the app with existing digital health tools, and (4) notifications for reminders and motivational messages. Based on this feedback, the prototype was refined, and a digital messaging feature was created. A library of 154 reminders and motivational messages was developed with input from 10 individuals with SLE who took part in a third round of interviews. Conclusions: Using an HCD approach, we developed an mHealth app tailored to the needs of individuals with SLE, integrating behavior change theory to support fatigue self-management. Through engagement with end users, we iteratively refined the app to address key priorities and enhance usability. This study demonstrates the feasibility of using HCD to develop an mHealth app grounded in behavior change theory and provides a model for creating rigorous digital health interventions for individuals with SLE and other chronic conditions.

Indexed as

FatigueLupus Erythematosus, SystemicMobile ApplicationsSelf-ManagementAdultExerciseFemaleFocus GroupsHumansMaleMiddle AgedQuality of LifeTelemedicineUser-Centered Designbehavioral interventionbehavior change theorydigital healthfatiguehuman-centered designmHealthquality of lifesystemic lupus erythematosus

Identifiers

PMID40857717
PMCPMC12380406

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.