Evidence map›Paper›PMID 40386817›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2025

Utilizing Crowdsourcing to Incorporate the Voice of the Family When Developing a Diabetes Distress Intervention.

Nicole A Kahhan, Susana R Patton, Amy I Milkes, Mark A Clements, Jessica S Pierce

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Article in Diabetes spectrum : a publication of the American Diabetes Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nicole A KahhanNemours Children's Health-Jacksonville, Jacksonville, FL.ORCID https://orcid.org/0000-0002-7973-2153
Susana R PattonNemours Children's Health-Jacksonville, Jacksonville, FL.ORCID https://orcid.org/0000-0002-8902-6965
Amy I MilkesNemours Children's Health-Jacksonville, Jacksonville, FL.
Mark A ClementsChildren's Mercy Hospital, Kansas City, MO.ORCID https://orcid.org/0000-0002-2368-0331
Jessica S PierceNemours Children's Health-Orlando, Orlando, FL.ORCID https://orcid.org/0000-0001-6352-9225

Funding

Remedy to Diabetes Distress (R2D2): A Scalable Screen to Treat Program for School-Age FamiliesR01DK127493 · NIDDK · NEMOURS CHILDREN'S CLINIC · PI PATTON, SUSANA R · 2020 to 2024
$3.2M
NIDDK NIH HHS R01 DK127493
6 · The paper itself

Abstract

objectiveDiabetes distress (DD) is the negative emotional toll of living with or caring for type 1 diabetes, encompassing the pervasiveness of its daily demands. We recently developed Remedy to Diabetes Distress (R2D2), a screen-to-treat intervention for families of school-aged children with type 1 diabetes. This article reports on the use of crowdsourcing methods to design the intervention and capture the voice of parent stakeholders. RESEARCH DESIGN AND

methodsWe recruited 41 parents of 8- to 12-year-olds with type 1 diabetes. In a secure online social network, we posted study questions to participants, who could respond to our questions and view and comment on other participants' responses (i.e., participants could interact as a "crowd"). An iterative approach allowed our questions to move from broad to specific, enabling parent input on treatment content.

resultsUsing a conceptual model of DD, we examined responses and applied codes to distill qualitative categories. We established substantial agreement on identified categories, with fidelity at κ = 0.615. In addition to providing broad feedback (e.g., on preferred language for common phrases used in type 1 diabetes interventions), parents also provided feedback on specific treatment components and the overall tone of the intervention. Parents highlighted benefit-finding and positive talk/self-talk as pertinent for incorporation into treatment.

conclusionThis study illustrates the use of crowdsourcing methods to capture the voices of parents of school-aged children with type 1 diabetes when designing a DD intervention. The next phase of R2D2 will be a small pre-trial to evaluate the feasibility and acceptability of the intervention, followed by a proof-of-concept randomized controlled trial (RCT), during which family voices will continue to be incorporated.

Identifiers

PMID40386817
PMCPMC12078989

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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.