ArticleResearch involvement and engagement2024
Empowering emerging adults with type 1 diabetes: crafting a financial and health insurance toolkit through community-based participatory action research.
Article in Research involvement and engagement, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Family member involvement when multiple family members have type 1 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2025Article
- Partnership with minority ethnic communities is crucial to tackling health inequalities in rheumatology: lessons from Rochester, New York, US.Clinical rheumatology · 2025Article
- Insights on Improving Health Insurance Literacy in Diabetes.The Journal of clinical endocrinology and metabolism · 2025Review
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
backgroundEmerging adults aged 18-30 years face challenges during life transitions, with an added burden of navigating the health care system and additional costs associated with diabetes. This stress is compounded by overall low levels of health insurance literacy in this population, as people may not know about available financial and health care resources to minimize suboptimal diabetes outcomes. This study aimed to tailor a financial and health insurance toolkit to emerging adults with type 1 diabetes, including racially, ethnically diverse, and Medicaid-insured individuals, through community-based participatory action research.
methodsAn academic research team and community members from a national organization held six online community advisory board (CAB) content-creation meetings to understand how to tailor a financial and health insurance Toolkit. The CAB was comprised of six racially and insurance-diverse emerging adults with type 1 diabetes and four content experts (clinical, financial, and insurance). Six 60-minute online CAB meetings were held via University Hospitals (UH)-encrypted Zoom over five months. Pre-reading materials were emailed to CAB members before the meetings. A moderator established the purpose of each meeting and briefly discussed meeting rules before each meeting commenced. During the meetings, the moderator guided the discussions and provided the CAB members opportunities to respond and build on one another's feedback. A deductive thematic qualitative analysis was utilized. Three researchers independently coded the cross-referenced and de-identified CAB meeting transcripts and then convened to reach a group consensus. Two CAB members performed member-checking.
resultsThe following key themes emerged to tailor the Toolkit: ensuring that content covers empowerment and self-advocacy, including genuine stories and multimedia visuals for aesthetics, addressing clinician bias, acknowledging racial and ethnic disparities in care, incorporating cultural representation, and demystifying Medicaid stigma.
conclusionsBy successfully partnering with the CAB and a community organization through a community-based participatory action research approach, we will develop a financial and health insurance Toolkit tailored to the needs of racially and ethnically diverse and Medicaid-insured emerging adults with type 1 diabetes.
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Registered trials
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.