ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2015
Experiences of People with Diabetes by Payer Type: An Analysis of the Roper Diabetes Data Set.
Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- Navigating Diabetes Management in the Digital Era: Scoping Review of Online Health Information-Seeking Behavior.Journal of medical Internet research · 2026Article
- Increase Access, Reduce Disparities: Recommendations for Modifying Medicaid CGM Coverage Eligibility Criteria.Journal of diabetes science and technology · 2024Article
- Variations in Use of Diabetes Drugs With Cardiovascular Benefits Among Medicaid Patients.JAMA network open · 2022Article
- Medicaid Payer Status Is Associated With Increased 90-Day Resource Utilization, Reoperation, and Infection Following Aseptic Revision Total Hip Arthroplasty.The Iowa orthopaedic journal · 2022Article
- Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana.BMJ open diabetes research & care · 2021Article
- Flash CGM Is Associated With Reduced Diabetes Events and Hospitalizations in Insulin-Treated Type 2 Diabetes.Journal of the Endocrine Society · 2021Article
- Trends in Emergency Department Visits and Inpatient Admissions for Hyperglycemic Crises in Adults With Diabetes in the U.S., 2006-2015.Diabetes care · 2020Article
- For Diabetes Shared Savings Programs, 1 Year of Data Is Not Enough.Population health management · 2017Observational
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe study details the experiences of Medicare, Medicaid and privately insured patients with diabetes in the United States by focusing on how these distinct populations perceive their disease and manage their treatment.
methodsA national survey was fielded among a representative sample of 2,307 US adult diagnosed diabetes patients to investigate demographic, lifestyle, treatment, access to information, and socioeconomic status. This was achieved using a combination of telephone-based interviews and internet-based questionnaires administered via KnowledgePanel®, the only large-scale online panel based on a representative random sample of the US population.
resultsPatients with Medicaid-based insurance face significant differences in diagnosis, treatment and intensity of their diabetes as compared to their Medicare and privately insured counterparts. Medicaid patients develop diabetes at an earlier age with an increased level of severity, and face significant socioeconomic concerns. Medicaid patients also have different health information seeking preferences than their counterparts, impacted by technology use patterns and education preferences. All groups report challenges in paying for their diabetes care, though cost-sharing requirements are relatively low.
conclusionsSignificant variation in experience between Medicaid, Medicare, and privately insured patients can inform disease management and patient engagement strategies. Payers, clinicians and public health agencies can leverage these findings to design initiatives more effectively and understand how intergroup variability impacts program uptake and disease outcomes.
Identifiers
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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.