ReviewJournal of diabetes investigation2022
Reimagining care for young adults living with type 1 diabetes.
Review in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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
11 citing papers in PubMed, 15 citations in OpenAlex.
- Trends in Total Daily Dose and Variability of Insulin Requirements in Newly Diagnosed Children and Adolescents with Type 1 Diabetes over 48 Months.Diabetes technology & therapeutics · 2025Trial
- Perceptions and experiences of young adults and their healthcare team of the D1 Now type 1 diabetes intervention.PloS one · 2025Trial
- Investigation of the Content Validity, Feasibility, Internal Consistency, and Construct Validity of 5 Patient-Reported Outcome Questions on Patient Involvement in Care Among Adolescents With Type 1 Diabetes: Multimethods Study.Journal of participatory medicine · 2026Article
- Insulin Bolus Patterns in Newly Diagnosed Youth With Type 1 Diabetes Using a Hybrid Closed-Loop Insulin Delivery System.Journal of diabetes science and technology · 2026Article
- Closed-loop therapy: recent advancements and potential predictors of glycemic outcomes.Expert opinion on drug delivery · 2025Review
- Diabetes technology use in young adults living with type 1 diabetes in Ireland: A qualitative interview study.British journal of health psychology · 2025Article
- Safety of Options to "Boost" (Enhancing Insulin Infusion Rates) and "Ease-Off" (Reducing Insulin Infusion Rates) in CamAPS FX Hybrid Closed-Loop System: A Real-World Analysis.Diabetes technology & therapeutics · 2025Article
- The Need for Peer Support and Codesigned Services: A Qualitative Study to Understand Diabetes Education Program Needs of Adolescents With Type 1 Diabetes.Pediatric diabetes · 2025Article
- Article
- Assessing collaborative efforts of making care fit for each patient: A systematic review.Health expectations : an international journal of public participation in health care and health policy · 2023Review
- Reimagining care for young adults living with type 1 diabetes.Journal of diabetes investigation · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 3 countries.
Funding
Abstract
Young adults living with type 1 diabetes often struggle to achieve what clinicians consider to be optimal levels of metabolic control. Despite the impact that this can have on a young person's future risk of complications, there are relatively few studies reporting new ways of organizing or delivering care to this cohort. In this article, we explore some of the reasons why young adult diabetes care is challenging, and describe approaches to "re-imagining" how care might be improved. The work is informed by the 'Making Care Fit' collaborative and by a program of research, entitled D1 Now, involving co-design of a complex person-centered intervention with young adults.
Indexed as
Identifiers
What OpenQuestion holds
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.