Related Experiment Video
Updated: May 5, 2026

A Protocol for Constructing a Rat Wound Model of Type 1 Diabetes
Published on: February 17, 2023
Protocol for the diabetes, distress and disparities (3D) study: an explanatory sequential mixed-methods design
Caitlan DeVries1, Alejandro Rodríguez-Putnam1, Alana Ewen2
1Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor, Michigan, USA.
Introduction:
Psychosocial factors impact diabetes outcomes, yet healthcare systems remain inadequately equipped to address these needs. Research centring on the experiences of people with diabetes (PWD) can inform programme implementation, policies and partnerships to address psychosocial care needs. The goals of the diabetes, distress and disparities (3D) study are to quantify the psychosocial care needs of PWD in a large academic medical centre, generate insights regarding how psychosocial factors shape diabetes outcomes and identify modifiable determinants of psychosocial care.
Methods And Analysis:
The 3D study is recruiting adults with type 1 (T1D), type 2 (T2D), latent autoimmune diabetes in adults (LADA) and gestational diabetes (GD) from the Caswell Diabetes Registry at Michigan Medicine. The 3D study uses an explanatory sequential mixed-methods design with two phases. Phase I (P1: target n=500, began July 2023) consists of an online survey to quantify prevalence and examine correlates of a wide range of psychosocial factors (eg, diabetes-related distress, depression, stigma). This survey was refined through consultation with PWD. Phase II (P2) involves semi-structured telephone interviews with n=40 P1 respondents, recruited using maximum variation sampling informed by demographic characteristics and responses to psychosocial survey measures. P2 will explore a subset of factors (eg, patient-provider communication, social support, barriers/promoters to care). To date, n=573 (5% response rate) have completed P1. In March 2024, we identified a target sample of P1 respondents (n=65) for recruitment into P2. All data collection was completed by September 2024. Analysis will involve quantitative linear and logistic regression to understand correlates of psychosocial outcomes from P1, and qualitative content analysis to clarify potential points of intervention from P2.
Ethics And Dissemination:
This study is approved by the University of Michigan Institutional Review Board (HUM00223735). Protocol materials are available at https://osf.io/yfz6b/. Findings from this study will be disseminated through peer-reviewed publications, presentations at conferences and outreach to key stakeholders, including creating educational materials for patient advocacy groups and interprofessional practice.
More Related Videos
09:12Optimization of Processing of Tiebangchui with Highland Barley Wine Based on the Box-Behnken Design Combined with the Entropy Method
Published on: May 19, 2023
08:15Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
Published on: May 10, 2024
Related Concept Videos
Group Design
Crossover Experiments
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...