Related Experiment Video
Updated: Mar 6, 2026

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
The Diabetes Evaluation Framework for Innovative National Evaluations (DEFINE): Construct and Content Validation
Jann Paquette-Warren1, Marie Tyler1, Meghan Fournie1
1Centre for Studies in Family Medicine, Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Objectives:
In order to scale-up successful innovations, more evidence is needed to evaluate programs that attempt to address the rising prevalence of diabetes and the associated burdens on patients and the healthcare system. This study aimed to assess the construct and content validity of the Diabetes Evaluation Framework for Innovative National Evaluations (DEFINE), a tool developed to guide the evaluation, design and implementation with built-in knowledge translation principles.
Methods:
A modified Delphi method, including 3 individual rounds (questionnaire with 7-point agreement/importance Likert scales and/or open-ended questions) and 1 group round (open discussion) were conducted. Twelve experts in diabetes, research, knowledge translation, evaluation and policy from Canada (Ontario, Quebec and British Columbia) and Australia participated. Quantitative consensus criteria were an interquartile range of ≤1. Qualitative data were analyzed thematically and confirmed by participants. An importance scale was used to determine a priority multi-level indicator set. Items rated very or extremely important by 80% or more of the experts were reviewed in the final group round to build the final set.
Results:
Participants reached consensus on the content and construct validity of DEFINE, including its title, overall goal, 5-step evaluation approach, medical and nonmedical determinants of health schematics, full list of indicators and associated measurement tools, priority multi-level indicator set and next steps in DEFINE's development.
Conclusions:
Validated by experts, DEFINE has the right theoretic components to evaluate comprehensively diabetes prevention and management programs and to support acquisition of evidence that could influence the knowledge translation of innovations to reduce the burden of diabetes.
Related Concept Videos
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Data Validation
Key parameters for method validation include:
Diabetes Mellitus: Type 2 and Gestational
Diabetes: Management and Pharmacotherapy
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
Diabetes Mellitus: Overview and Type I Subtype
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
Diabetes: Symptoms, Diagnosis, and Complications

