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Related Concept Videos

Data Validation01:03

Data Validation

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Diabetes Mellitus: Type 2 and Gestational01:22

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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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Diabetes: Management and Pharmacotherapy01:15

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The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
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Diabetes Mellitus: Overview and Type I Subtype01:22

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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
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Diabetes: Symptoms, Diagnosis, and Complications01:15

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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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.

Canadian Journal of Diabetes
|March 11, 2017
PubMed
Summary
This summary is machine-generated.

The Diabetes Evaluation Framework for Innovative National Evaluations (DEFINE) was validated by experts to assess diabetes programs. This tool supports evidence acquisition for knowledge translation to reduce the diabetes burden.

Keywords:
delphi methoddiabète de type 2evaluationhealth policyhealth serviceshealthcareméthode Delphipolitiques en matière de santéservices de santésoins de santétype 2 diabetesévaluation

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Area of Science:

  • Diabetes research
  • Health services research
  • Knowledge translation

Background:

  • Rising diabetes prevalence necessitates effective program evaluation.
  • Existing evaluation tools may not adequately capture the complexities of diabetes care and innovation.

Purpose of the Study:

  • To assess the construct and content validity of the Diabetes Evaluation Framework for Innovative National Evaluations (DEFINE).
  • To establish DEFINE as a tool for guiding the evaluation, design, and implementation of diabetes programs with integrated knowledge translation principles.

Main Methods:

  • A modified Delphi method involving 3 individual questionnaire rounds and 1 group discussion round.
  • Twelve international experts in diabetes, research, knowledge translation, evaluation, and policy participated.
  • Consensus was achieved using quantitative (interquartile range ≤1) and qualitative thematic analysis.

Main Results:

  • Experts reached consensus on the construct and content validity of DEFINE.
  • Agreement was achieved on DEFINE's title, goal, 5-step evaluation approach, determinants of health schematics, indicators, measurement tools, and priority indicator set.

Conclusions:

  • DEFINE is a theoretically sound framework validated by experts for comprehensive evaluation of diabetes programs.
  • The framework can support evidence generation to inform knowledge translation for diabetes innovations.
  • DEFINE aims to reduce the overall burden of diabetes through improved program evaluation and implementation.