Assessing patient-reported outcomes for automated insulin delivery systems: the psychometric properties of the INSPIRE measures

Diabet Med. 2019 May;36(5):644-652. doi: 10.1111/dme.13930. Epub 2019 Mar 20.

Abstract

Aim: Participants in clinical trials assessing automated insulin delivery systems report perceived benefits and burdens that reflect their experiences and may predict their likelihood of uptake and continued use of this novel technology. Despite the importance of understanding their perspectives, there are no available validated and reliable measures assessing the psychosocial aspects of automated insulin delivery systems. The present study assesses the initial psychometric properties of the INSPIRE measures, which were developed for youth and adults with Type 1 diabetes, as well as parents and partners.

Methods: Data from 292 youth, 159 adults, 150 parents of youth and 149 partners of individuals recruited from the Type 1 Diabetes Exchange Registry were analysed. Participants completed INSPIRE questionnaires and measures of quality of life, fear of hypoglycaemia, diabetes distress, glucose monitoring satisfaction. Exploratory factor analysis assessed factor structures. Associations between INSPIRE scores and other measures, HbA1c , and technology use assessed concurrent and discriminant validity.

Results: Youth, adult, parent and partner measures assess positive expectancies of automated insulin delivery systems. Measures range from 17 to 22 items and are reliable (α = 0.95-0.97). Youth, adult and parent measures are unidimensional; the partner measure has a two-factor structure (perceptions of impact on partners versus the person with diabetes). Measures showed concurrent and discriminant validity.

Conclusions: INSPIRE measures assessing the positive expectancies of automated insulin delivery systems for youth, adults, parents and partners have meaningful factor structures and are internally consistent. The developmentally sensitive INSPIRE measures offer added value as clinical trials test newer systems, systems become commercially available and clinicians initiate using these systems.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Blood Glucose / analysis
  • Blood Glucose Self-Monitoring / instrumentation
  • Diabetes Mellitus, Type 1 / blood
  • Diabetes Mellitus, Type 1 / drug therapy*
  • Diabetes Mellitus, Type 1 / epidemiology
  • Diabetes Mellitus, Type 1 / psychology
  • Female
  • Humans
  • Insulin / administration & dosage*
  • Insulin Infusion Systems*
  • Male
  • Middle Aged
  • Pancreas, Artificial / standards
  • Patient Reported Outcome Measures*
  • Patient Satisfaction / statistics & numerical data
  • Psychometrics / methods*
  • Psychometrics / standards
  • Registries / statistics & numerical data
  • Surveys and Questionnaires* / standards
  • Young Adult

Substances

  • Blood Glucose
  • Insulin