Psychometric Testing of the Experience of Integrating Chronic Illness into Family Life Questionnaire

J Fam Nurs. 2024 May;30(2):174-184. doi: 10.1177/10748407241236010. Epub 2024 Mar 25.

Abstract

Family members' experience of integrating chronic illnesses or chronic conditions into family life is valuable information for health care professionals, such as nurses, to understand, improve, and adjust the care provided to families of chronically ill patients. Furthermore, the assessment of the experience of integrating chronic illness into family life can support family nursing interventions and reduce suffering. This study aimed to adapt and psychometrically test a new Likert-type questionnaire on the experience of integrating pediatric chronic illness into family life (EICI-FLQ) in two European samples. A sample of 164 primary caregivers of children/adolescents with chronic illnesses/conditions in Iceland and another sample of 237 primary caregivers with children/adolescents with chronic illnesses/conditions in Portugal completed the online questionnaire. Exploratory factor analysis of the Icelandic sample yielded support for a one-factor solution with acceptable internal reliability (Cronbach's α = .866). Confirmatory factor analysis of the one-factor structure in the Portuguese sample indicated good model fit and similar internal reliability (Cronbach's α = .838). This instrument has good psychometric characteristics and is a promising tool for measuring the experience of integrating pediatric chronic illness into family life in clinical and research settings.

Keywords: adolescent; children; family nursing; integrating chronic illness into family life; psychometrics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Caregivers* / psychology
  • Child
  • Child, Preschool
  • Chronic Disease / psychology
  • Factor Analysis, Statistical
  • Family / psychology
  • Family Nursing / standards
  • Female
  • Humans
  • Iceland
  • Male
  • Middle Aged
  • Portugal
  • Psychometrics*
  • Reproducibility of Results
  • Surveys and Questionnaires / standards