BMC Cardiovascular Disorders (Aug 2023)

Development of a short form of the Cardiac Distress Inventory

  • Michael R. Le Grande,
  • Barbara M. Murphy,
  • Michelle C. Rogerson,
  • Chantal F. Ski,
  • John Amerena,
  • Julian A. Smith,
  • Valerie Hoover,
  • Marlies E. Alvarenga,
  • Rosemary O. Higgins,
  • David R. Thompson,
  • Alun C. Jackson

DOI
https://doi.org/10.1186/s12872-023-03439-w
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 12

Abstract

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Abstract Background Cardiac distress may be viewed as a persistent negative emotional state that spans multiple psychosocial domains and challenges a patient’s capacity to cope with living with their heart condition. The Cardiac Distress Inventory (CDI) is a disease-specific clinical assessment tool that captures the complexity of this distress. In busy settings such as primary care, cardiac rehabilitation, and counselling services, however, there is a need to administer briefer tools to aid in identification and screening. The aim of the present study was to develop a short, valid screening version of the CDI. Methods A total of 405 participants reporting an acute coronary event in the previous 12 months was recruited from three hospitals, through social media and by direct enrolment on the study website. Participants completed an online survey which included the full version of the CDI and general distress measures including the Kessler K6, Patient Health Questionnaire-4, and Emotion Thermometers. Relationship of the CDI with these instruments, Rasch analysis model fit and clinical expertise were all used to select items for the short form (CDI-SF). Construct validity and receiver operating characteristics in relation to the Kessler K6 were examined. Results The final 12 item CDI-SF exhibited excellent internal consistency indicative of unidimensionality and good convergent and discriminant validity in comparison to clinical status measures, all indicative of good construct validity. Using the K6 validated cutoff of ≥ 18 as the reference variable, the CDI-SF had a very high Area Under the Curve (AUC) (AUC = 0.913 (95% CI: 0.88 to 0.94). A CDI-SF score of ≥ 13 was found to indicate general cardiac distress which may warrant further investigation using the original CDI. Conclusion The psychometric findings detailed here indicate that the CDI-SF provides a brief psychometrically sound screening measure indicative of general cardiac distress, that can be used in both clinical and research settings.

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