Development of a short form of the Cardiac Distress Inventory

BMC Cardiovascular Disorders

Research

Michelle C. Rogerson¹  Rosemary O. Higgins²  David R. Thompson³  Chantal F. Ski⁴  Michael R. Le Grande⁵  Barbara M. Murphy⁶  Alun C. Jackson⁷  Marlies E. Alvarenga⁸  John Amerena⁹  Julian A. Smith^1,10  Valerie Hoover^1,11 

[1] Australian Centre for Heart Health, Melbourne, VIC, Australia;Australian Centre for Heart Health, Melbourne, VIC, Australia;Department of Physiotherapy, University of Melbourne, Parkville, VIC, Australia;Australian Centre for Heart Health, Melbourne, VIC, Australia;Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia;School of Nursing and Midwifery, Queen’s University Belfast, Belfast, UK;Australian Centre for Heart Health, Melbourne, VIC, Australia;Integrated Care Academy, University of Suffolk, Ipswich, UK;Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia;Australian Centre for Heart Health, Melbourne, VIC, Australia;Melbourne Centre for Behaviour Change, School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia;Australian Centre for Heart Health, Melbourne, VIC, Australia;Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia;Australian Centre for Heart Health, Melbourne, VIC, Australia;Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia;Centre on Behavioral Health, University of Hong Kong, Hong Kong, China;Australian Centre for Heart Health, Melbourne, VIC, Australia;Victorian Heart Institute, Clayton, VIC, Australia;Institute of Health and Wellbeing, Federation University, Berwick, VIC, Australia;Monash Health & Department of Medicine, Monash University, Clayton, VIC, Australia;Barwon Health, Geelong, VIC, Australia;Deakin School of Medicine, University Hospital Geelong, Geelong, VIC, Australia;Department of Cardiothoracic Surgery, Monash Health, Clayton, VIC, Australia;Department of Surgery, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia;Victorian Heart Institute, Clayton, VIC, Australia;Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA;

关键词: Psychological distress;    Cardiovascular disease;    Mental health;    Cardiac distress inventory;    Screening;   

DOI  :  10.1186/s12872-023-03439-w

 received in 2023-04-04, accepted in 2023-08-08,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundCardiac 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.MethodsA 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.ResultsThe 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.ConclusionThe 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.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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