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    Psychometric Testing of the Korean Version of the Self-Care of Coronary Heart Disease Inventory Version 3

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    https://www.riss.kr/link?id=A109268880

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Purpose: This methodological study evaluated the psychometric properties of the Self-Care of Coronary Heart Disease Inventory version 3 (SC-CHDI v3) in a Korean context.
    Methods: The SC-CHDI v3 was translated into Korean following a rigorous translation process. Participants were 452 patientswhohad experienced coronary heart disease (CHD), all recruited froma tertiary hospital in Korea. Exploratory and confirmatory factor analyses were performed to test construct validity. Concurrent validity was examined by correlating scores from the Korean version of the SC-CHDI v3 with those from the Cardiac Self-Efficacy Scale. Internal consistencywas analyzed using Cronbach's alpha andMcDonald's omega.
    Results: The Korean version of the SC-CHDI v3 consists of 21 items, excluding two from the original instrument. The self-care maintenance subscale identified a two-factor structure: “treatment adherence” and “health-promoting behaviors.” The goodness-of-fit indices were satisfied: c2 ¼ 18.19, p ¼ .110, comparative fit index (CFI) ¼ .97, Tucker-Lewis Index (TLI) ¼ .95, and standardized root mean square residual (SRMR) ¼ .04. The self-care monitoring subscale consisted of a one-dimensional structure (“monitoring behaviors”) and the goodness-of-fit indices were satisfied: c2 ¼ 19.19, p ¼ .059, CFI ¼ .99, TLI ¼ .99, and SRMR ¼ .04. The self-care management subscales had a two-factor structure of “consulting behaviors” and “problem-solving behaviors.” The goodness-of-fit indices were satisfied: c2 ¼ 16.44, p ¼ .037, CFI ¼ .99, TLI ¼ .98, and SRMR ¼ .03. Scores from the Cardiac Self-Efficacy Scale showed a positive correlation with the Korean version of SC-CHDI v3 subscales. Reliability estimates were .80 for all subscales except for the self-care maintenance subscale.
    Conclusions: The Korean version of the SC-CHDI v3 consists of 21 items in 3 subscales and is a valid and reliable instrument. Therefore, healthcare providers can effectively utilize it to assess the self-care levels of patients with CHD.
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    Purpose: This methodological study evaluated the psychometric properties of the Self-Care of Coronary Heart Disease Inventory version 3 (SC-CHDI v3) in a Korean context. Methods: The SC-CHDI v3 was translated into Korean following a rigorous translati...

    Purpose: This methodological study evaluated the psychometric properties of the Self-Care of Coronary Heart Disease Inventory version 3 (SC-CHDI v3) in a Korean context.
    Methods: The SC-CHDI v3 was translated into Korean following a rigorous translation process. Participants were 452 patientswhohad experienced coronary heart disease (CHD), all recruited froma tertiary hospital in Korea. Exploratory and confirmatory factor analyses were performed to test construct validity. Concurrent validity was examined by correlating scores from the Korean version of the SC-CHDI v3 with those from the Cardiac Self-Efficacy Scale. Internal consistencywas analyzed using Cronbach's alpha andMcDonald's omega.
    Results: The Korean version of the SC-CHDI v3 consists of 21 items, excluding two from the original instrument. The self-care maintenance subscale identified a two-factor structure: “treatment adherence” and “health-promoting behaviors.” The goodness-of-fit indices were satisfied: c2 ¼ 18.19, p ¼ .110, comparative fit index (CFI) ¼ .97, Tucker-Lewis Index (TLI) ¼ .95, and standardized root mean square residual (SRMR) ¼ .04. The self-care monitoring subscale consisted of a one-dimensional structure (“monitoring behaviors”) and the goodness-of-fit indices were satisfied: c2 ¼ 19.19, p ¼ .059, CFI ¼ .99, TLI ¼ .99, and SRMR ¼ .04. The self-care management subscales had a two-factor structure of “consulting behaviors” and “problem-solving behaviors.” The goodness-of-fit indices were satisfied: c2 ¼ 16.44, p ¼ .037, CFI ¼ .99, TLI ¼ .98, and SRMR ¼ .03. Scores from the Cardiac Self-Efficacy Scale showed a positive correlation with the Korean version of SC-CHDI v3 subscales. Reliability estimates were .80 for all subscales except for the self-care maintenance subscale.
    Conclusions: The Korean version of the SC-CHDI v3 consists of 21 items in 3 subscales and is a valid and reliable instrument. Therefore, healthcare providers can effectively utilize it to assess the self-care levels of patients with CHD.

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    참고문헌 (Reference)

    1 National Heart, Lung, and Blood Institute, "What is coronary heart disease?"

    2 Yu J, "The concept and understanding of structural equation modeling" Hannare Publishing Co 160-370, 2012

    3 Kim HJ, "The association between eating-out rate and BMI in Korea" 16 : 3186-, 2019

    4 Deng L, "Testing the difference between reliability coefficients alpha and omega" 77 : 185-203, 2017

    5 McCartney DE, "Self-monitoring and self-management : new interventions to improve blood pressure control" 25 : 502-507, 2016

    6 Sullivan MD, "Self-efficacy and self-reported functional status in coronary heart disease : a six-month prospective study" 60 : 473-478, 1998

    7 Riegel B, "Self-care of coronary heart disease inventory e patient version 3 (English)"

    8 Furr RM, "Psychometrics : an introduction" Sage Publications, Inc 2008

    9 Vaughan Dickson V, "Psychometric testing of the self-care of coronary heart disease inventory(SC-CHDI)" 40 : 15-22, 2017

    10 Dickson VV, "Psychometric testing of the self-care of coronary heart disease inventory version 3. 0" 2022

    1 National Heart, Lung, and Blood Institute, "What is coronary heart disease?"

    2 Yu J, "The concept and understanding of structural equation modeling" Hannare Publishing Co 160-370, 2012

    3 Kim HJ, "The association between eating-out rate and BMI in Korea" 16 : 3186-, 2019

    4 Deng L, "Testing the difference between reliability coefficients alpha and omega" 77 : 185-203, 2017

    5 McCartney DE, "Self-monitoring and self-management : new interventions to improve blood pressure control" 25 : 502-507, 2016

    6 Sullivan MD, "Self-efficacy and self-reported functional status in coronary heart disease : a six-month prospective study" 60 : 473-478, 1998

    7 Riegel B, "Self-care of coronary heart disease inventory e patient version 3 (English)"

    8 Furr RM, "Psychometrics : an introduction" Sage Publications, Inc 2008

    9 Vaughan Dickson V, "Psychometric testing of the self-care of coronary heart disease inventory(SC-CHDI)" 40 : 15-22, 2017

    10 Dickson VV, "Psychometric testing of the self-care of coronary heart disease inventory version 3. 0" 2022

    11 Chen Z, "Psychometric testing of the Chinese version of self-care of coronary heart disease inventory" 27 : e12885-, 2021

    12 Koson N, "Psychometric evaluation of the Thai self-care of coronary heart disease inventory version 3" 22 : 311-319, 2023

    13 World Health Organization, "Process of translation and adaptation of instruments" World Health Organization

    14 Buck HG, "Predictors of hospitalization and quality of life in heart failure : a model of comorbidity, selfefficacy, and self-care" 52 : 1714-1722, 2015

    15 Cappelleri JC, "Patient-reported outcomes: measurement, implementation, and interpretation" Chapman & Hall/CRC Press 2013

    16 Bosworth HB, "Patient self-management support : novel strategies in hypertension and heart disease" 28 : 655-663, 2010

    17 Hair JF, "Multivariate data analysis : a global perspective" Pearson Education 2010

    18 Dickson VV, "Multiple comorbid conditions challenge heart failure self-care by decreasing self-efficacy" 62 : 2-9, 2013

    19 Zhu J, "Mobile breast cancer e-support program for Chinese women with breast cancer undergoing chemotherapy(part 2) : multicenter randomized controlled trial" 6 (6): e104-, 2018

    20 de Vet HCW, "Measurement in medicine: a practical guide" Cambridge University Press 2011

    21 Riegel B, "Integrating symptoms into the middle-range theory of self-care of chronic illness" 42 : 206-215, 2019

    22 Ministry of Health and Welfare, "Health and welfare statistical yearbook 2023"

    23 Hoyle RH, "Handbook of structural equation modeling" The Guilford Press 462-480, 2012

    24 Schermelleh-Engel K, "Evaluating the fit of structural equation models : tests of significance and descriptive goodness-of-fit measures" 8 : 23-74, 2003

    25 Djarv T, "Early or first aid administration versus late or in-hospital aspirin administration for nontraumatic adult chest pain : a systematic review" 12 : e6862-, 2020

    26 Hu L-t, "Cutoff criteria for fit indexes in covariance structure analysis : conventional criteria versus new alternatives" 6 : 1-55, 1999

    27 강윤희 ; 양인숙 ; 김나래, "Correlates of health behaviors in patients with coronary artery disease" 4 : 45-55, 2010

    28 World Health Organization, "Cardiovascular diseases (CVDs) fact sheets"

    29 Buck HG, "An integrative review and theoretical examination of chronic illness mHealth studies using the middle-range self-care theory of chronic illness" 44 : 47-59, 2021

    30 Riegel B, "A middle-range theory of self-care of chronic illness" 35 : 194-204, 2012

    31 Miles J, "A handbook of research methods for clinical and health psychology" Oxford University Press 261-278, 2005

    32 강현철, "A guide on using factor analysis in the assessment of construct validity" 43 : 587-594, 2013

    33 Virani SS, "2023AHA/ACC/ACCP/ASPC/NLA/PCNA guideline for the management of patients with chronic coronary disease : a report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice guidelines" 148 : e9-e119, 2023

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