Psychometric characteristics of the caregiver contribution to self-care of chronic illness inventory.
caregiver contribution
caregivers
chronic disease
instrument development
multimorbidity
nursing
psychometrics
reliability
self-care
validity
Journal
Journal of advanced nursing
ISSN: 1365-2648
Titre abrégé: J Adv Nurs
Pays: England
ID NLM: 7609811
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
04
01
2020
revised:
23
04
2020
accepted:
02
06
2020
pubmed:
17
6
2020
medline:
22
6
2021
entrez:
16
6
2020
Statut:
ppublish
Résumé
The purpose of the this study was to test the factorial structure, internal consistency reliability and concurrent validity of the Caregiver Contribution to Self-Care Chronic Illness Inventory. Existing measures of caregiver contribution to self-care are disease-specific or behaviour-specific; no generic measures exist. A cross-sectional study. Between April 2017 - December 2018, we enrolled a convenience sample of 358 patients with chronic illnesses and their caregivers. Patients completed the Self-Care of Chronic Illness Inventory while caregivers completed the Caregiver Contribution to Self-Care of Chronic Illness Inventory, a modification of the Self-Care of Chronic Illness Inventory, which includes three scales as follows: the Caregiver Contribution to Self-Care Maintenance, the Caregiver Contribution to Self-Care Monitoring and the Caregiver Contribution to Self-Care Management. Of each scale, we tested the factorial structure with confirmatory factor analysis and reliability with the factor score determinacy coefficient, the global reliability index for multidimensional scale and Cronbach's alpha. Also, we used Pearson's correlations for concurrent validity purposes. Confirmatory factor analysis supported the two-factor structure of the Caregiver Contribution to Self-Care Maintenance and Management scales and the one-factor structure of the Caregiver Contribution to Self-Care Monitoring scale. A simultaneous confirmatory factor analysis on the combined set of items supported the more general model (Comparative Fit Index = 0.933). Reliability estimates ranged between 0.701 and 0.961 across the three scales. Concurrent validity of Caregiver Contribution to Self-Care of Chronic Illness Inventory with the Self-Care of Chronic Illness Inventory was not sufficiently supported since weak correlations were found. The Caregiver Contribution to Self-Care of Chronic Illness Inventory is valid and reliable and can be used in clinical practice and research. The Caregiver Contribution to Self-Care of Chronic Illness Inventory is an useful instrument to evaluate the extent to which caregivers contribute to patient self-care in chronic illnesses. 目的: 本研究旨在检验慢性疾病护理人员自我照顾贡献量表的因子结构、内部一致信度及并发效度。 背景: 现有护理人员对自我照顾的贡献衡量标准均是以疾病或行为为基础;无通用衡量标准。 设计: 横断面研究。 方法: 2017年4月至2018年12月间,我们对358名慢性病患者及其护理人员进行随机抽样调查。患者已填写慢性疾病自我照顾量表,且护理人员已填写其对慢性病自我照顾贡献量表,此量表是在慢性疾病自我照顾量表的基础上修订,包括三个量表:护理人员对自我照顾的贡献,护理人员对自我照顾监控的贡献以及护理人员对自我照顾管理的贡献。各量表中,我们通过验证性因子分析对因子结构进行检验,并用因子得分确定系数、多维量表整体信度指标和克隆巴赫系数,以进行信度检验。同时,我们利用皮尔逊相关系数进行并发效度分析。 结果: 验证性因子分析可在护理人员自我照顾共享维持与管理量表中所列双因素结构和护理人员自我照顾监测量表中所列单因素结构中适用。一般模型可在组合项目的同时验证性因素分析中适用(比较拟合指数=0.933)。经预计,上述三个量表的信度介于0.701到0.961之间。慢性疾病护理人员自我照顾量表与慢性疾病患者自我照顾量表的并发效度呈弱相关,因此,慢性疾病患者自我照顾量表未充分使用。 结论: 慢性疾病护理人员自我照顾贡献量表有效、可靠,可在临床实践和研究中使用。 影响: 慢性疾病护理人员自我照顾贡献量表是评估护理人员对慢性疾病患者自我照顾的贡献程度的有效工具。.
Sections du résumé
AIM
OBJECTIVE
The purpose of the this study was to test the factorial structure, internal consistency reliability and concurrent validity of the Caregiver Contribution to Self-Care Chronic Illness Inventory.
BACKGROUND
BACKGROUND
Existing measures of caregiver contribution to self-care are disease-specific or behaviour-specific; no generic measures exist.
DESIGN
METHODS
A cross-sectional study.
METHOD
METHODS
Between April 2017 - December 2018, we enrolled a convenience sample of 358 patients with chronic illnesses and their caregivers. Patients completed the Self-Care of Chronic Illness Inventory while caregivers completed the Caregiver Contribution to Self-Care of Chronic Illness Inventory, a modification of the Self-Care of Chronic Illness Inventory, which includes three scales as follows: the Caregiver Contribution to Self-Care Maintenance, the Caregiver Contribution to Self-Care Monitoring and the Caregiver Contribution to Self-Care Management. Of each scale, we tested the factorial structure with confirmatory factor analysis and reliability with the factor score determinacy coefficient, the global reliability index for multidimensional scale and Cronbach's alpha. Also, we used Pearson's correlations for concurrent validity purposes.
RESULTS
RESULTS
Confirmatory factor analysis supported the two-factor structure of the Caregiver Contribution to Self-Care Maintenance and Management scales and the one-factor structure of the Caregiver Contribution to Self-Care Monitoring scale. A simultaneous confirmatory factor analysis on the combined set of items supported the more general model (Comparative Fit Index = 0.933). Reliability estimates ranged between 0.701 and 0.961 across the three scales. Concurrent validity of Caregiver Contribution to Self-Care of Chronic Illness Inventory with the Self-Care of Chronic Illness Inventory was not sufficiently supported since weak correlations were found.
CONCLUSION
CONCLUSIONS
The Caregiver Contribution to Self-Care of Chronic Illness Inventory is valid and reliable and can be used in clinical practice and research.
IMPACT
CONCLUSIONS
The Caregiver Contribution to Self-Care of Chronic Illness Inventory is an useful instrument to evaluate the extent to which caregivers contribute to patient self-care in chronic illnesses.
目的: 本研究旨在检验慢性疾病护理人员自我照顾贡献量表的因子结构、内部一致信度及并发效度。 背景: 现有护理人员对自我照顾的贡献衡量标准均是以疾病或行为为基础;无通用衡量标准。 设计: 横断面研究。 方法: 2017年4月至2018年12月间,我们对358名慢性病患者及其护理人员进行随机抽样调查。患者已填写慢性疾病自我照顾量表,且护理人员已填写其对慢性病自我照顾贡献量表,此量表是在慢性疾病自我照顾量表的基础上修订,包括三个量表:护理人员对自我照顾的贡献,护理人员对自我照顾监控的贡献以及护理人员对自我照顾管理的贡献。各量表中,我们通过验证性因子分析对因子结构进行检验,并用因子得分确定系数、多维量表整体信度指标和克隆巴赫系数,以进行信度检验。同时,我们利用皮尔逊相关系数进行并发效度分析。 结果: 验证性因子分析可在护理人员自我照顾共享维持与管理量表中所列双因素结构和护理人员自我照顾监测量表中所列单因素结构中适用。一般模型可在组合项目的同时验证性因素分析中适用(比较拟合指数=0.933)。经预计,上述三个量表的信度介于0.701到0.961之间。慢性疾病护理人员自我照顾量表与慢性疾病患者自我照顾量表的并发效度呈弱相关,因此,慢性疾病患者自我照顾量表未充分使用。 结论: 慢性疾病护理人员自我照顾贡献量表有效、可靠,可在临床实践和研究中使用。 影响: 慢性疾病护理人员自我照顾贡献量表是评估护理人员对慢性疾病患者自我照顾的贡献程度的有效工具。.
Autres résumés
Type: Publisher
(chi)
目的: 本研究旨在检验慢性疾病护理人员自我照顾贡献量表的因子结构、内部一致信度及并发效度。 背景: 现有护理人员对自我照顾的贡献衡量标准均是以疾病或行为为基础;无通用衡量标准。 设计: 横断面研究。 方法: 2017年4月至2018年12月间,我们对358名慢性病患者及其护理人员进行随机抽样调查。患者已填写慢性疾病自我照顾量表,且护理人员已填写其对慢性病自我照顾贡献量表,此量表是在慢性疾病自我照顾量表的基础上修订,包括三个量表:护理人员对自我照顾的贡献,护理人员对自我照顾监控的贡献以及护理人员对自我照顾管理的贡献。各量表中,我们通过验证性因子分析对因子结构进行检验,并用因子得分确定系数、多维量表整体信度指标和克隆巴赫系数,以进行信度检验。同时,我们利用皮尔逊相关系数进行并发效度分析。 结果: 验证性因子分析可在护理人员自我照顾共享维持与管理量表中所列双因素结构和护理人员自我照顾监测量表中所列单因素结构中适用。一般模型可在组合项目的同时验证性因素分析中适用(比较拟合指数=0.933)。经预计,上述三个量表的信度介于0.701到0.961之间。慢性疾病护理人员自我照顾量表与慢性疾病患者自我照顾量表的并发效度呈弱相关,因此,慢性疾病患者自我照顾量表未充分使用。 结论: 慢性疾病护理人员自我照顾贡献量表有效、可靠,可在临床实践和研究中使用。 影响: 慢性疾病护理人员自我照顾贡献量表是评估护理人员对慢性疾病患者自我照顾的贡献程度的有效工具。.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2434-2445Subventions
Organisme : Centre of Excellence for Nursing Scholarship and Foundation "Together to give life to years", Rome, Italy
Informations de copyright
© 2020 John Wiley & Sons Ltd.
Références
Bagozzi, R. P. (1983). Issues in the application of covariance structure analysis: A further comment. Journal of Consumer Research, 9, 449-450. https://doi.org/10.1086/208939
Barbaranelli, C., Lee, C. S., Vellone, E., & Riegel, B. (2015). The problem with Cronbach's alpha: Comment on Sijtsma and van der ark. Nursing Research, 64(2), 140-145. https://doi.org/10.1097/NNR.0000000000000079
Bidwell, J. T., Vellone, E., Lyons, K. S., D'Agostino, F., Riegel, B., Juárez-Vela, R., … Lee, C. S. (2015). Determinants of heart failure self-care maintenance and management in patients and caregivers: A dyadic analysis. Research in Nursing & Health, 38(5), 392-402. https://doi.org/10.1002/nur.21675
Bidwell, J. T., Vellone, E., Lyons, K. S., D'Agostino, F., Riegel, B., Paturzo, M., … Lee, C. S. (2017). Caregiver determinants of patient clinical event risk in heart failure. European journal of Cardiovascular Nursing: Journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology, 16(8), 707-714. https://doi.org/10.1177/1474515117711305
Bouldin, E. D., Trivedi, R. B., Reiber, G. E., Rosland, A. M., Silverman, J. B., Krieger, J., & Nelson, K. M. (2017). Associations between having an informal caregiver, social support and self-care among low-income adults with poorly controlled diabetes. Chronic Illness, 13(4), 239-250. https://doi.org/10.1177/1742395317690032
Browne, M. W., & Cudek, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
Bryant, J., Mansfield, E., Boyes, A. W., Waller, A., Sanson-Fisher, R., & Regan, T. (2016). Involvement of informal caregivers in supporting patients with COPD: A review of intervention studies. International Journal of Chronic Obstructive Pulmonary Disease, 11, 1587-1596. https://doi.org/10.2147/COPD.S107571
Buck, H. G., Dickson, V. V., Fida, R., Riegel, B., D'Agostino, F., Alvaro, R., & Vellone, E. (2015). Predictors of hospitalization and quality of life in heart failure: A model of comorbidity, self-efficacy and self-care. International Journal of Nursing Studies, 52(11), 1714-1722. https://doi.org/10.1016/j.ijnurstu.2015.06.018
Clari, M., Matarese, M., Ivziku, D., & De Marinis, M. G. (2017). Self-care of people with chronic obstructive pulmonary disease: A meta-synthesis. Patient, 10(4), 407-427. https://doi.org/10.1007/s40271-017-0218-z
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale: Erlbaum.
Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis. Hillsdale, NJ: Erlbaum.
Dattalo, M., DuGoff, E., Ronk, K., Kennelty, K., Gilmore-Bykovskyi, A., & Kind, A. J. (2017). Apples and oranges: Four definitions of multiple chronic conditions and their relationship to 30-day hospital readmission. Journal of the American Geriatrics Society, 65(4), 712-720. https://doi.org/10.1111/jgs.14539
De Maria, M., Matarese, M., Stromberg, A., Ausili, D., Vellone, D., Jaarsma, T., … Barbaranelli, C. (2019). Cross-cultural assessment of the self-care of chronic illness inventory: A psychometric evaluation. International Journal of Nursing Studies, https://doi.org/10.1016/j.ijnurstu.2019.103422. [Online ahead of print]
De Maria, M., Vellone, E., Ausili, D., Alvaro, R., Di Mauro, S., Piredda, M., … Matarese, M. (2018). Self-care Of patient and caregiver DyAds in multiple chronic conditions: A LongITudinal studY (SODALITY) protocol. Journal of Advanced Nursing, 75(2), 461-471. https://doi.org/10.1111/jan.13834
Durante, A., Greco, A., Annoni, A. M., Steca, P., Alvaro, R., & Vellone, E. (2019). Determinants of caregiver burden in heart failure: Does caregiver contribution to heart failure patient self-care increase caregiver burden? European Journal of Cardiovascular Nursing, 18(8), 691-699. https://doi.org/10.1177/1474515119863173
Fornell, C. (1983). Issues in the application of covariance structure analysis: A comment. Journal of Consumer Research, 9, 443-448. https://doi.org/10.1086/208938
Gribbons, B. C., & Hocevar, D. (1998). Levels of aggregation in higher level confirmatory factor analysis: Application for academic self-concept. Structural Equation Modeling: A Multidisciplinary Journal, 5(4), 377-390. https://doi.org/10.1080/10705519809540113
Harkness, K., Buck, H. G., Arthur, H., Carroll, S., Cosman, T., McGillion, M., … Strachan, P. H. (2016). Caregiver contribution to heart failure self-care (CACHS). Nursing Open, 3(1), 51-60. https://doi.org/10.1002/nop2.35
Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424-453. https://doi.org/10.1037/1082-989X.3.4.424
Jaarsma, T., Cameron, J., Riegel, B., & Stromberg, A. (2017). Factors related to self-care in heart failure patients according to the middle-range theory of self-care of chronic illness: A literature update. Current Heart Failure Reports, 14(2), 71-77. https://doi.org/10.1007/s11897-017-0324
Leadley, R. M., Armstrong, N., Lee, Y. C., Allen, A., & Kleijnen, J. (2012). Chronic diseases in the European Union: The prevalence and health cost implications of chronic pain. Journal of Pain and Palliative Care Pharmacotherapy, 26(4), 310-325. https://doi.org/10.3109/15360288.2012.736933
Lee, C. S., Vellone, E., Lyons, K. S., Cocchieri, A., Bidwell, J. T., D’Agostino, F., … Riegel, B. (2015). Patterns and predictors of patient and caregiver engagement in heart failure care: A multi-level dyadic study. International Journal of Nursing Studies, 52(2), 588-597. https://doi.org/10.1016/j.ijnurstu.2014.11.005
Lyons, K. S., Vellone, E., Lee, C. S., Cocchieri, A., Bidwell, J. T., D’Agostino, F., … Riegel, B. (2015). A dyadic approach to managing heart failure with confidence. Journal of Cardiovascular Nursing, 30(4S), S64-S71. https://doi.org/10.1097/JCN.0000000000000234
Matarese, M., Clari, M., De Marinis, M. G., Barbaranelli, C., Ivziku, D., Piredda, M., & Riegel, B. (2019). The self-care in chronic obstructive pulmonary disease inventory: Development and psychometric evaluation. Evaluation & the Health Professions, 43(1), 50-62. 0.1177/0163278719856660
Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568. https://doi.org/10.1037/0021-9010.93.3.568
Muthén, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38(2), 171-189. https://doi.org/10.1111/j.2044-8317.1985.tb00832.x
Muthén, L. K., & Muthén, B. O. (1998-2017). Mplus user’s guide (8th ed.). Los Angeles, CA: Author.
Packer, T. L., Boldy, D., Ghahari, S., Melling, L., Parsons, R., & Osborne, R. H. (2012). Self-management programs conducted in a practice setting: Who participates, who benefits and what can be learned? Patient Education and Counseling, 87(1), 93-100. https://doi.org/10.1016/j.pec.2011.09.007
Pucciarelli, G., Ausili, D., Galbussera, A. A., Rebora, P., Savini, S., Simeone, S., … Vellone, E. (2018). Quality of life, anxiety, depression and burden among stroke caregivers: A longitudinal, observational multicentre study. Journal of Advanced Nursing, 74, 1875-1887. https://doi.org/10.1111/jan.13695
Raykov, T. (2012). Scale construction and development using structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 472-492). New York: The Guilford Press.
Riegel, B., Barbaranelli, C., Carlson, B., Sethares, K. A., Daus, M., Moser, D. K., … Vellone, E. (2018). Psychometric testing of the revised self-care of heart failure index. The Journal of Cardiovascular Nursing, 34(2), 183-192. https://doi.org/10.1097/JCN.0000000000000543
Riegel, B., Barbaranelli, C., Sethares, K. A., Daus, M., Moser, D. K., Miller, J. L., Jaarsma, T. (2018). Development and initial testing of the self-care of chronic illness inventory. Journal of Advanced Nursing, 74(10), 2465-2476. https://doi.org/10.1111/jan.13775
Riegel, B., Dickson, V. V., & Faulkner, K. M. (2016). The situation-specific theory of heart failure self-care. The Journal of Cardiovascular Nursing, 31(3), 226-235. https://doi.org/10.1097/JCN.000000000000024
Riegel, B., Jaarsma, T., Strömberg, A., Clemmer, E., & Chair, S. (2012). A middle-range theory of self-care of chronic illness. Advances in Nursing Sciences, 3(35), 194-204. https://doi.org/10.1097/ANS.0b013e318261b1ba
Roser, M., & Ritchie, H. (2018). Causes of Death. Our World in Data.
Sun, W., Aodeng, S., Tanimoto, Y., Watanabe, M., Han, J., Wang, B., … Kono, K. (2015). Quality of life (QOL) of the community-dwelling elderly and associated factors: A population-based study in urban areas of China. Archives of Gerontology and Geriatrics, 60(2), 311-316. https://doi.org/10.1016/j.archger.2014.12.002
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Boston, MA: Pearson Education.
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices and recommendations for organizational research. Organizational Research Methods, 3(1), 4-70. https://doi.org/10.1177/109442810031002
Vellone, E., Barbaranelli, C., Pucciarelli, G., Zeffiro, V., Alvaro, R., & Riegel, B. (2020). Validity and reliability of the caregiver contribution to self-care of heart failure index version 2. Journal of Cardiovascular Nursing, 35(3), 280-290.
Vellone, E., D'Agostino, F., Buck, H. G., Fida, R., Spatola, C. F., Petruzzo, A., … Riegel, B. (2015). The key role of caregiver confidence in the caregiver’s contribution to self-care in adults with heart failure. European Journal of Cardiovascular Nursing, 14, 372-381. https://doi.org/10.1177/1474515114547649
Vellone, E., Riegel, B., & Alvaro, R. (2019). A situation-specific theory of caregiver contributions to heart failure self-care. Journal of Cardiovascular Nursing, 34(2), 166-173. https://doi.org/10.1097/JCN.0000000000000549
Vellone, E., Riegel, B., Cocchieri, A., Barbaranelli, C., D'Agostino, F., Antonetti, G., … Alvaro, R. (2013). Psychometric testing of the self-care of heart failure index version 6.2. Research in Nursing and Health, 36(5), 500-511. https://doi.org/10.1002/nur.21554
Villa, G., Vellone, E., Sciara, S., Stievano, A., Proietti, M. G., Manara, D. F., … Pantaleo, G. (2019). Two new tools for self-care in ostomy patients and their informal caregivers: Psychosocial, clinical and operative aspects. International Journal of Urological Nursing, 13(1), 23-30. https://doi.org/10.1111/ijun.12177
Wang, S. P., Lin, L. C., Lee, C. M., & Wu, S. C. (2011). Effectiveness of a self-care program in improving symptom distress and quality of life in congestive heart failure patients: A preliminary study. Journal of Nursing Research, 19, 257-266. https://doi.org/10.1097/JNR.0b013e318237f08d
Weinger, K., Beverly, E. A., & Smaldone, A. (2014). Diabetes self-care and the older adult. Western Journal of Nursing Research, 36(9), 1272-1298. https://doi.org/10.1177/0193945914521696
World Health Organization. (2002). The world health report 2002: Reducing risks, promoting healthy life. World Health Organization.
Yang, X., Hao, Y., George, S. M., & Wang, L. (2012). Factors associated with health-related quality of life among Chinese caregivers of the older adults living in the community: A cross-sectional study. Health and Quality of Life Outcomes, 10(1), 143. https://doi.org/10.1186/1477-7525-10-143