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Development and validation of a short version of the Assessment of Chronic Illness Care (ACIC) in Dutch Disease Management Programs

BACKGROUND: In the Netherlands the extent to which chronically ill patients receive care congruent with the Chronic Care Model is unknown. The main objectives of this study were to (1) validate the Assessment of Chronic Illness Care (ACIC) in the Netherlands in various Disease Management Programmes...

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Autores principales: Cramm, Jane M, Strating, Mathilde MH, Tsiachristas, Apostolos, Nieboer, Anna P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141373/
https://www.ncbi.nlm.nih.gov/pubmed/21726439
http://dx.doi.org/10.1186/1477-7525-9-49
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author Cramm, Jane M
Strating, Mathilde MH
Tsiachristas, Apostolos
Nieboer, Anna P
author_facet Cramm, Jane M
Strating, Mathilde MH
Tsiachristas, Apostolos
Nieboer, Anna P
author_sort Cramm, Jane M
collection PubMed
description BACKGROUND: In the Netherlands the extent to which chronically ill patients receive care congruent with the Chronic Care Model is unknown. The main objectives of this study were to (1) validate the Assessment of Chronic Illness Care (ACIC) in the Netherlands in various Disease Management Programmes (DMPs) and (2) shorten the 34-item ACIC while maintaining adequate validity, reliability, and sensitivity to change. METHODS: The Dutch version of the ACIC was tested in 22 DMPs with 218 professionals. We tested the instrument by means of structural equation modelling, and examined its validity, reliability and sensitivity to change. RESULTS: After eliminating 13 items, the confirmatory factor analyses revealed good indices of fit with the resulting 21-item ACIC (ACIC-S). Internal consistency as represented by Cronbach's alpha ranged from 'acceptable' for the 'clinical information systems' subscale to 'excellent' for the 'organization of the healthcare delivery system' subscale. Correlations between the ACIC and ACIC-S subscales were also good, ranging from .87 to 1.00, indicating acceptable coverage of the core areas of the CCM. The seven subscales were significantly and positively correlated, indicating that the subscales were conceptually related but also distinct. Paired t-tests results show that the ACIC scores of the original instrument all improved significantly over time in regions that were in the process of implementing DMPs (all components at p < 0.0001). CONCLUSION: We conclude that the psychometric properties of the ACIC and the ACIC-S are good and the ACIC-S is a promising alternate instrument to assess chronic illness care.
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spelling pubmed-31413732011-07-23 Development and validation of a short version of the Assessment of Chronic Illness Care (ACIC) in Dutch Disease Management Programs Cramm, Jane M Strating, Mathilde MH Tsiachristas, Apostolos Nieboer, Anna P Health Qual Life Outcomes Research BACKGROUND: In the Netherlands the extent to which chronically ill patients receive care congruent with the Chronic Care Model is unknown. The main objectives of this study were to (1) validate the Assessment of Chronic Illness Care (ACIC) in the Netherlands in various Disease Management Programmes (DMPs) and (2) shorten the 34-item ACIC while maintaining adequate validity, reliability, and sensitivity to change. METHODS: The Dutch version of the ACIC was tested in 22 DMPs with 218 professionals. We tested the instrument by means of structural equation modelling, and examined its validity, reliability and sensitivity to change. RESULTS: After eliminating 13 items, the confirmatory factor analyses revealed good indices of fit with the resulting 21-item ACIC (ACIC-S). Internal consistency as represented by Cronbach's alpha ranged from 'acceptable' for the 'clinical information systems' subscale to 'excellent' for the 'organization of the healthcare delivery system' subscale. Correlations between the ACIC and ACIC-S subscales were also good, ranging from .87 to 1.00, indicating acceptable coverage of the core areas of the CCM. The seven subscales were significantly and positively correlated, indicating that the subscales were conceptually related but also distinct. Paired t-tests results show that the ACIC scores of the original instrument all improved significantly over time in regions that were in the process of implementing DMPs (all components at p < 0.0001). CONCLUSION: We conclude that the psychometric properties of the ACIC and the ACIC-S are good and the ACIC-S is a promising alternate instrument to assess chronic illness care. BioMed Central 2011-07-04 /pmc/articles/PMC3141373/ /pubmed/21726439 http://dx.doi.org/10.1186/1477-7525-9-49 Text en Copyright ©2011 Cramm et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Cramm, Jane M
Strating, Mathilde MH
Tsiachristas, Apostolos
Nieboer, Anna P
Development and validation of a short version of the Assessment of Chronic Illness Care (ACIC) in Dutch Disease Management Programs
title Development and validation of a short version of the Assessment of Chronic Illness Care (ACIC) in Dutch Disease Management Programs
title_full Development and validation of a short version of the Assessment of Chronic Illness Care (ACIC) in Dutch Disease Management Programs
title_fullStr Development and validation of a short version of the Assessment of Chronic Illness Care (ACIC) in Dutch Disease Management Programs
title_full_unstemmed Development and validation of a short version of the Assessment of Chronic Illness Care (ACIC) in Dutch Disease Management Programs
title_short Development and validation of a short version of the Assessment of Chronic Illness Care (ACIC) in Dutch Disease Management Programs
title_sort development and validation of a short version of the assessment of chronic illness care (acic) in dutch disease management programs
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141373/
https://www.ncbi.nlm.nih.gov/pubmed/21726439
http://dx.doi.org/10.1186/1477-7525-9-49
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