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Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care

OBJECTIVE: During autonomy-supportive consultations, professionals use a need-supportive interaction style to facilitate patients' self-regulated behaviour. To improve maternity care professionals' need-supportive interactions, it is important to provide insights into their interaction sty...

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Autores principales: Kors, Joyce, Duprez, Veerle, Martin, Linda, Verhoeven, Corine J., van Hecke, Ann, Peerdeman, Saskia M., Kusurkar, Rashmi A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534251/
https://www.ncbi.nlm.nih.gov/pubmed/37780896
http://dx.doi.org/10.1016/j.pecinn.2023.100219
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author Kors, Joyce
Duprez, Veerle
Martin, Linda
Verhoeven, Corine J.
van Hecke, Ann
Peerdeman, Saskia M.
Kusurkar, Rashmi A.
author_facet Kors, Joyce
Duprez, Veerle
Martin, Linda
Verhoeven, Corine J.
van Hecke, Ann
Peerdeman, Saskia M.
Kusurkar, Rashmi A.
author_sort Kors, Joyce
collection PubMed
description OBJECTIVE: During autonomy-supportive consultations, professionals use a need-supportive interaction style to facilitate patients' self-regulated behaviour. To improve maternity care professionals' need-supportive interactions, it is important to provide insights into their interaction style. No tool is currently available for measuring need-supportive interactions in maternity care. Therefore, the aim of this study was to adapt the COUNSEL-CCE to evaluate need-supportive interactions in maternity care and to validate their measurements. METHODS: A five-step adaptation and validation process was performed based on the guideline of Sousa and Rojjanasrirat: 1) adaptation of COUNSEL-CCE by two authors independently; 2) development of a consensus-based tool: CONSUL-MCC; 3) qualitative assessment of CONSUL-MCC; 4) pilot testing of CONSUL-MCC in the target population (N = 10) and 5) psychometric testing in the target population (N = 453). RESULTS: All indicators of the original tool remained relevant. Four items were rephrased, one indicator was added, and all examples were adapted to maternity care. The results of psychometric testing indicated good construct validity. However, the data characteristics made it impossible to prove the presumed factor structure and perform an accurate intraclass correlation. CONCLUSIONS AND INNOVATION: COUNSEL-CCE proved to be a new instrument to gain insights into professionals' interactions and be applied to maternity care.
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spelling pubmed-105342512023-09-29 Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care Kors, Joyce Duprez, Veerle Martin, Linda Verhoeven, Corine J. van Hecke, Ann Peerdeman, Saskia M. Kusurkar, Rashmi A. PEC Innov Full length article OBJECTIVE: During autonomy-supportive consultations, professionals use a need-supportive interaction style to facilitate patients' self-regulated behaviour. To improve maternity care professionals' need-supportive interactions, it is important to provide insights into their interaction style. No tool is currently available for measuring need-supportive interactions in maternity care. Therefore, the aim of this study was to adapt the COUNSEL-CCE to evaluate need-supportive interactions in maternity care and to validate their measurements. METHODS: A five-step adaptation and validation process was performed based on the guideline of Sousa and Rojjanasrirat: 1) adaptation of COUNSEL-CCE by two authors independently; 2) development of a consensus-based tool: CONSUL-MCC; 3) qualitative assessment of CONSUL-MCC; 4) pilot testing of CONSUL-MCC in the target population (N = 10) and 5) psychometric testing in the target population (N = 453). RESULTS: All indicators of the original tool remained relevant. Four items were rephrased, one indicator was added, and all examples were adapted to maternity care. The results of psychometric testing indicated good construct validity. However, the data characteristics made it impossible to prove the presumed factor structure and perform an accurate intraclass correlation. CONCLUSIONS AND INNOVATION: COUNSEL-CCE proved to be a new instrument to gain insights into professionals' interactions and be applied to maternity care. Elsevier 2023-09-21 /pmc/articles/PMC10534251/ /pubmed/37780896 http://dx.doi.org/10.1016/j.pecinn.2023.100219 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Full length article
Kors, Joyce
Duprez, Veerle
Martin, Linda
Verhoeven, Corine J.
van Hecke, Ann
Peerdeman, Saskia M.
Kusurkar, Rashmi A.
Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care
title Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care
title_full Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care
title_fullStr Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care
title_full_unstemmed Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care
title_short Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care
title_sort adaptation and validation of the encoding of observations using consul-mcc: a self-determination theory-based tool to observe consultations in maternity care
topic Full length article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534251/
https://www.ncbi.nlm.nih.gov/pubmed/37780896
http://dx.doi.org/10.1016/j.pecinn.2023.100219
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