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Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation

OBJECTIVES: We aimed to construct a theoretical model and an observer-based measurement of shared decision making (SDM) in web-based pharmaceutical care consultation. METHODS: We first constructed a theoretical model through analysis of SDM models and interviews with 24 key informants. Then, the ini...

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Autores principales: Chen, Haihong, Xiong, Yuqi, Zhang, Zinan, Zhou, Qian, Wang, Dan, Wang, Xuemei, Zhang, Xinping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984866/
https://www.ncbi.nlm.nih.gov/pubmed/35402000
http://dx.doi.org/10.1177/20552076221089794
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author Chen, Haihong
Xiong, Yuqi
Zhang, Zinan
Zhou, Qian
Wang, Dan
Wang, Xuemei
Zhang, Xinping
author_facet Chen, Haihong
Xiong, Yuqi
Zhang, Zinan
Zhou, Qian
Wang, Dan
Wang, Xuemei
Zhang, Xinping
author_sort Chen, Haihong
collection PubMed
description OBJECTIVES: We aimed to construct a theoretical model and an observer-based measurement of shared decision making (SDM) in web-based pharmaceutical care consultation. METHODS: We first constructed a theoretical model through analysis of SDM models and interviews with 24 key informants. Then, the initial measurement was formulated, and the content was evaluated by 16 key informants alone. A cross-sectional study was executed, where 300 provider-patient encounters were collected at the online platform ‘Good Doctor Website’, for reliability and validity assessment. Content validity was evaluated by appropriateness score, that is the median of 7–9 and without disagreement. Interrater reliability was evaluated by Spearman correlation coefficient using 30 out of 300 samples. Single indicator validity was tested by Pearson correlation analysis, and convergent validity was evaluated by the Multiple Indicators Multiple Causes (MIMIC) model using 300 samples. RESULTS: Theoretical model constructed included four elements: ‘comprehensive understanding of the patient's condition’, ‘exchanging ideas on medication options’, ‘achieving a medication plan’, and ‘providing decision support’. Measurement constructed included four dimensions and 19 items, and four dimensions were in accordance with four elements of the theoretical model. We found median scores of these dimensions and items were 7–9 and without disagreement, indicating good content validity. Spearman correlation coefficients of 19 items were greater than 0.750, suggesting good interrater reliability. Pearson coefficients between 19 items and their external variables were significant (p < 0.001), and MIMIC model results showed that the R(2) values of dimensions 1–4 were over 0.5, indicating good single indicator validity and convergent validity. CONCLUSIONS: Characteristics of web-based pharmaceutical care consultation, highlighting the importance of medication history, medication regimen, and detailed medication plan, were observed in the theoretical model. Measurement constructed had good reliability and validity and may be used by health policymakers to improve the quality of pharmaceutical care consultation online.
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spelling pubmed-89848662022-04-07 Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation Chen, Haihong Xiong, Yuqi Zhang, Zinan Zhou, Qian Wang, Dan Wang, Xuemei Zhang, Xinping Digit Health Original Research OBJECTIVES: We aimed to construct a theoretical model and an observer-based measurement of shared decision making (SDM) in web-based pharmaceutical care consultation. METHODS: We first constructed a theoretical model through analysis of SDM models and interviews with 24 key informants. Then, the initial measurement was formulated, and the content was evaluated by 16 key informants alone. A cross-sectional study was executed, where 300 provider-patient encounters were collected at the online platform ‘Good Doctor Website’, for reliability and validity assessment. Content validity was evaluated by appropriateness score, that is the median of 7–9 and without disagreement. Interrater reliability was evaluated by Spearman correlation coefficient using 30 out of 300 samples. Single indicator validity was tested by Pearson correlation analysis, and convergent validity was evaluated by the Multiple Indicators Multiple Causes (MIMIC) model using 300 samples. RESULTS: Theoretical model constructed included four elements: ‘comprehensive understanding of the patient's condition’, ‘exchanging ideas on medication options’, ‘achieving a medication plan’, and ‘providing decision support’. Measurement constructed included four dimensions and 19 items, and four dimensions were in accordance with four elements of the theoretical model. We found median scores of these dimensions and items were 7–9 and without disagreement, indicating good content validity. Spearman correlation coefficients of 19 items were greater than 0.750, suggesting good interrater reliability. Pearson coefficients between 19 items and their external variables were significant (p < 0.001), and MIMIC model results showed that the R(2) values of dimensions 1–4 were over 0.5, indicating good single indicator validity and convergent validity. CONCLUSIONS: Characteristics of web-based pharmaceutical care consultation, highlighting the importance of medication history, medication regimen, and detailed medication plan, were observed in the theoretical model. Measurement constructed had good reliability and validity and may be used by health policymakers to improve the quality of pharmaceutical care consultation online. SAGE Publications 2022-04-04 /pmc/articles/PMC8984866/ /pubmed/35402000 http://dx.doi.org/10.1177/20552076221089794 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Chen, Haihong
Xiong, Yuqi
Zhang, Zinan
Zhou, Qian
Wang, Dan
Wang, Xuemei
Zhang, Xinping
Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation
title Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation
title_full Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation
title_fullStr Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation
title_full_unstemmed Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation
title_short Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation
title_sort theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984866/
https://www.ncbi.nlm.nih.gov/pubmed/35402000
http://dx.doi.org/10.1177/20552076221089794
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