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Development of competency model for family physicians against the background of ‘internet plus healthcare’ in China: a mixed methods study

BACKGROUND: Identification of the service competences of family physicians is central to ensuring high-quality primary care and improving patient outcomes. However, little is known about how to assess the family physicians’ service competences in primary care settings. It is necessary to develop and...

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Autores principales: Ni, Ziling, Wang, Xiaohe, Zhou, Siyu, Zhang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488479/
https://www.ncbi.nlm.nih.gov/pubmed/32917223
http://dx.doi.org/10.1186/s12960-020-00507-6
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author Ni, Ziling
Wang, Xiaohe
Zhou, Siyu
Zhang, Tao
author_facet Ni, Ziling
Wang, Xiaohe
Zhou, Siyu
Zhang, Tao
author_sort Ni, Ziling
collection PubMed
description BACKGROUND: Identification of the service competences of family physicians is central to ensuring high-quality primary care and improving patient outcomes. However, little is known about how to assess the family physicians’ service competences in primary care settings. It is necessary to develop and validate a general model of core competences of the family physician under the stage of construction of family doctor system and implementation of ‘Internet Plus Healthcare’ service model in China. METHODS: The literature review, behavioural event interviews, expert consultation and questionnaire survey were performed. The scale’s 35 questions were measured by response rate, highest score, lowest score, and average score for each. Delphi method was used to assess content validity, Cronbach’s α to estimate reliability, and factor analysis to test structural validity. Respondents were randomly divided into two groups; data for one group were used for exploratory factor analysis (EFA) to explore possible model structure. Confirmatory factor analysis (CFA) was then performed. RESULTS: Effective response rate was 93.56%. Cronbach’s α coefficient of the scale was 0.977. Factor analysis showed KMO of 0.988. Bartlett’s test showed χ(2) of 22 917.515 (df = 630), p < .001. Overall authority grade of expert consultation was 0.80, and Kendall’s coefficient of concordance W was 0.194. By EFA, the five-factor model was retained after thorough consideration, and four items with factor loading less than 0.4 were proposed to obtain a five-dimension, 32-item scale. CFA was performed on the new structure, showing high goodness-of-fit test (NFI = 0.98, TLI = 0.91, SRMSR = 0.05, RMSEA = 0.04). Overall Cronbach’s α coefficients of the scale and each sub-item were greater than 0.9. CONCLUSIONS: The scale has good reliability, validity, and credibility and can therefore serve as an effective tool for assessment of Chinese family physicians’ service competences.
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spelling pubmed-74884792020-09-16 Development of competency model for family physicians against the background of ‘internet plus healthcare’ in China: a mixed methods study Ni, Ziling Wang, Xiaohe Zhou, Siyu Zhang, Tao Hum Resour Health Research BACKGROUND: Identification of the service competences of family physicians is central to ensuring high-quality primary care and improving patient outcomes. However, little is known about how to assess the family physicians’ service competences in primary care settings. It is necessary to develop and validate a general model of core competences of the family physician under the stage of construction of family doctor system and implementation of ‘Internet Plus Healthcare’ service model in China. METHODS: The literature review, behavioural event interviews, expert consultation and questionnaire survey were performed. The scale’s 35 questions were measured by response rate, highest score, lowest score, and average score for each. Delphi method was used to assess content validity, Cronbach’s α to estimate reliability, and factor analysis to test structural validity. Respondents were randomly divided into two groups; data for one group were used for exploratory factor analysis (EFA) to explore possible model structure. Confirmatory factor analysis (CFA) was then performed. RESULTS: Effective response rate was 93.56%. Cronbach’s α coefficient of the scale was 0.977. Factor analysis showed KMO of 0.988. Bartlett’s test showed χ(2) of 22 917.515 (df = 630), p < .001. Overall authority grade of expert consultation was 0.80, and Kendall’s coefficient of concordance W was 0.194. By EFA, the five-factor model was retained after thorough consideration, and four items with factor loading less than 0.4 were proposed to obtain a five-dimension, 32-item scale. CFA was performed on the new structure, showing high goodness-of-fit test (NFI = 0.98, TLI = 0.91, SRMSR = 0.05, RMSEA = 0.04). Overall Cronbach’s α coefficients of the scale and each sub-item were greater than 0.9. CONCLUSIONS: The scale has good reliability, validity, and credibility and can therefore serve as an effective tool for assessment of Chinese family physicians’ service competences. BioMed Central 2020-09-11 /pmc/articles/PMC7488479/ /pubmed/32917223 http://dx.doi.org/10.1186/s12960-020-00507-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ni, Ziling
Wang, Xiaohe
Zhou, Siyu
Zhang, Tao
Development of competency model for family physicians against the background of ‘internet plus healthcare’ in China: a mixed methods study
title Development of competency model for family physicians against the background of ‘internet plus healthcare’ in China: a mixed methods study
title_full Development of competency model for family physicians against the background of ‘internet plus healthcare’ in China: a mixed methods study
title_fullStr Development of competency model for family physicians against the background of ‘internet plus healthcare’ in China: a mixed methods study
title_full_unstemmed Development of competency model for family physicians against the background of ‘internet plus healthcare’ in China: a mixed methods study
title_short Development of competency model for family physicians against the background of ‘internet plus healthcare’ in China: a mixed methods study
title_sort development of competency model for family physicians against the background of ‘internet plus healthcare’ in china: a mixed methods study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488479/
https://www.ncbi.nlm.nih.gov/pubmed/32917223
http://dx.doi.org/10.1186/s12960-020-00507-6
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