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Determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory

OBJECTIVE: To investigate the determinants of willingness and practice of physicians’ online medical services (OMS) uptake based on social ecosystem theory, so as to formulate OMS development strategies. DESIGN: Cross-sectional survey. SETTING: Research was conducted in two comprehensive hospitals a...

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Autores principales: Peng, Xueqing, Li, Zhiguang, Zhang, Chi, Liu, Rui, Jiang, Yongzhi, Chen, Jiayu, Qi, Zixin, Ge, Jinjin, Zhao, Shiqi, Zhou, Meng, You, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449954/
https://www.ncbi.nlm.nih.gov/pubmed/34531212
http://dx.doi.org/10.1136/bmjopen-2021-048851
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author Peng, Xueqing
Li, Zhiguang
Zhang, Chi
Liu, Rui
Jiang, Yongzhi
Chen, Jiayu
Qi, Zixin
Ge, Jinjin
Zhao, Shiqi
Zhou, Meng
You, Hua
author_facet Peng, Xueqing
Li, Zhiguang
Zhang, Chi
Liu, Rui
Jiang, Yongzhi
Chen, Jiayu
Qi, Zixin
Ge, Jinjin
Zhao, Shiqi
Zhou, Meng
You, Hua
author_sort Peng, Xueqing
collection PubMed
description OBJECTIVE: To investigate the determinants of willingness and practice of physicians’ online medical services (OMS) uptake based on social ecosystem theory, so as to formulate OMS development strategies. DESIGN: Cross-sectional survey. SETTING: Research was conducted in two comprehensive hospitals and two community hospitals in Jiangsu, China, and the data were gathered from 1 June to 31 June 2020. PARTICIPANTS: With multistage sampling, 707 physicians were enrolled in this study. OUTCOME MEASURE: Descriptive statistics were reported for the basic characteristics. χ(2) test, Mann-Whitney U test and Spearman’s correlation analysis were used to perform univariate analysis. Linear regression and logistic regression were employed to examine the determinants of physicians’ OMS uptake willingness and actual uptake, respectively. RESULTS: The mean score of the physicians’ OMS uptake willingness was 17.33 (range 5–25), with an SD of 4.39, and 53.3% of them reported having conducted OMS. In the micro system, factors positively associated with willingness included holding administrative positions (b=1.03, p<0.05), OMS-related awareness (b=1.32, p<0.001) and OMS-related skills (b=4.88, p<0.001); the determinants of actual uptake included holding administrative positions (OR=2.89, 95% CI 1.59 to 5.28, p<0.01), OMS-related awareness (OR=1.90, 95% CI 1.22 to 2.96, p<0.01), OMS-related skills (OR=2.25, 95% CI 1.35 to 3.74, p<0.01) and working years (OR=2.44, 95% CI 1.66 to 3.59, p<0.001). In the meso system, the hospital’s incentive mechanisms (b=0.78, p<0.05) were correlated with willingness; hospital advocated for OMS (OR=2.34, 95% CI 1.21 to 4.52, p<0.05), colleagues’ experiences (OR=3.81, 95% CI 2.25 to 6.45, p<0.001) and patients’ consultations (OR=2.93, 95% CI 2.02 to 4.25, p<0.001) were determinants of actual uptake. In the macro system, laws and policies were correlated with willingness (b=0.73, p<0.05) and actual uptake (OR=1.98, 95% CI 1.31 to 2.99, p<0.01); media orientation was also associated with willingness (b=0.74, p<0.05). CONCLUSION: Multiple determinants influence physicians’ OMS application. Comprehensive OMS promotion strategies should be put forward from multidimensional perspectives including the micro, meso and macro levels.
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spelling pubmed-84499542021-10-01 Determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory Peng, Xueqing Li, Zhiguang Zhang, Chi Liu, Rui Jiang, Yongzhi Chen, Jiayu Qi, Zixin Ge, Jinjin Zhao, Shiqi Zhou, Meng You, Hua BMJ Open Public Health OBJECTIVE: To investigate the determinants of willingness and practice of physicians’ online medical services (OMS) uptake based on social ecosystem theory, so as to formulate OMS development strategies. DESIGN: Cross-sectional survey. SETTING: Research was conducted in two comprehensive hospitals and two community hospitals in Jiangsu, China, and the data were gathered from 1 June to 31 June 2020. PARTICIPANTS: With multistage sampling, 707 physicians were enrolled in this study. OUTCOME MEASURE: Descriptive statistics were reported for the basic characteristics. χ(2) test, Mann-Whitney U test and Spearman’s correlation analysis were used to perform univariate analysis. Linear regression and logistic regression were employed to examine the determinants of physicians’ OMS uptake willingness and actual uptake, respectively. RESULTS: The mean score of the physicians’ OMS uptake willingness was 17.33 (range 5–25), with an SD of 4.39, and 53.3% of them reported having conducted OMS. In the micro system, factors positively associated with willingness included holding administrative positions (b=1.03, p<0.05), OMS-related awareness (b=1.32, p<0.001) and OMS-related skills (b=4.88, p<0.001); the determinants of actual uptake included holding administrative positions (OR=2.89, 95% CI 1.59 to 5.28, p<0.01), OMS-related awareness (OR=1.90, 95% CI 1.22 to 2.96, p<0.01), OMS-related skills (OR=2.25, 95% CI 1.35 to 3.74, p<0.01) and working years (OR=2.44, 95% CI 1.66 to 3.59, p<0.001). In the meso system, the hospital’s incentive mechanisms (b=0.78, p<0.05) were correlated with willingness; hospital advocated for OMS (OR=2.34, 95% CI 1.21 to 4.52, p<0.05), colleagues’ experiences (OR=3.81, 95% CI 2.25 to 6.45, p<0.001) and patients’ consultations (OR=2.93, 95% CI 2.02 to 4.25, p<0.001) were determinants of actual uptake. In the macro system, laws and policies were correlated with willingness (b=0.73, p<0.05) and actual uptake (OR=1.98, 95% CI 1.31 to 2.99, p<0.01); media orientation was also associated with willingness (b=0.74, p<0.05). CONCLUSION: Multiple determinants influence physicians’ OMS application. Comprehensive OMS promotion strategies should be put forward from multidimensional perspectives including the micro, meso and macro levels. BMJ Publishing Group 2021-09-16 /pmc/articles/PMC8449954/ /pubmed/34531212 http://dx.doi.org/10.1136/bmjopen-2021-048851 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Peng, Xueqing
Li, Zhiguang
Zhang, Chi
Liu, Rui
Jiang, Yongzhi
Chen, Jiayu
Qi, Zixin
Ge, Jinjin
Zhao, Shiqi
Zhou, Meng
You, Hua
Determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory
title Determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory
title_full Determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory
title_fullStr Determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory
title_full_unstemmed Determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory
title_short Determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory
title_sort determinants of physicians’ online medical services uptake: a cross-sectional study applying social ecosystem theory
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449954/
https://www.ncbi.nlm.nih.gov/pubmed/34531212
http://dx.doi.org/10.1136/bmjopen-2021-048851
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