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Antecedents and consequences of shared decision making for patients with chronic kidney diseases: A cross-sectional
Kuang-Ming Kuo1, I-Chiu Chang2, Chih-Ming Chen2
1Department of Business Management, National United University, Miaoli, Taiwan, ROC.
Background:
Chronic kidney disease (CKD) has a strong negative impact on patients. Finding ways to improve CKD patients' conditions by shared decision-making is receiving much attention. However, little attention has been paid to influencing antecedents and effects of shared decision-making. Meanwhile, as advanced technologies bring in new communication devices, effects of different types of communications used in shared decision-making need to be addressed.
Objective:
This study proposes a research framework to determine the influencing antecedents of shared decision-making, and to evaluate the effects of shared decision-making on patient outcomes when they are computer-mediated and when the decision-makers communicate face-to-face.
Methods:
A cross-section survey was conducted and a total of 48 valid samples were obtained. The participants were CKD Stage III, IV, or V patients who had received medical treatment in a hospital in Taiwan. The collected data were subjected to an independent t-test and partial least squares analysis to validate the research framework.
Results:
Doctor-patient communication (DPC) and doctor-patient relationship (DPR) have no significant direct impact on patient outcomes. Nevertheless, both DPC and DPR significantly impact shared decision-making which in turn impacts patient outcomes. Moreover, patients who use computer-mediated communication were found to have significantly higher perceptions of shared decision-making than those who did not.
Conclusions:
The incidence and prevalence of end-stage renal disease in Taiwan are among the highest in the world. The results of this study can serve as a reference for hospitals to improve CKD patients' outcomes. Meanwhile, during the COVID-19 pandemic, this study suggested hospitals should encourage shared decision-making with computer-mediated communication to ensure that patients receive proper treatment and have the desired outcomes.
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