Basic & Clinical Medicine ›› 2022, Vol. 42 ›› Issue (10): 1572-1576.doi: 10.16352/j.issn.1001-6325.2022.10.1572

• Clinical Sciences • Previous Articles     Next Articles

Quality and influencing factors of patient involvement in clinical decision-making in diagnosis and treatment of stable coronary artery disease

GAO Chuan1, ZHOU Yu-yu1, GAO Ying2*, HE Zhong1*   

  1. 1. School of Humanities and Social Sciences, CAMS & PUMC, Beijing 100005;
    2. Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, CAMS & PUMC, Beijing 100037,China
  • Received:2021-11-12 Revised:2022-04-12 Online:2022-10-05 Published:2022-09-23
  • Contact: * cmuxyg@sina.com;hezhong08@126.com

Abstract: Objective To investigate the quality of patient participation in clinical decision-making and the decision preference of patients in the diagnosis and treatment of stable coronary artery disease(SCAD)and to analyze the influencing factors of decision quality. Methods A total of 126 inpatients in Fuwai Hospital were selected by convenience sampling to investigate their decision quality and decision preference. Univariate analysis and binary logistic regression were used to analyze the influencing factors of decision quality. Results Among 126 patients, 50(39.7%) were active, 26(20.6%) were shared and 50(39.7%) were not active. The average score of decision quality was 81.39. Univariate analysis showed that annual household income, treatment satisfaction and decision preference were the influencing factors of decision quality (P<0.05). Logistic regression analysis showed that patients with high treatment satisfaction (OR=6.722, 95% CI:2.635-17.148) and shared decision preference (OR=5.152, 95% CI:1.477-17.975) had higher decision quality. Conclusions In the diagnosis and treatment of SCAD, shared decision preference can improve decision quality and improve satisfaction. The characteristics of patients are not related to decision quality. To improve the decision quality needs to start with doctors and hospital.

Key words: stable coronary artery disease, shared decision making, decision preference, decision quality

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