天津护理 ›› 2026, Vol. 34 ›› Issue (4): 424-430.DOI: 10.3969/j.issn.1006-9143.2026.04.009

• 心血管疾病护理专题 • 上一篇    下一篇

基于渥太华决策支持框架的门诊高血压患者参与治疗决策现状及影响因素分析

季景媛 1 崔萌 1 周元坤 1 徐鋆卉 1 王思远 2 何怡 3 刘慧 4 穆纯 5   

  1. (1. 天津市胸科医院,天津 300051;2. 天津医科大学;3. 天津市河东区大直沽街社区卫生服务中心;4. 天津市人民医院;5. 天津医科大学朱宪彝纪念医院)
  • 出版日期:2026-08-28 发布日期:2026-09-02
  • 基金资助:
    天津市医学重点学科建设项目(TJYXZDXK-3-030C);天津市医院协会医院管理研究项目(2024zc089)

Status and influencing factors of participation in treatment decision-making among outpatients with hypertension based on the Ottawa Decision Support Framework

JI Jingyuan¹, CUI Meng¹, ZHOU Yuankun¹, XU Junhui¹, WANG Siyuan², HE Yi³, LIU Hui⁴, MU Chun5   

  1. (1. Tianjin Chest Hospital, Tianjin 300051; 2. Tianjin Medical University; 3. Dazhigu Street Community Health Service Center, Hedong District, Tianjin; 4. Tianjin People's Hospital; 5. Tianjin Medical University Chu Hsien-I Memorial Hospital)
  • Online:2026-08-28 Published:2026-09-02

摘要: 目的:调查门诊高血压患者参与治疗决策的现状并分析其影响因素。方法:选取天津市 3 所三级甲等医院和 1 所社区卫生服务中心门诊就诊的高血压患者为研究对象,在渥太华决策支持框架指导下,采用一般资料调查表、决策参与量表、决策冲突量表、社会支持评定量表、治疗决策满意度量表进行问卷调查。采用多分类 Logistic 回归分析探讨门诊高血压患者参与治疗决策的影响因素。结果:共纳入 350 例门诊高血压患者,实际治疗决策参与程度以被动型为主,占比 61.1%。多分类 Logistic 回归分析显示,病程、职业、吸烟史、决策冲突、治疗决策参与偏好和治疗决策满意度的信息、交流协商维度是门诊高血压患者实际治疗决策参与程度的影响因素(P<0.05)。结论:门诊高血压患者实际治疗决策参与程度较被动,提示医护人员应根据患者参与治疗决策的影响因素,采取个性化的措施,鼓励患者积极向合作型治疗决策参与程度转变。

关键词: 高血压, 渥太华决策支持框架, 治疗决策, 现状, 影响因素

Abstract: Objective: To investigate the current status of participation in treatment decision-making among outpatients with hypertension, and to analyze its influencing factors. Methods: Hypertensive outpatients from three tertiary grade A hospitals and one community health service center in Tianjin were selected as the study subjects. Guided by the Ottawa Decision Support Framework, a survey was conducted using the General Information Questionnaire, the Control Preferences Scale, the Decisional Conflict Scale, the Social Support Rating Scale, and the Satisfaction with Treatment Decision-Making Scale. Multinomial logistic regression analysis was used to explore the influencing factors of participation in treatment decision-making among outpatients with hypertension. Results: A total of 350 outpatients with hypertension were included. The actual degree of participation in treatment decision-making was predominantly passive, accounting for 61.1%. Multinomial logistic regression analysis showed that course of disease, occupation, smoking history, decisional conflict, treatment decision-making preference, and the information and communication-negotiation dimensions of satisfaction with treatment decision-making were influencing factors of the actual degree of participation in treatment decision-making among outpatients with hypertension (P<0.05). Conclusion: The actual degree of participation in treatment decision-making among outpatients with hypertension is relatively passive, suggesting that healthcare providers should adopt individualized measures based on the influencing factors of patient participation, and encourage patients to actively shift toward a collaborative type of participation in treatment decision-making.

Key words: Hypertension, Ottawa Decision Support Framework, Treatment decision-making, Status, Influencing factors