主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2023, Vol. 23 ›› Issue (5): 676-680.doi: 10.3969/j.issn.1672-1756.2023.05.008

• Research Papers • Previous Articles     Next Articles

Latent category characters of patients with aortic dissection after surgery and its related factors

HAN Yaru, XU Jiayi, LI Ruru, WANG Jue, WANG Miao, ZHANG Liqing   

  1. School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang province, 325035, China
  • Online:2023-05-15 Published:2023-05-15
  • Contact: E-mail:1390406419@qq.com

Abstract: Objective: We classified medication adherence characteristics of aortic dissection patients after surgery and explored related factors. To formulate targeted management programs, the physiological indexes were followed in different categories of population. Methods: This was a cross-sectional study. A total of 306 patients with aortic dissection who were admitted to the follow-up clinic of Cardiac Surgery in a hospital in Zhejiang province from July 2021 to September 2022 were selected as the research objects. Latent profile analysis was used to characterize their medication adherence. To assess the differences between subgroup characteristics and related factors, single factor analysis and binary Logistic regression were performed. Results: Patients could be divided into two potential categories of low medication compliance (59.1%) and good medication compliance (40.9%). Binary Logistic regression showed that annual income ≥50,000 yuan (OR=2.185) and self-efficacy (OR=1.173) were protective factors for patients' medication adherence. Blood pressure was better controlled in people who adhered to their medications. Conclusions: There are two potential categories of medication adherence in patients after aortic dissection. The medical staff should take targeted interventions according to individual patient's characteristics and problems.

Key words: aortic dissection; medication adherence; latent profile analysis

CLC Number: R473.6;R197