国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (8): 1399-1403.DOI: 10.3760/cma.j.cn441417-20240912-08035

• 护理研究 • 上一篇    下一篇

互联网随访系统在急性脑梗死患者延续护理中的应用

谢冬梅  柯阳  韦晓全  梁敬红  吕媛媛  虞庆姝   

  1. 柳州市工人医院神经内科,柳州 545007

  • 收稿日期:2024-09-12 出版日期:2025-04-15 发布日期:2025-04-21
  • 通讯作者: 柯阳,Email:284458707@qq.com
  • 基金资助:

    广西壮族自治区卫生健康委员会自筹经费科研课题(Z20200245)

Application of an internet-based follow-up system in continuous nursing for patients with acute cerebral infarction

Xie Dongmei, Ke Yang, Wei Xiaoquan, Liang Jinghong, Lyu Yuanyuan, Yu Qingshu   

  1. Department of Neurology, Liuzhou Workers Hospital, Liuzhou 545007, China

  • Received:2024-09-12 Online:2025-04-15 Published:2025-04-21
  • Contact: Ke Yang, Email: 284458707@qq.com
  • Supported by:

    Self-funded Scientific Research Project of Guangxi Zhuang Autonomous Region Health Commission (Z20200245)

摘要:

目的 探讨互联网随访系统在急性脑梗死患者延续护理中的应用效果。方法 采用前瞻性研究,选取2020年7月至2021年10月柳州市工人医院神经内科收治的104例急性脑梗死患者作为研究对象,随机数字表法分为观察组和对照组两组,每组52例。对照组男36例、女16例,年龄(59.56±9.34)岁;观察组男37例、女15例,年龄(59.27±9.88)岁。对照组根据医院信息管理系统(HIS)导出的出院信息进行随访及记录,观察组通过互联网随访系统对入组的人群开展全面及个性化健康随访指导。均干预3个月,比较两组患者改良Rankin量表(MRS)评分、满意度、生活方式情况、复诊及服药依从性。统计学方法采用非参数Z检验、χ2检验、Fisher确切概率法。结果 干预3个月后,观察组的MRS评分低于对照组[1(0,1)分比1(1,2)分],差异有统计学意义(Z=-1.980,P=0.048);观察组的满意度、经常运动、服药依从性、门诊复诊率均高于对照组[92.31%(48/52)比71.15%(37/52)、76.92%(40/52)比46.15%(24/52)、98.08%(51/52)比84.62%(44/52)、94.23%(49/52)比80.00%(40/52)],差异有统计学意义(均P<0.05);观察组吸烟率低于对照组[11.54%(6/52)比26.92%(14/52)],差异均有统计学意义(χ2=3.962,P=0.047);两组饮酒及复发情况比较,差异均无统计学意义(均P>0.05)。结论 互联网随访系统在急性脑梗死患者延续护理中的应用不仅能满足患者的健康需求、降低吸烟率、促进经常运动,还能提高患者的满意度、复诊及服药依从性,改善预后。

关键词:

脑梗死, 延续性护理, 互联网, 随访系统

Abstract:

Objective To explore the effect for applying internet-based follow-up system in continuous nursing for patients with acute cerebral infarction. Methods One hundred and four patients with acute cerebral infarction treated at Department of Neurology, Liuzhou Workers Hospital from July 2020 to October 2021 were selected for the prospective study, and were divided into an observation group and a control group by the random number table method, with 52 cases in each group. There were 36 males and 16 females in the control group; they were (59.56±9.34) years old. There were 37 males and 15 females in the observation group; they were (59.27±9.88) years old. The control group was followed up and recorded based on the discharge information extracted from the hospital information management system (HIS), while the observation group received comprehensive and personalized health follow-up guidance through the internet-based follow-up system for the enrolled individuals. Both groups were intervened for 3 months. The scores of the modified Rankin scale (MRS), satisfaction, lifestyle conditions, return visits, and medication compliance were compared between the two groups. The statistical methods employed included the non-parametric Z test, χ2 test, and Fisher's precision probability test. Results After three months' intervention, the score of MRS in the observation group was lower than that in the control group [1 (0, 1) vs. 1 (1, 2)], with a statistical difference (Z=-1.980; P=0.048). The satisfaction rate, regular exercise rate, medication compliance rate, and outpatient return visit rate in the observation group were higher than those in the control group [92.31% (48/52) vs. 71.15% (37/52), 76.92% (40/52) vs. 46.15% (24/52), 98.08%(51/52) vs. 84.62%(44/52), and 94.23% (49/52) vs. 80.00% (40/52)], with statistical differences (all P<0.05). The smoking rate in the observation group was lower than that in the control group [11.54% (6/52) vs. 26.92% (14/52)], with a statistical difference (χ2=3.962; P=0.047). There were no statistical differences in the alcohol consumption and recurrence rate between the two groups (both P>0.05). Conclusion The internet-based follow-up system can not only address patients' health needs reducing the smoking rate and promoting regular exercise, but also enhance patient satisfaction with return visits and medication compliance and improve their prognosis.

Key words:

Cerebral infarction, Continuous nursing, Internet, Follow-up system