中华护理杂志 ›› 2024, Vol. 59 ›› Issue (13): 1562-1567.DOI: 10.3761/j.issn.0254-1769.2024.13.004

• 改善护理服务行动计划的实践与成效专题 • 上一篇    下一篇

智能化癌性疼痛患者出院随访系统的构建及应用

李鹤(), 章梅云(), 俞素芬, 唐林娜, 施晓兰   

  1. 310003 杭州市 浙江大学医学院附属第一医院护理部(李鹤,章梅云),肿瘤内科(俞素芬,唐林娜),肝胆胰外科(施晓兰)
  • 收稿日期:2023-10-26 出版日期:2024-07-10 发布日期:2024-07-02
  • 通讯作者: 章梅云,E-mail:23472347@zju.edu.cn
  • 作者简介:李鹤:女,硕士,主管护师,E-mail:1515134@zju.edu.cn
  • 基金资助:
    浙江省医药卫生科技计划项目(2021KY154)

Construction and application of an intelligent discharge follow-up information system for patients with cancer pain

LI He(), ZHANG Meiyun(), YU Sufen, TANG Linna, SHI Xiaolan   

  • Received:2023-10-26 Online:2024-07-10 Published:2024-07-02

摘要:

目的 构建智能化癌性疼痛患者出院随访系统并进行应用,旨在为提高医院随访效率,促进患者居家疼痛管理提供借鉴。 方法 智能化癌性疼痛患者出院随访系统包括患者自我报告平台和管理员操作平台2个平台;管理员操作平台由工作台模块、随访计划模块、随访结果模块、健康宣教模块和数据统计模块5大模块构成。2022年1月该系统在临床正式应用,分析系统的应用情况并比较系统应用前(2020年1月—2021年12月)与应用后(2022年1月—2023年11月)患者随访完成率、用药依从率、中重度疼痛发生率和对疼痛控制的满意度等。 结果 该系统目前已在医院95个癌性疼痛相关病房推广应用。2022年1月—2023年11月,应随访4 248人次,实际完成随访4 127人次,随访完成率为97.2%,随访及时完成率为94.9%,系统自动随访率为40.1%,患者异常情况报告率为31.9%,患者异常情况报告及时处理率为89.1%;系统应用后癌性疼痛患者随访完成率提高,差异具有统计学意义(P<0.001);系统应用后患者用药依从率由86.9%上升至91.0%、中重度疼痛发生率由6.8%下降至5.2%、对疼痛控制的满意度由81.0%上升至83.5%,差异均具有统计学意义(P<0.05)。 结论 应用智能化癌性疼痛患者出院随访系统能有效提高癌性疼痛患者出院随访率,促进患者居家癌性疼痛的管理。

关键词: 癌症, 疼痛, 随访, 信息化, 延续性护理, 肿瘤护理

Abstract:

Objective To construct and apply an intelligent follow-up information system for patients with cancer pain, providing references for improving the efficiency of hospital follow-up and promoting pain management of patients at home. Methods The intelligent discharge follow-up system for patients with cancer pain includes 2 platforms,namely a patient self-report platform and an administrator operation platform. The administrator operation platform consists of 5 modules,namely the workbench module,the follow-up plan module,the follow-up results module,the health education module and the data statistics module. In January 2022,the system was officially put into clinical application. The use of the system was analyzed,and patients’ completion rate,medication compliance,incidence of moderate and severe pain and satisfaction with pain control were compared before(from January 2020 to December 2021) and after(from January 2022 to November 2023) the application of the system. Results At present,this system has been applied in 95 cancer-related wards of our hospital. From January 2022 to November 2023,the number of people who should be followed up was 4 248,and the number of people who actually completed the follow-up was 4 127;the rate of follow-up completion was 97.2%;the rate of timely completion of the follow-up was 94.9%;the rate of automatic follow-up by the system was 40.1%;the rate of patient abnormality report was 31.9%;the rate of timely treatment of patient abnormality report was 89.1%. After the application of the system,the completion rate of pain follow-up was increased,and the difference was statistically significant(P<0.001). After the application of the system,the medication compliance rate of patients with cancer pain increased from 86.9% to 91.0%;the incidence of moderate and severe pain decreased from 6.8% to 5.2%;the satisfaction with pain control increased from 81.0% to 83.5%(P<0.05). Conclusion The intelligent discharge follow-up system for patients with cancer pain can effectively improve the discharge follow-up efficiency and promote the management of patients with cancer pain at home.

Key words: Cancer, Pain, Follow-Up, Informatization, Continuous Nursing, Oncologic Nursing