基于智慧医疗的O2O模式对居家癌痛患者疼痛结局的影响
Effect of O2O mode based on smart health on pain outcome of cancer pain patients at home
蔡丹丹 1谢李孩 1杨玉娥 1章小飞1
作者信息
- 1. 浙江省人民医院,浙江 杭州,310014
- 折叠
摘要
目的 探讨基于智慧医疗的线上与线下(O2O)模式对居家癌痛患者疼痛结局的影响.方法 将 106 例癌痛患者随机分为对照组和观察组,剔除脱落病例后最终确定对照组 51 例,观察组 52 例.对照组在常规出院指导基础上给予电话随访,观察组在此基础上实施基于智慧医疗的O2O模式.比较两组的疼痛结局.结果 干预 2 周后,观察组的疼痛强度、对疼痛管理感知维度各条目评分均优于对照组(P＜0.05).干预 2 周后,观察组的便秘条目评分低于对照组(P＜0.05).干预2周后,观察组的活动受干扰维度、睡眠受干扰维度、情感维度各条目评分低于对照组(P＜0.05).结论 基于智慧医疗的O2O模式能降低居家癌痛患者的疼痛强度,减少对睡眠和活动的干扰,减轻便秘反应,改善情感状态,提高疼痛管理感知.
Abstract
Objective To explore the effect of online to offline(O2O)mode based on smart health on pain outcome of cancer pain patients at home.Methods A total of 106 patients with cancer pain were randomly divided into control group and observation group.Finally,there were 51 cases in the control group and 52 cases in the observation group after excluding droponts.The control group was given telephone follow-up on the basis of routine discharge guidance,and the observation group was given O2O mode based on smart health on this basis.The pain outcome of the two groups was compared.Results After 2 weeks of intervention,the scores of pain intensity and perception of pain management dimension in the observation group were better than those in the control group(P<0.05).After 2 weeks of intervention,the constipation item score of the observation group was lower than that of the control group(P<0.05).After 2 weeks of intervention,the scores of each item of activity interference dimension,sleep interference dimension and emotional dimension in the observation group were lower than those in the control group(P<0.05).Conclusion The O2O mode based on smart health can reduce the pain intensity of cancer pain patients at home,decrease the interference of sleep and activity,relieve constipation response,improve emotional state,and elevate the perception of pain management.
关键词
智慧医疗/线上与线下模式/癌痛/居家/疼痛结局Key words
smart health/online to offline mode/cancer pain/at home/pain outcome引用本文复制引用
基金项目
2021年浙江省卫生健康科技计划项目(2021KY054)
出版年
2024
NETL
NSTL
万方数据