开发和验证慢性病患者药物不服药的诺莫格拉姆模型
Xiaona Wu1, Fang Tang2, Huanhuan Li3
1School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, China.
Journal of psychosomatic research
|June 10, 2023
概括
在中国慢性病患者中,不服药是常见的. 一个经过验证的名录模型识别了教育和信仰等关键因素,以改善药物管理.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 药物不服药显著影响慢性病 (CKD) 患者的治疗结果和医疗费用.
- 解决不遵守问题对于有效的CKD管理至关重要.
研究的目的:
- 开发和验证一种预测中国CKD患者药物不服药的诺莫格拉姆模型.
- 为了确定与这种人群中药物不服药相关的关键因素.
主要方法:
- 一项涉及中国1206名CKD患者的多中心横截面研究.
- 利用莫里斯基药物坚持度表和各种问卷来评估坚持度和相关因素.
- 采用最小绝对收缩和选择运算符 (LASSO) 回归来进行因子选择,并使用一致性指数和霍斯默-莱梅斯测试验证该模型.
主要成果:
- 药物不服药的患病率为63.8%.
- 经过验证的诺莫格拉姆模型纳入了教育水平,职业地位,CKD持续时间,药物信仰和疾病接受.
- 模型性能在内部和外部验证集中显示出良好的区分和校准.
结论:
- 在中国的CKD患者中,药物不服药的患病率很高.
- 开发的诺莫格拉姆模型是用于预测非坚持的验证工具.
- 这个模型可以整合到临床实践中,用于长期药物管理策略.
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