估计2型糖尿病患病率:一种药物消费数据模型
Rita Oliveira1,2,3,4, Matilde Monteiro-Soares5,6,7,8, José Pedro Guerreiro9
1FP-BHS-Biomedical and Health Sciences Research Unit, FFP-I3ID-Instituto de Investigação, Inovação e Desenvolvimento, Faculdade de Ciências da Saúde, Universidade Fernando Pessoa, Rua Carlos da Maia 296, 4200-150 Porto, Portugal.
Pharmacy (Basel, Switzerland)
|February 23, 2024
概括
使用药房药物发行数据估计2型糖尿病 (T2DM) 患病率,为传统研究提供了更快,更具成本效益的替代方案. 该方法为公共卫生应用提供了可靠的T2DM患病率估计.
科学领域:
- 流行病学 流行病学
- 药物经济学 药物经济学
- 公共卫生 公共卫生
背景情况:
- 传统的观察性流行研究是资源密集的.
- 开发间接估计方法可以提高医疗保健应用程序的效率.
- 药物发行数据为患病率估计提供了一个潜在的替代方案.
研究的目的:
- 使用社区药房药物发行数据,估计葡萄牙的2型糖尿病 (T2DM) 患病率.
- 开发和验证一种用于估计T2DM流行率的新型间接方法.
- 评估2018年至2021年期间T2DM患病率的趋势.
主要方法:
- 一项采用2018年和2021年国家抗糖尿病药物发行数据库的横截面研究.
- 基于每天1000名居民每天定义的每日剂量的流行率估计.
- 调整治疗坚持,处方模式和共同处方的抗糖尿病药物.
主要成果:
- 估计T2DM患病率在2018年为13.9%,在2021年为14.2%.
- 观察到2021年抗糖尿病药物消费的显著增加,特别是固定剂量组合和较新的药物.
- 开发的模型展示了一种简单,快速和强大的方法来估计T2DM流行率.
结论:
- 药物发行数据为估计T2DM患病率提供了一种可行和有效的方法.
- 该模型的准确性可能需要进一步细化,随着抗糖尿病药物指示和使用的不断变化.
- 这种方法支持对T2DM进行更快,更具成本效益的公共卫生监测.
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