在初级保健中识别患有慢性疼痛的人群:开发一种算法和逻辑规则,应用于编码的初级保健诊断和药物数据
Nasrin Hafezparast1, Ellie Bragan Turner1, Rupert Dunbar-Rees1
1Outcomes Based Healthcare, 11-13 Cavendish Square, Marylebone, London, W1G 0AN, UK.
BMC primary care
|September 10, 2023
概括
结合诊断和药物代码的新算法改善了从初级保健数据的慢性疼痛患病率估计. 这种方法提供了更具代表性的数据,有助于更好地管理慢性疼痛人群.
科学领域:
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 初级保健数据低估了慢性疼痛的患病率,通常仅依赖于止痛药的处方.
- 非药物疼痛管理策略越来越普遍,进一步歪曲基于药物的流行率估计.
- 准确的慢性疼痛患病率数据对于了解其复杂性质和有效管理至关重要.
结论:
- 开发的算法提高了使用编码的初级保健数据对慢性疼痛患病率估计的准确性.
- 这种方法可以促进慢性疼痛的系统识别和基于人口的治疗.
- 改善的患病率数据支持更好地管理慢性疼痛患者的症状负担.
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