Identification of patients with neuropathic pain using electronic primary care records.

Camille Gajria, Joanna Murray, Ruthie Birger, Ricky Banarsee, David Lh Bennett, Keith Tan, Mark Field, Andrew Sc Rice, Azeem Majeed
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引用次数: 14

Abstract

Background: Chronic neuropathic pain is a common condition which is challenging to treat. Many people with neuropathic pain are managed in the community, so primary care records may allow more appropriate subjects to be recruited for clinical studies.

Objective: We investigated whether primary care records can be used to identify patients with diseases associated with neuropathic pain.

Method: We analysed demographic, diagnostic and prescribing data from over 100 000 primary care electronic patient records in one part of London, UK.

Results: The prevalence of diagnoses associated with chronic neuropathic pain was 13 per 1000, with the elderly, women and white patients experiencing the greatest burden of disease.

Conclusion: Computerised health records offer an excellent opportunity to improve the identification of patients for clinical research in complex conditions like chronic neuropathic pain. To make full use of data from these records, standardisation of clinical coding and consensus on diagnostic criteria are needed.

使用电子初级保健记录识别神经性疼痛患者。
背景:慢性神经性疼痛是一种常见病,治疗具有挑战性。许多患有神经性疼痛的人在社区接受治疗,因此初级保健记录可能允许招募更合适的受试者进行临床研究。目的:探讨初级保健记录是否可用于识别神经性疼痛相关疾病的患者。方法:我们分析了人口统计,诊断和处方数据,从超过10万初级保健电子病历在伦敦的一部分,英国。结果:诊断与慢性神经性疼痛相关的患病率为每1000人中有13人,老年人、女性和白人患者承受的疾病负担最重。结论:计算机健康记录为慢性神经性疼痛等复杂疾病的临床研究提供了一个很好的机会。为了充分利用这些记录的数据,需要对临床编码进行标准化,并在诊断标准上达成共识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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