Suppr超能文献

验证健康改进网络(THIN)初级保健数据库,以监测戒烟药物处方。

Validation of The Health Improvement Network (THIN) primary care database for monitoring prescriptions for smoking cessation medications.

机构信息

UK Centre for Tobacco Control Studies, The University of Nottingham, UK.

出版信息

Pharmacoepidemiol Drug Saf. 2010 Jun;19(6):586-90. doi: 10.1002/pds.1960.

Abstract

PURPOSE

Evaluation of tobacco policy requires high quality and timely data on smoking cessation behaviour in the general population and in relevant target groups. Electronic primary care databases have the potential to provide a valuable source of data due to their size and continuity, and the availability of demographic and socioeconomic data. We therefore sought to investigate whether The Health Improvement Network (THIN) prescribing data are complete and can therefore be used to monitor trends in the prescribing of smoking cessation medications.

METHODS

The THIN smoking cessation medication prescriptions data for England were compared with smoking cessation medication dispensing data from NHS Prescription Services for January 2004 to December 2005.

RESULTS

Throughout the period the rates of prescribing and dispensing were very similar, both for nicotine replacement therapy (NRT) and bupropion combined, and for each type of medication alone. For NRT, dispensing exceeded recorded GP prescribing by 5.5% during the study period. For bupropion, prescribing exceeded dispensing by 5%.

CONCLUSIONS

THIN prescribing and national dispensing data are highly comparable. THIN prescribing data could potentially be used to monitor longitudinal trends in prescribing for smoking cessation medications.

摘要

目的

评估烟草政策需要高质量和及时的关于普通人群和相关目标人群戒烟行为的数据。由于电子初级保健数据库的规模和连续性,以及人口统计学和社会经济学数据的可用性,它们具有提供有价值数据来源的潜力。因此,我们试图调查健康改善网络(THIN)处方数据是否完整,因此能否用于监测戒烟药物处方的趋势。

方法

将英格兰的 THIN 戒烟药物处方数据与 2004 年 1 月至 2005 年 12 月 NHS 处方服务的戒烟药物配药数据进行比较。

结果

在整个研究期间,尼古丁替代疗法(NRT)和安非他酮联合治疗以及每种药物单独治疗的处方率和配药率都非常相似。在研究期间,NRT 的配药量比记录的全科医生处方量多 5.5%。对于安非他酮,处方量比配药量多 5%。

结论

THIN 处方和全国配药数据高度可比。THIN 处方数据有可能用于监测戒烟药物处方的纵向趋势。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验