Selak Vanessa, Wells Susan, Whittaker Robyn, Stewart Alistair
Clinical Trials Research Unit, The University of Auckland, New Zealand.
Inform Prim Care. 2006;14(4):235-41; discussion 242-5. doi: 10.14236/jhi.v14i4.635.
To investigate the recording of smoking status and factors associated with the recording of smoking status in general practitioner (GP) electronic medical records (EMRs) in New Zealand, and the suitability of this source as a prevalence measure.
General practices affiliated with an Auckland-based primary health organisation.
Patients registered with 84/107 (78.5%) eligible GPs who had used EMRs for at least a year and had PREDICT-CVD, a web-based cardiovascular disease risk assessment and management decision support program, integrated with their practice software.
Audit of EMRs using data from an evaluation of PREDICT-CVD.
The proportion of EMRs audited (Maori, non-Maori) with smoking status recorded and, among those with smoking status recorded, also Read-coded, and factors associated with greater recording of smoking status.
Smoking status was recorded among 49.6% of Maori and 38.3% of non-Maori prior to the installation of PREDICT-CVD. Among those with smoking status recorded, smoking status was also Read-coded among 49.8% of Maori and 62.3% of non-Maori. Factors associated with greater recording of smoking status were installation of PREDICT-CVD, male sex, Maori ethnicity, cardiovascular disease and diabetes. Age was also associated with the recording of smoking status.
General practitioner electronic medical records in New Zealand are currently not a suitable source of smoking prevalence data, even if manually searched, as a large proportion of records did not have smoking status recorded. Such records are an even less suitable source of smoking prevalence if data extraction by remote querying (using Read codes) is relied upon. The potential to estimate the prevalence of smoking from GP records has not yet become a reality. Installation of electronic decision support systems, such as PREDICT-CVD, could improve the recording and Read-coding of smoking status, and thereby the availability and accessibility of these data.
调查新西兰全科医生(GP)电子病历(EMR)中吸烟状况的记录情况以及与吸烟状况记录相关的因素,评估该数据源作为患病率衡量指标的适用性。
隶属于奥克兰一家初级卫生组织的全科诊所。
在107名符合条件的全科医生中,有84名(78.5%)使用电子病历至少一年,且其诊所软件集成了基于网络的心血管疾病风险评估与管理决策支持程序PREDICT-CVD,研究对象为这些医生所登记的患者。
利用PREDICT-CVD评估数据对电子病历进行审核。
审核的电子病历(毛利人、非毛利人)中记录吸烟状况的比例,以及在记录了吸烟状况的病历中,同时进行了Read编码的比例,还有与吸烟状况记录更完整相关的因素。
在安装PREDICT-CVD之前,49.6%的毛利人和38.3%的非毛利人的吸烟状况被记录。在记录了吸烟状况的人群中,49.8%的毛利人和62.3%的非毛利人的吸烟状况也进行了Read编码。与吸烟状况记录更完整相关的因素包括安装PREDICT-CVD、男性、毛利族裔、心血管疾病和糖尿病。年龄也与吸烟状况的记录有关。
即使进行人工检索,新西兰全科医生的电子病历目前也不是吸烟患病率数据的合适来源,因为很大一部分记录未记录吸烟状况。如果依赖远程查询(使用Read编码)提取数据,这些记录作为吸烟患病率来源更不合适。从全科医生记录中估计吸烟患病率的可能性尚未成为现实。安装电子决策支持系统,如PREDICT-CVD,可改善吸烟状况的记录和Read编码,从而提高这些数据的可用性和可获取性。