Krebs Paul, Rogers Erin, Greenspan Amanda, Goldfeld Keith, Lei Lei, Ostroff Jamie S, Garrett Bridgette E, Momin Behnoosh, Henley S Jane
NYU School of Medicine, New York, NY.
Memorial Sloan Kettering Cancer Center, New York, NY.
J Registry Manag. 2019 Summer;46(2):30-36.
Many tobacco dependent cancer survivors continue to smoke after diagnosis and treatment. This study investigated the extent to which hospital-based cancer registries could be used to identify smokers in order to offer them assistance in quitting. The concordance of tobacco use coded in the registry was compared with tobacco use as coded in the accompanying Electronic Health Records (EHRs).
We gathered data from three hospital-based cancer registries in New York City during June 2014 to December 2016. For each patient identified as a current combustible tobacco user in the cancer registries, we abstracted tobacco use data from their EHR to independently code and corroborate smoking status. We calculated the proportion of current smokers, former smokers, and never smokers as indicated in the EHR for the hospitals, cancer site, cancer stage, and sex. We used a logistic regression model to estimate the log odds of the registry-based smoking status correctly predicting the EHR-based smoking status.
Agreement in current smoking status between the registry-based smoking status and the EHR-based smoking status was 65%, 71%, and 90% at the three participating hospitals. Logistic regression results indicated that agreement in smoking status between the registry and the EHRs varied by hospital, cancer type, and stage, but not by age and sex.
The utility of using tobacco use data in cancer registries for population-based tobacco treatment interventions is dependent on multiple factors including accurate entry into EHR systems, updated data, and consistent smoking status definitions and registry coding protocols. Our study found that accuracy varied across the three hospitals and may not be able to inform interventions at these hospitals at this time. Several changes may be needed to improve the coding of tobacco use status in EHRs and registries.
许多烟草依赖的癌症幸存者在诊断和治疗后仍继续吸烟。本研究调查了基于医院的癌症登记处用于识别吸烟者以便为他们提供戒烟帮助的程度。将登记处编码的烟草使用情况与随附的电子健康记录(EHR)中编码的烟草使用情况进行了比较。
我们收集了2014年6月至2016年12月期间纽约市三个基于医院的癌症登记处的数据。对于在癌症登记处被确定为当前可燃烟草使用者的每位患者,我们从其EHR中提取烟草使用数据以独立编码并确证吸烟状况。我们计算了医院、癌症部位、癌症分期和性别的EHR中所示的当前吸烟者、以前吸烟者和从不吸烟者的比例。我们使用逻辑回归模型来估计基于登记处的吸烟状况正确预测基于EHR的吸烟状况的对数优势。
在三家参与研究的医院中,基于登记处的吸烟状况与基于EHR的吸烟状况之间当前吸烟状况的一致性分别为65%、71%和90%。逻辑回归结果表明,登记处与EHR之间吸烟状况的一致性因医院、癌症类型和分期而异,但不因年龄和性别而异。
在基于人群的烟草治疗干预中使用癌症登记处的烟草使用数据的效用取决于多个因素,包括准确录入EHR系统、更新数据以及一致的吸烟状况定义和登记编码协议。我们的研究发现,三家医院的准确性各不相同,目前可能无法为这些医院的干预措施提供信息。可能需要进行一些改变以改善EHR和登记处中烟草使用状况的编码。