Concordance Between Electronic Health Record and Tumor Registry Documentation of Smoking Status Among Patients With Cancer

被引:6
作者
LeLaurin, Jennifer H. [1 ]
Gurka, Matthew J. [1 ]
Chi, Xiaofei [1 ]
Lee, Ji-Hyun [2 ,3 ]
Hall, Jaclyn [1 ]
Warren, Graham W. [4 ,5 ]
Salloum, Ramzi G. [1 ]
机构
[1] Univ Florida, Coll Med, Dept Hlth Outcomes & Biomed Informat, 2004 Mowry Rd, Gainesville, FL 32610 USA
[2] Univ Florida, Div Quantitat Sci, Hlth Canc Ctr, Gainesville, FL 32610 USA
[3] Univ Florida, Dept Biostat, Gainesville, FL 32610 USA
[4] Med Univ South Carolina, Dept Radiat Oncol, Charleston, SC 29425 USA
[5] Med Univ South Carolina, Dept Cell & Mol Pharmacol, Charleston, SC 29425 USA
关键词
LUNG-CANCER; TOBACCO USE; CESSATION SUPPORT; MEDICAL-RECORDS; ACCURACY; IMPACT; ASSOCIATION; PREDICTORS; GUIDELINES; VETERANS;
D O I
10.1200/CCI.20.00187
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PURPOSE Patients with cancer who use tobacco experience reduced treatment effectiveness, increased risk of recurrence and mortality, and diminished quality of life. Accurate tobacco use documentation for patients with cancer is necessary for appropriate clinical decision making and cancer outcomes research. Our aim was to assess agreement between electronic health record (EHR) smoking status data and cancer registry data. MATERIALS AND METHODS We identified all patients with cancer seen at University of Florida Health from 2015 to 2018. Structured EHR smoking status was compared with the tumor registry smoking status for each patient. Sensitivity, specificity, positive predictive values, negative predictive values, and Kappa statistics were calculated. We used logistic regression to determine if patient characteristics were associated with odds of agreement in smoking status between EHR and registry data. RESULTS We analyzed 11,110 patient records. EHR smoking status was documented for nearly all (98%) patients. Overall kappa (0.78; 95% CI, 0.77 to 0.79) indicated moderate agreement between the registry and EHR. The sensitivity was 0.82 (95% CI, 0.81 to 0.84), and the specificity was 0.97 (95% CI, 0.96 to 0.97). The logistic regression results indicated that agreement was more likely among patients who were older and female and if the EHR documentation occurred closer to the date of cancer diagnosis. CONCLUSION Although documentation of smoking status for patients with cancer is standard practice, we only found moderate agreement between EHR and tumor registry data. Interventions and research using EHR data should prioritize ensuring the validity of smoking status data. Multilevel strategies are needed to achieve consistent and accurate documentation of smoking status in cancer care.
引用
收藏
页码:518 / 526
页数:9
相关论文
共 52 条
[1]   The Electronic Medical Record's Role in Support of Smoking Cessation Activities [J].
Bae, Jaeyong ;
Ford, Eric W. ;
Huerta, Timothy R. .
NICOTINE & TOBACCO RESEARCH, 2016, 18 (05) :1019-1024
[2]   Smoking-Cessation Assistance: Before and After Stage 1 Meaningful Use Implementation [J].
Bailey, Steffani R. ;
Heintzman, John D. ;
Marino, Miguel ;
Jacob, R. Lorie ;
Puro, Jon E. ;
DeVoe, Jennifer E. ;
Burdick, Tim E. ;
Hazlehurst, Brian L. ;
Cohen, Deborah J. ;
Fortmann, Stephen P. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2017, 53 (02) :192-200
[3]   Use of electronic health records to support smoking cessation [J].
Boyle, Raymond ;
Solberg, Leif ;
Fiore, Michael .
COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2014, (12)
[4]   Equity impact of population-level interventions and policies to reduce smoking in adults: A systematic review [J].
Brown, Tamara ;
Platt, Stephen ;
Amos, Amanda .
DRUG AND ALCOHOL DEPENDENCE, 2014, 138 :7-16
[5]   Validation of Veterans Affairs Electronic Medical Record Smoking Data Among Iraq- and Afghanistan-Era Veterans [J].
Calhoun, Patrick S. ;
Wilson, Sarah M. ;
Hertzberg, Jeffrey S. ;
Kirby, Angela C. ;
McDonald, Scott D. ;
Dennis, Paul A. ;
Bastian, Lori A. ;
Dedert, Eric A. ;
Beckham, Jean C. .
JOURNAL OF GENERAL INTERNAL MEDICINE, 2017, 32 (11) :1228-1234
[6]  
Center for Medicaid and Medicare Services, 2014, EL PROF MEAN US COR, DOI DOI 10.1007/s00134-012-2769-8
[7]   A systematic review of the impact of stigma and nihilism on lung cancer outcomes [J].
Chambers, Suzanne K. ;
Dunn, Jeffrey ;
Occhipinti, Stefano ;
Hughes, Suzanne ;
Baade, Peter ;
Sinclair, Sue ;
Aitken, Joanne ;
Youl, Pip ;
O'Connell, Dianne L. .
BMC CANCER, 2012, 12
[8]   The Accuracy and Trends of Smoking History Documentation in Electronic Medical Records in a Large Managed Care Organization [J].
Chen, Lie-Hong ;
Quinn, Virginia ;
Xu, Lanfang ;
Gould, Michael K. ;
Jacobsen, Steven J. ;
Koebnick, Corinna ;
Reynolds, Kristi ;
Hechter, Rulin C. ;
Chao, Chun R. .
SUBSTANCE USE & MISUSE, 2013, 48 (09) :731-742
[9]   Cross sectional study to assess the accuracy of electronic health record data to identify patients in need of lung cancer screening [J].
Cole A.M. ;
Pflugeisen B. ;
Schwartz M.R. ;
Miller S.C. .
BMC Research Notes, 11 (1)
[10]   Tobacco Treatment Program Implementation at NCI Cancer Centers: Progress of the NCI Cancer Moonshot-Funded Cancer Center Cessation Initiative [J].
D'Angelo, Heather ;
Rolland, Betsy ;
Adsit, Robert ;
Baker, Timothy B. ;
Rosenblum, Marika ;
Pauk, Danielle ;
Morgan, Glen D. ;
Fiore, Michael C. .
CANCER PREVENTION RESEARCH, 2019, 12 (11) :735-740