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RESEARCH PAPER
Electronic Medical Record Tobacco Use Vital Sign
Frank Sonneberg
3,2
| 1 | Division of Medical Informatics, Department of Medicine, New Jersey Medical School, USA |
| 2 | University of Medicine and Dentistry of New Jersey, Newark, USA |
| 3 | Department of Medicine, Robert Wood Johnson Medical School, USA |
CORRESPONDING AUTHOR
Publication date: 2004-06-15
Tobacco Induced Diseases 2004;2(June):109
KEYWORDS
ABSTRACT
Objective:
Determination of the prevalence of tobacco use and impact of tobacco prevention/treatment efforts in an electronic medical record enabled practice utilizing a defined tobacco vital sign variable.
Design and Measurements:
Retrospective cohort study utilizing patient data recorded in an electronic medical record database between July 15, 2001, and May 31, 2003. Patient-reported tobacco use status was obtained for each of 6,771 patients during the pre-provider period of their 24,824 visits during the study period with the recorder blinded to past tobacco use status entries.
Results:
An overall current tobacco use prevalence of 27.1% was found during the study period. Tobacco use status was recorded in 96% of visits. Comparison of initial to final visit tobacco use status demonstrates a consistency rate of 75.0% declaring no change in tobacco status in the 4,522 patients with two or more visits. An 8.6% net tobacco use decline was seen for the practice (p value < 0.001)
Conclusion:
Self reported tobacco use status as a vital sign embedded within the workflow of an electronic medical record enabled practice was a quantitative tool for determination of tobacco use prevalence and a measuring stick of risk prevention/intervention impact.
Determination of the prevalence of tobacco use and impact of tobacco prevention/treatment efforts in an electronic medical record enabled practice utilizing a defined tobacco vital sign variable.
Design and Measurements:
Retrospective cohort study utilizing patient data recorded in an electronic medical record database between July 15, 2001, and May 31, 2003. Patient-reported tobacco use status was obtained for each of 6,771 patients during the pre-provider period of their 24,824 visits during the study period with the recorder blinded to past tobacco use status entries.
Results:
An overall current tobacco use prevalence of 27.1% was found during the study period. Tobacco use status was recorded in 96% of visits. Comparison of initial to final visit tobacco use status demonstrates a consistency rate of 75.0% declaring no change in tobacco status in the 4,522 patients with two or more visits. An 8.6% net tobacco use decline was seen for the practice (p value < 0.001)
Conclusion:
Self reported tobacco use status as a vital sign embedded within the workflow of an electronic medical record enabled practice was a quantitative tool for determination of tobacco use prevalence and a measuring stick of risk prevention/intervention impact.
REFERENCES (22)
1.
Treating Tobacco Use and Dependence. Summary, June 2000. U.S. Public Health Service, [http://www.surgeongeneral.gov/...].
2.
Robinson MD, Laurent SL, Little JM: Including smoking status as a new vital sign: it works!. Journal of Family Practice. 1995, 40 (6): 556-561.
3.
Ahluwalia JS, Gibson CA, Kenney RE, Wallace DD, Resnicow K: Smoking Status as a Vital Sign. Journal of General Internal Medicine. 1999, 14 (7): 402-408. 10.1046/j.1525-1497.1999.09078.x.
4.
Bentz CJ, Davis N, Bayley B: The feasibility of paper-based Tracking Codes and electronic medical record systems to monitor tobacco-use assessment and intervention in an Individual Practice Association (IPA) Model health maintenance organization (HMO). Nicotine & Tobacco Research. 2002, 4 (Suppl 1): 9-17. 10.1080/14622200210128036.
5.
Bates DW, Cohen M, Leape LL, Overhage JM, Shabot MM, Sheridan T: Reducing the frequency of errors in medicine using information technology. Journal of the American Medical Informatics Association. 2001, 8 (4): 299-308.
6.
Wang SJ, Middleton B, Prosser LA, Bardon CG, Spurr CD, Carchidi PJ, Kittler AF, Goldszer RC, Fairchild DG, Sussman AJ, Kuperman GJ, Bates DW: A cost-benefit analysis of electronic medical records in primary care. American Journal of Medicine. 2003, 114 (5): 397-403. 10.1016/S0002-9343(03)00057-3.
7.
Fiore MC, Jorenby DE, Schensky AE, Smith SS, Bauer RR, Baker TB: Smoking status as the new vital sign: effect on assessment and intervention in patients who smoke. Mayo Clinic Proceedings. 1995, 70 (3): 209-213. 10.4065/70.3.209.
8.
Norman LA, Hardin PA, Lester E, Stinton S, Vincent EC: Computer-assisted quality improvement in an ambulatory care setting: a follow-up report. Joint Commission Journal on Quality Improvement. 1995, 21 (3): 116-131.
9.
Lawthers AG: Validity review of performance measures. International Journal for Quality in Health Care. 1996, 8 (3): 299-306. 10.1093/intqhc/8.3.299.
10.
Hippisley-Cox J, Pringle M, Cater R, Wynn A, Hammersley V, Coupland C, Hapgood R, Horsfield P, Teasdale S, Johnson C: The electronic patient record in primary care – regression or progression? A cross sectional study. British Medical Journal. 2003, 327 (7413): 2003-483.
11.
Briggs B: Electronic medical records: a "work-flow" in progress. Health Data Management. 2002, 10 (6): 64-9.
12.
Thorndike AN, Rigotti NA, Stafford RS, Singer DE: National patterns in the treatment of smokers by physicians. Journal of the American Medical Association. 1998, 279 (8): 604-608. 10.1001/jama.279.8.604.
13.
Centers for Disease Control and Prevention (CDC): Behavioral Risk Factor Surveillance System Survey Data. 2000, Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention.
14.
Hecht SS: Tobacco carcinogens, their biomarkers and tobacco-induced cancer. Nature Reviews. Cancer. 2003, 3 (10): 733-744.
15.
McAfee T, Grossman R, Dacey S, McClure J: Capturing tobacco status using an automated billing system: steps toward a tobacco registry. Nicotine & Tobacco Research. 2002, 4 (Suppl 1): S31-7. 10.1080/14622200210128009.
16.
Ornstein SM, Jenkins RG, MacFarlane L, Glaser A, Snyder K, Gundrum T: Electronic medical records as tools for quality improvement in ambulatory practice: theory and a case study. Topics in Health Information Management. 1998, 19 (2): 35-43.
17.
Cooley KA, Frame PS, Eberly SW: After the grant runs out. Long-term provider health maintenance compliance using a computer-based tracking system. Archives of Family Medicine. 1999, 8 (1): 13-17. 10.1001/archfami.8.1.13.
18.
Piper ME, Fiore MC, Smith SS, Jorenby DE, Wilson JR, Zehner ME, Baker TB: Use of the vital sign stamp as a systematic screening tool to promote smoking cessation. Mayo Clinic Proceedings. 2003, 78 (6): 716-722. 10.4065/78.6.716.
19.
Steinberg MB, Delnevo CD, Hrywna M: Update in New Jersey tobacco-dependence treatment. New Jersey Medicine. 2002, 99 (11): 21-26.
20.
Foulds J, Burke M, Richardson D, Kazimir E: Tobacco dependence treatment services in New Jersey. New Jersey Medicine. 2002, 99 (3): 23-28.
21.
Lindsay EA, Ockene JK, Hymowitz N, Giffen C, Berger L, Pomrehn P: Physicians and smoking cessation. A survey of office procedures and practices in the Community Intervention Trial for Smoking Cessation. Archives of Family Medicine. 1994, 3 (4): 341-348. 10.1001/archfami.3.4.341.
22.
Hosler AS, Godley K, Rowland DH: An initiative to improve diabetes care standards in healthcare organizations serving minorities. Diabetes Educator. 2002, 28 (4): 581-589. 10.1177/014572170202800412.
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