Literature DB >> 19012845

Tobacco-use prevalence in special populations taking advantage of electronic medical records.

Leif I Solberg1, Thom J Flottemesch, Steven S Foldes, Beth A Molitor, Patricia F Walker, A Lauren Crain.   

Abstract

BACKGROUND: It is difficult and expensive to use surveys to obtain the repeatable information that is needed to understand and monitor tobacco prevalence rates and to evaluate cessation interventions among various subgroups of the population. Therefore, the electronic medical record database of a large medical group in Minnesota was used to demonstrate the potential value of that approach to accomplish those goals.
METHODS: The relevant variables for all medical group patients aged 18 and over were extracted from the record from a 1-year period. Rates of smoking prevalence were computed for the entire population as well as for those with various characteristics and combinations of characteristics of interest to tobacco-cessation advocates. These prevalence rates were also adjusted to control for the other characteristics in the analysis.
RESULTS: From March 2006 to February 2007, there were 183,982 unique patients with at least one office visit with a clinician, and a record of their tobacco-use status (90%). Overall, 19.7% with recorded status were tobacco users during this year, as were 24.2% of those aged 18-24 years, 16.0% of pregnant women, 34.3% of those on Medicaid, 40.0% of American Indians, 9.5% of Asians, and 8.5% of those whose preferred language was other than English. Combining characteristics allowed greater understanding of those differences.
CONCLUSIONS: Although there are limitations in these data, the level of detail available for this large population and the ease of repeat analysis should greatly facilitate targeted interventions and evaluation of the impact.

Entities:  

Mesh:

Year:  2008        PMID: 19012845     DOI: 10.1016/j.amepre.2008.08.033

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  11 in total

1.  Evaluating the Use of Electronic Health Records for Type 2 Diabetes Surveillance in 2 California Counties, 2010-2014.

Authors:  Maxwell J Richardson; Stephen K Van Den Eeden; Eric Roberts; Assiamira Ferrara; Susan Paulukonis; Paul English
Journal:  Public Health Rep       Date:  2017-06-06       Impact factor: 2.792

Review 2.  Evaluation of primary/preferred language data collection.

Authors:  Linh M Duong; Simple D Singh; Natasha Buchanan; Joan L Phillips; Ken Gerlach
Journal:  J Registry Manag       Date:  2012

3.  Using the emergency department to investigate smoking in young adults.

Authors:  Stephen P Kantrow; Sarah E Jolley; Eboni G Price-Haywood; Xinnan Wang; Tung-Sung Tseng; Dodie Arnold; Lisanne F Brown; Claudia Leonardi; Richard A Scribner; Edward J Trapido; Hui-Yi Lin
Journal:  Ann Epidemiol       Date:  2018-11-24       Impact factor: 3.797

4.  Assessing Trends in Tobacco Cessation in Diverse Patient Populations.

Authors:  Victor J Stevens; Leif I Solberg; Steffani R Bailey; Stephen E Kurtz; Mary Ann McBurnie; Elisa L Priest; Jon E Puro; Rebecca J Williams; Stephen P Fortmann; Brian L Hazlehurst
Journal:  Nicotine Tob Res       Date:  2015-04-28       Impact factor: 4.244

5.  Reliability of Reported Maternal Smoking: Comparing the Birth Certificate to Maternal Worksheets and Prenatal and Hospital Medical Records, New York City and Vermont, 2009.

Authors:  Renata E Howland; Candace Mulready-Ward; Ann M Madsen; Judith Sackoff; Michael Nyland-Funke; Jennifer M Bombard; Van T Tong
Journal:  Matern Child Health J       Date:  2015-09

6.  Role of individual-housing-based socioeconomic status measure in relation to smoking status among late adolescents with asthma.

Authors:  Chung-Il Wi; Joshua Gauger; Maria Bachman; Jennifer Rand-Weaver; Elizabeth Krusemark; Euijung Ryu; Katherine S King; Slavica K Katusic; Young J Juhn
Journal:  Ann Epidemiol       Date:  2016-05-11       Impact factor: 3.797

7.  Applications of electronic health information in public health: uses, opportunities & barriers.

Authors:  Alan Tomines; Heather Readhead; Adam Readhead; Steven Teutsch
Journal:  EGEMS (Wash DC)       Date:  2013-10-28

8.  Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.

Authors:  Ellen L Palmer; John Higgins; Saeed Hassanpour; James Sargent; Christina M Robinson; Jennifer A Doherty; Tracy Onega
Journal:  BMC Med Inform Decis Mak       Date:  2019-07-25       Impact factor: 2.796

9.  Use of practice-based research network data to measure neighborhood smoking prevalence.

Authors:  Jeffrey A Linder; Nancy A Rigotti; Phyllis Brawarsky; Emily Z Kontos; Elyse R Park; Elissa V Klinger; Lucas Marinacci; Wenjun Li; Jennifer S Haas
Journal:  Prev Chronic Dis       Date:  2013-05-23       Impact factor: 2.830

10.  An Evaluation of SmokeFree for Kansas Kids: An Intervention to Promote Tobacco Cessation in Pediatric Clinics.

Authors:  Thanuja Neerukonda; Taneisha S Scheuermann; Stephen J Lauer; Melissa Hudelson; Edward F Ellerbeck
Journal:  Kans J Med       Date:  2017-02-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.