Literature DB >> 21571750

Can data from primary care medical records be used to monitor national smoking prevalence?

Lisa Szatkowski1, Sarah Lewis, Ann McNeill, Yue Huang, Tim Coleman.   

Abstract

BACKGROUND: Data from primary care records could potentially provide more comprehensive population-level information on smoking prevalence at lower cost and in a more timely fashion than commissioned national surveys. Therefore, we compared smoking prevalence calculated from a database of primary care electronic medical records with that from a 'gold standard' national survey to determine whether or not medical records can provide accurate population-level data on smoking.
METHODS: For each year from 2000 to 2008, the annual recorded prevalence of current smoking among patients in The Health Improvement Network (THIN) Database was compared with the 'General Household Survey (GHS)-predicted prevalence' of smoking in the THIN population, calculated through indirect standardisation by applying age-, sex- and region-specific smoking rates from the corresponding GHS to the THIN population.
RESULTS: Completeness of smoking data recording in THIN improved steadily in the study period. By 2008, there was good agreement between recorded smoking prevalence in THIN and the GHS-predicted prevalence; the GHS-predicted prevalence of current smoking in the THIN population was 21.8% for men and 20.2% for women, and the recorded prevalence was 22.4% and 18.9%, respectively.
CONCLUSIONS: The prevalence of current smoking recorded within THIN has converged towards that which would be expected if GHS smoking rates are applied to the THIN population. Data from electronic primary care databases such as THIN may provide an alternative means of monitoring national smoking prevalence.

Entities:  

Mesh:

Year:  2011        PMID: 21571750     DOI: 10.1136/jech.2010.120154

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  27 in total

1.  A comparison of patient recall of smoking cessation advice with advice recorded in electronic medical records.

Authors:  Lisa Szatkowski; Ann McNeill; Sarah Lewis; Tim Coleman
Journal:  BMC Public Health       Date:  2011-05-10       Impact factor: 3.295

2.  Association of Depression and Treated Depression With Epilepsy and Seizure Outcomes: A Multicohort Analysis.

Authors:  Colin B Josephson; Mark Lowerison; Isabelle Vallerand; Tolulope T Sajobi; Scott Patten; Nathalie Jette; Samuel Wiebe
Journal:  JAMA Neurol       Date:  2017-05-01       Impact factor: 18.302

3.  Smoking cessation interventions for patients with coronary heart disease and comorbidities: an observational cross-sectional study in primary care.

Authors:  David N Blane; Daniel Mackay; Bruce Guthrie; Stewart W Mercer
Journal:  Br J Gen Pract       Date:  2016-12-05       Impact factor: 5.386

4.  Provision of smoking cessation support in UK primary care: impact of the 2012 QOF revision.

Authors:  Lisa Szatkowski; Paul Aveyard
Journal:  Br J Gen Pract       Date:  2015-12-06       Impact factor: 5.386

5.  Financial Incentives and Inequalities in Smoking Cessation Interventions in Primary Care: Before-and-After Study.

Authors:  Fiona L Hamilton; Anthony A Laverty; Kit Huckvale; Josip Car; Azeem Majeed; Christopher Millett
Journal:  Nicotine Tob Res       Date:  2015-05-19       Impact factor: 4.244

6.  Can primary care data be used to monitor regional smoking prevalence? An analysis of The Health Improvement Network primary care data.

Authors:  Tessa E Langley; Lisa C Szatkowski; Stephen Wythe; Sarah A Lewis
Journal:  BMC Public Health       Date:  2011-10-07       Impact factor: 3.295

7.  What characteristics of primary care and patients are associated with early death in patients with lung cancer in the UK?

Authors:  Emma L O'Dowd; Tricia M McKeever; David R Baldwin; Sadia Anwar; Helen A Powell; Jack E Gibson; Barbara Iyen-Omofoman; Richard B Hubbard
Journal:  Thorax       Date:  2014-10-13       Impact factor: 9.139

8.  A comparison of UK primary care data with other national data sources for monitoring the prevalence of smoking during pregnancy.

Authors:  Nafeesa N Dhalwani; Laila J Tata; Tim Coleman; Linda Fiaschi; Lisa Szatkowski
Journal:  J Public Health (Oxf)       Date:  2014-10-21       Impact factor: 2.341

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.  Feasibility of automated pre-screening for lifestyle and behavioral health risk factors in primary care.

Authors:  Gail L Rose; Tonya A Ferraro; Joan M Skelly; Gary J Badger; Charles D MacLean; Tera L Fazzino; John E Helzer
Journal:  BMC Fam Pract       Date:  2015-10-23       Impact factor: 2.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.