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阻塞性气道疾病患者吸烟状况的空间趋势分析凸显了针对性戒烟干预措施的潜力。

Analysis of Spatial Trends in Smoking Status Among Patients with Obstructive Airway Diseases Highlight Potential for Targeted Smoking Cessation Interventions.

作者信息

Xie Sherrie, Hubbard Rebecca A, Himes Blanca E

机构信息

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

AMIA Annu Symp Proc. 2020 Mar 4;2019:1256-1265. eCollection 2019.

PMID:32308923
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7153095/
Abstract

Because chronic obstructive airway diseases like asthma, chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap (ACO) increase individual susceptibility to the harmful effects of cigarettes, smoking cessation programs could strengthen their public health impact by targeting smokers with these conditions. We performed spatial analyses on data derived from the Electronic Health Records (EHRs) of 25,119 asthma, 3,323 COPD, and 3,620 ACO patients and a community-based health survey of 18,740 residents to identify regions in the Greater Philadelphia Area with a high density of current smokers among patients with obstructive airway diseases and the general population. We identified areas in North and West Philadelphia with high prevalence of current smokers across all patient groups and community members that should be prioritized in smoking cessation initiatives. Neighborhood deprivation, which was linked to patient data using residential geocodes, was associated with greater smoking prevalence in these regions.

摘要

由于哮喘、慢性阻塞性肺疾病(COPD)和哮喘-COPD重叠综合征(ACO)等慢性阻塞性气道疾病会增加个体对香烟有害影响的易感性,戒烟项目可以通过针对患有这些疾病的吸烟者来增强其对公共卫生的影响。我们对来自25119名哮喘患者、3323名COPD患者和3620名ACO患者的电子健康记录(EHR)数据以及对18740名居民进行的社区健康调查数据进行了空间分析,以确定大费城地区阻塞性气道疾病患者和普通人群中当前吸烟者密度较高的区域。我们确定了费城北部和西部的区域,在所有患者群体和社区成员中,当前吸烟者的患病率较高,这些区域应在戒烟倡议中优先考虑。通过使用住宅地理编码与患者数据相关联的邻里贫困状况,与这些地区较高的吸烟患病率相关。

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本文引用的文献

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2
Factors associated with exacerbations among adults with asthma according to electronic health record data.根据电子健康记录数据,成年哮喘患者病情加重的相关因素。
Asthma Res Pract. 2019 Jan 18;5:1. doi: 10.1186/s40733-019-0048-y. eCollection 2019.
3
Making Neighborhood-Disadvantage Metrics Accessible - The Neighborhood Atlas.让邻里劣势指标易于获取——邻里地图集。
N Engl J Med. 2018 Jun 28;378(26):2456-2458. doi: 10.1056/NEJMp1802313.
4
Area Deprivation Index Predicts Readmission Risk at an Urban Teaching Hospital.区域剥夺指数可预测城市教学医院的再入院风险。
Am J Med Qual. 2018 Sep/Oct;33(5):493-501. doi: 10.1177/1062860617753063. Epub 2018 Jan 22.
5
Enhancing Electronic Health Record Data with Geospatial Information.利用地理空间信息增强电子健康记录数据
AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:123-132. eCollection 2017.
6
American Thoracic Society/National Heart, Lung, and Blood Institute Asthma-Chronic Obstructive Pulmonary Disease Overlap Workshop Report.美国胸科学会/美国国立心肺血液研究所哮喘-慢性阻塞性肺疾病重叠综合征研讨会报告
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The management of asthmatic smokers.哮喘吸烟者的管理
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