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dc.contributor.authorLinder, Jeffrey A.
dc.contributor.authorRigotti, Nancy A.
dc.contributor.authorBrawarsky, Phyllis
dc.contributor.authorKontos, Emily Z.
dc.contributor.authorPark, Elyse R.
dc.contributor.authorKlinger, Elissa V
dc.contributor.authorMarinacci, Lucas
dc.contributor.authorLi, Wenjun
dc.contributor.authorHaas, Jennifer S.
dc.date2022-08-11T08:10:21.000
dc.date.accessioned2022-08-23T17:05:26Z
dc.date.available2022-08-23T17:05:26Z
dc.date.issued2013-05-23
dc.date.submitted2014-06-03
dc.identifier.citationLinder JA, Rigotti NA, Brawarsky P, Kontos EZ, Park ER, Klinger EV, Marinacci L, Li W, Haas JS. Use of practice-based research network data to measure neighborhood smoking prevalence. Prev Chronic Dis. 2013 May 23;10:E84. doi: 10.5888/pcd10.120132. <a href="http://dx.doi.org/10.5888/pcd10.120132" target="_blank">Link to article on publisher's site</a>
dc.identifier.issn1545-1151 (Electronic)
dc.identifier.doi10.5888/pcd10.120132
dc.identifier.pmid23701721
dc.identifier.urihttp://hdl.handle.net/20.500.14038/44859
dc.description.abstractINTRODUCTION: Practice-Based Research Networks (PBRNs) and health systems may provide timely, reliable data to guide the development and distribution of public health resources to promote healthy behaviors, such as quitting smoking. The objective of this study was to determine if PBRN data could be used to make neighborhood-level estimates of smoking prevalence. METHODS: We estimated the smoking prevalence in 32 greater Boston neighborhoods (population = 877,943 adults) by using the electronic health record data of adults who in 2009 visited one of 26 Partners Primary Care PBRN practices (n = 77,529). We compared PBRN-derived estimates to population-based estimates derived from 1999-2009 Behavioral Risk Factor Surveillance System (BRFSS) data (n = 20,475). RESULTS: The PBRN estimates of neighborhood smoking status ranged from 5% to 22% and averaged 11%. The 2009 neighborhood-level smoking prevalence estimates derived from the BRFSS ranged from 5% to 26% and averaged 13%. The difference in smoking prevalence between the PBRN and the BRFSS averaged -2 percentage points (standard deviation, 3 percentage points). CONCLUSION: Health behavior data collected during routine clinical care by PBRNs and health systems could supplement or be an alternative to using traditional sources of public health data.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=23701721&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://www.cdc.gov/pcd/issues/2013/pdf/12_0132.pdf
dc.rightsThis publication is in the public domain per the publisher policy posted at http://www.cdc.gov/pcd/for_authors/general_information.htm.
dc.subjectAdolescent
dc.subjectAdult
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectBehavioral Risk Factor Surveillance System
dc.subjectBoston
dc.subjectFemale
dc.subjectHealth Services Research
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectPrevalence
dc.subjectResidence Characteristics
dc.subjectSmoking
dc.subjectYoung Adult
dc.subjectBehavioral Disciplines and Activities
dc.subjectBehavior and Behavior Mechanisms
dc.subjectCommunity Health and Preventive Medicine
dc.subjectEpidemiology
dc.subjectHealth Information Technology
dc.subjectHealth Services Administration
dc.subjectPreventive Medicine
dc.titleUse of practice-based research network data to measure neighborhood smoking prevalence
dc.typeJournal Article
dc.source.journaltitlePreventing chronic disease
dc.source.volume10
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1280&amp;context=prevbeh_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/prevbeh_pp/281
dc.identifier.contextkey5647107
refterms.dateFOA2022-08-23T17:05:27Z
html.description.abstract<p>INTRODUCTION: Practice-Based Research Networks (PBRNs) and health systems may provide timely, reliable data to guide the development and distribution of public health resources to promote healthy behaviors, such as quitting smoking. The objective of this study was to determine if PBRN data could be used to make neighborhood-level estimates of smoking prevalence.</p> <p>METHODS: We estimated the smoking prevalence in 32 greater Boston neighborhoods (population = 877,943 adults) by using the electronic health record data of adults who in 2009 visited one of 26 Partners Primary Care PBRN practices (n = 77,529). We compared PBRN-derived estimates to population-based estimates derived from 1999-2009 Behavioral Risk Factor Surveillance System (BRFSS) data (n = 20,475).</p> <p>RESULTS: The PBRN estimates of neighborhood smoking status ranged from 5% to 22% and averaged 11%. The 2009 neighborhood-level smoking prevalence estimates derived from the BRFSS ranged from 5% to 26% and averaged 13%. The difference in smoking prevalence between the PBRN and the BRFSS averaged -2 percentage points (standard deviation, 3 percentage points).</p> <p>CONCLUSION: Health behavior data collected during routine clinical care by PBRNs and health systems could supplement or be an alternative to using traditional sources of public health data.</p>
dc.identifier.submissionpathprevbeh_pp/281
dc.contributor.departmentDepartment of Medicine, Division of Preventive and Behavioral Medicine
dc.source.pagesE84


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