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Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3670642/ https://www.ncbi.nlm.nih.gov/pubmed/23701721 http://dx.doi.org/10.5888/pcd10.120132 |
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author | Linder, Jeffrey A. Rigotti, Nancy A. Brawarsky, Phyllis Kontos, Emily Z. Park, Elyse R. Klinger, Elissa V. Marinacci, Lucas Li, Wenjun Haas, Jennifer S. |
author_facet | Linder, Jeffrey A. Rigotti, Nancy A. Brawarsky, Phyllis Kontos, Emily Z. Park, Elyse R. Klinger, Elissa V. Marinacci, Lucas Li, Wenjun Haas, Jennifer S. |
author_sort | Linder, Jeffrey A. |
collection | PubMed |
description | 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. 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. |
format | Online Article Text |
id | pubmed-3670642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-36706422013-06-07 Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence Linder, Jeffrey A. Rigotti, Nancy A. Brawarsky, Phyllis Kontos, Emily Z. Park, Elyse R. Klinger, Elissa V. Marinacci, Lucas Li, Wenjun Haas, Jennifer S. Prev Chronic Dis Original Research 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. 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. Centers for Disease Control and Prevention 2013-05-23 /pmc/articles/PMC3670642/ /pubmed/23701721 http://dx.doi.org/10.5888/pcd10.120132 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Original Research Linder, Jeffrey A. Rigotti, Nancy A. Brawarsky, Phyllis Kontos, Emily Z. Park, Elyse R. Klinger, Elissa V. Marinacci, Lucas Li, Wenjun Haas, Jennifer S. Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence |
title | Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence |
title_full | Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence |
title_fullStr | Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence |
title_full_unstemmed | Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence |
title_short | Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence |
title_sort | use of practice-based research network data to measure neighborhood smoking prevalence |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3670642/ https://www.ncbi.nlm.nih.gov/pubmed/23701721 http://dx.doi.org/10.5888/pcd10.120132 |
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