ArticlePreventing chronic disease2013
Use of practice-based research network data to measure neighborhood smoking prevalence.
Article in Preventing chronic disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Accuracy of race, ethnicity, and language preference in an electronic health record.Journal of general internal medicine · 2015Trial
- Proactive tobacco cessation outreach to smokers of low socioeconomic status: a randomized clinical trial.JAMA internal medicine · 2015Trial
- Vulnerability and Colorectal screening during the pandemic.Preventive medicine reports · 2024Article
- The use of electronic health records to inform cancer surveillance efforts: a scoping review and test of indicators for public health surveillance of cancer prevention and control.BMC medical informatics and decision making · 2022Article
- Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms.EGEMS (Washington, DC) · 2017Article
- State and Local Chronic Disease Surveillance Using Electronic Health Record Systems.American journal of public health · 2017Article
- Comparing Prevalence Estimates From Population-Based Surveys to Inform Surveillance Using Electronic Health Records.Preventing chronic disease · 2017Article
- Local spatial clustering in youths' use of tobacco, alcohol, and marijuana in Boston.The American journal of drug and alcohol abuse · 2016Article
- Urban Park Development and Pediatric Obesity Rates: A Quasi-Experiment Using Electronic Health Record Data.International journal of environmental research and public health · 2016Article
- Can Electronic Health Records Be Used for Population Health Surveillance? Validating Population Health Metrics Against Established Survey Data.EGEMS (Washington, DC) · 2016Article
- Comparison of practice based research network based quality improvement technical assistance and evaluation to other ongoing quality improvement efforts for changes in agency culture.BMC health services research · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
introductionPractice-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.
methodsWe 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).
resultsThe 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).
conclusionHealth 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.