2014
DOI: 10.1016/j.cct.2014.03.007
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Assessment of Life's Simple 7™ in the primary care setting: The Stroke Prevention in Healthcare Delivery EnviRonmEnts (SPHERE) study

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Cited by 26 publications
(40 citation statements)
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“…The LS7 components and scoring system provide an adaptable tool for CBPR researchers to objectively measure and track cardiovascular health among underserved populations. This metric’s “simple” infrastructure and interpretability further facilitates dissemination of study findings to key stakeholders including community partners and policymakers [58]. This is especially important in communicating cardiac risk to at-risk populations who may lack the perception of their actual risk as demonstrated with our group.…”
Section: Discussionmentioning
confidence: 99%
“…The LS7 components and scoring system provide an adaptable tool for CBPR researchers to objectively measure and track cardiovascular health among underserved populations. This metric’s “simple” infrastructure and interpretability further facilitates dissemination of study findings to key stakeholders including community partners and policymakers [58]. This is especially important in communicating cardiac risk to at-risk populations who may lack the perception of their actual risk as demonstrated with our group.…”
Section: Discussionmentioning
confidence: 99%
“…These data would then be available in the EHR for providers as part of the SPHERE application. 32 Once these lifestyle data are available via PHR, CT-level characteristics can be correlated with dietary factors (e.g. expenditure on fruit and vegetables correlated to cups of fruits and vegetables consumed).…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, we developed a novel methodology for integrating cancer registry data, spatial cluster analysis, and map creation using SAS statistical software. This same automated technique 58 could be applied to the data explored here and combined with our SPHERE visualization platform 59,60 to present these data – embedded in the EHR – at the point of care. While the data described in this paper represents an exploratory analysis, the information architecture and automation we developed would enable us to scale it and continue to explore these integrated data sets to find meaningful trends.…”
Section: Discussionmentioning
confidence: 99%
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