20297741

Source:http://linkedlifedata.com/resource/pubmed/id/20297741

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C1442792
pubmed:issue	2
pubmed:dateCreated	2010-3-19
pubmed:abstractText	We predicted the amount of health outcome improvement any state might achieve if it could reach the highest level of key health determinants any individual state has already achieved.
pubmed:commentsCorrections	http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-11380160, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-11884968, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-11900188, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-11931581, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-16943404, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-17329654, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-17690129, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-17971389, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-18460667, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-18525043, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-18634679, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-20297742, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-2126895, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-2232042, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-7639884, http://linkedlifedata.com/resource/pubmed/commentcorrection/20297741-9624022
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9716844
pubmed:citationSubset	AIM
pubmed:status	MEDLINE
pubmed:issn	0033-3549
pubmed:author	pubmed-author:BooskeBridgetB, pubmed-author:KindigDavidD, pubmed-author:PeppardPaulP
pubmed:issnType	Print
pubmed:volume	125
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	160-7
pubmed:dateRevised	2011-7-26
pubmed:meshHeading	pubmed-meshheading:20297741-Causality, pubmed-meshheading:20297741-Female, pubmed-meshheading:20297741-Health Behavior, pubmed-meshheading:20297741-Health Promotion, pubmed-meshheading:20297741-Health Services Needs and Demand, pubmed-meshheading:20297741-Health Status Disparities, pubmed-meshheading:20297741-Health Status Indicators, pubmed-meshheading:20297741-Healthcare Disparities, pubmed-meshheading:20297741-Humans, pubmed-meshheading:20297741-Linear Models, pubmed-meshheading:20297741-Male, pubmed-meshheading:20297741-Mortality, pubmed-meshheading:20297741-New Hampshire, pubmed-meshheading:20297741-Outcome Assessment (Health Care), pubmed-meshheading:20297741-Population Surveillance, pubmed-meshheading:20297741-Predictive Value of Tests, pubmed-meshheading:20297741-Risk Reduction Behavior, pubmed-meshheading:20297741-Socioeconomic Factors, pubmed-meshheading:20297741-United States, pubmed-meshheading:20297741-West Virginia
pubmed:articleTitle	How healthy could a state be?
pubmed:affiliation	Population Health Institute, Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison 53726, USA. dakindig@wisc.edu
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't