17515779

Source:http://linkedlifedata.com/resource/pubmed/id/17515779

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0521117, umls-concept:C0814098, umls-concept:C0920317, umls-concept:C1321605
pubmed:issue	6
pubmed:dateCreated	2007-5-22
pubmed:abstractText	A large body of empirical data exists on the prediction of patient adherence from subjective and objective assessments of health status and disease severity. This work can be summarized with meta-analysis.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/5R03AG27552-02
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0230027
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jun
pubmed:issn	0025-7079
pubmed:author	pubmed-author:DiMatteoM RobinMR, pubmed-author:HaskardKelly BKB, pubmed-author:WilliamsSummer LSL
pubmed:issnType	Print
pubmed:volume	45
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	521-8
pubmed:dateRevised	2007-12-3
pubmed:meshHeading	pubmed-meshheading:17515779-Attitude to Health, pubmed-meshheading:17515779-Health Status, pubmed-meshheading:17515779-Humans, pubmed-meshheading:17515779-Patient Compliance, pubmed-meshheading:17515779-Physician-Patient Relations, pubmed-meshheading:17515779-Severity of Illness Index
pubmed:year	2007
pubmed:articleTitle	Health beliefs, disease severity, and patient adherence: a meta-analysis.
pubmed:affiliation	Department of Psychology, University of California, Riverside, California 92521, USA. robin@ucr.edu
pubmed:publicationType	Journal Article, Review, Research Support, Non-U.S. Gov't, Meta-Analysis, Research Support, N.I.H., Extramural