pubmed-article:20453061 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:20453061 | lifeskim:mentions | umls-concept:C0030705 | lld:lifeskim |
pubmed-article:20453061 | lifeskim:mentions | umls-concept:C0016538 | lld:lifeskim |
pubmed-article:20453061 | lifeskim:mentions | umls-concept:C0024117 | lld:lifeskim |
pubmed-article:20453061 | lifeskim:mentions | umls-concept:C0018684 | lld:lifeskim |
pubmed-article:20453061 | lifeskim:mentions | umls-concept:C0557854 | lld:lifeskim |
pubmed-article:20453061 | lifeskim:mentions | umls-concept:C0679622 | lld:lifeskim |
pubmed-article:20453061 | lifeskim:mentions | umls-concept:C0205314 | lld:lifeskim |
pubmed-article:20453061 | lifeskim:mentions | umls-concept:C0348080 | lld:lifeskim |
pubmed-article:20453061 | pubmed:issue | 3 | lld:pubmed |
pubmed-article:20453061 | pubmed:dateCreated | 2010-6-17 | lld:pubmed |
pubmed-article:20453061 | pubmed:abstractText | The UK Meteorological Office (Met Office) has developed a health forecasting service for chronic obstructive pulmonary disease (COPD) patients, combining a rule-based model predicting risk based on environmental conditions with an anticipatory care intervention providing information on self-management and warnings via an interactive telephone call. Our aim was to explore the acceptability and utility of such a service to patients with COPD and its perceived impact on their behaviour and disease management. | lld:pubmed |
pubmed-article:20453061 | pubmed:language | eng | lld:pubmed |
pubmed-article:20453061 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20453061 | pubmed:citationSubset | H | lld:pubmed |
pubmed-article:20453061 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:20453061 | pubmed:month | Jul | lld:pubmed |
pubmed-article:20453061 | pubmed:issn | 1758-1060 | lld:pubmed |
pubmed-article:20453061 | pubmed:author | pubmed-author:ChalderMelani... | lld:pubmed |
pubmed-article:20453061 | pubmed:author | pubmed-author:KayTomT | lld:pubmed |
pubmed-article:20453061 | pubmed:author | pubmed-author:HalpinDavidD | lld:pubmed |
pubmed-article:20453061 | pubmed:author | pubmed-author:MarnoPennyP | lld:pubmed |
pubmed-article:20453061 | pubmed:author | pubmed-author:Laing-MortonT... | lld:pubmed |
pubmed-article:20453061 | pubmed:author | pubmed-author:SachonPatrick... | lld:pubmed |
pubmed-article:20453061 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:20453061 | pubmed:volume | 15 | lld:pubmed |
pubmed-article:20453061 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:20453061 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:20453061 | pubmed:pagination | 150-5 | lld:pubmed |
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pubmed-article:20453061 | pubmed:year | 2010 | lld:pubmed |
pubmed-article:20453061 | pubmed:articleTitle | Can a health forecasting service offer COPD patients a novel way to manage their condition? | lld:pubmed |
pubmed-article:20453061 | pubmed:affiliation | Met Office, Exeter, UK. penny.marno@somerset.nhs.uk | lld:pubmed |
pubmed-article:20453061 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:20453061 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |