Source:http://linkedlifedata.com/resource/pubmed/id/21372641
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2 Suppl
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| pubmed:dateCreated |
2011-3-4
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| pubmed:abstractText |
Patient falls and fall-related injuries are serious problems in hospitals. The Fall TIPS application aims to prevent patient falls by translating routine nursing fall risk assessment into a decision support intervention that communicates fall risk status and creates a tailored evidence-based plan of care that is accessible to the care team, patients, and family members. In our design and implementation of the Fall TIPS toolkit, we used the Spiral Software Development Life Cycle model. Three output tools available to be generated from the toolkit are bed poster, plan of care, and patient education handout. A preliminary design of the application was based on initial requirements defined by project leaders and informed by focus groups with end users. Preliminary design partially simulated the paper version of the Morse Fall Scale currently used in hospitals involved in the research study. Strengths and weaknesses of the first prototype were identified by heuristic evaluation. Usability testing was performed at sites where research study is implemented. Suggestions mentioned by end users participating in usability studies were either directly incorporated into the toolkit and output tools, were slightly modified, or will be addressed during training. The next step is implementation of the fall prevention toolkit on the pilot testing units.
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| pubmed:commentsCorrections | |
| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:status |
PubMed-not-MEDLINE
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| pubmed:month |
Feb
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| pubmed:issn |
1538-9774
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| pubmed:author | |
| pubmed:issnType |
Electronic
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| pubmed:volume |
29
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
TC21-8
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| pubmed:year |
2011
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| pubmed:articleTitle |
Tailored prevention of inpatient falls: development and usability testing of the fall TIPS toolkit.
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| pubmed:affiliation |
Clinical Informatics Research and Development, Partners HealthCare, Boston, MA 02129, USA. lzuyev@partners.org
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| pubmed:publicationType |
Journal Article
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