Linked Life Data

17603980

Source:http://linkedlifedata.com/resource/pubmed/id/17603980

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2007-7-2
pubmed:abstractText
Cycler-based dialysis is the most common form of peritoneal dialysis in the United States of America, accounting for more than two thirds of patients on the modality. The advent of modern cyclers has enhanced the accessibility of therapy-delivery data. Cyclers have transformed peritoneal dialysis from an unobserved home therapy into an observable home therapy on many levels. We will discuss 3 of these levels herein. The ability to profile prescription behavior at a population level with attention to fill volume, number of cycles used per night, and total time on the cycler will be analyzed. Insights into the dynamics of flow during cycler therapy and the concept of transition point will then be explored. Finally, we will review the impact on patient care of making the delivery of the dialysis prescription easily observable to the medical team. It is our contention that these 3 levels of profiling offer practical lessons to enhance delivery of care for patients on cycler-based peritoneal dialysis.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1548-5609
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
263-8
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Improving cycler prescriptions in peritoneal dialysis through informatic profiling.
pubmed:affiliation
Renal Division, Baxter Healthcare Corporation, McGaw Park, IL, USA. salim.mujais@gmail.com <salim.mujais@gmail.com>
pubmed:publicationType
Journal Article, Review