Linked Life Data

9274370

Source:http://linkedlifedata.com/resource/pubmed/id/9274370

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1997-9-4
pubmed:abstractText
The purpose of this descriptive study was to identify the components of decision-making among the dialysis patients. Subjects were a Convenience sample of hemodialysis patients who agreed to participate this study. The data was collected through semi-structured interviews was recorded on the tape and transcribed. Decision-making episodes were picked and interpreted by researchers. Data was analysed based on the Grounded Theory Approach. RESULT: Subject were 21 patients from 4 hospitals. The mean age was 51.1 and the mean duration after the hemodialysis was 9.1 years. The number of episode of decision-making were 136. Six components of decision-making were extracted such as <goal> <recognition of situation> <recognition of self> <choice> <planning> <evaluation>. The subject were making decision by examining and judging the situation and oneself, and then setting the goal. They were selecting situation and themselves. After all, the outcomes of decision-making were evaluating. Seven type of decision-making, erection type, reality-oriented type, elaborate type, dogmatic type, passive type, chance type, resistant type were extracted. DISCUSSION: The factors which were related to the quality of decision-making were discussed such as the ability to examine the reality and control own wishes and needs, and the commitment for the decision-making. The nursing approach to facilitate the patients to make the decision were mentioned.
pubmed:language
jpn
pubmed:journal
pubmed:citationSubset
N
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0287-5330
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
22-31
pubmed:dateRevised
2010-3-24
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
[Components of decision-making among hemodialysis patients].
pubmed:affiliation
Kochi Women's University.
pubmed:publicationType
Journal Article, English Abstract