Synthèse des problèmes de soins infirmiers: un pas vers la statistique infirmière [A synthesis of patient problems: a first step to the nursing minimum data set].

Details

Serval ID
serval:BIB_74D4CFE8E4F2
Type
Article: article from journal or magazin.
Collection
Publications
Title
Synthèse des problèmes de soins infirmiers: un pas vers la statistique infirmière [A synthesis of patient problems: a first step to the nursing minimum data set].
Journal
Recherche en Soins Infirmiers
Author(s)
Junger A., Falquet G.
ISSN
0297-2964 (Print)
ISSN-L
0297-2964
Publication state
Published
Issued date
2012
Number
108
Pages
81-94
Language
french
Notes
Publication types: English Abstract ; Journal ArticlePublication Status: ppublish
Abstract
In 2012 Switzerland will adopt a system for hospital funding, named SwissDRG, based on the German Diagnosis Related Group model. This method of funding takes little account of nursing as the grouping is based on diagnoses and treatments.
OBJECTIVE: This study conducted at the University Hospital of Lausanne seeks to introduce nursing data in the medical statistic under the form of diagnosis.
METHOD: Based on a web questionnaire, this study interviewed 293 nursing clinical and administrative managers. According to their experience they had to selected 10 problems of care from a list of 30 and sort them depending to their impact on the workload and length of stay.
RESULTS: 95 responses from most of the clinical specialties of the University Hospital of Lausanne. A list of 15 nursing problems has been published. The use of the RIDITs shows a difference between the subgroups determined by sex and length of service.
CONCLUSION: This study showed that the use of web questionnaires is a way that should be continued. It also shows that through the RIDITs it is possible to analyze the differences in responses between groups even if the sample is small. This study must now be extended to the pediatrics and obstetrics.
Keywords
Decision Support Techniques, Female, Humans, Male, Nursing Diagnosis/statistics & numerical data, Nursing Process/statistics & numerical data
Pubmed
Create date
12/09/2012 18:06
Last modification date
20/08/2019 15:32
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