Publication: Nosocomial urinary tract infection: Nursing-sensitive quality indicator in a Thai hospital
dc.contributor.author | Rachanee Sujijantararat | en_US |
dc.contributor.author | Rachel Z. Booth | en_US |
dc.contributor.author | Linda Lindsey Davis | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.contributor.other | University of Alabama at Birmingham | en_US |
dc.date.accessioned | 2018-06-21T08:33:19Z | |
dc.date.available | 2018-06-21T08:33:19Z | |
dc.date.issued | 2005-01-01 | en_US |
dc.description.abstract | The purposes of this study were to examine relationships among 3 of the American Nurses Association's 10 nursing-sensitive quality indicators: nursing hours per patient day, percentage of RNs, and nosocomial urinary tract infection (NUTI), and to identify the best predictor of NUTI in a hospital in Thailand. The results showed a negative relationship between nursing hours per patient day and NUTIs, indicating that with more nursing hours per day, there were fewer NUTI. These findings document the importance of nursing staff in minimizing hospital-acquired urinary tract infection. © 2005 Lippincott Williams & Wilkins, Inc. | en_US |
dc.identifier.citation | Journal of Nursing Care Quality. Vol.20, No.2 (2005), 134-139 | en_US |
dc.identifier.doi | 10.1097/00001786-200504000-00008 | en_US |
dc.identifier.issn | 10573631 | en_US |
dc.identifier.other | 2-s2.0-17144431252 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/17154 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=17144431252&origin=inward | en_US |
dc.subject | Nursing | en_US |
dc.title | Nosocomial urinary tract infection: Nursing-sensitive quality indicator in a Thai hospital | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=17144431252&origin=inward | en_US |