Please use this identifier to cite or link to this item:
http://cmuir.cmu.ac.th/jspui/handle/6653943832/59088
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kulwadee Abhicharttibutra | en_US |
dc.contributor.author | Orn Anong Wichaikhum | en_US |
dc.contributor.author | Wipada Kunaviktikul | en_US |
dc.contributor.author | Apiradee Nantsupawat | en_US |
dc.contributor.author | Raymoul Nantsupawat | en_US |
dc.date.accessioned | 2018-09-05T04:37:48Z | - |
dc.date.available | 2018-09-05T04:37:48Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 14422018 | en_US |
dc.identifier.issn | 14410745 | en_US |
dc.identifier.other | 2-s2.0-85044773342 | en_US |
dc.identifier.other | 10.1111/nhs.12420 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044773342&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/59088 | - |
dc.description.abstract | © 2018 John Wiley & Sons Australia, Ltd. Patient outcomes are important indicators of the quality of care. Occupancy rate is one factor that significantly affects adverse patient outcomes. The aim of the present study was to determine factors associated with adverse patient outcomes in Thailand. A retrospective study was conducted with 146 inpatient units from 16 general hospitals. Hospital characteristics and adverse patient outcomes were recorded, and data were analyzed by using frequency, percentage, and binomial logistic regression. The results revealed that the average number of beds per hospital was 430.5 (standard deviation [SD]=108.6), the average number of beds per unit was 27.9 (SD=8.9), and the average occupancy rate was 81.1% (SD=20.6, range=28.8-133.1%). Data were adjusted for hospital size, unit type, and number of beds in each unit; a 1% increase in occupancy rate increased the likelihood of pressure ulcers by 4.3% (P=0.001), of hospital-acquired pneumonia by 2.4% (P=0.032), and of hospital-acquired urinary tract infections by 2.1% (P=0.033). The findings suggest that a higher level of occupancy rates predicted a greater likelihood of adverse patient outcomes. | en_US |
dc.subject | Nursing | en_US |
dc.title | Occupancy rate and adverse patient outcomes in general hospitals in Thailand: A predictive study | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Nursing and Health Sciences | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
Files in This Item:
There are no files associated with this item.
Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.