Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/59088
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dc.contributor.authorKulwadee Abhicharttibutraen_US
dc.contributor.authorOrn Anong Wichaikhumen_US
dc.contributor.authorWipada Kunaviktikulen_US
dc.contributor.authorApiradee Nantsupawaten_US
dc.contributor.authorRaymoul Nantsupawaten_US
dc.date.accessioned2018-09-05T04:37:48Z-
dc.date.available2018-09-05T04:37:48Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn14422018en_US
dc.identifier.issn14410745en_US
dc.identifier.other2-s2.0-85044773342en_US
dc.identifier.other10.1111/nhs.12420en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044773342&origin=inwarden_US
dc.identifier.urihttp://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.subjectNursingen_US
dc.titleOccupancy rate and adverse patient outcomes in general hospitals in Thailand: A predictive studyen_US
dc.typeJournalen_US
article.title.sourcetitleNursing and Health Sciencesen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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