HOLY ANIGEL UNI\TERSITY GRADUATE SCHOOL OF NT.JRSING
First Trimester School Year 2012 - 2013
Sleepiness and Occupational Accidents among Hospital Nurses
,r**frR.IECr
Presented to the Graduate School
Holy
AngelUniversity
In
PartialFulfillment
of the Requirements for the Degree Master of Science
in
NursingMaior
inAdult
HealthNuning
Byt
IVIAY AT.INE C.
MAYRINA
HOT.Y
ANGNL UJ\TVIRSITY
Sleepiness and Occupational Accidents Among Hospital Ntrrses
MayAnne C. Mayrina
Abstract
This stiidy aims to look at the oceurrertce of sleepines irnd occupatioiiril accidents among hospital nurses and
if the
age groupsof
nursessignificandy
differ in
termsof
encessive daytime sleepiness, sleepduration and subjective sleep zufficieney. The stttdy employed cross- sectional using self-administered questionnaires. Mann-Whitney U Test was used
to
analyze the association of age groups of nurses and excessive daytime sleepiness, sleep dr:ration and subjective sleep sufficiency. Multiple logistic regression analysis was used to analyzethe association of occupational errors to several factors. The results revealed that the two age groups do not come from different groups and no statistical significant difference was detected. S/ork shift was
strongly associated
with
drug administration errors among hospital nurses and seento
havethe
strongest associationto
equipmentoperation
errors.
Needlestick
injuriesare
saonglylinked
to experiencing EDS. The study has showntlat
sleepiness and mistakes encounteredby
nursesin
their professional callof
duty has been associatedwith
each other as well as their shifting worL schedules.Rendering competent nursing care is paramount
in
the line of wsrk among nurses.It
is what can be considered health care delivery at its finest. However, there are factors that hinder them in providing health care. Sleepiness has been associatedin the
commissionof
drugadministration errors, equipment operation errors and needle stick injuries. The same way work shift has affected performance of hospital nurses as the analysis has showu.
Keywords: sleepiness, occupational accidents, excessive daytime sleepiness