The Effect of Nursing Class, Caesarea Sectio Indication, Medicine, Wound
96.9 and with dietary high-calorie high- protein were 62 82.7.
Statistical result test of complications with 0.12 days associated with maternal
hemoglobin concentration and increased LOS related to wound care.
treatment classes obtained p =
0.444; While the cost of the regression line equation
indication p = 0.162; antibiotics p = 0626; nutritional value of p = 0.083; which means
there is no effect between treatment classes, indication, antibiotics and nutrients with the
occurrence of complications. While the wound care obtained p = 0.000, which means there is
significant influence between patient wounds with complications Table 4.10].
Table 4.10. Distribution of Respondents According to the Class Care and Occurrence
hospital = Rp 3.582 million + Rp 170,200.2 antibiotics, which means that we can predict
hospital costs by using variable antibiotics, which is the relationship shown significant
positive relationship hospital costs will rise by Rp. 3.582.000 - with regard to antibiotics used.
More can be seen in Table 4.11.
Table 4.11. Results of Multiple Linear Regression Analysis LOS and Costs
of Complications Constant
Hb Wound
care Antibiotic
LOS 1,45
Days 0,12
1,82
- Hospital cost
Rp 3.582.000,- -
- Rp 170.200,2
From the results of multiple logistic regression analysis, it turns out the variables that
significantly affect the wound healing time was wound care and nutrition. It also looks
interaction between the wound care nutrition with P Value = 0,000. Thus the final model is
the model with interaction. Of the three variables, the variables that most influence on
the LOS is variable nutrient Exp B = 178.89. While the results of the analysis of
mobilization, it turns out the variables that significantly affect only the mobilization of the
Furthermore, multivariate analysis of the dependent variable for the scale of numerical
data LOS and Hospital cost using multiple linear regression analysis to predict the value
of LOS and hospital cost by using independent variables. As for the scale of categorical data
the dichotomous wound healing time, mobilization, and complications using
multiple logistic regression analysis. Terms of independent variables that can be continued in
a multiple linear regression analysis and multiple logistic regression is if the value of p
Value 0.25. LOS on the dependent variable, the regression
line equation obtained LOS = 1.45 + 0.12 Hb + 1.82 wound care, which means that we can
predict LOS using variables Hb and wound care, where the relationship shown is positive
relationship which means the LOS will rise by
523 wound care alone, with Exp B = 7.475.
However found the interaction between patient wound with class of service in their influence
on the mobilization p Value = 0.002. On the results of the analysis of complications,
wound care only significant effect on the incidence of complications. But in these
complications did not reveal any interaction between age, wound care and nutrition in their
influence on complications 0.094, but the wound care among the three most effect on the
incidence of complications Exp B = 161.98. Table 4.12.
Table 4.12. Results of Linear Regression Analysis Logistics Double Wound Healing
Time, Mobilization and Complications.
responses 60. Selection of antibiotic combination is among the most inexpensive
price compared to other types of antibiotics. Wound care nurses do a majority of just 1 time
for treated after surgery as many as 64 respondents 80.8. Because the healing
process epithelialization on day 2-3 then it is not advisable to open the wrapping on that day
so that enough nurses to do it once, for the next patient enough control to poly outpatient.
Diet given to the majority of respondents was 93.8 dietary high-calorie high-protein.
. This diet is best to expedite the healing process in post-cesarea mothers condition,
because in addition to the calories for the recovery of the general health status of the
mother, the protein to aid in cell regeneration