The Influence of Age and Hb

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.