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Table 4 Final logistic regression model of the most important predictors of accepting an offer for a 60-hour stay in hospital following delivery (n = 379)

From: Longer postpartum hospitalization options – who stays, who leaves, what changes?

Predictors Adjusted Odds Ratio a 95% Confidence Interval
Number of unmet identified learning needs while in hospital:   
Less than 2 1.00 -
2 or more 1.98 (1.27, 3.10)
Baby had medical problems since birth b:   
No 1.00 -
Yes 2.82 (1.49, 5.34)
First live birth b:   
No 1.00 -
Yes 1.86 (1.20, 2.89)
Mother feels she and baby are ready to be discharged b:   
Definitely yes 1.00 -
Other response 1.84 (1.19, 2.86)
Final Logistic Regression Model Statistics: Rho-square = 0.10 (a pseudo R2, values between 0.2 and 0.4 suggest a very good fit)
Hosmer and Lemeshow Goodness-of-fit test = 0.36 (values greater than 0.25 indicate good fit) 64.9% correctly classified
  
  1. a Odds ratios for categorical variables represent comparisons with the referent group (OR = 1.00) after adjustment for all other variables in the model.
  2. b Information collected from mother prior to discharge from hospital