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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