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Table 2 Characteristics of hospital separation records with and without a nursing-sensitive outcome (NSO) during 10 years (1999–2009)

From: Evaluation of paediatric nursing-sensitive outcomes in an Australian population using linked administrative hospital data

 

Separations without any NSO

Separations with any NSO

pvaluea

(n = 127800)

(n = 1919)

 
 

n

%

n

%

 

Age group

    

< .001

  1-28 days (neonate)

5568

4.4

82

4.3

 

  > 28 days-1 year (infant)

21601

16.9

513

26.7

 

  > 1-3 years (toddler)

23422

18.3

402

21.0

 

  > 3-6 years (pre-school)

14620

11.4

166

8.7

 

  > 6-13 years (school age)

41487

32.5

501

26.1

 

  > 13- ≤ 18 years (adolescent)

21102

16.5

255

13.3

 

Sex

    

.037

  Male

72792

57.0

1139

59.4

 

  Female

55008

43.0

780

40.7

 

Socioeconomic index (IRSD)b

    

< .001

  Least disadvantaged

76584

61.1

1031

56.5

 

  Most disadvantaged

46793

37.9

794

43.5

 

Residence (ARIA+)c

    

< .001

  Major city

100147

81.2

1365

74.8

 

  Regional or remote

23189

18.8

460

25.2

 

Admission type

    

.006

  Emergency

101229

78.2

1470

76.6

 

  Elective

26571

20.8

449

23.4

 

Case mix

    

< .001

  Non-surgical

106841

83.6

1286

67.0

 

  Surgical

20959

16.4

633

33.0

 

Major Diagnostic Categoryc

    

< .001

  Respiratory

21216

16.6

125

6.5

 

  Gastrointestinal

16256

12.7

337

17.6

 

  Musculoskeletal

15358

12.0

204

10.6

 

  Ear, nose, throat & mouth

13207

10.3

119

6.2

 

  Neurological

10054

7.9

217

11.3

 

Season

    

< .001

  Autumn

31122

24.4

444

23.1

 

  Winter

34278

26.8

575

30.0

 

  Spring

33955

26.6

526

27.4

 

  Summer

28445

22.3

374

19.5

 
 

Mean (SD)

 

Mean (SD)

  

Length of stay (LOS)

4.09 (10.62)

 

11.34 (23.48)

 

< .001

Ward movements

0.26 (0.64)

 

0.67 (1.20)

 

.002

  1. Note: Test statistic is Pearson Chi-square for categorical data and t-statistic for continuous data.
  2. a Two sided significance reported.
  3. b Data missing therefore does not equal total.
  4. c Only Major Diagnostic Categories with most cases listed.