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Table 5 Summary of statistical findings for letter content features against GP gradings

From: What makes a “successful” or “unsuccessful” discharge letter? Hospital clinician and General Practitioner assessments of the quality of discharge letters

Content feature (independent variable)

Present in successful letters

Present in unsuccessful letters

Test

Df.*

n

χ2 value

Effect size -phi coefficient

P value

Discharging physician (name & role)

86.8%

79.4%

χ2

1

375

2.984

−.097

0.084

Reason for admission

99.1%

86.5%

χ2

1

375

24.176

−.266

< 0.001

Diagnosis

97.4%

74.5%

χ2

1

375

44.386

−.353

< 0.001

Tests/procedures performed

97.0%

74.5%

χ2

1

375

41.841

−.343

< 0.001

Investigation results

96.2%

77.3%

χ2

1

375

30.194

−.293

< 0.001

Medication names

84.6%

78.7%

χ2

1

375

1.719

−.075

0.190

Medication dose & frequency

84.2%

78.7%

χ2

1

375

1.437

−.069

0.231

Medication changes

61.5%

48.9%

χ2

1

375

5.193

−.123

0.023

Reasons for changes

32.1%

18.4%

χ2

1

375

7.606

−.149

0.006

Hospital plan/actions

70.5%

50.4%

χ2

1

375

14.475

−.202

< 0.001

Patient concerns/wishes

8.1%

8.5%

χ2

1

375

.000

.007

1.000

Information to patient

38.5%

24.8%

χ2

1

375

6.764

−.140

0.009

GP plan & actions

69.7%

53.2%

χ2

1

375

9.591

−.166

0.002

Acronyms (unexplained)

78.2%

86.5%

χ2

1

375

3.482

.103

0.062

Medical jargon (unexplained)

71.8%

84.4%

χ2

1

375

7.095

.144

0.008

  1. *Df. degrees of freedom