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Table 2 The influence of "EHR software package" and "province" on the variation between morbidity estimates of LINH general practices #

From: Do practice characteristics explain differences in morbidity estimates between electronic health record based general practice registration networks?

Health problem

MOR (95% CI)

Population characteristics (age, gender, SES, ethnicity and degree of urbanisation

-

EHR software package

Province

Incidence

Urinary tract infection

-

 

-

 

-

Gastro-intestinal infection

-

 

-

 

-

Neck and back problems

1.24 (1.17-1.35)

 

-

 

-

Eczema

1.27 (1.20-1.40)

 

-

 

-

Asthma

1.74 (1.52-2.11)

 

-

 

-

COPD

-

 

-

 

-

Osteoarthritis

-

 

-

 

-

Diabetes Mellitus

1.88 (1.60-2.37)

 

-

 

-

CHD

2.03 (1.68-2.65)

 

-

1.86 (1.57-2.40)

Zeeland1

Stroke

1.49 (1.30-1.82)

 

-

 

-

Depression

1.47 (1.33-1.69)

 

-

 

-

Anxiety

1.60 (1.43-1.87)

1.51 (1.36-1.76)

Promedico1

 

-

Prevalence

Neck and back problems

1.33 (1.28-1.40)

1.29 (1.25-1.36)

Medicom1

 

-

Eczema

1.52 (1.44-1.66)

1.50 (1.42-1.63)

Microhis1

 

-

1.46 (1.39-1.58)

Medicom1

1.50 (1.42-1.66)

Mira1

Asthma

1.59 (1.50-1.75)

1.57 (1.48-1.71)

Microhis1

 

-

1.56 (1.47-1.71)

Medicom1

COPD

1.64 (1.49-1.75)

 

-

 

-

Osteoarthritis

1.50 (1.38-1.59)

1.47 (1.36-1.56)

Medicom1

 

-

Diabetes Mellitus

1.38 (1.30-1.48)

 

-

1.36 (1.28-1.45)

Gelderland1

CHD

2.03 (1.77-2.23)

 

-

 

-

 

-

Stroke

1.80 (1.60-1.97)

 

-

1.75 (1.56-1.91)

Groningen1

Depression

1.61 (1.51-1.77)

1.58 (1.48-1.73)

Medicom1

1.56 (1.43-1.72)

Groningen1

Anxiety

1.71 (1.59-1.90)

1.62 (1.52-1.78)

Microhis1

1.67 (1.56-1.85)

Groningen1

1.65 (1.54-1.82)

Medicom1

  
  1. #This table only present the practice characteristics that significantly influenced morbidity estimation on 10.05 level. Note: All variations (in MOR) between general practices are significant in all diseases.