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Table 4 Results of the field validation without the category ‘doctor’

From: Using data from online geocoding services for the assessment of environmental obesogenic factors: a feasibility study

Area

Geocoding service

True positives: N (% positive)a

False positives: N (% positive)

False negatives: N

Sensitivityb: %

A

Google Maps

18 (62.07)

11 (37.93)

13

58.06

A

OpenStreetMap

15 (88.24)

2 (11.76)

16

48.39

B

Google Maps

29 (90.63)

3 (9.38)

1

96.67

B

OpenStreetMap

10 (100)

0 (0)

20

33.33

C

Google Maps

48 (69.57)

21 (30.43)

30

61.54

C

OpenStreetMap

36 (85.71)

6 (14.29)

42

46.15

D

Google Maps

19 (67.86)

9 (32.14)

6

76.00

D

OpenStreetMap

21 (80.77)

5 (19.23)

4

84.00

  1. Area A: sparsely populated municipality in the south-west of Bavaria
  2. Area B: area in a medium-sized populated major district town near Munich
  3. Area C: area close to the centre within the densely populated city of Munich
  4. Area D: area with a lower density of amenities within the densely populated city of Munich
  5. aThe percentage of true positives is the positive predictive value (PPV) [PPV = true positives/(true positives + false positives)]
  6. bSensitivity = true positives/(true positives + false negatives)