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Table 5 Exposure to Intervention

From: Cluster-randomised trial to test the effect of a behaviour change intervention on toilet use in rural India: results and methodological considerations

Item

Control

Intervention

PD, %

95% CI

APD%

95% CI

N

%

N

%

Recently heard about toilets in any of these contexts (in last 6 months)

 Conversation with others

1214

6.7

1278

9.9

3.1

0.6/5.6

2.8

0.3/5.4

 Visits to neighbours

1214

3.1

1278

4.5

1.3

−0.2/2.8

1.2

−0.3/2.8

 WhatsApp message

1214

2.1

1278

3.1

1.0

−0.7/2.7

0.4

−1.1/2.0

 Village meeting

1214

14.3

1278

23.5

9.1

5.1/13.1

8.4

4.3/12.4

 Event in community

1214

13.1

1278

30.0

16.7

11.4/22

16.3

11/21.6

 Posters /stickers

1214

6.9

1278

13.2

6.5

3.6/9.5

6.2

3.2/9.2

 Radio

1214

0.4

1278

0.6

0.1

−0.4/0.7

0.0

−0.1/0.1

 TV

1214

21.9

1278

22.9

1.3

−3.3/5.8

0.0

−0.5/4.4

What did you hear

 One should construct a toilet if a household doesn’t have one

1214

14.4

1278

19.9

5.6

2.0/9.2

5.2

1.6/8.9

 One should improve one’s toilet if it is poor quality

1214

6.7

1278

12.1

5.4

3.1/7.7

5.2

2.8/7.5

 One should use toilet for defecation instead of going out in the open

1214

18.5

1278

25.0

6.3

2.5/10.1

5.8

2.1/9.5

After hearing this did you make changes to your toilet or done anything as a consequence?

 talked with someone

1214

15.0

1278

18.3

3.4

−0.1/7.5

3.1

−1.1/7.3

 made changes to my toilet

1214

8.0

1278

12.8

4.6

1.3/7.8

4.0

0.8/7.2

 saved money for a toilet

1214

3.5

1278

3.6

−0.1

−1.8/1.8

0.2

−1.6/2.0

Heard of any community event that talks about toilet in the past 6 months

1214

18.5

1278

39.1

20.7

15.4/26.0

19.7

14.3/25.1

Attended such an event

1214

8.3

1278

22.3

13.9

10.6/17.1

13.3

9.9/16.7

Promote toilet improvement

1214

6.5

1278

18.3

11.7

8.8/14.6

11.2

8.1/14.2

Commit to improve toilet

1214

22.8

1278

12.3

−12.3

−21.2/−3.5

−12.5

−21.4/−3.5

Heard the phrase ‘5 star toilet’

1214

2.6

1278

13.9

11.3

8.9/13.8

10.9

8.5/13.4

Where did you hear it

 TV

1214

0.7

1278

1.6

0.1

0.0/1.9

0.1

0.0/1.9

 Village meeting

1214

1.2

1278

5.2

3.9

2.6/5.2

0.4

2.4/5.1

 Community event

1214

1.8

1278

10.9

9.1

6.7/11.5

8.8

6.4/11.2

 WhatsApp message

1214

0.3

1278

0.5

0.1

−0.4/0.6

0.1

−0.4/0.1

 Posters/stickers

1214

0.7

1278

4.1

3.4

1.9/5.0

3.2

1.8/4.7

 Virtual Reality film

1214

0.4

1278

0.9

0.5

−0.2/1.3

0.5

−0.3/1.3

 Friend/relative

1214

0.3

1278

0.7

0.4

−0.3/1.1

0.3

−0.4/1.1

Certificate for a 5-star toilet

1214

0.4

1278

4.5

4.0

0.3/5.1

3.8

2.7/4.8

Picture of your family on the village ‘Toilet Board’ poster

1214

0.2

1278

4.8

4.5

3.3/5.7

4.3

3.2/5.5

Skit about toilet convenience

1214

4.9

1278

18.2

13.1

10.0/16.3

12.6

9.4/15.8

Seen small-sized 5-star toilet model

1214

1.9

1278

12.5

10.7

8.2/13.1

10.3

7.8/12.8

Certificate about your toilet, or know anyone who has

1214

1.5

1278

7.4

5.9

4.2/7.6

5.7

3.9/7.5

Seen a certificate give-away

1214

2.0

1278

11.2

9.2

0.7/11.4

9.0

6.7/11.3

Someone talking about or showing a movie about pit filling

1214

2.4

1278

10.1

7.6

5.5/9.7

7.4

5.2/9.7

Movie about using a chair in the toilet for disabled or elderly people

1214

2.9

1278

11.0

8.0

6.0/10.1

7.8

5.6/10.1

Use any of the following

 Facebook

1214

18.2

1278

23.6

5.2

1.3/9.1

2.1

−1.6/5.7

 WhatsApp

1214

24.0

1278

31.2

7.1

3.0/11.2

3.0

−0.6/6.7

 Instagram

1214

6.0

1278

8.7

2.6

0.0/5.2

0.8

−1.5/3.1

 YouTube

1214

19.2

1278

22.1

2.7

−1.4/6.8

−0.8

−4.5/2.9

Ever got or sent a message on WhatsApp about toilets

1214

2.3

1278

2.8

0.6

−0.7/1.9

−0.1

−1.3/1.2

Heard about Swachh Sunder Shauchalay campaign

1214

40.6

1278

45.8

5.3

0.6/10.1

3.7

−0.8/8.2

Swachh Sunder Shauchalay campaign is about

 Paint your toilet walls

1214

7.9

1278

8.8

0.9

−1.5/3.3

0.7

−1.8/3.1

 Decorate your toilets

1214

28.1

1278

32.6

4.5

0.2/8.7

3.4

−0.8/7.6

  1. PD prevalence difference, calculated using linear regression (function: Gaussian, link: identity). Clustering at village level was adjusted for by using generalised estimating equations and robust standard errors. APD adjusted prevalence difference. Pd was adjusted for asset index (continuous variable) and maximum male education level (dichotomised into primary or less vs secondary or higher)