Evidence map›Paper›PMID 37341996›Full record

ArticleHealth promotion international2023

Intervention design in public health: adaptive messaging in the Tanzanian National Sanitation Campaign.

Alexandra Czerniewska, Kaposo Mwambuli, Val Curtis, Robert Aunger

Abstract read
In one paragraph

Article in Health promotion international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alexandra CzerniewskaDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, UK.
Kaposo MwambuliProject CLEAR, Ltd., Dar es Salaam, Tanzania.
Val CurtisDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, UK.
Robert AungerDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-8136-9376

Funding

Ministry of HealthTanzanian governmentUK Government's Foreign Commonwealth and Development Organisation
6 · The paper itself

Abstract

Few case studies exist in the public health or design literatures showing how to create national scale messaging campaigns in low-income countries using design processes. In this paper, we describe how we used Behaviour Centred Design to develop Nyumba ni choo, the Tanzanian National Sanitation Campaign. The process involved multiple iterations of ideation and filtration by professional creatives, government staff, academics and sanitation specialists to create a branded mass communication campaign, which was refreshed annually. The campaign was based on the insight that Tanzania is modernizing rapidly, with people upgrading their homes, but leaving their outside toilets in a 'traditional' state. Built around the 'big idea' that a household is not fully modern without a good-quality, modern toilet, the campaign employed reality TV shows, live engagements and mass and digital media postings, all targeted at motivating both the government and general population to improve toilets. The campaign has made toilets a topic of national conversation and has led to a major uptick in the rate of toilet building. Efforts to improve public health-related behaviour can be enhanced by using systematic approaches that build on available evidence, understand behaviour in its common settings, employ psychological theory and engage creative expertise.

Indexed as

Public HealthSanitationHumansInternetTanzaniaToilet FacilitiesBehaviour Centred Designdesign for behaviour changeintervention developmentmass communicationpublic health

Identifiers

PMID37341996
PMCPMC10284042

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.