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A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Submitted:
05 February 2024
Posted:
06 February 2024
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Number of African Countries | Total Number | |||||
---|---|---|---|---|---|---|
Year of Campaign Recorded |
Best (3) National Campaign with ≥7 CTS (Plus TV/Radio) |
Better (2) National Campaign with ≤7 CTS (No TV/Radio) |
Good (1) National Campaign with ≤4 CTS |
Not Good (0) No National Campaign ≥ 3 Weeks |
Not Good (0) No Data Reported |
|
2010 | 7 | 6 | 2 | 35 | 4 | 54 |
2012 | 8 | 2 | 1 | 37 | 6 | 54 |
2014 | 5 | 8 | 1 | 33 | 7 | 54 |
2016 | 5 | 4 | 0 | 29 | 16 | 54 |
2018 | 3 | 10 | 3 | 34 | 4 | 54 |
2020 | 9 | 7 | 2 | 35 | 1 | 54 |
Average | 7 | 6 | 9 | 33 | 6 |
Author/Year | Setting | Area/Type Of Health Communication Addressed | Aim of Study | Study design/Method |
Population (Age/N Size) |
Involvement of Young People in Intervention Design |
Perl et al., (2015) | Senegal, Nigeria and Kenya | Mass Media Campaigns Mass media 5 Radio and 5 TV antismoking advertisements |
Adapt available anti-tobacco television and radio advertisements from high-income countries for African countries | Mixed Methods Study | 1078 Male and Female adult smokers and Non smokers 18 – 40 years |
Not Involved in Design Other Tobacco control stakeholders involved in adaptation before study |
Mansour et al., (2023) | Tunisia |
Media HWLs |
Improve and adapt a set of 16 pictorial Water pipe specific health warning labels (HWLs) created in an international Delphi study, to the Tunisian context |
Mixed Methods Study | 63 young adults 18-43 years | Not Involved in Design |
Mostafa et al., (2018) | Egypt |
Media HWLs |
Investigate whether PHWs on Water pipe tobacco products lead to behavior change |
Quantitative Study | 2014 waterpipe smokers and non-smokers aged 18 years or older | Not Involved in Design |
Oyapero et al., (2021) | Lagos, Nigeria | N/A Anti-tobacco Messages (ATM) |
Assess the association between exposure to Anti-Tobacco Messaging (ATM) and quit attempts among adolescents and young adults in Lagos, Nigeria |
Quantitative Study | 947 participants 15–35 years | N/A |
Singh et al., (2014) | Kumasi, Ghana | Media Text and Pictorial Health Warnings |
Examine how Ghanaian smokers and nonsmokers view warning labels (text and pictures) on cigarette packs and to investigate their opinions regarding the implementation of pictorial warnings in Ghana | Qualitative Study | (85) 50 smokers and 35 nonsmokers aged 15 years and older | Not Involved in Design |
Odukoya et al., (2020) | Nigeria | Professional Medical Communications Text Messaging |
Improve text messaging as an intervention among physicians to help them foster tobacco treatment (cessation) among their patients. Focal patients at least 12 years |
Quantitative Study | (N =946) Respondents =165) In 3 tertiary care hospitals Age of Medical personnel not mentioned |
N/A |
Karletsos et al., (2021) | Ghana |
Mass Media & New Media, & Interpersonal communication Social Media & Mass media (Blogs, magazines), Group meetings & Events (SKY Girls Campaign) |
Investigate how well anti-smoking messages, delivered through both mass media and social media, can help change how adolescents in urban Ghana think about the dangers of smoking, in a more positive direction |
Quantitative Study | First wave (7054) 3775 adolescent girls and 3279 adolescent boys aged 13–16 years in urban areas of Accra. Second wave 5069 participants | Not Involved in Design Minimally Involved in implementation |
Borzekowski & Cohen (2014) | Brazil, China, India, Nigeria, Pakistan, and Russia | Media Text/Image Health Warning Labels (HWLs) |
Investigate the awareness and understanding of health warning labels among 5 and 6 year old children in six countries |
Quantitative Survey | 2423 5 - 6 Year old |
Not Involved in Design |
Achia (2015) | Burkina Faso, Ethiopia, Liberia, Lesotho, Malawi, Swaziland, Uganda, Zambia and Zimbabwe | Mass Media Campaigns Television, Radio, newspapers or magazines |
Study the relationship between self-reported tobacco use and frequency of mass media utilization in nine LMICs in Sub Saharan Africa |
Quantitative Cross sectional design using Secondary Data Analysis from DHS | 159,462 Women aged 15–49 years (n = 101,316) & Men aged 15–59 years (n = 58,146) |
N/A |
Wakefield et al., (2015) | From 10 LMICs - Bangladesh, China, Egypt, India, Indonesia, Mexico, Philippines, Russia, Turkey & Vietnam |
Mass Media Five television advertisements |
Examine the comprehension, acceptability, and how effective 5 television advertisements could be in conveying anti-smoking message and encouraging adults in low- and middle-income countries to quit smoking. |
Mixed method study | 2399 smokers aged 18 - 34 years | Not Involved in Design |
Bekalu et al., (2022) | Ethiopia | Mass Media Television, radio, billboards, posters, newspapers, magazines, movies |
Examine if tobacco risk perceptions varied across socioeconomic and urban vs. rural population subgroups, and whether and how exposure to anti-smoking message was associated with disparities in risk perceptions across socioeconomic and urban-rural subgroups | Quantitative Cross sectional survey using secondary data analysis from GATS Ethiopia 2016 | 10,150 Male/Female 15 years and above |
N/A |
Azagba et al., (2015) | Mauritius | Mass media Campaign (sponge) Television Advertisements |
Examine the combined effect of increase in cigarette excise tax and anti-tobacco mass media campaign (sponge) on smoking behaviour. | Quantitative – Longitudinal Study International Tobacco Control Mauritius Survey, 2009 – 2011 using Secondary longitudinal data analysis |
725 Respondents Adults Smokers and Non-Smokers (aged ≥18 years) |
N/A |
Owusu et al., (2017) | 14 LMICs including Nigeria and Egypt (2009-2012) |
Mass Media Newspapers or magazines, television, radio, and billboards |
Evaluated factors associated with three stages of intention to quit tobacco smoking among adults in 14 LMICs by using the transtheoretical model (TTM) of health behavior change (precontemplation, contemplation, and preparation) | Quantitative Cross Sectional Secondary data analysis of Publicly available GATS data from 14 LMICs from 2009 to 2012 |
43,540 current tobacco smokers aged 15 years and above |
N/A |
Adebiyi et al., (2016) | Igbo-Ora, Nigeria | Media Graphic Health Warnings |
To examine if the use of graphic health warnings can be effective in preventing smoking initiation among young people in Nigeria | Quantitative Cross-sectional study | (554) students aged 13–17years | Not Involved in Design |
Hutchinson et al., (2020) | Ghana | Mass Media Magazine, movies, a radio program, social media and other promotional activities. |
Impact evaluation of SKY Girls, a youth-focused smoking-prevention and empowerment campaign targeting girls in Ghana | Quasi-experimental matched design | 2625 13-16 year old girls | N/A |
Mostafa et al., (2021) | Egypt | Media Waterpipe Warning Labels (WTP WL) |
Measure the perceived efficacy of existing against novel enhanced (generic and waterpipe-specific) WTP WLs and the associated factors among Egyptian waterpipe smokers and nonsmokers. |
Quantitative Design | 2014 Male and female waterpipe smokers and nonsmokers ≥18 years | Not Involved in Design |
Uchendu et al., (2018) | Nigeria | Constituency relations |
To examine retailer awareness of tobacco control laws and willingness to be involved in control activities. | Quantitative - Cross sectional | 218 participants >30 ≥50 years |
N/A |
Khalbous & Bouslama (2012) | Tunis, Tunisia | Media Visual (Paper) Advertisements |
To understand the relationship between smoking socialization and the effectiveness of anti-tobacco advertisements | Quantitative – Panel Surveys | 351 students 12 -16 years |
Not Involved in Design |
Siziya et al., (2008) | Somaliland | Mass Media Television, radio, billboards, posters, newspapers, magazines, movies |
To estimate the prevalence of cigarette smoking, and determine associations of antismoking messages with smoking status | Quantitative Cross sectional survey using secondary data analysis from GYTS Somaliland 2004 | 1563 students 13 – 15 years |
N/A |
Odukoya et al., (2014) | Lagos, Nigeria | Mass Media Health talks, information leaflets and posters |
To assess the effect of a short school-based anti-smoking program on the knowledge, attitude and practice of cigarette smoking among students in secondary schools in Lagos State | Quantitative – Non-randomized, controlled intervention | 1031 students 10 – 21 years |
Not Involved in Design Information leaflets and posters designed & Introduced by researcher |
Country | World Bank Income Group | Number of Campaigns Recorded (2010 – 2020) |
Best (3) National Campaign with ≥7 CTS (Plus TV/Radio) |
Better (2) National Campaign with ≤7 CTS (No TV/Radio) |
Good (1) National Campaign with ≤4 CTS |
Not Good (0) No National Campaign ≥ 3 Weeks |
Not Good (0) No Data Reported |
Overall Review Score |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2014 (0) 2012 (0) 2010 (0) |
2020 (0) 2018 (0) 2016 (0) |
0 |
|
Low & Middle Income | 6 | 2020 (3) | 0 | 0 | 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
2018 (0) |
3 |
|
Low & Middle Income | 6 | 0 | 2014 (2) 2012 (2) |
0 | 2020 (0) 2018 (0) 2010 (0) |
2016 (0) | 4 |
|
Low & Middle Income | 6 | 0 | 2020 (2) 2010 (2) |
2018 (1) | 2016 (0) 2014 (0) |
2012 (0) | 5 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 0 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2014 (0) 2012 (0) 2010 (0) |
2016 (0) |
0 |
|
Low & Middle Income | 6 | 2016 (3) 2014 (3) |
0 | 0 | 2020 (0) 2012 (0) 2010 (0) |
2018 (0) |
6 |
|
Low & Middle Income | 6 | 2020 (3) | 2018 (2) | 0 | 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 5 |
|
Low & Middle Income | 6 | 0 | 2014 (2) | 0 | 2020 (0) 2018 (0) 2010 (0) |
2016 (0) 2012 (0) |
2 |
|
Low & Middle Income | 6 | 0 | 2018 (2) | 0 | 2020 (0) 2014 (0) 2012 (0) 2010 (0) |
2016 (0) | 2 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) 2010 (0) |
2012 (0) |
0 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 0 |
|
Low & Middle Income | 6 | 0 |
2020 (2) 2018 (2) 2016 (2) 2014 (2) |
2010 (1) | 2012 (0) | 0 | 9 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2012 (0) |
2010 (0) 2014 (0) |
0 |
|
Low & Middle Income | 6 | 0 | 2014 (2) | 0 | 2020 (0) 2018 (0) 2012 (0) 2010 (0) |
2016 (0) |
2 |
|
Low & Middle Income | 6 |
2012 (3) 2010 (3) |
0 | 2020 (1) | 2018 (0) 2016 (0) 2014 (0) |
0 | 7 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2014 (0) 2012 (0) 2010 (0) |
2018 (0) 2016 (0) |
0 |
|
Low & Middle Income | 6 | 0 | 2010 (2) | 0 | 2020 (0) 2018 (0) 2014 (0) 2012 (0) |
2016 (0) | 2 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2012 (0) 2010 (0) |
2016 (0) 2014 (0) |
0 |
|
Low & Middle Income | 6 | 2020 (3) |
2018 (2) 2016 (2) |
2012 (1) | 2014 (0) 2010 (0) |
0 | 8 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) 2012 (0) |
2010 (0) | 0 |
|
Low & Middle Income | 6 | 0 | 2020 (2) 2018 (2) 2014 (2) |
0 | 2016 (0) 2012 (0) 2010 (0) |
0 | 6 |
|
Low & Middle Income | 6 |
2020 (3) 2014 (3) 2012 (3) |
2018 (2) | 0 | 2016 (0) 2010 (0) |
0 | 9 |
|
Low & Middle Income | 6 | 0 | 2010 (2) | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) 2012 (0) |
0 | 2 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2012 (0) 2010 (0) |
2014 (0) |
0 |
|
Low & Middle Income | 6 | 2016 (3) | 0 | 0 | 2020 (0) 2018 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 3 |
|
Low & Middle Income | 6 | 0 | 2018 (2) | 0 | 2020 (0) 2014 (0) 2012 (0) 2010 (0) |
2016 (0) |
2 |
|
Low & Middle Income | 6 | 2012 (3) | 2020 (2) | 0 | 2018 (0) 2014 (0) 2010 (0) |
2016 (0) |
5 |
|
Low & Middle Income | 6 | 2014 (3) | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2012 (0) 2010 (0) |
0 | 3 |
|
Low & Middle Income | 6 | 2012 (3) 2010 (3) |
0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) |
0 | 6 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2014 (0) 2012 (0) 2010 (0) |
2016 (0) |
0 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 0 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 0) 2014 (0) 2012 (0) |
2016 (0) 2010 (0) |
0 |
|
Low & Middle Income | 6 |
2016 (3) 2012 (3) |
2014 (2) | 0 | 2020 (0) 2018 (0) 2010 (0) |
0 | 8 |
|
Low & Middle Income | 6 |
2020 (3) 2016 (3) 2010 (3) |
2018 (2) | 0 | 2014 (0) 2012 (0) |
0 | 11 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 0 |
|
Low & Middle Income | 6 | 2020 (3) | 2018 (2) | 0 | 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 5 |
|
Low & Middle Income | 6 | 2010 (3) | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) |
2012 (0) | 3 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2012 (0) 2010 (0) |
2016 (0) 2014 (0) |
0 |
|
Low & Middle Income | 6 |
2020 (3) 2010 (3) |
2012 (2) | 2018 (1) | 2016 (0) 2014 (0) |
0 | 9 |
|
Low & Middle Income | 6 | 2012 (3) | 0 | 0 | 2020 (0) 2018 (0) 2010 (0) |
2016 (0) 2014 (0) |
3 |
|
Low & Middle Income | 6 | 2018 (3) 2014 (3) |
0 | 0 | 2020 (0) 2016 (0) 2012 (0) 2010 (0) |
0 | 6 |
|
High Income | 6 |
2018 (3) 2016 (3) 2012 (3) |
2020 (2) | 2010 (1) | 2014 (0) | 0 | 12 |
|
Low & Middle Income | 6 | 0 | 2016 (2) | 0 | 2020 (0) 2018 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 2 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2012 (0) |
2014 (0) 2010 (0) |
0 |
|
Low & Middle Income | 6 | 0 | 2020 (2) | 0 | 2018 (0) 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 2 |
|
Low & Middle Income | 6 | 0 | 2010 (2) | 0 | 2020 (0) 2018 (0) 2016 (0) |
2014 (0) 2012 (0) |
2 |
|
Low & Middle Income | 6 | 0 | 2014 (2) 2010 (2) |
0 | 2020 (0) 2018 (0) 2016 (0) 2012 (0) |
0 | 4 |
|
Low & Middle Income | 6 |
2020 (3) 2018 (3) 2010 (3) |
2014 (2) | 0 | 2016 (0) 2012 (0) |
0 | 11 |
|
Low & Middle Income | 6 |
2020 (3) 2014 (3) 2012 (3) |
2016 (2) 2010 (2) |
2018 (1) | 0 | 0 | 14 |
|
Low & Middle Income | 6 | 0 | 2020 (2) 2018 (2) |
2014 (1) | 2016 (0) 2012 (0) 2010 (0) |
0 | 5 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2014 (0) 2010 (0) |
2016 (0) 2012 (0) |
0 |
|
Low & Middle Income | 6 | 2010 (3) | 0 | 2020 (1) | 2018 (0) 2016 (0) 2014 (0) 2012 (0) |
0 | 4 |
|
Low & Middle Income | 6 | 0 | 0 | 0 | 2020 (0) 2018 (0) 2016 (0) 2014 (0) 2012 (0) 2010 (0) |
0 | 0 |
Number of countries (parties) that reported implementing Article 12 | Year of WHO FCTC Report | Average % Implementation Rate of Article 12 | % of Parties Focused on Health Risk of Tobacco Consumption | % of Parties Targeting Children | Stakeholders Involved in implementation of Programmes | African Country Mentioned in Year of Report |
114 | 2010 | Not mentioned | 80 | Not given (4 out of 5) |
Public agencies and nongovernmental organizations not affiliated with the tobacco industry |
None |
115 | 2012 | 70 | 100 | 98 | Public agencies and nongovernmental organizations, private organizations, religious and faith-based organizations; academic and higher education institutions; community and scientific groups, and professional colleges; as well as international organizations and bodies (Page 34) |
Ghana Training of Healthcare Professionals by the Ministry of Health (Pg 33) Djibouti Unavailable resources for impactful campaigns (Pg 35) |
125 | 2014 | 70 | 100 | 99 | Public agencies and NGOs, private organizations, religious and faith-based organizations; academic, higher education institutions and hospitals; community and scientific groups, and professional colleges; municipalities; the media; and international organizations, including WHO. (Page 35) |
Senegal Launch of first ever anti-tobacco media campaign called “Sponge” (Pg 34) |
119 | 2016 | 90 | 100 | 99 | Public agencies, and non-governmental organizations involved in development and implementation of intersectoral programmes and strategies for tobacco control. Private organizations, academic, higher educational institutions; community and scientific groups; professional colleges; municipalities; the media; and international organizations, including WHO (Pg35/36) |
Seychelles launch or culmination of national programme planned to align with World No Tobacco Day (Pg 34) |
162 | 2018 | 99 | 99 | 99 | Public agencies, NGOs involved in the development and implementation of intersectoral programmes and strategies for tobacco control. Academic and higher education institutions; community and scientific groups; hospitals and research institutes; professional colleges; police and military; the media; and international organizations, including WHO. (Pg 40/41) |
Chad New Campaign on Oral cancer (Pg 37) Training young peer educators in smoking prevention (Pg 40) Nigeria Launched campaign called “#ClearTheAir” to support new smoke-free legislation (Pg 39) Malta Training of local administrators and police officers after smoking ban in cars when minors are present (Pg 40) Either established comprehensive national tobacco control communications strategy/action plan or in the process of developing one (Pg 41) |
166 | 2021 | 92 | 99 | 96 | Public agencies, NGOs, Academic and higher education institutions, community and scientific groups, professional colleges, police and the military, the media, and international organizations including WHO were involved in the development and implementation of intersectoral programmes and strategies for tobacco control (Pg 52) |
Senegal Continued or further developed previously established campaigns/activities (Pg 47) World No Tobacco Day (WNTD) Campaign (Pg 47) Mauritius Continued or further developed previously established campaigns/activities (Pg 47) |
This table shows WHO FCTC parties between 2010 and 2021 with extracted items for Article 12. |
WHO GHO Category |
5 = National Campaign with ≥7 CTS (Plus TV/Radio) |
4 = National Campaign with ≤7 CTS (No TV/Radio) |
3 = National Campaign with ≤4 CTS |
2 = No National Campaign ≥ 3 Weeks |
1 = No Data Reported |
CTS = Characteristics The characteristics (CTS) of a high-quality campaign as enumerated by the WHO include:
|
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