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Table 1 Descriptive statistics of study period, context, and methodology of included studies

From: Interventions to increase uptake of cervical screening in sub-Saharan Africa: a scoping review using the integrated behavioral model

Study characteristic Total (n = 19)
N (%)
Year of publication
 Before 2014 4 (21.1%)
 2014–2016 6 (31.6%)
 2017–2019 9 (47.4%)
Study design
 Randomized/cluster-randomized 9 (47.4%)
 Quasi-experimental 5 (26.3%)
 Before-and-after 4 (21.1%)
 Other non-randomized 1 (5.3%)
Country (n = 21)
 Nigeria 9 (42.9%)
 South Africa 5 (23.8%)
 Kenya 3 (14.3%)
 Tanzania 1 (4.8%)
 Uganda 1 (4.8%)
 Mozambique 1 (4.8%)
 Zambia 1 (4.8%)
Urban/rural setting
 Urban/semi-urban only 6 (31.6%)
 Rural only 4 (21.1%)
 Both urban and rural 1 (5.3%)
 No information 8 (42.1%)
Sample size
  < 250 2 (10.5%)
 250–499 4 (21.1%)
 500–749 4 (21.1%)
 750–1000 3 (15.8%)
  > 1000 6 (31.6%)
Screening method
 Pap smear/cytology-based 6 (31.6%)
 Visual inspection 3 (15.8%)
 HPV DNA testing 1 (5.3%)
 Multiple methods 4 (21.1%)
 No information 5 (26.3%)
Minimum eligible screening age, in years
  < 18 1 (5.3%)
 18–24 5 (26.3%)
 25–29 3 (15.8%)
 30–34 4 (21.1%)
 35+ 1 (5.3%)
 No information 5 (26.3%)
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