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Table 3 Quality assessment for included studies

From: Maternal health service utilisation of adolescent women in sub-Saharan Africa: a systematic scoping review

Component Item Quality criteria description Banke-Thomas, 2016 Magadi, 2007 Brabin, 1998 Magadi, 2002 Reynolds, 2006 Ebeigbe, 2007 Magadi, 2007 Elhassan, 2009 Chaibva, l,2009 Alemayhue, 2010 Birungi, 2011
Objectives 1 State specific objectives, including any pre-specified hypotheses 2 2 2 2 2 1 2 2 2 2 2
Methods
 Study design 2 Present key elements of study design early in the paper 2 2 1 1 2 1 2 1 2 1 1
 Setting 3 Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection 2 1 2 2 2 2 1 2 2 2 2
 Participants 4 Give the eligibility criteria, and the sources and methods of selection of participants 2 1 1 2 2 1 2 1 2 2 2
 Variables 5 Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. 2 2 2   1 1 2 1   1 1
 Data sources/ measurement 6 For each variable of interest, give sources of data and details of methods of assessment (measurement). 2 2 1 1 2   2   2 1 1
 Bias 7 Describe any efforts to address potential sources of bias 2 1 1   1   1   1 1 1
 Study size 8 Explain how the study size was arrived at 1   1 2 2    1 1 1 1
 Quantitative variables 9 Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why 2 2 2 1 2 1 2 1 2 2 2
 Statistical methods 10 Describe all statistical methods, including those used to control for confounding 2 2 2   2 1 2 1 1 1 1
  11 Explain how missing data were addressed 1 1 1 1 1 1 1 1    1
Results
 Participants 12 Report numbers of participants and study and response rate 2 1 1   2 1 1 1 2 1 1
 Descriptive data 13 Give characteristics of study participants (eg demographic, clinical, social) and information on exposures and potential confounders 2 1 2 1 2 2 2 2 1 2 2
 Main results 14 Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their precision (eg, 95% confidence interval). Make clear which confounders were adjusted for and why they were included 2 2 1   2 1 2   1 1 1
Discussion
 Key Results 15 Summarise key results with reference to study objectives 2 2 2   2 2 2 1 1 2 1
 Limitations 16 Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias 2 1 1   2 1 1   2 1 2
 Interpretation 17 Give a cautious overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence 2 1 1 1 2 1 2 2 1 2 2
   Quality score 32 26 24 16 31 17 27 17 23 23 24
   % Quality score 94 77 70 47 91 50 79 50 67 67 70
Component item Quality criteria description Ochako, 2011 Gross, 2012 Rai, 2012 Rai l, 2013 Singh, 2006 Rai, 2014 Worku, 2016 Banke-Thomas.2017 Helleringer, 2017 Musarandega, 2017 Ronen, 2017
Objectives 1 State specific objectives, including any pre-specified hypotheses 2 2 2 2 2 2 2 2 2 1 1
Methods
 Study design 2 Present key elements of study design early in the paper 2 1 2 1 1 1 1 1 2 2 2
 Setting 3 Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection 2 2 2 2 1 1 2 2 1 1 2
 Participants 4 Give the eligibility criteria, and the sources and methods of selection of participants 1 2 2 1 2 1 2 2 2 2 2
 Variables 5 Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. 1 1 2 2 2 2 1 2 1 2 1
 Data sources/ measurement 6 For each variable of interest, give sources of data and details of methods of assessment (measurement). 2 1 1 2 1 2 1 2 1 2 1
 Bias 7 Describe any efforts to address potential sources of bias 1   1 1 1 1 2 2 1   1
 Study size 8 Explain how the study size was arrived at 2 1 2 2 1 2 1 1 2 2 1
 Quantitative variables 9 Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why 1   2 1 2 2 1 2 1 2 1
 Statistical methods 10 Describe all statistical methods, including those used to control for confounding 1 1 1 1 1 2 1 2 1 1 1
  11 Explain how missing data were addressed 1   1   1       
Results
 Participants 12 Report numbers of participants and study and response rate 2 2 1 1 2 1 1 1 1 1 1
 Descriptive data 13 Give characteristics of study participants (eg demographic, clinical, social) and information on exposures and potential confounders 2 1 2 2 2 2 2 2 1 2 1
 Main results 14 Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their precision (eg, 95% confidence interval). Make clear which confounders were adjusted for and why they were included 1   1 1 1 1 1 2 1 1 1
Discussion
 Key results 15 Summarise key results with reference to study objectives 2 2 2 2 2 1 2 2 2 2 1
 Limitations 16 Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias 1 1   1 1 1 2 1 1 1 1
 Interpretation 17 Give a cautious overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence 1 2 2 2 1 2 2 2 1 1 1
   Quality score 25 19 26 24 24 24 27 29 21 23 19
   % Quality score 73 55 76 70 70 70 79 85 61 67 55