Study Protocol Registration and Reporting
The based on the Preferred Reporting Items for Systematic review and Meta-analyses(PRISMA) [23], and Meta-analysis of Observational Studies in Epidemiology (PRISMA-P 2015) checklist [24] (Additional file 1) statements to report the findings. The protocol for this review had registered at PROSPERO with registration number: CRD42020165628
PECO search guide
Population
Adolescent girl (10–19years) [25]
Exposure
Predictors or associated factors of poor menstrual hygiene practice. Factors are characteristics or exposures that increase or decrease the likelihood of menstrual hygiene practice among adolescent girls in Sub-Saharan Africa. Those factors include residence, age, maternal educational level, family income, menstrual flow duration, and knowledge on menses.
Comparison
The reported reference group for each associated factor in each study: adolescent girls residing in urban versus rural, from educated mothers versus no education, with good knowledge on menses versus poor knowledge).
Outcome
We will include studies that assess the level of poor menstrual hygiene practice and its associated factors among adolescent girls in Sub-Saharan Africa.
Study design and Searching strategy
This study protocol will use Systematic review and meta-analysis. For the preparation and presentation, preferred Reporting Items for Systematic Reviews and Meta-Analysis will be used online electronic databases PubMed, Google Scholar, CINAHL and grey literature will be used to search articles until April 30, 2021. The searching strategy for the PubMed Online database is added as a supplementary file (Additional file 2). Cross-referencing will also be used to add other studies related to our review. Retrieve studies will be exported to Endnote version 8 reference manager software [26].
Text search terms will be used using Medical Subject Heading (Mesh) keywords searched using PMID. The search strategies will be developed using different Boolean operators. The core search terms and phrases will be (menstruation OR menarche OR menses OR physiology OR psychology OR sexual and reproductive health OR women health OR reproductive health OR hygiene OR practice OR hygiene practice OR menstrual hygiene management OR menstrual hygiene OR menstrual health OR Sanitation OR management) AND (menstrual hygiene product OR feminine hygiene product OR sanitary product OR supply & distribution OR toilet facilities OR standard schools OR school health services OR education OR health education OR risk factors OR prevalence OR quality of life OR adolescent behavior OR standard social desirability OR standard OR school absenteeism OR Scholl attendance OR absenteeism) AND (human OR adolescent OR female OR students OR adolescent girls OR young adults OR school girls OR school female) AND (Sub-Saharan Africa OR low income countries OR Developing countries OR poverty)
Study selection and eligibility criteria
First, duplicate studies will be removed from the Endnote citation manager. Two authors (EW and SB) will independently screen the studies based on inclusion and exclusion criteria. First, relevant articles will be considered based on their title. Secondly, abstracts of the selected titles will be incorporated. Third, the full-text screening will be conducted. In case of articles are not open to access, we will contact the corresponding author. If the authors are not willing to provide full text, the articles will be excluded from the study. Studies that will be approved by both authors in the review processes will be included. During the review of the studies, any disagreement among reviewers will be resolve by discussion and reach a common understanding based on established article selection criteria (Additional file 3). Finally, we will organize a final list of articles for data extraction.
This review will include all observational studies: cross-sectional, analytical cross-sectional, case-control, and cohort studies. Articles published only with the English language, studies done in Sub-Saharan Africa reporting the prevalence of the poor practice of menstrual hygiene and its associated factors among adolescent girls. If a study analyzed knowledge and practice, it will only include if the outcome measures (menstrual hygiene practice) present separately. No restriction will be made to the date of publication. However, citations without abstracts, articles without full text, and data that are difficult to extract will be excluded. Moreover, qualitative studies, adolescent girls whose age group is not well defined, studies published other than the English language, Case reports, conference reports, national survey reports, and expert opinions will be excluded.
Quality assessments
Articles assessment using their title, abstract, and a full review of the manuscripts will be done before the inclusion of articles in the final meta-analysis. A critical appraisal will be performed by two authors (EW and SB) using the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MASt-ARI) [27]. This instrument includes different questions based on the types of study designs. The tools have Yes and No types of questions and scores will be given ‘1’ for Yes and ‘0’ for No responses. Studies 50% and above of the quality scale will be included and considered for systematic review and meta-analysis (Additional file 4 in s1 files). For any scoring disagreements between the authors, the sources of discrepancy will be investigated through revision. If a difference exists, on the detailed review, the average scores will be calculated. Similarly, each associated factor with the outcome variable will be critically evaluated. A similar cut-off point that we will use for the level of prevalence studies will be used to factors associated with menstrual hygiene practice.
Data extraction and management
After identifying all eligible articles, two independent reviewers (EW and SB) will extract the relevant data using an organized format on Microsoft Excel Spreadsheet 2016. Pretesting the data extraction form will be done before the beginning of the actual data extraction. If variations of extracted data exist, the phase will be repeated, and then discrepancies between data extractors will be discussed to reach a consensus. For each included article, we will record the author name, year of publication, the study area, study design, study period, sample size, the response rate, the target population, outcome definition, comparison groups, predictors, and overall level of practice. For the level of practice studies, the level of prevalence, the logarithm of the level of prevalence, and standard error (SE) of the logarithm of the level prevalence will be calculated. Similarly, for associated factors, OR, logarithms of OR, and SE of the logarithms of OR will be calculated. For any difficulties that might be encountered during data extraction, communication will be made with the corresponding author.
Outcome measurement
Good menstrual hygiene management (MHM) practice is described as “women and adolescent girls using a clean menstrual management material to absorb or collect blood that can be modified in privacy as often as necessary for the duration of the menstruation cycle, washing the body as needed using soap and water, and having access to facilities to dispose of used menstrual management materials”[2]. There is a variation in the number of questions to measure menstrual hygiene practice in different studies. Therefore, the menstrual hygienic practices will be evaluated using “Yes” or “No” questions. The response of each item will be scored as “1” for correct answers and “0” for false. The total sum score of 50% and above will be considered as having a good menstrual hygiene practice [28, 29].
Data synthesis and analysis
The extract data will be imported into STATA version 14software. A narrative description of the study population will be done, and tables and figures will be used to summarize the results.
A random-effect model will be used to estimate the overall pooled prevalence of menstrual hygiene practice among adolescent girls in Sub-Saharan Africa [30]. The Freeman Tuckey variant of the arcsine square root transformation of proportions will be used to avoid variance variability when controlling proportions close to one[31, 32]. We will assess heterogeneity by using the chi-squared test on Cochran’s Q statistic with a 5% level of statistical significance [33] and I2 statistic test [34]. Assuming I2 values of 25%, 50%, and 75% is representative of low, moderate, and high heterogeneity respectively. If the heterogeneity is significant (I2 > 75%), and p-value < 0.05 will be declared as the presence of heterogeneity. Hence, subgroup analyses and meta-regression will be performed to investigate sources of heterogeneity.
Sensitivity analysis will be done to see the effect of a particular study on the overall estimation. Besides, the time-trend analysis will be conducted to check whether variations through time are observed [33]. Publication bias will be examined by the visual inspection of funnel plots [35] and Egger’s test [36]. A p-value < 0.10 will be considered indicative of statistically significant publication bias. If evidence of publication bias present, the trim-and-fill (Duval and Tweedie’s) method will be performed [37]. The existence of an association between the factors and menstrual hygiene practice will be estimated based on the effect size. Then, the statistical significance level will be declared at a p-value of less than 0.05.