This scoping review will constitute the first part of a large-scale study to investigate the Quality of Life in AD in children in Ethiopia. The scoping review method will allow us to systematically map literature and describe existing research relating to AD in children in SSA. Aside from this, it will enable us to identify literature gaps, and inform subsequent systematic review and primary study questions on AD in children. The scoping review will follow the steps outlined by Arksey and O’Malley(16) and Levac et. al. (17) that included the following;
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Identifying the research question
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Identifying relevant studies
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Study selection
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Charting the data
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Collating, summarizing, and reporting on the data.
Identifying the research question
The main research question that this scoping review will address is: What research evidence exists on children (age 0 to 15 years) with atopic dermatitis and their quality of life within the last twenty years in SSA?
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What research evidence exists on the QoL in children with AD?
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What research evidence is available on the associated/contributory factors that impact on QoL of children with AD?
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What instruments or assessment tools are available for assessing the QoL of children with AD?
Eligibility criteria
Table 1 presents this review’s eligibility criteria as part of the Population, Concept, Context (PCC) framework defining the review question.
Table 1: The PCC framework
Criteria
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Include
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Exclude
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Population
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Children (aged from 0 to 15 years) with AD
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Adolescents older than 15 years.
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Concepts
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QoL (Sleep disturbance, itching, mood change, emotional distress, Irritability, poor self-esteem), associated or contributory factors, and QoL assessment tools/instruments
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QoL of children living with HIV/AIDS, nutritional conditions, and chronic and acute illness that has no relations to AD
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Context
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Sub-Saharan Africa (Countries within the World Health Organisation Africa Region).
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Study design
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Primary studies, systematic reviews, and QoL assessment tools
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Abstracts without full text, Editorials, Expert opinions/reviews
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Time frame
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Within twenty years (from 2000 to 2021)
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Publications language
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English
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Identifying relevant evidence sources
Searches will be conducted on PubMed, EBSCOhost (Academic search complete, CINAHL with full text, PsycINFO, and Health Sources), Scopus, and Google Scholar from 2000 to 2021 for relevant published evidence sources to answer the review question. The search will employ keywords, Boolean terms ("AND" and "OR"), and medical subject headings to develop a comprehensive search strategy (Table 1). The syntax will be modified where needed. The team will also use the services of an experienced subject librarian to ensure that a robust review search strategy is followed. Limitations on study design and language will be removed during the search. The search records will be documented appropriately. That is search date, database, keywords, search results, and count of eligible articles. To guide the electronic search strategy, the PRESS (Peer Review of Electronic Search Strategies) statement will be used. The reference list of the included sources of evidence, and the WHO website will also be consulted for evidence relating to QoL of children with AD in SSA. To compile all relevant evidence sources, identify and remove duplicate records, we will use the EndNote X9 reference manager. AGK will search for the evidence sources assisted by the review team and import them onto an EndNote library created for this review.
Table 2: Pilot search to be conducted
Keywords searched
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Date of search
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Electronic database
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Number of studies retrieved
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(((("dermatitis, atopic"[MeSH Terms] OR "atopic dermatitis"[All Fields] OR "atopic eczema"[All Fields] OR "dermatitis, atopic"[MeSH Terms]) AND ("child"[MeSH Terms] OR "child"[All Fields] OR "children"[All Fields] OR "child s"[All Fields] OR "children s"[All Fields] OR "childrens"[All Fields] OR "childs"[All Fields])) OR ("paediatrics"[All Fields] OR "pediatrics"[MeSH Terms] OR "pediatrics"[All Fields] OR "paediatric"[All Fields] OR "pediatric"[All Fields]) OR ("paediatrics"[All Fields] OR "pediatrics"[MeSH Terms] OR "pediatrics"[All Fields] OR "paediatric"[All Fields] OR "pediatric"[All Fields]) OR ("adolescences"[All Fields] OR "adolescency"[All Fields] OR "adolescent"[MeSH Terms] OR "adolescent"[All Fields] OR "adolescence"[All Fields] OR "adolescents"[All Fields] OR "adolescent s"[All Fields])) AND ("africa south of the sahara"[MeSH Terms] OR "africa south of the sahara"[All Fields] OR "sub saharan africa"[All Fields] OR "sub saharan africa"[All Fields] OR "africa"[MeSH Terms] OR "africa"[All Fields] OR "Angola"[All Fields] OR "Benin"[All Fields] OR "Botswana"[All Fields] OR "Burkina Faso"[All Fields] OR "Burundi"[All Fields] OR "Cameroon"[All Fields] OR "Cape Verde"[All Fields] OR "Central African Republic"[All Fields] OR "Chad"[All Fields] OR "Comoros"[All Fields] OR "Congo"[All Fields] OR "Cote d'Ivoire"[All Fields] OR "Djibouti"[All Fields] OR "Equatorial Guinea"[All Fields] OR "Eritrea"[All Fields] OR "Ethiopia"[All Fields] OR "Gabon"[All Fields] OR "The Gambia"[All Fields] OR "Ghana"[All Fields] OR "Guinea"[All Fields] OR "Guinea-Bissau"[All Fields] OR "Kenya"[All Fields] OR "Lesotho"[All Fields] OR "Liberia"[All Fields] OR "Madagascar"[All Fields] OR "Malawi"[All Fields] OR "Mali"[All Fields] OR "Mauritania"[All Fields] OR "Mauritius"[All Fields] OR "Mozambique"[All Fields] OR "Namibia"[All Fields] OR "Niger"[All Fields] OR "Nigeria"[All Fields] OR "Reunion"[All Fields] OR "Rwanda"[All Fields] OR "Sao Tome and Principe"[All Fields] OR "Senegal"[All Fields] OR "Seychelles"[All Fields] OR "Sierra Leone"[All Fields] OR "Somalia"[All Fields] OR "South Africa"[All Fields] OR "Sudan"[All Fields] OR "Swaziland"[All Fields] OR "Tanzania"[All Fields] OR "Togo"[All Fields] OR "Uganda"[All Fields] OR "Western Sahara"[All Fields] OR "Zambia"[All Fields] OR "Zimbabwe"[All Fields])) AND ((clinicaltrial[Filter] OR comparativestudy[Filter] OR meta-analysis[Filter] OR observationalstudy[Filter] OR randomizedcontrolledtrial[Filter] OR systematicreview[Filter]) AND (humans[Filter]) AND (2010/1/1:2021/4/20[pdat]))
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20/02/2021
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PubMed
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7,394
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Selection of evidence source
Following the compilation of all evidence sources, the EndNote library will be cleaned by deleting all duplicate records. All tools or forms that will be used for the selection of the evidence sources will be piloted tested, and the needed amendments made to ensure their accuracy and reliability. Subsequently, the EndNote library will be shared among the review team. To reduce selection bias, two reviewers will conduct the title and abstract, and the full-text article screening independently. Guided by this scoping review eligibility criteria, the evidence sources will be sorted into either "include" or "exclude" group by two independent reviewers. At the abstract stage, discrepancies that may arise will be discussed by the review team until a consensus is reached. A third reviewer will address at the full-text screening stage. The University of KwaZulu-Natal library services will be used to retrieve all full-text articles with closed access publications. Also, we will send emails to the original authors for e-copies of relevant full-text articles if needed. The various stages of the evidence sources selection will be appropriately documented using the PRISMA flow diagram (Figure 1).
Charting the data
A data charting form will be used to electronically capture relevant information from each included study. The extracted data will include the following fields (Table 3). The data extraction form will be piloted for consistency and reliability by two reviewers independently and amend if needed to ensure extraction of all relevant data.
Table 3: Data charting form
Author and publication year
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Title of study
Type of study
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Aim of study
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Study setting (country); site
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Study design
QoL study
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Characteristics of the study population (Age; gender
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AD assessment tool
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Most relevant findings ( Severity, sleep, social factors, poor self-esteem)
Therapy
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Conclusion and/recommendations
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Collating, summarizing, and reporting the results
A narrative report will be produced to summarize the extracted data around the following outcomes: region of study, clinical severity and quality of life measuring tools, quality of life of children with AD. However, Tables and graphs will be used to present the study characteristics if essential. Thematic analyses will be used to collate, summarise and report the results in the context of the overall study purpose. The authors will read and reread the articles thoroughly noting down the initial ideas to find codes. Coding interesting features of the data systematically across the entire articles and collating data relevant to each code will be done. We will develop the codes into potential themes. The description of the coding tree and thematic content analysis will be used to analyze the data. Data related to the quality of life and AD severity scoring tools, factors related to the quality of life, and quality of life children with AD will be extracted and coded. The analysis process will use the following steps (1) Coding data from the selected articles, (2) categorizing the codes into themes, (3) displaying the data, (4) identifying key patterns in the data, and identifying sub-themes, (5) summarizing and synthesizing.
Quality Appraisal
The Mixed Method Appraisal Tool (MMAT) (20), will be adapted to assess the quality of the included primary studies. This scoping review will include study designs of qualitative, quantitative descriptive, and mixed methods studies. The specific criteria to determine the appropriateness of each included study are outlined in Appendix.
Two (AGK and WE) reviewers will retrieve data and go through assign a scores to assess each article that will assess the appropriateness of the study aims and its relevance for inclusion based on selected review criteria and then AM can verify and go through any that do not correlate and come to final list.. The overall quality for each included study will be calculated according to the following MMAT guidelines (score = number of criteria met/total score in each domain). 1 point will be given for each question and a total score out of 5 will be calculated. This will be represented as a percentage that correlates to the quality of the included studies. (Table 4) The results will use the following descriptors.
Table 4: The percentage correlates to the quality of the included studies.
Verbal Classification/rating
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Description
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Quality Score
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Very poor
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Only 1 of the 5 criteria are met
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20%
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Poor quality
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Only 2 of the stipulated criteria are met
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40%
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Fair quality
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Three of the 5 criteria are met
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60%
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Good quality
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Four of the five criteria are met
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80%
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Excellent quality
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All five criteria are met
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100%
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