Mapping research evidence on quality of life in children with atopic dermatitis in sub-Saharan Africa: a scoping review protocol
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) is a chronic, debilitating disease affecting children worldwide. Several studies have shown the disease to be a significant problem which leads to a diminished quality of life (QoL) for the affected children, but systematic evaluation of such studies in Africa is yet to be reported. Therefore, this scoping review aims to map research evidence on children with AD and their QoL in sub-Saharan Africa (SSA). METHODS: The scoping review will follow the Arksey and O'Mally methodological framework. The electronic databases to be searched will include PubMed, EBSCOhost (Academic Search Complete, CINAHL, PsycINFO, and Health Sources), and Scopus and Google Scholar, for published literature between 2010 and 2021. The search strategy for the databases will include keywords, Medical Subject Headings terms, and Boolean operators. 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. Two independent reviewers will undertake abstract and full-text article screening with the guidance of eligibility criteria. This review will include studies conducted in SSA, and publications focusing on QoL and associated factors of AD in children. Data will be extracted from the included studies and analyzed qualitatively; NVIVO software V.11 will be used, and the emerging themes reported narratively. The mixed-method appraisal tool (MMAT) will be employed for quality appraisal of included studies. DISCUSSION: We look forward to the findings of several studies that describe the QoL and associated factors among children with AD and that report on the use of different diagnostic criteria, severity scaling and QoL measuring scale tools used to ascertain the presence of AD, scale the severity of AD, and the impact of AD on QoL among children. This will help to improve clinical practice and the QoL of children with AD in SSA. The study findings will be disseminated through publication in a peer-reviewed journal, peer presentations, and presentations at relevant conferences. CONCLUSION: This study will add new knowledge on the QoL in children with AD in the SSA context. The study has the potential to inform research and clinical practice to impact the QoL of children with AD in SSA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.118 | 0.103 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.013 | 0.014 |
| Bibliometrics | 0.025 | 0.017 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.007 | 0.010 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.064 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".