Developing an Anxiety Screening Tool for Children in South Africa: Protocol for a Mixed Methods Study
Bibliographic record
Abstract
BACKGROUND: Early childhood experiences such as trauma, exposure to violence, and poverty can significantly contribute to childhood anxiety, which is viewed as the most common mental health issue among children. In South Africa, there is no uniform tool to screen for anxiety during early childhood. This study aims to develop a tool to screen for anxiety in children aged 4 to 8 years, which could be utilized by preschool and foundation phase teachers to aid in the early identification of childhood anxiety. OBJECTIVE: The overall objective of this study is to explore understanding and perceptions of childhood anxiety among teachers, parents, and experts and to develop a tool to screen for anxiety in children aged 4 to 8 years. METHODS: This project will use a mixed method design that will consist of 4 stages. Stage 1 will consist of a scoping review. In Stage 2, data will be collected via semistructured interviews with 60 participants, including parents, teachers, and experts, and will be thematically analyzed. Stage 3 will consist of 20 experts and the researcher collaboratively formulating the proposed screening tool in the form of an e-Delphi component. Once the tool is refined, it will be piloted in Stage 4 with 20 teachers, and data will be analyzed with the Shapiro-Wilk test to test for normality. Additionally, factor analysis will be done to refine and restructure the tool as necessary. RESULTS: This project was funded from April 2020 to December 2021. Data collection began in September 2022 and is projected to conclude in December 2022 for the qualitative component. The e-Delphi component is expected to be carried out from March to November 2023. Ethical approval was obtained from the Biomedical Research Ethics Committee in November 2021. CONCLUSIONS: Anxiety in early childhood has been linked to various repercussions in adolescence and adulthood, such as school dropout, substance abuse, anxiety disorders, depression, and suicide ideation. Therefore, identifying the presence of anxiety earlier on and providing the necessary referral services could aid in reducing the negative consequences of unidentified and untreated anxiety in early childhood. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/37364.
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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 | 0.080 | 0.061 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.066 | 0.011 |
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".