The Impact of the COVID-19 Pandemic on Clinical Care: Considerations for Providing Virtual Evidence-Based Care to Youth With High Levels of Needle Fear
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: Youth with high levels of needle fear are at risk for adverse health outcomes and poor compliance with general and specialty medical recommendations. With consideration of the COVID-19 pandemic and the increased availability of vaccines, recommendations for adapting and virtually delivering evidence-based interventions for youth with high levels of needle fear are of particular importance for pediatric psychologists. Thus, the purpose of this commentary is to provide an overview of evidence-based interventions and recommendations for pediatric psychologists seeking to adapt and virtually deliver evidence-based interventions to youth with high levels of needle fear. Conclusions: Although pediatric psychologists may face challenges when adapting and virtually delivering exposure-based interventions to youth and their families, the clinical benefits certainly outweigh the costs, particularly considering the increased availability of the COVID-19 vaccine for youth. Implications for Impact Statement Although it is unclear whether COVID-19 vaccinations will be approved for children under 12-years of age and whether subsequent mandates will be implemented, if left unaddressed needle fear may inadvertently perpetuate the pandemic, as it is anticipated that individuals with high levels of needle fear will be more likely to decline vaccination. Thus, with consideration of the COVID-19 pandemic and anticipated rollout of COVID-19 vaccinations for youth, recommendations for pediatric psychologists seeking to adapt and virtually deliver evidence-based interventions to youth with high levels of needle fear are of particular importance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.204 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it