Nurturing care during COVID-19: a rapid review of early evidence
Bibliographic record
Abstract
OBJECTIVES: The COVID-19 pandemic has brought significant changes to family life, society and essential health and other services. A rapid review of evidence was conducted to examine emerging evidence on the effects of the pandemic on three components of nurturing care, including responsive caregiving, early learning, and safety and security. DESIGN: Two academic databases, organisational websites and reference lists were searched for original studies published between 1 January and 25 October 2020. A single reviewer completed the study selection and data extraction with verification by a second reviewer. INTERVENTIONS: We included studies with a complete methodology and reporting on quantitative or qualitative evidence related to nurturing care during the pandemic. PRIMARY AND SECONDARY OUTCOME MEASURES: Studies reporting on outcomes related to responsive caregiving, early learning, and safety and security were included. RESULTS: The search yielded 4410 citations in total, and 112 studies from over 30 countries met our eligibility criteria. The early evidence base is weighted towards studies in high-income countries, studies related to caregiver mental health and those using quantitative survey designs. Studies reveal issues of concern related to increases in parent and caregiver stress and mental health difficulties during the pandemic, which was linked to harsher and less warm or responsive parenting in some studies. A relatively large number of studies examined child safety and security and indicate a reduction in maltreatment referrals. Lastly, studies suggest that fathers' engagement in caregiving increased during the early phase of the pandemic, children's outdoor play and physical activity decreased (while screen time increased), and emergency room visits for child injuries decreased. CONCLUSION: The results highlight key evidence gaps (ie, breastfeeding support and opportunities for early learning) and suggest the need for increased support and evidence-based interventions to ensure young children and other caregivers are supported and protected during the pandemic.
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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 | 0.037 | 0.122 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.032 | 0.027 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".