Parents’ experiences regarding neonatal care during the COVID-19 pandemic: country-specific findings of a multinational survey
Bibliographic record
Abstract
OBJECTIVES: The COVID-19 pandemic has disrupted healthcare systems, challenging neonatal care provision globally. Curtailed visitation policies are known to negatively affect the medical and emotional care of sick, preterm and low birth weight infants, compromising the achievement of the 2030 Development Agenda. Focusing on infant and family-centred developmental care (IFCDC), we explored parents' experiences of the disruptions affecting newborns in need of special or intensive care during the first year of the pandemic. DESIGN: Cross-sectional study using an electronic, web-based questionnaire. SETTING: Multicountry online-survey. METHODS: Data were collected between August and November 2020 using a pretested online, multilingual questionnaire. The target group consisted of parents of preterm, sick or low birth weight infants born during the first year of the COVID-19 pandemic and who received special/intensive care. The analysis followed a descriptive quantitative approach. RESULTS: In total, 1148 participants from 12 countries (Australia, Brazil, Canada, China, France, Italy, Mexico, New Zealand, Poland, Sweden, Turkey and Ukraine) were eligible for analysis. We identified significant country-specific differences, showing that the application of IFCDC is less prone to disruptions in some countries than in others. For example, parental presence was affected: 27% of the total respondents indicated that no one was allowed to be present with the infant receiving special/intensive care. In Australia, Canada, France, New Zealand and Sweden, both the mother and the father (in more than 90% of cases) were allowed access to the newborn, whereas participants indicated that no one was allowed to be present in China (52%), Poland (39%), Turkey (49%) and Ukraine (32%). CONCLUSIONS: The application of IFCDC during the COVID-19 pandemic differs between countries. There is an urgent need to reconsider separation policies and to strengthen the IFCDC approach worldwide to ensure that the 2030 Development Agenda is achieved.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".