Parental perception of neonatal transfers from level 3 to level 2 neonatal intensive care units in Calgary, Alberta: qualitative findings
Bibliographic record
Abstract
Abstract Background Retro-transfers from level 3 to 2 NICUs in Alberta’s regionalization of neonatal care system are essential to ensure the proper utilization of level 3 NICUs for complex neonatal cases. Parents often experience distress that relates to the transfer of their neonates to another hospital. Limited information is available regarding parental perceptions of distress during transfers for neonates requiring care between NICUs in the current Canadian context. The objective of this study was to investigate: 1) what caused parents distress and could be changed about the transfer process and 2) the supports that were available to help ease parental distress during the transfer process. Methods Parents of singleton infants retro-transferred from level 3 to 2 NICUs in Calgary, Alberta between January 1, 2016, and December 31, 2017, were invited to participate in the study. Questionnaires were self-administered by one parent per family. A thematic deductive approach was employed by the researchers to analyze the qualitative data. Results Our response rate was 39.1% (n = 140). We found three themes for causes of parental distress and supports available to ease parental distress during the transfer, including communication between staff members and parents, details about the transfer process, and the care received throughout and shortly after the transfer process. Conclusion Parents should receive at least 24 h of notice, regular transfer updates, employ anticipatory preparation strategies, and foster more open communication between parents and health care professionals to help ensure parental satisfaction.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".