Device Functionalities and Technology Acceptance for Innovations in Neonatal Ventilation and Enhanced, Immediate Newborn Care: International, Multicenter, Web-Based Survey Study
Bibliographic record
Abstract
Background: A substantial number of newborns face postdelivery respiratory issues annually. Current ventilation devices in immediate newborn care lack integrated sensors and supporting mechanisms for medical professionals. This is a potential field of improvement, as safe ventilation relies on accurate pressure administration in current t-piece resuscitators. As the needed support during the process is currently limited, it highlights the demand for innovations in neonatal ventilation technology to improve efficacy and reduce potential errors. Objective: The objective of the study was to facilitate collaboration between medical and engineering experts to evaluate the critical factors for the successful implementation of an innovative ventilation technology in clinical immediate newborn care. Incorporating the views of medical professionals into the survey is expected to offer valuable insights to engineers for subsequent technological refinement. Methods: An international multicenter online survey was conducted among 51 neonatal health care professionals in the DACH region (Germany, Austria, and Switzerland) in order to (1) assess the specific functionalities required in a neonatal ventilation assistant in immediate newborn care from a medical technology viewpoint, (2) characterize the acceptance of such a device as support tool using the extended technology acceptance model, and (3) identify further steps toward integration of such technologies. Results: According to the results, a visual representation of the current mask leakage and tidal volume is an essential feature. Integrating alarms in visual rather than audible form when limit values are exceeded is preferable. In contrast, medical professionals ranked an external control using a foot pedal as the least necessary feature. Based on the findings, acceptance constructs of the neonatal ventilation technology were moderately scored. Perceived usefulness (β=.76, P<.001) was the main predictor of the behavioral intention to use such a supportive instrument. Conclusions: There is an evident willingness to integrate sophisticated support techniques into a neonatal ventilation device for immediate newborn care.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".