ArticleEvidence-based complementary and alternative medicine : eCAM2022
Effect Analysis of In-Hospital Transfer Care Based on STABLE Technology in Critically Ill Newborns.
Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Retracted: Effect Analysis of In-Hospital Transfer Care Based on STABLE Technology in Critically Ill Newborns.Evidence-based complementary and alternative medicine : eCAM · 2023Article
Corrections and comments
- Retraction · 2023-06-21Concerns/Issues about Data · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/82D287B56A6CA6B2E1FD29A0CA3CCA
- Retracted
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Analysis of the effectiveness of in-hospital transfer care based on the STABLE (sugar and safe care, temperature, airway, blood pressure, lab work, emotional support) technique in critically ill neonates. Methods: Retrospective analysis of the case data of 180 critically ill neonates transferred to the NICU (neonatal intensive care unit) via the delivery room (operating room) in our hospital from April 2020 to December 2021. Of which, 88 newborns from April 2020 to February 2021 were resuscitated by conventional resuscitation and then transferred to the NICU by the nurses in the delivery room (operating room) through the green channel, and they were recorded as the control group; and 92 newborns from March to December 2021 were transferred to the NICU by the NICU transfer nurses who arrived at the delivery room (operating room) earlier and used the in-hospital transfer care based on STABLE technology, and they were recorded as the intervention group. The indicators to be assessed were the execution pass rate in the simulated assessment of the transfer emergency procedure for both groups of transporters, execution times of the various subprocesses during the transfer procedure for both groups of transporters, accidents in transit, and blood glucose, blood pressure, body temperature, respiration, blood gas indicators, and family satisfaction of children in both groups after transfer. Results: The total execution pass rate for transporters was higher in the intervention group than in the control group ( Conclusion: The implementation of transfer care based on STABLE technology for newborns in urgent need of in-hospital transfer can effectively improve the comprehensive quality and emergency response ability of transfer nurses and shorten the in-hospital transfer time, and the incidence of adverse reactions during the transfer of children is less, the vital signs are stable, and the satisfaction of family members is high, which is of promotion value.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.