Wait a Minute or More (WAMM): a pragmatic stepped wedge cluster randomised implementation trial assessing the effect of a quality improvement programme on the proportion of infants achieving delayed cord clamping more than 60 s in infants <37 weeks’ gestation in up to 20 maternity hospitals
Bibliographic record
Abstract
Introduction Delayed cord clamping (DCC) is an evidence-based intervention that reduces mortality, anaemia and disability in infants born <37 weeks’ gestation who do not require immediate resuscitation. However, it is neither reliably recorded nor routinely implemented in Australia. The Wait a Minute or More (WAMM) study aims to reduce this gap between the evidence and practice by integrating timely sharing of cord clamping data with Evidence-based Practice for Improving Quality methods to increase the proportion of preterm infants receiving DCC for 60 s or longer (DCC60). Methods The WAMM study is a pragmatic stepped wedge cluster randomised trial (SW-CRT), informed by the Integrated-Promoting Action on Research Implementation in Health Services (i-PARIHS) framework. Up to 20 Australian maternity hospitals will participate in this pragmatic SW-CRT to evaluate if in ( Population ) infants <37 weeks’ gestation who do not need resuscitation, does ( Intervention ) the WAMM intervention (sharing of anonymised data on DCC60, together with a locally adapted quality improvement (QI) programme), compared with ( Control ) sharing of anonymised data on DCC60 alone, increase ( primary Outcome ) the proportion of infants receiving DCC60? At the end of 72 weeks, all sites will complete an 8-week period without the WAMM intervention to evaluate if implementation of DCC is sustained. Alongside the SW-CRT, an embedded process evaluation will assess the fidelity, acceptability, mechanisms of action and contextual barriers and enablers of the WAMM intervention. Discussion Using the stepped wedged design and guided by an explicit implementation framework (i-PARIHS), WAMM will provide information on the effectiveness and transferability of a locally adapted QI method to improve DCC60. If proven effective, ultimately scaling up the WAMM intervention globally will greatly improve childhood anaemia, death, disability and long-term costs. Trial registration number ACTRN12624000035527.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".