ArticleJournal of perinatology : official journal of the California Perinatal Association2020
A quality improvement initiative to implement the eat, sleep, console neonatal opioid withdrawal syndrome care tool in Massachusetts' PNQIN collaborative.
Article in Journal of perinatology : official journal of the California Perinatal Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Eat, Sleep, Console model for neonatal opioid withdrawal syndrome: a meta-analysis.Frontiers in pediatrics · 2024Pooled it
- Efficacy of stochastic vibro-tactile stimulation for newborns at risk of neonatal opioid withdrawal syndrome.Pediatric research · 2026Trial
- Eat, Sleep, Console Approach or Usual Care for Neonatal Opioid Withdrawal.The New England journal of medicine · 2023Trial
- Discretionary Child Protective Services Reporting for Infants With Prenatal Opioid Exposure.Pediatrics · 2026Article
- Neonatal Opioid Withdrawal Syndrome: 2 Years Later…Where Are We NOWS?The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026Article
- Overview of Perinatal Quality Collaboratives and their activities to advance perinatal healthcare in the USA, 2022-2023.BMJ open quality · 2026Article
- Modeling heart rate patterns to quantify neonatal opioid withdrawal syndrome.Pediatric research · 2026Article
- Interventions to reduce pharmacologic opioid exposure in neonatal opioid withdrawal syndrome: a systematic review and meta-analysis of randomized studies.Frontiers in pain research (Lausanne, Switzerland) · 2026Review
- Training and Integration of Eat, Sleep, Console Model for Infants and Families at an Urban Academic Health Center.MedEdPORTAL : the journal of teaching and learning resources · 2026Article
- Hospital Practices and Policies for Neonatal Abstinence Syndrome: United States, 2022.Hospital pediatrics · 2025Article
- Hospital Readmissions Among Infants With Neonatal Opioid Withdrawal Syndrome.JAMA network open · 2024Article
- Short term outcomes of neonatal opioid withdrawal syndrome: a comparison of two approaches.Journal of perinatology : official journal of the California Perinatal Association · 2024Article
- Advances in the Care of Infants With Prenatal Opioid Exposure and Neonatal Opioid Withdrawal Syndrome.Pediatrics · 2024Review
- A comparison of postpartum opioid consumption and opioid discharge prescriptions among opioid-naïve patients and those with opioid use disorder.American journal of obstetrics & gynecology MFM · 2023Article
- Association between pharmacologic treatment and hospital utilization at birth among neonatal opioid withdrawal syndrome mother-infant dyads.Journal of perinatology : official journal of the California Perinatal Association · 2023Article
- Is Eat, Sleep, Console the New Standard of Care?The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2023Article
- A mini review of what matters in the management of NAS, is ESC the best care?Frontiers in pediatrics · 2023Review
- Neonatal opioid withdrawal syndrome: a review of the science and a look toward the use of buprenorphine for affected infants.Journal of perinatology : official journal of the California Perinatal Association · 2022Review
- Establishing evidence-based pharmacologic treatments for neonatal abstinence syndrome: A retrospective case study.Journal of clinical and translational science · 2022Article
- Leveraging the Massachusetts perinatal quality collaborative to address the COVID-19 pandemic among diverse populations.Journal of perinatology : official journal of the California Perinatal Association · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 13 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo support hospitals in the Massachusetts PNQIN collaborative with adoption of the ESC Neonatal Opioid Withdrawal Syndrome (NOWS) Care Tool© and assess NOWS hospitalization outcomes. STUDY
designStatewide QI study where 11 hospitals adopted the ESC NOWS Care Tool©. Outcomes of pharmacotherapy and length of hospital stay (LOS) and were compared in Pre- and Post-ESC implementation cohorts. Statistical Process Control (SPC) charts were used to examine changes over time.
resultsThe Post-ESC group had lower rates of pharmacotherapy (OR 0.35, 95% CI 0.26, 0.46) with shorter LOS (RR 0.79, 95% CI 0.76, 0.82). The 30-day NOWS readmission rate was 1.2% in the Pre- and 0.4% in the Post-ESC cohort. SPC charts indicate a shift in pharmacotherapy from 54.8 to 35.0% and LOS from 14.2 to 10.9 days Post-ESC.
conclusionsThe ESC NOWS Care Tool was successfully implemented across a state collaborative with improvement in NOWS outcomes without short-term adverse effects.
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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.