Cost of neonatal abstinence syndrome: an economic analysis of English national data held in the National Neonatal Research Database

Eat, Sleep, Console model for neonatal opioid withdrawal syndrome: a meta-analysis

Background

The rising incidence of drug abuse among pregnant women has rendered neonatal opioid withdrawal syndrome a significant global health concern.

Methods

Databases including PubMed, Web of Science, the Cochrane Library, Embase, Elton B. Stephens. Company (EBSCO), China National Knowledge Infrastructure (CNKI), and Wanfang were searched for comparative studies of the Eat, Sleep, Console model vs. traditional assessment tools for neonatal opioid withdrawal syndrome. Two reviewers conducted literature searches, screened according to the inclusion criteria, extracted data, and independently verified accuracy. All meta-analyses were conducted using Review Manager Version 5.4.

Results

In total, 18 studies involving 4,639 neonates were included in the meta-analysis. The Eat, Sleep, Console model demonstrated superior outcomes in assessing neonatal opioid withdrawal syndrome, significantly reducing the need for pharmacological treatment [risk ratio = 0.44, 95% confidence interval (CI) = 0.34-0.56, P < 0.001], decreasing the length of hospital stay [standard mean difference (SMD) = -2.10, 95% CI = -3.43 to -0.78, P = 0.002], and shortening the duration of opioid treatment (SMD = -1.33, 95% CI = -2.22 to -0.45, P = 0.003) compared to the Finnegan Neonatal Abstinence Scoring System.

Conclusions

The Eat, Sleep, Console model is more effective than the Finnegan Neonatal Abstinence Scoring System in improving the assessment and management of neonatal opioid withdrawal syndrome.

Current management of neonatal abstinence syndrome: a survey of practice in the UK and Ireland

OBJECTIVE

To study the current management practices of neonatal abstinence syndrome (NAS) throughout the UK and Ireland and identify changes in practice from the most recent survey in 2008.

DESIGN

Postal questionnaire to a consultant paediatrician or neonatologist in all 215 neonatal units in the UK and Ireland in January 2020.

RESULTS

Response rate was 62%. An objective scoring tool was used in 97% of units and the Finnegan score was favoured by 70%. Morphine sulfate use as first line for the treatment of opiate withdrawal was almost universal and 70% used a dose of 40 µg/kg every 4 hours (240 µg/kg/day). Phenobarbitone administration as a second-line agent for opiate withdrawal increased to 61% of units with significant reductions in chloral hydrate and chlorpromazine use compared with the previous survey. Morphine sulfate and phenobarbitone remain the preferred first-line and second-line agents, respectively, for polysubstance withdrawal. There was a significant increase in chlorpromazine use as first line for polydrug withdrawal (1.5-14.2%). The practice of units discharging infants' home on medication increased to 46% from 29%. All units now permit breastfeeding in mothers taking methadone, compared with 81% previously.

CONCLUSION AND RELEVANCE

Compared with the previous survey, improvements in evidence-based practices were noted, highlighting the benefits of this type of research. Nonetheless, significant variation still exists in some aspects of the management of NAS. Post-discharge follow-up varies widely, with particular deficits in ophthalmology follow-up.

County-level neonatal opioid withdrawal syndrome rates and real-world access to buprenorphine during pregnancy: An audit ("secret shopper") study in Missouri

Background

Amid rising rates of neonatal opioid withdrawal syndrome (NOWS) worldwide and in many regions of the USA, we conducted an audit study ("secret shopper study") to evaluate the influence of county-level buprenorphine capacity and rurality on county-level NOWS rates.

Methods

In 2019, up to three phone calls were made to buprenorphine prescribers in the state of Missouri (USA). County-level buprenorphine capacity was defined as the number of clinicians (across all specialties) accepting pregnant people divided by the number of births. Multivariable negative binomial regression models estimated associations between buprenorphine capacity, rurality, and county-level NOWS rates, controlling for potential confounders (i.e., poverty, unemployment, and physician shortages) that may correspond to higher rates of NOWS and lower rates of buprenorphine prescribing. Analyses were stratified using tertiles of county-level overdose rates (top, middle, and lowest 1/3 of overdose rates).

Results

Of 115 Missouri counties, 81(70 %) had no buprenorphine capacity, 17(15 %) were low-capacity (<0.5-clinicians/1,000 births), and 17(15 %) were high-capacity (≥0.5/1,000 births). The mean NOWS rate was 6.5/1,000 births. In Missouri counties with both the highest and lowest opioid overdose rates, higher buprenorphine capacity did not correspond to decreases in NOWS rates (incidence rate ratio[IRR]=1.23[95 %-confidence-interval[CI]=0.65-2.32] and IRR=1.57[1.21-2.03] respectively). Rurality did not correspond to greater NOWS burden in both Missouri counties with highest and lowest opioid overdose rates.

Conclusions

The vast majority of counties in Missouri have no capacity for buprenorphine prescribing during pregnancy. Rurality and lower buprenorphine capacity did not significantly predict elevated rates of NOWS.