Hepatitis B Birth Dose: First Shot at Timely Early Childhood Vaccination

Hepatitis B Birth Dose Vaccination Improvement Initiative: The 24-Hour Baby Bundle

BACKGROUND

An estimated 25,000 infants are born to mothers diagnosed with hepatitis B virus (HBV) each year in the United States. Administration of the birth dose HBV vaccine prevents transmission during delivery. Despite national guidelines promoting vaccination within 24 hours of birth, fewer than 70% of infants receive the dose in their first 3 days of life. To improve compliance with national recommendations, Northwestern Medicine implemented a bundled care initiative in the well newborn nursery, entitled the 24-hour baby bundle (24-HBB).

PURPOSE

Evaluate the 24-HBB's effect on improving time to HBV vaccine administration.

METHODS

The 24-HBB was created by an interdisciplinary team and implemented on February 17, 2020. Bundled care begins at 23 hours of life, starting with the HBV vaccine, followed by bath, weight, and congenital heart disease screening, and ending with metabolic screening. We conducted a retrospective cohort study of 22,057 infants born at Northwestern Medicine Prentice Women's Hospital in Chicago, Illinois. Our sample included preintervention birthdates between February 16, 2019, and January 16, 2020, and postintervention birthdates between March 17, 2020, and February 16, 2021, with a 2-month washout education period between January 17, 2020, and March 16, 2020.

RESULTS

Hepatitis B virus immunization within 24 hours increased significantly from 43.83% to 66.90% (P < .0001). In addition, overall hepatitis B immunization prior to discharge significantly increased after implementation of the 24-HBB (98.18% vs 98.82%, P < .0001).

IMPLICATIONS FOR PRACTICE AND RESEARCH

The 24-HBB is effective at increasing rates of HBV immunization within 24 hours of birth. Newborn nurseries may benefit from similar initiatives to prevent hepatitis B infection, satisfy national recommendations, and promote childhood vaccination compliance.

Determinants of incomplete childhood hepatitis B vaccination in Sierra Leone, Liberia, and Guinea: Analysis of national surveys (2018-2020)

Vaccination against hepatitis B virus (HBV) is effective at preventing vertical transmission. Sierra Leone, Liberia, and Guinea are hyperendemic West African countries; yet, childhood vaccination coverage is suboptimal, and the determinants of incomplete vaccination are poorly understood. We analyzed national survey data (2018-2020) of children aged 4-35 months to assess complete HBV vaccination (receiving 3 doses of the pentavalent vaccine) and incomplete vaccination (receiving <3 doses). Statistical analysis was conducted using the complex sample command in SPSS (version 28). Multivariate logistic regression was used to identify determinants of incomplete immunization. Overall, 11,181 mothers were analyzed (4,846 from Sierra Leone, 2,788 from Liberia, and 3,547 from Guinea). Sierra Leone had the highest HBV childhood vaccination coverage (70.3%), followed by Liberia (64.6%) and Guinea (39.3%). Within countries, HBV vaccination coverage varied by socioeconomic characteristics and healthcare access. In multivariate regression analysis, factors that were significantly associated with incomplete vaccination in at least one country included sex of the child, Muslim mothers, lower household wealth index, <4 antenatal visits, home delivery, and distance to health facility vaccination (all p < 0.05). Understanding and addressing modifiable determinants of incomplete vaccination will be essential to help achieve the 2030 viral hepatitis elimination goals.

Mapping the timeliness of routine childhood vaccination in The Gambia: A spatial modelling study

INTRODUCTION

Timeliness of routine vaccination shapes childhood infection risk and thus is an important public health metric. Estimates of indicators of the timeliness of vaccination are usually produced at the national or regional level, which may conceal epidemiologically relevant local heterogeneities and makeitdifficultto identify pockets of vulnerabilities that could benefit from targeted interventions. Here, we demonstrate the utility of geospatial modelling techniques in generating high-resolution maps of the prevalence of delayed childhood vaccination in The Gambia. To guide local immunisation policy and prioritize key interventions, we also identified the districts with a combination of high estimated prevalence and a significant population of affected infants.

METHODS

We used the birth dose of the hepatitis-B vaccine (HepB0), third-dose of the pentavalent vaccine (PENTA3), and the first dose of measles-containing vaccine (MCV1) as examples to map delayed vaccination nationally at a resolution of 1 × 1-km2 pixel. We utilized cluster-level childhood vaccination data from The Gambia 2019-20 Demographic and Health Survey. We adopted a fully Bayesian geostatistical model incorporating publicly available geospatial covariates to aid predictive accuracy. The model was implemented using the integrated nested Laplace approximation-stochastic partial differential equation (INLA-SPDE) approach.

RESULTS

We found significant subnational heterogeneity in delayed HepB0, PENTA3 and MCV1 vaccinations. Specificdistricts in the central and eastern regions of The Gambia consistentlyexhibited the highest prevalence of delayed vaccination, while the coastal districts showed alower prevalence forallthree vaccines. We also found that districts in the eastern, central, as well as in coastal parts of The Gambia had a combination of high estimated prevalence of delayed HepB0, PENTA3 and MCV1 and a significant population of affected infants.

CONCLUSIONS

Our approach provides decision-makers with a valuable tool to better understand local patterns of untimely childhood vaccination and identify districts where strengthening vaccine delivery systems could have the greatest impact.

Planned Out-of-Hospital Birth as a Risk Factor for Nonreceipt of Hepatitis B Immunization

BACKGROUND

The hepatitis B vaccine (HBV) is recommended at birth to prevent perinatal hepatitis B transmission; however, many newborns still do not receive HBV. The extent to which planned out-of-hospital births, which have increased over the past decade, are associated with nonreceipt of the HBV birth dose is unknown. The purpose of this study was to determine whether a planned out-of-hospital birth location is associated with the nonreceipt of the HBV birth dose.

METHODS

We performed a retrospective cohort study of all births from 2007 to 2019 recorded in the Colorado birth registry. χ2 analyses were used to compare maternal demographics by birth location. Univariate and multiple logistic regression were used to evaluate the association of birth location with nonreceipt of the HBV birth dose.

RESULTS

In total 1.5% of neonates born in freestanding birth centers and 0.1% of neonates born at a planned home birth received HBV compared to 76.3% of neonates born in a hospital location. After adjusting for confounders, this translated to a large increase in the odds of not receiving HBV compared to in-hospital births [freestanding birth center (aodds ratio (aOR): 172.98, 95% confidence interval (CI): 136.98-219.88); planned home birth (aOR: 502.05, 95% CI: 363.04-694.29)]. Additionally, older maternal age, White/non-Hispanic race and ethnicity, higher income, and private or no insurance were associated with nonreceipt of the HBV birth dose.

CONCLUSIONS

Planned out-of-hospital birth is a risk factor for nonreceipt of the HBV birth dose. As births in these locations become more common, targeted policies and education are warranted.

Timeliness in the uptake of hepatitis B birth dose among Indian children under age five: A population-based study

OBJECTIVE

To assess the timeliness and risk factors for the delay in the uptake of the hepatitis B birth dose among Indian children aged 0-59 months. Information regarding whether the children received the birth dose and the time of receiving it was recorded based on the vaccination card available at the time of the National Family Health Survey (NFHS).

METHODS

Using data from the fourth and fifth round of India's National Family Health Survey (NFHS), the percentage of uptake and timely receipt of the hepatitis B birth dose were obtained by background characteristics and at the sub-national level (state). Multinomial logistic regression analysis was used to examine the risk factors. This study further performed a negative binomial regression estimation to predict the probability of receiving the birth dose at each day within a multivariable framework.

RESULTS

It was found that approximately 34 % of the children who received the birth dose and the timing of receiving the birth dose was made available through the vaccination card were administered the dose within 24-hours during 2015-16. However, the percentage increased to 51.91 % during 2019-21. During 2019-21, Ladakh had the highest proportion (85.03 %) of children receiving the dose within 24-hours, followed by Jammu & Kashmir with 78 %, and Arunachal Pradesh with 68 %. Mother's education, economic status of the child's family and region (children belong from) were found to be significant predictors in delay of receiving the birth dose within 24 hours.

CONCLUSION

Results indicated a need for targeted interventions to improve the coverage and timeliness in the uptake of this critical vaccine dose in the country. These interventions could include strategies such as strengthening the healthcare system, improving awareness among parents and healthcare providers, addressing logistical challenges in vaccine delivery, and promoting community engagement and education on importance of timely vaccination.

Knowledge level of healthcare professionals regarding hepatitis B immunizatıon of newborns: example of Turkey

OBJECTIVE

The aim of this study was to evaluate healthcare professionals' knowledge level for hepatitis B immunization of term and preterm newborns.

METHODS

The study was conducted with 213 midwives, nurses, and physicians between October 2021 and January 2022 in a province of Turkey.

RESULTS

Participants had the least knowledge about the management of newborns with low birth weight born to hepatitis B-infected mothers (16%).

CONCLUSION

The study revealed some knowledge gaps among healthcare professionals regarding hepatitis B immunization of newborns.

Hepatitis B Vaccination of Low Birth Weight Infants in Washington State

OBJECTIVE

The U.S. Advisory Committee on Immunization Practices (ACIP) recommends that infants born weighing less than 2,000 g receive the hepatitis B (HepB) vaccine at hospital discharge or 30 days of age. This study aimed to assess timely HepB vaccination among low birth weight infants. We hypothesized that many of these vulnerable infants would fail to receive their HepB birth dose on time.

STUDY DESIGN

This retrospective cohort study included Washington State infants born weighing less than 2,000 g at an academic medical center between 2008 and 2013. Data were abstracted from electronic health records and linked to vaccine data from the Washington State Immunization Information System. Multivariable logistic regression was used to examine the associations between sociodemographic, clinical, and visit characteristics and HepB vaccination by birth hospitalization discharge or 30 days of age.

RESULTS

Among 976 study infants, 58.4% received their HepB vaccine by birth hospitalization discharge or 30 days of age. Infants had higher odds of timely HepB vaccination if they were Hispanic (adjusted odds ratio [AOR] = 1.80, 95% confidence interval [CI]: 1.10-2.95) or non-Hispanic black (AOR = 2.28, 95% CI: 1.36-3.80) versus non-Hispanic white or if they were hospitalized 14 days or longer versus less than 14 days (AOR = 2.43, 95% CI: 1.66-3.54). Infants had lower odds of timely HepB vaccination if they were born before 34 weeks versus on or after 34 weeks of gestational age (AOR = 0.41, 95% CI: 0.27-0.63) or if they had an estimated household income less than $50,845 versus 50,845 or greater (AOR = 0.64, 95% CI: 0.48-0.86).

CONCLUSION

Many infants born weighing less than 2,000 g did not receive their first HepB birth dose according to ACIP recommendations. Strategies are needed to improve timely HepB vaccination in this high-risk population.

KEY POINTS

· Low birth weight infants are at increased risk for vaccine preventable diseases.. · Many of these vulnerable infants failed to receive their first hepatitis B vaccine on time.. · This study identified key factors associated with timely hepatitis B vaccination..

Vaccine Administration in Children's Hospitals

OBJECTIVES

To examine inpatient vaccine delivery across a national sample of children's hospitals.

METHODS

We conducted a retrospective cohort study examining vaccine administration at 49 children's hospitals in the Pediatric Health Information System database. Children <18 years old admitted between July 1, 2017, and June 30, 2019, and age eligible for vaccinations were included. We determined the proportion of hospitalizations with ≥1 dose of any vaccine type administered overall and by hospital, the type of vaccines administered, and the demographic characteristics of children who received vaccines. We calculated adjusted hospital-level rates for each vaccine type by hospital. We used logistic and linear regression models to examine characteristics associated with vaccine administration.

RESULTS

There were 1 185 667 children and 1 536 340 hospitalizations included. The mean age was 5.5 years; 18% were non-Hispanic Black, and 55% had public insurance. There were ≥1 vaccine doses administered in 12.9% (95% confidence interval: 12.8-12.9) of hospitalizations, ranging from 1% to 45% across hospitals. The most common vaccines administered were hepatitis B and influenza. Vaccine doses other than the hepatitis B birth dose and influenza were administered in 1.9% of hospitalizations. Children had higher odds of receiving a vaccine dose other than the hepatitis B birth dose or influenza if they were <2 months old, had public insurance, were non-Hispanic Black race, were medically complex, or had a length of stay ≥3 days.

CONCLUSIONS

In this national study, few hospitalizations involved vaccine administration with substantial variability across US children's hospitals. Efforts to standardize inpatient vaccine administration may represent an opportunity to increase childhood vaccine coverage.

A Risk Prediction Model to Identify Newborns at Risk for Missing Early Childhood Vaccinations

BACKGROUND

Approximately 30% of US children aged 24 months have not received all recommended vaccines. This study aimed to develop a prediction model to identify newborns at high risk for missing early childhood vaccines.

METHODS

A retrospective cohort included 9080 infants born weighing ≥2000 g at an academic medical center between 2008 and 2013. Electronic medical record data were linked to vaccine data from the Washington State Immunization Information System. Risk models were constructed using derivation and validation samples. K-fold cross-validation identified risk factors for model inclusion based on alpha = 0.01. For each patient in the derivation set, the total number of weighted adverse risk factors was calculated and used to establish groups at low, medium, or high risk for undervaccination. Logistic regression evaluated the likelihood of not completing the 7-vaccine series by age 19 months. The final model was tested using the validation sample.

RESULTS

Overall, 53.6% failed to complete the 7-vaccine series by 19 months. Six risk factors were identified: race/ethnicity, maternal language, insurance status, birth hospitalization length of stay, medical service, and hepatitis B vaccine receipt. Likelihood of non-completion was greater in the high (77.1%; adjusted odds ratio [AOR] 5.6; 99% confidence interval [CI]: 4.2, 7.4) and medium (52.7%; AOR 1.9; 99% CI: 1.6, 2.2) vs low (38.7%) risk groups in the derivation sample. Similar results were observed in the validation sample.

CONCLUSIONS

Our prediction model using information readily available in birth hospitalization records consistently identified newborns at high risk for undervaccination. Early identification of high-risk families could be useful for initiating timely, tailored vaccine interventions.