Urban-Rural Disparities in Vaccination Service Use Among Low-Income Adolescents

Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study

BACKGROUND

Vaccination plays an important role in preventing COVID-19 infection and reducing the severity of the disease. There are usually differences in vaccination rates between urban and rural areas. Measuring these differences can aid in developing more coordinated and sustainable solutions. This information also serves as a reference for the prevention and control of emerging infectious diseases in the future.

OBJECTIVE

This study aims to assess the current coverage rate and influencing factors of COVID-19 (second booster) vaccination among Chinese residents, as well as the disparities between urban and rural areas in China.

METHODS

This cross-sectional study used a stratified random sampling approach to select representative samples from 11 communities and 10 villages in eastern (Changzhou), central (Zhengzhou), western (Xining), and northeast (Mudanjiang) Mainland China from February 1 to February 18, 2023. The questionnaires were developed by experienced epidemiologists and contained the following: sociodemographic information, health conditions, vaccine-related information, information related to the Protective Motivation Theory (PMT), and the level of trust in the health care system. Vaccination rates among the participants were evaluated based on self-reported information provided. Binary logistic regression models were performed to explore influencing factors of vaccination among urban and rural participants. Urban-rural disparities in the vaccination rate were assessed using propensity score matching (PSM).

RESULTS

A total of 5780 participants were included, with 53.04% (3066/5780) being female. The vaccination rate was 12.18% (704/5780; 95% CI 11.34-13.02) in the total sample, 13.76% (341/2478; 95% CI 12.40-15.12) among the rural participants, and 10.99% (363/3302; 95% CI 9.93-12.06) among the urban participants. For rural participants, self-reported health condition, self-efficacy, educational level, vaccine knowledge, susceptibility, benefits, and trust in the health care system were independent factors associated with vaccination (all P＜.05). For urban participants, chronic conditions, COVID-19 infection, subjective community level, vaccine knowledge, self-efficacy, and trust in the health care system were independent factors associated with vaccination (all P＜.05). PSM analysis uncovered a 3.42% difference in vaccination rates between urban and rural participants.

CONCLUSIONS

The fourth COVID-19 vaccination coverage rate (second booster) among the Chinese population was extremely low, significantly lower than the previous vaccine coverage rate. Given that COVID-19 infection is still prevalent at low levels, efforts should focus on enhancing self-efficacy to expand the vaccine coverage rate among the Chinese population. For rural residents, building awareness of the vaccine's benefits and improving their overall health status should be prioritized. In urban areas, a larger proportion of people with COVID-19 and patients with chronic illness should be vaccinated.

Identifying Healthcare Professionals With Lower Human Papillomavirus (HPV) Vaccine Recommendation Quality: A Systematic Review

PURPOSE

Strengthening healthcare professionals' (HCPs) communication is an evidence-based approach to increasing human papillomavirus (HPV) vaccine uptake among adolescents. To better target future interventions, we sought to synthesize evidence on HCP subgroups who most need to improve their HPV vaccine recommendation quality.

METHODS

We searched five databases for quantitative studies published from 2012 to 2022 on HPV vaccine recommendation quality, including recommendation consistency and strength, for United States adolescents. Two coders independently abstracted data from each eligible study, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We summarized variation in recommendation quality by clinical and HCP characteristics.

RESULTS

The 28 eligible studies indicated that relatively low proportions of HCPs used higher-quality recommendation practices (median: 61% across 30 measures) and that recommendation quality varied across HCP subgroups. The most consistent findings were that more pediatric HCPs used higher-quality recommendations than family medicine HCPs (8 of 11 studies, 2-60 percentage point difference) and that HPV-related knowledge was associated with higher recommendation quality (four of seven studies). Most studies observed no differences in recommendation quality by clinical role (e.g., provider vs. nurse) or HCP demographics (e.g., gender, age, race/ethnicity).

DISCUSSION

Studies suggest a substantial need to improve HCPs' recommendation quality, with opportunities for targeting future interventions.

Racialized economic segregation and potentially preventable hospitalizations among Medicaid/CHIP-enrolled children

OBJECTIVE

To examine geographic variation in preventable hospitalizations among Medicaid/CHIP-enrolled children and to test the association between preventable hospitalizations and a novel measure of racialized economic segregation, which captures residential segregation within ZIP codes based on race and income simultaneously.

DATA SOURCES

We supplement claims and enrollment data from the Transformed Medicaid Statistical Information System (T-MSIS) representing over 12 million Medicaid/CHIP enrollees in 24 states with data from the Public Health Disparities Geocoding Project measuring racialized economic segregation.

STUDY DESIGN

We measure preventable hospitalizations by ZIP code among children. We use logistic regression to estimate the association between ZIP code-level measures of racialized economic segregation and preventable hospitalizations, controlling for sex, age, rurality, eligibility group, managed care plan type, and state.

DATA EXTRACTION METHODS

We include children ages 0-17 continuously enrolled in Medicaid/CHIP throughout 2018. We use validated algorithms to identify preventable hospitalizations, which account for characteristics of the pediatric population and exclude children with certain underlying conditions.

PRINCIPAL FINDINGS

Preventable hospitalizations vary substantially across ZIP codes, and a quarter of ZIP codes have rates exceeding 150 hospitalizations per 100,000 Medicaid-enrolled children per year. Preventable hospitalization rates vary significantly by level of racialized economic segregation: children living in the ZIP codes that have the highest concentration of low-income, non-Hispanic Black residents have adjusted rates of 181 per 100,000 children, compared to 110 per 100,000 for children in ZIP codes that have the highest concentration of high-income, non-Hispanic white residents (p < 0.01). This pattern is driven by asthma-related preventable hospitalizations.

CONCLUSIONS

Medicaid-enrolled children's risk of preventable hospitalizations depends on where they live, and children in economically and racially segregated neighborhoods-specifically those with higher concentrations of low-income, non-Hispanic Black residents-are at particularly high risk. It will be important to identify and implement Medicaid/CHIP and other policies that increase access to high-quality preventive care and that address structural drivers of children's health inequities.

Do social media campaigns foster vaccination adherence? A systematic review of prior intervention-based campaigns on social media

The COVID-19 pandemic has demonstrated the importance of large-scale campaigns to facilitate vaccination adherence. Social media presents unique opportunities to reach broader audiences and reduces the costs of conducting national or global campaigns aimed at achieving herd immunity. Nonetheless, few studies have reviewed the effectiveness of prior social media campaigns for vaccination adherence, and several prior studies have shown that social media campaigns do not increase uptake rates. Hence, our objective is to conduct a systematic review to examine the effectiveness of social media campaigns and to identify the reasons for the mixed results of prior studies. Our methodology began with a search of seven databases, which resulted in the identification of 92 interventions conducted over digital media. Out of these 92 studies, only 15 adopted social media campaigns for immunization. We analyzed these 15 studies, along with a coding scheme we developed based on reviews of both health interventions and social media campaigns. Multiple coders, who were knowledgeable about social media campaigns and healthcare, analyzed the 15 cases and obtained an acceptable level of inter-coder reliability (> .80). The results from our systematic review show that only a few social media campaigns have succeeded in enhancing vaccination adherence. In addition, few campaigns have utilized known critical success factors of social media to induce vaccination adherence. Based on these findings, we discuss a set of research questions that informatics scholars should consider when identifying opportunities for using social media to resolve one of the most resilient challenges in public health. Finally, we conclude by discussing how the insights drawn from our systematic reviews contribute to advancing theories, such as social influence and the health belief model, into the realm of social media-based health interventions.

Effects of Vaccination Against Influenza, Pertussis, and COVID-19 on Human Milk Antibodies: Current Evidence and Implications for Health Equity

Human milk contains three antibody classes that confer mucosal immunity to the breastfed infant: secretory IgA (SIgA), secretory IgM (SIgM), and IgG. Influenza and pertussis vaccines administered during pregnancy induce pathogen specific SIgA and IgG responses in human milk that have been shown to protect the breastfed infant from these respiratory illnesses. In addition, mRNA vaccines against the SARS-CoV-2 virus administered during pregnancy and lactation induce anti-SARS-CoV-2 IgG and IgA responses in human milk. This review summarizes the immunologic benefits of influenza, pertussis, and COVID-19 vaccines conferred by human milk. Additionally, future research direction in human milk immunity and public health needs to improve lactational support are discussed.

Social Capital, Urbanization Level, and COVID-19 Vaccination Uptake in the United States: A National Level Analysis

Vaccination remains the most promising mitigation strategy for the COVID-19 pandemic. However, existing literature shows significant disparities in vaccination uptake in the United States. Using publicly available national-level data, we aimed to explore if county-level social capital can further explain disparities in vaccination uptake rates when adjusting for demographic and social determinants of health (SDOH) variables, and if association between social capital and vaccination uptake may vary by urbanization level. Bivariate analyses and a hierarchical multivariable quasi-binomial regression analysis were conducted, where the regression analysis was stratified by urban-rural status. The current study suggests that social capital contributes significantly to the disparities of vaccination uptake in the US. The results of the stratification analysis show common predictors of vaccine uptake but also suggest various patterns based on urbanization level regarding the associations of COVID-19 vaccination uptake with SDOH and social capital factors. The study provides a new perspective to address disparities in vaccination uptake through fostering social capital within communities; which may inform tailored public health intervention efforts to enhance social capital and promote vaccination uptake.

Disparities in healthcare access and utilization and human papillomavirus (HPV) vaccine initiation in the United States

Currently in the United States, Human Papillomavirus (HPV) vaccination coverage among eligible individuals is lower compared to coverage goals of 80% set by the HealthyPeople 2030 initiative. In this study, we used the National Health and Nutrition Examination Survey (NHANES) 2015-2016 and 2017-2018 datasets to determine the association between HPV vaccine initiation among individuals of ages 9 to 26 years and their patterns of healthcare access and utilization. In particular, we examined the following healthcare characteristics: 1) having a routine place of healthcare, 2) having health insurance coverage, 3) frequency of healthcare visits per year, and 4) type of routine place of healthcare (outpatient primary care vs. ED, etc.). We fit independent multivariable logistic regression models for each NHANES dataset and controlled for sociodemographic characteristics and interactions with healthcare access and utilization characteristics. Our findings suggest that HPV vaccine initiation is positively associated with having a routine place of healthcare (2015-2016: aOR 1.92, 95% CI 1.25-2.95; 2017-2018: aOR 1.99, 95% CI 1.07-3.68). Relatedly, HPV vaccine initiation is negatively associated with never having received healthcare in the past year (2015-2016: aOR 0.61, 95% CI 0.41-0.90; 2017-2018: aOR 0.45, 95% CI 0.27-0.75). The results of this study suggest that interventions to promote HPV vaccination should include strategies that promote access to and utilization of routine health care services. Our findings are particularly salient in light of the drop in HPV vaccine initiation and healthcare access and utilization among adolescents during the COVID-19 pandemic.