Predictors of Vaccine Uptake among Migrants in the United States: A Rapid Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Inclusion, Exclusion, and Data Extraction
2.2. Search Strategy
2.3. Data Extraction
2.4. Risk Assessment
2.5. Data Synthesis and Analysis
3. Results
4. Discussion
4.1. Childhood Immunization
4.2. COVID-19 Vaccine
4.3. Seasonal Flu Vaccine
4.4. H1N1 Influenza Virus Vaccine
4.5. HPV Vaccine
Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Study Author(s) | Year(s) of Study | Study Design | Method | Vaccine | Study Population | Total Sample Size | Total Migrant Sample Size | Objective Addressed | Predictors Identified | |
---|---|---|---|---|---|---|---|---|---|---|
(n) | (n) | (%) | ||||||||
Sun et al. | 1996 | Cross-sectional | Survey | No particular vaccine noted | Children born in the US- vs. non-US-born | 270 | 211 | 78.1 | Vaccine uptake among US vs. non-US-born children in NYC | US residential duration (+) 1 Non-English primary language (−) Health insurance (+) Family Income (+) Immigration status (−) 2 |
Page et al. | 2021 | Cross-sectional | Survey | COVID-19 | Undocumented migrants Age ≥ 16 years based in: US, Switzerland, Italy, and France | 812 | 142 from Baltimore 441 from Geneva 126 from Milano 103 from Paris | 17.5 54.3 15.5 12.7 | Perceived Accessibility Drivers and barriers for Demand | Gender (female) (+) Age (+) Comorbidity (+) Attitudes towards vaccination (+) |
Victoria H. Buelow and Jennifer Van Hook | 2007 | Cross-sectional | Looking at childhood immunization from 2000–2003 (NHIS) | Combined 4:3:1:3:3 series 3 | Children 19 months to 5 years of the US-born mothers vs. non-US-born mothers who live with mothers and have exact dates of vaccination | 3947 | 1227 children of foreign-born mothers | 31.1 | The influence of parental immigration status, citizenship, and the residential duration on the completion of the childhood immunization series | Parental nativity (“composition”) (−) US citizenship (+) US residential duration (+) Health insurance (+) Socioeconomics (−) |
Ejebe et al. | 2013 | Cross-sectional | Survey | Seasonal influenza | Adult Mexican migrants crossing at key transit points in Tijuana, Mexico | 2313 | 2313 | 100 | The uptake of the seasonal flu vaccine uptake | Gender (female) (+) comorbidity (+) Health insurance (+) |
Zhang et al. | 2020–2021 | Cross-sectional | Survey | COVID-19 | Adult refugees | 435 | 166 from Bhutan 113 from Somalia 68 from Afghanistan 39 from South Sudan 34 from Burma/Myanmar | 38.2 26.0 15.6 9.0 7.8 | The acceptance of the COVID-19 vaccine and determinants of its uptake | Gender (male) (+) Employment as an essential worker (+) |
Varan et al. | 2016 | Cross-sectional | Analysis of the National Immunization Survey 2010–2012 that assesses vaccination coverage among US children aged 19–35 months | Individual vaccines 4 and Combined 4:3:1:3*:3:1:4 series 6 | Children aged 19–35 months born in the US vs. non-US-born | 52,441 | 491 | 0.94 | Vaccination rate in the US children aged 19–35 months among different demographic characteristics | Nativity (−) Ethnicity/race (+) 5 Age of child (+) Study interview language (+) 7 Maternal education (+) Income: Poverty ratio (+) Midwest/ Southern region of residence (+) Health insurance (+) Birth order (−) Multiple health care providers (−) |
Rodriguez-Lainz et al. | 2010 and 2012 | Cross-sectional | Survey | H1N1 pandemic influenza vaccine in 2010 Seasonal flu vaccine in 2012 | Adult migrant crossing the US–Mexico border in 2010 and 2012 in CA and TX | 559 participants in 2010 1423 participants in 2012 | 559 1423 | 100 100 | The uptake of the H1N1 pandemic flu vaccine in 2010 and seasonal flu vaccine in 2012 among the US–Mexico border crossers | Regarding H1N1 flu vaccine in 2010: Level of education (−) Residence location (Mexico vs. US border) Regarding seasonal flu in 2012: Comorbidity (+) Health insurance (+) Regarding both vaccines: Age (+) Frequency of border crossing (−) |
Cofie et al. | 2019 | Cross-sectional | Analysis of pooled 2013–2017 National Health Interview Survey (NHIS) | HPV vaccine initiation | Black adults aged 18–37 years (the US-born vs. non-US-born; the study did not specify the country of birth) | 5246 | (n) was not specified Africa Mexico/ Caribbean Islands/South America | 54.5 33.1 | The HPV vaccine initiation among Black adults 18–37 years (the US-born vs. non-US-born) and its associated predictors | Gender (female) (+) Country of birth (+) 8 College degree (+) Age at HPV vaccine initiation (−) |
Chuey et al. | 2021 | Longitudinal study | Analysis of pooled 2012–2013 to 2017–2018 National Health Interview Survey (NHIS) | Seasonal flu | Adults (the US-born vs. non-US-born) | 2012–2013 31,077 2013–2014 33,126 2014–2015 32,790 2015–2016 29,345 2016–2017 27,279 2017–2018 24,495 | 5989 6100 6067 4832 3936 3732 | 17.7 18.1 18.5 18.9 18.7 18.7 | The seasonal flu vaccine uptake among adults in the US using NHIS 2012–2018 | US citizenship (+) Nativity (−) 9 |
Appendix B
Study | Random Sampling Method | Sample Size | Face/Construct Validity of the Survey | Appropriate Statistical Methods | Overall Rating | Comments |
---|---|---|---|---|---|---|
Sun et al. | Low concern | Low concern | Low concern | High concern | Low concern | The p-value was set to 0.10, and the tests were run multiple times, which might create type I error. |
Page et al. | Medium concern | Medium concern | Low concern | Medium concern | Medium concern | The frequency of running the statistical tests might undermine the significance of some of the assessed variables. Additionally, the nonrandom sampling could lead to potential bias or issues with external validity. |
Victoria H. Buelow and Jennifer Van Hook | Low concern | Low concern | Low concern | Low concern | Low concern | Not applicable. |
Ejebe et al. | Low concern | Low concern | Low concern | Low concern | Low concern | Not applicable. |
Zhang et al. | Medium concern | Low concern | High concern | Medium concern | Medium concern | The snowball sampling method with no response rate and no apparent check of interrater reliability (if there were even multiple raters) of participant responses for assignment to categories leads to concern about dependency of participants and potential bias in results. |
Varan et al. | Low concern | Low concern | Low concern | Low concern | Low concern | Not applicable. |
Rodriguez-Lainz et al. | Low concern | Low concern | Medium concern | High concern | Medium concern | Little verification of the survey itself along with collapsing data from multiple sites without weighing the data or correcting for multiple comparisons undercuts the significance of the results. |
Cofie et al. | Low concern | Low concern | Low concern | Low concern | Low concern | Not applicable. |
Chuey et al. | Low concern | Low concern | Low concern | High concern | Medium concern | Many types of tests run including linear regression and t-tests without any verification of the assumptions of those tests. Data was subdivided many times, which makes the few significant results questionable given the number of categories and comparisons. |
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PICO | Inclusion Criteria | Exclusion Criteria |
---|---|---|
Population | Adult, adolescent, and child migrants (foreign-born) and children of migrants (under 18 years of age, with at least one migrant parent) residing in the US. | Migrant is not defined by country of origin or birth; data were not collected in the US; data were not collected within the specified timeframe; articles that are not primary research; articles not written in English. |
Intervention | Predictors that significantly assess the COVID-19 vaccine and other vaccine uptake in migrant populations will be examined. Papers about variables that assess the likelihood of accepting COVID-19 vaccines and other vaccines among migrant populations will be considered (e.g., country of origin, age, income, integration into society, health belief, etc.). | This review will not consider interventions that influence vaccination. |
Comparison | No control was selected for this review. | Not applicable. |
Outcomes | Determinants of vaccine uptake in migrant populations. | Not applicable. |
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Al Janabi, T.; Petrillo, G.; Chung, S.; Pino, M. Predictors of Vaccine Uptake among Migrants in the United States: A Rapid Systematic Review. Epidemiologia 2022, 3, 465-481. https://doi.org/10.3390/epidemiologia3040035
Al Janabi T, Petrillo G, Chung S, Pino M. Predictors of Vaccine Uptake among Migrants in the United States: A Rapid Systematic Review. Epidemiologia. 2022; 3(4):465-481. https://doi.org/10.3390/epidemiologia3040035
Chicago/Turabian StyleAl Janabi, Taysir, Gianna Petrillo, Sunny Chung, and Maria Pino. 2022. "Predictors of Vaccine Uptake among Migrants in the United States: A Rapid Systematic Review" Epidemiologia 3, no. 4: 465-481. https://doi.org/10.3390/epidemiologia3040035
APA StyleAl Janabi, T., Petrillo, G., Chung, S., & Pino, M. (2022). Predictors of Vaccine Uptake among Migrants in the United States: A Rapid Systematic Review. Epidemiologia, 3(4), 465-481. https://doi.org/10.3390/epidemiologia3040035