A Systematic Review of Datasets to Research the Effect of Policy and Place on Immigrant Health
Allen, C. D.
Show abstract
State and local immigrant policies--which regulate immigrants rights and access to services and material resources--shape self-rated health and health care access for Hispanic/Latino immigrants. However, due to data limitations, we know little about their impacts on non-Hispanic immigrants or on objective measures of health. To help researchers address these gaps, this systematic review creates a comprehensive resource indexing nationally-representative US datasets that can be used to measure the effects of policy and place on immigrant health. Following PRISMA guidelines, I searched ICPSR and federal data repositories for nationally-representative, population-based, longitudinal or repeated cross-sectional datasets that included health/health care access, race/ethnicity, and state or county of residence. I extracted information about race, ethnicity, migration, language, and geocodes in each dataset for each year, 2005-2021. Data searches (final search December 2021) identified 54 datasets, many of which have never been used to study the effects of policies on immigrant health. These data sources have unexploited potential to advance this literature. For example, longitudinal data sources will allow researchers to examine the effects of policies on the same individuals over time, while datasets with detailed measures of race/ethnicity and migration can be used to distinguish which immigrants are most impacted.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Time trends, factors associated with, and reasons for COVID-19 vaccine hesitancy in a massive online survey of US adults: January-May 2021 94%
- Strategies that make vaccination easy and promote autonomy could increase COVID-19 vaccination in those who remain hesitant 93%
- The COVID-19 health equity twindemic: Statewide epidemiologic trends of SARS-CoV-2 outcomes among racial minorities and in rural America 93%
Similar papers in this journal
- Intimate partner violence and its correlates in middle-aged and older adults during the COVID-19 pandemic: A multi-country secondary analysis 93%
- Predicting Mobile Health Clinic Utilization for COVID-19 Vaccination in South Carolina: A Statistical Framework for Strategic Resource Allocation 92%
- Listening to older voices: Results of a cross-sectional survey of older patient-reported experiences of facility-based healthcare in Nouna, Burkina Faso 91%
Similar papers in this journal
- Cumulative Social Disadvantage and Health-Related Quality of Life: National Health Interview Survey 2013-2017 94%
- Time trends in social contacts before and during the COVID-19 pandemic: the CONNECT study 92%
- Transition to Endemic: Acceptance of Additional COVID-19 Vaccine Doses Among Canadian Adults in A National Cross-Sectional Survey 92%
Similar papers in this journal
- Missing data and missed infections: Investigating racial and ethnic disparities in SARS-CoV-2 testing and infection rates in Holyoke, Massachusetts 92%
- Depression at the intersection of race/ethnicity, sex/gender, and sexual orientation in a nationally representative sample of US adults: A design-weighted MAIHDA 92%
- Social inequalities in COVID-19 deaths by area-level income: patterns over time and the mediating role of vaccination in a population of 11.2 million people in Ontario, Canada 92%
Similar papers in this journal
- Strategies to Estimate Prevalence of SARS-CoV-2 Antibodies in a Texas Vulnerable Population: Results from Phase I of the Texas Coronavirus Antibody REsponse Survey (TX CARES) 93%
- A Development and Implementation of a Preconception Counseling Program for Black Women and Men in the Southeastern United States: A Pilot Protocol 92%
- The Survey of the Health of Wisconsin (SHOW) Program: An infrastructure for Advancing Population Health Sciences 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.