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Measuring structural xenophobia: US State immigration policy climates over ten years

ABSTRACT: There is an increasing need to understand the structural drivers of immigrant health inequities, including xenophobic and racist policies at the state level in the United States. Databases aggregate state policies related to immigration and research using single year indices examines state policy and immigrant health. Yet none of these sources use a theoretically informed social determinants of immigrant health approach to consider state environments longitudinally, include both exclusionary and inclusionary policies, and are relevant to immigrants from any region of the world or ethnic group. Using an established social determinants of immigrant health framework, a measure of structural xenophobia was created using fourteen policies across five domains: access to public health benefits, higher education, labor and employment, driver's licenses and identification, and immigration enforcement over a ten-year period (2009–2019). To create the Immigration Policy Climate (IPC) index, we used data from state legislatures as well as policy databases from foundations, advocacy organizations, and scholarly articles. We identified and coded 714 US state policies across the 50 US States and the District of Columbia from 2009 to 2019. We calculated annual IPC index scores (range: 12 – 12) as a continuous measure (negative scores: exclusionary; positive scores: inclusionary). Results show that the US has an exclusionary immigration policy climate at the state-level (mean IPC score of −2.5). From 2009 to 2019, two-thirds of state-level immigration policies are exclusionary towards immigrants. About 75% of states experienced a 4-point change or less on the IPC index, and no state changed from largely exclusive to largely inclusive. By aggregating comprehensive, detailed data and a measure of state-level immigration policies over time, the IPC index provides population health researchers with rigorous evidence with which to assess structural xenophobia and an opportunity for longitudinal research on health inequities and immigrant health. Highlights • The Immigration Policy Climate (IPC) index is a state-level structural xenophobia measure.• From 2009 to 2019, two-thirds of US states are exclusionary towards immigrants.• No US state changed from largely exclusive to inclusive over the entire study period.• The IPC index can be leveraged for research on immigrant health and health inequities.

SUBMITTER: Samari G

PROVIDER: S-EPMC8503659 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Policy Points Although immigration policy is recognized as a social determinant of health, less is known about how mechanisms, such as news coverage of policy, influence intermediary and proximal health processes like seeking health care. The extent of news coverage of federal, state, and local exclusionary or integration immigration policies can influence public agendas regarding immigrant inclusion and exclusion. Exclusionary federal immigrant policies have dominated the news across the United States over the past ten years, despite active immigrant integration policymaking at national, state, and local levels.ContextImmigration policymaking at federal, state, and local levels in the United States has proliferated in the past decade. While evidence demonstrates that immigration policy is a determinant of health, there has been limited examination of the mechanisms by which policy influences proximal health processes. News coverage has served as a central platform for debates over restrictive and inclusive immigration policies and may constitute an important health mechanism by shaping public agendas, influencing support for immigrant exclusion or inclusion, and framing policy issues, thereby influencing immigrants' social climates. This study sought to examine the extent of news coverage of exclusionary and inclusive immigration policy at federal and state levels and variations in messages about immigrants during two periods of extensive policymaking.MethodsWe conducted a quantitative content analysis of newspapers' coverage of immigration policy between 2010 and 2013 and between 2017 and 2019. We conducted a systematic NewsBank search of articles covering legislation, lawsuits, and other policies related to immigration (n = 931). Articles were coded for policy type and level, positive or negative framing of immigrants, and other characteristics. Our analysis then compared the patterns of the two periods.ResultsIn both periods, the majority of coverage focused on exclusionary policies at the federal level, despite a significant increase in integration policies between 2017 and 2019. We found significant shifts in both the negative and positive framing of immigrants, from the dominant negative messages of immigrants as an economic drain to immigrants as criminals and the dominant positive messages of immigrants' economic contributions to immigrants as families.ConclusionsSince 2010, coverage of exclusionary federal policy has consistently dominated the news, as messages have increasingly described immigrants as either criminals or part of families. We discuss the health implications and future research directions of news coverages' role in influencing the immigration policy and social contexts that have been linked to health outcomes.

Project description:ObjectivesDoctors who wish to become general practitioners (GPs) in China are required to attend and complete general practice resident training. In the early stages of the standardized GP training system, GP training supervisors play important roles. This study aims to explore how GP residents perceive their GP supervisors, factors that affect GP residents' satisfaction level, as well as to offer suggestions based on the implications of this study.DesignWe conducted a mixed quantitative and qualitative study. Firstly, with respect to the quantitative research, we conducted a survey to investigate training satisfaction through questionnaires, then extracted and analyzed the factors that influence training satisfaction. In the qualitative study, we conducted in-depth, semistructured interviews using qualitative research criteria (COREQ)--a 32-item checklist for interviews.ParticipantsParticipants in the quantitative survey included 1172 GPs whose training time wasbetween 2008 and 2017. Afterwards, 100 participants were selected from this sample , filtered by stratified random sampling and by having provided extreme answers on the quantitative survey (less than 5% of the total sample). They were chosen for the qualitative research to conduct a more detailed investigation., This stratified random sampling was based on residents' grades, regions, and training levels (city level or county level). Extreme answers were identified as answers of "extremely good" or "extremely bad" to questions from the initial comprehensive survey of 1172 participants. Consequently, 30 participants with extreme answers were found, while the remaining 70 participants in the interviews were selected by stratified random sampling. Ultimately, this sample of participants met our information collection and sample estimation requirements.ResultsThe results show that satisfaction with GP theoretical training supervisors, GP hospital-based training supervisors, and GP community-based training supervisors differed. Considering long-term averages, the hierarchy of satisfaction is as follows: GP theoretical training supervisors > GP community-based training supervisors > GP hospital-based training supervisors. GP hospital-based training supervisors need to improve their conception of GPs, teaching methods and conscientiousness. GP community-based training supervisors need to improve their teaching methods, knowledge of clinical theory and practice ability.ConclusionsOn the one hand, teams of GP supervisors in China have gradually been established over time. On the other hand,the satisfaction tendencies of residents with respect to their GP supervisors are quite different, and teams of GP supervisors must be promoted and improved.

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Measuring structural xenophobia: US State immigration policy climates over ten years

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