Hostname: page-component-7b7567c8c-fvjsw Total loading time: 0 Render date: 2026-11-15T01:41:09.699Z Has data issue: false hasContentIssue false
  • English
  • Français

Understanding refugee and immigrant health literacy and beliefs toward antimicrobial resistance

Published online by Cambridge University Press:  18 October 2023

Joseph Ladines-LimOpen the ORCID record for Joseph Ladines-Lim[Opens in a new window],
Elizabeth Scruggs-WodkowskiOpen the ORCID record for Elizabeth Scruggs-Wodkowski[Opens in a new window],
Tessa Adžemović,
Rachel Croxton,
Ron Romero,
Michael Lukela,
Krishna Rao,
Preeti MehrotraOpen the ORCID record for Preeti Mehrotra[Opens in a new window] and
Payal K. Patel
Joseph Ladines-Lim*
Affiliation:
Departments of Internal Medicine and Pediatrics, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
Elizabeth Scruggs-Wodkowski
Affiliation:
Division of Infectious Diseases, University of Michigan, Michigan Medicine, University Hospital South F4012A, Ann Arbor, MI, USA
Tessa Adžemović
Affiliation:
Departments of Internal Medicine and Pediatrics, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
Rachel Croxton
Affiliation:
University of Michigan Medical School, Ann Arbor, MI, USA
Ron Romero
Affiliation:
Packard Health, Ann Arbor, MI, USA
Michael Lukela
Affiliation:
Departments of Internal Medicine and Pediatrics, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
Krishna Rao
Affiliation:
Division of Infectious Diseases, University of Michigan, Michigan Medicine, University Hospital South F4012A, Ann Arbor, MI, USA
Preeti Mehrotra
Affiliation:
Silverman Institute for Health Care Quality and Safety and Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Boston, MA, USA
Payal K. Patel
Affiliation:
Intermountain Medical Center – Infectious Disease, Murray, UT, USA
*
Corresponding author: Joseph Ladines-Lim; Email: ladinesl@med.umich.edu

Abstract

Refugee and migrant populations have increased vulnerability to antimicrobial resistance, yet stewardship guidance is lacking. We addressed this gap through a cross-sectional survey, finding that these populations and immigrants from low and middle-income countries had lower health literacy on the issue compared to native-born Americans and those from high-income countries.

Information

Type
Concise Communication
Information
Antimicrobial Stewardship & Healthcare Epidemiology , Volume 3 , Issue 1 , 2023, e175
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Introduction

Antimicrobial resistance (AMR) is a global health threat with higher prevalence in migrant and refugee populations, Reference Maltezou, Theodoridou and Daikos1,Reference Desai, Mohareb, Hauser and Abbara2 yet public health agencies have provided little guidance on stewardship interventions to counter this threat. Reference Patel, Mehrotra and Ladines-Lim3 Past research has focused on encampment areas or other countries abroad with little attention in the United States (US). Furthermore, poor health literacy regarding antibiotic use has been shown to be associated with inappropriate antibiotic use, Reference Céspedes and Larson4,Reference Halls, Van’T Hoff, Little, Verheij and Leydon5 which contributes to AMR and is hence a key research need we have highlighted previously in refugee populations. Reference Patel, Mehrotra and Ladines-Lim3

Therefore, we aimed to assess health literacy in appropriate antibiotic use and AMR in patients with history of refugeeism, asylum-seeking, or immigration from low and middle-income countries (LMICs) in the US. We hypothesized that this target population had gaps in health literacy compared with native-born Americans and those from high-income countries (HICs). Regarding health literacy, we focused on appropriate antibiotic use in the context of pediatric respiratory infections, a setting in which inappropriate antibiotic use is common. Reference Halls, Van’T Hoff, Little, Verheij and Leydon5

Methods

From November 1, 2022 to March 10, 2023, we implemented a cross-sectional 17-question anonymous survey derived from a previously validated questionnaire that focused on pediatric respiratory infections, a common problem in stewardship. Reference Halls, Van’T Hoff, Little, Verheij and Leydon5,Reference Panagakou, Spyridis and Papaevangelou6 We used convenience sampling, distributing this on paper to anyone 18 years or older at three primary care clinics in Southeastern Michigan with generally higher proportions of refugee/asylee/immigrant populations. Other participants could access the same survey electronically through Qualtrics and umhealthresearch.org (https://UMHealthResearch.org/#studies/HUM00216788), a Michigan Medicine website that allows anonymous users to participate. To incentivize participation, we offered in-person participants an optional gift card of modest value ($5); due to technical constraints, we did not offer this online.

We collected demographic information, including history of past refugeeism/asylum-seeking/immigration, country of origin, age group, duration of residence in the US, gender, educational level, English ability, and income (categorized as below 100% of federal poverty level for household of four, between 100% and 185%, and above 185%). 7 Based on responses, we categorized participants into three groups: former refugees/asylees, non-refugee/asylee immigrants from LMICs (“Immigrant-LMIC”), or those from the US or HICs (“US/HIC”) as classified by the World Bank.

We assessed health literacy using eight 5-point Likert scale questions on pediatric respiratory infections given known inappropriate antibiotic use in this setting. Reference Halls, Van’T Hoff, Little, Verheij and Leydon5 Because clinics requested we minimize survey burden for patients due to time constraints, we included only questions that could reasonably fit on one page, omitting others. Reference Panagakou, Spyridis and Papaevangelou6 We provided verified translations of the questionnaire in Albanian, Amharic, Arabic, Burmese, Cebuano, Dari, Farsi, French, Hausa, Hindi, Kinyarwanda, Pashto, Portuguese, Punjabi, Russian, Somali, Spanish, Swahili, Tagalog, Tigrinya, Ukrainian, Urdu, Vietnamese, and Yoruba. The Institutional Review Boards of the University of Michigan Medical School and Trinity Health deemed the study exempt.

We used χ2 and Wilcoxon–Mann–Whitney tests where appropriate with p-values less than 0.05 significant. To account for likely covariance between Likert scales and avoid the multiple comparisons problem, we derived an overall health literacy score from binarized Likert scale responses. We assigned 1 point for preferred responses and 0 points otherwise, summing these to generate the overall score (maximum of 8 points). Treating site of data collection as a randomized variable in a mixed model, we used multivariable linear regression to identify variables independently associated with the overall health literacy score, with p-values less than 0.1 significant. We treated variables with more than two categories as ordinal rather than continuous to avoid assumptions of a continuous linear association with the health literacy score. We excluded any surveys lacking any response from regression. We used R version 4.2.3 (R Foundation for Statistical Computing, Vienna, Austria) for analysis.

Results

Our study had 280 participants from 40 different countries, with 18 in the “Former refugees/asylees” group, 92 in the “Immigrant-LMIC” group, and 170 in the “US/HIC” group. Given the first group’s limited size and statistical power, as well as the general similarity in demographics between the first two groups (Table 1), we aggregated these into a “Refugees/asylees/immigrant-LMIC” group for comparison with the “US/HIC” group. Participants answered most questions with the lowest completion rate being the “Former refugees/asylees” group and household income question at 72%.

Table 1.

Demographic characteristics of former refugees/asylees, former immigrants from low and middle-income countries (“Immigrant-LMIC”), and those from the United States and high-income countries (“US/HIC”). Data for aggregation of former refugees/asylees and the immigrant-LMIC group, designated as the “Refugees/asylees/immigrant-LMIC” group, are also shown. All data are expressed as percentages. Total sample sizes for each group are shown in parentheses in the top row. Total number of responses for each demographic variable/group is also shown throughout. P-values reflect χ2 or Wilcoxon–Mann–Whitney tests where appropriate

Age distribution did not differ between the two main groups, while duration of residence in the US did with most of the “Refugees/asylees/immigrant-LMIC” group having resided between 0 and 10 years (Table 1), nearly half between 0 and 2 years. We found significant differences in other demographics except for gender proportion, with the “Refugees/asylees/immigrant-LMIC” group reporting higher prevalence of poverty, lower education, and lower English ability (Table 1). Excluding 35% of the surveys due to at least one missing response, multivariable linear regression revealed that female gender, educational level, age, and the “US/HIC” group compared to the “Refugees/asylees/immigrant-LMIC” group were independently associated with increased overall health literacy (Figure 1).

Figure 1.

Estimated effect size of demographic variables on overall health literacy score for the refugee/asylee/immigrant-LMIC and US/HIC groups derived from multivariable linear regression. The “Refugee/asylee/immigrant-LMIC” group included participants who identified as former refugees, asylees, or immigrants from low or middle-income countries. The “US/HIC” group included participants who identified as from the United States or high-income countries. World Bank classifications were used for country income status. A positive change in the overall health literacy score indicated more clinically preferred responses while a negative change indicated fewer. End points of lines represent lower and upper limits of 95% confidence intervals.

Discussion

Our study showed former refugees/asylees/immigrants from LMICs had gaps in knowledge of appropriate antibiotic use and AMR compared to native-born Americans or those from HICs. While other related research has been conducted in various encampment areas abroad, Reference Patel, Mehrotra and Ladines-Lim3 our study is unique in its assessment of this population resettled in the US. Most strikingly, history of refugeeism/asylum-seeking/immigration from an LMIC most strongly correlated with lower health literacy, independent of other demographic variables. This may be due to other factors our survey did not capture that are likely significant components of the immigrant/refugee experience. Given the association between health literacy in this domain and inappropriate antibiotic use established in past work, Reference Céspedes and Larson4,Reference Halls, Van’T Hoff, Little, Verheij and Leydon5 our findings suggest this population is at increased risk of inappropriate antibiotic use promoting AMR.

Interestingly, other variables independently correlated with greater health literacy, including female gender, age, and educational level. While education intuitively correlates with health literacy, we did not expect female gender and age necessarily to do so, though the latter’s effect size was small. Female gender had a more pronounced effect, a unique though plausible finding given past work demonstrating gendered differences regarding views on AMR due to traditional cultural expectations for childcare. Reference Morgan, Waldman and Smith8 Regardless, we feel this requires further investigation and agree with the World Health Organization’s call for a focus on gender in combatting AMR. 9

We acknowledge our study’s limitations. While our sample size enabled statistically meaningful comparisons, it is still a fraction of our target populations, meaning a larger sample size could reveal different trends. Sample sizes of individual countries (except the US) and geographic regions were also limited, precluding any comparative analysis. We also did not address all possible social and demographic factors that could plausibly impact health literacy, such as number of household children, due to the desire to minimize survey burden on participants. There was also some degree of bias due to incomplete responses, recall bias, and selection bias given our decision to make the survey available to the general public online.

Nonetheless, we hope our findings will be useful in producing an educational intervention with translations to native languages so as to overcome potential cultural barriers that have hindered past stewardship efforts, Reference Bozzella, Harik, Newland and Hamdy10 such as mistrust of the US providers. Reference Céspedes and Larson4 This is currently the next phase of our work in the target population, which, if shown to improve understanding of appropriate antibiotic use and related outcomes, could serve as a template for future interventions regarding antimicrobial stewardship in refugees and immigrants, particularly those recently resettled in the US.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/ash.2023.443.

Acknowledgments

We are grateful to Barbara Soyster, Martha Kershaw, Ann Marie Peterson, and other staff at Hope Clinic for accommodating our research team at Hope Clinic sites. We also thank Sara Platte and other staff at Neighborhood Family Health Center for allowing our team to collect data in their clinic. We are grateful to staff at Packard Health as well for facilitating data collection at their site. We thank Michele Heisler and Russell Morton for helpful discussions regarding the conception of this work, the survey instrument, and different statistical approaches. Finally, we are grateful to the Pediatric Infectious Disease Society for support with an Antimicrobial Stewardship Fellowship Award.

Author contribution

JLL was responsible for conceptualization of the project. JLL and PP were responsible for funding acquisition. JLL, PP, PM, TA, and RC were responsible for developing methodology for data collection; JLL, TA, RC, ESW, and RR were responsible for monitoring data collection. JLL was responsible for data curation. JLL and KR were responsible for use of software and formal analysis. JLL, PP, PM, and KR were responsible for overall supervision. JLL and ESW were responsible for writing the original draft. All authors were responsible for review and editing of the final manuscript draft.

Financial support

This study was supported by funding from Blue Cross and Blue Shield of Michigan Foundation through the Physician Investigator Research Award Program (grant no. 2022040061. PIRAP to JLL) as well as the National Med-Peds Residents’ Association through a research grant to JLL.

Competing interests

All authors report no conflicts of interest relevant to this article.

Research transparency and reproducibility

None.

References

Maltezou, HC, Theodoridou, M, Daikos, GL. Antimicrobial resistance and the current refugee crisis. J Glob Antimicrob Resist 2017;10:75–79.10.1016/j.jgar.2017.03.013CrossRefGoogle ScholarPubMed
Desai, AN, Mohareb, AM, Hauser, N, Abbara, A. Antimicrobial resistance and human mobility. Infect Drug Resist 2022;15:127–133.10.2147/IDR.S305078CrossRefGoogle ScholarPubMed
Patel, PK, Mehrotra, P, Ladines-Lim, JB. An opportunity for global antimicrobial stewardship research: Refugee populations. Antimicrob Stewardship Healthc Epidemiol 2022;2(1):e23.10.1017/ash.2022.8CrossRefGoogle ScholarPubMed
Céspedes, A, Larson, E. Knowledge, attitudes, and practices regarding antibiotic use among Latinos in the United States: Review and recommendations. Am J Infect Control 2006;34(8):495–502.10.1016/j.ajic.2006.01.005CrossRefGoogle ScholarPubMed
Halls, A, Van’T Hoff, C, Little, P, Verheij, T, Leydon, GM. Qualitative interview study of parents’ perspectives, concerns and experiences of the management of lower respiratory tract infections in children in primary care. BMJ Open 2017;7(9):e015701.10.1136/bmjopen-2016-015701CrossRefGoogle ScholarPubMed
Panagakou, SG, Spyridis, N, Papaevangelou, V, et al. Antibiotic use for upper respiratory tract infections in children: A cross-sectional survey of knowledge, attitudes, and practices (KAP) of parents in Greece. BMC Pediatr 2011;11(1):1–10.10.1186/1471-2431-11-60CrossRefGoogle ScholarPubMed
Department of Health and Human Services. Annual update of the HHS poverty guidelines. Fed Regist 2022;87(14):3315–3316.Google Scholar
Morgan, R, Waldman, L, Smith, J, et al. Gender and antimicrobial resistance: What can we learn from applying a gendered lens to data analysis using a participatory arts case study? Front Glob Womens Health 2022;3:745862–745862.Google Scholar
World Health Organization Regional Office for Europe. The Fight Against Antimicrobial Resistance Requires a Focus on Gender. World Health Organization Regional Office for Europe; 2022.Google Scholar
Bozzella, MJ, Harik, N, Newland, JG, Hamdy, RF. From paper to practice: Strategies for improving antibiotic stewardship in the pediatric ambulatory setting. Curr Probl Pediatr Adolesc Health Care 2018;48(11):289–305.10.1016/j.cppeds.2018.09.003CrossRefGoogle ScholarPubMed
Figure 0

Table 1.Demographic characteristics of former refugees/asylees, former immigrants from low and middle-income countries (“Immigrant-LMIC”), and those from the United States and high-income countries (“US/HIC”). Data for aggregation of former refugees/asylees and the immigrant-LMIC group, designated as the “Refugees/asylees/immigrant-LMIC” group, are also shown. All data are expressed as percentages. Total sample sizes for each group are shown in parentheses in the top row. Total number of responses for each demographic variable/group is also shown throughout. P-values reflect χ2 or Wilcoxon–Mann–Whitney tests where appropriate

Figure 1

Figure 1.Estimated effect size of demographic variables on overall health literacy score for the refugee/asylee/immigrant-LMIC and US/HIC groups derived from multivariable linear regression. The “Refugee/asylee/immigrant-LMIC” group included participants who identified as former refugees, asylees, or immigrants from low or middle-income countries. The “US/HIC” group included participants who identified as from the United States or high-income countries. World Bank classifications were used for country income status. A positive change in the overall health literacy score indicated more clinically preferred responses while a negative change indicated fewer. End points of lines represent lower and upper limits of 95% confidence intervals.

Supplementary material: File

Ladines-Lim et al. supplementary material
Download undefined(File)
File 44.9 KB