Disparities in Health Care Utilization Between Asian Immigrant Women and Non-Hispanic White Women in the United States

Seo, Jin Young; Kuerban, Aliya; Bae, Sung Heui; Strauß, Simon

doi:10.1089/jwh.2018.7532

Cited by 13 publications

(5 citation statements)

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“…In contexts where use of preventative and/or biomedical services is limited or under-used by certain groups of individuals (e.g. rural populations, lower-income individuals, smokers and those without health insurance coverage) ( Azagba et al , 2013 ; Seo et al , 2019 ; Park and Kim, 2021 ; Shibre et al , 2021 ), the use of a clinic-based sample to represent the general population may be biased. Our sensitivity analyses found that this limitation may be minimal for the studies included in our review given there was little difference between estimates that included clinic-based studies compared to estimates restricted to the general population studies only.…”

Section: Discussionmentioning

confidence: 99%

Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis

Cox

Thoma

Tchangalova

et al. 2022

Human Reproduction Open

133

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STUDY QUESTIONS What is the contemporary prevalence of infertility in world populations and how do they differ by methodological and study characteristics? SUMMARY ANSWER Pooled estimates of lifetime and period prevalence of 12-month infertility were 17.5% and 12.6%, respectively, but this varied by study population and methodological approach. WHAT IS KNOWN ALREADY Infertility affects millions of individuals worldwide. Accurate measures of its magnitude are needed to effectively address and manage the condition. There are distinct challenges and variation in how infertility is defined and measured, limiting comparability of estimates across studies. Further research is needed to understand whether and how differences in methodological approaches and study characteristics account for heterogeneity in estimates. STUDY DESIGN, SIZE, DURATION We conducted a systematic review and meta-analysis. Six electronic databases, websites of relevant organizations, and conference proceedings were systematically searched. Searches were limited to those published between January 1, 1990 and March 11, 2021, with no language restrictions. PARTICIPANTS/MATERIALS, SETTING, METHODS Descriptive and random-effects meta-analysis models were used to examine range of estimates and generate estimates of pooled lifetime and period prevalence of 12-month infertility, respectively, among representative populations. Meta-regression using restricted maximum likelihood was applied to account for definitional and study characteristics and to obtain adjusted estimates. Risk of bias was assessed with a validated tool. MAIN RESULTS AND THE ROLE OF CHANCE The search yielded 12,241 unique records of which 133 studies met the criteria for the systematic review. There were 65 and 69 studies that provided data for lifetime and period prevalence of 12-month infertility, respectively. Five methodological approaches were identified: prospective time-to-pregnancy design (TTP), current duration design, retrospective TTP design, self-reported infertility measure, and constructed infertility measure. Ranges for lifetime (3.3 - 39.7%) and period estimates (1.6 - 34.0%) were similar and wide even after accounting for methodological and study characteristics. Pooled estimates of lifetime and period prevalence were 17.5% (95% CI: 15.0, 20.3, n = 37 studies, I2 = 99.5%) and 12.6% (95% CI: 10.7, 14.6, n = 43 studies, I2 = 99.8%), respectively, with some variation in magnitude by region and methodological approach, but with most confidence intervals overlapping. LIMITATIONS, REASONS FOR CAUTION Pooled estimates generated from meta-analysis were derived from 12-month infertility prevalence estimates that were heterogeneous across different domains, even after adjusting for definitional and study characteristics. The number of studies was small for certain strata from which pooled estimates were derived (e.g., there were only two studies for lifetime prevalence in Africa). WIDER IMPLICATIONS OF THE FINDINGS While findings show a high prevalence of infertility globally and regionally, it also reveals variation in measures to ascertain and compare infertility prevalence. More systematic and comprehensive collection of data using a consistent definition is needed to improve infertility prevalence estimates at global, regional and country-levels. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the World Health Organization. The authors have no conflicts of interest. REGISTRATION NUMBER PROSPERO CRD42020211704

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Section: Discussionmentioning

confidence: 99%

Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis

Cox

Thoma

Tchangalova

et al. 2022

Human Reproduction Open

133

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“…However, the utilization rate of medical resources of migrant residents with chronic diseases was still relatively low, as confirmed by many studies. The California Health Interview Survey results also showed that immigrants have lower levels of health service utilization and fewer health care visits [ 2 ]. A study of 100 Latino immigrants residing in Tennessee reported that females, immigrants who are not married/cohabiting, and those who reported experiencing a greater number of discrete stressors in the USA each reported lower levels of social support [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

“…Immigrants usually face significant stress across the entire migration period. There are some studies on Latino immigrants showing that each phase of the migration process—premigration, during migration and after migration—has unique risks that may differentially affect the mental health outcomes of immigrants [ 1 , 2 ]. During the premigration process, immigrants may be forced to migrate by factors beyond their control.…”

Section: Introductionmentioning

confidence: 99%

Mental Health and its Influencing Factors Among Immigrants with Chronic Diseases in China

Jia

Nie

et al. 2022

J Immigrant Minority Health

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Immigrants are a special group in society, and their health is of great concern. Few studies have targeted this population in China. A cross-sectional descriptive correlational study was conducted from July to August 2018 in Hubei Province, China. Chi-square tests, Z-tests and multivariable linear regression analysis were performed to analyze the data using SPSS 24.0. A total of 1068 questionnaires were distributed. The results showed that the variables that affected the mental health of the immigrants with chronic diseases included gender, annual income, life events (L), negative emotion (NE), negative coping styles (NC) and objective support (OS) (p ≤ 0.05). Future research should focus on the physical and mental health of different immigrant groups and design effective, individualized interventions to improve the health status of immigrants, especially those with chronic diseases.

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“…Health care access and health care utilization in Asian individuals may be hindered, for instance, by language barriers, limited digital access, lack of ethnolinguistically concordant health care providers, preferences for non-Western traditional treatment approaches, and/or cultural differences in health care beliefs, behaviors, and practices. At least one study has observed that Asian immigrants utilize women's health care services at lower rates than non-Hispanic White persons [25]. Indeed, immigrants form a markedly higher percentage of the US adult Asian population (71%) compared to the general US adult population (17%) [26].…”

Section: Discussionmentioning

confidence: 99%

Racial/Ethnic, Biomedical, and Sociodemographic Risk Factors for COVID-19 Positivity and Hospitalization in the San Francisco Bay Area

Cho

Hwang

2022

Preprint

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BACKGROUNDThe COVID-19 pandemic has uncovered clinically meaningful racial/ethnic disparities in COVID-19-related health outcomes. Current understanding of the basis for such an observation remains incomplete, with both biomedical and social/contextual variables proposed as potential factors.PURPOSEUsing a logistic regression model, we examined the relative contributions of race/ethnicity, biomedical, and socioeconomic factors to COVID-19 test positivity and hospitalization rates in a large academic health care system in the San Francisco Bay Area prior to the advent of vaccination and other pharmaceutical interventions for COVID-19.RESULTSWhereas socioeconomic factors, particularly those contributing to increased social vulnerability, were associated with test positivity for COVID-19, biomedical factors and disease co-morbidities were the major factors associated with increased risk of COVID-19 hospitalization. Hispanic individuals had a higher rate of COVID-19 positivity, while Asian persons had higher rates of COVID-19 hospitalization. Diabetes was an important risk factor for COVID-19 hospitalization, particularly among Asian patients, for whom diabetes tended to be more frequently undiagnosed and higher in severity.CONCLUSIONSWe observed that biomedical, racial/ethnic, and socioeconomic factors all contributed in varying but distinct ways to COVID-19 test positivity and hospitalization rates in a large, multiracial, socioeconomically diverse metropolitan area of the United States. The impact of a number of these factors differed according to race/ethnicity. Improving over-all COVID-19 health outcomes and addressing racial and ethnic disparities in COVID-19 out-comes will likely require a comprehensive approach that incorporates strategies that target both individual-specific and group contextual factors.

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Disparities in Health Care Utilization Between Asian Immigrant Women and Non-Hispanic White Women in the United States

Cited by 13 publications

References 57 publications

Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis

Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis

Mental Health and its Influencing Factors Among Immigrants with Chronic Diseases in China

Racial/Ethnic, Biomedical, and Sociodemographic Risk Factors for COVID-19 Positivity and Hospitalization in the San Francisco Bay Area

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