Table 1.
Authors/Year/Country 1 | Journal | Title | Main Results |
---|---|---|---|
Haas et al. [15]/2016/USA | Cancer | Disparities in the Use of Screening Magnetic Resonance Imaging (MRI) of the Breast in Community Practice by Race, Ethnicity, and Socioeconomic Status | Among patients with a lower risk of developing breast cancer (<20%), non-Hispanic white women were 62% more likely than nonwhite women to undergo MRI (95% CI [1.32–1.98]). Of these, those with higher levels of education (43%), and especially those with academic degrees (132%), were more likely to receive MRI. |
Elewonibi et al. [16]/2018/USA | Journal of Immigrant and Minority Health |
Examining Mammography Use by Breast Cancer Risk, Race, Nativity, and Socioeconomic Status | Being a foreigner is an independent factor that decreases the probability of receiving a mammogram by about 10% (OR: 0.904, p < 0.05). If the variables of socioeconomic status and social resources are added as controls, higher levels are related to higher probability of mammography. |
Shon et al. [17]/2019/USA | PLoS ONE | Predictors of never having a mammogram among Chinese, Vietnamese, and Korean immigrant women in the U.S. |
The odds of never having had a mammogram were higher in Korean women (OR: 1.80, 95% CI [1–3.22]), unmarried women (OR: 1.74, 95% CI [1.08–2.82]) and non-US citizens (OR 2.56, 95% CI [1.44–4.55]). Conversely, they were lower in women aged 50–59 (OR:0.37, 95% CI [0.15–0.89]) and 60–69 years (OR: 0.36, 95% CI [0.17–0.75]) compared with those aged 70–85 years. |
Henderson et al. [18]/2020/USA | Journal of Women’s Health |
The Role of Social Determinants of Health in Self-Reported Access to Health Care Among Women Undergoing Screening Mammography | Compared with white women, more barriers were reported among Black (OR: 1.30) and Hispanic (OR:1.66) women. They were also higher in areas with a high diversity index (OR: 1.28), where they were lower among women with moderate (OR: 0.69) or high incomes (OR: 0.85). |
Lee et al. [19]/2021/USA | JAMA Network Open |
Comparative Access to and Use of Digital Breast Tomosynthesis (DBT) Screening by Women’s Race/Ethnicity and Socioeconomic Status | Black women experienced lower DBT use (RR: 0.83) compared with white women (RR: 0.98); also, women with lower educational attainment (RR: 0.79–0.88) and lower income (RR 0.89) had lower use relative to educated women (RR: 0.90–0.96) and those with the highest income (RR: 0.99). |
Warnecke et al. [20]/2021/USA | Cancer Epidemiology, Biomarkers and Prevention |
Multilevel Examination of Health Disparity: The Role of Policy Implementation in Neighbourhood Context, in Patient Resources, and in Healthcare Facilities on Later Stage of Breast Cancer Diagnosis | After adjusting for setting, mode of detection and resources, no significant differences were found in the late diagnosis of breast cancer among non-Hispanic Black and Hispanic women compared with non-Hispanic white women. |
Gibbons J. [21]/2021/USA | Race and Social Problems |
Neighbourhood Racial/Ethnic Composition and Medical Discrimination’s Relation to Mammograms: A Philadelphia Case Study | Black and Hispanic women were 5 times more likely to have experienced discrimination (11.3% and 11.2%, respectively) than white women (2.2%). Those who had access problems owing to transportation were 26.4% less likely to attend a screening, while those with private insurance were 323.2% more likely. |
Cullerton et al. [22]/2016/Australia | Health Promotion Journal of Australia |
Cancer screening education: can it change knowledge and attitudes among culturally and linguistically diverse communities in Queensland, Australia? | After education sessions, a decrease of 5% (p = 0.04) in the lack of knowledge about breast screening was observed. Likewise, after the session, there was an improvement in the ability to identify the correct age to start screening (14.8% presession vs. 37.7% postsession) and the frequency of screening (39.3% vs. 90.2). |
Molina et al. [23]/2017/USA | Journal of Racial and Ethnic Health Disparities |
Neighbourhood predictors of mammography barriers among US-based Latinas | The proportion of women who reported sociocultural, economic and lack of knowledge reasons for not having undergone mammography were 0.19, 0.31 and 0.35, respectively. Women residing in areas with a lower concentration of Latinos less frequently reported economic and lack of knowledge reasons (p < 0.05). |
Kim et al. [24]/2018/USA | Cancer | Gendered and Racialized Social Expectations, Barriers, and Delayed Breast Cancer Diagnosis | Women who identified barriers were more likely to receive follow-up mammography screening (31.2% vs. 48.4%, p < 0.01). Black women (prediction value 1.91, p < 0.01), those exhibiting distrust (prediction value 0.92, p < 0.01) and those living in poverty (prediction value 4.69, p < 0.005) were less likely to report barriers. |
Jin et al. [25]/2019/USA | Ethnicity and Disease | Analyzing Factors of Breast Cancer Screening Adherence among Korean American Women Using Andersen’s Behavioral Model of Healthcare Services Utilization | Personal history of cancer (p = 0.0027), having undergone an annual health checkup (p < 0.0001), having health insurance (p = 0.0025), receiving a recommendation by healthcare personnel (p = 0.0027) and high level of English (p = 0.0021) are related to higher adherence to mammography. |
Lee et al. [19]/2019/USA | Journal of Evidence-Based Social Work |
Andersen’s Behavioral Model to Identify Correlates of Breast Cancer Screening Behaviors among Indigenous Women | Older women (OR: 1.116, p < 0.001), those with a family history of cancer (OR: 2.742, p < 0.05) and those with a school diploma (OR: 13.203, p < 0.01) or academic degree (OR: 6.750, p < 0.01) showed higher levels of mammography use. Those who had heard of the screening program also showed higher levels (OR: 36.250, p < 0.01). |
An et al. [26]/2020/USA | Journal of Immigrant and Minority Health |
Literacy of Breast Cancer and Screening Guideline in an Immigrant Group: Importance of Health Accessibility | Marital status of married (OR: 29.152, p < 0.01) and having undergone an annual health checkup (OR: 16.148, p < 0.05) is related to a higher level of awareness of breast cancer–screening programs. |
Chan et al. [27]/2021/Singapore | Frontiers in Oncology |
Cancer Screening Knowledge and Behavior in a Multi-Ethnic Asian Population: The Singapore Community Health Study |
Of the participants, only 35.1% claimed to have participated in a breast cancer–screening program. Participants with higher educational levels showed a 22% higher participation rate (aPR: 1.22, p < 0.032), as did those with high income by 7.1% (aPR: 1.71, p < 0.001). |
Orji et al. [28]/2021/USA | Cancer Causes and Control |
Racial disparities in routine health checkup and adherence to cancer screening guidelines among women in the United States of America |
Women who had received an annual health examination were more likely to participate in cervical (OR: 3.24, p < 0.05) and breast (OR: 5.86, p < 0.05) cancer–screening programs, compared with those who did not receive screening—with the exception of Hispanic women, in whom this relationship was not observed. |
Hong et al. [29]/2018/USA | BMC Women’s Health | Factors affecting trust in healthcare among middle-aged to older Korean American women | A longer stay in the US increases the level of trust in the health system (p < 0.001). The feeling of discrimination causes distrust in the health system (p < 0.001). Acculturation was related to a higher level of trust in healthcare providers (p = 0.002). |
Agrawal et al. [30]/2021/USA | Int. Journal of Environmental Research and Public Health |
Factors Associated with Breast Cancer Screening Adherence among Church-Going African American Women | Older age (OR: 1.015), having health insurance (OR: 2.388), having a good doctor–patient relationship (OR: 1.485) and having a previous diagnosis of cancer (OR: 2.244) were associated with a higher level of adherence. |
1 The studies are listed organized by year of publication and main focused topic: (i) race and/or ethnicity and/or foreign nationality (the first 6), (ii) low educational level (the middle 8) and (iii) medical mistrust (the last 2).