| Literature DB >> 33964946 |
Haneen Shibli1, Limor Aharonson-Daniel2, Paula Feder-Bubis2,3.
Abstract
BACKGROUND: Access to healthcare services has major implications for vulnerable populations' health. Socio-cultural and gender characteristics shape the utilization and access of healthcare services among ethnic minorities worldwide. One such vulnerable ethnic minority is the Arab Bedouin women in Israel. As women, they are marginalized in their community, where women do not have full equity and they experience multiple barriers to healthcare services The main objective of this study is to provide a nuanced, experiential, emic description of healthcare accessibility issues among Bedouin women in Israel. Identifying the barriers, they face in accessing healthcare may help healthcare policymakers make changes based on and tailored to Bedouin women's needs.Entities:
Keywords: Arab; Bedouins; Cultural competency; Healthcare accessibility; Intersectionality; Minority; Qualitative research; Women
Year: 2021 PMID: 33964946 PMCID: PMC8106134 DOI: 10.1186/s12939-021-01464-9
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Sociodemographic characteristics of the study’s population
| Participant | Gender | Age | Marital status | Form of settlement | Education level | Socioeconomic status | Hebrew proficiencya |
|---|---|---|---|---|---|---|---|
| 1 | Male | 55 | Married | Recognized village | Academic degree | Above average | Very good |
| 2 | Female | 20 | Single | Recognized village | High school | Low | Good |
| 3 | Female | 19 | Single | Unrecognized village | High school | Low | Poor |
| 4 | Female | 23 | Single | Recognized village | Academic degree | Low | Very good |
| 5 | Female | 44 | Married | Recognized village | High school | Low | Very good |
| 6 | Female | 40 | Married | Recognized village | Partial high school | Low | Poor |
| 7 | Female | 70 | Widowed | Recognized village | No formal education | Low | None |
| 8 | Female | 21 | Single | Recognized village | High school | Low | Very good |
| 9 | Female | 44 | Married | Recognized village | Academic degree | Average | Very good |
| 10 | Female | 56 | Married | Recognized village | No formal education | Low | None |
| 11 | Female | 49 | Married | Recognized village | Partial high school | Low | Poor |
| 12 | Male | 30 | Married | Recognized village | No formal education | Low | Good |
| 13 | Male | 31 | Married | Recognized village | Academic degree | Low | Very good |
| 14 | Male | 25 | Single | Recognized village | Academic degree | Average | Very good |
| 15 | Female | 25 | Married | Recognized village | Academic degree | Average | Very good |
| 16 | Male | 48 | Married | Unrecognized village | Academic degree | Average | Very good |
| 17 | Male | 36 | Married | Recognized village | Academic degree | Average | Very good |
| 18 | Male | 45 | Married | Recognized village | Academic degree | Average | Very good |
| 19 | Female | 37 | Married | Recognized village | Academic degree | Average | Very good |
| 20 | Female | 55 | Married | Recognized village | No formal education | Low | None |
| 21 | Female | 30 | Single | Unrecognized village | Partial high school | Low | Poor |
aAccording to the participant’s self-report