| Literature DB >> 32477432 |
Ali A Al-Jumaili1, Kawther K Ahmed2, Dave Koch3.
Abstract
OBJECTIVE: To identify barriers to healthcare access, to assess the health literacy levels of the foreign-born Arabic speaking population in Iowa, USA and to measure their prevalence of seeking preventive healthcare services.Entities:
Keywords: Communication Barriers; Cultural Competency; Focus Groups; Health Literacy; Health Services Accessibility; Medically Uninsured; Preventive Health Services; Surveys and Questionnaires; United States
Year: 2020 PMID: 32477432 PMCID: PMC7243745 DOI: 10.18549/PharmPract.2020.2.1809
Source DB: PubMed Journal: Pharm Pract (Granada) ISSN: 1885-642X
Figure 1The Andersen model of preventive health care utilization
The demographics and health literacy of native Arabic speaking participants
| Characteristics | Number of participants (N) | % |
|---|---|---|
| Residency status (N=196) | ||
| Citizen | 68 | 34.7 |
| Permanent resident | 92 | 46.9 |
| Student | 23 | 11.7 |
| Visitor | 13 | 6.6 |
| Gender (N=196) | ||
| Male | 119 | 60.7 |
| Female | 75 | 38.3 |
| Age (years) (N=193) | ||
| 18-29 | 33 | 16.8 |
| 30-39 | 67 | 34.2 |
| 40-49 | 51 | 26 |
| 50 + | 42 | 21.4 |
| Education degree (N=194) | ||
| Elementary school | 7 | 3.6 |
| Middle school | 13 | 6.6 |
| High school | 28 | 14.3 |
| College degree | 103 | 52.6 |
| Graduate degree | 43 | 21.9 |
| Current or former student at a US college (N=194) | ||
| Yes | 114 | 58.2 |
| No | 80 | 40.8 |
| Ethnicity (country of origin) (N=195) | ||
| Sudanese | 131 | 66.8 |
| Middle East | 37 | 18.9 |
| North Africa | 20 | 10.2 |
| Arabic-Gulf country | 7 | 3.6 |
| Residency years in the U.S. (N=196) | ||
| Less than 1 years | 26 | 13.3 |
| 1-5 years | 91 | 46.4 |
| 6-10 years | 28 | 14.3 |
| 11-15 years | 19 | 9.7 |
| More than 15 years | 32 | 16.3 |
| Single Item (SILS) health literacy Screener: Need help to read physician/pharmacist instructions (N=196) | ||
| Always | 24 | 12.2 |
| Often | 24 | 12.2 |
| Sometimes | 45 | 23 |
| Rarely | 21 | 10.7 |
| Never | 82 | 41.8 |
| Need an interpreter during hospital/clinic visits (N=196) | ||
| Always | 46 | 23.5 |
| Sometimes | 57 | 29.1 |
| Never | 93 | 47.4 |
Citizens/permanent residents=160 and students/visitors=36. Participants of Sudan ethnicity were separated from North Africa as Sudanese represent the largest component of the Arabic speaking minority in the study area. 131 are Sudanese, 23 from Middle East and 17 of them are Iraqis and 6 from Levant. All the 14 students from Middle East are Iraqis. North African Arabic countries include Egypt, Libya, Algeria, Tunisia & Morocco; Middle Eastern Arabic countries include Iraq, Jordan, Syria and Lebanon; Gulf-Arabic countries include Saudi Arabia and United Arab Emirates.
The frequency and barriers of healthcare access of native Arabic speaking participants
| Characteristics | Num. | % |
|---|---|---|
| Having Health insurance (N=196) | ||
| No | 74 | 37.7 |
| High Co-payment (N=196) | ||
| Yes | 25 | 12.8 |
| Having language barrier (N=196) | ||
| Yes | 31 | 15.8 |
| Having barrier(s) to healthcare access (N=196) | ||
| Yes | 84 | 42.9 |
| Have a family member helps in interpretation during physician/ pharmacy visits (N=196) | ||
| No | 76 | 38.8 |
| Sometimes | 25 | 12.8 |
| Yes | 48 | 24.5 |
| No need | 47 | 24 |
| Medicaid | 52 | 26.5 |
| Employer/University | 47 | 24 |
| Private | 15 | 7.7 |
| Medicare | 8 | 4.1 |
| Visit doctor/clinic (N=196) | ||
| At Regular basis/For Preventive measures | 93 | 47.4 |
| When very ill/ To get prescription | 103 | 52.6 |
| DM | 22 | 11.2 |
| Hypertension | 30 | 15.3 |
| Heart Disease(s) | 7 | 3.6 |
| Asthma | 11 | 5.6 |
| Arthritis | 19 | 9.7 |
| No chronic disease | 132 | 67.3 |
One resident was dual Medicaid and Medicare insured, while other participant did not specify his type of health insurance.
N=122 because several participants had multiple chronic diseases.
Factors influencing visiting doctor/clinic regularly
| Factors (total num.) | Regular visit n (%) | Chi-square p-value |
|---|---|---|
| No health insurance | 0.0001 | |
| No (122) | 79 (64.8) | |
| Yes (74) | 14 (18.9) | |
| Language barrier | 0.781 | |
| No (165) | 79 (47.9) | |
| Yes (31) | 14 (45.2) | |
| Gender | 0.473 | |
| Male (119) | 54 (45.4) | |
| Female (75) | 38 (50.7) | |
| 0.0001 | ||
| ≤ 5 (117) | 42 (35.9) | |
| 5 < (79) | 51 (64.6) | |
| Ethnicity | 0.735 | |
| 31 (49.2) | ||
| Sudanese (133) | 62 (46.6) | |
| Chronic disease | 0.003 | |
| With (64) | 40 (62.5) | |
| Without (132) | 53 (40.2) | |
| 0.542 | ||
| Inadequate (93) | 42 (45.2) | |
| Adequate (103) | 51 (49.5) |
Years of residency in the US: 1=5 years or less, 2=more than 5 years.
Others: North African Arabic, Middle-Eastern Arabic, Yemeni and Gulf-Arabic participants.
Adequate health literacy=those answered “never or rarely” to the SILS question, while inadequate health literacy=those answered “always, often or sometimes” to the SILS question.
Relationship between health literacy level and hospital interpreter need, language barrier and health insurance
| Variable (total num.) | Adequate SILS n (%) | Chi-square p-value |
|---|---|---|
| Interpreter need | 0.0001 | |
| Never (93) | 84 (90.3) | |
| Sometimes/Always (103) | 19 (18.4) | |
| Language barrier | 0.0001 | |
| No (165) | 102 (61.8) | |
| Yes (31) | 1 (3.2) | |
| Health insurance | 0.0001 | |
| Yes (123) | 45 (36.6) | |
| No (73) | 48 (65.8) | |
| Years in the US | 0.017 | |
| <5 (164) | 84 (51.2) | |
| 5≤ (32) | 9 (28.1) |
Significant relationship (p<0.05)
SILS=Single Item Literacy Screener.