| Literature DB >> 33264293 |
Dana Nabulsi1, Hussein Ismail1, Fida Abou Hassan1, Lea Sacca1, Gladys Honein-AbouHaidar1,2, Lamis Jomaa1,3.
Abstract
Lebanon has approximately one million Syrian refugees (SR) registered with the United Nations High Commission on Refugees (UNHCR) and an unknown number of unregistered SR, who cannot benefit from formal assistance. This study aimed to examine the livelihoods, coping strategies, and access to healthcare among SR based on registration status and accompanying formal assistance. A mixed-method approach with more emphasis on the qualitative design was adopted. A purposive convenient sampling approach was used to recruit SR from informal tented settlements (ITS) in the Beqaa region in Lebanon. Data collection included 19 focus group discussions (FGDs) that were conducted with participants, who were further divided into three groups: registered refugees with assistance, registered without assistance and unregistered. Twelve in-depth interviews were conducted with key informants from humanitarian organizations. All interviews and FGDs were audio recorded, transcribed, and thematically analyzed. SR were highly dependent on formal assistance when received, albeit being insufficient. Regardless of registration status, refugees resorted to informal livelihood strategies, including informal employment, child labor, early marriage, and accruing debt. Poor living conditions and food insecurity were reported among all SR. Limited healthcare access and high out-of-pocket costs led to limited use of antenatal care services, prioritizing life-threatening conditions, and resorting to alternative sources of healthcare. Severity of these conditions and their adverse health consequences were especially pronounced among unregistered refugees. Our findings shed light on the economic and health disparities among marginalized SR, with the lack of registration and formal assistance increasing their vulnerability. More tailored and sustainable humanitarian programs are needed to target the most vulnerable and hard-to-reach groups.Entities:
Year: 2020 PMID: 33264293 PMCID: PMC7710069 DOI: 10.1371/journal.pone.0242421
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
List of non-governmental and governmental organizations that participated in the in-depth interviews in the study.
| Action Contra La Faim (ACF), Beyond organization,Counselling and Legal Assistance at the Norwegian Refugee Center (ICLA), Doctors without Borders (MSF), Gruppo Di Volontariato Civile (GVC), Lebanese Ministry of Social Affairs (MoSA), Lebanese Protection Consortium (LPC), Lebanese Red Cross (LRC), United Nations High Commissioner for Refugees (UNHCR), United Nations Development Programme (UNDP). |
Descriptive characteristics of Syrian refugees in the total sample and by registration and assistance status.
| Total (n = 122) | Registered with assistance (n = 52) | Registered without assistance (n = 28) | Unregistered without assistance (N = 42) | |
|---|---|---|---|---|
| 4.61±2.34 | 5.20±1.42 | 6.67±2.06 | 3.03±2.38 | |
| Primary school or less | 77(63.1) | 33(63.5) | 16(57.1) | 28(66.7) |
| Middle School or higher | 45(36.9) | 19(36.5) | 12(42.9) | 14(33.3) |
| Unmarried/divorced/widowed | 15(12.3) | 7(13.5) | 5(17.9) | 3(7.1) |
| Married | 107(87.7) | 45(86.5) | 23(82.1) | 39(92.9) |
| Yes | 31(25.4) | 15(28.8) | 3(10.7) | 13(31.0) |
| No | 91(74.6) | 37(71.2) | 25(89.3) | 29(69.0) |
| 5.00±2.66 | 5.71±2.11 | 4.43±2.79 | 4.54±3.02 | |
| 2.58±2.47 | 3.48±2.16 | 1.93±1.63 | 1.90±2.95 | |
| 3.60±2.08 | 4.37±1.99 | 3.10±2.27 | 3.14±1.8 | |
| Food secure/ mildly food insecure | 4(3.3) | 3(5.9) | 1(3.6) | 0(0.00) |
| Moderately food insecure | 38(31.4) | 26(51.0) | 5(17.9) | 7(16.7) |
| Severely food insecure | 79(65.3) | 22(43.1) | 22(78.6) | 35(83.3) |
| Poor (0–21) | 24(19.7) | 4(7.7) | 8(28.6) | 12(28.6) |
| Borderline (21.5–35) | 43(35.2) | 8(15.4) | 11(39.3) | 24(57.1) |
| Acceptable (>35) | 55(45.1) | 40(76.9) | 9(32.1) | 6(14.3) |
†Continuous variables are presented as means and standard deviations (SD) whereas categorical variables are presented as frequencies and proportions (%).
* Significance at p≤0.05
** significance at p≤0.001.
a, b, c Different superscripts were significantly different among groups using ANOVA Tukey post hoc analysis.
§ Crowding index was calculated as the total number of household members divided by the total number of rooms in a household (excluding kitchens, bathrooms and balconies) [50].
|| Household food security status was assessed using the Household Food Insecurity Access Scale (HFIAS) measurement and indicator guide [37].
* Fisher’s exact test was used for cells with count less than 5.
₰ The Food consumption Score (FCS) was calculated using the frequency of consumption of different food groups consumed by a household during the prior 7 days. Using standard food groups and standard weights, the frequency weighted diet diversity score was computed and then categorized into three groups based on standard thresholds [41].
Fig 1Themes and subthemes emerging from the focus groups and key informant interviews.