Predicting intention to vaccinate against COVID-19 in older Syrian refugees in Lebanon: Findings from a multi-wave study.

BACKGROUND: COVID-19 vaccine acceptance among refugees in the Arab region remains low. This study aimed to examine the prevalence, reasons and predictors of intention to refuse the COVID-19 vaccine among older Syrian refugees in Lebanon. METHODS: A nested cross-sectional study within a longitudinal study among older Syrian refugees in Lebanon. The sampling frame was a complete listing of beneficiary households of a humanitarian organization with at least one adult aged 50 years or older. Telephone surveys were completed at months 1 starting September 2020 (wave 1), months 2 (wave 2), months 5 (wave 3), months 6 (wave 4) and months 17 (wave 5) in March 2022. Logistic regression models were used to identify predictors of intention to refuse the COVID-19 vaccine. Models were internally validated using bootstrap methods and the models' calibration and discrimination were presented. FINDINGS: Of 3167 Syrian refugees, 61.3% intended to receive the COVID-19 vaccine, 31.3% refused, and 7.4% were undecided. Reasons for vaccine refusal were: preference to follow preventive measures (27.4%) and belief that the vaccine is not essential (20.7%). Furthermore, 57.1% of participants registered to take the COVID-19 vaccine in wave 5. Irrespective of vaccination intention, reasons for not registering included: not wanting to receive the vaccine, and being unsure whether to take it. Predictors of intention to refuse the COVID-19 vaccine included: being a female, older age, having elementary education or above, living outside informal tented settlements, perceiving COVID-19 as not severe and vaccines as not safe or effective, and using social media for information on COVID-19. After adjusting for optimization, the final model showed moderate discrimination (C-statistic: 0.651 (95% CI:0.630-0.672)) and good calibration (C-slope: 0.93 (95% CI: 0.823-1.065)). CONCLUSIONS: This study developed a predictive model for vaccination intention with a moderate discriminative ability and good calibration. Prediction models in humanitarian settings can help identify refugees at higher risk of not intending to receive the COVID-19 vaccine for public health targeting.

Predictors and barriers to vaccination among older Syrian refugees in Lebanon: a cross-sectional analysis of a multi-wave longitudinal study.

BACKGROUND: Vaccination is important to prevent morbidity and mortality due to COVID-19 among older Syrian refugees. We aimed to elucidate the predictors of COVID-19 vaccine uptake among Syrian refugees aged 50 years or older in Lebanon and to understand their main reasons for not receiving the vaccine. METHODS: This was a cross-sectional analysis of a five-wave longitudinal study, conducted through telephone interviews between Sept 22, 2020, and March 14, 2022, in Lebanon. For this analysis, data were extracted from wave 3 (Jan 21-April 23, 2021), which included a question on vaccine safety and on whether participants intended to receive the COVID-19 vaccine, and wave 5 (Jan 14-March 14, 2022), which included questions on actual vaccine uptake. Syrian refugees aged 50 years or older were invited to participate from a list of households that received assistance from the Norwegian Refugee Council, a humanitarian non-governmental organisation. The outcome was self-reported COVID-19 vaccination status. Multivariable logistic regression was used to identify predictors of vaccination uptake. Validation was completed internally with bootstrapping methods. FINDINGS: 2906 participants completed both wave 3 and 5; the median age was 58 (IQR 55-64) years and 1538 (52·9%) were male. 1235 (42·5%) of 2906 participants had received at least one dose of the COVID-19 vaccine. The main reasons for not receiving the first dose included being afraid of its side-effects (670 [40·1%] of 1671) or not wanting the vaccine (637 [38·1%] of 1671). 806 (27·7%) of 2906 participants received the second dose of the vaccine and 26 (0·9%) of 2906 received the third dose. The main reason for not receiving the second (288 [67·1%] of 429) or third dose (573 [73·5%] of 780) was waiting for a text message for an appointment. Predictors of receiving at least one dose of the COVID-19 vaccine included younger age (odds ratio 0·97; 95% CI 0·96-0·98), being male (1·39; 1·19-1·62), living inside informal tented settlements (1·44; 1·24-1·66), having elementary (1·23; 1·03-1·48) and preparatory education or above (1·15; 0·95-1·40), and having a pre-existing intention to receive the vaccine (1·29; 1·10-1·50). After adjusting for optimisation, the final model, which includes these five predictors of receiving at least one dose of the COVID-19 vaccine, showed moderate discrimination (C-statistic 0·605; 95% CI 0·584-0·624) and good calibration (c-slope 0·912; 95% CI 0·758-1·079). INTERPRETATION: There is an ongoing need to address COVID-19 vaccine uptake among older Syrian refugees by improving deployment planning and raising awareness about the importance of vaccination. FUNDING: ELRHA's Research for Health in Humanitarian Crisis Programme.

Development of a Prediction Model for the Management of Noncommunicable Diseases Among Older Syrian Refugees Amidst the COVID-19 Pandemic in Lebanon.

Importance: Older Syrian refugees have a high burden of noncommunicable diseases (NCDs) and economic vulnerability. Objectives: To develop and internally validate a predictive model to estimate inability to manage NCDs in older Syrian refugees, and to describe barriers to NCD medication adherence. Design, Setting, and Participants: This nested prognostic cross-sectional study was conducted through telephone surveys between September 2020 and January 2021. All households in Lebanon with Syrian refugees aged 50 years or older and who received humanitarian assistance from a nongovernmental organization were invited to participate. Refugees who self-reported having chronic respiratory disease (CRD), diabetes, history of cardiovascular disease (CVD), or hypertension were included in the analysis. Data were analyzed from November 2021 to March 2022. Main Outcomes and Measures: The main outcome was self-reported inability to manage any NCD (including CRD, CVD, diabetes, or hypertension). Predictors of inability to manage any NCD were assessed using logistic regression models. The model was internally validated using bootstrapping techniques, which gave an estimate of optimism. The optimism-adjusted discrimination is presented using the C statistic, and calibration of the model is presented using calibration slope (C slope). Results: Of 3322 older Syrian refugees, 1893 individuals (median [IQR] age, 59 [54-65] years; 1089 [57.5%] women) reported having at least 1 NCD, among whom 351 (10.6% overall; 18.6% of those with ≥1 NCD) had CRD, 781 (23.7% overall; 41.4% of those with ≥1 NCD) had diabetes, 794 (24.1% overall; 42.2% of those with ≥1 NCD) had history of CVD, and 1388 (42.3% overall; 73.6% of those with ≥1 NCD) had hypertension. Among individuals with NCDs, 387 participants (20.4%) were unable to manage at least 1 of their NCDs. Predictors for inability to manage NCDs were age, nonreceipt of cash assistance, household water insecurity, household food insecurity, and having multiple chronic diseases, with an adjusted C statistic of 0.650 (95% CI, 0.620-0.676) and C slope of 0.871 (95% CI, 0.729-1.023). The prevalence of nonadherence to medication was 9.2%, and the main reasons for nonadherence were unaffordability of medication (40.8%; 95% CI, 33.4%-48.5%) and the belief that they no longer required the medication after feeling better (22.4%; 95% CI, 16.4%-29.3%). Conclusions and Relevance: In this cross-sectional study, the predictors of inability to manage NCDs among older Syrian refugees in Lebanon were mainly related to financial barriers. Context-appropriate assistance is required to overcome financial barriers and enable equitable access to medication and health care.

Validation of the Arabic Severe Respiratory Insufficiency Questionnaire.

BACKGROUND/OBJECTIVES: Assessment of Health-Related Quality of Life (HRQL) in patients with chronic respiratory insufficiency requiring Home Mechanical Ventilation (HMV) requires a valid measurement tool. The Severe Respiratory Insufficiency (SRI) questionnaire, originally developed in German, has been translated into different languages and tested in different contexts, but has so far not been in use in Arabic-speaking populations. The objective of this study is to validate the Arabic version of the SRI questionnaire in a sample of Arabic-speaking patients from Lebanon. METHODS: Following forward/backward translations, the finalized Arabic version was administered to 149 patients (53 males-96 females, age 69.80 ± 10 years) receiving HMV. Patients were recruited from outpatient clinics and visited at home. The Arabic SRI and the 36-Item Short-Form Health Survey (SF-36) were administered, in addition to questions on sociodemographics and medical history. Exploratory Factor Analysis (EFA) was used to explore dimensionality; internal consistency reliability of the unidimensional scale and its subscales was assessed using Cronbach's alpha. External nomological validity was examined by assessing the correlation between the SRI and SF-36 scores. RESULTS: The 49-item Arabic SRI scale showed a high internal consistency reliability (Cronbach alpha for the total scale was 0.897 and ranged between 0.73 and 0.87 for all subscales). Correlations between the SF-36-Mental Health Component MHC and SF-36-Physical Health Component with SRI-Summary Scale were 0.57 and 0.66, respectively, with higher correlations observed between the SF-36 and specific sub-scales such as the Physical Functioning and the Social Functioning subscales [r = 0.81 and r = 0.74 (P < 0.01), respectively]. CONCLUSION AND RECOMMENDATIONS: The Arabic SRI is a reliable and valid tool for assessing HRQL in patients with chronic respiratory insufficiency receiving home mechanical ventilation.