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

Author:

McCall Stephen J.1,El Khoury Tanya1,Salibi Noura1,Abi Zeid Berthe1,El Haddad Maria1,Alawieh Marwan F.2,Abdulrahim Sawsan3,Chaaya Monique4,Ghattas Hala1,Sibai Abla M.4

Affiliation:

1. Center for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon

2. Norwegian Refugee Council (NRC), Beirut, Lebanon

3. Department of Health Promotion and Community Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon

4. Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon

Abstract

ImportanceOlder Syrian refugees have a high burden of noncommunicable diseases (NCDs) and economic vulnerability.ObjectivesTo 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 ParticipantsThis 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 MeasuresThe 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).ResultsOf 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 RelevanceIn 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.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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