Evidence map›Paper›PMID 36227600›Full record

ArticleJAMA network open2022

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

Stephen J McCall, Tanya El Khoury, Noura Salibi, Berthe Abi Zeid, Maria El Haddad, Marwan F Alawieh, Sawsan Abdulrahim, Monique Chaaya, Hala Ghattas, Abla M Sibai

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Stephen J McCallCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Tanya El KhouryCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Noura SalibiCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Berthe Abi ZeidCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Maria El HaddadCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Marwan F AlawiehNorwegian Refugee Council (NRC), Beirut, Lebanon.
Sawsan AbdulrahimDepartment of Health Promotion and Community Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Monique ChaayaDepartment of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Hala GhattasCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Abla M SibaiDepartment of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
American University of Beirut · LBRefugee Council · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Cardiovascular DiseasesCOVID-19Diabetes MellitusHypertensionNoncommunicable DiseasesRefugeesAgedCross-Sectional StudiesFemaleHumansLebanonMaleMiddle AgedPandemicsSyria

Identifiers

PMID36227600
PMCPMC9561955
OpenAlexW4304987526

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.