Evidence map›Paper›PMID 38406219›Full record

ArticleJournal of family & community medicine

The prevalence and predictors of diabetes in a private health insurance scheme: An analysis of three million beneficiaries in Saudi Arabia.

Nasser Aljehani, Suliman Alghnam, Ada Alqunaibet, Shehana Alwahabi, Husein Reka, Rimah Almohammed, Abdullah Almaghrabi, Shabab Alghamdi

Open access · goldAbstract read
In one paragraph

Article in Journal of family & community medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% 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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 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

8 authors at 4 institutions in 1 country.

Nasser AljehaniDepartment of Enablement, Council of Health Insurance, Riyadh, Saudi Arabia.
Suliman AlghnamDepartment of Population Health, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Saudi Arabia.
Ada AlqunaibetPublic Health Intelligence, Saudi Public Health Authority, Riyadh, Saudi Arabia.
Shehana AlwahabiDepartment of Data Management and Artificial Intelligence, Council of Health Insurance, Riyadh, Saudi Arabia.
Husein RekaDepartment of Policy Development, Council of Health Insurance, Riyadh, Saudi Arabia.
Rimah AlmohammedResearch and Development Section, Council of Health Insurance, Riyadh, Saudi Arabia.
Abdullah AlmaghrabiDepartment of Policy Development, Council of Health Insurance, Riyadh, Saudi Arabia.
Shabab AlghamdiSecretary General Office, Council of Health Insurance, Riyadh, Saudi Arabia.
King Saud bin Abdulaziz University for Health Sciences · SASaudi Arabian Monetary Authority · SAKing Abdulaziz Medical City · SAKing Abdullah International Medical Research Center · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNoncommunicable diseases (NCDs) are a leading threat to population health in Saudi Arabia. Addressing NCDs is a priority for health-care transformation, and understanding the current disease prevalence is crucial. The prevalence in other settings is unknown because studies have relied on data from households or public health-care institutions. This study aims to investigate the prevalence and predictors of diabetes in the privately insured population. MATERIALS AND

methodsThis retrospective study explored the prevalence and predictors of diabetes in beneficiaries aged 15 years or older who sought medical care in 2022. Data were sourced from the National Platform for Health and Insurance Exchange Services, a unified health insurance claim platform. We used the International Classification of Disease-10 to capture the condition. To identify predictors of diabetes, we employed a backward selection approach for logistic regression.

resultsOver 3.3 million beneficiaries sought medical care during the study. The population was relatively young aged 26-39 years, (47.5%) and two-thirds of males. The prevalence of diabetes was 11.0% and varied across regions, with the highest in Bahah (18.4%) and the lowest in Jizan (9.5%). Age, gender, nationality, insurance company size, body mass index, region, hypertension, and coronary heart disease were significant predictors of diabetes. Hypertensive patients were over five times more likely to have diabetes than those without hypertension (odds ratio OR = 5.08; 95% confidence interval CI = 5.02-5.24). Saudis were 30% more likely to have diabetes than other nationalities (OR = 1.3; 95% CI = 1.28-1.31).

conclusionWe found a higher prevalence of diabetes in privately insured beneficiaries than the recent national estimate. This necessitates population health management strategies at all levels (primary, secondary, and tertiary) to mitigate the burden of diabetes in privately insured individuals. This study provides valuable baseline data for the prevalence of diabetes in this population and emphasizes the urgent need for targeted interventions, especially in regions with a higher prevalence.

Indexed as

Diabetesepidemiologyprevalenceprivate health insurancerisk factorsSaudi Arabia

Identifiers

PMID38406219
PMCPMC10883434
OpenAlexW4390667020

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.