Evidence map›Paper›PMID 39570846›Full record

ArticlePloS one2024

Social and health system barriers: Investigating Circumstances of Mortality Categories (COMCATs) for deceased patients with T2DM in the sub-national Saudi Arabia register.

Faleh Alyazidi, Deler Shakely, Fawaz Alyazidi, Lubna A Alnasser, Max Petzold, Laith Hussain-Alkhateeb

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In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Faleh AlyazidiSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-6823-2375
Deler ShakelySchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-5259-6200
Fawaz AlyazidiInfectious Diseases Control Department, Executive Directorate of Preventive Medicine, Makkah Healthcare Cluster, Makkah, Kingdom of Saudi Arabia.
Lubna A AlnasserDepartment of Population Health, King Abdullah International Medical Research Centre, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.ORCID 0009-0004-1442-5293
Max PetzoldSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0003-4908-2169
Laith Hussain-AlkhateebSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health policy debates rely on reliable and timely information on major causes of mortality and their associated attributors, especially to overcome the traditional public health focus restricted to the biomedical cause of death (COD). This study explores relevant social and health system circumstantial barriers to accessing healthcare services among deceased patients with Type 2 Diabetes Mellitus (T2DM) in Saudi Arabia. A total of 302 verbal autopsy (VA) interviews were conducted with relatives or caregivers of the deceased who died between 2018 and 2021, based on T2DM medical records from Alnoor Specialist Hospital in the Western Province, Saudi Arabia. The Bayesian-based InterVA-5 algorithm was employed as a validated source to determine the probable COD and Circumstances Of Mortality Categories (COMCATs) for each case. COMCATs stand for predetermined categories of multiple social and healthcare system circumstances that contribute to an individual's death. The likelihoods of COD and COMCATs derived from InterVA-5 software were computed independently to generate the 'cause-specific mortality fractions' (CSMFs) of the COD and COMCATs. The CSMFs for the seven COMCATs categories were then ranked based on their derived probabilities for the corresponding COMCATs across all major COD categories. The top CODs were circulatory diseases (35.8%), stroke (16.6%), and diabetes mellitus (14.3%). The probabilities of COMCATs indicated that most deaths were attributed to 'inevitable' causes (e.g., terminal illness), followed by 'recognition' (inability to recognize the severity of illness) and 'traditions' (local attitudes deterring patients from seeking medical services on time). Addressing 'recognition' and 'traditions' barriers could reduce mortality rates and improve access to healthcare, helping the Saudi health system accelerate the progress towards the systematic measurement of key universal health coverage indicators. The study emphasizes the need for a robust and standardized VA method within routine medical services to address factors influencing healthcare access towards improved health outcomes.

Indexed as

Cause of DeathDiabetes Mellitus, Type 2AdultAgedAged, 80 and overBayes TheoremFemaleHealth Services AccessibilityHumansMaleMiddle AgedRegistriesSaudi Arabia

Identifiers

PMID39570846
PMCPMC11581326

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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.