Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes

PRCOD was found to overestimate population-level endocrine/metabolic and respiratory disease COD while underestimating circulatory disease, demonstrating medical certification challenges. Conversely, affirming previous literature on prevalent COD in Saudi Arabia, VA appears to deliver a plausible assessment, further strengthening its potential to integrate within the Saudi health system towards an augmented medical certification process.

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Publication Details

Journal
Global Health Action
Published
2024-12-31
DOI
https://doi.org/10.1080/16549716.2024.2448382
Citations
3
Primary Topic
Medical Coding and Health Information
Type
article
Field-Weighted Citation Impact
2.12
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article

Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes

Faleh Alyazidi, Max Petzold, Laith Hussain‐Alkhateeb, Delér Shakely et al.
3 citations
Global Health Action
Medical Coding and Health Information
2.12
article

Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes

Faleh Alyazidi, Max Petzold, Laith Hussain‐Alkhateeb, Delér Shakely, Fawaz Alyazidi
article en
3 citations

Abstract

PRCOD was found to overestimate population-level endocrine/metabolic and respiratory disease COD while underestimating circulatory disease, demonstrating medical certification challenges. Conversely, affirming previous literature on prevalent COD in Saudi Arabia, VA appears to deliver a plausible assessment, further strengthening its potential to integrate within the Saudi health system towards an augmented medical certification process.

Global Health ActionVol. 17(1)
Umm al-Qura University (SA), Innovation Cluster (Canada) (CA), University of Gothenburg (SE)
Good health and well-being
Openalex Percentile: Top 9%
Medical Coding and Health Information
2.12
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