Evidence map›Paper›PMID 39959802›Full record

ArticleTanaffos2024

Factors Affecting the Medical Coding Errors of COVID-19 Hospital Records: A Cross-Sectional Study in East Iran.

Ali Garavand, Erfan Esmaeeli, Fatemeh Bahador, Azam Sabahi

Abstract read
In one paragraph

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

0numbers the graph read from it
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

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Ali GaravandDepartment of Health Information Technology, School of Allied Medical Sciences, Lorestan University of Medical Sciences, Khorramabad, Iran.
Erfan EsmaeeliDepartment of Medical Informatics, Tehran University of Medical Sciences, Tehran, Iran.
Fatemeh BahadorDepartment of Health Information Management, Tehran University of Medical Sciences, Tehran, Iran.
Azam SabahiDepartment of Health Information Technology, Ferdows School of Health and Allied Medical Sciences, Birjand University of Medical Sciences, Birjand, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, disease coding significantly influenced national and international strategies for prevention, treatment, and control. This study aimed to assess the factors influencing COVID-19 records' coding errors in teaching hospitals in South Khorasan province. Materials and Methods: In 2022, researchers conducted a cross-sectional study in South Khorasan Province, Iran. Data was gathered using a self-developed questionnaire distributed among medical coders in all hospitals. Descriptive statistics were employed in the data analysis using SPSS version 19. Results: The study's results showed that non-observance of diagnostic principles by physicians (66 out of 92), a lack of specialized medical coding specialists (52 out of 92), and the use of ambiguous and non-standard abbreviations (51 out of 92) were the most significant factors affecting COVID-19 coding errors. Among the three main factors affecting COVID-19 records' coding errors, factors related to the medical coder (47.66 out of 92), factors related to healthcare providers (29.8 out of 92), and organizational and environmental factors (21.4 out of 92) were the most significant. Conclusion: This study revealed that multiple factors contribute to coding errors in COVID-19 records, with the most critical being physicians' non-adherence to diagnostic principles, the shortage of medical coding specialists, the use of unclear and non-standard abbreviations, and the absence of COVID-19 coding continuing education. Therefore, we recommend conducting workshops on diagnosis and coding for medical coders, particularly emphasizing the precise coding of COVID-19 records.

Indexed as

Clinical codingCoding errorCOVID-19Medical Records

Identifiers

PMID39959802
PMCPMC11825067

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