Critical Analysis of Errors in Medical Certification of Cause of Death [MCCD] in a Teaching Hospital

AG, Vijay Kumar

doi:10.23880/ijfsc-16000157

Cited by 4 publications

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“…There have been reports of certifying physicians failing to include the time interval in death certi cates in anywhere from 81.5% and nearly 95.6% of cases. [4,6,12] Although Patil et al's study reported it in 26.47% of cases, illegible handwriting, which is regarded as a minor error, was found in 5.4% of death certi cates. Although the proper coding of the cause of death is not affected by unreadable writing in the death certi cate, the quality of the death certi cate is affected and is most likely to be misconstrued.…”

Section: Discussionmentioning

confidence: 97%

“…The most frequent minor error (92.5%) was failing to account for disease time interval. [4] Error rates in previous studies ranged from 32-99.2%. [5][6][7][8][9][10] In this study, 29% of the certifying physicians wrote part I and part II of the MCCDs using abbreviations which was similarly documented in studies conducted in India.…”

Section: Discussionmentioning

confidence: 99%

“…In 6-55% of death certi cates, it is a common observation. [4,11,12] . However, in our study, incorrect sequence was seen in 11.2% cases.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of Errors in Medical Certificates of Cause of Death (MCCD) at a Tertiary Care Institute in 2022

SHARMA,

Singh,

Bahurupi

et al. 2024

Preprint

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Medical Certificates of Cause of Death (MCCD) play a pivotal role in shaping national health statistics and public health initiatives. This study investigates the quality of MCCD completion at a Tertiary Care Institute in India, focusing on certification errors made by physicians while issuing death certificates. Methods: Using a retrospective, cross-sectional approach, 1603 MCCDs issued during the study period were analyzed for formal correctness and mistakes. The study employed predefined categories to assess the nature and impact of these errors. While this research did not verify the factual accuracy of the MCCDs against patients' medical records, it categorized errors into major and minor, based on their potential to influence the accurate classification of the underlying cause of death. Results: The study showed the presence of errors in all 1603 death certificates examined, categorizing them as major, minor, or both. Notably, 99.2% of cases lacked the mention of the time interval between death and the morbid condition. Analysis of major errors indicated that in 64.60% of cases, competing causes of death were mentioned, while 77.4% featured multiple causes of death. Furthermore, improper sequencing of the cause of death was identified in 11.2%, whereas 7.9% had poorly defined conditions as the cause of death. Conclusion: To improve the quality of healthcare data and public health management, these findings highlight the necessity for precise MCCD reporting and the significance of comprehending mortality patterns. For informed decision-making and changes to the healthcare system, addressing the found errors and patterns is essential.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

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Analysis of Errors in Medical Certificates of Cause of Death (MCCD) at a Tertiary Care Institute in 2022

SHARMA,

Singh,

Bahurupi

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Analysis of errors in medical certificates of cause of death (MCCD) at a tertiary care institute in 2022

Sharma,

Singh,

Bahurupi

et al. 2024

Discov Public Health

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Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India

Shewade

Parameswaran

Mazumder

et al. 2021

Front. Public Health

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In India, the “low mortality” narrative based on the reported COVID-19 deaths may be causing more harm than benefit. The extent to which COVID-19 deaths get reported depends on the coverage of routine death surveillance [death registration along with medical certification of cause of death (MCCD)] and the errors in MCCD. In India, the coverage of routine death surveillance is 18.1%. This is compounded by the fact that COVID-19 death reporting is focused among reported cases and the case detection ratio is low. To adjust for the coverage of routine death surveillance and errors in MCCD, we calculated a correction (multiplication) factor at national and state level to produce an estimated number of COVID-19 deaths. As on July 31, 2020, we calculated the infection fatality ratio (IFR) for India (0.58:100–1.16:100) using these estimated COVID-19 deaths; this is comparable with the IFR range in countries with near perfect routine death surveillance. We recommend the release of excess deaths data during COVID-19 (at least in states with high death registration) and post-mortem COVID-19 testing as a surveillance activity for a better understanding of under-reporting. In its absence, we should adjust reported COVID-19 deaths for the coverage of routine death surveillance and errors in MCCD. This way we will have a clear idea of the true burden of deaths and our public health response will never be inadequate. We recommend that “reported” or “estimated” is added before the COVID-19 death data and related indicators for better clarity and interpretation.

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Critical Analysis of Errors in Medical Certification of Cause of Death [MCCD] in a Teaching Hospital

Cited by 4 publications

References 0 publications

Analysis of Errors in Medical Certificates of Cause of Death (MCCD) at a Tertiary Care Institute in 2022

Analysis of Errors in Medical Certificates of Cause of Death (MCCD) at a Tertiary Care Institute in 2022

Analysis of errors in medical certificates of cause of death (MCCD) at a tertiary care institute in 2022

Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India

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