Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England [Letter]

The article titled "Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England" is a significant contribution to the field of epidemiology, particularly in the study of chronic diseases through electronic healthcare records (EHR). 1 The research demonstrates the utility of EHR data in identifying and analyzing the prevalence and impact of fibrotic diseases that often occur together, termed fibrotic multimorbidity.This approach offers a valuable perspective on the burden of such conditions on public health systems by leveraging existing data, making it cost-effective and expansive in scope. 2,3However, the study's methodology invites some criticism, particularly concerning data quality and the potential biases inherent in routinely collected EHR data.Medical records, while rich in information, can suffer from incompleteness, inconsistency, or biases introduced by healthcare providers' coding practices, potentially leading to classification errors or inadequate reporting of specific conditions.Furthermore, the study's reliance on pre-existing codes and the lack of standardization across different healthcare settings could have impacted the accuracy of the multimorbidity estimates. 4To address these issues, future research should prioritize the standardization of EHR data collection and coding practices across different healthcare systems to improve data consistency and reliability.Additionally, implementing advanced data cleaning and validation techniques could mitigate the effects of incomplete or biased records, ensuring more accurate and representative results. 5Integrating patientreported outcomes and other qualitative data sources might also enrich the understanding of fibrotic multimorbidity, providing a more holistic view of these conditions.Overall, while the article successfully highlights the potential of EHR data in epidemiological research, these methodological enhancements are crucial for refining future studies in this area.

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Publication Details

Journal
Clinical Epidemiology
Published
2024-09-01
DOI
https://doi.org/10.2147/clep.s493274
Citations
1
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
0.39
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article

Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England [Letter]

Harinto Nur Seha, Endang Sri Dewi Hastuti Suryandari, Dea Allan Karunia Sakti, Avid Wijaya et al.
1 citations
Clinical Epidemiology
Chronic Disease Management Strategies
0.39
article

Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England [Letter]

Harinto Nur Seha, Endang Sri Dewi Hastuti Suryandari, Dea Allan Karunia Sakti, Avid Wijaya, Tsalits Maulidah Hariez
article en
1 citations

Abstract

The article titled "Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England" is a significant contribution to the field of epidemiology, particularly in the study of chronic diseases through electronic healthcare records (EHR). 1 The research demonstrates the utility of EHR data in identifying and analyzing the prevalence and impact of fibrotic diseases that often occur together, termed fibrotic multimorbidity.This approach offers a valuable perspective on the burden of such conditions on public health systems by leveraging existing data, making it cost-effective and expansive in scope. 2,3However, the study's methodology invites some criticism, particularly concerning data quality and the potential biases inherent in routinely collected EHR data.Medical records, while rich in information, can suffer from incompleteness, inconsistency, or biases introduced by healthcare providers' coding practices, potentially leading to classification errors or inadequate reporting of specific conditions.Furthermore, the study's reliance on pre-existing codes and the lack of standardization across different healthcare settings could have impacted the accuracy of the multimorbidity estimates. 4To address these issues, future research should prioritize the standardization of EHR data collection and coding practices across different healthcare systems to improve data consistency and reliability.Additionally, implementing advanced data cleaning and validation techniques could mitigate the effects of incomplete or biased records, ensuring more accurate and representative results. 5Integrating patientreported outcomes and other qualitative data sources might also enrich the understanding of fibrotic multimorbidity, providing a more holistic view of these conditions.Overall, while the article successfully highlights the potential of EHR data in epidemiological research, these methodological enhancements are crucial for refining future studies in this area.

Clinical EpidemiologyVol. Volume 16
Combine Resource Institution (ID), Politeknik Kesehatan Kemenkes Semarang (ID)
Openalex Percentile: Top 35%
Chronic Disease Management Strategies
0.39
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