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

Year: 2024

Type: article

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.

Source: Clinical Epidemiology

DOI: 10.2147/clep.s493274

Authors: Avid Wijaya, Endang Suryandari, Dea Sakti, Tsalits Hariez, Harinto Nur Seha

Institutions: Poltekkes Kemenkes Malang, Politeknik Kesehatan Permata Indonesia Yogyakarta

Language: English

Topic: Chronic Disease Management Strategies

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,836