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Social Disparities in Thoracic Surgery Database Research: Implications and Impact
Kyle G Mitchell1, Ian C Bostock1, Mara B Antonoff1
1Department of Thoracic and Cardiovascular Surgery, University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1489, Houston, TX 77030, USA.
Thoracic Surgery Clinics
|November 21, 2021
Summary
Large databases reveal health care disparities in thoracic surgery, but may not represent all patients. Ensuring diverse patient representation in research is crucial for accurate findings and equitable care.
Area of Science:
- Thoracic Surgery
- Health Care Disparities Research
- Database Analysis
Background:
- A complex relationship exists between health care disparities and large databases within the thoracic surgical patient population.
- Thoracic malignancies serve as a key example to illustrate these issues.
Purpose of the Study:
- To illustrate how large databases and novel analytical approaches can highlight disparate access to care and discordant outcomes in thoracic surgical patients.
- To emphasize the limitations of current large databases in representing the entire thoracic surgical patient population.
Main Methods:
- Analysis of large, widely used healthcare databases.
- Application of novel analytical approaches to identify disparities.
- Focus on patient populations undergoing thoracic surgery, particularly for malignancies.
Main Results:
- Investigations using large databases can effectively highlight disparities in access to care.
- Discordant treatment outcomes are identified across different patient subgroups within these databases.
- Large databases may not be fully representative of the diverse thoracic surgical patient population.
Conclusions:
- Caution is necessary when interpreting and generalizing findings from large database analyses in thoracic surgery.
- Improving the representation of all relevant patient subgroups in research databases is essential.
- Enhanced database generalizability and scientific validity will lead to more equitable patient care.
Keywords:
Big dataDatabase researchEsophageal cancerHealth care disparitiesInformaticsMesotheliomaNon–small cell lung cancerThoracic surgeryMore Related Videos
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