| Autor: |
Zimolzak, Andrew J1,2 (AUTHOR), Khan, Sundas P1,2 (AUTHOR), Singh, Hardeep1,2 (AUTHOR), Davila, Jessica A1,2 (AUTHOR) |
| Zdroj: |
Journal of the American Medical Informatics Association. Jan2025, Vol. 32 Issue 1, p227-229. 3p. |
| Abstrakt: |
Objectives Missed and delayed cancer diagnoses are common, harmful, and often preventable. We previously validated a digital quality measure (dQM) of emergency presentation (EP) of lung cancer in 2 US health systems. This study aimed to apply the dQM to a new national electronic health record (EHR) database and examine demographic associations. Materials and Methods We applied the dQM (emergency encounter followed by new lung cancer diagnosis within 30 days) to Epic Cosmos, a deidentified database covering 184 million US patients. We examined dQM associations with sociodemographic factors. Results The overall EP rate was 19.6%. EP rate was higher in Black vs White patients (24% vs 19%, P < .001) and patients with younger age, higher social vulnerability, lower-income ZIP code, and self-reported transport difficulties. Discussion We successfully applied a dQM based on cancer EP to the largest US EHR database. Conclusion This dQM could be a marker for sociodemographic vulnerabilities in cancer diagnosis. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Library, Information Science & Technology Abstracts |
| Externí odkaz: |
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