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. 2024 Jul 20;42(21):2506-2515.
doi: 10.1200/JCO.23.01523. Epub 2024 May 8.

Development and Implementation of a Digital Quality Measure of Emergency Cancer Diagnosis

Affiliations

Development and Implementation of a Digital Quality Measure of Emergency Cancer Diagnosis

Paarth Kapadia et al. J Clin Oncol. .

Abstract

Purpose: Missed and delayed cancer diagnoses are common, harmful, and often preventable. Automated measures of quality of cancer diagnosis are lacking but could identify gaps and guide interventions. We developed and implemented a digital quality measure (dQM) of cancer emergency presentation (EP) using electronic health record databases of two health systems and characterized the measure's association with missed opportunities for diagnosis (MODs) and mortality.

Methods: On the basis of literature and expert input, we defined EP as a new cancer diagnosis within 30 days after emergency department or inpatient visit. We identified EPs for lung cancer and colorectal cancer (CRC) in the Department of Veterans Affairs (VA) and Geisinger from 2016 to 2020. We validated measure accuracy and identified preceding MODs through standardized chart review of 100 records per cancer per health system. Using VA's longitudinal encounter and mortality data, we applied logistic regression to assess EP's association with 1-year mortality, adjusting for cancer stage and demographics.

Results: Among 38,565 and 2,914 patients with lung cancer and 14,674 and 1,649 patients with CRCs at VA and Geisinger, respectively, our dQM identified EPs in 20.9% and 9.4% of lung cancers, and 22.4% and 7.5% of CRCs. Chart reviews revealed high positive predictive values for EPs across sites and cancer types (72%-90%), and a substantial percent represented MODs (48.8%-84.9%). EP was associated with significantly higher odds of 1-year mortality for lung cancer and CRC (adjusted odds ratio, 1.78 and 1.83, respectively, 95% CI, 1.63 to 1.86 and 1.61 to 2.07).

Conclusion: A dQM for cancer EP was strongly associated with both mortality and MODs. The findings suggest a promising automated approach to measuring quality of cancer diagnosis in US health systems.

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Conflict of interest statement

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/jco/authors/author-center.

Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).

Figures

FIG 1.
FIG 1.
Timeline of EP and example scenario with dates. Arrows indicate prespecified intervals used by the digital quality measure and chart reviewers. If a cancer signal is present before EP, reviewers allow 7 days to order follow-up testing and 30 days (for lung cancer) to complete follow-up. Using the dates of the example scenario, follow-up was not ordered at the time of the first cancer signal, which would be judged as a missed opportunity for diagnosis. CRC, colorectal cancer; CT, computed tomography; EP, emergency presentation; FIT, fecal immunochemical test; FOBT, fecal occult blood test; MOD, missed opportunity for diagnosis; PET, positron emission tomography.
FIG 2.
FIG 2.
Flow diagram of digital quality measure criteria and chart review process. For all new cancer diagnoses, the diagram indicates the number meeting criteria for EP, the sampling for chart review, and the number meeting criteria for missed opportunities. The example shown is for colorectal cancer in the VA system. EP, emergency presentation; MOD, missed opportunity for diagnosis; VA, Veterans Affairs.

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