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Imley T, Kanter MH, Timmins R, Adams AL. Creating a Safety Net Process to Improve Colon Cancer Diagnosis in Patients With Rectal Bleeding. Perm J 2022; 26:21-27. [PMID: 36372785 PMCID: PMC9761275 DOI: 10.7812/tpp/22.034] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Failure to follow up on patients with rectal bleeding is common and may result in a delay in diagnosis of colorectal cancer or in missing high-risk adenomas. The authors' purpose was to create an electronic patient safety net for those diagnosed with rectal bleeding but who did not have colonoscopy to ensure proper detection of colonic abnormalities, including colon cancer. Methods In an integrated health delivery system serving < 4.6 million patients in Southern California, from 2014 to 2019, the authors electronically identified patients with rectal bleeding aged 45 to 80 years but with no recently documented colonoscopy. These cases were reviewed by a gastroenterologist to determine if colonoscopy was appropriate. The physician looked for known documentation as to the cause of rectal bleeding and verified no contraindications to the procedure; if indicated, testing was offered. Results Using the authors' safety net program, 1430 patients with rectal bleeding who needed and completed a colonoscopy were identified. Of those patients, 7.5% had an advanced adenoma or cancer, with a total of 20 cancers, and 34% had findings that warranted more frequent colonoscopy. Conclusions The authors designed a safety net system that was able to capture information on patients with rectal bleeding who had not had a colonoscopy and detected in 34% colonic pathology that would have otherwise gone undetected. The program did not require many resources to implement and had the ability to potentially prevent harm from reaching patients whose rectal bleeding did not get prompt workup. Other health systems and practices should consider implementing a similar system.
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Affiliation(s)
- Tracy Imley
- 1Quality and Clinical Analysis SCPMG and HPMG Value Demonstration, Southern California Permanente Medical Group, Pasadena, CA, USA,Tracy Imley, MD, CPHQ
| | - Michael H Kanter
- 2Kaiser Permanente Bernard J. Tyson School of Medicine, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Royann Timmins
- 3Regional SureNet, Complete Care Support Programs, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Annette L Adams
- 4Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
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Weingart SN, Yaghi O, Barnhart L, Kher S, Mazzullo J, Roberts K, Lominac E, Gittelson N, Argyris P, Harvey W. Preventing Diagnostic Errors in Ambulatory Care: An Electronic Notification Tool for Incomplete Radiology Tests. Appl Clin Inform 2020; 11:276-285. [PMID: 32294771 DOI: 10.1055/s-0040-1708530] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Failure to complete recommended diagnostic tests may increase the risk of diagnostic errors. OBJECTIVES The aim of this study is to develop and evaluate an electronic monitoring tool that notifies the responsible clinician of incomplete imaging tests for their ambulatory patients. METHODS A results notification workflow engine was created at an academic medical center. It identified future appointments for imaging studies and notified the ordering physician of incomplete tests by secure email. To assess the impact of the intervention, the project team surveyed participating physicians and measured test completion rates within 90 days of the scheduled appointment. Analyses compared test completion rates among patients of intervention and usual care clinicians at baseline and follow-up. A multivariate logistic regression model was used to control for secular trends and differences between cohorts. RESULTS A total of 725 patients of 16 intervention physicians had 1,016 delayed imaging studies; 2,023 patients of 42 usual care clinicians had 2,697 delayed studies. In the first month, physicians indicated in 23/30 cases that they were unaware of the missed test prior to notification. The 90-day test completion rate was lower in the usual care than intervention group in the 6-month baseline period (18.8 vs. 22.1%, p = 0.119). During the 12-month follow-up period, there was a significant improvement favoring the intervention group (20.9 vs. 25.5%, p = 0.027). The change was driven by improved completion rates among patients referred for mammography (21.0 vs. 30.1%, p = 0.003). Multivariate analyses showed no significant impact of the intervention. CONCLUSION There was a temporal association between email alerts to physicians about missed imaging tests and improved test completion at 90 days, although baseline differences in intervention and usual care groups limited the ability to draw definitive conclusions. Research is needed to understand the potential benefits and limitations of missed test notifications to reduce the risk of delayed diagnoses, particularly in vulnerable patient populations.
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Affiliation(s)
- Saul N Weingart
- Tufts Medical Center, Boston, Massachusetts, United States.,Department of Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States
| | - Omar Yaghi
- Tufts Medical Center, Boston, Massachusetts, United States
| | - Liz Barnhart
- Tufts Medical Center, Boston, Massachusetts, United States
| | - Sucharita Kher
- Tufts Medical Center, Boston, Massachusetts, United States.,Department of Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States
| | - John Mazzullo
- Tufts Medical Center, Boston, Massachusetts, United States
| | - Kari Roberts
- Tufts Medical Center, Boston, Massachusetts, United States.,Department of Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States
| | - Eric Lominac
- Tufts Medical Center, Boston, Massachusetts, United States
| | | | - Philip Argyris
- Tufts Medical Center, Boston, Massachusetts, United States
| | - William Harvey
- Tufts Medical Center, Boston, Massachusetts, United States.,Department of Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States
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