A “Sludge Audit” for Health System Colorectal Cancer Screening Services
Open accessAbstract
OBJECTIVES: "Sludge," or the frictions or administrative burdens that make it difficult for people to attain what they want or need, is an unexplored health care delivery factor that may contribute to deficiencies in colorectal cancer (CRC) screening. We piloted a method to identify and quantify sludge in a southeastern US health system's delivery of CRC screening services. STUDY DESIGN: Mixed methods sludge audit. METHODS: We collected and analyzed quantitative (insurance claims, electronic health record, and administrative files) and qualitative (stakeholder interviews and process observations) data associated with CRC screening for instances of sludge. Because they contribute to sludge and reduce system capacity for high-value screening, we also evaluated low-value CRC screening processes. RESULTS: Although specific results were likely amplified by effects of the COVID-19 pandemic, the sludge audit revealed important areas for improvement. A 60.4% screening rate was observed. Approximately half of screening orders were not completed. The following categories of sludge were identified: communication, time, technology, administrative tasks, paperwork, and low-value care. For example, wait times for screening colonoscopy were substantial, duplicate orders were common, and some results were not accessible in the electronic health record. Of completed screenings, 32% were low-value and 38% were associated with low-value preoperative testing. There was evidence of a differential negative impact of sludge to vulnerable patients. CONCLUSIONS: Our sludge audit method identified and quantified multiple instances of sludge in a health system's CRC screening processes. Sludge audits can help organizations to systematically evaluate and reduce sludge for more effective and equitable CRC screening.
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Delay discounting bias is often exacerbated by sludge or the frictions or administrative burdens that make it difficult for people to achieve what they want or need.
“This bias is often exacerbated by “sludge” or the frictions or administrative burdens that make it difficult for people to achieve what they want or need [28,112].”
From Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors (2026) · cites this paper as [28]
The Take-Away Points define sludge as frictions or administrative burdens that make it difficult for people to attain what they want or need. The Discussion says sludge may influence decision-making and deter colorectal cancer screening, but the paper does not establish that it often exacerbates delay discounting bias. Page numbers are unavailable in our copy. (LLM, conf=0.87)
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- Authors
- Rockwell, M. S.
- Affiliations
- Carilion Clinic (US)
- Corresponding author
- Michelle S. Rockwell
- ORCID
- Michelle S. Rockwell
- Venue
- The American Journal of Managed Care
- Published
- 2023-07-27
- Volume
- 29
- Issue
- 7
- Pages
- e222-e228
- ISSN
- 1088-0224 (ISSN-L)
- 1936-2692
- PMC
- PMC11186110
- OpenAlex
- W4385324714
- Cited by
- 10
- References
- 35
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 1
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The American Journal of Managed Care (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Carilion Clinic
- National Institutes of Health (KL2TR003016, UL1TR003015)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Health Sciences › Health Professions › General Health Professions › Healthcare cost, quality, practices
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Keywords
- sludge, colorectal cancer screening, health care delivery, administrative burden, low-value care, screening colonoscopy, waiting time, vulnerable populations, health equity, healthcare quality improvement
- MeSH terms
- COVID-19, SARS-CoV-2, Female, Humans, Male, Middle Aged, Southeastern United States, Colorectal Neoplasms, Early Detection of Cancer, Electronic Health Records
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