2016
DOI: 10.1093/fampra/cmw065
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The validation of electronic health records in accurately identifying patients eligible for colorectal cancer screening in safety net clinics

Abstract: Our findings highlight importance of better capture of past screening events in the EHR. While the need for better population-based data is not unique to CRC screening, it provides an important example of the use of population-based data not only for tracking care, but also for delivering interventions.

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Cited by 32 publications
(21 citation statements)
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“…Patients were due for screening if there was no evidence in the electronic health record (EHR) of (a) a fecal test in the previous year, (b) an order for a fecal test in the previous 6 months, (c) a flexible sigmoidoscopy in the previous 4 years, (d) a colonoscopy in the previous 9 years, or (e) an order for a sigmoidoscopy/colonoscopy in the previous year. Patients were excluded if there was EHR evidence of any of several health conditions that made them poor candidates for fecal testing (eg, history of CRC, inflammatory bowel disease, or end‐stage renal failure) …”
Section: Methodsmentioning
confidence: 99%
“…Patients were due for screening if there was no evidence in the electronic health record (EHR) of (a) a fecal test in the previous year, (b) an order for a fecal test in the previous 6 months, (c) a flexible sigmoidoscopy in the previous 4 years, (d) a colonoscopy in the previous 9 years, or (e) an order for a sigmoidoscopy/colonoscopy in the previous year. Patients were excluded if there was EHR evidence of any of several health conditions that made them poor candidates for fecal testing (eg, history of CRC, inflammatory bowel disease, or end‐stage renal failure) …”
Section: Methodsmentioning
confidence: 99%
“…Centralized clinic outreach staff used electronic health record codes developed and refined in STOP CRC to identify adults overdue for CRC screening who had attended a clinic visit within the calendar year. 15 A total of 3462 adults met the criteria and were mailed an introductory letter. Clinic staff identified anyone whose letter was returned by the post office as undeliverable, and reviewed the medical records to identify anyone who was up to date with CRC screening (not captured using health record codes), and removed 740 names.…”
Section: Methodsmentioning
confidence: 99%
“…Centralized clinic outreach staff used a list of EHR codes (eg, diagnoses codes, procedure codes, and laboratory codes) from previous studies 18 to identify adults who were overdue for CRC screening and had attended at least 2 clinic visits within the past 24 months. 19 A total of 3201 adults in the 2 participating clinics met the criteria. Using this list, clinic staff removed 1218 individuals whose insurance status could not be validated and their patient ("enrollment") status could not be confirmed (n ϭ 990), had an invalid address (n ϭ 107), or were otherwise ineligible, for example, had a total colec-tomy or CRC (n ϭ 147; note that reasons were not mutually exclusive).…”
Section: Study Proceduresmentioning
confidence: 99%