An Electronic Questionnaire to Survey Colorectal Cancer Screening Status and Identify High-Risk Cohorts in Large Health Care Organizations
Autor: | Justin Loloi, Junjia Zhu, Thomas J. McGarrity, Laurie P. Peiffer, Christopher Soriano, Jennifer Cooper |
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Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
Colorectal cancer Colonoscopy 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires Health care medicine Humans 030212 general & internal medicine Early Detection of Cancer Response rate (survey) medicine.diagnostic_test business.industry Crc screening 030503 health policy & services Health Policy Incidence (epidemiology) medicine.disease Colorectal cancer screening Family medicine Electronics 0305 other medical science business Risk assessment Colorectal Neoplasms Delivery of Health Care |
Zdroj: | American journal of medical quality : the official journal of the American College of Medical Quality. 36(3) |
ISSN: | 1555-824X |
Popis: | Though improved screening practices have reduced the incidence and mortality of colorectal cancer (CRC), screening rates continue to be suboptimal. This is especially true of high-risk individuals, who are difficult for clinicians to identify during a typical health care encounter. The authors developed an electronic patient questionnaire that determined an individual's CRC screening status and identified high-risk individuals. The questionnaire was administered to employees through the Department of Human Resources. The response rate was 44.7%; 81.2% of respondents aged ≥50 years were up-to-date on CRC screening; 878 high-risk individuals were identified, 77.7% of whom were up-to-date on CRC screening. However, among high-risk individuals aged 40 to 49 years, only 45.8% reported up-to-date CRC screening. The questionnaire was effective in measuring CRC screening rates and identifying high-risk individuals. Dissemination by the Department of Human Resources was novel, effective, and was not dependent on a health care encounter to assess screening or high-risk status. |
Databáze: | OpenAIRE |
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