2013
DOI: 10.1097/maj.0b013e31824dd1b6
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Measurement of Colorectal Cancer Test Use With Medical Claims Data in a Safety-Net Health System

Abstract: Background Optimizing colorectal cancer (CRC) screening requires identification of unscreened individuals, and tracking screening trends. A recent NIH State of the Science Conference, “Enhancing Use and Quality of CRC Screening,” cited a need for more population data sources for measurement of CRC screening, particularly for the medically underserved. Medical claims data (claims data) are created and maintained by many health systems to facilitate billing for services rendered, and may be an efficient resource… Show more

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Cited by 10 publications
(10 citation statements)
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“…There was significant endorsement for in-clinic preparatory education as a way of empowering patients with information to increase receptivity and follow up with screening recommendations. When taken together with data from healthcare provider interviews in the FQHC setting [22] and other published literature [34, 35], our findings suggest an important opportunity to enhance patient education materials by focusing on a test-specific strategy, particularly iFOBT/FIT as an initial modality for improving screening rates among medically underserved populations in FQHCs. Participants also preferred clearly communicated, easy-to-understand health education materials.…”
Section: Discussionmentioning
confidence: 66%
“…There was significant endorsement for in-clinic preparatory education as a way of empowering patients with information to increase receptivity and follow up with screening recommendations. When taken together with data from healthcare provider interviews in the FQHC setting [22] and other published literature [34, 35], our findings suggest an important opportunity to enhance patient education materials by focusing on a test-specific strategy, particularly iFOBT/FIT as an initial modality for improving screening rates among medically underserved populations in FQHCs. Participants also preferred clearly communicated, easy-to-understand health education materials.…”
Section: Discussionmentioning
confidence: 66%
“…Claims data include all healthcare encounters that generate a billing claim for enrolled members over specific time periods. Claims data have been used to understand cancer screening patterns in diverse insured populations (Wheeler et al, 2014; Ko et al, 2002; Ko et al, 2005; Koroukian et al, 2005; O'Malley et al, 2005; Schenck et al, 2009; Gupta et al, 2013a; Schenck et al, 2007). The National Institutes of Health (NIH) recently cited a need for more population data sources for measurement of CRC testing, particularly for the medically underserved (Steinwachs et al, 2010; Gupta et al, 2013a).…”
Section: Methodsmentioning
confidence: 99%
“…Claims data have been used to understand cancer screening patterns in diverse insured populations (Wheeler et al, 2014; Ko et al, 2002; Ko et al, 2005; Koroukian et al, 2005; O'Malley et al, 2005; Schenck et al, 2009; Gupta et al, 2013a; Schenck et al, 2007). The National Institutes of Health (NIH) recently cited a need for more population data sources for measurement of CRC testing, particularly for the medically underserved (Steinwachs et al, 2010; Gupta et al, 2013a). In contrast to patient self-reported cancer screening practices, which may be unreliable or inaccurate due to recall bias and social desirability bias, claims data can provide an objective assessment of cancer screening behaviors in a specific population (Schenck et al, 2007; Dodou and de Winter, 2015; Bradbury et al, 2005).…”
Section: Methodsmentioning
confidence: 99%
“…Both health plans also made adaptations to improve the identification of enrollees. While past research has shown that claims data can accurately identify prior CRC screening [ 21 ], our study identified additional aspects of patient identification that are necessary for a successful mailed FIT intervention: accurate contact information, and information about whether enrollees had established care at a given health center.…”
Section: Discussionmentioning
confidence: 99%