Yield of claims data and surveys for determining colon cancer screening among health plan members.
Screening can reduce incidence and mortality from colorectal cancer but has been underutilized. Efforts to increase screening depend on accurate data about screening status. We sought to evaluate the independent and combined yield of claims and direct survey for identifying colorectal cancer screening among average-risk health plan beneficiaries. Participants were Aetna members ages between 52 and 80 years from 32 primary care practices in Florida and Georgia participating in the Communicating Health Options through Information and Cancer Education study. Main outcomes were the proportion of average-risk patients who were up-to-date with colorectal cancer screening based on claims data and the estimated additional yield of survey data for patients with no evidence of screening in their claims history. Of 4,020 average-risk members identified, claims data indicated that 1,066 (27%) had recent colorectal cancer screening. Among the 1,269 average-risk members with no evidence of screening by claims data who returned surveys, 498 (39%) reported being up-to-date with screening. Combining claims data and survey data and accounting for survey nonresponse, we estimate that 47% to 59% of member patients were actually up-to-date with screening, an additional yield of 20 to 32 percentage points. We conclude that, among health plan members, the combination of claims data and survey information had substantially higher yield than claims data alone for identifying colorectal cancer screening.
Pignone
Michael
M
University of North Carolina Division of General Internal Medicine and Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Scott
Tracy L
TL
Schild
Laura A
LA
Lewis
Carmen
C
Vázquez
Raquel
R
Glanz
Karen
K
D000368:Aged; D000369:Aged, 80 and over; D016009:Chi-Square Distribution; D003110:Colonic Neoplasms / Q000175:diagnosis* / Q000453:epidemiology; D005260:Female; D005431:Florida / Q000453:epidemiology; D005845:Georgia / Q000453:epidemiology; D006306:Health Surveys; D006801:Humans; D007344:Insurance Claim Reporting / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D008403:Mass Screening / Q000706:statistics & numerical data*; D008875:Middle Aged