Abstract:
OBJECTIVE:To examine concordance between member self-reports and the organization's administrative claims data for two key health factors: number of chronic conditions, and number of prescription drugs. DATA:Medicare Advantage plan claims data and member survey data from 2011 to 2012. DESIGN:Mailed surveys to 15,000 members, enrolled minimum 6 months, drawn from a random sample of primary care physician practices with at least 200 members. METHODS:Descriptive statistics were generated for extent of concordance. Multivariable logistic regressions were used to analyze the association of selected respondent characteristics with likelihood of concordance. FINDINGS:Concordance for number of chronic conditions was 58.4 percent, with 27.3 percent under-reporting, 14.2 percent over-reporting. Concordance for number of prescription drugs was 56.6 percent with 38.9 percent under-reporting, 4.5 percent over-reporting. Number of prescriptions and assistance in survey completion were associated with higher likelihood of concordance for chronic conditions. Assistance in survey completion and number of chronic conditions were associated with higher concordance, and age and number of prescriptions were associated with lower concordance, for prescription drugs. CONCLUSIONS:Self-reported number of chronic conditions and prescription medications are not in high concordance with claims data. Health care researchers and policy makers using patient self-reported data should be aware of these potential biases.
journal_name
Health Serv Resjournal_title
Health services researchauthors
Guerard B,Omachonu V,Harvey RA,Hernandez SR,Sen Bdoi
10.1111/1475-6773.12356subject
Has Abstractpub_date
2016-06-01 00:00:00pages
937-52issue
3eissn
0017-9124issn
1475-6773journal_volume
51pub_type
杂志文章abstract:OBJECTIVE:Apply quantile regression for a high-resolution analysis of changes in wait time to treatment and assess its applicability to quality improvement data compared with least-squares regression. DATA SOURCE:Addiction treatment programs participating in the Network for the Improvement of Addiction Treatment. MET...
journal_title:Health services research
pub_type: 杂志文章
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更新日期:2013-02-01 00:00:00
abstract:OBJECTIVE:To develop and validate a disease-specific automated inpatient mortality risk adjustment system primarily using computerized numerical laboratory data and supplementing them with administrative data. To assess the values of additional manually abstracted data. METHODS:Using 1,271,663 discharges in 2000-2001,...
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更新日期:2010-12-01 00:00:00
abstract:OBJECTIVE:To evaluate episode-based payments for upper respiratory tract infections (URI) and perinatal care in Arkansas's Medicaid population. STUDY SETTING:Upper respiratory infection and perinatal episodes among Medicaid-covered individuals in Arkansas and comparison states from fiscal year (FY) 2011 to 2014. STUD...
journal_title:Health services research
pub_type: 杂志文章
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journal_title:Health services research
pub_type: 杂志文章
doi:10.1111/j.1475-6773.2004.00233.x
更新日期:2004-04-01 00:00:00
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journal_title:Health services research
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journal_title:Health services research
pub_type: 杂志文章
doi:
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pub_type: 杂志文章,多中心研究
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更新日期:2012-08-01 00:00:00
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journal_title:Health services research
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doi:
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更新日期:2004-12-01 00:00:00
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pub_type: 杂志文章
doi:10.1111/j.1475-6773.2003.00205.x
更新日期:2003-12-01 00:00:00
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doi:10.1111/1475-6773.13570
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journal_title:Health services research
pub_type: 杂志文章
doi:
更新日期:1981-04-01 00:00:00
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journal_title:Health services research
pub_type: 杂志文章
doi:
更新日期:1993-08-01 00:00:00
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更新日期:2005-10-01 00:00:00
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更新日期:2002-12-01 00:00:00
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更新日期:2003-10-01 00:00:00
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doi:
更新日期:1997-02-01 00:00:00
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doi:
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更新日期:2008-12-01 00:00:00
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更新日期:2015-08-01 00:00:00
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pub_type: 杂志文章,多中心研究
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更新日期:2005-12-01 00:00:00
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更新日期:2013-04-01 00:00:00
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doi:
更新日期:1989-02-01 00:00:00
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doi:
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更新日期:2011-08-01 00:00:00
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更新日期:2016-04-01 00:00:00