Review of the performance of methods to identify diabetes cases among vital statistics, administrative, and survey data

Saydah, Sharon; Geiss, Linda S.; Tierney, Ed; Benjamin, Stephanie M.; Engelgau, Michael M.; Brancati, Frederick L.

doi:10.1016/j.annepidem.2003.09.016

Cited by 135 publications

(115 citation statements)

References 59 publications

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“…The accuracy of self-reporting for diabetes is reasonably high in population surveys; selfreported diabetes has high specificity and a positive predictive value but low sensitivity (19,20). When comparing selfreported to measured weight and height, heavier individuals tend to underreport their weight more than leaner individuals, and shorter individuals tend to overreport their height (21).…”

Section: Expected Years With and Without Diabetesmentioning

confidence: 99%

Effect of BMI on Lifetime Risk for Diabetes in the U.S.

et al. 2007

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OBJECTIVE -At birth, the lifetime risk of developing diabetes is one in three, but lifetime risks across BMI categories are unknown. We estimated BMI-specific lifetime diabetes risk in the U.S. for age-, sex-, and ethnicity-specific subgroups.RESEARCH DESIGN AND METHODS -National Health Interview Survey data (n ϭ 780, 694,[1997][1998][1999][2000][2001][2002][2003][2004] were used to estimate age-, race-, sex-, and BMI-specific prevalence and incidence of diabetes in 2004. U.S. Census Bureau age-, race-, and sex-specific population and mortality rate estimates for 2004 were combined with two previous studies of mortality to estimate diabetes-and BMI-specific mortality rates. These estimates were used in a Markov model to project lifetime risk of diagnosed diabetes by baseline age, race, sex, and BMI.RESULTS -Lifetime diabetes risk at 18 years of age increased from 7.6 to 70.3% between underweight and very obese men and from 12.2 to 74.4% for women. The lifetime risk difference was lower at older ages. At 65 years of age, compared with normal-weight male subjects, lifetime risk differences (percent) increased from 3.7 to 23.9 percentage points between overweight and very obese men and from 8.7 to 26.7 percentage points for women. The impact of BMI on diabetes duration also decreased with age.CONCLUSIONS -Overweight and especially obesity, particularly at younger ages, substantially increases lifetime risk of diagnosed diabetes, while their impact on diabetes risk, life expectancy, and diabetes duration diminishes with age.

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Section: Expected Years With and Without Diabetesmentioning

confidence: 99%

Effect of BMI on Lifetime Risk for Diabetes in the U.S.

et al. 2007

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“…Most of these studies have examined the validity of diagnostic information [3][4][5][6] even though multiple aspects of quality must be assessed to ensure the data are fit for research and surveillance purposes. For example, complete capture of the population is essential to ensure unbiased research and surveillance results.…”

Section: Highlightsmentioning

confidence: 99%

Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data

Lix

Kuwornu

Kroeker

et al. 2016

Health Promot Chronic Dis Prev Can

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Introduction: Changes in physician reimbursement policies may hinder the collection of billing claims in administrative data; this can result in biased estimates of disease prevalence and incidence. However, the magnitude of data loss is largely unknown. The purpose of this study was to estimate completeness of capture of disease cases for Manitoba physicians paid by fee-for-service (FFS) and non-fee-for-service (NFFS) methods.

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“…Third, disability and diabetes status were self-reported, and thus misclassification for undiagnosed cases is possible. However, validation studies have found agreement for the mobility measures used in other aging studies between 69.4 and 84.7% (22) and self-reported diabetes in survey data to range from 70 to 99% (23). Fourth, because we used cohorts of respondents who entered in different years and therefore could not use weights for any one year, results are not representative of the U.S. population in a specific year.…”

Section: Discussionmentioning

confidence: 98%

Association of Functional Decline With Subsequent Diabetes Incidence in U.S. Adults Aged 51 Years and Older: The Health and Retirement Study 1998–2010

et al. 2014

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OBJECTIVEWe assessed whether functional decline and physical disability increase the subsequent risk of diabetes. RESEARCH DESIGN AND METHODSWe used a subsample of adults aged 51 years and older with no diabetes at baseline who were followed up to 12 years (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) in the Health and Retirement Study, an observational study of a nationally representative survey. We assessed baseline disability status and incident disability with subsequent risk of diabetes, accounting for death as a competing risk and controlling for BMI, age, sex, race/ethnicity, net wealth, mother's level of education, respondents' level of education, and time of follow-up. Disability was defined as none, mild, moderate, and severe, based on a validated scale of mobility measures. Diabetes was identified by self-report of a diagnosis from a doctor. Population attributable fraction (PAF) was calculated to assess the percentage of diabetes cases that were attributable to mobility disability. RESULTSThe sample included 22,878 adults with an average of 8.7 years of follow-up; 9,649 (41.2%) reported some level of disability at baseline, and 8,175 (35.7%) additional participants developed disability during follow-up; 3,546 (15.5%) participants developed diabetes; and 5,869 (25.6%) died. Regression analyses found a statistically significant dose-response relationship of increased risk of diabetes (28-95%) among those with any level of functional decline, prevalent or incident. Among the subanalytic sample, including incident disability only, the PAF was 6.9% (CI 4.2-9.5). CONCLUSIONSOur findings suggest those who become disabled, even mildly, are at increased risk of developing diabetes. This finding raises the possibility that approaches to prevent disability in older adults could also reduce diabetes incidence.

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Review of the performance of methods to identify diabetes cases among vital statistics, administrative, and survey data

Cited by 135 publications

References 59 publications

Effect of BMI on Lifetime Risk for Diabetes in the U.S.

Effect of BMI on Lifetime Risk for Diabetes in the U.S.

Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data

Association of Functional Decline With Subsequent Diabetes Incidence in U.S. Adults Aged 51 Years and Older: The Health and Retirement Study 1998–2010

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