Literature DB >> 1989711

Estimated burden of diabetes mellitus in Manitoba according to health insurance claims: a pilot study.

T K Young1, N P Roos, K M Hammerstrand.   

Abstract

OBJECTIVE: To estimate the burden of diabetes mellitus in Manitoba from 1980 to 1984.
DESIGN: Review of the Manitoba Health Services Commission (MHSC) database. The validity of the MHSC data was established through two substudies: one involved self-reports from a survey of elderly Manitobans, and the other involved people with confirmed diabetes enrolled in the provincial diabetes education program.
SUBJECTS: Sample of 100,000 people stratified by age, sex and MHSC health region: 50,000 were aged 25 to 64 years, and 50,000 were aged 65 or more. All MHSC claims containing the ICD-9-CM code for diabetes mellitus or gestational diabetes were identified. MAIN
RESULTS: Of the sample 7627 people were found to have a diagnosis of diabetes, the annual prevalence being 0.8% among those 25 to 44 years of age, 3.5% among those 45 to 64 and 7.6% among those 65 or older. The annual incidence rate among those over 25 years of age was 7.8 per 1000. Of the 4556 pregnant women 25 to 44 years old 85 (1.9%) had diabetes; 23 were believed to have gestational diabetes.
CONCLUSIONS: The incidence and prevalence rates were similar to those determined on the basis of self-reports in Canadian and US national surveys. The use of an administrative database such as that of the MHSC will provide key information for planning health services for diabetic patients and will permit the monitoring of long-term trends in the incidence and prevalence of the disease.

Entities:  

Mesh:

Year:  1991        PMID: 1989711      PMCID: PMC1452682     

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


  29 in total

1.  To tell or not to tell: the ethical dilemmas of HIV test notification in epidemiologic research.

Authors:  A L Avins; B Lo
Journal:  Am J Public Health       Date:  1989-11       Impact factor: 9.308

2.  Para-analysis, faute de mieux, and the perils of riding on a data barge.

Authors:  A R Feinstein
Journal:  J Clin Epidemiol       Date:  1989       Impact factor: 6.437

3.  The validity of estimating the incidence of diabetic retinopathy from prevalence.

Authors:  S E Moss; R Klein; B E Klein
Journal:  Am J Epidemiol       Date:  1990-04       Impact factor: 4.897

4.  Mortality and reoperation after open and transurethral resection of the prostate for benign prostatic hyperplasia.

Authors:  N P Roos; J E Wennberg; D J Malenka; E S Fisher; K McPherson; T F Andersen; M M Cohen; E Ramsey
Journal:  N Engl J Med       Date:  1989-04-27       Impact factor: 91.245

5.  A new audit prodecure applied to an old question: Is the frequency of T&A justified?

Authors:  N P Roos; P D Henteleff; L L Roos
Journal:  Med Care       Date:  1977-01       Impact factor: 2.983

6.  How good are the data? Reliability of one health care data bank.

Authors:  L L Roos; N P Roos; S M Cageorge; J P Nicol
Journal:  Med Care       Date:  1982-03       Impact factor: 2.983

7.  The Manitoba longitudinal study on aging: description and methods.

Authors:  J M Mossey; B Havens; N P Roos; E Shapiro
Journal:  Gerontologist       Date:  1981-10

8.  Prospective study of insulin-dependent diabetes mellitus.

Authors:  R West; E Colle; M M Belmonte; A Tingle; T R Guttmann; D Thomas; J Wilkins; R Poirier; M P Crepeau
Journal:  Diabetes       Date:  1981-07       Impact factor: 9.461

9.  Medicaid data as a resource for epidemiologic studies: strengths and limitations.

Authors:  R A Bright; J Avorn; D E Everitt
Journal:  J Clin Epidemiol       Date:  1989       Impact factor: 6.437

10.  Predicting hospital utilization by the elderly. The importance of patient, physician, and hospital characteristics.

Authors:  N P Roos
Journal:  Med Care       Date:  1989-10       Impact factor: 2.983

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  9 in total

1.  Undiagnosed diabetes: does it matter?

Authors:  T K Young; C A Mustard
Journal:  CMAJ       Date:  2001-01-09       Impact factor: 8.262

2.  Using healthcare claims data for outcomes research and pharmacoeconomic analyses.

Authors:  H G Birnbaum; P Y Cremieux; P E Greenberg; J LeLorier; J A Ostrander; L Venditti
Journal:  Pharmacoeconomics       Date:  1999-07       Impact factor: 4.981

3.  Racial disparities and colorectal cancer survival in older adults with and without diabetes mellitus.

Authors:  Salman Waheed; Nilofer Azad; Sehrish Waheed; Hsin-Chieh Yeh
Journal:  J Gastroenterol Hepatol       Date:  2014-12       Impact factor: 4.029

4.  Concordance between childhood injury diagnoses from two sources: an injury surveillance system and a physician billing claims database.

Authors:  A Kostylova; B Swaine; D Feldman
Journal:  Inj Prev       Date:  2005-06       Impact factor: 2.399

5.  Diabetes in Hawaii: estimating prevalence from insurance claims data.

Authors:  G Maskarinec
Journal:  Am J Public Health       Date:  1997-10       Impact factor: 9.308

6.  Osteoporosis-related fracture case definitions for population-based administrative data.

Authors:  Lisa M Lix; Mahmoud Azimaee; Beliz Acan Osman; Patricia Caetano; Suzanne Morin; Colleen Metge; David Goltzman; Nancy Kreiger; Jerilynn Prior; William D Leslie
Journal:  BMC Public Health       Date:  2012-05-18       Impact factor: 3.295

7.  Validity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents.

Authors:  Lisa M Lix; Lin Yan; David Blackburn; Nianping Hu; Verena Schneider-Lindner; Gary F Teare
Journal:  BMC Health Serv Res       Date:  2014-01-15       Impact factor: 2.655

Review 8.  Systematic review of validated case definitions for diabetes in ICD-9-coded and ICD-10-coded data in adult populations.

Authors:  Bushra Khokhar; Nathalie Jette; Amy Metcalfe; Ceara Tess Cunningham; Hude Quan; Gilaad G Kaplan; Sonia Butalia; Doreen Rabi
Journal:  BMJ Open       Date:  2016-08-05       Impact factor: 2.692

9.  Diabetes incidence based on linkages with health plans: the multiethnic cohort.

Authors:  Gertraud Maskarinec; Eva Erber; Andrew Grandinetti; Martijn Verheus; Robert Oum; Beth N Hopping; Mark M Schmidt; Aileen Uchida; Deborah Taira Juarez; Krista Hodges; Laurence N Kolonel
Journal:  Diabetes       Date:  2009-03-03       Impact factor: 9.461

  9 in total

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