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Items: 19

1.

Comparison of A1C and fasting glucose criteria to diagnose diabetes among U.S. adults.

Carson AP, Reynolds K, Fonseca VA, Muntner P.

Diabetes Care. 2010 Jan;33(1):95-7. doi: 10.2337/dc09-1227. Epub 2009 Oct 6.

2.

Optimal strategy to identify incidence of diagnostic of diabetes using administrative data.

Asghari S, Courteau J, Carpentier AC, Vanasse A.

BMC Med Res Methodol. 2009 Aug 28;9:62. doi: 10.1186/1471-2288-9-62.

3.

International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes.

International Expert Committee..

Diabetes Care. 2009 Jul;32(7):1327-34. doi: 10.2337/dc09-9033. Epub 2009 Jun 5. No abstract available.

4.

Diabetes registries: where we are and where are we headed?

Khan L, Mincemoyer S, Gabbay RA.

Diabetes Technol Ther. 2009 Apr;11(4):255-62. doi: 10.1089/dia.2008.0057.

PMID:
19344200
5.

Beyond health plans: behavioral health disorders and quality of diabetes and asthma care for Medicaid beneficiaries.

Clark RE, Weir S, Ouellette RA, Zhang J, Baxter JD.

Med Care. 2009 May;47(5):545-52. doi: 10.1097/MLR.0b013e318190db45.

PMID:
19319000
6.

Trends in laboratory testing for diabetes in Ontario, Canada 1995-2005: a population-based study.

Wilson SE, Lipscombe LL, Rosella LC, Manuel DG.

BMC Health Serv Res. 2009 Feb 27;9:41. doi: 10.1186/1472-6963-9-41.

7.

Population-based data sources for chronic disease surveillance.

Lix LM, Yogendran MS, Shaw SY, Burchill C, Metge C, Bond R.

Chronic Dis Can. 2008;29(1):31-8.

8.

Hemoglobin A1c: past, present and future.

Aldasouqi SA, Gossain VV.

Ann Saudi Med. 2008 Nov-Dec;28(6):411-9. Review.

PMID:
19011317
9.

Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases.

Lix LM, Yogendran MS, Leslie WD, Shaw SY, Baumgartner R, Bowman C, Metge C, Gumel A, Hux J, James RC.

J Clin Epidemiol. 2008 Dec;61(12):1250-60. doi: 10.1016/j.jclinepi.2008.02.002. Epub 2008 Jul 10.

PMID:
18619800
10.

Using electronic medical records to measure and improve performance.

Cebul RD.

Trans Am Clin Climatol Assoc. 2008;119:65-75; discussion 75-6.

11.

HbA(1c) as a screening tool for detection of Type 2 diabetes: a systematic review.

Bennett CM, Guo M, Dharmage SC.

Diabet Med. 2007 Apr;24(4):333-43. Epub 2007 Mar 15. Review. Erratum in: Diabet Med. 2007 Sep;24(9):1054.

PMID:
17367307
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14.

Information system support as a critical success factor for chronic disease management: Necessary but not sufficient.

Green CJ, Fortin P, Maclure M, Macgregor A, Robinson S.

Int J Med Inform. 2006 Dec;75(12):818-28. Epub 2006 Aug 17.

PMID:
16920013
15.

Critical features for a successful implementation of a diabetes registry.

Gabbay RA, Khan L, Peterson KL.

Diabetes Technol Ther. 2005 Dec;7(6):958-67. Review.

PMID:
16386102
16.

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

Saydah SH, Geiss LS, Tierney E, Benjamin SM, Engelgau M, Brancati F.

Ann Epidemiol. 2004 Aug;14(7):507-16. Review.

PMID:
15301787
17.
18.

Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm.

Hux JE, Ivis F, Flintoft V, Bica A.

Diabetes Care. 2002 Mar;25(3):512-6.

PMID:
11874939
19.

Diabetes Screening in Canada (DIASCAN) Study: prevalence of undiagnosed diabetes and glucose intolerance in family physician offices.

Leiter LA, Barr A, BĂ©langer A, Lubin S, Ross SA, Tildesley HD, Fontaine N; Diabetes Screening in Canada (DIASCAN) Study..

Diabetes Care. 2001 Jun;24(6):1038-43.

PMID:
11375367

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