Evidence map›Paper›PMID 22677160›Full record

ArticlePreventing chronic disease2012

Construction of a multisite DataLink using electronic health records for the identification, surveillance, prevention, and management of diabetes mellitus: the SUPREME-DM project.

Gregory A Nichols, Jay Desai, Jennifer Elston Lafata, Jean M Lawrence, Patrick J O'Connor, Ram D Pathak, Marsha A Raebel, Robert J Reid, Joseph V Selby, Barbara G Silverman and 5 more

Open access · diamondAbstract readMulticenter Study
In one paragraph

Article in Preventing chronic disease, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
19.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 156 citations in OpenAlex.

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50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 1 country.

Gregory A NicholsKaiser Permanente Center for Health Research, 3800 N Interstate Ave, Portland, OR 97227, USA. Greg.nichols@kpchr.org
Jay Desai
Jennifer Elston Lafata
Jean M Lawrence
Patrick J O'Connor
Ram D Pathak
Marsha A Raebel
Robert J Reid
Joseph V Selby
Barbara G Silverman
John F Steiner
W F Stewart
Suma Vupputuri
Beth Waitzfelder
SUPREME-DM Study Group
Regions Hospital · USKaiser Permanente · USKaiser Permanente Center for Health Research · USMarshfield Clinic · USVirginia Commonwealth University · US

Funding

Multi-institutional Consortium for CER in Diabetes Treatment and PreventionR01HS019859 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI STEINER, JOHN F · 2010 to 2010
$8.9M
AHRQ HHS R01 HS019859AHRQ HHS R01HS019859
6 · The paper itself

Abstract

introductionElectronic health record (EHR) data enhance opportunities for conducting surveillance of diabetes. The objective of this study was to identify the number of people with diabetes from a diabetes DataLink developed as part of the SUPREME-DM (SUrveillance, PREvention, and ManagEment of Diabetes Mellitus) project, a consortium of 11 integrated health systems that use comprehensive EHR data for research.

methodsWe identified all members of 11 health care systems who had any enrollment from January 2005 through December 2009. For these members, we searched inpatient and outpatient diagnosis codes, laboratory test results, and pharmaceutical dispensings from January 2000 through December 2009 to create indicator variables that could potentially identify a person with diabetes. Using this information, we estimated the number of people with diabetes and among them, the number of incident cases, defined as indication of diabetes after at least 2 years of continuous health system enrollment.

resultsThe 11 health systems contributed 15,765,529 unique members, of whom 1,085,947 (6.9%) met 1 or more study criteria for diabetes. The nonstandardized proportion meeting study criteria for diabetes ranged from 4.2% to 12.4% across sites. Most members with diabetes (88%) met multiple criteria. Of the members with diabetes, 428,349 (39.4%) were incident cases.

conclusionThe SUPREME-DM DataLink is a unique resource that provides an opportunity to conduct comparative effectiveness research, epidemiologic surveillance including longitudinal analyses, and population-based care management studies of people with diabetes. It also provides a useful data source for pragmatic clinical trials of prevention or treatment interventions.

Indexed as

Electronic Health RecordsMedical Record LinkageAge of OnsetChildData CollectionDiabetes MellitusDisease ManagementFemaleHumansMaleManaged Care ProgramsMiddle AgedPopulation SurveillanceRegistriesUnited StatesUser-Computer Interface

Identifiers

PMID22677160
PMCPMC3457753
OpenAlexW2102041096

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.