Identifying people at risk for undiagnosed type 2 diabetes using the GP's electronic medical record.
Publication year
2007Source
Family Practice, 24, 3, (2007), pp. 230-6ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
General Practice
IQ Healthcare
Journal title
Family Practice
Volume
vol. 24
Issue
iss. 3
Page start
p. 230
Page end
p. 6
Subject
EBP 3: Effective Primary Care and Public Health; NCEBP 14: Cardiovascular diseases; NCEBP 7: Effective primary care and public healthAbstract
BACKGROUND: Screening for type 2 diabetes is recommended in at-risk patients. The GP's electronic medical record (EMR) might be an attractive tool for identifying them. OBJECTIVE: To assess the value of the GP's EMR in identifying patients at risk for undiagnosed type 2 diabetes and the feasibility to use this information in usual care to initiate screening. METHODS: In 11 Dutch general practices (25 GPs), we performed an EMR-derived risk assessment in all patients aged > or =45 and < or =75 years, without known diabetes, identifying those at risk according to the American Diabetes Association recommendations. Patients with an EMR-derived risk or risk after additional risk assessment during regular consultation were invited for capillary fasting plasma glucose (FPG) measurement. RESULTS: Of 13 581 patients, 3858 (28%) had an EMR-based risk (hypertension, cardiovascular disease, lipid metabolism disorders and/or obesity). Additional risk assessment in those without an EMR-based risk showed that in 51%, greater than one risk factor was present, mainly family history (51.2%) and obesity (59%). Ninety per cent returned for the FPG measurement. In both groups, we found patients with an FPG exceeding the cut point for diabetes (5.9% versus 4.1%). CONCLUSIONS: With additional risk assessment during consultation, the GP's EMR was valuable in identifying patients at risk for undiagnosed type 2 diabetes. It was feasible to use this information to initiate screening. At-risk patients were willing to take part in screening. Better registration of family history and obesity will improve the EMR as a tool for identifying at-risk patients in opportunistic screening in general practice.
This item appears in the following Collection(s)
- Academic publications [246764]
- Electronic publications [134205]
- Faculty of Medical Sciences [93461]
- Open Access publications [107730]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.