Successful Cardiovascular Risk Reduction in Type 2 Diabetes by Nurse-led Care Using an Open Clinical Algorithm.
From: University Hospital Aintree, Liverpool, UK. annwoodward4@btinternet.com
Diabetic medicine : a journal of the British Diabetic Association
- Publish Date: Jul 2006
- ISSN: 0742-3071
- Volume: 23
- Issue: 7
- Pages: 780-7
- Medium: Print
- Language: English
- Citation (JAMA): Woodward A, Wallymahmed M, Wilding J, et al. Successful Cardiovascular Risk Reduction in Type 2 Diabetes by Nurse-led Care Using an Open Clinical Algorithm.. Diabet. Med. Jul 2006;23:780-7
Abstract
AIM: To implement a protocol-driven, nurse-led cardiovascular risk reduction clinic using an open clinical algorithm. The primary aim of the clinic was to optimize blood pressure (BP) control; secondary aims were to reduce modifiable cardiovascular risk factors. METHODS: We studied 110 people with Type 2 diabetes attending a diabetes out-patient centre at University Hospital Aintree, Liverpool. Patients taking one or more antihypertensive drugs were selected for referral to the nurse-led clinic if BP was > 140/85 mmHg; there was no age threshold. An open clinical algorithm was designed to direct the nurse on the use of antihypertensive, statin and aspirin therapy plus lifestyle advice and concordance. RESULTS: Thirty-one percent of patients attending for a first visit to the nurse-led clinic had BP within target when measured to British Hypertension Society standards out of the consultant clinic. Mean BP was 150/76 mmHg compared with 178/88 mmHg (P < 0.001). Subsequently, BP was reduced to 130/68 mmHg (P < 0.001), this reduction being sustained at review 9 months later (mean BP 133/67 mmHg), with 87 (79%) achieving BP
Mesh Headings (Keywords): Algorithms, Ambulatory Care Facilities, Blood Pressure, Cardiovascular Diseases, Cholesterol, Diabetes Mellitus, Type 2, Female, Health Behavior, Humans, Hypertension, Male, Middle Aged, Prospective Studies, Risk Reduction Behavior
Check for Full Text / PubMed Unique Identifier (PMID): 16842484
This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.
Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.
The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.