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Effect of Nurse Case Management Compared With Usual Care on Controlling Cardiovascular Risk Factors in Patients With Diabetes: A randomized controlled trial
Oleh:
Ishani, Areef
;
Greer, Nancy
;
Taylor, Brent C.
;
Kubes, Laurie
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
Diabetes Care vol. 34 no. 08 (Aug. 2011)
,
page 1689-1694 .
Topik:
DIABETES
;
Hypertension
;
Hyperglycemia
;
Hyperlipidemia
Ketersediaan
Perpustakaan FK
Nomor Panggil:
D05.K
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
OBJECTIVE To determine whether nurse case management with a therapeutic algorithm could effectively improve rates of control for hypertension, hyperglycemia, and hyperlipidemia compared with usual care among veterans with diabetes. RESEARCH DESIGN AND METHODS A randomized controlled trial of diabetic patients that had blood pressure (BP) >140/90 mmHg, hemoglobin A1c (HbA1c) >9.0%, or LDL >100 mg/dL. Intervention patients received case management (n = 278) versus usual care (n = 278) over a 1-year period. The primary outcome was the percentage of patients achieving simultaneous control of all three parameters (defined by BP <130/80 mmHg, HbA1c <8.0%, and LDL <100 mg/dL) at 1 year. Secondary outcomes included improvements within each individual component of the composite primary outcome. Differences between groups were analyzed using t tests, Pearson ?2 tests, and linear and logistic regression. RESULTS A greater number of individuals assigned to case management achieved the primary study outcome of having all three outcome measures under control (61 [21.9%] compared with 28 [10.1%] in the usual care group [P < 0.01]). In addition, a greater number of individuals assigned to the intervention group achieved the individual treatment goals of HbA1c <8.0% (73.7 vs. 65.8%, P = 0.04) and BP <130/80 mmHg (45.0 vs. 25.4%, P < 0.01), but not for LDL <100 mg/dL (57.6 vs. 55.4%, P = 0.61), compared with those in the usual care group. CONCLUSIONS In patients with diabetes, nurse case managers using a treatment algorithm can effectively improve the number of individuals with control of multiple cardiovascular risk factors at 1 year.
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