OBJECTIVE: To assess whether a physician-nurse team model could improve long-term hypertension control rates by active intervention and modification of antihypertensive drug regimens based on home blood pressure (BP) measurements. PATIENTS AND METHODS: This study consisted of patients referred to a hypertension specialty clinic between July 1999 and June 2002 for the evaluation and management of uncontrolled hypertension. Patients were evaluated initially by a physician. A treatment plan was designed and implemented subsequently by a hypertension nurse specialist. Each patient was given an automated digital home BP monitor and requested to provide 42 BP readings taken during 7 days at intervals of 1, 3, 6, 9, and 12 months after dismissal from the clinic. The mean of these weekly values was reviewed by the physician-nurse team, and the treatment regimen was adjusted to achieve a goal BP of less than 135/85 mm Hg. RESULTS: One hundred six consecutively referred patients were enrolled in the study (mean+/-SD age, 64+/-14 years; 58% female; baseline BP, 156+/-16/85+/-11 mm Hg). Ninety-four patients submitted BP data after 1 month, and 78 patients completed the entire 12-month study period. Overall, mean BP decreased to 138+/-17/78+/-8 mm Hg at 1 month and to 131+/-9/75+/-7 mm Hg at 12 months (P<.01 vs baseline). The percentage of patients who achieved BP control to less than 135/85 mm Hg increased from 0% at baseline to 63% at 12 months. Intensification of antihypertensive drug therapy was required, on average, in 24% of patients at each study interval. The mean number of drugs increased from 1.2 at baseline to 2.0 at 12 months (P<.01). CONCLUSION: The use of home BP measurement by a physician-nurse team has the potential to significantly improve long-term hypertension control rates in a geographically dispersed patient population. This model should reduce both cost and inconvenience associated with the treatment of hypertension.
OBJECTIVE: To assess whether a physician-nurse team model could improve long-term hypertension control rates by active intervention and modification of antihypertensive drug regimens based on home blood pressure (BP) measurements. PATIENTS AND METHODS: This study consisted of patients referred to a hypertension specialty clinic between July 1999 and June 2002 for the evaluation and management of uncontrolled hypertension. Patients were evaluated initially by a physician. A treatment plan was designed and implemented subsequently by a hypertension nurse specialist. Each patient was given an automated digital home BP monitor and requested to provide 42 BP readings taken during 7 days at intervals of 1, 3, 6, 9, and 12 months after dismissal from the clinic. The mean of these weekly values was reviewed by the physician-nurse team, and the treatment regimen was adjusted to achieve a goal BP of less than 135/85 mm Hg. RESULTS: One hundred six consecutively referred patients were enrolled in the study (mean+/-SD age, 64+/-14 years; 58% female; baseline BP, 156+/-16/85+/-11 mm Hg). Ninety-four patients submitted BP data after 1 month, and 78 patients completed the entire 12-month study period. Overall, mean BP decreased to 138+/-17/78+/-8 mm Hg at 1 month and to 131+/-9/75+/-7 mm Hg at 12 months (P<.01 vs baseline). The percentage of patients who achieved BP control to less than 135/85 mm Hg increased from 0% at baseline to 63% at 12 months. Intensification of antihypertensive drug therapy was required, on average, in 24% of patients at each study interval. The mean number of drugs increased from 1.2 at baseline to 2.0 at 12 months (P<.01). CONCLUSION: The use of home BP measurement by a physician-nurse team has the potential to significantly improve long-term hypertension control rates in a geographically dispersed patient population. This model should reduce both cost and inconvenience associated with the treatment of hypertension.
Authors: Stella S Yi; Bahman P Tabaei; Sonia Y Angell; Anne Rapin; Michael D Buck; William G Pagano; Frank J Maselli; Alvaro Simmons; Shadi Chamany Journal: Circ Cardiovasc Qual Outcomes Date: 2015-03-03
Authors: Thomas G Pickering; Nancy Houston Miller; Gbenga Ogedegbe; Lawrence R Krakoff; Nancy T Artinian; David Goff Journal: Hypertension Date: 2008-05-22 Impact factor: 10.190
Authors: Ramona S Dejesus; Rajeev Chaudhry; Dorinda J Leutink; Melanie A Hinton; Stephen S Cha; Robert J Stroebel Journal: Vasc Health Risk Manag Date: 2009-09-07
Authors: Andre P Kengne; Paschal K Awah; Leopold L Fezeu; Eugene Sobngwi; Jean-Claude Mbanya Journal: J Clin Hypertens (Greenwich) Date: 2009-10 Impact factor: 3.738