Improving Hypertension Control and Patient Engagement Using Digital Tools

被引:118
作者
Milani, Richard V. [1 ]
Lavie, Carl J. [1 ]
Bober, Robert M. [1 ]
Milani, Alexander R. [1 ]
Ventura, Hector O. [1 ]
机构
[1] Univ Queensland, Sch Med, Ochsner Clin Sch, Dept Cardiovasc Dis,John Ochsner Heart & Vasc Ins, New Orleans, LA USA
关键词
Chronic disease; Hypertension; Patient engagement; BLOOD-PRESSURE CONTROL; HEALTH OUTCOMES; ACTIVATION; DISEASE; MANAGEMENT; COSTS;
D O I
10.1016/j.amjmed.2016.07.029
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Hypertension is present in 30% of the adult US population and is a major contributor to cardiovascular disease. The established office-based approach yields only 50% blood pressure control rates and low levels of patient engagement. Available home technology now provides accurate, reliable data that can be transmitted directly to the electronic medical record. We evaluated blood pressure control in 156 patients with uncontrolled hypertension enrolled into a home-based digital-medicine blood pressure program and compared them with 400 patients (matched to age, sex, body mass index, and blood pressure) in a usualcare group after 90 days. Digital-medicine patients completed questionnaires online, were asked to submit at least one blood pressure reading/week, and received medication management and lifestyle recommendations via a clinical pharmacist and a health coach. Blood pressure units were commercially available that transmitted data directly to the electronic medical record. Digital-medicine patients averaged 4.2 blood pressure readings per week. At 90 days, 71% of digital-medicine vs 31% of usual-care patients had achieved target blood pressure control. Mean decrease in systolic/diastolic blood pressure was 14/5 mm Hg in digital medicine, vs 4/2 mm Hg in usual care (P < .001). Excess sodium consumption decreased from 32% to 8% in the digital-medicine group (P = .004). Mean patient activation increased from 41.9 to 44.1 (P = .008), and the percentage of patients with low patient activation decreased from 15% to 6% (P = .03) in the digital-medicine group. A digital hypertension program is feasible and associated with significant improvement in blood pressure control rates and lifestyle change. Utilization of a virtual health intervention using connected devices improves patient activation and is well accepted by patients. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:14 / 20
页数:7
相关论文
共 19 条
[1]   Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure [J].
Chobanian, AV ;
Bakris, GL ;
Black, HR ;
Cushman, WC ;
Green, LA ;
Izzo, JL ;
Jones, DW ;
Materson, BJ ;
Oparil, S ;
Wright, JT ;
Roccella, EJ .
HYPERTENSION, 2003, 42 (06) :1206-1252
[2]   Social contagion theory: examining dynamic social networks and human behavior [J].
Christakis, Nicholas A. ;
Fowler, James H. .
STATISTICS IN MEDICINE, 2013, 32 (04) :556-577
[3]   US Trends in Prevalence, Awareness, Treatment, and Control of Hypertension, 1988-2008 [J].
Egan, Brent M. ;
Zhao, Yumin ;
Axon, R. Neal .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2010, 303 (20) :2043-2050
[4]   Interventions used to improve control of blood pressure in patients with hypertension [J].
Fahey, T. ;
Schroeder, K. ;
Ebrahim, S. .
COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2006, (02)
[5]   The global cost of nonoptimal blood pressure [J].
Gaziano, Thomas A. ;
Bitton, Asaf ;
Anand, Shuchi ;
Weinstein, Milton C. .
JOURNAL OF HYPERTENSION, 2009, 27 (07) :1472-1477
[6]   When Patient Activation Levels Change, Health Outcomes And Costs Change, Too [J].
Greene, Jessica ;
Hibbard, Judith H. ;
Sacks, Rebecca ;
Overton, Valerie ;
Parrotta, Carmen D. .
HEALTH AFFAIRS, 2015, 34 (03) :431-437
[7]   Patients With Lower Activation Associated With Higher Costs; Delivery Systems Should Know Their Patients' 'Scores' [J].
Hibbard, Judith H. ;
Greene, Jessica ;
Overton, Valerie .
HEALTH AFFAIRS, 2013, 32 (02) :216-222
[8]   What The Evidence Shows About Patient Activation: Better Health Outcomes And Care Experiences; Fewer Data On Costs [J].
Hibbard, Judith H. ;
Greene, Jessica .
HEALTH AFFAIRS, 2013, 32 (02) :207-214
[9]  
James PA, 2014, JAMA-J AM MED ASSOC, V311, P507, DOI 10.1001/jama.2013.284427
[10]   A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010 [J].
Lim, Stephen S. ;
Vos, Theo ;
Flaxman, Abraham D. ;
Danaei, Goodarz ;
Shibuya, Kenji ;
Adair-Rohani, Heather ;
Amann, Markus ;
Anderson, H. Ross ;
Andrews, Kathryn G. ;
Aryee, Martin ;
Atkinson, Charles ;
Bacchus, Loraine J. ;
Bahalim, Adil N. ;
Balakrishnan, Kalpana ;
Balmes, John ;
Barker-Collo, Suzanne ;
Baxter, Amanda ;
Bell, Michelle L. ;
Blore, Jed D. ;
Blyth, Fiona ;
Bonner, Carissa ;
Borges, Guilherme ;
Bourne, Rupert ;
Boussinesq, Michel ;
Brauer, Michael ;
Brooks, Peter ;
Bruce, Nigel G. ;
Brunekreef, Bert ;
Bryan-Hancock, Claire ;
Bucello, Chiara ;
Buchbinder, Rachelle ;
Bull, Fiona ;
Burnett, Richard T. ;
Byers, Tim E. ;
Calabria, Bianca ;
Carapetis, Jonathan ;
Carnahan, Emily ;
Chafe, Zoe ;
Charlson, Fiona ;
Chen, Honglei ;
Chen, Jian Shen ;
Cheng, Andrew Tai-Ann ;
Child, Jennifer Christine ;
Cohen, Aaron ;
Colson, K. Ellicott ;
Cowie, Benjamin C. ;
Darby, Sarah ;
Darling, Susan ;
Davis, Adrian ;
Degenhardt, Louisa .
LANCET, 2012, 380 (9859) :2224-2260