mHealth medication and blood pressure self-management program in Hispanic hypertensives: a proof of concept trial

References

• Chobanian AV, Bakris GL, Black HR, et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003;289(19):2560–2572.
   PubMed Web of Science ®Google Scholar
• Egan BM, Zhao Y, Axon RN. US trends in prevalence, awareness, treatment, and control of hypertension, 1988–2008. JAMA. 2010;303(20):2043–2050.
   PubMed Web of Science ®Google Scholar
• Humes KR, Jones NA, Ramirez RR, United States’ Bureau of the Census. Overview of race and Hispanic origin, 2010. Washington, DC: US Deptartment of Commerce, Economics and Statistics Administration, US Census Bureau; 2011.
   Google Scholar
• Ostchega Y, Yoon SS, Hughes J, Louis T. Hypertension awareness, treatment, and control - continued disparities in adults: United States, 2005–2006. NCHSData Brief. 2008;(3):1–8.
   Google Scholar
• Agarwal R, Bills JE, Hecht TJ, Light RP. Role of home blood pressure monitoring in overcoming therapeutic inertia and improving hypertension control: a systematic review and meta-analysis. Hypertension. 2011;57(1):29–38.
   PubMed Web of Science ®Google Scholar
• Dusing R. Overcoming barriers to effective blood pressure control in patients with hypertension. Curr Med Res Opin. 2006;22(8):1545–1553.
   PubMed Web of Science ®Google Scholar
• Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005;353(5):487–497.
   PubMed Web of Science ®Google Scholar
• Okonofua EC, Simpson KN, Jesri A, Rehman SU, Durkalski VL, Egan BM. Therapeutic inertia is an impediment to achieving the Healthy People 2010 blood pressure control goals. Hypertension. 2006;47(3):345–351.
   PubMed Web of Science ®Google Scholar
• Ho PM, Bryson CL, Rumsfeld JS. Medication adherence: its importance in cardiovascular outcomes. Circulation. 2009;119(23):3028–3035.
   PubMed Web of Science ®Google Scholar
• Cramer JA, Benedict A, Muszbek N, Keskinaslan A, Khan ZM. The significance of compliance and persistence in the treatment of diabetes, hypertension and dyslipidaemia: a review. Int J Clin Pract. 2008;62(1):76–87.
   PubMed Web of Science ®Google Scholar
• Romanelli RJ, Schiro TA, Jukes T, Wong KS, Ishisaka DY. Disparities in blood pressure control within a community-based provider network: an exploratory analysis. Ann Pharmacother. 2011;45(12):1473–1482.
   PubMed Web of Science ®Google Scholar
• Bramley TJ, Gerbino PP, Nightengale BS, Frech-Tamas F. Relationship of blood pressure control to adherence with antihypertensive monotherapy in 13 managed care organizations. JManag Care Pharm. 2006;12(3):239–245.
   PubMed Web of Science ®Google Scholar
• Esposti LD, Di Martino M, Saragoni S, et al. Pharmacoeconomics of antihypertensive drug treatment: an analysis of how long patients remain on various antihypertensive therapies. J Clin Hypertens (Greenwich). 2004;6(2):76–84.
   Google Scholar
• Perez A. Self-management of hypertension in Hispanic adults. Clin Nurs Res. 2011;20(4):347–365.
   Web of Science ®Google Scholar
• Ventura H, Pina IL, Lavie CJ. Hypertension and antihypertensive therapy in Hispanics and Mexican Americans living in the United States. Postgrad Med. 2011;123(6):46–57.
   PubMed Web of Science ®Google Scholar
• Carter BL, Bergus GR, Dawson JD, et al. A cluster randomized trial to evaluate physician/pharmacist collaboration to improve blood pressure control. J Clin Hypertens (Greenwich). 2008;10(4):260–271.
   PubMed Web of Science ®Google Scholar
• Von Muenster SJ, Carter BL, Weber CA, et al. Description of pharmacist interventions during physician-pharmacist co-management of hypertension. Pharm WorldSci. 2008;30(1):128–135.
   Google Scholar
• Glynn LG, Murphy AW, Smith SM, Schroeder K, Fahey T. Interventions used to improve control of blood pressure in patients with hypertension. Cochrane Database Syst Rev. 2010;3:CD005182.
   Google Scholar
• Cappuccio FP, Kerry SM, Forbes L, Donald A. Blood pressure control by home monitoring: meta-analysis of randomised trials. BMJ. 2004;329(7458):145.
   PubMedGoogle Scholar
• Logan AG, Mclsaac WJ, Tisler A, et al. Mobile phone-based remote patient monitoring system for management of hypertension in diabetic patients. Am JHypertens. 2007;20(9):942–948.
   PubMed Web of Science ®Google Scholar
• Lai LL. Community pharmacy-based hypertension disease-management program in a Latino/Hispanic-American population. Consult Pharm. 2007;22(5):411–416.
   PubMedGoogle Scholar
• Price M, Williamson D, McCandless R, et al. Hispanic migrant farm workers’ attitudes toward mobile phone-based telehealth for management of chronic health conditions. J Med Internet Res. 2013;15(4):e76.
   PubMed Web of Science ®Google Scholar
• Nielsen Mobile Insights. America’s new mobile majority: a look at smartphone owners in the US. Newswire 2012. Available from: http://www.nielsen.com/us/en/newswire/2012/who-owns-smartphones-in-the-us.html. Accessed August 16, 2013.
   Google Scholar
• Reinders A, Reggiori F, Shennan AH. Validation of the DINAMAP ProCare blood pressure device according to the international protocol in an adult population. Blood Press Monit. 2006;11(5):293–296.
   PubMed Web of Science ®Google Scholar
• Li Z, Snieder H, Harshfield GA, Treiber FA, Wang X. A 15-year longitudinal study on ambulatory blood pressure tracking from childhood to early adulthood. Hypertens Res. 2009;32(5):404–410.
   Web of Science ®Google Scholar
• Wang X, Ding X, Su S, Harshfield G, Treiber F, Snieder H. Genetic influence on blood pressure measured in the office, under laboratory stress and during real life. Hypertens Res. 2011;34(2):239–244.
   PubMed Web of Science ®Google Scholar
• O’Brien E, Mee F, Atkins N, O’Malley K. Accuracy of the SpaceLabs 90207 determined by the British Hypertension Society protocol. J Hypertens. 1991;9(6):573–574.
   PubMed Web of Science ®Google Scholar
• Gregoski MJ, Barnes VA, Tingen MS, Dong Y, Zhu H, Treiber FA. Differential impact of stress reduction programs upon ambulatory blood pressure among African American adolescents: influences of endothelin-1 gene and chronic stress exposure. Int J Hypertens. 2012;2012:510291.
   Google Scholar
• Gregoski MJ, Barnes VA, Tingen MS, Harshfield GA, Treiber FA. Breathing awareness meditation and LifeSkills Training programs influence upon ambulatory blood pressure and sodium excretion among African American adolescents. JAdolesc Health. 2011;48(1):59–64.
   PubMed Web of Science ®Google Scholar
• Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55(1):68–78.
   PubMed Web of Science ®Google Scholar
• Ryan R, Patrick H, Deci E, Williams G. Facilitating health behaviour change and its maintenance: Interventions based on self-determination theory. Available from: http://www.selfdeterminationtheory.org/SDT/documents/2008_RyanPatrickDeciWilliams_EHPpdf. Accessed August 16, 2013.
   Google Scholar
• Verdecchia P Angeli F, Poeta F, et al. Validation of the A&D UA-774 (UA-767Plus) device for self-measurement of blood pressure. Blood Press Monit. 2004;9(4):225–229.
   Web of Science ®Google Scholar
• Russell C, Conn V, Ashbaugh C, et al. Taking immunosuppressive medications effectively (TIMELink): a pilot randomized controlled trial in adult kidney transplant recipients. Clin Transplant. 2010;25(6):864–870.
   Web of Science ®Google Scholar
• Wood W, Neal DT. A new look at habits and the habit-goal interface. Psychol Rev. 2007;114(4):843–863.
   PubMed Web of Science ®Google Scholar
• Legris P, Ingham J, Collerette P. Why do people use information technology? A critical review of the technology acceptance model. Inform Manage. 2003;40(3):191–204.
   Web of Science ®Google Scholar
• Collins LM, Murphy SA, Nair VN, Strecher VJ. A strategy for optimizing and evaluating behavioral interventions. Ann Behav Med. 2005;30(1):65–73.
   PubMed Web of Science ®Google Scholar
• Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337:a1655.
   PubMed Web of Science ®Google Scholar
• Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Transi Behav Med. 2011;1(1):53–71.
   PubMed Web of Science ®Google Scholar
• Barnes VA, Gregoski MJ, Tingen MS, Treiber FA. Influences of family environment and meditation efficacy on hemodynamic function among African American adolescents. J Complement Integr Med. 2010;7(1):1326.
   Google Scholar
• Gregoski M, Mueller M, Jackson B, Frenzel R, Sprehn S, Treiber F. Development and validation of a smart phone heart rate acquisition application for health promotion and wellness telehealth applications. Int J Teiemed Appi. 2012;2012:696324.
   PubMedGoogle Scholar
• Gregoski MJ, Mueller M, Jackson B, Vertegel A, Sharporev A, Treiber F. Tension tamer: delivering meditation with objective heart rate acquisition for adherence monitoring using a smart phone platform. JAltern Complement Med. 2013;19(1):17–19.
   Web of Science ®Google Scholar