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The Emerging Role of Mobile-Health Applications in the Management of Hypertension

  • Hypertension (DS Geller and DL Cohen, Section Editors)
  • Published:
Current Cardiology Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Mobile-health technology, frequently referred to as m-health, encompasses smartphone, tablet, or personal computer use in the management of chronic disease. There has been a rise in the number of commercially available smartphone applications and website-based platforms which claim to help patients manage hypertension. Very little research has been performed confirming whether or not use of these applications results in improved blood pressure (BP) outcomes. In this paper, we review existing literature on m-health systems and how m-health can affect hypertension management.

Recent Findings

M-health systems help patients manage hypertension in the following ways: (1) setting alarms and reminders for patients to take their medications, (2) linking patients’ BP reports to their electronic medical record for their physicians to review, (3) providing feedback to patients about their BP trends, and (4) functioning as point-of-care BP sensors. M-health applications with alarms and reminders can increase medication compliance while applications that share ambulatory BP data with patients’ physicians can foster improved patient-physician dialog. However, the most influential tool for achieving positive BP outcomes appears to be patient-directed feedback about BP trends.

Summary

A large number of commercially available m-health applications may facilitate self-management of hypertension by enhancing medication adherence, maintaining a log of blood pressure measurements, and facilitating physician-patient communication. A small number of applications function as BP sensors, thereby transforming the smartphone into a medical device. Such BP sensors often generate unreliable recordings. Patients must be cautioned regarding the use of smartphones for BP measurement at least until these applications have been more extensively validated.

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References

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  1. BM BEJ, Chiuve SE, et al. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017;135:e 146–60.

    Article  Google Scholar 

  2. Lim SSVT, Flaxman AD, et al. 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. Lancet. 2010;380:2224–60.

    Article  Google Scholar 

  3. Yoon SS FC, Carroll MD. Hypertension Prevalence and Control Amonth Adults: United States, 2011–2014 In: https://www.cdc.gov/nchs/products/databriefs/db220.htm.

  4. Achelrod DWU, Frey S. Systematic review and meta-analysis of the prevalence of resistant hypertension in treated hypertensive populations. Am J Hypertens. 2015;28:355–61.

    Article  PubMed  Google Scholar 

  5. Logan AGMW, Tisler A. Mobile phone-based remote patient monitoring system for management of hypertension in diabetic patients. Am J Hyperten. 2007;20:942–8.

    Article  Google Scholar 

  6. Fletcher BRH-BJ, Hinton L, McManus RJ. The effect of self-monitoring of blood pressure on medication adherence and lifestyle factors: a systematic review and meta-analysis. Am J Hyperten. 2015;28:1209–21.

    Article  Google Scholar 

  7. Uhlig K, Patel K, Ip S, Kitsios GD, Balk EM. Self-measured blood pressure monitoring in the management of hypertension: a systematic review and meta-analysis. Ann Internal Med. 2013;159:185–94.

    Article  Google Scholar 

  8. McManus RJMJ, Haque MS, et al. Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial. JAMA. 2014;312:799–808.

    Article  PubMed  CAS  Google Scholar 

  9. Mobile technology fact sheet | pew research Center's internet & American life project In: http://www.pewinternet.org/fact-sheets/mobile-technology-fact-sheet/.

  10. Demographics of internet and home broadband usage in the United States | pew research center In: http://www.pewinternet.org/fact-sheet/internet-broadband/.

  11. 10 facts about smartphones | Pew Research Center In: http://www.pewresearch.org/fact-tank/2017/06/28/10-facts-about-smartphones/.

  12. •• Kumar NKM, Gupta A, Garg N. A content analysis of smartphone-based applications for hypertension management. J Am Soc Hypertens. 2015;9:130–6. This study is a cross-sectional analysis of 107 comercially available smartphone applications pertaining to hypertension management. While these applications had varied functions like BP tracking tools or medication adherence tools, they were largely unregulated and unvalidated, making it difficulty for healthcare providers to reliably interpret any data from this applications.

    Article  PubMed  Google Scholar 

  13. Kumar NPA, Venkatraman A, Garg N. Are video sharing web sites a useful source of information on hypertension? J Am Soc Hypertens. 2014;8:481–90.

    Article  PubMed  Google Scholar 

  14. A R. The promise, growth, and reality of mobile health — another data-free zone — NEJM In: http://www.nejm.org/doi/full/10.1056/NEJMp1713180?query=featured_home.

  15. Banegas JRRL, de la Sierra A, Gorostidi M, de la Cruz JJ, Ruiz-Hurtado G, Rodriguez-Artalejo F, et al. Relationship between clinic and ambulatory blood-pressure measurements and mortality. NEJM. 2018;378:1509–20.

    Article  PubMed  Google Scholar 

  16. Turner JVA, Shimbo D. Ambulatory blood pressure monitoring in Clincial practice: a. Rev Am J Med. 2015;128:14–20.

    Article  Google Scholar 

  17. Goldberg ELP. New approaches to evaluating and monitoring blood pressure. Curr Hypertens Rep. 2016;18:49.

    Article  PubMed  Google Scholar 

  18. Earle KAIR, Zitouni K, Sungoor A, Tang B. Mobile telemonitoring for achieving tighter targets of blood pressure control in patients with complicated diabetes: a pilot study. Diabetes Technol Ther. 2010;12:575–9.

    Article  PubMed  Google Scholar 

  19. Peng RCYW, Zhang NL, Lin WH, Zhou XL, Zhang YT. Cuffless and continuous blood pressure estimation from the heart sound signals. Sensors (Basel). 2015;15:23653–66.

    Article  Google Scholar 

  20. Parati GOS, Albini F, Piantoni L, Giuliano A, Revera M, Illyes M, et al. Home blood pressure telemonitoring improves hypertension control in general practice: the TeleBPCareStudy. J Hypertension. 2009;27:198–203.

    Article  CAS  Google Scholar 

  21. Watson AJSK, Myint-U K, Grant RW, Jethwani K, Murachver E, Harris K, et al. Evaluating a web-based self-management program for employees with hypertension and prehypertension: a randomized clinical trial. Am Heart J. 2012;164:625–31.

    Article  PubMed  Google Scholar 

  22. Ciemins ELAA, Coombs NC, Holloway B, Mullette EJ, Garland R, Walsh Bishop-Green S, et al. Improving blood pressure control using smart technology. Telemed J E Health. 2018;24:222–8.

    Article  PubMed  Google Scholar 

  23. Kim JYWN, Steinhubl SR. The influence of wireless self-monitoring program on the relationship between patient activation and health behaviors, medication adherence, and blood pressure levels in hypertensive patients: a substudy of a randomized controlled trial. J Med Internet Res. 2016;18:116.

    Article  Google Scholar 

  24. Park MJKH. Evaluation of mobile phone and internet intervention on waist circumference and blood pressure in post-menopausal women with abdominal obesity. Int J Med Inform. 2012;81:388–94.

    Article  PubMed  Google Scholar 

  25. Gandapur YKS, Kelli HM, Misra S, Urrea B, Blaha MJ, Graham G, et al. The role of mHealth for improving medication adherence in patients with cardiovascular disease: a systematic review. Eur Heart J Qual Care Clin Outcomes. 2016;2:237–44.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Patel SJ-KL, Marshall L, Ritchie C, Kaplinski M, Khurana PS, Katz RJ. Mobilizing your medications: an automated medication reminder application for mobile phones and hypertension medication adherence in a high-risk urban population. J Diabetes Sci Technol. 2013;7:630–9.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Wald DSBJ, Raiman L, Brendell R, Wald N. Randomised trial of text messaging on adherence to cardiovascular preventive treatment (INTERACT trial). PLoS One. 2014;9:e114268.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Ovbiagele BJC, Patel S, Brunner-Jackson B, Anderson A, Saulson R, Treiber F. Mobile health medication adherence and blood pressure control in recent stroke patients. J Neurol Sci. 2015;358:535–7.

    Article  PubMed  Google Scholar 

  29. McGillicuddy JWGM, Weiland AK, Rock RA, Brunner-Jackson BM, Patel SK, Thomas BS, et al. Mobile health medication adherence and blood pressure control in renal transplant recipients: a proof-of-concept randomized controlled trial. JMIR Res Protoc. 2013;4:e32.

    Article  Google Scholar 

  30. Bodenheimer TLK, Holman H, Grumbach K. Patient self-management of chronic disease in primary care. JAMA. 2002;288:2469–75.

    Article  PubMed  Google Scholar 

  31. Rinfert SLM, Peirce A, Duhamel F, Cossette S, Lalonde L, Tremblay C, et al. The impact of a multidisciplinary information technology-supported program on blood pressure control in primary care. Circ Cardiovasc Qual Outcomes. 2009;2:17.

    Google Scholar 

  32. Piette JDMN, Janda K, Morgan E, Schantz K, Yujra AC, Pinto B, et al. Structured caregiver feedback enhances engagement and impact of mobile health support: a randomized trial in a lower-middle-income country. Telemed J E Health. 2016;22:261–8.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Thiboutot JSC, Falkner B, Kephart DK, Stuckey HL, Adelman AM, Curry WJ, et al. Effects of a web-based patient activation intervention to overcome clinical inertia on blood pressure control: cluster randomized controlled trial. J Med Internet Res. 2013;15:e158.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Green BBCA, Ralston JD, Fishman PA, Catz SL, Carlson J, Carrell D, et al. Effectiveness of home blood pressure monitoring, web communication, and pharmacist care on hypertension control: a randomized controlled trial. JAMA. 2008;299:2857–67.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. Margolis KLAS, Bergdall AR, Dehmer SP, Groen SE, Kadrmas HM, Kerby TJ, et al. Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control: a cluster randomized clinical trial. JAMA. 2013;310:46–56.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Anthony CAPL, Chounramany J, Foster ED, Goerdt CJ, Miller ML, Suneja M, et al. Outpatient blood pressure monitoring using bi-directional text messaging. J Am Soc Hypertens. 2015;9:375–81.

    Article  PubMed  Google Scholar 

  37. Logan AGIM, McIsaac WJ, Tisler A, Rossos PG, Eatsy A, Feig DS, et al. Effect of home blood pressure telemonitoring with self-care support on uncontrolled systolic hypertension in diabetics. Hypertension. 2012;60:51–7.

    Article  PubMed  CAS  Google Scholar 

  38. Bobrow KFA, Springer D, Shanyinde M, Yu LM, Brennan T, Rayner B, et al. Mobile phone text messages to support treatment adherence in adults with high blood pressure (SMS-text adherence support [StAR]): a single-blind, randomized trial. Circulation. 2016;133:529–600.

    Google Scholar 

  39. Bobrow K BT, Springer D, Levitt NS, Rayner B, Namane M, Yu LM, Tarassenko L, Farmer A. Efficacy of a text messaging (SMS) based intervention for adults with hypertension: protocol for the StAR (SMS text-message adherence suppoRt trial) randomised controlled trial. BMC Public Health 2014; 14.

  40. Ajay VSJD, Roy A, Venugopal V, Sharma R, Pawar A, Kinra S, et al. Development of a smartphone-enabled hypertension and diabetes mellitus management package to facilitate evidence-based care delivery in primary healthcare facilities in India: the mPower heart project. J Am Heart Assoc. 2016;5:e004343.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Tian MAV, Dunzhu D, Hameed SS, Li X, Liu Z, Li C, et al. Controlled trial of a simplified multifaceted management program for individuals at high cardiovascular risk (SimCard trial) in rural Tibet, China, and Haryana. India Circulation. 2015;132:815–24.

    Article  PubMed  Google Scholar 

  42. Jha DGP, Ajay VS, Jindal D, Perel P, Prieto-Merino D, Jacob P, et al. Protocol for the mWellcare trial: a multicentre, cluster randomised, 12-month, controlled trial to compare the effectiveness of mWellcare, an mHealth system for an integrated management of patients with hypertension and diabetes, versus enhanced usual care in India. BMJ Open. 2017;7:e014851.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Artinian NTFJ, Nordstrom CK, et al. Effects of nurse-managed telemonitoring on blood pressure at 12-month follow-up among urban African Americans. Nurs Res. 2007;56:312–22.

    Article  PubMed  Google Scholar 

  44. Rehman HKA, Morris PB, Sayani S, Merchant AT, Virani SS. Mobile health (mHealth) Technology for the Management of hypertension and hyperlipidemia: slow start but loads of potential. Curr Atheroscler Rep. 2017;19:12.

    Article  PubMed  Google Scholar 

  45. Albini F XL, Torlasco C, Soranna D, Faini A, Ciminaghi R, Celsi A, Benedetti M, Zambon A, di Rienzo M, Parati G. An ICT and mobile health integrated approach to optimize patients’ education on hypertension and its management by physicians: the patients optimal strategy of treatment(POST) pilot study. Conf Proc IEEE Eng Med Bio Soc 2016:517–520.

  46. Ashoorkhani MBA, Majdzadeh R, Hosseini H, Yoonessi A, Ramezankhani A, Eftekhar H. Comparing the effectiveness of the BPMAP (blood pressure management application) and usual care in self-management of primary hypertension and adherence to treatment in patients aged 30-60 years: study protocol for a randomized controlled trial. Trials. 2016;17:511.

    Article  PubMed  PubMed Central  Google Scholar 

  47. •• Morawski KGR, Krumme A, et al. Association of a Smartphone Application with medication adherence and blood pressure control: The MedISAFE-BP Randomized Control Trial. JAMA Intern Med. 2018;178:802–9. This study is a randomized control trial which showed that the smartphone application Medisafe had a small improvement in medicaiton adherence by no meaningful improvement in systolic BP.

    Article  PubMed  Google Scholar 

  48. Parati GTC, Omboni S, Pellegrini D. Smartphone applications for hypertension management: a potential game-changer that needs more control. Curr Hypertens Rep. 2017;19:48.

    Article  PubMed  Google Scholar 

  49. Topouchian JAD, Blacher J, Youssef A, Chahine MN, Ibanez I, Assemani N, et al. Validation of four devices: Omron M6 comfort, Omron HEM-7420, Withings BP-800, and Polygreen KP-7670 for home blood pressure measurement according to the European Society of Hypertension International Protocol. Vasc Health Risk Manag. 2014;10:33–44.

    PubMed  PubMed Central  Google Scholar 

  50. Asmar RKJ, Topouchian J, El Feghali R, Mattar J. Validation of threeautomatic devices for self-measurement of blood pressure according to the international protocol: the Omron M3 Intellisense (HEM-7051-E), the Omron M2 compact (HEM 7102-E), and the Omron R3-I plus (HEM 6022-E). Blood Press Monit. 2010;15:49–54.

    Article  PubMed  Google Scholar 

  51. Ostchega YNT, Zhang G, Chiappa M. Blood pressure cuff comparability study. Blood Press Monit. 2016;21:345–51.

    Article  PubMed  Google Scholar 

  52. • Plante TUB, MacFarlane Z, Blumenthal R, Miller E III, et al. Validation of the instant blood pressure smartphone app. JAMA Intern Med. 2016;176:700–2. This study sought to validate the comercially available smartphone application known as Instant Blood Pressure (IBP) which provided point-of-care BP measurements. They failed to validate IBP, as the application was noted to have a low sensitivity for identfying hypertensive BPs.

    Article  PubMed  PubMed Central  Google Scholar 

  53. • Raichle C, Eckstein J, Lapaire O, Leonardi L, et al. Performance of a Blood Pressure Smartphone App in Pregnant Women: The iPARR Trial. Hypertension. 2018;71:1164–9. This subgroup analysis of the iPARR trial found that Preventicus, a new smartphone algorithm using PPG technology, did not meet ESH validation requirements.

    Article  PubMed  CAS  Google Scholar 

  54. • Chandrasekar A KC, Naji M, Natarajan K, Hahn J, Mukkamala R. Smartphone-based clood presure monitoring via the oscillometric finger-pressing method. Sci Transl Med 2018; 10. This study devised a smartphone method to measure BP via PPG technology and found similar bias and precision error between the smartphone method and the control, a finger cuff device.

  55. • Watanabe NBY, Kawachi J, Yamakita H, et al. Development and validation of a novel cuff-less blood pressure monitoring device. JACC Basic Transl Sci. 2017;2:631–42. This study demonstrated that cuffless BP measurements using a single PPG sensor correlate significantly with BP measurements from mercury sphygmomanometers.

    Article  PubMed  PubMed Central  Google Scholar 

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Correspondence to Nilay Kumar.

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Neela D. Thangada, Neetika Garg, Ambarish Pandey, and Nilay Kumar declare that they have no conflict of interest.

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This article does not contain any studies with human or animal subjects performed by any of the authors.

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This article is part of the Topical Collection on Hypertension

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Thangada, N.D., Garg, N., Pandey, A. et al. The Emerging Role of Mobile-Health Applications in the Management of Hypertension. Curr Cardiol Rep 20, 78 (2018). https://doi.org/10.1007/s11886-018-1022-7

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  • DOI: https://doi.org/10.1007/s11886-018-1022-7

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