Sustainability of mHealth Effects on Cardiometabolic Risk Factors: Five-Year Results of a Randomized Clinical Trial

Antonio Bernabe-Ortiz, Julia Pauschardt, Francisco Diez-Canseco, J Jaime Miranda, Antonio Bernabe-Ortiz, Julia Pauschardt, Francisco Diez-Canseco, J Jaime Miranda

Abstract

Background: The long-term effects of mobile health (mHealth) interventions have not been documented, especially in resource-constrained settings.

Objective: This study aimed to assess the effects of a 1-year mHealth intervention on blood pressure levels and body weight in low-resource urban settings in Peru, 4 years after the completion of the original study.

Methods: Four years after the original Grupo de Investigación en Salud Móvil en America Latina (GISMAL) study, we attempted to contact the 212 individuals originally enrolled in the study in Peru. The primary outcomes were systolic and diastolic blood pressure levels and hypertension incidence. Secondary outcome measures were body weight, BMI, and self-reported target behaviors. The study personnel collecting the data were masked to the group assignment. Linear mixed models were used to evaluate the effects of the intervention on primary and secondary outcomes in an intention-to-treat analysis.

Results: Data from 164 (77.4%) of the 212 originally enrolled participants were available and analyzed (80 in the intervention group and 84 in the control group). The intervention did not result in changes in systolic (-2.54 mm Hg, 95% CI -8.23 to 3.15) or diastolic (3.41 mm Hg, 95% CI -0.75 to 7.57) blood pressure compared with the control group. The intervention reduced the risk of developing hypertension, but the result was not significant (risk ratio (RR) 0.76, 95% CI 0.45-1.28). However, those who received the intervention had lower body weight (-5.42 kg, 95% CI -10.4 to -0.48) and BMI (-2.56 kg/m2, 95% CI -4.46 to -0.66). In addition, compared to the control participants, those who received ≥50% of the scheduled calls during the intervention had greater reductions in body weight (-6.23 kg, 95% CI -11.47 to -0.99) and BMI (-2.81 kg/m2, 95% CI -4.77 to -0.85).

Conclusions: An mHealth intervention comprising motivational interview calls and SMS text messaging appears to have effects on health 4 years after intervention completion. Although there were no effects on blood pressure levels, important reductions in body weight and BMI were seen 5 years after randomization. Thus, mHealth appears to be a promising preventive strategy for noncommunicable diseases in resource-constrained settings.

Trial registration: Clinicaltrials.gov NCT01295216; https://ichgcp.net/clinical-trials-registry/NCT01295216.

Keywords: blood pressure; body weight; low- and middle-income countries; mHealth.

Conflict of interest statement

Conflicts of Interest: None declared.

©Antonio Bernabe-Ortiz, Julia Pauschardt, Francisco Diez-Canseco, J Jaime Miranda. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 21.04.2020.

Figures

Figure 1
Figure 1
Trial profile in Peru.

References

    1. Forouzanfar MH, Liu P, Roth GA, Ng M, Biryukov S, Marczak L, Alexander L, Estep K, Hassen AK, Akinyemiju TF, Ali R, Alvis-Guzman N, Azzopardi P, Banerjee A, Bärnighausen T, Basu A, Bekele T, Bennett DA, Biadgilign S, Catalá-López F, Feigin VL, Fernandes JC, Fischer F, Gebru AA, Gona P, Gupta R, Hankey GJ, Jonas JB, Judd SE, Khang Y, Khosravi A, Kim YJ, Kimokoti RW, Kokubo Y, Kolte D, Lopez A, Lotufo PA, Malekzadeh R, Melaku YA, Mensah GA, Misganaw A, Mokdad AH, Moran AE, Nawaz H, Neal B, Ngalesoni FN, Ohkubo T, Pourmalek F, Rafay A, Rai RK, Rojas-Rueda D, Sampson UK, Santos IS, Sawhney M, Schutte AE, Sepanlou SG, Shifa GT, Shiue I, Tedla BA, Thrift AG, Tonelli M, Truelsen T, Tsilimparis N, Ukwaja KN, Uthman OA, Vasankari T, Venketasubramanian N, Vlassov VV, Vos T, Westerman R, Yan LL, Yano Y, Yonemoto N, Zaki MES, Murray CJL. Global Burden of Hypertension and Systolic Blood Pressure of at Least 110 to 115 mm Hg, 1990-2015. JAMA. 2017 Dec 10;317(2):165–182. doi: 10.1001/jama.2016.19043.
    1. Lawes CMM, Vander Hoorn S, Rodgers A, International Society of Hypertension Global burden of blood-pressure-related disease, 2001. Lancet. 2008 May 03;371(9623):1513–8. doi: 10.1016/S0140-6736(08)60655-8.
    1. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jones DW, Materson BJ, Oparil S, Wright JT, Roccella EJ, National HLIJNCOPDEOHBP, National HBPEPCC. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003 May 21;289(19):2560–72. doi: 10.1001/jama.289.19.2560.
    1. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, Lackland DT, LeFevre ML, MacKenzie TD, Ogedegbe O, Smith SC, Svetkey LP, Taler SJ, Townsend RR, Wright JT, Narva AS, Ortiz E. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8) JAMA. 2014 Feb 5;311(5):507–20. doi: 10.1001/jama.2013.284427.
    1. Becker S, Miron-Shatz T, Schumacher N, Krocza J, Diamantidis C, Albrecht U. mHealth 2.0: Experiences, Possibilities, and Perspectives. JMIR Mhealth Uhealth. 2014;2(2):e24. doi: 10.2196/mhealth.3328.
    1. Beratarrechea A, Lee AG, Willner JM, Jahangir E, Ciapponi A, Rubinstein A. The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review. Telemed J E Health. 2014 Jan;20(1):75–82. doi: 10.1089/tmj.2012.0328.
    1. Devi BR, Syed-Abdul S, Kumar A, Iqbal U, Nguyen P, Li YJ, Jian W. mHealth: An updated systematic review with a focus on HIV/AIDS and tuberculosis long term management using mobile phones. Comput Methods Programs Biomed. 2015 Nov;122(2):257–65. doi: 10.1016/j.cmpb.2015.08.003.
    1. Burns K, Keating P, Free C. A systematic review of randomised control trials of sexual health interventions delivered by mobile technologies. BMC Public Health. 2016 Dec 12;16(1):778. doi: 10.1186/s12889-016-3408-z.
    1. Direito A, Carraça E, Rawstorn J, Whittaker R, Maddison R. mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials. Ann Behav Med. 2017 Apr;51(2):226–239. doi: 10.1007/s12160-016-9846-0.
    1. Joiner KL, Nam S, Whittemore R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: A systematic review and meta-analysis. Prev Med. 2017 Jul;100:194–207. doi: 10.1016/j.ypmed.2017.04.033.
    1. Kelly JT, Reidlinger DP, Hoffmann TC, Campbell KL. Telehealth methods to deliver dietary interventions in adults with chronic disease: a systematic review and meta-analysis. Am J Clin Nutr. 2016 Dec;104(6):1693–1702. doi: 10.3945/ajcn.116.136333.
    1. Bloomfield GS, Vedanthan R, Vasudevan L, Kithei A, Were M, Velazquez EJ. Mobile health for non-communicable diseases in Sub-Saharan Africa: a systematic review of the literature and strategic framework for research. Global Health. 2014;10:49. doi: 10.1186/1744-8603-10-49.
    1. Carvalho de Menezes Mariana, Bedeschi LB, Santos LCD, Lopes ACS. Interventions directed at eating habits and physical activity using the Transtheoretical Model: a systematic review. Nutr Hosp. 2016 Sep 20;33(5):586. doi: 10.20960/nh.586.
    1. Patel ML, Wakayama LN, Bass MB, Breland JY. Motivational interviewing in eHealth and telehealth interventions for weight loss: A systematic review. Prev Med. 2019 Sep;126:105738. doi: 10.1016/j.ypmed.2019.05.026.
    1. Rubinstein A, Miranda JJ, Beratarrechea A, Diez-Canseco F, Kanter R, Gutierrez L, Bernabé-Ortiz A, Irazola V, Fernandez A, Letona P, Martínez H, Ramirez-Zea M. Effectiveness of an mHealth intervention to improve the cardiometabolic profile of people with prehypertension in low-resource urban settings in Latin America: a randomised controlled trial. The Lancet Diabetes & Endocrinology. 2016 Jan;4(1):52–63. doi: 10.1016/S2213-8587(15)00381-2.
    1. Carrillo-Larco RM, Jiwani SS, Diez-Canseco F, Kanter R, Beratarrechea A, Irazola V, Ramirez-Zea M, Rubinstein A, Martinez H, Miranda JJ, GISMAL Group Implementation Tells Us More Beyond Pooled Estimates: Secondary Analysis of a Multicountry mHealth Trial to Reduce Blood Pressure. JMIR Mhealth Uhealth. 2018 Nov 01;6(11):e10226. doi: 10.2196/10226.
    1. Beratarrechea A, Diez-Canseco F, Fernández A, Kanter R, Letona P, Martinez H, Miranda JJ, Ramirez-Zea M, Rubinstein A. [Acceptability of a mobile health based intervention to modify lifestyles in prehypertensive patients in Argentina, Guatemala and Peru: a pilot study] Rev Peru Med Exp Salud Publica. 2015;32(2):221–9.
    1. Diez-Canseco F, Zavala-Loayza JA, Beratarrechea A, Kanter R, Ramirez-Zea M, Rubinstein A, Martinez H, Miranda JJ. Design and Multi-Country Validation of Text Messages for an mHealth Intervention for Primary Prevention of Progression to Hypertension in Latin America. JMIR Mhealth Uhealth. 2015 Feb 18;3(1):e19. doi: 10.2196/mhealth.3874.
    1. Craig CL, Marshall AL, Sjöström Michael, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381–95. doi: 10.1249/01.MSS.0000078924.61453.FB.
    1. Kabagambe EK, Baylin A, Allan DA, Siles X, Spiegelman D, Campos H. Application of the method of triads to evaluate the performance of food frequency questionnaires and biomarkers as indicators of long-term dietary intake. Am J Epidemiol. 2001 Dec 15;154(12):1126–35. doi: 10.1093/aje/154.12.1126.
    1. Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: Toward an integrative model of change. Journal of Consulting and Clinical Psychology. 1983 Jun;51(3):390–395. doi: 10.1037//0022-006x.51.3.390.
    1. Green BB, Anderson ML, Ralston JD, Catz SL, Cook AJ. Blood pressure 1 year after completion of web-based pharmacist care. JAMA Intern Med. 2013 Jul 08;173(13):1250–2. doi: 10.1001/jamainternmed.2013.1037.
    1. Margolis KL, Asche SE, Dehmer SP, Bergdall AR, Green BB, Sperl-Hillen JM, Nyboer RA, Pawloski PA, Maciosek MV, Trower NK, O'Connor PJ. Long-term Outcomes of the Effects of Home Blood Pressure Telemonitoring and Pharmacist Management on Blood Pressure Among Adults With Uncontrolled Hypertension: Follow-up of a Cluster Randomized Clinical Trial. JAMA Netw Open. 2018 Sep 07;1(5):e181617. doi: 10.1001/jamanetworkopen.2018.1617.
    1. Appel LJ, Clark JM, Yeh H, Wang N, Coughlin JW, Daumit G, Miller ER, Dalcin A, Jerome GJ, Geller S, Noronha G, Pozefsky T, Charleston J, Reynolds JB, Durkin N, Rubin RR, Louis TA, Brancati FL. Comparative effectiveness of weight-loss interventions in clinical practice. N Engl J Med. 2011 Nov 24;365(21):1959–68. doi: 10.1056/NEJMoa1108660.
    1. Adams ZW, Sieverdes JC, Brunner-Jackson B, Mueller M, Chandler J, Diaz V, Patel S, Sox LR, Wilder S, Treiber FA. Meditation smartphone application effects on prehypertensive adults' blood pressure: Dose-response feasibility trial. Health Psychol. 2018 Sep;37(9):850–860. doi: 10.1037/hea0000584.
    1. Bobrow K, Farmer AJ, Springer D, Shanyinde M, Yu L, Brennan T, Rayner B, Namane M, Steyn K, Tarassenko L, Levitt N. 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 Feb 09;133(6):592–600. doi: 10.1161/CIRCULATIONAHA.115.017530.
    1. Hacking D, Haricharan HJ, Brittain K, Lau YK, Cassidy T, Heap M. Hypertension Health Promotion via Text Messaging at a Community Health Center in South Africa: A Mixed Methods Study. JMIR Mhealth Uhealth. 2016 Mar 10;4(1):e22. doi: 10.2196/mhealth.4569.
    1. Patrick K, Raab F, Adams MA, Dillon L, Zabinski M, Rock CL, Griswold WG, Norman GJ. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res. 2009;11(1):e1. doi: 10.2196/jmir.1100.
    1. Shaw RJ, Bosworth HB, Silva SS, Lipkus IM, Davis LL, Sha RS, Johnson CM. Mobile health messages help sustain recent weight loss. Am J Med. 2013 Nov;126(11):1002–9. doi: 10.1016/j.amjmed.2013.07.001.
    1. Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018 May 15;71(19):e127–e248. doi: 10.1016/j.jacc.2017.11.006.
    1. Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health. 2009 Apr;15(3):231–40. doi: 10.1089/tmj.2008.0099.
    1. Leon N, Surender R, Bobrow K, Muller J, Farmer A. Improving treatment adherence for blood pressure lowering via mobile phone SMS-messages in South Africa: a qualitative evaluation of the SMS-text Adherence SuppoRt (StAR) trial. BMC Fam Pract. 2015;16:80. doi: 10.1186/s12875-015-0289-7.
    1. Andersson G, Cuijpers P. Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn Behav Ther. 2009;38(4):196–205. doi: 10.1080/16506070903318960.
    1. Mohr DC, Cuijpers P, Lehman K. Supportive accountability: a model for providing human support to enhance adherence to eHealth interventions. J Med Internet Res. 2011;13(1):e30. doi: 10.2196/jmir.1602.
    1. Lie SS, Karlsen B, Oord ER, Graue M, Oftedal B. Dropout From an eHealth Intervention for Adults With Type 2 Diabetes: A Qualitative Study. J Med Internet Res. 2017 May 30;19(5):e187. doi: 10.2196/jmir.7479.
    1. DiClemente CC, Prochaska JO, Fairhurst SK, Velicer WF, Velasquez MM, Rossi JS. The process of smoking cessation: An analysis of precontemplation, contemplation, and preparation stages of change. Journal of Consulting and Clinical Psychology. 1991 Apr;59(2):295–304. doi: 10.1037//0022-006x.59.2.295.
    1. Pallonen UE, Leskinen L, Prochaska JO, Willey CJ, Kääriäinen R, Salonen JT. A 2-year self-help smoking cessation manual intervention among middle-aged Finnish men: an application of the transtheoretical model. Prev Med. 1994 Jul;23(4):507–14. doi: 10.1006/pmed.1994.1069.

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