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

Kirsty Bobrow, Thomas Brennan, David Springer, Naomi S Levitt, Brian Rayner, Mosedi Namane, Ly-Mee Yu, Lionel Tarassenko, Andrew Farmer, Kirsty Bobrow, Thomas Brennan, David Springer, Naomi S Levitt, Brian Rayner, Mosedi Namane, Ly-Mee Yu, Lionel Tarassenko, Andrew Farmer

Abstract

Background: Interventions to support people with hypertension in attending clinics and taking their medication have potential to improve outcomes, but delivery on a wide scale and at low cost is challenging. Some trials evaluating clinical interventions using short message service (SMS) text-messaging systems have shown important outcomes, although evidence is limited. We have developed a novel SMS system integrated with clinical care for use by people with hypertension in a low-resource setting. We aim to test the efficacy of the system in improving blood pressure control and treatment adherence compared to usual care.

Methods/design: The SMS Text-message Adherence suppoRt trial (StAR) is a pragmatic individually randomised three-arm parallel group trial in adults treated for hypertension at a single primary care centre in Cape Town, South Africa. The intervention is a structured programme of clinic appointment, medication pick-up reminders, medication adherence support and hypertension-related education delivered remotely using an automated system with either informational or interactive SMS text-messages. Usual care is supplemented by infrequent non-hypertension related SMS text-messages. Participants are 1:1:1 individually randomised, to usual care or to one of the two active interventions using minimisation to dynamically adjust for gender, age, baseline systolic blood pressure, years with hypertension, and previous clinic attendance. The primary outcome is the change in mean systolic blood pressure at 12-month follow-up from baseline measured with research staff blinded to trial allocation. Secondary outcomes include the proportion of patients with 80% or more of days medication available, proportion of participants achieving a systolic blood pressure less than 140 mmHg and a diastolic blood pressure less than 90 mmHg, hospital admissions, health status, retention in clinical care, satisfaction with treatment and care, and patient related quality of life. Anonymised demographic data are collected on non-participants.

Discussion: The StAR trial uses a novel, low cost system based on widely available mobile phone technology to deliver the SMS-based intervention, manage communication with patients, and measure clinically relevant outcomes. The results will inform implementation and wider use of mobile phone based interventions for health care delivery in a low-resource setting.

Trial registration: NCT02019823.

Figures

Figure 1
Figure 1
CONSORT diagram for SMS-text Adherence suppoRt Trial (StAR).
Figure 2
Figure 2
Process of intervention development adapted from Smith et al. [[18]].

References

    1. Lawes CMM, Vander Hoorn S, Rodgers A. et al.Global burden of blood-pressure-related disease, 2001. Lancet. 2008;371:1513–1518. doi: 10.1016/S0140-6736(08)60655-8.
    1. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H. 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 2010. Lancet. 2012;380:2224–2260. doi: 10.1016/S0140-6736(12)61766-8. 1.
    1. Lewington S, Clarke R, Qizilbash N. et al.Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360:1903–1913.
    1. Collins R, Peto R, MacMahon S. et al.Blood pressure, stroke, and coronary heart disease. Part 2. Lancet. 1990;335:827–838. doi: 10.1016/0140-6736(90)90944-Z.
    1. Staessen JAJ, Wang JGJ, Thijs LL. Cardiovascular protection and blood pressure reduction: a meta-analysis. Lancet. 2001;358:1305–1315. doi: 10.1016/S0140-6736(01)06411-X.
    1. Staessen JA, Li Y, Thijs L. et al.Blood pressure reduction and cardiovascular prevention: an update including the 2003–2004 secondary prevention trials. Hypertens Res. 2005;28:385–407. doi: 10.1291/hypres.28.385.
    1. Anand SS, Yusuf S. Stemming the global tsunami of cardiovascular disease. Lancet. 2011;377:529–532. doi: 10.1016/S0140-6736(10)62346-X.
    1. Kearney PM, Whelton M, Reynolds K. et al.Global burden of hypertension: analysis of worldwide data. Lancet. 2005;365:217–223.
    1. Tibazarwa K, Ntyintyane L, Sliwa K. et al.A time bomb of cardiovascular risk factors in South Africa: results from the heart of Soweto study “Heart Awareness Days”. Int J Cardiol. 2009;132:7–7.
    1. Rayner B, Blockman M, Baines D. et al.A survey of hypertensive practices at two community health centres in Cape Town. S Afr Med J. 2007;97:280–284.
    1. Whitworth JA. World Health Organization, International Society of Hypertension Writing Group. 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens. 2003;21:1983–1992.
    1. Neal B, MacMahon S, Chapman N. Effects of ACE inhibitors, calcium antagonists, and other blood-pressure-lowering drugs: results of prospectively designed overviews of randomised trials. Blood Pressure Lowering Treatment Trialists’ Collaboration. Lancet. 2000;356:1955–1964.
    1. Haynes R, Ackloo E, Sahota N. et al.Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 2008;2:CD000011.
    1. Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol. 2011;15:1–39.
    1. Free C, Phillips G, Galli L. et al.The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10:e1001362. doi: 10.1371/journal.pmed.1001362.
    1. Contreras EEM, de la Figuera von Wichmann MM, Guillén VVG. et al.Effectiveness of an intervention to provide information to patients with hypertension as short text messages and reminders sent to their mobile phone (HTA-Alert) Aten Primaria. 2004;34:399–405.
    1. Seedat YK, Croasdale MA, Milne FJ. et al.South African hypertension guideline 2006. S Afr Med J. 2006;96:337–362.
    1. Smith SM, Murchie P, Devereux G. et al.Developing a complex intervention to reduce time to presentation with symptoms of lung cancer. Br J Gen Pract. 2012;62:605–615.
    1. Campbell NC, Murray E, Darbyshire J. et al.Designing and evaluating complex interventions to improve health care. BMJ. 2007;334:455–459. doi: 10.1136/.
    1. Michie S, Richardson M, Johnston M. et al.The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46:81–95. doi: 10.1007/s12160-013-9486-6.
    1. Directorate DOHI. NHS Information Governance: Information Risk Management. London: Department of Health; 2010.
    1. Westhoff TH, Schmidt S, Zidek W. et al.Validation of the Stabil-O-Graph blood pressure self-measurement device. J Hum Hypertens. 2007;22:233–235.
    1. Schulze MB, Kroke A, Boeing H. Differences of blood pressure estimates between consecutive measurements on one occasion: implications for inter-study comparability of epidemiologic studies. Eur J Epidemiol. 2000;16:891–898. doi: 10.1023/A:1011020823807.
    1. Steiner JF, Prochazka AV. The assessment of refill compliance using pharmacy records: methods, validity, and applications. J Clin Epidemiol. 1997;50:105–116. doi: 10.1016/S0895-4356(96)00268-5.
    1. Chowdhury R, Khan H, Heydon E, Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences. Eur Heart J. Published Online First: 1 August 2013. doi:10.1093/eurheartj/eht295.
    1. Group E. EuroQol: a new facility for the measurement of health related quality of life. Health Pol. 2001;16:199–208.
    1. Wouters E, Heunis C, van Rensburg D. et al.Patient satisfaction with antiretroviral services at primary health-care facilities in the Free State, South Africa – a two-year study using four waves of cross-sectional data. BMC Health Serv Res. 2008;8:210. doi: 10.1186/1472-6963-8-210.
    1. Bhargava A, Booysen FL. Healthcare infrastructure and emotional support are predictors of CD4 cell counts and quality of life indices of patients on antiretroviral treatment in Free State Province, South Africa. CAIC. 2010;22:1–9.
    1. Scheepers E, Christofides N. Soul City 4 Impact Evaluation Hypertension. Soul City: Johannesburg; 2001.
    1. Tomlinson M, Rotheram-Borus MJ, Swartz L. et al.Scaling up mHealth: where is the evidence? PLoS Med. 2013;10:e1001382. doi: 10.1371/journal.pmed.1001382.

Source: PubMed

3
Sottoscrivi