Background: The potential of mobile-health (mHealth) technology for the management of hypertension among stroke survivors in Africa remains unexplored. We assessed whether an mHealth technology-enabled, nurse-guided intervention initiated among stroke patients within one month of symptom onset is effective in improving their blood pressure (BP) control. Methods: A two-arm pilot cluster randomized controlled trial involving 60 stroke survivors, ≥18 years, with BP ≥140/90 mmHg at screening/enrollment visit at a medical center in Ghana. Participants in the intervention arm (n = 30) received a Blue-toothed BP device and smartphone with an App for monitoring BP measurements and medication intake under nurse guidance for three months after which intervention was withdrawn. Control arm (n = 30) received usual care. Primary outcome measure was proportion with clinic BP < 140/90 mmHg at month 9; secondary outcomes included medication adherence. Findings: Mean ± SD age was 55 ± 13 years, 65% males. Two participants on intervention and three in control group were lost to follow-up. At month 9, proportion on the intervention versus controls with BP < 140/90 mmHg was 14/30 (46.7%) versus 12/30 (40.0%), p = 0.79 by intention-to-treat; systolic BP < 140 mmHg was 22/30 (73.3%) versus 13/30 (43.3%), p = 0.035. Mean ± SD medication possession ratio was 0.95 ± 0.16 on intervention versus 0.98 ± 0.24 in the control arm, p = 0.56. Interpretation: We demonstrate feasibility and signal of improvement in BP control among stroke survivors in a resource-limited setting via an mHealth intervention. Larger scale studies are warranted. Trial registration: NCT02568137. Registered on 13 July 2015 at ClinicalTrials.gov.

Background and Purpose—: Stroke exacts an immense toll in sub-Saharan Africa where there are few resources, and stroke prevention research is limited. The aim of this study is to test the feasibility and preliminary efficacy of an m-Health technology–enabled, nurse-guided intervention in improving blood pressure (BP) control among Ghanaian stroke patients within 1 month of symptom onset. Methods—: We conducted a 2-arm cluster pilot randomized controlled trial involving 60 recent stroke survivors encountered within a single tertiary medical system in Ghana. Subjects in the intervention arm (n=30) received a Blue-toothed UA-767Plus BT BP device and smartphone for monitoring and reporting BP measurements and medication intake for 3 months compared with standard of care (n=30). Primary outcome measure was systolic BP <140 mm Hg at month 3; secondary outcomes included medication adherence and autonomous self-regulation. Analysis accounting for clustering was made using generalized linear mixed model by intention to treat. Results—: Mean±SD age was 55±13 years, 65% male. Systolic BP <140 mm Hg at month 3 was found in 20/30 subjects (66.7%) in the intervention arm versus 14/30 subjects (46.7%) in the control arm ( P =0.12). Medication possession ratio scores at month 3 were better in the intervention (0.88±0.40) versus control (0.64±0.45) arm ( P =0.03). One subject in control arm died from a recurrent hemorrhagic stroke. Conclusions—: It is feasible to conduct an m-Health–based, nurse-guided BP control intervention among recent stroke patients in sub-Saharan Africa. We observed a potential signal of efficacy with the intervention, which will need to be tested in a future large definitive study. Clinical Trial Registration—: URL: https://www.clinicaltrials.gov . Unique identifier: NCT02568137.

There is an increasing recognition of the importance of including benefit sharing in research programmes in order to ensure equitable and just distribution of the benefits arising from research. Whilst there are global efforts to promote benefit sharing when using non-human biological resources, benefit sharing plans and implementation do not yet feature prominently in research programmes, funding applications or requirements by ethics review boards. Whilst many research stakeholders may agree with the concept of benefit sharing, it can be difficult to operationalise benefit sharing within research programmes. We present a framework designed to assist with identifying benefit sharing opportunities in research programmes. The framework has two dimensions: the first represents microlevel, mesolevel and macrolevel stakeholders as defined using a socioecological model; and the second identifies nine different types of benefit sharing that might be achieved during a research programme. We provide an example matrix identifying different types of benefit sharing that might be undertaken during genomics research, and present a case study evaluating benefit sharing in Africa during the SARS-CoV-2 pandemic. This framework, with examples, is intended as a practical tool to assist research stakeholders with identifying opportunities for benefit sharing, and inculcating intentional benefit sharing in their research programmes from inception.