Post-intervention qualitative assessment of mobile health technology to manage hypertension among Ghanaian stroke survivors

Protocol for a mixed-methods study to explore implementation outcomes of the Phone-based Interventions under Nurse Guidance after Stroke (PINGS-II) across 10 hospitals in Ghana

BACKGROUND

Stroke survivors are at a substantially higher risk for adverse vascular events driven partly by poorly controlled vascular risk factors. Mobile health interventions supported by task shifting strategies have been feasible to test in small pilot trials in low-income settings to promote vascular risk reduction after stroke. However, real-world success and timely implementation of such interventions remain challenging, necessitating research to bridge the know-do gap and expedite improvements in stroke management. The Phone-based Interventions under Nurse Guidance after Stroke (PINGS-II) is a nurse-led mHealth intervention for blood pressure control among stroke survivors, currently being assessed for efficacy in a hybrid clinical trial across 10 hospitals in Ghana compared with usual care. This protocol aims to assess implementation outcomes such as feasibility, appropriateness, acceptability, fidelity, cost and implementation facilitators and barriers of the PINGS-II intervention.

METHODS AND ANALYSIS

This study uses descriptive mixed methods. Qualitative data to be collected include in-depth interviews and FGDs with patients who had a stroke on the PINGS-II intervention, as well as key informant interviews with medical doctors and health policy actors (implementation context, barriers and facilitators). Data will be analysed by thematic analysis. Quantitative data sources include structured questionnaires for clinicians (feasibility, acceptability and appropriateness), and patients who had a stroke (fidelity and costs). Analysis will include summary statistics like means, medians, proportions and exploratory tests of association including χ2 analysis.

ETHICS AND DISSEMINATION

Ethics approval was obtained from the Committee for Human Research Publication and Ethics at the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Voluntary written informed consent will be obtained from all participants. All the rights of the participants and ethical principles guiding scientific research shall be adhered to. Findings from the study will be presented in scientific conferences and published in a peer-reviewed scientific journal. A dissemination meeting will be held with relevant agencies of the Ghana Ministry of Health, clinicians, patient group representatives, and non-governmental organisations.

Exploring the lived experiences of family caregivers of patients with stroke in Africa: a scoping review of qualitative evidence

OBJECTIVE

The burden of stroke is immense in African countries, with post-stroke care usually becoming the responsibility of family. This review sought to determine the current breadth and depth of qualitative evidence regarding the lived experiences of family caregivers of patients with stroke in Africa.

METHODS

Informed by Joanna Briggs Institute (JBI) methodology for scoping reviews, six databases were searched. Included articles were appraised for quality using the JBI checklist. A priori themes developed using the study objectives were used to synthesize study findings.

RESULTS

The review included 22 articles, which outlined key patterns in stroke outcomes with most articles focused on rehabilitation and the experiences, outcomes, burdens, and coping mechanisms of caregiving. The intersectionality of socio-economic status, socio-political structures, and religious or traditional beliefs, attitudes, and practices characterized etiology beliefs, treatment trajectories of stroke, and caregiving role assignment. Whereas burdens were driven by limited resources, adopted coping strategies involved spiritual or religious beliefs, optimism, resilience, and social support networks.

CONCLUSIONS

Family caregivers' values must be acknowledged, supported, and integrated into the traditional healthcare system to provide comprehensive stroke care. Caregivers' health and well-being should be given more attention given their necessary contribution to stroke survivorship in Africa.

A Scoping Review of mHealth Interventions for Secondary Prevention of Stroke: Implications for Policy and Practice

Secondary prevention is a major priority for those living with stroke and may be improved through the use of mobile Health (mHealth) interventions. While evidence for the effectiveness of mHealth interventions for secondary prevention of stroke is growing, little attention has been given to the translation of these interventions into real-world use. In this review, we aimed to provide an update on the effectiveness of mHealth interventions for secondary prevention of stroke, and investigate their translation into real-world use. Four electronic databases and the gray literature were searched for randomized controlled trials of mHealth interventions for secondary prevention of stroke published between 2010 and 2023. Qualitative and mixed-methods evaluations of the trials were also included. Data were extracted regarding study design, population, mHealth technology involved, the intervention, and outcomes. Principal researchers from these trials were also contacted to obtain further translational information. From 1151 records, 13 randomized controlled trials and 4 evaluations were identified; sample sizes varied widely (median, 56; range, 24-4298). Short message service messages (9/13) and smartphone applications (6/13) were the main technologies used to deliver interventions. Primary outcomes of feasibility of the intervention were achieved in 4 trials, and primary outcomes of changes in risk factors, lifestyle behaviors, and adherence to medication improved in 6 trials. Only 1 trial had a hard end point (ie, stroke recurrence) as a primary outcome, and no significant differences were observed between groups. There was evidence for only 1 intervention being successfully translated into real-world use. Further evidence is required on the clinical effectiveness of mHealth interventions for preventing recurrent stroke, and the associated delivery costs and cost-effectiveness, before adoption into real-world settings.

Preferences and willingness-to-pay for a blood pressure telemonitoring program using a discrete choice experiment

This study aimed to elicit the preferences and willingness-to-pay for blood pressure (BP) telemonitoring programs. This study also investigated the different factors or participant characteristics that could influence preferences and choice behaviors. Participants with hypertension were identified from an online survey panel demographically representative of Singapore's general population. Participants completed a discrete choice experiment (DCE) with 12 choice sets, selecting their preferred BP monitoring program differing on five attributes: mode of consultation, BP machine type (with Bluetooth or not), BP machine price, monthly fee, and program duration. The base reference population (male, married, higher income, more formal education years, full-time worker, aged 55 to <65 years, and digital skills score of 36) preferred teleconsultation over in-person consultation, Bluetooth feature, lower machine price, lower monthly fee, and shorter program duration. A subgroup of participants can be considered teleconsultation-resistant, and three demographic factors were associated with lower preference for teleconsultation: female, fewer formal education years, and lower income. Considering the reference population and Bluetooth attribute, participants were willing to pay 66 SGD (~49 USD) additional for the machine to obtain the Bluetooth feature. Considering the reference population and teleconsultation attribute, participants were willing to pay 6.80 SGD (~5.10 USD) extra monthly fee for a program using teleconsultation. Here we report that amongst participants with hypertension, there is strong preference for the use of teleconsultation and a BP machine with Bluetooth feature in a BP monitoring program. However, a subgroup of participants are teleconsultation-resistant and would prefer in-person consultation.

mHealth in sub-Saharan Africa and Europe: A systematic review comparing the use and availability of mHealth approaches in sub-Saharan Africa and Europe

Background

mHealth can help with healthcare service delivery for various health issues, but there's a significant gap in the availability and use of mHealth systems between sub-Saharan Africa and Europe, despite the ongoing digitalization of the global healthcare system.

Objective

This work aims to compare and investigate the use and availability of mHealth systems in sub-Saharan Africa and Europe, and identify gaps in current mHealth development and implementation in both regions.

Methods

The study adhered to the PRISMA 2020 guidelines for article search and selection to ensure an unbiased comparison between sub-Saharan Africa and Europe. Four databases (Scopus, Web of Science, IEEE Xplore, and PubMed) were used, and articles were evaluated based on predetermined criteria. Details on the mHealth system type, goal, patient type, health concern, and development stage were collected and recorded in a Microsoft Excel worksheet.

Results

The search query produced 1020 articles for sub-Saharan Africa and 2477 articles for Europe. After screening for eligibility, 86 articles for sub-Saharan Africa and 297 articles for Europe were included. To minimize bias, two reviewers conducted the article screening and data retrieval. Sub-Saharan Africa used SMS and call-based mHealth methods for consultation and diagnosis, mainly for young patients such as children and mothers, and for issues such as HIV, pregnancy, childbirth, and child care. Europe relied more on apps, sensors, and wearables for monitoring, with the elderly as the most common patient group, and the most common health issues being cardiovascular disease and heart failure.

Conclusion

Wearable technology and external sensors are heavily used in Europe, whereas they are seldom used in sub-Saharan Africa. More efforts should be made to use the mHealth system to improve health outcomes in both regions, incorporating more cutting-edge technologies like wearables internal and external sensors. Undertaking context-based studies, identifying determinants of mHealth systems use, and considering these determinants during mHealth system design could enhance mHealth availability and utilization.

Influence of "Hospital-Community-Family" Integrated Management on Blood Pressure, Quality of Life, Anxiety and Depression in Hypertensive Patients

Objective

To explore the Influence of "hospital-community-family" integrated management on blood pressure, quality of life, anxiety and depression in hypertensive patients.

Methods

A total of 60 patients with hypertension were treated in our hospital from July 2019 to July 2021. The patients were randomly divided into control group (n =30) and study group (n =30). The former accepts routine management, while the latter accepts "hospital-community-family" integrated management. Nursing satisfaction, blood pressure, disease awareness rate, anxiety and depression scores, disease control ability and quality of life scores were compared.

Results

First of all, we compared the nursing satisfaction: the study group was very satisfied in 25 cases, satisfactory in 4 cases, general in 1 case, the satisfaction rate was 100.00%, while in the control group, 10 cases were very satisfied, 8 cases were satisfied, 7 cases were general, and 5 cases were dissatisfied, the satisfaction rate was 83.33%; The nursing satisfaction of the study group was higher than that of the control group (P <0.05). Secondly, we compared the level of blood pressure. There was no significant difference before management (P >0.05) but the blood pressure decreased after treatment. In the control group, the level of blood pressure in the study group was lower than that in the control group (P <0.05). In terms of disease awareness rate the scores of hypertension related knowledge hypertension harmfulness community management methods regular reexamination and blood pressure monitoring in the study group were significantly higher than those in the control group (P <0.05). There was no significant difference in anxiety and depression scores before treatment (P >0.05), but decreased after treatment. Compared with the control group, the anxiety and depression scores of the study group were lower (P <0.05). In terms of disease control ability, the total scores of diet management, medication management, behavior management and information management in the study group were higher compared to the control group (P <0.05). Finally, we compared the scores of qualities of life. Before management, there exhibited no significant difference (P >0.05). After management, the scores of quality of life decreased. Compared to the control group, the scores of physiological function, psychological function, social function and health self-cognition in the study group were lower than those in control group (P <0.05).

Conclusion

The application of integrated "hospital, community and family" management can vertically integrate medical resources and establish a truly effective hierarchical treatment model. Integrated "hospital-community-family" management can improve patient compliance with treatment, enhance patients' self-management ability and confidence, and improve the management efficiency of medical staff.

Use of technology to prevent, detect, manage and control hypertension in sub-Saharan Africa: a systematic review

OBJECTIVE

To identify and assess the use of technologies, including mobile health technology, internet of things (IoT) devices and artificial intelligence (AI) in hypertension healthcare in sub-Saharan Africa (SSA).

DESIGN

Systematic review.

DATA SOURCES

Medline, Embase, Scopus and Web of Science.

ELIGIBILITY CRITERIA

Studies addressing outcomes related to the use of technologies for hypertension healthcare (all points in the healthcare cascade) in SSA.

METHODS

Databases were searched from inception to 2 August 2021. Screening, data extraction and risk of bias assessment were done in duplicate. Data were extracted on study design, setting, technology(s) employed and outcomes. Blood pressure (BP) reduction due to intervention was extracted from a subset of randomised controlled trials. Methodological quality was assessed using the Mixed Methods Appraisal Tool.

RESULTS

1717 hits were retrieved, 1206 deduplicated studies were screened and 67 full texts were assessed for eligibility. 22 studies were included, all reported on clinical investigations. Two studies were observational, and 20 evaluated technology-based interventions. Outcomes included BP reduction/control, treatment adherence, retention in care, awareness/knowledge of hypertension and completeness of medical records. All studies used mobile technology, three linked with IoT devices. Short Message Service (SMS) was the most popular method of targeting patients (n=6). Moderate BP reduction was achieved in three randomised controlled trials. Patients and healthcare providers reported positive perceptions towards the technologies. No studies using AI were identified.

CONCLUSIONS

There are a range of successful applications of key enabling technologies in SSA, including BP reduction, increased health knowledge and treatment adherence following targeted mobile technology interventions. There is evidence to support use of mobile technology for hypertension management in SSA. However, current application of technologies is highly heterogeneous and key barriers exist, limiting efficacy and uptake in SSA. More research is needed, addressing objective measures such as BP reduction in robust randomised studies.

PROSPERO REGISTRATION NUMBER

CRD42020223043.

Low blood pressure levels & incident stroke risk among elderly Ghanaians with hypertension

BACKGROUND

Clinical trial data indicate that more intensive blood pressure (BP) lowering below standard cut-off targets is associated with lower risks of strokes in the elderly. There is a relative paucity of real-world practice data on this issue, especially among Africans.

OBJECTIVE

To assess BP control rates, its determinants, and whether a lower BP < 120/80 mmHg is associated with a lower incident stroke risk among elderly Ghanaians with hypertension.

METHODS

We retrospectively evaluated data, which were prospectively collected as part of a cohort study involving adults with hypertension and/or diabetes in 5 Ghanaian hospitals. BP control was defined using the JNC-8 guideline of <150/90 mmHg for elderly with hypertension aged >60 years or 140/90 mmHg for those with diabetes mellitus. Risk factors for poor BP control were assessed using multivariable logistic regression models. We calculated incident stroke risk over an 18-month follow-up at 3 BP cut-off's of <120/80, 120-159/80-99, and > 160/100 mmHg.

RESULTS

Of the 1365 elderly participants with hypertension, 38.2% had diabetes mellitus and 45.8% had uncontrolled BP overall. Factors associated with uncontrolled BP were higher number of antihypertensive medications prescribed adjusted odds ratio of 1.45 (95% CI: 1.27-1.66), and having diabetes 2.56 (1.99-3.28). Among the elderly, there were 0 stroke events/100py for BP < 120/80 mmHg, 1.98 (95%CI: 1.26-2.98) for BP between 120 and 159/80-99 mmHg and 2.46 events/100py (95% CI: 1.20-4.52 at BP > 160/100 mmHg.

CONCLUSION

A lower BP target <120/80 mmHg among elderly Ghanaians with hypertension is associated with a signal of lower incident stroke risk. Pragmatic trials are needed to evaluate lower BP targets on stroke incidence in Africa.

Health workers' perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis

BACKGROUND

Mobile health (mHealth), refers to healthcare practices supported by mobile devices, such as mobile phones and tablets. Within primary care, health workers often use mobile devices to register clients, track their health, and make decisions about care, as well as to communicate with clients and other health workers. An understanding of how health workers relate to, and experience mHealth, can help in its implementation.

OBJECTIVES

To synthesise qualitative research evidence on health workers' perceptions and experiences of using mHealth technologies to deliver primary healthcare services, and to develop hypotheses about why some technologies are more effective than others.

SEARCH METHODS

We searched MEDLINE, Embase, CINAHL, Science Citation Index and Social Sciences Citation Index in January 2018. We searched Global Health in December 2015. We screened the reference lists of included studies and key references and searched seven sources for grey literature (16 February to 5 March 2018). We re-ran the search strategies in February 2020. We screened these records and any studies that we identified as potentially relevant are awaiting classification.

SELECTION CRITERIA

We included studies that used qualitative data collection and analysis methods. We included studies of mHealth programmes that were part of primary healthcare services. These services could be implemented in public or private primary healthcare facilities, community and workplace, or the homes of clients. We included all categories of health workers, as well as those persons who supported the delivery and management of the mHealth programmes. We excluded participants identified as technical staff who developed and maintained the mHealth technology, without otherwise being involved in the programme delivery. We included studies conducted in any country.

DATA COLLECTION AND ANALYSIS

We assessed abstracts, titles and full-text papers according to the inclusion criteria. We found 53 studies that met the inclusion criteria and sampled 43 of these for our analysis. For the 43 sampled studies, we extracted information, such as country, health worker category, and the mHealth technology. We used a thematic analysis process. We used GRADE-CERQual to assess our confidence in the findings.

MAIN RESULTS

Most of the 43 included sample studies were from low- or middle-income countries. In many of the studies, the mobile devices had decision support software loaded onto them, which showed the steps the health workers had to follow when they provided health care. Other uses included in-person and/or text message communication, and recording clients' health information. Almost half of the studies looked at health workers' use of mobile devices for mother, child, and newborn health. We have moderate or high confidence in the following findings. mHealth changed how health workers worked with each other: health workers appreciated being more connected to colleagues, and thought that this improved co-ordination and quality of care. However, some described problems when senior colleagues did not respond or responded in anger. Some preferred face-to-face connection with colleagues. Some believed that mHealth improved their reporting, while others compared it to "big brother watching". mHealth changed how health workers delivered care: health workers appreciated how mHealth let them take on new tasks, work flexibly, and reach clients in difficult-to-reach areas. They appreciated mHealth when it improved feedback, speed and workflow, but not when it was slow or time consuming. Some health workers found decision support software useful; others thought it threatened their clinical skills. Most health workers saw mHealth as better than paper, but some preferred paper. Some health workers saw mHealth as creating more work. mHealth led to new forms of engagement and relationships with clients and communities: health workers felt that communicating with clients by mobile phone improved care and their relationships with clients, but felt that some clients needed face-to-face contact. Health workers were aware of the importance of protecting confidential client information when using mobile devices. Some health workers did not mind being contacted by clients outside working hours, while others wanted boundaries. Health workers described how some community members trusted health workers that used mHealth while others were sceptical. Health workers pointed to problems when clients needed to own their own phones. Health workers' use and perceptions of mHealth could be influenced by factors tied to costs, the health worker, the technology, the health system and society, poor network access, and poor access to electricity: some health workers did not mind covering extra costs. Others complained that phone credit was not delivered on time. Health workers who were accustomed to using mobile phones were sometimes more positive towards mHealth. Others with less experience, were sometimes embarrassed about making mistakes in front of clients or worried about job security. Health workers wanted training, technical support, user-friendly devices, and systems that were integrated into existing electronic health systems. The main challenges health workers experienced were poor network connections, access to electricity, and the cost of recharging phones. Other problems included damaged phones. Factors outside the health system also influenced how health workers experienced mHealth, including language, gender, and poverty issues. Health workers felt that their commitment to clients helped them cope with these challenges.

AUTHORS' CONCLUSIONS

Our findings propose a nuanced view about mHealth programmes. The complexities of healthcare delivery and human interactions defy simplistic conclusions on how health workers will perceive and experience their use of mHealth. Perceptions reflect the interplay between the technology, contexts, and human attributes. Detailed descriptions of the programme, implementation processes and contexts, alongside effectiveness studies, will help to unravel this interplay to formulate hypotheses regarding the effectiveness of mHealth.