Randomized Controlled Trial of Home Telemonitoring of Blood Pressure with an Adapted Tensiometer with SMS Capability

Calderón-Anyosa, Renzo; Tincopa, Jean Pierre; Raza, Mabel; Cárcamo, César

doi:10.3390/ejihpe13020033

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…The data in Table 1 provides a comprehensive overview of the prevalence and characteristics of these suspected diseases (SD) within the community. Table 2 displays 32 prevalent disease symptoms (DS) for five predetermined diseases [17]- [19], it does not provide information on the risk factors or treatment options for these diseases. Therefore, additional research may be necessary to fully understand the implications of these symptoms and how they relate to the prevalent diseases in the community.…”

Section: Methods 21 Forward-backward Chainingmentioning

confidence: 99%

Intelligent decision-making in healthcare telemonitoring via forward-backward chaining and IoT

Fahanani,

Harbiyanti,

Nurvandy

et al. 2024

IJEECS

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Healthcare telemonitoring has emerged as a promising approach to remotely monitor patients remotely, enabling timely intervention and personalized care. Internet of things (IoT) device-generated patient data necessitates innovative solutions for intelligent healthcare decision-making, as current methods struggle to provide timely, context-aware, and data-driven recommendations, resulting in suboptimal patient care. This study aims to develop an intelligent decision-making framework for healthcare telemonitoring by leveraging forward-backward chaining and IoT technology. The research focuses on a system using forward-backward chaining algorithms to analyze real-time patient data from IoT devices. It utilizes machine learning models to adapt to changing conditions and refine decision-making, demonstrating its ability to provide real-time context-aware recommendations. Temperature, blood pressure, oxygen level, and heart rate measurement errors are 2.01%, 1.74 to 2.13%, 0.61%, and 1.45%, respectively. The success rate of early disease diagnosis using an expert system is 81%, with an average application interface responsiveness time of 4.978 s. The integration of IoT data with intelligent decision-making algorithms in healthcare telemonitoring has the potential to revolutionize patient care. However, future work should focus on scalability and interoperability for diverse healthcare settings.

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Section: Methods 21 Forward-backward Chainingmentioning

confidence: 99%

Intelligent decision-making in healthcare telemonitoring via forward-backward chaining and IoT

Fahanani,

Harbiyanti,

Nurvandy

et al. 2024

IJEECS

View full text Add to dashboard Cite

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“…Thematic synthesis based on the type of technology. Chew et al[73], Abdullah et al[77], Calderón et al[80], Sin et al[81], Teo et al[87] …”

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confidence: 99%

How Is Telehealth Currently Being Utilized to Help in Hypertension Management within Primary Healthcare Settings? A Scoping Review

Idris,

Nugraheni,

Rachmawati

et al. 2024

IJERPH

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Telehealth has improved patient access to healthcare services and has been shown to have a positive impact in various healthcare settings. In any case, little is understood regarding the utilization of telehealth in hypertension management in primary healthcare (PHC) settings. This study aimed to identify and classify information about the types of interventions and types of telehealth technology in hypertension management in primary healthcare. A scoping review based on PRISMA-ScR was used in this study. We searched for articles in four databases: Pubmed, Scopus, Science Direct, and Embase in English. The selected articles were published in 2013–2023. The data were extracted, categorized, and analyzed using thematic analysis. There were 1142 articles identified and 42 articles included in this study. Regarding the proportions of studies showing varying trends in the last ten years, most studies came from the United States (US) (23.8%), were conducted in urban locations (33.3%), and had a quantitative study approach (69%). Telehealth interventions in hypertension management are dominated by telemonitoring followed by teleconsultation. Asynchronous telehealth is becoming the most widely used technology in managing hypertension in primary care settings. Telehealth in primary care hypertension management involves the use of telecommunications technology to monitor and manage blood pressure and provide medical advice and counselling remotely.

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The Effectiveness of Telemedicine in Hypertension Management of Adults in Rural Communities: A Systematic Review and Meta‐Analysis

Dones,

Velasquez,

Dacuya

et al. 2024

Physiotherapy Res Intl

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BackgroundTelemedicine has emerged as an effective approach for managing hypertension, particularly in rural areas where healthcare access is limited. This review evaluates telemedicine's role in providing essential remote healthcare services for hypertension management.ObjectiveWe determined the effectiveness of telemedicine versus the usual care in hypertension management among adults living in rural settings.MethodsWe conducted a systematic review of randomized controlled trials (RCTs) focusing on adults aged 18 and older with hypertension (blood pressure ≥ 140/90 mmHg) using telehealth services in rural or community‐based settings. We searched nine databases, including PubMed, ScienceDirect, and ProQuest, up to April 2024, without restrictions on language or publication year, focusing only on human subjects. Five pairs of reviewers independently screened and selected studies using predefined eligibility criteria. Methodological quality was assessed using the Revised Cochrane Collaboration Risk of Bias tool, and data synthesis was performed using a random‐effects model due to study heterogeneity. Evidence quality was evaluated using the GRADE approach.ResultsNine randomized trials were included. Pooled data showed no clinically significant differences between telehealth and control groups in improving systolic blood pressure (SBP), diastolic blood pressure (DBP), and their changes over time. The mean difference (MD) of SBP in five trials was 0.78 mmHg lower (95% CI: 2.49 lower to 0.94 higher), and the SBP change showed a mean reduction of 2.29 mmHg (95% CI: 4.76 lower to 0.19 higher). DBP in five trials had a mean increase of 0.46 mmHg (95% CI: 0.73 lower to 1.64 higher), and DBP change in six trials showed a mean decrease of 0.83 mmHg (95% CI: 2.34 lower to 0.68 higher). Additionally, telehealth showed varying impacts on BMI and HbA1c levels, with one study reporting a higher BMI increase in the intervention group, while two other studies indicated that mobile health improved HbA1c levels and controlled blood pressure as effectively as standard care.LimitationsStudy heterogeneity, selection, and performance biases, as well as varying healthcare contexts, limited the generalizability of findings.ConclusionTelemedicine is as effective as usual care in managing hypertension among adults in rural settings, providing a viable solution for improving healthcare access in these areas. Future research should address biases and explore long‐term impacts to optimize telemedicine's effectiveness in diverse populations.

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Randomized Controlled Trial of Home Telemonitoring of Blood Pressure with an Adapted Tensiometer with SMS Capability

Cited by 4 publications

References 21 publications

Intelligent decision-making in healthcare telemonitoring via forward-backward chaining and IoT

Intelligent decision-making in healthcare telemonitoring via forward-backward chaining and IoT

How Is Telehealth Currently Being Utilized to Help in Hypertension Management within Primary Healthcare Settings? A Scoping Review

The Effectiveness of Telemedicine in Hypertension Management of Adults in Rural Communities: A Systematic Review and Meta‐Analysis

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