GramHealth: A bottom-up approach to provide preventive healthcare services for unreached community

Ahmed, Ashir; Kabir, Lutfe; Kai, Eiko; Inoue, Sozo

doi:10.1109/embc.2013.6609838

Cited by 11 publications

(23 citation statements)

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“…Collectively they reported the spectrum of factors that affect patient adoption. The papers reported a variety of m-health uses, including assisting communication and information management [18,22,24,28,31,33,40,54,61], HIV/AIDs and tuberculosis drug adherence [21, 26, 27, 38, 39, 44, 45, 48, 50-52, 57-60, 67-69], maternal health support [8,19,21,25,27,29,41,49,50,62], mental health support [35,43,55,64], and monitoring malaria [47,65]. Data were abstracted and adoption factors initially summarised and grouped under headings based on 11 common uses of m-Health extracted from the results.…”

Section: Resultsmentioning

confidence: 99%

Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework

Addotey-Delove¹,

Scott²,

Mars³

2020

Preprint

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Background: Patient perceptions and experiences of mobile health (m-health) systems have been recognised as an important element to consider in the adoption of m-health based technologies. Though much research supports this, published studies that identify m-health use by patients appear to highlight these issues in an indirect rather than holistic manner. Consequently, there is no encompassing framework that serves as a guide for effective implementation and maximum adoption of m-health from the perspective of patients in the developing world. This review documents patient adoption issues specifically and uses these to develop a proposed framework of patient adoption issues for m-health in the developing world. Methods: A structured literature search was conducted using PubMed and Scopus. For PubMed a consolidated search string combined ‘MeSH’ terms and ‘All Fields’ terms for selected keywords. For Scopus an equally consolidated search string was used. The searches were restricted to articles in English during the period January 2000 to December 2019 and relevant to the developing world. Duplicate articles were removed. Titles and abstracts were screened by all authors for inclusion, and those studies that met the inclusion criteria were selected for full-text review. Review and data abstraction was performed by two authors.Results: Fifty four (54) articles reported factors that impact patient adoption. Review and data abstraction identified specific factors, initially classified under 22 categories, that promote or impede m-health adoption in the developing world. Continued iterative review and discussion reduced these to 7 primary categories, with 21 sub-categories, which were used to design the proposed framework.Conclusions: The review showed: great inconsistency in the approach and tools used in published studies; multiple factors impact patient adoption of m-health in the developing world; the specific factors vary from setting to setting (e.g., country, rurality, mobile device type) and by recency of findings. Successful adoption of m-health by patients in the developing world critically depends on addressing the factors identified in the proposed framework and assessing them prior to implementation of m-health initiatives in any specific setting. The proposed framework will serve to increase the consistency of patient adoption studies, form the basis for informed policy decisions by stakeholders, and provide the foundation for greater success of future m-health implementations for patients in the developing world.

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Section: Resultsmentioning

confidence: 99%

Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework

Addotey-Delove¹,

Scott²,

Mars³

2020

Preprint

View full text Add to dashboard Cite

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“…It was prototyped as a portable-clinic box equipped with major diagnostic tools integrating a simple equation to categorize patients into four groups depending on the level of action or attention required. The BAN-enabled portable health clinic (BAN-PHC) [2] allows a coordinator to wirelessly and securely gather all measured data from medical devices and sensors. Automatic data retrieval removes human error and reduce time spent on manual data copying.…”

Section: Ban-enabled Portable Healthmentioning

confidence: 99%

“…Typical e-health systems require back-end systems and management costs that are affordable for developed countries, but public e-health services lack the management funding to sustain the system. It is important to provide affordable services that feature new technologies and sustainable business models [2].…”

Section: Introductionmentioning

confidence: 99%

Affordable M2M enabled e-health using standard ban technology

Kuroda

Fukahori

2014

2014 IEEE Healthcare Innovation Conference (HIC)

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E-health technologies reduce the costs of social medical/healthcare system not only in developed but also in developing countries. Body area network (BAN) standards are accepted as a common communication method for portable medical and healthcare equipment. Machine-to-Machine technologies in conjunction with the BAN standards are expected to provide scalable and affordable e-health services. This paper discusses e-health activities and positions BAN within the activities. BAN is in a unique position to converge e-health standards from the view point of big data producer. We explain the BAN-enabled portable health clinic (BAN-PHC) and discuss the synergies generated by the combination of M2M technologies from the view point of the business model. BAN devices with M2M features create new business entities and M2M-enabled BAN-PHC is a candidate to enable affordable e-health services in developing countries accommodating various business entities. The success of the e-health services would also serve as a centripetal force for e-health standardization activities.

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“…The Portable Health Clinic (PHC) system was designed by Kyushu University and Grameen Communication's Global Communication Center (GCC) to be an affordable e-Health system solution for low-income subjects in unreached communities [8]- [10]. The back-end of the system consists of data servers and a medical call center.…”

Section: Portable Health Clinic Concept and Architecturementioning

confidence: 99%

Targeting Morbidity in Unreached Communities Using Portable Health Clinic System

Ahmed

Rebeiro‐Hargrave

Nohara

et al. 2014

IEICE Trans. Commun.

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This study looks at how an e-Health System can reduce morbidity (poor health) in unreached communities. The e-Health system combines affordable sensors and Body Area Networking technology with mobile health concepts and is called a Portable Health Clinic. The health clinic is portable because all the medical devices fit inside a briefcase and are carried to unreached communities by a healthcare assistants. Patient morbidity is diagnosed using software stratification algorithm and categorized according to triage color-coding scheme within the briefcase. Morbid patients are connected to remote doctor in a telemedicine call center using the mobile network coverage. Electronic Health Records (EHR) are used for the medical consultancy and e-Prescription is generated. The effectiveness of the portable health clinic system to target morbidity was tested on 8690 patients in rural and urban areas of Bangladesh during September 2012 to January 2013. There were two phases to the experiment: the first phase identified the intensity of morbidity and the second phase reexamined the morbid patients, two months later. The experiment results show a decrease in patients to identify as morbid among those who participated in telemedicine process.

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GramHealth: A bottom-up approach to provide preventive healthcare services for unreached community

Cited by 11 publications

References 0 publications

Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework

Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework

Affordable M2M enabled e-health using standard ban technology

Targeting Morbidity in Unreached Communities Using Portable Health Clinic System

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GramHealth: A bottom-up approach to provide preventive healthcare services for unreached community

Cited by 11 publications

References 0 publications

Review of patients perspective’s of m-health adoption factors in the developing world.&nbsp;Development of a framework

Review of patients perspective’s of m-health adoption factors in the developing world.&nbsp;Development of a framework

Affordable M2M enabled e-health using standard ban technology

Targeting Morbidity in Unreached Communities Using Portable Health Clinic System

Contact Info

Product

Resources

About

Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework

Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework