Dissertations / Theses on the topic 'Wireless communication systems in medical care – Zimbabwe'
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Samusodza, Chengetai Rosemary. "The potential of mHealth technologies for maternal health-care services : a case of selected public hospitals' maternal units in Zimbabwe." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2425.
Full textZimbabwe has a fairly developed health-care delivery system that is served by public and private hospitals at district, provincial and national level. The public health-care system is the largest provider of health-care services and caters for the majority of the population but this is done in a resource-restricted context, typical of a developing context. In this context, this research sought to establish the potential of mHealth Technologies in Zimbabwe’s maternal health sector using Parirenyatwa and Harare hospitals as case studies. The reviewed body of knowledge, which was largely a comparative assessment of mHealth technology adoption in developing countries, indicated that the full adoption of the prevailing eHealth strategy in Zimbabwe remains hamstrung by the slow pace of policy implementation. This is a qualitative study and data was collected with unstructured interviews. Purposive and snowball sampling were used to recruit the participants. The gathered data was analyzed through content and thematic analysis. Four broad themes emerged from the primary data collected during the interviews and these include: trends in information dissemination in Zimbabwe’s Public Health System; information needs for expectant women and midwives; the prevalence of ICT use in Zimbabwe’s Public Health System, and mobile technology use in the maternal health sector in Zimbabwe. The research was able to establish that while there is a high proliferation of smartphone use among most expectant women, this has not translated into their use for health information-related purposes.
Makovhololo, Phathutshedzo. "The semantics of language translation using mobile systems in South African healthcare." Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2771.
Full textAs in many parts of the world, the need for healthcare services is increasing rapidly in South Africa. Owing to many official languages in the country, health service delivery is continuously challenged by spoken language and semantics. The challenges result to poor health services in many areas of the country. Thus, this study was undertaken with the aim: to develop a framework which can be used to guide the selection and implementation of mobile systems in the translation of language semantics for improved healthcare service delivery in South Africa. For this purpose, the study was based on one significant research question: How can the challenge(s) of semantics and language translation in South African healthcare delivery be addressed using mobile systems? In achieving the aim of the study, a qualitative study was conducted using the semi-strtructured interviews to collect the data. The analysis of the data was carried out using the hermeneutic approach within the interpretative paradigm, which was guided by two theories, actor network theory (ANT) and diffusion of innovation (DOI). The ANT was used to focus on the interaction and relationship between human and non-human actors within a heterogeneous networks, in the activities of healthcare. The DOI was employed to examine how mobiles systems can be diffused, in addressing the challenges and barriers which the health facilities encounter from language perspective. The case study approach was followed, based on three cases, two healthcare organisations, and a community in the northern part of South Africa were used in the study. Based on the analysis of the data, the influencing factors were found, and interpreted. The interpretation helps gain deeper understanding of the challenges, from which a framework (see Figure 6.5 in Chapter 6) was developed. From an understanding of the factors that influence language semantics, and its translaton by using mobile systems, challenges in the South African healthcare can be reduced, and quality improved. The way in which the theories were used brought a fresh perspective to the study. In practice, the framework can be used by both healthcare practitioners and ICT specialists to guide the selection, use and support of mobile systems for the translation of language semantics in South Africa. The complementary use of ANT and DOI in the study contributes methodologically.
Samachisa, Alexandru. "Investigating the effects of an on-chip pre-classifier on wireless ECG monitoring /." Online version of thesis, 2007. http://hdl.handle.net/1850/4820.
Full textOuma, Stella. "M-health user experience framework for the public healthcare sector." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1020793.
Full textRault, Tifenn. "Energy-efficiency in wireless sensor networks." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2228/document.
Full textIn this thesis, we propose new strategies for energy conservation in wireless sensor networks, so that the operational time of these networks can be extended. The work can be divided into two main focus area, namely general wireless sensor networks, and healthcareoriented wearable sensor networks. In the first part of this thesis we provide a comprehensive survey of the existing energy-efficient mechanisms. Then, we propose two new solutions: the first one optimizes the displacement of a mobile base station as well as buffer usage and data routing at sensor nodes; the second one optimizes the deployment of wireless chargers in the network to satisfy the energy demand of the sensors. The second part of this thesis is dedicated to healthcare application where wearable sensors are used to remotely supervise a patient. We begin with a state-of-the-art of the energy-efficient techniques existing in the literature. We then introduce a new energy-efficient architecture that allows to optimize the lifetime of both the sensor and the base station. This is a context-aware solution that takes into consideration heterogeneous devices. Our results show that the lifetime of the sensor networks can be extended using the proposed strategies. All the results obtained are supported by numerical experiments and extensive simulations
Sundaravadivel, Prabha. "Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157532/.
Full textHaenssgen, Marco Johannes. "Mobile phone diffusion and rural heathcare access in India and China." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:3f48fc8b-5414-4851-926b-07a57eed6cfe.
Full textKativu, Tatenda Kevin. "A framework for the secure consumerisation of mobile, handheld devices in the healthcare institutional context." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/18630.
Full textChitnis, Anurag Ashok. "Mobile-Based Smart Auscultation." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1011820/.
Full textHillig, Mark Alexander. "Automated Channel Assessment for Single Chip MedRadio Transceivers." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1005.
Full textStucki, Eric Thomas. "Medium Access Control and Networking Protocols for the Intra-Body Network." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1182.pdf.
Full textMarufu, Chester. "Utilisation of mobile health in Zimbabwe." Diss., 2015. http://hdl.handle.net/10500/18236.
Full textHealth Studies
M. A. (Public Health)
Gatara, Maradona Charles. "Mobile technology-enabled healthcare service delivery systems for community health workers in Kenya: a technology-to-performance chain perspective." Thesis, 2017. https://hdl.handle.net/10539/24062.
Full textCommunity Health Workers or “CHWs” are often the only link to healthcare for millions of people in the developing world. They are the first point of contact with the formal care system, and represent the most immediate and cost effective way to save lives and improve healthcare outcomes in low-resource contexts. Mobile-health or ‘mHealth’ technologies may have potential to support CHWs at the point-of-care and enhance their performance. Yet, there is a gap in substantive empirical evidence on whether the use of mHealth tools enhances CHW performance, and how their use contributes to enhanced healthcare service delivery, especially in low-resource communities. This is a problem because a lack of such evidence would pose an obstacle to the effective large-scale implementation of mHealth-enabled CHW projects in low-resource settings. This thesis was motivated to address this problem in the Kenyan community health worker context. First, it compared the performance of CHWs using mHealth tools to those using traditional paper-based systems. Second, it developed and tested a replicable Technology-to-Performance Chain (TPC) model linking a set of CHW task and mHealth tool characteristics, to use and user performance outcomes, through four perspectives of Task-Technology Fit (TTF), namely Matching, Moderation, Mediation, and Covariation. A quasi-experimental post-test only research design was adopted to compare performance of CHWs using an mHealth tool to those using traditional paper-based systems. A primary structured questionnaire survey instrument was used to collect data from CHWs operating in the counties of Siaya, Nandi, and Kilifi, who were using an mHealth tool to perform their tasks (n = 257), and from CHWs operating in the counties of Nairobi and Nakuru using traditional paper-based systems to perform their tasks (n = 353). Results showed that CHWs using mHealth tools outperform their counterparts using paper-based systems, as they were observed to spend much less time completing their monitoring, prevention, and referral reports weekly, and report higher percentages of both timeous and complete monthly cases. In addition, mHealth tool users were found to have more positive perceptions of the effects of the technology on their performance, compared to those using traditional paper-based systems. An explanatory, predictive, research design was adopted to empirically assess the effects of a ‘fit’ between the CHW task and mHealth technology (TTF) on use of the mHealth technology and on CHW user performance. TTF was tested from the Matching, Moderation, Mediation, and Covariation ‘fit’ perspectives using the cross-sectional survey data collected from the mHealth tool users (n = 257). Results revealed that there are various unique ways in which a ‘fit’ between the task and technology can have significant impacts on use and user performance. Specifically, results showed that the paired-match of time criticality task and technology characteristics impacts use, while that of time criticality and information dependency task and technology characteristics impacts user performance. Results also showed that the cross-product interaction of mobility task and interdependence technology characteristics impacts use, and that of mobility task and interdependence and information dependency technology characteristics, impacts user performance. Similarly, the cross-product interaction of information dependency task and time criticality technology characteristics impacts user performance. Moreover, results showed that a perceived ‘fit’ between CHW task and mHealth technology characteristics partially and fully mediates the effects of user needs and tool functions on use and user performance, whereas ‘fit’ as an observed pattern of holistic configuration among these task and technology characteristics impacts use and user performance. It was also found that the perfect ‘fit’ between CHW task and mHealth tool technology characteristics leads to the highest levels of use and user performance, while a misfit leads to a decline in use and user performance. Notably, an over-fit of mHealth technology support to the CHW task leads to declining use levels, while an under-fit leads to diminishing user performance. Of the four ‘fit’ perspectives tested, the matching and cross-product interaction of task and technology characteristics offer the most dynamic insights into use and user performance impacts, whereas user-perception and holistic configuration, were also shown to be significant, thus further reinforcing these effects. Tests of a full TPC model revealed that greater mHealth tool use had a positive effect on the effectiveness, efficiency, and quality of CHW performance in the delivery of patient care. Moreover, it was found that ‘facilitating conditions’ and ‘affect toward use’ had positive effects on mHealth tool use. Furthermore, a perceptual TTF was found to have positive effects on mHealth tool use and CHW performance. Of note, this perceived TTF construct was found to be simultaneously a stronger predictor of mHealth tool use than ‘facilitating conditions’ and ‘affect toward use’, and a stronger predictor of CHW performance than mHealth tool use. Consequently, TTF was confirmed as the central construct of the TPC. The findings constitute significant empirical insights into the use of mHealth tools amongst CHWs in low resource settings and the extent to which mHealth contributes to the enhancement of their overall performance in the capture, storage, transmission, and retrieval, of health data as part of their typical workflows. This study has provided much needed evidence of the importance of a ‘fit’ between CHW task and mHealth technology characteristics for enabling mHealth impacts on CHW performance. The study also shows how these inter-linkages could improve the use of mHealth tools and the performance of CHWs in their delivery of healthcare services in low-resource settings, within the Kenyan context. Findings can inform the design of mHealth tools to render more adequate support functions for the most critical CHW user task needs in a developing world context. This study has contributed to the empowerment of CHWs at the point-of-care using mHealth technology-enabled service delivery in low-resource settings, and contributes to the proper and successful ‘scaling-up’ of implemented mHealth projects in the developing world.
MT 2018
Runcie, Sarah Cook. "Mobile Health Teams, Decolonization, and the Eradication Era in Cameroon, 1945-1970." Thesis, 2017. https://doi.org/10.7916/D8HD872N.
Full textThimot, Jordan Alexander. "Design of an Integrated CMOS Transceiver with Wireless Power and Data Telemetry with Application to Implantable Flexible Neural Probes." Thesis, 2021. https://doi.org/10.7916/d8-tfvk-yy50.
Full textHouse, Samuel. "Passive health monitoring with wirelessly powered medical devices." Thesis, 2013. http://hdl.handle.net/1957/37813.
Full textGraduation date: 2013
Serame, Fundisile. "Determinant analysis of mobile information technology innovation for field-based healthcare." 2014. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001594.
Full textField-based healthcare is the provisioning of healthcare outside a traditional healthcare facility whose location is fixed. Although healthcare is not location and time dependent, the delivery of the service is often constrained to particular location and time. That is, although data accuracy and timely access to medical information is vital, healthcare service providers are not mobile enough to provide the on-demand healthcare service to patients. With restricted mobility, mistakes, unavailability and inaccuracy of information can have life-threatening consequences. To this point, this mini-dissertation argues that Mobile Information Technology (IT) Innovation could leverage field-based healthcare. Thus Mobile IT is considered essential to reducing medical errors, enhancing patient safety and improving quality of healthcare service delivery. Mobile IT can also be leveraged to meet ICT infrastructural challenges of field-based healthcare. That is, to enhance this service delivery, Mobile IT innovation will include the use of mobile devices such as mobile phones, smart phones, pocket computers, wireless networks and other technologies such as Radio Frequency Identification, smart cards, as well as information systems accessed through these technologies. In recent years, cases of Mobile IT application in healthcare service, particularly in South Africa, suggest the use of Mobile IT for disease management, monitoring as well as evaluation of patient care activities. There is a need for an empirical study to highlight the determinant factors that influence Mobile IT innovation for field-based healthcare. In response to this need, this study captured and unraveled the complexity of Mobile IT innovation for field-based healthcare through a case study conducted at a healthcare service provider.
Kinyanjui, Jesee Wainaina. "Mobile phone based applications in implementing cholera prevention and control education in complex humanitarian emergencies : a feasibility study in Mogadishu, Somalia." Diss., 2015. http://hdl.handle.net/10500/18831.
Full textHealth Studies
M.A. (Public Health)
Jesee, Wainaina Kinyanjui. "Mobile phone based applications in implemeting cholera prevention and control education in complex humanitarian emergencies - a feasibility study in Mogadishu, Somalia." Diss., 2015. http://hdl.handle.net/10500/18831.
Full textHealth Studies
M. (Public Health)