Relevant bibliographies by topics / Remote Health

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Remote Health'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 January 2023

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Journal articles on the topic "Remote Health"

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Wakerman, John. "Defining remote health." Australian Journal of Rural Health 12, no. 5 (October 2004): 210–14. http://dx.doi.org/10.1111/j.1440-1854.2004.00607.x.

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Brajakishorebarik et al.,, Brajakishorebarik et al ,. "Remote Health Monitoring System Using Healthy Pi." International Journal of Electrical and Electronics Engineering Research 8, no. 2 (2018): 1–12. http://dx.doi.org/10.24247/ijeeerjun20181.

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Shaderkin, I. A., and V. A. Shaderkina. "Remote health monitoring: motivating patients." Journal of Telemedicine and E-Health 6, no. 3 (October 5, 2020): 37–43. http://dx.doi.org/10.29188/2542-2413-2020-6-3-37-43.

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Introduction. There is currently a great number of mobile apps and devices for remote monitoring of biometric indicators used by patents and healthy people. Aim. The purpose of the paper is to review principles and methods of patient motivation for active using of mobile apps and devices for health state estimation. Matireals and methods. We conducted the analysis of 66 scientific sources for the last 5 years, 32 sources related to this theme were selected. We also used our experience of 250 000 remote consultations of urological patients. Results. Physicians should actively involve patients in care of their health – explain advantages of using mobile apps which allow to monitor health state and its changings in real time. Thus it will allow to react to emerging disfunctions, to correct them and to prevent complications or fatal outcome. In spite of evident prospectivity of remote health monitoring we can highlight several difficulties and risks, connected with it, such as low physicians’ motivation, increasing of their labor costs, safe personal and medical data storage, inaccurate and excessive data, difficulties of systematization, slow decrease of patients adherence to using mobile apps. Conclusions. The application of devices and apps for remote monitoring of health indicators is greatly promising as a source of secondary diagnostic information. Further research for clarification of remote technologies influence on clinical outcome is required. Long work for enlightenment and promoting patients’ and physicians’ interest is to be done before telemonitoring devices will occupy a niche in the healthcare system.
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Shaderkin, I. A., and V. A. Shaderkina. "Remote health monitoring: motivating patients." Journal of Telemedicine and E-Health 6, no. 3 (October 5, 2020): 37–43. http://dx.doi.org/10.29188/2542-2413-2020-6-3-37-43.

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Introduction. There is currently a great number of mobile apps and devices for remote monitoring of biometric indicators used by patents and healthy people. Aim. The purpose of the paper is to review principles and methods of patient motivation for active using of mobile apps and devices for health state estimation. Matireals and methods. We conducted the analysis of 66 scientific sources for the last 5 years, 32 sources related to this theme were selected. We also used our experience of 250 000 remote consultations of urological patients. Results. Physicians should actively involve patients in care of their health – explain advantages of using mobile apps which allow to monitor health state and its changings in real time. Thus it will allow to react to emerging disfunctions, to correct them and to prevent complications or fatal outcome. In spite of evident prospectivity of remote health monitoring we can highlight several difficulties and risks, connected with it, such as low physicians’ motivation, increasing of their labor costs, safe personal and medical data storage, inaccurate and excessive data, difficulties of systematization, slow decrease of patients adherence to using mobile apps. Conclusions. The application of devices and apps for remote monitoring of health indicators is greatly promising as a source of secondary diagnostic information. Further research for clarification of remote technologies influence on clinical outcome is required. Long work for enlightenment and promoting patients’ and physicians’ interest is to be done before telemonitoring devices will occupy a niche in the healthcare system.
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Basu, Samik, Mahasweta Ghosh, and Soma Barman Mandal. "Intelligent remote health monitoring system." International Journal of Information Technology, Communications and Convergence 3, no. 4 (2020): 259. http://dx.doi.org/10.1504/ijitcc.2020.112453.

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Mohanad, Abdulhamid, and Peter Deng. "REMOTE HEALTH MONITORING: FALL DETECTION." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 1(19) (2020): 199–205. http://dx.doi.org/10.25140/2411-5363-2020-1(19)-199-205.

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Urgency of the research. Falling is a serious health issue among the elderly population; it can result in critical injuries like hip fractures. Immobilization caused by injury or unconsciousness means that the victim cannot summon help themselves. Target setting. The target of this paper is to design and create a fall detection system. The system consists of a monitoring device that links wirelessly with a laptop. The device is able to accurately distinguish between fall and non-fall. Actual scientific researches and issues analysis. Healthcare systems in the world have undergone tremendous evolution in the last 50 years. In the early 1960s, we had computers in the form of mainframes being incorporated into healthcare systems. However, there were some problems met from their usage. These mainframes were very few, expensive, large in size and consumed a lot of electrical power and as a result, they had to be shared by several hospitals since independent ownership wasn’t feasible an idea to be considered at all. Uninvestigated parts of general matters defining. Despite all of the changes, there was still the issue of affordability of the treatments offered by the hospitals from the patients’ point of view. This had a negative impact on both the hospitals & patients. Hospitals were not getting that large enough a number of patients for treatment while patients were opting for alternatively cheaper treatment plans. The research objective. The scope of this paper is limited to fall detection and remote viewing of the collected data. Fall detection algorithm is developed and implemented through programming on Arduino Uno board. Remote viewing of the data is done on a laptop after having fall detection data wirelessly transmitted to it. The statement of basic materials. To detect fall along an axis, the acceleration magnitude is considered. With the accelerometer output data, the angle change can also be calculated using the dot product. In the event of falling, one experiences a momentary free-fall then a large spike in acceleration. For wireless data transmission, we choose the HC‐05 module which is an easy to use Blue-tooth SPP (Serial Port Protocol) module, designed for transparent wireless serial connection setup. For appropriate fall detection, we choose an accelerometer. The Bluetooth module receives fall detection data from the micro-controller and transmits the same to a laptop computer where we realize remote viewing of the data. Conclusions. The objective of this paper was to design a fall detection system that links wirelessly with a laptop computer (where we have remote viewing of the collected data). By the conclusion of this paper, we had achieved the primary goal of creating a working system able to recognize falls from non-falls, while wirelessly synched with a laptop.
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Wakerman, John, John S. Humphreys, Robert W. Wells, Pim Kuipers, Philip Entwistle, and Judith Jones. "Improving rural and remote health." Medical Journal of Australia 186, no. 9 (May 2007): 486. http://dx.doi.org/10.5694/j.1326-5377.2007.tb01014.x.

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Patil, Tanmay, Tanish Meshram, Ankit Rai, Manav Dadwal, and Prof N. Narkhede. "Remote Patient Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 196–98. http://dx.doi.org/10.22214/ijraset.2022.42147.

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Abstract: With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to database and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises. The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced. With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. Keywords: IoT, MCU, Oxygen Level, Humidity
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Gregory, Gordon. "Darwin conference: Remote health check." Australian Journal of Rural Health 23, no. 2 (April 2015): 122. http://dx.doi.org/10.1111/ajr.12193.

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Sathya, Duraisamy, and Pugalendhi Ganesh Kumar. "Secured remote health monitoring system." Healthcare Technology Letters 4, no. 6 (December 1, 2017): 228–32. http://dx.doi.org/10.1049/htl.2017.0033.

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Dissertations / Theses on the topic "Remote Health"

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Maclean, John Ross. "Telemedicine in remote health care." Thesis, University of Aberdeen, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264331.

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This thesis offers a review of the historical development of telemedicine services in remote health care. It addresses the professional concerns in practising medicine in isolated conditions, and the advances in telecommunications technology since the telephone was invented. It also examines the application of telemedicine in remote environments across the world, such as in indigenous communities, remote industrial work sites and at scientific bases in Antarctica. At its most exotic, a review is offered of the health care for space crews. The literature review highlights a number of concerns about the state of the art knowledge on remote health care services. These concerns are the minimal training requirements of individuals who act as health care practitioners in the remote environment, the additional training requirement upon the advising medical practitioner, and the design of a system for the collection of clinical information from the patient. In response to the above a two year study was conducted. Quantitative and qualitative observation of remote health care consultations was undertaken. The environments studied were simulation cases occurring in the UK and Antarctica, and real cases presenting on oil installations in the North Sea. The study results answer the original concerns about the training levels, data collection and communications components of a remote health care service. In addition, they offer valuable input towards the design of a telemedicine model for remote health care. The telemedicine model is presented as a framework upon which future developments in the field of telemedicine may be approached.
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Morris, Scott Edward Washer Glenn A. "Remote health monitoring for asset management." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/6556.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on November 19, 2009). Thesis advisor: Dr. Glenn Washer. Includes bibliographical references.
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Al-Ahwal, Saleh Abdullah Hussain. "The health care of remote industrial communities." Thesis, University of Aberdeen, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248244.

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The main part of the introduction illustrates the health care provision made in the past for workforces of the oil and gas industries functioning in remote places usually associated with an environmental hazard. Much of the past work has been carried out in the North Sea and the provision made there has been reviewed in some detail together with the gradual development of health care in the United Arab Emirates for both the offshore and the onshore oil-related workforces. There follows a short review of the provision made for two analogous situations - Newfoundland and Labrador and the British Antarctic Territories - since the developments there are of direct relevance to the Middle East situation. The main environmental hazard in the Middle East is heat and so the physiology and pathology of thermal balance in man are addressed in some detail. The first study is on the identification of the particular thermal problem which occurs in the offshore workings on the Abu Dhabi oil and gas companies, namely heat cramps. This problems had not been previously identified and the work done in determining its presence and its management is duly reported, indicating the problems of accepting health education material designed for one environment by another. In the development of systems of health care for both oil and non-oil related remote populations, the importance of training of the population at risk has been repeatedly emphasised. The perceived problems in that area are skill retention by laymen and the acceptance of the guidelines of the European and US Resuscitation Councils. A second study was therefore carried out to examine skill retention in laymen together with the feasibility of carrying out resuscitation manoeuvres in high temperatures.
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Jasti, Madhu Narasimha Rao. "IoT based remote patient health monitoring system." Kansas State University, 2017. http://hdl.handle.net/2097/38268.

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Master of Science
Department of Computer Science
Daniel A. Andresen
With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to cloud storage and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises. The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced. Hence the proposed architecture collects the sensor data through Arduino microcontroller and relays it to the cloud where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Email and/or SMS alerts in case of any emergencies.
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Yang, Cheng. "Multimedia motion analysis for remote health monitoring." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27952.

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Substantial amount of research in home-use health monitoring techniques has emerged given growing global health awareness and ageing population in recent decades. These sensor-driven home-use healthcare applications encourage patient involvement at home during daytime activities and nighttime sleep, effectively help assess patients conditions away from clinics and hospitals, and significantly reduce the number of infirmary visits. However, there are two main issues in current wearable/remote sensor-based home-use health monitoring applications: 1) portable human motion analysis systems that are commercially available still require substantial amount of manual effort to process the measurements, which is time consuming and thus impractical for long-term home-use health monitoring, and 2) current sleep-related health monitoring applications are intrusive to the body, limited to measuring the respiration rate and sleep duration, or not clinically validated to demonstrate their efficacy. In this dissertation, we overcome the drawbacks of current health monitoring systems as follows. For lower limb motion analysis, we propose an alternative to state of the art optical motion analysis systems, cost-effective and portable, single-camera system. For upper limb motion analysis, we track all relevant body joints simultaneously, and classify the post-stroke recovery levels based on features extracted from the tracked body-joint trajectories. For abnormal respiratory event detection during sleep, we propose to record video and audio of a patient using a depth camera during his/her sleep, and extract relevant features to train a classifier for detection of the abnormal respiratory events scored manually by a scientific officer based on data collected by a clinical-use sleeping device The main contribution of this dissertation lies in proposing new application-driven algorithms for advancing cost-effective human limb motion analysis and sleep monitoring healthcare techniques, including an autonomous detection scheme for finding the initial and final frames that are of interest for video analysis, a single marker tracking scheme that is based on the Kalman filter and Structural Similarity image quality assessment,an autonomous gait event detection scheme that is based on the features of the relative positions of the markers, a scheme classification of the post-stroke recovery level by minimization of graph total variation with graph-based signal processing, an alternating-frame depth video coding scheme, a depth video temporal denoising scheme using a motion vector graph smoothness prior, and a dual-ellipse model that can efficiently track the torso motion during a person is sleeping. Experimental results show that, both the autonomous frame-of-interest detection and gait event detection show high detections rates. The validation of tracking in terms of the knee angle, shoulder movement, trunk tilt and elbow movement with a gold standard optical motion analysis system shows R-squared value larger than 0.95. The graph-based classification scheme has the potential to accurately classify participants into different stroke groups. Our depth video coding scheme outperforms a competitor that records only the 8 most significant bits. Our temporal denoising scheme reduces the flickering effect without ever-smoothing. Finally, our trained classifiers can deduce respiratory events with high accuracy. Overall, our proposed limb motion analysis system offers an alternative,inexpensive and convenient solution for clinical gait and upper limb motion analysis,and our proposed sleep monitoring system can reliably detect abnormal respiratory events using our extracted video and audio features.
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Collins, Jonathan D. "Remote monitoring systems for substructural health monitoring." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002605.

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Khorakhun, Chonlatee. "Using quantified-self for future remote health monitoring." Thesis, University of St Andrews, 2015. http://hdl.handle.net/10023/9460.

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Remote monitoring is an essential part of future mHealth systems for the delivery of personal and pervasive healthcare, especially to allow the collection of personal bio-data outside clinical environments. mHealth involves the use of mobile technologies including sensors and smart phones with Internet connectivity to collect personal bio-data. Yet, by its very nature, it presents considerable challenges: (1) it will be a highly distributed task, (2) requiring collection of bio-data from a myriad of sources, (3) to be gathered at the clinical site, (4) and via secure communication channels. To address these challenges, we propose the use of an online social network (OSN) based on the quantified-self, i.e. the use of wearable sensors to monitor, collect and distribute personal bio-data, as a key component of a near-future remote health monitoring system. Additionally, the use of a social media context allows existing social interactions within the healthcare regime to be modeled within a carer network, working in harmony with, and providing support for, existing relationships and interactions between patients and healthcare professionals. We focus on the use of an online social media platform (OSMP) to enable two primitive functions of quantified-self which we consider essential for mHealth, and on which larger personal healthcare services could be built: remote health monitoring of personal bio-data, and an alert system for asynchronous notifications. We analyse the general requirements in a carer network for these two primitive functions, in terms of four different viewpoints within the carer network: the patient, the doctor in charge, a professional carer, and a family member (or friend) of the patient. We propose that a wellbeing remote monitoring scenario can act as a suitable proxy for mHealth monitoring by the use of an OSN. To allow rapid design, experimentation and evaluation of mHealth systems, we describe our experience of creating an mHealth system based on a wellbeing scenario, exploiting the quantified-self approach of measurement and monitoring. The use of wellbeing data in this manner is particularly valuable to researchers and systems developers, as key development work can be completed within a realistic scenario, but without risk to sensitive patient medical data. We discuss the suitability of using wellbeing monitoring as a proxy for mHealth monitoring with OSMPs in terms of functionality, performance and the key challenge in ensuring appropriate levels of security and privacy. We find that OSMPs based on quantified-self offer great potential for enabling personal and pervasive healthcare in an mHealth scenario.
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Spark, Ross L. "Developing health promotion methods in remote Aboriginal communities." Thesis, Curtin University, 1999. http://hdl.handle.net/20.500.11937/969.

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This thesis investigates the development and implementation of health promotion strategies and methods in remote Aboriginal communities via the Kimberley Aboriginal Health Promotion Project (KAHPP), a project funded under a grant from the Commonwealth Department of Health and Family Services and conducted by the School of Public Health at Curtin University of Technology. The aim of the project was to investigate the effectiveness of health promotion strategies and methods in remote Aboriginal communities and to develop structures for implementing effective Aboriginal health promotion programs.There were three main research components in this study: an assessment of health indicators; an assessment of the intervention impact; and an assessment of the media component of the intervention. The research methodology included the development of a culturally appropriate survey instrument and the conduct of cross-sectional surveys of three remote Aboriginal communities with differing historical circumstances in the Kimberley region. The questionnaire and field study methods were piloted in 1990 and the main study conducted in 1991 1[superscript].A health promotion intervention was conducted based on an approach originally developed in the Northern Territory 2[superscript]. The intervention employed community development and mass media strategies. Community members nominated health issues that they wished to address, from which 'storyboards' were created for health promotion advertisements to appear on remote television on a paid schedule 3[superscript]. Representative random samples of adult males and females from three remote Aboriginal communities were surveyed according to a range of attitudinal and behavioural health indicators. A post-test survey assessed media reach and impact and pre-post surveys assessed relevant changes in the communities.The cross-sectional survey of health indicators found differences between communities in terms of self-assessed health and risk behaviours. These are discussed in terms of the historical differences between communities and with respect to each community's current situation. Respondents from all communities rated environmental factors as important in their contribution to health, and generally more so than individual lifestyle behaviours.The study demonstrated that television has the potential to reach the vast majority of Aboriginal people in remote communities in the Kimberley. There was some indication that participation in the development of advertisements was associated with higher recognition and more positive assessments of that advertisement. No significant differences in selected indicators of community 'empowerment' were detected following the intervention.The thesis methodology has contributed to the development of a set of guidelines for the conduct of survey research in remote Aboriginal communities, 4[superscript] and has guided the formation of Aboriginal health promotion units in Western Australia and elsewhere.1. Spark R, Binns C, Laughlin D, Spooner C, Donovan RJ. Aboriginal people's perceptions of their own and their community's health: results of a pilot study. Health Promotion Journal of Australia 1992; 2(2):60-61.2. Spark R, Mills P. Promoting Aboriginal health on television in the Northern Territory: a bicultural approach. Drug Education Journal of Australia 1988; 2 (3):191-198.3. Spark R, Donovan RJ, Howat P. Promoting health and preventing injury in remote Aboriginal communities: a case study. Health Promotion Journal of Australia 1991; 1(2):10-16.4. Donovan RJ, Spark. R. Towards guidelines for conducting survey research in remote Aboriginal communities. Australian and New Zealand Journal of Public Health 1997; 21:89-94.
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Spark, Ross L. "Developing health promotion methods in remote Aboriginal communities." Curtin University of Technology, School of Public Health, 1999. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=9501.

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This thesis investigates the development and implementation of health promotion strategies and methods in remote Aboriginal communities via the Kimberley Aboriginal Health Promotion Project (KAHPP), a project funded under a grant from the Commonwealth Department of Health and Family Services and conducted by the School of Public Health at Curtin University of Technology. The aim of the project was to investigate the effectiveness of health promotion strategies and methods in remote Aboriginal communities and to develop structures for implementing effective Aboriginal health promotion programs.There were three main research components in this study: an assessment of health indicators; an assessment of the intervention impact; and an assessment of the media component of the intervention. The research methodology included the development of a culturally appropriate survey instrument and the conduct of cross-sectional surveys of three remote Aboriginal communities with differing historical circumstances in the Kimberley region. The questionnaire and field study methods were piloted in 1990 and the main study conducted in 1991 1[superscript].A health promotion intervention was conducted based on an approach originally developed in the Northern Territory 2[superscript]. The intervention employed community development and mass media strategies. Community members nominated health issues that they wished to address, from which 'storyboards' were created for health promotion advertisements to appear on remote television on a paid schedule 3[superscript]. Representative random samples of adult males and females from three remote Aboriginal communities were surveyed according to a range of attitudinal and behavioural health indicators. A post-test survey assessed media reach and impact and pre-post surveys assessed relevant changes in the communities.The cross-sectional survey ++
of health indicators found differences between communities in terms of self-assessed health and risk behaviours. These are discussed in terms of the historical differences between communities and with respect to each community's current situation. Respondents from all communities rated environmental factors as important in their contribution to health, and generally more so than individual lifestyle behaviours.The study demonstrated that television has the potential to reach the vast majority of Aboriginal people in remote communities in the Kimberley. There was some indication that participation in the development of advertisements was associated with higher recognition and more positive assessments of that advertisement. No significant differences in selected indicators of community 'empowerment' were detected following the intervention.The thesis methodology has contributed to the development of a set of guidelines for the conduct of survey research in remote Aboriginal communities, 4[superscript] and has guided the formation of Aboriginal health promotion units in Western Australia and elsewhere.1. Spark R, Binns C, Laughlin D, Spooner C, Donovan RJ. Aboriginal people's perceptions of their own and their community's health: results of a pilot study. Health Promotion Journal of Australia 1992; 2(2):60-61.2. Spark R, Mills P. Promoting Aboriginal health on television in the Northern Territory: a bicultural approach. Drug Education Journal of Australia 1988; 2 (3):191-198.3. Spark R, Donovan RJ, Howat P. Promoting health and preventing injury in remote Aboriginal communities: a case study. Health Promotion Journal of Australia 1991; 1(2):10-16.4. Donovan RJ, Spark. R. Towards guidelines for conducting survey research in remote Aboriginal communities. Australian and New Zealand Journal of Public Health 1997; 21:89-94.
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Weyant, Emily, Nakia J. Woodward, Rachel R. Walden, Rick L. Wallace, and Kelly R. Loyd. "Promoting Consumer Health Materials at Remote Area Medical Clinics." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etsu-works/8823.

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Books on the topic "Remote Health"

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Chen, Lumin, Yihao Li, Lina Han, Liang Yuan, Yuxiang Sun, and Xiaolu Tang. Elderly Health Services and Remote Health Monitoring. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7154-1.

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Carey, Timothy A., and Judith Gullifer, eds. Handbook of Rural, Remote, and very Remote Mental Health. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-5012-1.

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Norman, Nelson. In search of remote health care. Bridgend: Lumphanan Press, 2010.

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Ciesla, William M. Remote sensing in forest health protection. Fort Collins, CO: U.S. Dept. of Agriculture, Forest Service, Forest Health Technology Enterprise Team, 2000.

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Onnis, Leigh-ann. HRM and Remote Health Workforce Sustainability. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2059-0.

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Australia's rural and remote health: A social justice perspective. 2nd ed. Croydon, Vic: Tertiary Press, 2007.

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Victoria. Department of Human Services. Remote area nurses: Emergency guidelines 2005. Melbourne: Dept of Human Services, 2005.

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Phillips, Andrew. Rural, regional and remote health: A study on mortality. 2nd ed. Canberra: Australian Institute of Health and Welfare, 2007.

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Watson, David S. Health care for remote communities: A solution by satellite? [Albany, W.A: D. S. Watson], 2006.

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Australia. Department of Health and Ageing. Rural, regional and remote health: Mortality trends 1992-2003. Canberra: Australian Institute of Health and Welfare, 2006.

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Book chapters on the topic "Remote Health"

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Ciccacci, Fausto, and Giovanni Guidotti. "DREAM Centre Remote Telemonitoring." In TELe-Health, 43–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72763-9_5.

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Ali, Raza. "Wearables and Remote Monitoring." In Health Informatics, 45–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04836-4_5.

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Carey, T. A., and J. Gullifer. "Rural, Remote, and very Remote Mental Health." In Handbook of Rural, Remote, and very Remote Mental Health, 1–16. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-5012-1_1-1.

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Carey, Timothy A., and Judith Gullifer. "Rural, Remote, and very Remote Mental Health." In Handbook of Rural, Remote, and very Remote Mental Health, 1–16. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6631-8_1.

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Onnis, Leigh-ann. "Sustainable Remote Health Workforces." In Management for Professionals, 37–52. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2059-0_3.

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Samson, Mamatha, and L. Swetha. "Remote Health Care System." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 480–88. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_54.

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Starostenko, Oleg, Vicente Alarcon-Aquino, Jorge Rodriguez-Asomoza, Oleg Sergiyenko, and Vera Tyrsa. "Remote Health/Vital Sign Monitoring." In Mobile Health, 221–43. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12817-7_10.

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White, Ross G., Nargis Islam, and Rosco Kasujja. "Global Mental Health Perspectives on Rural and Remote Mental Health Provision." In Handbook of Rural, Remote, and very Remote Mental Health, 1–25. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-5012-1_3-1.

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White, Ross G., Nargis Islam, and Rosco Kasujja. "Global Mental Health Perspectives on Rural and Remote Mental Health Provision." In Handbook of Rural, Remote, and very Remote Mental Health, 43–66. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6631-8_3.

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Burke, S. E. L. "Environmental Impacts on Mental Health." In Handbook of Rural, Remote, and very Remote Mental Health, 1–18. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-5012-1_32-1.

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Conference papers on the topic "Remote Health"

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Lenicky, J., M. Hradsky, M. Kalina, J. Erdelyi, and P. Cicak. "E-Health device for remote health monitoring." In 2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2020. http://dx.doi.org/10.1109/iceta51985.2020.9379268.

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Ajgaonkar, Atharva, Shriniket Vichare, Rohan Badgujar, Manisha Bansode, Deepak Karia, and Abhay Bambole. "Remote Structural Health Monitoring." In 2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW). IEEE, 2020. http://dx.doi.org/10.1109/iccdw45521.2020.9318730.

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Bachhal, Gagandeep Singh, and Amanjot Kaur Sandhu. "Remote patient health alert system." In the 11th Asia Pacific Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2525194.2525282.

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Darling, C. J. "Health Care in Remote Areas." In SPE Health, Safety and Environment in Oil and Gas Exploration and Production Conference. Society of Petroleum Engineers, 1994. http://dx.doi.org/10.2118/27198-ms.

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Priya, B., S. Rajendran, R. Bala, and R. Gobbi. "Remote wireless health monitoring systems." In 2009 Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA). IEEE, 2009. http://dx.doi.org/10.1109/citisia.2009.5224177.

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Baranski, Przemyslaw, Maciej Polanczyk, and Pawel Strumillo. "A remote guidance system for the blind." In 2010 12th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2010). IEEE, 2010. http://dx.doi.org/10.1109/health.2010.5556539.

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Healy, Philip D., Ruairi D. O'Reilly, Geraldine B. Boylan, and John P. Morrison. "Web-based remote monitoring of live EEG." In 2010 12th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2010). IEEE, 2010. http://dx.doi.org/10.1109/health.2010.5556574.

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Mansor, Hasmah, Siti Sarah Meskam, Nasiha Sakinah Zamery, Nur Quraisyia Aqilah Mohd Rusli, and Rini Akmeliawati. "Portable heart rate measurement for remote health monitoring system." In 2015 10th Asian Control Conference (ASCC). IEEE, 2015. http://dx.doi.org/10.1109/ascc.2015.7244405.

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Masek, Martin, Chang Su Lee, Chiou Peng Lam, Keng T. Tan, and Angela Fyneman. "Remote home-based ante and post natal care." In 2009 11th International Conference on e-Health Networking, Applications and Services (Healthcom 2009). IEEE, 2009. http://dx.doi.org/10.1109/health.2009.5406204.

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Bennebroek, Martijn, Andre Barroso, Louis Atallah, Benny Lo, and Guang-Zhong Yang. "Deployment of wireless sensors for remote elderly monitoring." In 2010 12th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2010). IEEE, 2010. http://dx.doi.org/10.1109/health.2010.5556586.

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Reports on the topic "Remote Health"

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Waid, Chelsea, Sebastian Steven, Laleah Sinclair, Liam Priest, Sam Petrie, Dean B. Carson, and Paul A. Peters. • Report: Interventions for Rural and Remote Youth Mental Health. Spatial Determinants of Health Lab, Carleton University, November 2019. http://dx.doi.org/10.22215/sdhlab/2019.4.

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J.L. Rovey K. Chandrashekhara. Remote Monitoring of the Structural Health of Hydrokinetic Composite Turbine Blades. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1051313.

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Dabrowski, Anna, and Pru Mitchell. Effects of remote learning on mental health and socialisation. Literature Review. Australian Council for Educational Research, November 2022. http://dx.doi.org/10.37517/978-1-74286-682-6.

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Abstract:
This literature review focuses on the effects of remote learning on mental health, including acute mental health issues and possible ongoing implications for student wellbeing and socialisation. It provides an overview of some of the challenges that can impact on the mental health and relationships of young people, many of which have accelerated or become more complex during the COVID-19 pandemic. In the light of concern about rising antisocial behaviour and extremism there is a focus on socialisation and self-regulation on return to school post-pandemic. In the face of limited Australian research on these topics, the review takes a global focus and includes experiences from other countries as evidenced in the emerging research literature. Based on these findings the review offers advice to school leaders regarding the self-regulatory behaviours of students on return to school after periods of remote learning, and addresses social and emotional considerations as students transition back to school. It also considers ways in which schools can promote wellbeing and respond to mental health concerns as a way to address and prevent antisocial behaviours, recognise manifestations in extremism (including religious fundamentalism), and challenge a general rise in extremist views.
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Milenski, Helen. Technical Assistance for Remote Sensor Placement Related Projects for Structural Health Monitoring. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1159044.

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Roberts, Jay B., and Ashok Bapat. Rural Health, Center of Excellence for Remote and Medically Under-served Area (CERMUSA). Fort Belvoir, VA: Defense Technical Information Center, May 2007. http://dx.doi.org/10.21236/ada604497.

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Angelucci, Manuela, Marco Angrisani, Daniel Bennett, Arie Kapteyn, and Simone Schaner. Remote Work and the Heterogeneous Impact of COVID-19 on Employment and Health. Cambridge, MA: National Bureau of Economic Research, August 2020. http://dx.doi.org/10.3386/w27749.

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Sahn, David J., and James Kinney. Telemedicine Based Ultrasound for Detecting Neonatal Heart Disease in Babies at Remote Military or Native American Health Care Facilities. Fort Belvoir, VA: Defense Technical Information Center, March 2005. http://dx.doi.org/10.21236/ada442983.

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Sahn, David J., Robert Puntel, and James Kinney. Telemedicine Based Ultrasound for Detecting Neonatal Heart Disease in Babies at Remote Military or Native American Health Care Facilities. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada512788.

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Sweeney, Steven, Richard Lampo, and Robert Mason. Remote structural health monitoring and corrosion-rate modeling of steel bridges : final report on Project F08-AR13. Construction Engineering Research Laboratory (U.S.), June 2018. http://dx.doi.org/10.21079/11681/27352.

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Rahimi, Noshad. Developing a Mixed-Methods Method to Model Elderly Health Technology Adoption with Fuzzy Cognitive Map, and its Application in Adoption of Remote Health Monitoring Technologies by Elderly Women. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6395.

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