ORCID Profile
0000-0001-8400-5754
Current Organisation
Deakin University
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Publisher: IEEE
Date: 12-2015
Publisher: Springer Berlin Heidelberg
Date: 2015
Publisher: SAGE Publications
Date: 24-05-2010
Abstract: The concept of cloud computing continues to spread widely, as it has been accepted recently. Cloud computing has many unique advantages which can be utilized to facilitate workflow execution. Instance-intensive cost-constrained cloud workflows are workflows with a large number of workflow instances (i.e. instance intensive) bounded by a certain budget for execution (i.e. cost constrained) on a cloud computing platform (i.e. cloud workflows). However, there are, so far, no dedicated scheduling algorithms for instance-intensive cost-constrained cloud workflows. This paper presents a novel compromised-time-cost scheduling algorithm which considers the characteristics of cloud computing to accommodate instance-intensive cost-constrained workflows by compromising execution time and cost with user input enabled on the fly. The simulation performed demonstrates that the algorithm can cut down the mean execution cost by over 15% whilst meeting the user-designated deadline or shorten the mean execution time by over 20% within the user-designated execution cost.
Publisher: IEEE
Date: 07-2013
Publisher: IEEE
Date: 06-2017
Publisher: Wiley
Date: 27-08-2012
DOI: 10.1002/CPE.1636
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: IEEE
Date: 12-2015
Publisher: Elsevier BV
Date: 05-2022
Publisher: IEEE
Date: 06-2016
DOI: 10.1109/SCC.2016.27
Publisher: IEEE
Date: 08-2017
DOI: 10.1109/CBD.2016.038
Publisher: IEEE
Date: 08-2017
DOI: 10.1109/CBD.2016.039
Publisher: IEEE
Date: 08-2014
DOI: 10.1109/SKG.2014.37
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: IEEE
Date: 08-2014
DOI: 10.1109/SKG.2014.36
Publisher: Elsevier BV
Date: 07-2022
Publisher: ACM
Date: 26-05-2014
Publisher: IEEE
Date: 12-2010
DOI: 10.1109/CIS.2010.46
Publisher: Association for Computing Machinery (ACM)
Date: 02-2014
DOI: 10.1145/2559938
Abstract: Scientific processes are usually time constrained with overall deadlines and local milestones. In scientific workflow systems, due to the dynamic nature of the underlying computing infrastructures such as grid and cloud, execution delays often take place and result in a large number of temporal violations. Since temporal violation handling is expensive in terms of both monetary costs and time overheads, an essential question aroused is “do we need to handle every temporal violation in scientific workflow systems?” The answer would be “true” according to existing works on workflow temporal management which adopt the philosophy similar to the handling of functional exceptions, that is, every temporal violation should be handled whenever it is detected. However, based on our observation, the phenomenon of self-recovery where execution delays can be automatically compensated for by the saved execution time of subsequent workflow activities has been entirely overlooked. Therefore, considering the nonfunctional nature of temporal violations, our answer is “not necessarily true.” To take advantage of self-recovery, this article proposes a novel adaptive temporal violation handling point selection strategy where this phenomenon is effectively utilised to avoid unnecessary temporal violation handling. Based on simulations of both real-world scientific workflows and randomly generated test cases, the experimental results demonstrate that our strategy can significantly reduce the cost on temporal violation handling by over 96% while maintaining extreme low violation rate under normal circumstances.
Publisher: IEEE
Date: 2014
Publisher: Elsevier BV
Date: 03-2011
Publisher: Wiley
Date: 28-07-2017
DOI: 10.1002/CPE.4233
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Publisher: BMJ
Date: 06-2021
DOI: 10.1136/BMJOPEN-2020-044192
Abstract: To compare the sociodemography, disease characteristics and hypertension self-care profiles and to determine the factors influencing Hypertension Self-Care Profiles (HTN-SCP) in two populations in primary care settings from Singapore and Malaysia. Cross-sectional, cross national. Multi-centre, primary care clinics Malaysia and Singapore. 1123 adults with hypertension enrolled and analysed. Comparison between sociodemography, disease characteristics and the mean scores of HTN-SCP domains (behaviour, motivation and self-efficacy) and the factors influencing hypertension self-care. 1123 adults with hypertension attending primary care clinics in Malaysia and Singapore were involved. The participants’ mean age was 63.6 years (SD 9.7) in Singapore and 60.4 (SD 9.1) in Malaysia. Most of the participants in Singapore had tertiary education (22.3%) compared with Malaysia (13.0%), p .001. A higher proportion of participants from Singapore had controlled blood pressure (74.6%) compared with Malaysia (33.8%), p .001. The mean total score of HTN-SCP was significantly higher among Singapore participants compared with Malaysia participants 190 (SD 28) versus 184 (SD 23) (p .001). Similarly, the mean score for motivation domain 67 (SD 10) versus 65 (SD 9), followed by self-efficacy score 65 (SD 11) versus 62 (SD 9) and behaviour score (58 SD 9 vs 56 SD 9) were higher among Singapore participants. In both countries, the factors which influenced higher HTN-SCP mean scores across all domains were being Indian and had tertiary education. The study population in Singapore had a higher HTN-SCP mean score compared with Malaysia. The common factors influencing higher HTN-SCP mean scores at both study sites were ethnicity and level of education. Future intervention to improve self-care among people with hypertension may need to be tailored to their behaviour, motivation and self-efficacy levels.
Publisher: Elsevier BV
Date: 03-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Publisher: Springer Science and Business Media LLC
Date: 15-03-2013
Publisher: Wiley
Date: 23-11-2020
DOI: 10.1002/CPE.6092
Abstract: Nowadays, unmanned aerial vehicles (UAVs) are widely used in many smart systems such as smart logistics, smart agriculture, and environmental monitoring systems. However, the limited computing capability and restricted battery lifetime of existing UAVs could significantly impact the quality of service (QoS) of UAV‐based smart systems and the quality of experience (QoE) of end users. Recently, Mobile Edge Computing (MEC) which provisions computing resources close to the mobile end devices has become a promising solution. However, since high‐speed UAV often flies through the signal range of the different edge nodes, the interruption of services in the MEC‐based UAV delivery system is a critical issue. A challenging question is when and how to perform dynamic task migration among the edge nodes to ensure service continuity. In this paper, we investigate the task migration issue for multiple UAVs in the MEC‐based UAV delivery system. Specifically, we propose an energy‐aware decision‐making strategy for the dynamic task migration named GAD to optimize the UAV energy consumption. Given the real‐time system status and QoS constraints, and through a dynamic two‐tier decision‐making mechanism, GAD can efficiently make the task migration decision from four candidate decisions, viz. No Migration, Data Migration Only, Cold Migration, and Live Migration. Experimental results based on a real‐world scenario show that our strategy can well outperform other baseline strategies in various metrics including the flying distances and the energy consumption of UAVs.
Publisher: Elsevier BV
Date: 11-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
Publisher: Wiley
Date: 17-12-2020
DOI: 10.1111/EXSY.12499
Publisher: Springer International Publishing
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Publisher: ACM
Date: 26-05-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: IEEE
Date: 05-2020
Publisher: Wiley
Date: 05-11-2020
DOI: 10.1002/CPE.6068
Abstract: The “last mile” problem in logistics is challenging due to its low efficiency and high cost. To address this problem, Unmanned Aerial Vehicle (UAV) delivery such as drone delivery has been proposed and widely accepted as a promising solution. However, currently most of the existing UAV delivery systems are based on Cloud Computing which cannot efficiently meet the requirements of many real‐time services in UAV delivery systems. Meanwhile, the security issues in UAV delivery systems also raise critical concerns due to the existence of multiple participants (such as the sender, middler, and receiver) who may not maintain a mutual trust relationship among them. How to secure the UAV delivery process in such an untrusted environment is still a challenging issue. In this paper, we propose a Mobile Edge Computing (MEC) and blockchain‐based UAV delivery system to resolve the “last mile” problem in logistics. Specifically, based on the MEC architecture, the blockchain nodes are deployed on the edge nodes to facilitate and secure the UAV delivery process. To verify the effectiveness of our proposed solution, a MEC‐based UAV delivery system prototype with a private blockchain on the Ethereum platform is implemented. Through the security analysis and performance evaluation, it is proven that our proposed solution can effectively solve the “last mile” problem and address the security issues in UAV delivery systems.
Publisher: Elsevier
Date: 2012
Publisher: Wiley
Date: 05-12-2018
DOI: 10.1002/SPE.2554
Publisher: Elsevier BV
Date: 12-2008
Publisher: Wiley
Date: 08-01-2016
DOI: 10.1002/SMR.1761
Publisher: Springer New York
Date: 11-2011
Publisher: Springer New York
Date: 11-2012
Publisher: Springer New York
Date: 11-2012
Publisher: Springer New York
Date: 11-2012
Publisher: Public Library of Science (PLoS)
Date: 21-10-2020
Publisher: Springer New York
Date: 11-2012
Publisher: ACM
Date: 31-05-2014
Publisher: ACM
Date: 26-05-2014
Publisher: IEEE
Date: 07-2008
DOI: 10.1109/SCC.2008.26
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Springer Science and Business Media LLC
Date: 11-12-2019
Publisher: Elsevier BV
Date: 09-2023
Publisher: JMIR Publications Inc.
Date: 09-09-2021
DOI: 10.2196/26434
Abstract: Technology, including mobile apps, has the potential to support self-management of long-term conditions and can be tailored to enhance adoption. We developed an app to support asthma self-management among people with limited health literacy in a web-based workshop (to ensure physical distancing during the COVID-19 pandemic). The aim of this study is to develop and test a prototype asthma self-management mobile app tailored to the needs of people with limited health literacy through a web-based workshop. We recruited participants from a primary care center in Malaysia. We adapted a design sprint methodology to a web-based workshop in five stages over 1 week. Patients with asthma and limited health literacy provided insights into real-life self-management issues in stage 1, which informed mobile app development in stages 2-4. We recruited additional patients to test the prototype in stage 5 using a qualitative research design. Participants gave feedback through a concurrent thinking-aloud process moderated by a researcher. Each interview lasted approximately 1 hour. Screen recordings of app browsing activities were performed. Interviews were audio-recorded and analyzed using a thematic approach to identify utility and usability issues. The stakeholder discussion identified four themes: in idual, family, friends, and society and system levels. Five patients tested the prototype. Participants described 4 ways in which the app influenced or supported self-management (utility): offering information, providing access to an asthma action plan, motivating control of asthma through support for medication adherence, and supporting behavior change through a reward system. Specific usability issues addressed navigation, comprehension, and layout. This study proved that it was possible to adapt the design sprint workshop to a web-based format with the added advantage that it allowed the development and the testing process to be done efficiently through various programs. The resultant app incorporated advice from stakeholders, including sources for information about asthma, medication and appointment reminders, accessible asthma action plans, and sources for social support. The app is now ready to move to feasibility testing.
Publisher: Elsevier BV
Date: 05-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 12-2010
Publisher: Elsevier BV
Date: 10-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: IEEE
Date: 10-2016
Publisher: Wiley
Date: 03-05-2011
DOI: 10.1002/CPE.1739
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer Science and Business Media LLC
Date: 08-04-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2023
Publisher: ACM
Date: 10-10-2022
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 10-2013
Publisher: Hindawi Limited
Date: 08-2018
DOI: 10.1155/2018/7698274
Abstract: The K -means algorithm is one of the ten classic algorithms in the area of data mining and has been studied by researchers in numerous fields for a long time. However, the value of the clustering number k in the K -means algorithm is not always easy to be determined, and the selection of the initial centers is vulnerable to outliers. This paper proposes an improved K -means clustering algorithm called the covering K -means algorithm (C- K -means). The C- K -means algorithm can not only acquire efficient and accurate clustering results but also self-adaptively provide a reasonable numbers of clusters based on the data features. It includes two phases: the initialization of the covering algorithm (CA) and the Lloyd iteration of the K -means . The first phase executes the CA. CA self-organizes and recognizes the number of clusters k based on the similarities in the data, and it requires neither the number of clusters to be prespecified nor the initial centers to be manually selected. Therefore, it has a “blind” feature, that is, k is not preselected. The second phase performs the Lloyd iteration based on the results of the first phase. The C- K -means algorithm combines the advantages of CA and K -means. Experiments are carried out on the Spark platform, and the results verify the good scalability of the C- K -means algorithm. This algorithm can effectively solve the problem of large-scale data clustering. Extensive experiments on real data sets show that the accuracy and efficiency of the C- K -means algorithm outperforms the existing algorithms under both sequential and parallel conditions.
Publisher: Springer Science and Business Media LLC
Date: 27-03-2023
DOI: 10.1038/S41533-023-00337-8
Abstract: Asthma, a common chronic respiratory illness is mostly managed in primary care. We aimed to determine healthcare resources, organisational support, and doctors’ practice in managing asthma in a Malaysian primary care setting. A total of six public health clinics participated. We found four clinics had dedicated asthma services. There was only one clinic which had a tracing defaulter system. Long-term controller medications were available in all clinics, but not adequately provided. Resources, educational materials, and equipment for asthma management were present, though restricted in number and not placed in main locations of the clinic. To diagnose asthma, most doctors used clinical judgement and peak flow metre measurements with reversibility test. Although spirometry is recommended to diagnose asthma, it was less practiced, being inaccessible and unskilled in using as the main reasons. Most doctors reported providing asthma self-management asthma action plan, but for only half of the patients that they encountered. In conclusion, there is still room for improvement in the provision of clinic resources and support for asthma care. Utilising peak flow metre measurement and reversibility test suggest practical alternative in low resource for spirometry. Reinforcing education on asthma action plan is vital to ensure optimal asthma care.
Publisher: MDPI AG
Date: 20-04-2022
Abstract: Background: There is limited evidence on the association of anemia with chronic diseases and disabilities among older persons in Malaysia. We assessed the prevalence of anemia and its associated factors among community-dwelling older persons. Methods: This was a cross-sectional study using data from the nationwide National Health and Morbidity Survey 2015 (NHMS 2015) on the health of older adults conducted by the Institute for Public Health, National Institutes of Health, Malaysia. A two-stage stratified random-cluster s ling design was utilized. Data were collected on the sociodemographic profiles, non-communicable disease (NCD) comorbidities (hypertension, diabetes and hypercholesterolemia status) and disabilities among the older persons. Anemia was defined based on the World Health Organization’s standards. A multivariable logistic regression analysis was used to assess the association of anemia with chronic diseases and disabilities. Results: The prevalence of anemia was 35.3% (95% CI: 33.1, 37.4) in the older persons. Chronic disease profiling showed that the prevalence rates of anemia among the older persons with diabetes, hypertension and hypercholesterolemia were 38.6%, 35.3% and 34.1%, respectively. In the multivariable analysis, persons aged 80 years and above (adjusted OR (aOR): 2.64 95% CI: 2.00, 3.47), 70–79 years (aOR: 1.42 95% CI: 1.21, 1.66), with diabetes (aOR: 1.30 95% CI: 1.13, 1.51) and with disabilities in walking (aOR: 1.31 95% CI: 1.11, 1.54) and self-care (aOR: 1.58 95% CI: 1.22, 2.05) had higher odds of anemia compared to their respective reference categories. Among the persons with diabetes, the respondents aged 80 years and above (aOR: 2.48 95% CI: 1.56, 3.94), 70–79 years old (aOR: 1.38 95% CI: 1.08, 1.76) and with disabilities in vision (aOR: 1.29 95% CI: 1.02, 1.63) and walking (aOR: 1.50 95% CI: 1.18, 1.91) were more likely to be anemic. Furthermore, among the older persons without diabetes, persons aged 80 years and above (aOR: 2.89 95% CI: 2.05, 4.07), 70–79 years old (aOR: 1.46 95% CI: 1.19, 1.80) and with difficulty in self-care (aOR: 1.87 95% CI: 1.30, 2.69) were more likely to be anemic. Conclusions: The resilient predictors of developing anemia were advancing age and diabetes, based on our study. Anemia is significantly associated with walking and vision disabilities among older persons with diabetes and with self-care difficulties in those without diabetes. There is a need for future studies to evaluate strategies to prevent anemia among older adults in order to promote healthy aging.
Publisher: Elsevier BV
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: E.U. European Publishing
Date: 30-08-2023
DOI: 10.18332/TID/169682
Publisher: IEEE
Date: 05-2018
Publisher: Elsevier BV
Date: 05-2022
Publisher: Public Library of Science (PLoS)
Date: 10-05-2021
DOI: 10.1371/JOURNAL.PONE.0251111
Abstract: Shoulder rotator cuff tendinopathy is a common debilitating condition that affects a person daily function and the quality of life. Despite its frequent occurrence, the best treatment is still inconclusive. This review assessed the clinical effect of platelet-rich plasma injection for rotator cuff tendinopathy. A systematic literature search was conducted using CINAHL, Medline, SCOPUS, SPORTSDiscus and Web of Science databases to retrieve articles published in peer-reviewed journals until December 2020. Randomised controlled trials (RCTs), which compared clinical effects of PRP injection to the usual care among adults diagnosed with rotator cuff conditions were reviewed. The main outcomes of interest were changes in shoulder pain symptoms and shoulder functions. All variables were analysed using random effects meta-analyses. Eight RCTs were reviewed in this study. The risk of bias for randomization was low for 6 RCTs, one study had unclear risk and the other was a high risk. Studies vary on the PRP techniques including preparation and injections. Moreover, the control intervention also differs. Four studies compared PRP with normal saline injection while in the remaining 4 RCTs the control intervention were rehabilitation program and dry needling. Meta-analysis of selected studies showed that PRP injection was safe and effective intervention for long-term pain control and shoulder function in patients with RC disorders.
Publisher: Springer Singapore
Date: 2016
Publisher: ACM
Date: 10-07-2023
Publisher: MDPI AG
Date: 22-06-2023
Abstract: In recent years, edge-based intelligent UAV delivery systems have attracted significant interest from both the academic and industrial sectors. One key obstacle faced by these smart UAV delivery systems is data privacy, as they rely on vast amounts of data from users and UAVs for training machine learning models for person re-identification (ReID) purposes. To tackle this issue, federated learning (FL) has been extensively adopted as a promising solution since it only involves sharing and updating model parameters with a central server, without transferring raw data. However, traditional FL still suffers from the problem of having a single point of failure. In this study, we present a performance optimization method for federated person re-identification using benchmark analysis in blockchain-powered edge-based smart UAV delivery systems. Our method integrates a decentralized FL mechanism enabled by blockchain, which eliminates the necessity for a central server and stores private data on a decentralized permissioned blockchain, thus preventing a single point of failure. We employ the person ReID application in intelligent UAV delivery systems as a representative ex le to drive our research and examine privacy concerns. Additionally, we introduce the Federated Re-identification Consensus (FRC) protocol to address the scalability issue of the blockchain in supporting UAV delivery systems. The efficiency of our proposed method is illustrated through experiments on energy efficiency, confirmation time, and throughput. We also explore the effects of the incentive mechanism and analyze the system’s resilience under various security attacks. This study offers valuable insights and potential solutions for addressing data privacy and security challenges in the fast-growing domain of smart UAV delivery systems.
Publisher: BMJ
Date: 02-2021
DOI: 10.1136/BMJOPEN-2020-041452
Abstract: Smart technologies, digital health and eHealth have been shown to enhance institutional elderly care. Because of the rapidly ageing societies, information technologies in geriatric healthcare are urgently needed. A lot of innovation in smart healthcare has occurred in the past decade, and its use in nursing care assessment, daily living activities and service management is yet to be defined. More fundamentally, the concepts, definitions and scopes of a smart nursing home are still vague. Thus, this scoping review aims to examine the extent, range (variety) and nature (characteristics) of evidence on the existing smart concepts and feasible healthcare technologies, types of medical services in nursing home settings and acceptability of a smart nursing home by the elderly people ≥60 years old, their caregivers, nursing home operators and government agencies. This scoping review will be guided by the smart technology adoption behaviours of elder consumers theoretical model (Elderadopt) by Golant and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews. First, we will conduct an internet search for nursing homes and websites and databases related to the stakeholders to retrieve the definitions, concepts and criteria of a smart nursing home (phase 1). Second, we will conduct an additional systematic electronic database search for published articles on any measures of technological feasibility and integration of medical services in nursing home settings and their acceptability by nursing home residents and caregivers (phase 2). The electronic database search will be carried out from 1999 to 30 September 2020 and limited to works published in English and Chinese languages. For phase 2, the selection of literature is further limited to residents of nursing homes aged ≥60 years old with or without medical needs but are not terminally ill or bed-bound. Qualitative data analysis will follow the Framework Methods and thematic analysis using combined inductive and deductive approaches, conducted by at least two reviewers. This protocol is registered on osf.io (URL: osf.io/qtwz2/ ). Ethical approval is not necessary as the scoping review is not a primary study, and the information is collected from selected articles that are publicly available sources. All findings will be disseminated at conferences and published in peer-reviewed journals.
Publisher: Springer International Publishing
Date: 2020
Publisher: Elsevier BV
Date: 02-2011
Publisher: Elsevier BV
Date: 11-2022
Publisher: Springer Science and Business Media LLC
Date: 02-07-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
Publisher: IEEE
Date: 12-2011
Publisher: Elsevier BV
Date: 09-2018
Publisher: MDPI AG
Date: 13-06-2022
DOI: 10.3390/S22124464
Abstract: With the rapid growth of the Internet of Things (IoT), 5G networks and beyond, the computing paradigm for intelligent IoT systems is shifting from conventional centralized-cloud computing to distributed edge computing [...]
Publisher: IEEE
Date: 05-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2011
DOI: 10.1109/TSE.2010.99
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 03-2020
Publisher: Elsevier BV
Date: 10-2010
Publisher: Springer Science and Business Media LLC
Date: 05-05-2019
Publisher: IEEE
Date: 08-2017
DOI: 10.1109/CBD.2017.16
Publisher: Springer Science and Business Media LLC
Date: 09-2015
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Elsevier BV
Date: 10-2023
Publisher: Springer International Publishing
Date: 2015
Publisher: Springer International Publishing
Date: 2015
Publisher: ACM
Date: 30-01-2023
Publisher: Springer International Publishing
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 19-12-2019
Publisher: IEEE
Date: 07-2011
Publisher: Springer Science and Business Media LLC
Date: 20-09-2022
DOI: 10.1038/S41533-022-00294-8
Abstract: Supported self-management reduces asthma-related morbidity and mortality. This paper is on a feasibility study, and observing the change in clinical and cost outcomes of pictorial action plan use is part of assessing feasibility as it will help us decide on outcome measures for a fully powered RCT. We conducted a pre–post feasibility study among adults with physician-diagnosed asthma on inhaled corticosteroids at a public primary-care clinic in Malaysia. We adapted an existing pictorial asthma action plan. The primary outcome was asthma control, assessed at 1, 3 and 6 months. Secondary outcomes included reliever use, controller medication adherence, asthma exacerbations, emergency visits, hospitalisations, days lost from work/daily activities and action plan use. We estimated potential cost savings on asthma-related care following plan use. About 84% ( n = 59/70) completed the 6-months follow-up. The proportion achieving good asthma control increased from 18 (30.4%) at baseline to 38 (64.4%) at 6-month follow-up. The proportion of at least one acute exacerbation (3 months: % difference −19.7 95% CI −34.7 to −3.1 6 months: % difference −20.3 95% CI −5.8 to −3.2), one or more emergency visit (1 month: % difference −28.6 95% CI −41.2 to −15.5 3 months: % difference −18.0 95% CI −32.2 to −3.0 6 months: % difference −20.3 95% CI −34.9 to −4.6), and one or more asthma admission (1 month: % difference −14.3 95% CI −25.2 to −5.3 6 months: % difference −11.9 95% CI −23.2 to −1.8) improved over time. Estimated savings for the 59 patients at 6-months follow-up and for each patient over the 6 months were RM 15,866.22 (USD3755.36) and RM268.92 (USD63.65), respectively. Supported self-management with a pictorial asthma action plan was associated with an improvement in asthma control and potential cost savings in Malaysian primary-care patients. Trial registration number: ISRCTN87128530 prospectively registered: September 5, 2019, www.isrctn.com/ISRCTN87128530 .
Publisher: Elsevier BV
Date: 06-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/7609460
Abstract: Market-oriented reverse auction is an efficient and cost-effective method for resource allocation in cloud workflow systems since it can dynamically allocate resources depending on the supply-demand relationship of the cloud market. However, during the auction the price of cloud resource is usually fixed, and the current resource allocation mechanisms cannot adapt to the changeable market properly which results in the low efficiency of resource utilization. To address such a problem, a dynamic pricing reverse auction-based resource allocation mechanism is proposed. During the auction, resource providers can change prices according to the trading situation so that our novel mechanism can increase the chances of making a deal and improve efficiency of resource utilization. In addition, resource providers can improve their competitiveness in the market by lowering prices, and thus users can obtain cheaper resources in shorter time which would decrease monetary cost and completion time for workflow execution. Experiments with different situations and problem sizes are conducted for dynamic pricing-based allocation mechanism (DPAM) on resource utilization and the measurement of T i m e ⁎ C o s t (TC). The results show that our DPAM can outperform its representative in resource utilization, monetary cost, and completion time and also obtain the optimal price reduction rates.
Publisher: Research Square Platform LLC
Date: 31-08-2022
DOI: 10.21203/RS.3.RS-1848944/V1
Abstract: Asthma, a common chronic respiratory illness is mostly managed in primary care. We aimed to determine healthcare resources, organisational support, and doctors’ practice in managing asthma in public primary health clinics in Malaysia. A total of six clinics participated. Here, we found only four had dedicated asthma clinics. There was only one clinic which had a tracing defaulter system. Long-term controller medications were available in all clinics, however not adequately provided. Resources, educational materials, and equipment for asthma management were present, though restricted in number and not placed in important areas of the clinic. To diagnose asthma, most doctors used clinical judgement, peak flow meter measurements with reversibility test. Although spirometry is the recommended method to diagnose asthma, it was less practiced, being inaccessibility and unskilled in using as the main reasons. Most doctors reported providing asthma self-management asthma action plan, but for only half of the patients that they encountered. In conclusion, there is still room for improvement in the provision of clinic resources and support for asthma care. Utilising peak flow meter measurement and reversibility test suggest practical alternative in low resource for spirometry. Reinforcing education on asthma action plan is vital to ensure optimal asthma care.
Publisher: Wiley
Date: 12-09-2022
DOI: 10.1111/HEX.13360
Abstract: Adjusting to life with a chronic condition is challenging, especially for people with limited health literacy, which is associated with low compliance with self‐management activities and poor clinical outcomes. We explored how people with limited health literacy understand asthma and undertake self‐management practices. We adapted the arts‐based qualitative methodology Photovoice. We s led ethnically erse adults with asthma and limited health literacy from four primary healthcare clinics in Malaysia. After a semistructured in‐depth interview, a subset of participants took part in the Photovoice component in which participants undertook a 2‐week photo‐taking activity and subsequent photo‐interview. Interviews, conducted in participants' preferred language, were audio‐recorded, transcribed verbatim, translated and analysed thematically. We used the Sorensen's framework (Domains: access, understand, appraise, apply) to describe participants' experience of living with asthma, what they understood about asthma and how they decided on self‐management practices. Twenty‐six participants provided interviews eight completed the Photovoice activities. Participants with limited health literacy used various sources to access information about asthma and self‐management. Doctor–patient communication had a pivotal role in helping patients understand asthma. The lack of appraisal skills was significant and experiential knowledge influenced how they applied information. Self‐management decisions were influenced by sociocultural norms ractices, stigmatizing experiences, and available social support. Locally tailored multilevel interventions (interpersonal, health system, community and policy) will be needed to support people with limited health literacy to live optimally with their asthma in an ethnically erse population. Patients were involved in the study design, recruitment, analysis and dissemination.
Publisher: Elsevier BV
Date: 06-2023
Publisher: IEEE
Date: 05-2017
Publisher: IEEE
Date: 05-2017
Publisher: Elsevier BV
Date: 05-2019
Publisher: Springer Science and Business Media LLC
Date: 07-09-2018
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: IEEE
Date: 11-2019
Publisher: IEEE
Date: 11-2014
Publisher: Springer Science and Business Media LLC
Date: 27-03-2021
Publisher: IEEE
Date: 06-2017
DOI: 10.1109/ICWS.2017.22
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer International Publishing
Date: 2015
Publisher: IEEE
Date: 12-2008
Publisher: IEEE
Date: 11-2014
DOI: 10.1109/CCBD.2014.39
Publisher: Elsevier BV
Date: 03-2011
Publisher: Wiley
Date: 10-12-2020
DOI: 10.1111/EXSY.12504
Publisher: IEEE
Date: 05-2012
Publisher: ACM
Date: 24-08-2015
Publisher: IEEE
Date: 05-2013
Publisher: Wiley
Date: 28-09-2020
DOI: 10.1111/NHS.12771
Abstract: Physiotherapists report using a range of psychosocial strategies in their practice, yet, barriers to implementation include lack of time, limited knowledge, and minimal training. This research aimed to establish what training physiotherapists have had with regards to psychosocial strategies, why they think they would benefit from more training, what training they want, and delivery preferences. Content analysis of answers to four open‐ended, online survey questions collected from Australian physiotherapists ( N = 208) was conducted. Physiotherapists reported having minimal training specific to psychosocial strategies. Physiotherapists reported wanting training in assessment and management of psychosocial issues, and practical application of specific psychosocial strategies. Didactic and interactive training delivered by experts who understand the psychosocial needs of their patients, and the constraints of physiotherapy practice was preferred. These findings suggest that training in psychosocial strategies at the undergraduate level and continued professional development are necessary. Specifically, training in the assessment and management of psychosocial factors, and in referral processes is warranted, and should be applicable and appropriate for rehabilitation settings. Training should be both didactic and interactive as outlined in the proposed framework.
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 03-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Publisher: JMIR Publications Inc.
Date: 14-12-2020
Abstract: echnology, including mobile apps, has the potential to support self-management of long-term conditions and can be tailored to enhance adoption. We developed an app to support asthma self-management among people with limited health literacy in a web-based workshop (to ensure physical distancing during the COVID-19 pandemic). he aim of this study is to develop and test a prototype asthma self-management mobile app tailored to the needs of people with limited health literacy through a web-based workshop. e recruited participants from a primary care center in Malaysia. We adapted a design sprint methodology to a web-based workshop in five stages over 1 week. Patients with asthma and limited health literacy provided insights into real-life self-management issues in stage 1, which informed mobile app development in stages 2-4. We recruited additional patients to test the prototype in stage 5 using a qualitative research design. Participants gave feedback through a concurrent thinking-aloud process moderated by a researcher. Each interview lasted approximately 1 hour. Screen recordings of app browsing activities were performed. Interviews were audio-recorded and analyzed using a thematic approach to identify utility and usability issues. he stakeholder discussion identified four themes: in idual, family, friends, and society and system levels. Five patients tested the prototype. Participants described 4 ways in which the app influenced or supported self-management (utility): offering information, providing access to an asthma action plan, motivating control of asthma through support for medication adherence, and supporting behavior change through a reward system. Specific usability issues addressed navigation, comprehension, and layout. his study proved that it was possible to adapt the design sprint workshop to a web-based format with the added advantage that it allowed the development and the testing process to be done efficiently through various programs. The resultant app incorporated advice from stakeholders, including sources for information about asthma, medication and appointment reminders, accessible asthma action plans, and sources for social support. The app is now ready to move to feasibility testing.
Publisher: Springer Science and Business Media LLC
Date: 07-10-2022
DOI: 10.1186/S12877-022-03424-6
Abstract: Smart technology in nursing home settings has the potential to elevate an operation that manages more significant number of older residents. However, the concepts, definitions, and types of smart technology, integrated medical services, and stakeholders’ acceptability of smart nursing homes are less clear. This scoping review aims to define a smart nursing home and examine the qualitative evidence on technological feasibility, integration of medical services, and acceptability of the stakeholders. Comprehensive searches were conducted on stakeholders’ websites (Phase 1) and 11 electronic databases (Phase 2), for existing concepts of smart nursing home, on what and how technologies and medical services were implemented in nursing home settings, and acceptability assessment by the stakeholders. The publication year was inclusive from January 1999 to September 2021. The language was limited to English and Chinese. Included articles must report nursing home settings related to older adults ≥ 60 years old with or without medical demands but not bed-bound. Technology Readiness Levels were used to measure the readiness of new technologies and system designs. The analysis was guided by the Framework Method and the smart technology adoption behaviours of elder consumers theoretical model. The results were reported according to the PRISMA-ScR. A total of 177 literature (13 website documents and 164 journal articles) were selected. Smart nursing homes are technology-assisted nursing homes that allow the life enjoyment of their residents. They used IoT, computing technologies, cloud computing, big data and AI, information management systems, and digital health to integrate medical services in monitoring abnormal events, assisting daily living, conducting teleconsultation, managing health information, and improving the interaction between providers and residents. Fifty-five percent of the new technologies were ready for use in nursing homes (levels 6–7), and the remaining were proven the technical feasibility (levels 1–5). Healthcare professionals with higher education, better tech-savviness, fewer years at work, and older adults with more severe illnesses were more acceptable to smart technologies. Smart nursing homes with integrated medical services have great potential to improve the quality of care and ensure older residents’ quality of life.
Publisher: IEEE
Date: 12-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
DOI: 10.1109/TPDS.2013.20
Publisher: Informa UK Limited
Date: 06-2012
Publisher: IEEE
Date: 06-2016
DOI: 10.1109/ICWS.2016.46
Publisher: IEEE
Date: 12-2013
DOI: 10.1109/CSE.2013.147
No related grants have been discovered for Xiao Liu.