Design of Mobile Healthcare Reminder for Chronic Diabetes

Mobile technology has been increasingly used in healthcare services. However, little has been done in handling patients of chronic disease. Accordingly, this study aims to design a mobile reminder system that cares for patients’ selfmanagement of their chronic diabetes. To achieve the main aim, the following sub objectives have been formulated; (i) to identify the requirements for the mobile healthcare reminder suitable for chronic diabetes, (ii) to develop and construct the prototype of the system, (iii) to evaluate the prototype in terms of perceived usefulness, perceived ease of use, and satisfaction. The prototype has been evaluated using an adapted questionnaire, involving 30 patients in Baghdad Hospital. The results reveal that the prototype is perceived useful and easy to use by the participants. Also, they are highly satisfied with the prototype. The outcome of this study would help mobile healthcare applications developers to design future mobile reminder system particularly for patients who are suffering from chronic diseas

Design of mobile healthcare reminder for chronic diabetes

Mobile technology has been increasingly used in healthcare services.However, little has been done in handling patients of chronic disease. Accordingly, this study aims to design a mobile reminder system that cares for patients’ self management of their chronic diabetes. To achieve the main aim, the following sub objectives have been formulated; (i) to identify the requirements for the mobile healthcare reminder suitable for chronic diabetes, (ii) to develop and construct the prototype of the system, (iii) to evaluate the prototype in terms of perceived usefulness, perceived ease of use, and satisfaction. The prototype has been evaluated using an adapted questionnaire, involving 30 patients in Baghdad Hospital.The results reveal that the prototype is perceived useful and easy to use by the participants.Also, they are highly satisfied with the prototype. The outcome of this study would help mobile healthcare applications developers to design future mobile reminder system particularly for patients who are suffering from chronic disease

M-health adoption by healthcare professionals : a systematic review

Objective The aim of this systematic review was to synthesize current knowledge of the factors influencing healthcare professional adoption of mobile health (m-health) applications. Methods Covering a period from 2000 to 2014, we conducted a systematic literature search on four electronic databases (PubMed, EMBASE, CINAHL, PsychInfo). We also consulted references from included studies. We included studies if they reported the perceptions of healthcare professionals regarding barriers and facilitators to m-health utilization, if they were published in English, Spanish, or French and if they presented an empirical study design (qualitative, quantitative, or mixed methods). Two authors independently assessed study quality and performed content analysis using a validated extraction grid with pre-established categorization of barriers and facilitators. Results The search strategy led to a total of 4223 potentially relevant papers, of which 33 met the inclusion criteria. Main perceived adoption factors to m-health at the individual, organizational, and contextual levels were the following: perceived usefulness and ease of use, design and technical concerns, cost, time, privacy and security issues, familiarity with the technology, risk-benefit assessment, and interaction with others (colleagues, patients, and management). Conclusion This systematic review provides a set of key elements making it possible to understand the challenges and opportunities for m-health utilization by healthcare providers

Adoption of product service systems in health care.

Health care systems are constantly challenged to deliver better quality of care at lower cost. Product Services Systems (PSS) aim to output a higher value to a customer, while reducing resource input required to achieve such value and sustainability. In the health care market this could help companies increase their focus on value for the patient, but also for the health care system as such. This focus on value can ultimately help drive down health care cost, which is one of the most pressing issues in health care systems today. The potential of PSS to address some of the major challenges in the health care market was recognised early in PSS research, however adoption in this field is still below expectation. Motivated by the potential of PSS in health care this work aims to explore the current status of adoption as well as drivers and barriers to future adoption in this market and evaluates if and how PSS can be designed and implemented by companies active in this market. This work showed that PSS can be feasible and useful in this sector as they address relevant current challenges. Future changes in the health care market will likely make PSS even more relevant. Certain concepts of PSS are already applied in the market without leveraging the benefits of a fully developed PSS. Limitations in how the value for patients and other market actors is determined and made transparent is a major challenge in the adoption of PSS. An assessment method is proposed to enable companies to evaluate the value generation of their PSS offerings. In addition, a guideline for PSS design is proposed based on results of this work and field observations. This thesis contributes to a better understanding of PSS adoption in health care by investigating mechanisms in the health care market to understand if PSS can be implemented in a useful manner and how PSS can be adopted in health care in the future. As PSS consists of a number of separate concepts that may be used by themselves and also outside a PSS concept, a detailed analysis was performed to evaluate how PSS concepts are already utilized by industry, as such partial implementations may be a good starting point for full PSS adoption. Adoption of a PSS in any industry requires a measure to evaluate the success of a system implementation or the quality of PSS offerings. Given the complex market network in health care, metrics for evaluations have been identified, linking different dimensions of clinical utility to PSS. Those metrics enable companies to assess PSS systems or scenarios, but also enable development teams to focus their PSS design efforts, as those assessment metrics provide a framework for PSS requirements engineering in this market. Based on the results of the work outlined above, design guidelines were defined to support the development process of PSS in health care.PhD in Manufacturin

Information needs and seeking behaviour of doctoral students using smartphones and tablets for learning : a case of the University of Cape Coast, Ghana

Text in English, with abstracts and keywords in English, Zulu and AfrikaansThis qualitative study investigated the information needs and information-seeking behaviour of doctoral students who use smartphones or tablets for learning. Fifteen doctoral students who are registered at the University of Cape Coast were interviewed. Ellis’s (1989) model of information-seeking behaviour guided the study and supported the researcher in developing a model that could be used to acquire an understanding of how mobile technologies influence information needs and information-seeking behaviour. Two contexts influence the participants’ information needs and information-seeking behaviour, namely, the academic context and their everyday life contexts. The interplay between the elements of the context in which participants find themselves and their mental structures appear to influence their information needs and information-seeking behaviour. Most of the participating students do not seem to have the required information literacy skills to seek information in an online environment. The contextual elements that appear to influence the participants’ information needs and searching behaviour include situations in action, academic tasks and information resources. The ability to connect to the Internet and retrieve online sources of information proved to be important. The participants use the mobile devices to retrieve information from the Internet and in some instances from the university library’s resources. Certain device-related characteristics, such as small screens, limited memory space and short battery lifespan, seem to affect the usefulness of mobile devices for information-seeking purposes. The cost of data and an inability to connect to the Internet, due to disruptions in network signals and a lack of Wi-Fi infrastructure, also curb the use of mobile devices. WhatsApp not only provides the participants with the means to share information and discuss their academic tasks, but it also makes collaboration and group work possible. Some of the students lack the required information literacy skills to make optimal use of the library’s resources. Therefore, it would be prudent for the university to include information literacy skills training in the curricula for all levels of study. This requirement should also include doctoral students who have not previously completed an information literacy course.Lolu cwaningo lohlelo olugxile kwingxoxo beluphenya izidingo zolwazi kanye nezenzo zokucinga ulwazi lwabafundi abakwiziqu zesibili abasebenzisa ama-smartphones noma ama-tablets ukufunda. Abafundi abayishumi nanhlanu abasezingeni leziqu zesibili abazibhalise kwi-University of Cape Coast bebehlolwa ngokwezimvo. Imodeli ka-Ellis (1989) yezenzo ezihlose ukufumana ulwazi ihole ucwaningo futhi yaxhasa umcwaningi ekuthuthukisweni kwemodeli engasetshenziswa ukuthola ulwazi olumayelana nokuthi ngabe izinhlelo zobuchwepheshe be-inthanethi yefowunu zithinta kanjani izidingo zolwazi kanye nezenzo ezihlose ukuthola ulwazi. Izizinda ezimbili zinomthelela phezu kolwazi lwabadlalindima kanye nokuziphatha okuhlose ukuthola ulwazi, zona yilezi yisizinda sezemfundo kanye nezizinda ezimayelana nempilo yabo yansuku zonke. Ukuhlangana phakathi kwezinhlaka ezimayelana nesizinda abadlalindima abazithola ngaphakathi kwaso kanye nokuhleleka kwemiqondo yabo kubonakala kunomthelela phezu kwezidingo zabo zolwazi kanye nokuziphatha okuhlose ukuthola ulwazi. Iningi labafundi abadlala indima alibonakali lifuna amakhono olwazi lokufunda ukuze bacinge ulwazi kwisizinda kwu-inthanethi. Izinhlaka zesizinda ezibonakala zithinta izidingo zolwazi lwabadlalindima kanye nezenzo zokusesha zifaka izimo kwimisebenzi yezenzo zemfundo kanye nemithombo yolwazi. Ikhono lokuxhumanisa i-inthanethi kanye nokuvumbulula imithombo ye-inthanethi kukhombisa kusemqoka kakhulu. Abadlalindima basebenzisa izixhobo zomakhalekhukhwini ukulandelela ulwazi ku Inthanethi, kanti kwezinye izimo, ukuthola ulwazi kwimithombo eyithala lezincwadi yasenyuvesi. Yize-kunjalo, izimpawu ezithile ezihlobene nezixhobo, ezingamasikirini amancane, isikhala esincane sokugcina ulwazi kanye nempilo emfushane yebhediri, kubonakala kuthinta izinga lokusebenziseka kwezixhobo ezingomakhalekhukhwini ngezinhloso zokucinga ulwazi. Izindleko zedatha kanye nokungakwazi ukuxhumana nge Inthanethi ngenxa yokuphazamiseka kwamasiginali obuxhakaxhaka benediweki kanye nokwentuleka kwengqalasizinda ye Wi-Fi kanti futhi nokuvimbela ukusetshenziswa kwezixhobo ezingomakhalekhukhwini. Uhlelo lwe-WhatsApp aluhlinzeka kuphela abadlalindima ngamasu okuphana ngolwazi kanye nokuxoxa ngemisebenzi yezemfundo, kanti futhi yenza ukuthi kube nokusebenzisana kanye nokuthi iqembu likwazi ukusebenza. Abanye babafundi baswela amakhono wokufunda adingekayo ukuze bakwazi ukusebenzisa ngokusezingeni eliphezulu kwemithombo yethala lezincwadi. Ngakho-ke, bekungaba kuhle kwinyuvesi ukuthi izinhlelo zokuqeqesha mayelana namakhono olwazi lokufunda kwikharikhulamu yawo wonke amazing ocwaningo. Lezi zinhlelo ezifunekayo kufanele futhi zisebenze kubafundi beziqu zesibili abangakaze esikahthini esedlule baphothule isifundo sokuthola ulwazi.Hierdie kwalitatiewe studie het ondersoek ingestel na die inligtingsbehoeftes en inligtingsoekgedrag van doktorale studente wat slimfone of tablette vir hul studie gebruik. Onderhoude is gevoer met vyftien doktorale studente wat by die University of Cape Coast geregistreer is. Ellis (1989) se model van inligtingsoekgedrag het die studie gerig en het die navorser ondersteun in die ontwikkeling van ’n model wat gebruik kan word om ’n begrip te vorm van hoe mobiele tegnologieë inligtingsbehoeftes en inligtingsoekgedrag beïnvloed. Twee kontekste affekteer die deelnemers se inligtingsbehoeftes en inligtingsoekgedrag, naamlik die akademiese konteks en die konteks van hul daaglikse lewe. Dit wil voorkom of die wisselwerking tussen die elemente van die konteks waarin deelnemers hulself bevind, asook hul verstandelike strukture, hul inligtingsbehoeftes en inligtingsoekgedrag beïnvloed. Die meeste van die deelnemende studente beskik klaarblyklik nie oor die nodige inligtingsgeletterdheidsvaardighede om in ’n aanlyn omgewing vir inligting te soek nie. Die kontekstuele elemente wat skynbaar die deelnemers se inligtingsbehoeftes en -soekgedrag beïnvloed, sluit situasies in aksie- akademiese take en inligtingshulpbronne in. Daar is bevind dat die vermoë om tot die internet te koppel en aanlyn inligtingsbronne te verkry, belangrik is. Die deelnemers gebruik die mobiele apparate om inligting van die internet, en in sommige gevalle, van die universiteit se biblioteekhulpbronne te verkry. Sommige apparaatkenmerke soos klein skerms, beperkte geheuespasie en kort batterylewe blyk ‘n uitwerking op die bruikbaarheid van mobiele apparate vir inligtingsoekdoeleindes te hê. Die koste van data en ’n onvermoë om tot die internet te koppel vanweë onderbrekings in netwerksein en ’n gebrek aan Wi-Fi infrastruktuur belemmer ook die gebruik van mobiele apparate. WhatsApp bied nie net aan die deelnemers ’n manier om inligting te deel en hul akademiese take te bespreek nie; dit maak ook samewerking en groepwerk moontlik. Sommige van die studente beskik nie oor die nodige inligtingsgeletterdheidvaardighede om die biblioteek se hulpbronne optimaal te kan benut nie. Daarom sal dit wys wees as die universiteit opleiding in inligtingsgeletterdheidvaardighede in die kurrikula vir alle studievlakke insluit. Hierdie vereiste moet ook geld vir nagraadse studente wat nie vantevore ’n kursus in inligtingsgeletterdheid voltooi het nie.Information ScienceD. Litt et Phil. (Information Science

Opportunities and barriers for m-health in New Zealand : a thesis presented in partial fulfilment of the requirements for the degree of Master of Information Science in Software Engineering at Massey University

This thesis describes a study to determine the opportunities and barriers for mobile health in New Zealand. The world total of mobile phones currently stands at 2.5 billion and is set to reach 3 billion by the end of 2007 [1]. New Zealand has approximately 3.8 million mobile subscribers [2],[3] and this country, along with many others, recognizes the opportunities for using mobile technology in healthcare. Mobile health (m-health) has moved past the hype stage overseas; there is good evidence for improved productivity, and growing evidence for improved patient engagement. Broadband wireless, improved mobile devices and integrated mobile applications will continue this growth. New Zealand health and disability providers can adapt these overseas m-health successes to develop their own mobile health strategies [4]. M-health involves the use of mobile technology to enhance health services. The mobile technology can be either a short-distance or long-distance technology, or be device driven. The health industry is an information intensive industry, and as New Zealand has a public healthcare model, the idea of information integration among and within health sectors is encouraged. The purpose of this study is to identify the barriers and opportunities of m-health in New Zealand. Following an introduction, the literature survey defines the scope of the study. It first discusses wireless and mobile computing technologies, then looks at New Zealand healthcare information strategies and the importance of information in the health industry. Finally, these two topics are investigated by exploring the literature on the use of wireless technology in healthcare - in both clinical and non-clinical applications. M-health is a new area of development in the health industry. Hence the practical part of the research used a qualitative research strategy, determined to be appropriate to obtaining a better understanding of any phenomena about which little is yet known [5]. The two main parts of this research include the questionnaire and the interviews. The questionnaire sample was selected from health users, health planners, health technology suppliers, and academics, and covered areas of patient care, primary care, secondary care, community care, and integrated care. The interview sample consisted of technology strategists, primary healthcare planners, secondary healthcare planners, and community healthcare planners. The main focus of the interview was to find out about the future of m-health in New Zealand, analyze which sectors can benefit from m-health, examine the opportunity for customized software on mobile devices, gather possibilities of mobile assistance toward integrated care, and lastly, find out about the privacy and security issues of using mobile technology in healthcare. The questionnaire results indicate that the patients would appreciate receiving health services on their mobile phones. There is strong agreement that patients will benefit from text reminders, health awareness campaigns, and patient monitoring. The findings indicate that community nurses could use m-health technology to improve integration of information. There are two differing opinions on Electronic Health Records (EHRs) and their mobility across all sectors - the technology strategists think it is very important, but the health planners are divided. The opportunities that have been identified from the interviews include monitoring, health alarms, patient engagement in healthcare, community workers information integration, SMS reminders and alerts, ability of health workers to work offsite, prescription feedback, and using PDAs where necessary to enable electronic data capture. The barriers include legacy systems, disparate systems, lack of standards, lack of integration tools, lack of bandwidth, DHB-led initiatives, older health planners who are resistant to technology, ill population having the least uptake of technology, inability to share information with patients, development of mobile applications, infrastructure investment, telecommunication barriers, changed management, lack of technical capabilities, and cultural barriers