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This paper presents an integrated and easy methodology for bibliometric analysis. The proposed methodology is evaluated on recent research activities to highlight the role of the Internet of Things in healthcare applications. Different tools are used for bibliometric studies to explore the breadth and depth of different research areas. However, these Methods consider only the Web of Science or Scopus data for bibliometric analysis. Furthermore, bibliometric analysis has not been fully utilised to examine the capabilities of the Internet of Things for medical devices and their applications. There is a need for an easy methodology to use for a single integrated analysis of data from many sources rather than just the Web of Science or Scopus. A few bibliometric studies merge the Web of Science and Scopus to conduct a single integrated piece of research. This paper presents a methodology that could be used for a single bibliometric analysis across multiple databases. Three freely available tools, Excel, Perish or Publish and the R package Bibliometrix, are used for the purpose. The proposed bibliometric methodology is evaluated for studies related to the Internet of Medical Things (IoMT) and its applications in healthcare settings. An inclusion/exclusion criterion is developed to explore relevant studies from the seven largest databases, including Scopus, Web of Science, IEEE, ACM digital library, PubMed, Science Direct and Google Scholar. The study focuses on factors such as the number of publications, citations per paper, collaborative research output, h-Index, primary research and healthcare application areas. Data for this study are collected from the seven largest academic databases for 2012 to 2022 related to IoMT and their applications in healthcare. The bibliometric data analysis generated different research themes within IoMT technologies and their applications in healthcare research. The study has also identified significant research areas in this field. The leading research countries and their contributions are another output from the data analysis. Finally, future research directions are proposed for researchers to explore this area in further detail.

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This paper gives insights into recent research developments in the field of digital solutions for people with aphasia and tries to analyse its impact on their rehabilitation. A bibliometric research approach is used for data collection. Relevant studies were extracted from seven major academic databases from years 2000 to 2019 inclusive. The systematic process resulted in 986 studies. The average growth in this field is 4%, which is less compared to other research areas. However, the average citations per paper is 7.27, which represents a medium level of publication quality. Scopus and Web of Science are leading databases for the number of studies (379 and 264) and quality of publications (P-Index: 49.26 and 32.85), respectively. The USA, with 42% of publications, leads this research field, followed by the UK with 15%. Both countries have national aphasia strategies in place through charities (not government level strategies), which potentially contributed to their research leadership. The results show that recent advances in digital solutions have the potential to support people with aphasia. However, further work is needed at both academic and government levels to deliver more research contributions and funding for the rehabilitation of people with aphasia.

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Purpose: Research shows that people with disabilities have same desire for travel and tourism as others, but many constraints prevent them from independent travelling. Although the disabled tourism market is expanding, still there is lack of empirical research on impact analysis of assistive technology (AT) assisted travel and tourism with focus on the people with dementia (PWD). This study investigates the impacts of AT assisted travel and tourism for the PWD.Methods: The questionnaire-based survey gathered data from 327 PWD. SPSS is used to perform exploratory factor analysis and canonical coefficient analysis for investigating the usability of AT assistance in travel and tourism.Results: Results reveal four motivational (facilitated travel and tourism, cost effectiveness, easier communication and needs compatibility) and three achievements dimensions (improved achievements, improved independence and improved safety). Independent travel is desired by the PWD without any external help and ATs can help them in doing so. The use of AT can further accommodate in choosing the tourism activities, attractions and leisure management. The PWD feel improvements in their achievements through the use of ATs in travel and tourism.Conclusions: AT support, resultantly improves the confidence and self-esteem of the PWD and motivate them towards rehabilitation and independent living.Implications for rehabilitationThis study provides finer empirical understanding of the needs, motivations and achievements of the people with dementia (PWD) who use assistive technologies (ATs) for travel and tourism.Usually PWD have different motivations and accessibility needs, their travel and tourism related behaviours might also differ from the people not identified as having dementia.The ATs (facilitated travel and tourism, cost effectiveness, easier communication and needs compatibility) are the motivational factors for the PWD and should be focused during the development of ATs. These factors will allow PWD to better plan their travel and tourism activities without the help of their caregivers. The AT assisted communication opportunities will help PWD to eliminate their feeling of social isolation from rest of the community.AT supported travel and tourism results into sense of improved achievements, improved independence and improved safety on the part of the PWD. Resultantly, they feel more motivated to do activities, which otherwise they might be reluctant to perform. The sense of safety, independence and achievement does impact PWD psychologically and would help them towards rehabilitation.This study provides pointers for the dementia policy makers related to AT supported travel and tourism based on the real needs of the PWD.

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This study explores important factors of assistive technology (AT) and evaluates their relative impact on AT effectiveness and retention. Questionnaire based survey is used for data collection from 327 people with dementia (PWD). This empirical study uses statistical techniques including exploratory factor analysis for factor identification, linear regression for impact study, Kruskal Wallis H and Mann Whitney U tests for the statistical significant study in terms of demographic and characteristics. The exploratory factor analysis results into 11 factors: operational support, physical support, psychological support, social support, cultural match, reduced external help, affordability, travel help, compatibility, effectiveness and retention. The results reveal that social support, psychological support and travel help and reduced external help strongly impact on AT effectiveness and retention. The users are motivated by socialization support through using AT without any external help. The use of AT during travelling improves confidence of the PWD and helps them psychologically.

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BACKGROUND: This study presents an overview of recent research activities in assistive technology (AT) for people with dementia. Bibliometric studies are used to explore breadth and depth of different research areas, yet this method has not yet been fully utilised in AT research for people with dementia. METHODS: The bibliometric method was used for collecting studies related to AT. Based on inclusion/exclusion criteria, the AT studies with a focus on people with dementia are considered. STUDY SCOPE: The study is based on factors such as number of publications, citations per paper, collaborative research output, P-Index, major research and application areas and national dementia strategies. DATA COLLECTION: Data were collected from 2000 to 2014 in AT research. The top 10 countries are selected based on their research outputs. RESULTS: USA emerged as the leading contributor with 503 publications and an annual growth rate of 16%, followed by UK with 399 publications and growth rate of 22%. Germany with 101 publications is on the 6th place, but it has a higher citation rate 16.43% as compared to USA (13.34%). Although all 10 countries show good collaborative research output, Italy, Spain and the Netherlands emerge as top collaborative research contributors with high percentages (84%, 84% and 79%). All the top 10 countries, except Canada, Germany and Spain, have national dementia strategies in place. CONCLUSION: The overall analysis shows that USA and UK are working extensively in AT research for people with dementia. Both these countries also have well established national dementia strategies.

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