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Grijalvo M, Ordieres-Meré J, Villalba-Díez J, Aladro-Benito Y, Martín-Ávila G, Simon-Hurtado A, Vivaracho-Pascual C. Sufficiency for PSS tracking gait disorders in multiple sclerosis: A managerial perspective. Heliyon 2024; 10:e30001. [PMID: 38707444 PMCID: PMC11066638 DOI: 10.1016/j.heliyon.2024.e30001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 05/07/2024] Open
Abstract
This study primarily aimed to explore the capabilities of digitalisation in the healthcare context, focusing on a specific disease. In this case, the study examined the potential of remote monitoring of gait to address the sensitivity of multiple sclerosis progression to gait characteristics by adopting a non-invasive approach to remotely quantify gait disturbances in a patient's daily life. To better understand the managerial aspects associated with this approach, the researchers conducted a literature review along with a set of semi-structured interviews. The target population included MS patients as well as the key agents involved in their care: patients' family members, neurologists, MS nurses, physiotherapists, medical directors, and pharmacist. The study identifies the perceived barriers and drivers that could contribute to the successful deployment of PSS remote gait monitoring as a healthcare service: i) At mega-level governance. Implications on privacy and security data are notable barriers missing on the speech. ii) At macro level, funding is highlighted as main barrier. The cost and lack of health system subsidies may render initiatives unsustainable, as emphasised by the interviewees. iii) At meso level, useable data is recognised as a driver. The data collection process can align with diverse interests to create value and business opportunities for the ecosystem actors, enhance care, attract stakeholders, such as insurers and pharma, and form partnerships. iv) At micro-level processes, we find two potential barriers: wearable device and app usability (comfort, navigation, efficiency) and organisational/behavioural aspects (training, digital affinity, skills), which are crucial for value creation in innovation ecosystems among patients and healthcare professionals. Finally, we find an interesting gap in the literature and interviews. Stakeholders' limited awareness of technological demands, especially from information technologies, for a successful long-term service, can be consider two key barriers for PSS.
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Affiliation(s)
- Mercedes Grijalvo
- Department of Organizational Engineering, Business Administration and Statistics, Universidad Politécnica de Madrid, Madrid, Spain
| | - Joaquín Ordieres-Meré
- Department of Organizational Engineering, Business Administration and Statistics, Universidad Politécnica de Madrid, Madrid, Spain
| | | | - Yolanda Aladro-Benito
- Department of Neurology, Getafe University Hospital, Madrid, Spain
- Faculty of Biomedical and Health Sciences, European University of Madrid, Madrid, Spain
| | | | - Arancha Simon-Hurtado
- Departamento de Informática, Escuela de Ingeniería Informática de Valladolid, Universidad de Valladolid, Paseo de Belén 15, 47011, Valladolid, Spain
| | - Carlos Vivaracho-Pascual
- Departamento de Informática, Escuela de Ingeniería Informática de Valladolid, Universidad de Valladolid, Paseo de Belén 15, 47011, Valladolid, Spain
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Alsahli S, Hor SY, Lam M. Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review. JMIR Mhealth Uhealth 2023; 11:e50419. [PMID: 37938873 PMCID: PMC10666016 DOI: 10.2196/50419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/13/2023] [Accepted: 10/04/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND During the COVID-19 pandemic, the provision of and access to health care have been uniquely challenging, particularly during lockdowns or when dealing with COVID-19 cases. Health care professionals have had to provide patients with the necessary health care. However, delivering health care services while reducing face-to-face interaction puts an immense strain on health systems that are already overburdened. Against this backdrop, it is now more critical than ever to ensure the accessibility of health care services. Such access has been made increasingly available through mobile health (mHealth) apps. These apps have the potential to significantly improve health care outcomes and expectations and address some of the challenges confronting health care systems worldwide. Despite the advantages of mHealth, its acceptance and adoption remain low. Hence, health care organizations must consider the perceptions and opinions of physicians if the technology is to be successfully implemented. OBJECTIVE The objective of this systematic review was to explore and synthesize the scientific literature on the factors influencing the acceptance and adoption of mHealth among physicians during the COVID-19 pandemic. METHODS A systematic review of the studies published between March 2020 and December 2022 was conducted using the MEDLINE, Scopus, Embase, and ProQuest databases. The database search yielded an initial sample of 455 potential publications for analysis, of which 9 (2%) met the inclusion criteria. The methodology of this review was based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). RESULTS The factors influencing mHealth acceptance and adoption by physicians were divided into perceived barriers and perceived facilitators, which were further grouped into the following 3 major thematic categories: technological, individual, and organizational barriers and facilitators, respectively. The technological barriers were accessibility, technical issues, usefulness, and data management; individual barriers were perceived patient barriers, time and workload pressure, technical literacy, knowledge of mHealth, and peer support; and organizational barriers were financial factors, management support and engagement, data security, telemonitoring policy, and collaboration. The technological facilitators of uptake were technical factors, clinical usefulness, and data management; individual facilitators were patient-related care, intrinsic motivation, collaboration, and data sharing (individual); and organizational facilitators were workflow-related determinants, organizational financial support, recommendation of mHealth services, and evidence-based guidelines. CONCLUSIONS This review summarized the evidence on the factors influencing mHealth acceptance and adoption by physicians during the COVID-19 pandemic. The main findings highlighted the importance of addressing organizational readiness to support physicians with adequate resources, shifting the focus from technological to patient-centered factors, and the seamless integration of mHealth into routine practice during and beyond the pandemic. TRIAL REGISTRATION PROSPERO CRD42022356125; https://tinyurl.com/2mmhn5yu.
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Affiliation(s)
- Sultan Alsahli
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia
- Department of Health Information Technology and Management, College of Public Health and Health Informatics, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Su-Yin Hor
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia
| | - Mary Lam
- Department of Health and Biomedical Sciences, STEM College, RMIT University, Melbourne, Australia
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Nurhayati E, Hapsari ED, Rosyidah R, Helmyati S. Educational models of infant and young child feeding among prenatal and postnatal women during the COVID-19 pandemic (January 2020-January 2023): A scoping review. Nutrition 2023; 115:112150. [PMID: 37541144 DOI: 10.1016/j.nut.2023.112150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/23/2023] [Accepted: 06/28/2023] [Indexed: 08/06/2023]
Abstract
Infant and young children feeding (IYCF) practices, particularly for infants and young children <2 y old, became increasingly challenging during the COVID-19 pandemic. Several studies have discussed various educational models in the pre-pandemic period, most of which were conducted in person. The last reviews on IYCF interventions were conducted in 2020 and were relevant to pre-pandemic contexts. Thus, there is a need to review IYCF interventions to inform educational models adapted to the COVID-19 pandemic. This study aimed to describe the IYCF educational models proposed during the COVID-19 pandemic. For this relevant literature, we searched PubMed, SCOPUS, EBSCO, ProQuest, Sage Journals, and Wiley Online Library. Thirty-five literature sources were screened, and 7 data sources were included for data extraction and analysis. Many studies on the IYCF educational models focused on exclusive breastfeeding and early initiation of breastfeeding; there was only one study on complementary feeding, and no research was found on continued breastfeeding. Four studies found no significant differences in the intervention given. Three studies had a significant effect, one had in-person meetings, and two consisted of WhatsApp discussions. Most IYCF educational models from the pandemic context comprised online education, whereas WhatsApp was the most popular media used. Future researchers may develop these findings to design research on a larger scale and for a longer period, especially on complementary feeding and continued breastfeeding based on IYCF indicators.
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Affiliation(s)
- Eka Nurhayati
- Department of Midwifery, Faculty of Health Sciences, Universitas Alma Ata, Yogyakarta, Indonesia; Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; Center for Health and Human Nutrition, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Elsi Dwi Hapsari
- Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; Center for Health and Human Nutrition, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; Department of Pediatric and Maternity Nursing, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Rafhani Rosyidah
- Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; Center for Health and Human Nutrition, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; Department of Midwifery, Universitas Muhammadiyah Sidoarjo, Indonesia
| | - Siti Helmyati
- Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; Center for Health and Human Nutrition, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; Department of Nutrition and Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
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Hackl WO, Neururer SB, Pfeifer B. Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications. Yearb Med Inform 2023; 32:127-137. [PMID: 38147856 PMCID: PMC10751109 DOI: 10.1055/s-0043-1768756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023] Open
Abstract
OBJECTIVE In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2022 in the CIS field. METHODS The editors follow a systematic approach to gather relevant articles and select the best papers for the section. This year, they updated the query to incorporate the topic of telemedicine and removed search terms related to geographic information systems. The revised query resulted in a larger number of identified papers, necessitating the appointment of a third section editor to handle the increased workload. The editors narrowed the initial pool of articles to 15 candidate papers through a multi-stage selection process. At least seven independent reviews were collected for each candidate paper, and a selection meeting with the IMIA Yearbook editorial board led to the final selection of the best papers for the CIS section. RESULTS The query was carried out in mid-January 2023 and retrieved a deduplicated result set of 5,206 articles from 1,500 journals. This year, 15 papers were nominated as candidates, and four were finally selected as the best papers in the CIS section.Including telemedicine in the query resulted in a substantial increase in the number of papers found. The analysis highlights the growing convergence between clinical information systems and telemedicine, with mobile health (mHealth) technologies and data science applications gaining prominence. The selected candidate papers emphasize the practical impact of research efforts, focusing on patient-centric outcomes and benefits, including intelligent mobile health monitoring systems and AI-assisted decision-making in healthcare. CONCLUSIONS Looking ahead, the field of CIS is expected to continue evolving, driven by advances in telemedicine, mHealth technologies, data science, and AI integration, leading to more efficient, patient-oriented, and intelligent healthcare systems and overall improvement of global healthcare outcomes.
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Affiliation(s)
- Werner O. Hackl
- Division for Digital Health and Telemedicine, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria
| | - Sabrina B. Neururer
- Division for Digital Health and Telemedicine, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria
- Tyrolean Federal Institute for Integrated Care, Tirol Kliniken GmbH, Innsbruck, Austria
| | - Bernhard Pfeifer
- Division for Digital Health and Telemedicine, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria
- Tyrolean Federal Institute for Integrated Care, Tirol Kliniken GmbH, Innsbruck, Austria
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Liu J, Lai S, Rai AA, Hassan A, Mushtaq RT. Exploring the Potential of Big Data Analytics in Urban Epidemiology Control: A Comprehensive Study Using CiteSpace. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3930. [PMID: 36900941 PMCID: PMC10001733 DOI: 10.3390/ijerph20053930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/15/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
In recent years, there has been a growing amount of discussion on the use of big data to prevent and treat pandemics. The current research aimed to use CiteSpace (CS) visual analysis to uncover research and development trends, to help academics decide on future research and to create a framework for enterprises and organizations in order to plan for the growth of big data-based epidemic control. First, a total of 202 original papers were retrieved from Web of Science (WOS) using a complete list and analyzed using CS scientometric software. The CS parameters included the date range (from 2011 to 2022, a 1-year slice for co-authorship as well as for the co-accordance assessment), visualization (to show the fully integrated networks), specific selection criteria (the top 20 percent), node form (author, institution, region, reference cited, referred author, journal, and keywords), and pruning (pathfinder, slicing network). Lastly, the correlation of data was explored and the findings of the visualization analysis of big data pandemic control research were presented. According to the findings, "COVID-19 infection" was the hottest cluster with 31 references in 2020, while "Internet of things (IoT) platform and unified health algorithm" was the emerging research topic with 15 citations. "Influenza, internet, China, human mobility, and province" were the emerging keywords in the year 2021-2022 with strength of 1.61 to 1.2. The Chinese Academy of Sciences was the top institution, which collaborated with 15 other organizations. Qadri and Wilson were the top authors in this field. The Lancet journal accepted the most papers in this field, while the United States, China, and Europe accounted for the bulk of articles in this research. The research showed how big data may help us to better understand and control pandemics.
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Affiliation(s)
- Jun Liu
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
| | - Shuang Lai
- School of Public Policy and Administration, Northwestern Polytechnical University, Xi’an 710072, China
| | - Ayesha Akram Rai
- School of Medicine, Xi’an Jiaotong University, Xi’an 710049, China
| | - Abual Hassan
- Faculty of Mechanical Engineering and Ship Technology, Gdansk University of Technology, 80-233 Gdansk, Poland
| | - Ray Tahir Mushtaq
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
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Segal G, Martsiano Y, Markinzon A, Mayer A, Halperin A, Zimlichman E. A blockchain-based computerized network infrastructure for the transparent, immutable calculation and dissemination of quantitative, measurable parameters of academic and medical research publications. Digit Health 2023; 9:20552076231194851. [PMID: 37654719 PMCID: PMC10467243 DOI: 10.1177/20552076231194851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/27/2023] [Indexed: 09/02/2023] Open
Abstract
Digital transformation of healthcare systems should rely on decentralized computer networks and take advantage of the unique characteristics of blockchain technology. Decentralization ensures process transparency and data transparency for all relevant stakeholders. These values are essential in the realms of populations' healthcare information communications and processing, control and tracking of medical logistics supply chains, clinical research management, and control of certified healthcare services organizations. Mounting decentralized processes onto a blockchain-based computerized network will endow the values of immutability, improved cybersecurity, and potential for incentivizing stakeholders for relevant, pre-determined activities. One of the most relevant processes that would benefit from a decentralized, blockchain-based architecture is the submission, review, and publishing of scientific manuscripts. Current structures and processes in this world are non-transparent, poorly incentivizing significant stakeholders such as manuscripts' reviewers, and many are potentially corrupted. In this review, we suggest a blockchain-based architecture for such systems and advocate further research and development in several domains of modern healthcare systems-offering medicine to become "the new guy on the block (chain)."
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Affiliation(s)
- Gad Segal
- Blockchain-Based Technologies in Medicine Research and Development Laboratory, ARC Innovation Center, The Chaim Sheba Medical Center, Ramat-Gan, Israel
- Education Authority, The Chaim Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Yonatan Martsiano
- Blockchain-Based Technologies in Medicine Research and Development Laboratory, ARC Innovation Center, The Chaim Sheba Medical Center, Ramat-Gan, Israel
- School of Medicine, University of Nicosia, Nicosia, Cyprus
| | - Alina Markinzon
- Education Authority, The Chaim Sheba Medical Center, Ramat-Gan, Israel
| | | | - Avner Halperin
- Management Wing, The Chaim Sheba Medical Center, Ramat-Gan, Israel
- Harvard Kennedy School, Belfer Center, Middle East Initiative (MEI), Cambridge, MA, USA
| | - Eyal Zimlichman
- Blockchain-Based Technologies in Medicine Research and Development Laboratory, ARC Innovation Center, The Chaim Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Management Wing, The Chaim Sheba Medical Center, Ramat-Gan, Israel
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