Digital Health

Hellmann, Alison; Emmons, Ashley; Prime, Matthew; Paranjape, Ketan; Heaney, Denise L.

doi:10.1016/j.cll.2022.09.006

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…Information and Communication Technologies are used for managing illnesses, and health risks, and promoting well-being, termed Digital Health (DH) [ 5 ]. With the advent of Artificial Intelligence DH will become an unavoidable and dominant theme in healthcare [ 6 ]. Although such technologies are associated with strengths and limitations, wearable healthcare devices and supporting mobile health applications are now accepted in some healthcare models [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Feasibility of Self-Management of Hypertension and Diabetes Using Patient-Generated Health Data Through M-health in Central India

Bali,

Pakhare

et al. 2024

Cureus

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Introduction: Digital health innovations are modern solutions for the management and treatment of diseases, particularly non-communicable diseases. This study was conducted to assess the feasibility of the management of diabetes and hypertension through patient-generated health data (PGHD). Methods: A mobile application (One Health) was used for the entry of data on blood pressure, blood glucose, physical activity, and dietary intake for six months by the patients. Frequency of application download, monthly data entry, and change in control of blood pressure and glycemic markers during six months of application use were used to assess the feasibility and impact of the application for the management of hypertension and type 2 diabetes mellitus (T2DM). Results: A higher proportion of patients entered data generated non-invasively (blood pressure) as compared to data generated via invasive techniques (glycemic control measures). The frequency of monthly data entry remained unchanged during One Health use. At the end of six months, control of hypertension and glycemic control was achieved in 53.3% and 33.9% of patients, respectively. Furthermore, there was a significant reduction of mean diastolic blood pressure (0.60 (±2.31); p=0.03) and glycosylated hemoglobin (0.657 (±1.808); p=0.04). Discussion: The acceptability of One Health appears to be associated with the frequency of data entry. The entry of health data by patients was sufficient to effect positive change in health indicators. Although mobile applications enable the monitoring and management of chronic health conditions, additional research shall help in optimizing interventions to be adopted as acceptable tools of patient management.

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Section: Introductionmentioning

confidence: 99%

Feasibility of Self-Management of Hypertension and Diabetes Using Patient-Generated Health Data Through M-health in Central India

Bali,

Pakhare

et al. 2024

Cureus

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“…However, it may have a negative impact at the individual level, whether due to rejection, addiction, or psychological stress, variables that should be evaluated [4].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Quality of Technophilia and Technophobia Validated Questionnaires for Management of Digital Health Interventions: Systematic Review and Delphi Consensus. (Preprint)

Ramírez-Pérez,

García-Conejo,

Trinidad-Fernández

et al. 2024

Preprint

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BACKGROUND Digitization has experienced a great growth in the last years and has emerged as a very promising tool for health interventions, but it is necessary to evaluate the variables that may influence the results of this intervention and are related with the patients such as rejection, addition, or stress due to the use of technological devices. In these terms, there is a evidence gap due to the fact there is no consensus regarding the questionnaires or scales to evaluate these variables. OBJECTIVE To synthesize the evidence about the relationship between patients and technological devices, and develop a questionnaire to measure levels of technophilia, technophobia and technostress. METHODS The systematic review included studies focused on the use of different questionnaires to evaluate the influence of technology on people. During the analysis, the data selected from each study were scale used, main variable, country and language used, sample size and study setting. In addition, for the development of the new questionnaire, Delphi procedure was used through the recruitment of ten experts, including software engineers, medical doctors, professors, and patients who completed two rounds of questionnaires. RESULTS Seven studies with a total of 3505 subjects were included. Among the studies, three of them evaluated technostress; two focused on technophobia, one assessed technophilia, and the other two studies combined the evaluation of technophobia and technophilia. Regarding the domains and items used, these were evaluated using Cronbach’s alpha scoring a range between 0.82 and 0.95. However, these results were greatly minor using other domains such as techno-communication avoidance device (0.491). Taking into account these domains, a questionnaire was constructed a priori and was refined through the two rounds of the Delphi panel, obtaining a new scale with three domains and eight items, establishing a minimum degree of agreement of 60% for priority items and 40% for secondary items. CONCLUSIONS A panel of experts were able to develop, based on the previous systematic review and on their own judgment, the eight items and the three domains to be included in the TECHNO-PROMS questionnaire, establishing a specific level of consensus, in order to plan a validation study for this scale.

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“…In recent years, advanced emerging information technologies such as 5G communication, artificial intelligence, big data, and cloud computing have found extensive applications in the healthcare field [1][2][3]. These advancements have prompted the traditional healthcare industry to embark on a new development path, focusing on digital health [4,5]. This shift has created favourable conditions for the rapid growth of the digital health industry.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Landscape of Digital Health in Sport Science: A Bibliometric Analysis of Global Research Trends and Future Directions (2010-2023)

Wang¹,

Li²,

Wang³

et al. 2023

Preprint

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Digital health has gained widespread adoption across various disciplines. Within the field of sport science, there is growing interest in digital health, leading to a surge in research activities. The objective of this study is to conduct a comprehensive bibliometric and visualization analysis, tracing the evolutionary trajectory, identifying research hotspots, and uncovering emerging trends in digital health within the domain of sport science. By doing so, this research aims to offer scholars a systematic and comprehensive understanding of the dynamic landscape in this field. To achieve this, the Web of Science core collection was chosen as the primary database. A thorough literature search was performed, focusing on digital health and sport science, resulting in the screening of 1870 English-language documents. The findings revealed a consistent upward growth trend in the annual publication count from 2010 to 2023. Notably, the United States, specifically the Commonwealth of Pennsylvania System of Higher Education, and John B. Cronin, emerged as the most prolific contributors in terms of publications. Collaborative efforts among countries, institutions, and authors were also observed. The research hotspots identified encompassed several areas, including the evaluation of digital health technologies' effectiveness, exploration of the relationship between digital health technologies and physical activity/exercise performance, and the use of digital health technologies in assessing and rehabilitating sports injuries. Among the prominent digital health technologies employed in these studies were virtual reality, social media, and wearable devices. The predominant types of studies utilized meta-analysis, randomized controlled trials, and cross-sectional studies. Looking towards the future, the study identified several key research trends. These include the exploration of telemedicine, artificial intelligence-based machine learning, therapeutic interventions, and physical therapy within the realm of digital health. These emerging areas signify promising directions for future investigation and development in the field of digital health within sport science.

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Digital Health

Cited by 6 publications

References 19 publications

Feasibility of Self-Management of Hypertension and Diabetes Using Patient-Generated Health Data Through M-health in Central India

Feasibility of Self-Management of Hypertension and Diabetes Using Patient-Generated Health Data Through M-health in Central India

Assessment of the Quality of Technophilia and Technophobia Validated Questionnaires for Management of Digital Health Interventions: Systematic Review and Delphi Consensus. (Preprint)

Exploring the Landscape of Digital Health in Sport Science: A Bibliometric Analysis of Global Research Trends and Future Directions (2010-2023)

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