Digital Health
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Medical Care ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Vinayak Bhardwaj ◽  
Erin M. Spaulding ◽  
Francoise A. Marvel ◽  
Sarah LaFave ◽  
Jeffrey Yu ◽  

2021 ◽  
Vol 42 (3) ◽  
Sunu Budhi Raharjo ◽  
Sarah Humaira ◽  
Lies Dina Liastuti

The prevalence of stroke in Indonesia increased overtime. CS ranges from 15 to 40% from all ischemic strokes. Finding the etiology of ischemic stroke is important to prevent recurrence. AF is predicted as the etiology behind CS. The current recommendation only supports short period of ECG monitoring. However, studies have shown that a higher detection rate can be achieved with longer duration of monitoring. ICM, a diagnostic tool with the highest detection rate, is still considered cost-effective when the calculation takes into account the QALY gained. Digital health tools such as handheld devices and smartwatch ECG have revolutionized the screening of AF however it is still considered as pre-diagnostic and verification is needed to confirm the rhythm generated.

Daphna Yeshua-Katz

Digital health research has highlighted the fact that people with stigmatized health problems are drawn to online support groups (OSG) because these groups help them to manage their stigmatized health conditions. However, little is known about how media affordances— the interaction between the technology and the user—reconfigure the ways in which stigmatized individuals use OSG and interact with others like themselves. The current study applied an affordance framework to evaluate how Facebook and WhatsApp support groups can help military veterans and their partners cope with posttraumatic stress disorder (PTSD) and was based on interviews with 34 PTSD OSG members in Israel. This research identified five affordances that members appraised to enhance their coping efforts in the digital world: visibility, availability, multimediality, surveillance, and synchronicity. This study reveals the connection between a specific stigmatizing mental health disorder (i.e., PTSD), perceptions of communication technologies (i.e., affordances), and specifies uses of technologies for coping with this mental health disorder. Moreover, this study may inform digital intervention designers about which communication affordances can potentially lead to better health outcomes.

Martina Skrubbeltrang Mahnke ◽  
Mikka Nielsen

This paper explores how Danish citizens experience digital health data and how these in turn affect their understanding of digital health data and their self-understanding as a patient. Previous research on digital health data examines primarily opportunities and challenges as well as structural effects concluding that having access to one's medical data is generally beneficial for patients but also comes with literacy challenges. The aim of this research is to look deeper into personal experiences with digital health data in order to understand what is at stake when people become digitally mapped patients and how experiences of empowerment, independence, perplexity, and doubt intermingle when reading one’s own health data. Taking a user’s view, the paper draws theoretically on the concept of ‘assemblage’ understanding digital health data as a complex nexus of user-data relationships. The empirical analysis draws on 16 in-depth purposefully sampled interviews that have been coded thematically. The primary analysis shows that digital health data creates unique, deeply emotional experiences that lead towards a variety of existential questions. Combining the theoretical lens with the empirical analysis this paper contributes with what we call ‘health assemblages’ that highlight the emerging relationships and personal emotional attachments users make with their digital health data. In conclusion, it can be stated that seeing oneself mapped in data creates unique experiences, often challenging the self-understanding of the patient.

2021 ◽  
Vol 12 (1) ◽  

AbstractBen Glocker (an expert in machine learning for medical imaging, Imperial College London), Mirco Musolesi (a data science and digital health expert, University College London), Jonathan Richens (an expert in diagnostic machine learning models, Babylon Health) and Caroline Uhler (a computational biology expert, MIT) talked to Nature Communications about their research interests in causality inference and how this can provide a robust framework for digital medicine studies and their implementation, across different fields of application.

2021 ◽  
Waldo Beausejour ◽  
Simon Hagens

BACKGROUND Canadian nurses are at the forefront of patient care delivery. While the Canadian health care system is embracing digital health, nurses are bound to integrate virtual care into practice. In early 2020, more Canadian nurses delivered care virtually than three years before. OBJECTIVE This study sought to uncover the professional and care setting related characteristics of the nurses who delivered care virtually in 2020 and to investigate the factors driving the uptake of virtual care by nurses prior to the pandemic of COVID-19. METHODS We utilized data from the 2017 and 2020 National survey of Canadian nurses. This survey collected data on the use of digital health technologies in nursing practice. It concerned regulated nursing professionals working in different health care settings and from different domains of nursing practice. We combined Chi-square independence test and logistic regression analysis to uncover the main drivers of virtual care uptake by nurses in 2020. RESULTS In early 2020, prior to the pandemic of COVID-19, nurses who delivered care virtually were predominantly nurse practitioners (85%), more likely to work in a primary or community care setting (62%), or in an urban setting (62%). Factors like nursing designation (P < .01), perceived quality of care at the health facility where the nurses practiced (P < .01), and the type of patient record keeping system they had access to (P < .05) had a statistically significant effect on the probability for nurses to deliver care virtually in early 2020. Furthermore, nurses’ perception of the quality of care they delivered through virtual technologies was statistically associated with their perception of the skills (Chi-square=308.66, P < .01) and knowledge (Chi-square=283.39, P < .01) to use these technologies. CONCLUSIONS The study revealed some disparities in the uptake of virtual care by nurses across geographic regions. From an allocation standpoint, this finding should help decision-makers to pinpoint gaps in digital health utilization. Similarly, discrepancies in the use of virtual health across nursing designation have some implications for leadership at the care settings and for nurse educators in terms of competences and training for nurses at all levels of practice. Moreover, care settings are strongly encouraged to modernize their patient record keeping system as access to EMRs tended to influence the adoption of virtual care, which could foster interoperability. Finally, policy-related factors should not be overlooked when it comes to virtual care technologies integration in nursing practice.

Rui Liu ◽  
Suraksha Gupta ◽  
Parth Patel

AbstractSocial media enables medical professionals and authorities to share, disseminate, monitor, and manage health-related information digitally through online communities such as Twitter and Facebook. Simultaneously, artificial intelligence (AI) powered social media offers digital capabilities for organizations to select, screen, detect and predict problems with possible solutions through digital health data. Both the patients and healthcare professionals have benefited from such improvements. However, arising ethical concerns related to the use of AI raised by stakeholders need scrutiny which could help organizations obtain trust, minimize privacy invasion, and eventually facilitate the responsible success of AI-enabled social media operations. This paper examines the impact of responsible AI on businesses using insights from analysis of 25 in-depth interviews of health care professionals. The exploratory analysis conducted revealed that abiding by the responsible AI principles can allow healthcare businesses to better take advantage of the improved effectiveness of their social media marketing initiatives with their users. The analysis is further used to offer research propositions and conclusions, and the contributions and limitations of the study have been discussed.

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