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Making the COVID-19 Pandemic a Driver for Digital Health in Brazil

Making the COVID-19 Pandemic a Driver for Digital Health in Brazil | healthcare technology | Scoop.it

The COVID-19 outbreak exposed several problems faced by health systems worldwide, especially concerning the safe and rapid generation and sharing of health data. However, this pandemic scenario has also facilitated the rapid implementation and monitoring of technologies in the health field.

 

In view of the occurrence of the public emergency caused by SARS-CoV-2 in Brazil, the Department of Informatics of the Brazilian Unified Health System created a contingency plan. In this paper, we aim to report the digital health strategies applied in Brazil and the first results obtained during the fight against COVID-19. Conecte SUS, a platform created to store all the health data of an individual throughout their life, is the center point of the Brazilian digital strategy.

 

Access to the platform can be obtained through an app by the patient and the health professionals involved in the case. Health data sharing became possible due to the creation of the National Health Data Network (Rede Nacional de Dados em Saúde, RNDS).

 

A mobile app was developed to guide citizens regarding the need to go to a health facility and to assist in disseminating official news about the virus. The mobile app can also alert the user if they have had contact with an infected person. The official numbers of cases and available hospital beds are updated and published daily on a website containing interactive graphs.

 

These data are obtained due to creating a web-based notification system that uses the RNDS to share information about the cases.

 

Preclinical care through telemedicine has become essential to prevent overload in health facilities. The exchange of experiences between medical teams from large centers and small hospitals was made possible using telehealth.

 

Brazil took a giant step toward digital health adoption, creating and implementing important initiatives; however, these initiatives do not yet cover the entire health system. It is expected that the sharing of health data that are maintained and authorized by the patient will become a reality in the near future.

 

The intention is to obtain better clinical outcomes, cost reduction, and faster and better services in the public health network.

 

read more at https://publichealth.jmir.org/2021/6/e28643/

 

 

nrip's insight:

The whole context of health data sharing became evident and the need stronger than ever before amid the covid19 pandemic. Here daily updates of epidemiological data for control and decision-making by governments and health system were required.

 

The use of apps within healthcare  (mHealth) is now a reality, and the number of mobile apps created has been increasing.

 

MHealth apps have been implemented for training, information sharing, risk assessment, self-management of symptoms, contact tracing, home monitoring, and decision making. They are considered valuable tools for citizens, health professionals, and decision-makers in facing critical challenges imposed by the pandemic.

 

The COVID-19 pandemic has demonstrated the importance and usefulness of digital health strategies and has allowed the insertion of these solutions into health care systems in the long term

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Case-Initiated COVID-19 Contact Tracing Using Anonymous Notifications

Case-Initiated COVID-19 Contact Tracing Using Anonymous Notifications | healthcare technology | Scoop.it

We discuss the concept of a participatory digital contact notification approach to assist tracing of contacts who are exposed to confirmed cases of coronavirus disease (COVID-19);

 

The core functionality of our concept is to provide a usable, labor-saving tool for contact tracing by confirmed cases themselves

 

the approach is simple and affordable for countries with limited access to health care resources and advanced technology.

 

The proposed tool serves as a supplemental contract tracing approach to counteract the shortage of health care staff while providing privacy protection for both cases and contacts.

  • This tool can be deployed on the internet or as a plugin for a smartphone app.
  • Confirmed cases with COVID-19 can use this tool to provide contact information (either email addresses or mobile phone numbers) of close contacts.
  • The system will then automatically send a message to the contacts informing them of their contact status, what this status means, the actions that should follow (eg, self-quarantine, respiratory hygiene/cough etiquette), and advice for receiving early care if they develop symptoms.
  • The name of the sender of the notification message by email or mobile phone can be anonymous or not.
  • The message received by the contact contains no disease information but contains a security code for the contact to log on the platform to retrieve the information.

 

Conclusion

The successful application of this tool relies heavily on public social responsibility and credibility, and it remains to be seen if the public would adopt such a tool and what mechanisms are required to prevent misuse.

 

This is a simple tool that does not require complicated computer techniques despite strict user privacy protection design with respect to countries and regions. Additionally, this tool can help avoid coercive surveillance, facilitate the allocation of health resources, and prioritize clinical service for patients with COVID-19. Information obtained from the platform can also increase our understanding of the epidemiology of COVID-19.

 

read this concept paper at https://mhealth.jmir.org/2020/6/e20369

 

 

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Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection

Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection | healthcare technology | Scoop.it

Contact tracing aims to avoid transmission by isolating, at an early stage, only those individuals who are infectious or potentially infectious, to minimize the societal costs associated with isolation. Considerable resources are therefore directed at improving surveillance capacities to allow efficient and rapid investigation and isolation of cases and their contacts. To enhance tracing capacities, the use of digital technologies has been proposed, leveraging the widespread use of smartphones. Therefore, proximity-sensing applications have been designed and made available to automatically trace contacts, notify users about potential exposure to COVID-19, and invite them to isolate.

 

The efficacy of digital contact tracing against coronavirus disease 2019 (COVID-19) epidemic is debated: Smartphone penetration is limited in many countries, with low coverage among the elderly, the most vulnerable to COVID-19.

 

Quantifying the impact of digital contact tracing is essential to envision this strategy within a wider response plan against the COVID-19 epidemic.

 

We modeled this intervention together with household isolation assuming a 50% detection of clinical cases. In a scenario of high transmissibility (R = 2.6), we found that household isolation by itself would produce a reduction in peak incidence of 27%, while the inclusion of digital contact tracing could increase this effect by 30% for a reasonably achievable app adoption (~20% of the population) and by 144% for a large-scale app adoption (~60%). At a moderate transmissibility level (R = 1.7), the app would substantially damp transmission (36 to 89% peak incidence reduction for increasing app adoption), bringing the epidemic to manageable levels if adopted by 32% of the population or more.

 

The app-based tracing and household isolation have different effects across settings, the first intervention efficiently preventing transmissions at work that are not well targeted by the second.

 

Moreover, app-based contact tracing also yields a protection for the elderly despite the lower penetration of smartphones in this age category.

 

These results may inform the inclusion of digital contact tracing within a COVID-19 response plan.

 

read the study at https://advances.sciencemag.org/content/7/15/eabd8750

 

nrip's insight:

Contact tracing works, if done right. In the early stages of the pandemic, a number of issues with contact tracing were seen. A majority of them were to do with the lack of knowledge/training about how to carry it out And the magnitude of the task it entailed for a set of untrained workers. 

 

A contact tracing strategy must be built into public health surveillance systems and evolved to be with the times whenever needed, with the hope that it is not needed.

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Acceptability of App-Based Contact Tracing for COVID-19

Acceptability of App-Based Contact Tracing for COVID-19 | healthcare technology | Scoop.it

The COVID-19 pandemic is the greatest public health crisis of the last 100 years. Countries have responded with various levels of lockdown to save lives and stop health systems from being overwhelmed. At the same time, lockdowns entail large socioeconomic costs.

 

One exit strategy under consideration is a mobile phone app that traces the close contacts of those infected with COVID-19.

 

Recent research has demonstrated the theoretical effectiveness of this solution in different disease settings. However, concerns have been raised about such apps because of the potential privacy implications. This could limit the acceptability of app-based contact tracing in the general population. As the effectiveness of this approach increases strongly with app uptake, it is crucial to understand public support for this intervention.

 

Objective: The objective of this study is to investigate the user

acceptability of a contact-tracing app in five countries hit by the pandemic.


Methods: We conducted a largescale, multicountry study (N=5995) to measure public support for the digital contact tracing of COVID-19 infections.

 

We ran anonymous online surveys in France, Germany, Italy, the United Kingdom, and the United States and measured intentions to use a contact-tracing app across different installation regimes (voluntary installation vs automatic installation by mobile phone providers) and studied how these intentions vary across individuals and countries.


Results: We found strong support for the app under both regimes, in all countries, across all subgroups of the population, and irrespective of regional-level COVID-19 mortality rates.

We investigated the main factors that may hinder or facilitate uptake and found that concerns about cybersecurity and privacy, together with a lack of trust in the government, are the main barriers to adoption.


Conclusions:

 

Epidemiological evidence shows that app-based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app and that it can still reduce the number of infections if uptake is moderate. Our findings show that the willingness to install the app is very high. The available evidence suggests that app-based contact tracing may be a viable approach to control the diffusion of COVID-19.

 

read the study at https://mhealth.jmir.org/2020/8/e19857

 

nrip's insight:

A lot of research and anecdotal evidence shows that mHealth/Mobile App based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app. 

that it can still reduce the number of infections if uptake is moderate is interesting to note.

 

 

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