Would your problem identified in unit 2 lend itself to a qualitative or quantitative design? What level of
evidence (research design) would best address the problem? Explain your answer.
Unit 2 Problem
Health workers use various tools and resources to get digital information for application in health care. My
PICOT question for research, In patients diagnosed with COVID-19 (P), by sharing health status via a
tracking tool (I), as oppose to those that do not (C) will a reduction of spread occur (O) during the incubation
period. Today, many countries have contact tracing apps to address or contain the current outbreak,
COVID-19. The app keeps anonymous data of persons the phone’s owner has contacted. The data stays
on the smartphone until the owner becomes symptomatic. In this manner, the symptomatic person will
permit his or her phone to submit data to the tracing app, notifying all those they made contact that they
could be infected (Young & Holton, 2020). While this app has many benefits, privacy concerns override key
benefits related to tracing and social distancing. Several apps come with a Bluetooth that determines the
number of people a person has come into contact with because one Bluetooth is designed to match others.
Besides, some apps can create logs or send data to a central server on the number of contacts a person
has made. Elsewhere, some apps allow automatic location access while others bar this data until the user
permits or is asked to provide additional details on where he or she made certain contacts.
Contact tracing apps highlight the growing challenge of using private data to safeguard health.
Governments want to contain COVID-19 at the expense of civil liberties. Therefore, the overall takeaway is
that patients must sacrifice some values, especially privacy, to be healthy. Put in a different way; in using
the tracing app, people must apply the cost-benefit analysis. For example, how much privacy should I
sacrifice to stay away from COVID-19 and rescue my job? Still, to lessen costs, authorities must agree on
when the surveillance should end and how the collected data will be deleted after serving the anticipated
purpose (Mauro, 2020).