You are presented with a paragraph from a COVID-19 literature. Classify the topics of this piece of text by choosing from the following categories:

- Epidemic Forecasting: The content relates to predictions about the spread of COVID-19.
- Treatment: The paragraph discusses therapeutic methods or medication for COVID-19.
- Prevention: The content covers measures to prevent the spread of COVID-19.
- Mechanism: The paragraph explains the biological mechanisms of the virus.
- Case Report: The content is a report of a COVID-19 case.
- Transmission: The paragraph discusses how COVID-19 is transmitted.
- Diagnosis: The content is about diagnosing COVID-19 in individuals.

Your classification should be provided as an element within a JSON array. The array should be formatted with topics enclosed in double quotes and separated by commas, following the JSON format, for example: ["Topic1", "Topic2", ...]. Include all applicable topics within the array. Your output should be a valid JSON array, and no additional text should be included in your response.

Article:

Introduction: The COVID-19 pandemic has been an unprecedented threat to our health care system. Clinicians had to pivot and develop creative and timely "virtual" solutions to provide clinical care. Our aim was to develop a standardized approach to virtual "mask fitting" for children who are either being initiated or are already on existing long-term ventilation (LTV) at a pediatric hospital. Case and outcomes: We present three cases involving the care of children who required mask fitting for noninvasive ventilation (NIV). LTV team consultations were delivered via videoconference or phone. With the guidance of the respiratory therapist (RT), the family caregiver (FC) took measurements on their child using a standardized clinical approach (developed by the LTV RTs). Based on the measurements, an appropriate mask was selected. Successful mask fit was based on patient/FC reports, as well as objective leak data obtained from the NIV download data. Discussion: Virtual clinics used for managing patients in our LTV program were feasible and efficient resulting in improved workflow for the RTs and convenience for patients and FCs. Patients and FCs had significantly less pressure to attend in-person clinics and expressed high satisfaction in terms of their experience and importantly, meeting respiratory care needs. Within the context of COVID-19, remote patient education and intervention can be delivered effectively, while reducing the risk of exposure from in-person visits to hospital. Conclusion: A virtual/telemedicine program to manage pediatric patients requiring mask fitting for LTV was a feasible option during COVID-19.
["Prevention"]