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:

BACKGROUND: In contrast to the current broad dissemination of telemedicine across medical specialties, previous research focused on the effectiveness of telemedicine in special populations and for behavioral health encounters; demonstrating that both physician and patient factors impact the efficacious use of telemedicine. OBJECTIVE: We evaluated physician perceptions of the appropriateness of telemedicine for patients attending the primary care practices of a federally qualified health center in New York City. METHODS: Anonymous cross-sectional survey including closed and open-ended questions. We used chi-square to test whether providers from certain specialties were more likely to state they would use telemedicine in the future. We used t-test to compare age between those who would vs. would not use telemedicine. Then, we used logistic regression to test whether age and specialty were both correlated with desire to use telemedicine in the future. We used thematic content analysis to describe the reasons providers felt they would not want to use telemedicine in the future, and to describe the situations for which they felt telemedicine would be appropriate. RESULTS: Of 272 FHC providers who were sent the electronic survey, 159(58%) responded within the 2-week survey time frame. Mean age of providers was 45 years (range 28-75). Overall, 81% stated they would use telemedicine in the future. Compared to the Family Medicine, Internal Medicine, Behavioral Health, Dental, and OB/GYN specialties, providers from Pediatrics, Med-Peds, Subspecialties and Surgery [Pro-telemedicine specialties] were more likely to believe telemedicine would be useful post pandemic (94% vs. 72%, p<0.05). Providers who reported they would use telemedicine in the future were younger [mean age 44(42-46) vs. 50(46-55), p<0.01). In regression analysis, both pro-telemedicine specialties and age were significantly associated with odds of reporting they would use telemedicine in the future [pro-specialties: 5.2(1.7-16.2); younger age: 1.05(1.01-1.08)]. Providers who did not want to use telemedicine in the future cited concerns about inadequate patient care, lack of physical patient interaction, technology issues, and lack of necessity. Providers who felt telemedicine would be useful cited the following situations: follow up visits, medication refills, urgent care, patient convenience, and specific conditions such has behavioral health, dermatology visits, and chronic care management. CONCLUSIONS: The majority of health providers in this resource poor setting in a federally qualified health center believed that telemedicine would be useful for providing care after the pandemic is over. CLINICALTRIAL:
["Prevention"]