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:

OBJECTIVE: To compare outcomes before and after implementation of medical abortion (termination of pregnancy) without ultrasound via telemedicine. DESIGN: Cohort analysis. SETTING: The three main abortion providers. POPULATION OR SAMPLE: Medical abortions at home at </=69 days' gestation in two cohorts: traditional model (in-person with ultrasound, n = 22 158) from January to March 2020 versus telemedicine-hybrid model (either in person or via telemedicine without ultrasound, n = 29 984, of whom 18 435 had no-test telemedicine) between April and June 2020. Sample (n = 52 142) comprises 85% of all medical abortions provided nationally. METHODS: Data from electronic records and incident databases were used to compare outcomes between cohorts, adjusted for baseline differences. MAIN OUTCOME MEASURES: Treatment success, serious adverse events, waiting times, gestation at treatment, acceptability. RESULTS: Mean waiting time from referral to treatment was 4.2 days shorter in the telemedicine-hybrid model and more abortions were provided at </=6 weeks' gestation (40% versus 25%, P < 0.001). Treatment success (98.8% versus 98.2%, P > 0.999), serious adverse events (0.02% versus 0.04%, P = 0.557) and incidence of ectopic pregnancy (0.2% versus 0.2%, P = 0.796) were not different between models. In the telemedicine-hybrid model, 0.04% were estimated to be over 10 weeks' gestation at the time of the abortion; all were completed safely at home. Within the telemedicine-hybrid model, effectiveness was higher with telemedicine than in-person care (99.2% versus 98.1%, P < 0.001). Acceptability of telemedicine was high (96% satisfied) and 80% reported a future preference for telemedicine. CONCLUSIONS: A telemedicine-hybrid model for medical abortion that includes no-test telemedicine and treatment without an ultrasound is effective, safe, acceptable and improves access to care. TWEETABLE ABSTRACT: Compelling evidence from 52 142 women shows no-test telemedicine abortion is safe, effective and improves care.
["Prevention"]