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During the COVID-19 pandemic there were increased doctor visits conducted over telemedicine. This led to concerns that increased telemedicine utilization may increase the likelihood of

  1. During the COVID-19 pandemic there were increased doctor visits conducted over telemedicine. This led to concerns that increased telemedicine utilization may increase the likelihood of being prescribed an antibiotic when compared to an in-person visit. A study was conducted to determine if a patient being evaluated for rhinosinusitis is more likely to be prescribed antibiotics if seen via a telemedicine visit versus in-person. Patients seen in a doctor's office from March to May in person in 2019 for rhinosinusitis were compared to patients seen by the same doctor's office by telemedicine for the same diagnosis from March to May in 2020 (during COVID-19). The results were summarized as follows.

Received Antibiotics
Yes No
Telemedicine 1496 579
In-person 2804 850

What can you conclude about these results?

  1. The null hypothesis of this study is that there is a statistical difference between patients who receive antibiotics in an in-person visit compared to patients seen in a telemedicine visit.
  2. Because the chi-squared test statistic computed in this contingency table is only 15.2, the study researchers failed to reject the null hypothesis, and determined that any difference in antibiotic prescription rate between patients seen in-person versus via telemedicine was not significant.
  3. The odds ratio of being prescribed antibiotics while being seen via telemedicine versus in-person is 0.78 with a chi-squared test statistic of 15.2, meaning a patient is less likely to be prescribed antibiotics while being seen in a telemedicine visit in this study.
  4. The odds ratio of receiving antibiotics while being seen in-person versus via a telemedicine visit is 0.78 with a chi-squared test statistic of 15.2, meaning a patient is more likely to be prescribed antibiotics while being seen in a telemedicine visit in this study.
  5. The p-value associated with the test statistic in the study is >0.05, so the researchers failed to reject the null hypothesis.

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