| Literature DB >> 32524147 |
Gang Li1, Guorui Fan2, Yanyan Chen3, Zhaohua Deng2.
Abstract
OBJECTIVE: In December 2019, coronavirus disease 2019 (COVID-19) occurred in Wuhan, China. Online fever clinics were developed by hospitals, largely relieving the hospital's burden. Online fever clinics could help people stay out of crowded hospitals and prevent the risk of cross infections. The objective of our study was to describe the patient characteristics of an online fever clinic and explore the most important concerns and question of online patients.Entities:
Keywords: COVID-19; consumer health informatics; descriptive research; online fever clinic; online health
Mesh:
Year: 2020 PMID: 32524147 PMCID: PMC7313994 DOI: 10.1093/jamia/ocaa062
Source DB: PubMed Journal: J Am Med Inform Assoc ISSN: 1067-5027 Impact factor: 4.497
Figure 1.The patient number for online and in-person fever clinics.
Descriptive statistics of the online fever clinic (n = 64 487)
| Variable | Data |
|---|---|
| Age, y | 30.4 ± 25.62 |
| ≤15 | 1348 (2.1) |
| 16-30 | 33 865 (52.5) |
| 31-45 | 25 239 (39.2) |
| 46-60 | 3569 (5.5) |
| >60 | 466 (0.7) |
| Sex | |
| Female | 37 665 (58.4) |
| Male | 26 822 (41.6) |
| Current state | |
| Outpatient observation | 975 (1.51) |
| Home isolated | 11 152 (17.29) |
| Home without isolation | 52 360 (81.2) |
| Wuhan exposure | 34 478 (53.47) |
| Huanan Seafood Wholesale Market exposure | 199 (0.3) |
| Waiting time, h | 7.19 ± 8.99 |
| Consultation time, h | 1.21 ± 3.79 |
| Total time, h | 8.41 ± 9.2 |
| Signs and symptoms | |
| Fever | 26 975 (41.83) |
| Headache | 12 562 (19.48) |
| Cough | 22 965 (35.61) |
| Expectoration | 10 208 (15.83) |
| Abdominal pain | 7238 (11.22) |
| Myalgia | 4708 (7.3) |
| Diarrhea | 3831 (5.94) |
| Fatigue | 5744 (8.9) |
| Runny nose | 10 728 (16.64) |
| Pharyngalgia | 17 120 (26.55) |
| Chest distress | 8562 (13.28) |
| Pant | 2853 (4.42) |
| Others | 11 367 (17.63) |
Values are mean ± SD or n (%).
Categories of patient consultations (n = 594)
| Categories of consultation | Data |
|---|---|
| Confirming diagnosis | 360 (60.61) |
| Seeking medical treatment | 226 (38.05) |
| Treating | 152 (25.59) |
| Preventing | 26 (4.38) |
| Relieving anxiety | 10 (1.68) |
Values are n (%). A consultation could have multiple intents.
Illustrations of patient consultations
| Categories of consultation | Representative questions |
|---|---|
| Confirming diagnosis | I don’t know why I have a fever. I’ve been at home all week, and I’m wearing protective clothing when I go out. Is my temperature abnormal because of infection or menstruation, or I didn’t take a good rest last night? Still caused by diarrhea! I'm so worried now. |
| Seeking medical treatment | I have a fever for two days, and my throat is irritated and diarrhea. What should I do? Should I stay at home or go to the hospital for a chest radio graph? |
| Treating | I have been home from Wuhan for four days. What medicine should I take for this symptom? At present, according to the treatment plan in Photo 2, I have made a tea drink, taken pharyngitis tablets and cough tablets for cough, do I need other operations or take other medicine? |
| Preventing | I had Wuhan exposure briefly 14 days ago, and have no symptoms to this day. May I ask if I am still in the incubation period? What precautions will be taken in the next day? |
| Relieving anxiety | I have a fever for two days, and the highest temperature is 37.5°C. Taking the medicine orally can lower the temperature. When I came into contact with a person from epidemic area, he had been away from Wuhan for a month (Over the incubation period of 14 days), and he has no symptoms to this day. May I have the possibility of infection? |
Descriptive statistics of the in-person fever clinic (n = 16 537)
| Variable | Data |
|---|---|
| Age, y | 49.2 ± 14.89 |
| ≤15 | 92 (0.5) |
| 16-30 | 1755 (10.6) |
| 31-45 | 5025 (30.4) |
| 46-60 | 5388 (32.6) |
| 60 | 4277 (25.9) |
| Sex | |
| Female | 8471 (51.2) |
| Male | 8066 (48.8) |
| Diagnostic results | |
| Fever | 7589 (45.9) |
| Pulmonary infections | 4254 (25.72) |
| Cough | 1172 (7.08) |
| Viral pneumonia | 838 (5.07) |
| Others | 2684 (16.23) |
Values are mean ± SD or n (%).