Study population characteristics
Twenty-one GP were interviewed. Women and young and urban doctors were overrepresented in terms of the GP population profile in the PACA region (Table 1).
Table 1
Characteristics of the population
| Features | Study population (21) | Percentage (%) |
---|
Gender | M | 8 | 38 |
Age group | Under 30 years old | 4 | 19 |
| 30 to 50 years | 12 | 57 |
| 50 years and over | 5 | 24 |
Activity | Cabinet | 14 | 67 |
| Mixed | 7 | 33 |
Year of installation | Less than 5 years | 12 | 57 |
| 5 to 10 years | 3 | 14 |
| 10 years and over | 6 | 29 |
Exercise area | Urban | 17 | 81 |
| Rural | 4 | 19 |
No. of COVID-19 patients managed … |
| Less than 50 | 2 | 10 |
| 50 à 100 | 10 | 48 |
| More than 100 | 9 | 43 |
…over the last 15 days | Less than 3 | 13 | 62 |
| 3 à 5 | 5 | 24 |
| More than 5 | 3 | 14 |
Attitudes towards recommendations
Half of the GP said they followed the HAS recommendations. (Table 2). Only one did not implement any recommendation. This GP told us: "I’ve read the HAS recommendations, but it’s mainly clinical common sense that prevails. We manage COVID-19 like we manage a bad flu". (GP7)
Most GP (n = 18) reported they had adapted their practices to new recommendations
"At the beginning, I systematically prescribed macrolides and corticotherapy to prevent any bacterial infection…. I stopped when the updated recommendations arrived" (GP3)
Fourteen GP declared they had regularly discussed the recommendations with colleagues working in the same group practice. They also used social networks and peer groups.
“Every day, my colleagues and I shared information on how to apply the recommendations; it was clearly a delegation of trust to those [GP] who were following the publications, as I was, frankly, overwhelmed and had stopped reading the recommendations directly (GP7)
“I was implementing my colleugues’ protocols. The Whatsapp group of doctors in Marseille, which included infectious disease specialists, was a great help”(GP20)
Table 2
Attitudes towards recommendations
Recommandations used (more than one answer allowed) | GPs | Percentage |
---|
Medical Press | 14% | 14% |
Ministry of Health (DGS) | 4 | 19% |
National Board of Physicians | 2 | 10% |
Infectious Diseases Department local hospital | 5 | 24% |
www.coronaclic.fr National Board of Family Medicine Website | 9 | 43% |
High Authority of Health (HAS) | 11 | 53% |
Number of recommendations used | | |
0 | 1 | 5% |
1 | 7 | 33% |
2 | 8 | 38% |
3 | 5 | 24% |
No. of doctors who have updated their practice to the recommendations | 18 | 86% |
If yes, please specify | |
Changes to prescribed treatments | 10 | 48% |
Use of antigenic tests | 4 | 19% |
Use of home monitoring by an IDE | 4 | 19% |
No. of doctors who discussed the recommendations with colleagues | 15 | 71% |
If yes, please specify | |
Group practice | 10 | 48% |
Social networks | 4 | 19% |
Peer group | 1 | 5% |
The sum is greater than 100% because the doctors (n = 21) were able to give more than one answer
Knowledge of clinical signs of COVID-19 and criteria for severe COVID-19 disease
(Table 3)
We noted that the clinical signs of COVID-19 specific to people over 80 years of age were poorly known by the GP interviewed, in particular repeated falls (n = 1), decompensation because of a previous pathology (n = 5), the onset of cognitive disorders (n = 6), and the onset of acute confusional state (n = 9).
Some criteria for severe COVID-19 disease were not well known by the participants, such as dehydration (n = 14 after proposal), disorders of consciousness, and sudden alteration in one’s general state. In contrast, more common criteria for severe COVID-19 such as polypnea, hypotension, and hypoxemia (known as happy hypoxemia in the case of COVID-19) were cited by all 21 GP.
“We pay close attention to oxygen saturation in the office itself even in our paucisymptomatic patients, in particular to eliminate happy hypoxia which has received a lot of media coverage” (GP18).
Table 3
Clinical signs suggestive of covid-19 (3A) and signs of severity (3B)
Clinical signs suggestive of Covid | (3A) | Number of positive responses | |
---|
N (%) | |
---|
| Acute respiratory infection with fever | 21 (100%) | |
General population | |
| Unexplained asthenia | 19 (91%) | |
| Unexplained myalgia | 18 (86%) | |
| Headaches outside of a known migraine pathology | 20 (95%) | |
| Anosmia or hyposmia without associated rhinitis, agueusia or dysgeusia. | 21 (100%) | |
Population > 80 years | |
| Altered general condition | 13 (62%) | |
| Repeated falls | 1 (5%) | |
| Onset or worsening of cognitive disorders | 6 (29%) | |
| Confusional syndrome | 9 (43%) | |
| Diarrhoea | 20 (95%) | |
| Decompensation of a previous pathology | 5 (24%) | |
Other signs | |
| Chest pain | 4(19%) | |
| Abdominal pain | 2(10%) | |
Severity criteria (3B) | Quoted spontaneously | Quoted on proposal | Not quoted |
---|
Polypnoea > 22/min (> 30 HAS) | 18 (86%) | 2 (10%) | 1 (5%) |
Sp02 < 95% 90 HAS in room air (in the absence of chronic respiratory disease) | 21 (100%) | 0 | 0 |
Systolic blood pressure < 100 mmHg (90 HAS or marbures) (in the absence of antihypertensive medication) | 14 (67%) | 6 (29%) | 1 (5%) |
Altered consciousness, confusion, drowsiness | 9 (43%) | 8 (38%) | 4 (19%) |
Dehydration | 7 (33%) | 7 (33%) | 7 (33,3%) |
Sudden change in general condition in the elderly. | 7 (33%) | 10 (48%) | 4 (19%) |
Biological signs of severity ? specify |
D-dimer > 0.5 (mg/L) | 2 (%) | | |
Organ failure (renal, liver, BNP) | 1 (5%) | | |
Hyperleukocytosis > 15 G/L | 1 (5%) | | |
Ionic disorders | 1 (5%) | | |
Knowledge of risk factors for severe COVID-19 (Table 4)
Some risk factors for severe COVID-19 were not well known in general. More specifically, only 9 GP spontaneously cited the existence of stage B cirrhosis, 8 pregnancy in the third trimester, 7 HIV, 8 organ transplantation or hematological malignancy (causes of immunosuppression), 11 drug immunosuppression, and 4 the date of symptom onset (despite this being essential information for follow-up).
Similarly, few GP mentioned recent travel or modes of transportation used (n = 6 after proposal) as risk factors. In contrast, all GP reported they knew that exposure to and the existence of vulnerable persons in the family circle were risk factors (n = 21 after proposal)
Table 4
knowledge of risk factors
Information sought during the interview with the patient | Spontaneously cited | Cited on proposal | Not cited |
---|
Date of onset of symptoms and their evolution | 4 (19%) | 17 (81%) | 0 |
Medical history, in particular risk factors associated with the development of severe Covid-19 disease |
Age ≥ 65 years | 13 (62%) | 8 (38%) | 0 |
Cardiovascular history: complicated hypertension, stroke, coronary artery disease, heart surgery | 19 (91%) | 2 (10%) | 0 |
Heart failure NYHA III or IV | 15 (71%) | 5 (24%) | 1 (5%) |
Chronic unbalanced diabetes or diabetes with complications | 15 (71%) | 4 (19%) | 2 (10%) |
Chronic respiratory disease likely to decompensate | 17 (81%) | 4 (19%) | 0 |
Chronic renal failure on dialysis | 15 (71%) | 4 (19%) | 2 (10%) |
Cancer under treatment (excluding hormone therapy) | 9 (43%) | 6 (29%) | 6 (29%) |
Immunosuppression: Medication | 11 (52%) | 9 (43%) | 1 (5%) |
Immunosuppression: Uncontrolled HIV infection or ADC < 200/mm3 | 7 (33%) | 5 (24%) | 9 (43%) |
Immunosuppression: Solid organ or haematopoietic stem cell transplantation | 8 (38%) | 5 (24%) | 8 (38%) |
Immunosuppression: Hematologic malignancy under treatment | 5 (24%) | 6 (29%) | 10 (48%) |
Cirrhosis ≥ stage B | 4 (19%) | 5 (24%) | 12 (57%) |
Obesity BMI > 30 | 13 (62%) | 5 (24%) | 3 (14%) |
Pregnancy from the 3rd trimester | 3 (14%) | 5 (24%) | 13 (61,9%) |
Search for possible exposure (exposed occupation) | 11 (53%) | 10 (48%) | 0 |
Public transport, possible travel | 0 | 2 (10%) | 19 (91%) |
Family circle, community life - look for frail people in the home. | 12 (57%) | 9 (43%) | 0 |
Recent trip if yes, specify | 0 | 6 (29%) | 15 (71%) |
Management of COVID-19 patients
Biological tests
In line with the HAS recommendations, all participants declared using PCR or antigenic tests to confirm their diagnoses (compliance rate = 100%).
Furthermore, in line with the HAS recommendations, biological check-ups were more likely to be prescribed in situations of diagnostic uncertainty (for CBC/platelets (n = 18), CRP/VS (n = 18), and liver (n = 13) and kidney (n = 13) D-dimers (n = 9) and BNPs (n = 4)) than prescribed routinely (CBC/platelets (n = 6), CRP/VS (n = 6), and ionograms (n = 5)).
“I did not prescribe additional biological tests for suspected COVID-19 patients; [I did so] only if I was not sure of my diagnosis in order to eliminate another diagnosis” (GP6).
Treatments and monitoring (Table 5)
The GP surveyed deviated from the recommendations on therapy and tended to overprescribe antibiotics, especially at the beginning of the pandemic. However, most reported they had adjusted their prescribing practices (n = 17) by significantly reducing how often they prescribed antibiotics (n = 8).
At the time of the study, the most prescribed treatment was paracetamol (n = 19), followed by antibiotics (n = 11), preventive anticoagulants (n = 8), vitamin D (n = 5), decongestants/antitussives (n = 4), and zinc (n = 3).
Few practitioners routinely instructed patients about self-monitoring of temperature (n = 10) or oxygen saturation (n = 4). Most recommended a subsequent consultation if the patient’s condition deteriorated (n = XX). Monitoring was prescribed for most at-risk populations only, especially the elderly. Specifically, systematic home-based monitoring by nurses was prescribed (n = 19) with instructions to hospitalise the patient if his/her health deteriorated.
“I prescribed daily visits by nurses to all my elderly patients (…) thanks to the home nursing rounds organised by Territorial Professional Health Community (CPTS)”( GP11)
Table 5
management of COVID-19 outpatients : treatment and monitoring
Treatments in place | Systematic | Yes, sometimes | Never |
---|
Paracetamol | 19 (91%) | 0 | 2 (10%) |
Macrolide antibiotic | 4 (19%) | 11 (52%) | 6 (29%) |
Preventive anticoagulation | 1 (10%) | 8 (38%) | 12 (57%) |
Vitamin D | 5 (24%) | 5 (24%) | 11 (52%) |
Zinc | 2 (10%) | 3 (14%) | 16 (76%) |
Decongestant/Cough suppressant | 2 (10%) | 4 (19%) | 15 (71%) |
Corticosteroids | 2 (10%) | 0 | 19 (91%) |
Changes in treatment in the last year | Yes | No | |
No. of doctors who changed their prescription | 17 (81%) | 4 (19%) | |
If yes, please specify | |
Less use of macrolide antibiotics | 9 (43%) | | |
Prescription of preventive anticoagulation | 4 (19%) | | |
Prescription of corticosteroid therapy | 1 (5%) | | |
Prescription NSAIDs | 1 (5%) | | |
Monitoring guidelines | Yes | No | |
Self-monitoring | |
Temperature self-monitoring | 11 (52%) | 10 (48%) | |
Self-monitoring pulse oximetry | 4 (19%) | 17 (81%) | |
Other instructions | |
Self-monitoring sheet | 2 (10%) | | |
Dyspnea monitoring/severity sign | 5 (24%) | | |
Chest pain | 5 (24%) | | |
Call 15/MT if worsening | 21 (100%) | 0 | |
Monitoring IDE | |
Enhanced monitoring by nurse when self-monitoring is not possible for people at risk of severe COVID-19 | 19 (91%) | 2(10%) | |
Monitoring through telemedicine | 14 (67%) | 7(33%) | |
Difficulties in the management of COVID-19 patients (Fig. 1A)
Participants were confused by the multitude of different sources of information on what to do.
“It’s often difficult to extract important information from the constant flow of messages coming from the Ministry of Health; it would be better to produce summary sheets on new developments rather than whole pages of illegible text” (GP3).
Respondents also reported difficulties establishing an effective GP-hospital link (i.e., obtaining a specialist opinion from a pneumologist, infectologist etc., organising follow-up, collaboration with emergency health services, etc.)
“The hospital organised post-discharge follow-up with telephone monitoring, but it’s a shame we weren’t involved. Most of the time I was not aware that my patients had been hospitalised and had then returned home” (GP7).
Some participants reported that certain patients were aggressive: “We’re the first line of contact for their discontent, with regard to the health crisis and the restrictive measures resulting from it” (GP6).
Finally, denial of the disease by some patients was also described as an obstacle to medical care.
“Some patients did not want to hear about the COVID-19 test; for them it was a bad cold; others trivialised the risk of having a severe form” (G20).
Suggested areas for improvement in the management of COVID-19 patients (Fig. 1B)
Most of the areas for improvement in the management of COVID-19 patients suggested by the interviewed GP reflected areas where they themselves had experienced problems in managing these patients. One example concerned therapy alliance; GP suggested providing patients with “easy access to scientific, clear and proven information” to improve this alliance, especially with the least convinced patients. They highlighted that accurate information for patients was often drowned out by a constant stream of misinformation disseminated by the media and various social networks.
A second area for improvement concerned GP-hospital links. Specifically, coordination through local care protocols was identified as a key element in facilitating access to new recommendations and to harmonize COVID-19 management practices.
“The local hospital provided us with a management algorithm that allowed us to refer our patients at risk of complications or to ask for advice on the type of monitoring to be put in place”. (GP12)
"Decision-making should be brought closer to the local level through the CPTS (territorial professional health community) in order to be able to best adapt to the situation, and not at the national level as has been the case since the beginning of the crisis”. (G19)