| Literature DB >> 33268433 |
Olivier Saint-Lary1,2,3, Sylvain Gautier4,5, Julien Le Breton6,7,8,9, Serge Gilberg3,10, Paul Frappé11, Matthieu Schuers12, Yann Bourgueil5, Vincent Renard3,6.
Abstract
OBJECTIVES: To describe how general practitioners (GPs) adapted their practices to secure and maintain access to care in the epidemic phase. A secondary objective was to explore if GPs' individual characteristics and type of practice determined their adaptation.Entities:
Keywords: general medicine (see internal medicine); health policy; primary care
Mesh:
Year: 2020 PMID: 33268433 PMCID: PMC7712933 DOI: 10.1136/bmjopen-2020-042119
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flow chart.
Figure 2Response rate by French administrative geographical area. GPs, general practitioners.
Characteristics of the survey respondents
| Parameter | n=5425 |
| Gender | |
| Female, n (%) | 2914 (53.7) |
| Male, n (%) | 2511 (46.3) |
| Age, mean age (SD) | 45.8 (12.2) |
| Type of practice | |
| Alone, n (%) | 1035 (19.1) |
| Mono-professional, n (%) | 2226 (41.0) |
| Multi-professional, n (%) | 2164 (39.9) |
| Type of multi-professional practice (among n=2 164) | |
| In multidisciplinary health house, n (%) | 1411 (65.2) |
| In health centres, n (%) | 269 (12.4) |
| Other, n (%) | 484 (22.4) |
| Secretariat*, n (%) | 4450 (82.0) |
| Physical, n | 3389 |
| By phone, n | 2017 |
| Online, n | 1231 |
| Unscheduled consultations, n (%) | 1383 (25.5) |
| Receptionist, n (%) | 1961 (36.1) |
| Region | |
| Auvergne-Rhône-Alpes, n (%) | 882 (16.5) |
| Bourgogne-Franche-Comté, n (%) | 306 (5.7) |
| Bretagne, n (%) | 274 (5.1) |
| Centre-Val de Loire, n (%) | 183 (3.4) |
| Corse, n (%) | 20 (0.4) |
| Grand Est, n (%) | 344 (6.4) |
| Hauts-de-France, n (%) | 467 (8.7) |
| Île-de-France, n (%) | 892 (16.6) |
| Normandie, n (%) | 259 (4.8) |
| Nouvelle-Aquitaine, n (%) | 558 (10.4) |
| Occitanie, n (%) | 432 (8.1) |
| Pays de la Loire, n (%) | 394 (7.3) |
| Provence-Alpes-Côte d’Azur, n (%) | 280 (5.2) |
| Regions of Outre-Mer, n (%) | 70 (1.3) |
*Secretariat means taking appointments and playing role of receptionist.
Personal protection equipment, organisational, hygiene and protective measures by type of practice
| N (%) | Alone | Mono-professional | Multi-professional | P value* |
| Personal protection equipment | ||||
| Protective masks (n=4699/5425) | 855 (82.6) | 1933 (86.8) | 1911 (88.3) | <0.001 |
| Protective glasses (n=1402/5425) | 312 (30.1) | 514 (23.1) | 576 (26.6) | <0.001 |
| Aprons (n=1148/5425) | 193 (18.6) | 415 (18.6) | 540 (25.0) | <0.001 |
| Forehead thermometer (n=4195/5425) | 774 (74.8) | 1721 (77.3) | 1700 (78.6) | 0.058 |
| Organisational changes | ||||
| Secretariat (n=4450/5425) | 597 (57.7) | 1873 (84.1) | 1980 (91.5) | <0.001 |
| Change on the secretariat (n=2649/4450) | 333 (55.8) | 1029 (54.9) | 1287 (65.0) | <0.001 |
| Unscheduled consultations (n=1383/5425) | 361 (34.9) | 489 (22.0) | 533 (24.6) | <0.001 |
| Cancellation (n=482/1383) | 125 (34.6) | 171 (35.0) | 186 (34.9) | 0.994 |
| Adaptation (n=521/901) | 125 (53.0) | 175 (55.0) | 221 (63.7) | 0.017 |
| Change the activity (n=3849/5425) | 706 (68.2) | 1529 (68.7) | 1614 (74.6) | <0.001 |
| Creation of a dedicated area for suspected patients waiting (n=2315/5425) | 299 (28.9) | 752 (33.8) | 1264 (58.4) | <0.001 |
| Increase remote consultation solutions (n=3605/5425) | 675 (65.2) | 1436 (64.5) | 1494 (69.0) | 0.004 |
| Hygiene and protective measures | ||||
| Mask for the receptionist (n=1418/1961) | 99 (78.0) | 532 (69.5) | 787 (73.6) | 0.053 |
| Hydroalcoholic solution for patients (n=2874/5425) | 424 (41.0) | 1120 (50.3) | 1330 (61.5) | <0.001 |
| Communication supports (slideshows, posters and so on) (n=4603/5425) | 769 (74.3) | 1910 (85.8) | 1924 (88.9) | <0.001 |
| Disinfection of reception areas (n=4308/5425) | 800 (77.3) | 1725 (77.5) | 1783 (82.4) | <0.001 |
| Mask all day (n=2951/4699) | 488 (57.1) | 1225 (63.4) | 1238 (64.8) | <0.001 |
| Hands disinfection between each patient (n=5322/5425) | 1007 (97.3) | 2189 (98.3) | 2126 (98.2) | 0.104 |
*Pearson’s Χ2 test.
(A) Increase of remote consultations and creation of a specific pathway by type of practice. (B) Communication channels for information and guidelines by type of practice
| N (%) | Alone | Mono-professional | Multi-professional |
| (A) | |||
| Increase of remote consultations | 675 (65.2) | 1436 (64.5) | 1494 (69.0) |
| More consultations by phone | 629 (60.8) | 1328 (59.7) | 1349 (62.3) |
| More consultations by email | 215 (20.8) | 400 (18.0) | 381 (17.6) |
| More teleconsultations | 194 (18.7) | 401 (18.0) | 510 (23.6) |
| Creation of a specific pathway | 240 (23.2) | 717 (32.3) | 1015 (46.9) |
| By introducing dedicated consultations | 190 (18.4) | 558 (25.1) | 768 (35.5) |
| By creating dedicated area for suspected patients waiting | 299 (28.9) | 752 (33.8) | 1264 (58.4) |
| By visiting suspected patients at their home | 40 (3.9) | 85 (3.8) | 128 (5.9) |
| By reorganising the tasks between professionals | 36 (3.5) | 217 (9.7) | 516 (23.8) |
| (B) | |||
| Ministry of Health | 865 (83.6) | 1937 (87.0) | 1916 (88.5) |
| Regional agency of health | 582 (56.2) | 1242 (55.8) | 1262 (58.3) |
| Professional order | 595 (57.5) | 1335 (60.0) | 1263 (58.4) |
| Regional professional union | 679 (65.6) | 1425 (64.0) | 1332 (61.6) |
| Professional association | 547 (52.9) | 1228 (55.2) | 1227 (56.7) |
| Other professional | 519 (50.1) | 1352 (60.7) | 1490 (68.9) |
Logistic regressions
| « Did you change your activity since the outbreak? » | |||||
| n | OR (95% CI) | P value | aOR (95% CI) | P value | |
| Age | 5424* | 0.99 (0.99 to 1.00) | 0.01 | 1.00 (0.99 to 1.00) | 0.170 |
| Gender | p=0.13 | ||||
| Male | 2511 | 1 | 1 | ||
| Female | 2914 | 1.10 (0.97 to 1.23) | 0.1 | 1.07 (0.94 to 1.21) | 0.307 |
| Type of practice | p<0.001 | ||||
| Alone | 1035 | 1 | 1 | ||
| Mono | 2226 | 1.02 (0.87 to 1.20) | 0.8 | 1.00 (0.85 to 1.17) | 0.953 |
| Multi | 2164 | 1.37 (1.16 to 1.61) | <0.001 | 1.32 (1.12 to 1.56) | 0.001 |
| « Did you increase your remote consultations since the outbreak? » | |||||
| n | OR (95% CI) | P value | aOR (95% CI) | P value | |
| Age | 5424† | 1.00 (0.99 to 1.00) | 0.05 | 1.00 (0.99 to 1.00) | 0.35 |
| Gender | p=0.018 | ||||
| Male | 2511 | 1 | 1 | ||
| Female | 2914 | 1.15 (1.03 to 1.29) | 0.02 | 1.13 (1.00 to 1.27) | 0.04 |
| Type of practice | p=0.004 | ||||
| Alone | 1035 | 1 | 1 | ||
| Mono | 2226 | 0.97 (0.83 to 1.13) | 0.69 | 0.95 (0.81 to 1.11) | 0.49 |
| Multi | 2164 | 1.19 (1.02 to 1.39) | 0.03 | 1.16 (0.98 to 1.36) | 0.08 |
| « Have you set up a specific pathway for COVID-19 patients? » | |||||
| n | OR (95% CI) | P value | aOR (95% CI) | P value | |
| Age | 5424‡ | 0.99 (0.99 to 0.99) | <0.001 | 1.00 (0.99 to 1.00) | 0.08 |
| Gender | p=0.66 | ||||
| Male | 2511 | 1 | 1 | ||
| Female | 2914 | 0.97 (0.87 to 1.09) | 0.6 | 0.92 (0.82 to 1.04) | 0.17 |
| Type of practice | p<0.001 | ||||
| Alone | 1035 | 1 | 1 | ||
| Mono | 2226 | 1.57 (1.33 to 1.87) | <0.001 | 1.54 (1.30 to 1.84) | <0.001 |
| Multi | 2164 | 2.93 (2.48 to 3.46) | <0.001 | 2.84 (2.40 to 3.38) | <0.001 |
*T-test: p=0.016.
†T-test: p=0.054.
‡T-test: p<0.001.
aOR, adjusted OR.