| Literature DB >> 23763854 |
Dominique Somme, Arnaud Gautier, Stéphanie Pin, Aline Corvol.
Abstract
BACKGROUND: The literature has emphasized the role of general practitioners (GPs) in caring for Alzheimer's disease (AD) patients. Within the framework of the French national AD plan, an inquiry was undertaken to identify the clinical practices, difficulties and training needs of GPs managing this pathology.Entities:
Mesh:
Year: 2013 PMID: 23763854 PMCID: PMC3682915 DOI: 10.1186/1471-2296-14-81
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Representativeness of the sample: comparison of study-population values to national administrative databases
| | | | ||||
|---|---|---|---|---|---|---|
| 1,898 | 185 | 2,083 | 1058 | 68,313 | 61,359 | |
| Sex (%) | | | | | | |
| Male | 69.0 | 77.8 | 69.8 | 69.1 | 69.4 | 72.0 |
| Female | 31.0 | 22.2 | 30.2 | 30.9 | 30.6 | 28.0 |
| Age (%) | | | | | | |
| <40 years | 13.0 | 8.6 | 12.6 | 11.9 | 14.8 | 10.5 |
| 40–49 years | 29.2 | 28.1 | 29.1 | 29.8 | 30.3 | 28.5 |
| 50–59 years | 43.6 | 50.3 | 44.2 | 44.7 | 42.7 | 45.0 |
| >59 years | 14.2 | 13.0 | 14.0 | 13.6 | 12.2 | 15.9 |
| Practice regionc (%) | | | | | | |
| Île-de-France | 14.1 | 14.1 | 14.1 | 14.0 | 17.7 | 16.4 |
| Northwest | 17.1 | 18.4 | 17.2 | 17.8 | 18.3 | 18.6 |
| Northeast | 23.7 | 25.4 | 23.9 | 23.8 | 22.1 | 22.5 |
| Southeast | 30.6 | 24.3 | 30.0 | 30.1 | 26.7 | 27.2 |
| Southwest | 14.5 | 17.8 | 14.8 | 14.3 | 15.2 | 15.3 |
Values are expressed as percentages unless stated otherwise.
aADELI (Automatisation DEs Listes: Automation of the Lists) is a national database that records all practicing professionals who must register their education degrees with State authorities. Included herein are only the GPs declaring at least half of their professional activity in private practice during 2008.
bSNIR (Système National Inter-Régimes: National System between Reimbursement Regimens) is an information database, managed by the health-insurance organizations, that collects all the professionals whose private-practice activities earned a reimbursement during the previous year. The SNIR registry includes, in addition to doctors in private practice, full-time hospital staff physicians with private consultations in the hospital.
cLocations where the GPs exercised their profession were apportioned according to regional telephone codes.
Characteristics of general practitioners (GPs) interviewed: comparisons according to their Alzheimer’s disease (AD) patient load
| | | ||||
|---|---|---|---|---|---|
| 2083 | 1058 | 974 | 84 | | |
| Mean age | 50.6 | 50.7 | 50.9 | 47.7 | 0.0007 |
| Age >50 years | 53.9 | 54 | 55.1 | 40.5 | 0.010 |
| Male | 68.8 | 69.1 | 70.7 | 50.0 | <0.0001 |
| Type of office (alone vs group practice) | 48.0 | 47.7 | 47.2 | 54.2 | 0.217 |
| Total (vs. partial) fee reimbursement | 89.1 | 88.5 | 89.6 | 75.0 | <0.0001 |
| Role as an educator (medical students) | 20.4 | 20.1 | 20.6 | 14.3 | 0.164 |
| High patient load (>21 patients/day) | 59.8 | 59.6 | 62.1 | 31.3 | <0.0001 |
| Involved in educating the public | 33.6 | 33.1 | 33.4 | 29.8 | 0.500 |
| Alternative medicine techniques (used often or always) | 23.8 | 24.0 | 22.1 | 46.4 | <0.0001 |
| >10% of clientele underprivileged | 25.6 | 26.6 | 27 | 22.2 | 0.353 |
| Participation in a network | 38.9 | 38.8 | 39.6 | 28.6 | 0.046 |
| 5–7 days/week (vs. fewer days) in office | 58 | 57.7 | 59.4 | 37.8 | <0.0001 |
Values are expressed as percentages unless stated otherwise.
Logistic-regression multivariate analyses of the declared practices or difficulties according to general practitioners’ characteristics
| | ||||||||
|---|---|---|---|---|---|---|---|---|
| 925 | 925 | 925 | 925 | 925 | 925 | 925 | 925 | |
| Age >51 yr | 1.15 (0.78–1.72) | 0.61† (0.44–0.84) | 1.66† (1.15–2.39) | 1.49† (1.11–2.00) | 1.19 (0.89–1.59) | 0.95 (0.70–1.30) | 1.04 (0.78–1.38) | 0.93 (0.68–1.29) |
| Male | 0.75 (0.49–1.12) | 1.57* (1.09–2.26) | 0.66* (0.44–0.99) | 0.47‡ (0.34–0.64) | 1.43* (1.04–1.97) | 1.66† (1.20–2.29) | 0.92 (0.68–1.25) | 1.22 (0.86–1.75) |
| Type of practice (alone vs. group) | 0.97 (0.66–1.43) | 1.11 (0.81–1.53) | 0.77 (0.53–1.10) | 1.28 (0.96–1.70) | 1.10 (0.82–1.46) | 0.99 (0.73–1.34) | 1.14 (0.87–1.51) | 1.24 (0.90–1.70) |
| Total (vs. partial) fee reimbursement | 1.66 (0.82–3.38) | 1.31 (0.76–2.27) | 0.95 (0.53–1.70) | 0.91 (0.57–1.43) | 1.46 (0.91–2.34) | 1.24 (0.77–1.99) | 1.20 (0.77–1.87) | 0.88 (0.53–1.46) |
| Role as an educator (medical students) | 0.87 (0.54–1.39) | 1.29 (0.89–1.85) | 0.52† (0.35–0.78) | 0.99 (0.71–1.39) | 1.30 (0.93–1.81) | 0.80 (0.56–1.13) | 1.14 (0.82–1.59) | 0.92 (0.63–1.34) |
| High patient load (>21/day) | 0.83 (0.57–1.22) | 1.28 (0.92–1.77) | 1.51* (1.06–2.162) | 1.06 (0.80–1.42) | 1.01 (0.76–1.36) | 0.98 (0.72–1.32) | 1.30 (0.98–1.72) | 1.18 (0.85–1.63) |
| 5–7 days/wk (vs. fewer days) in office | 1.20 (0.81–1.79) | 1.08 (0.78–1.50) | 0.93 (0.65–1.35) | 0.85 (0.64–1.14) | 0.91 (0.68–1.21) | 1.19 (0.88–1.61) | 1.14 (0.86–1.51) | 1.12 (0.81–1.54) |
| Involved in educating the public | 0.91 (0.61–1.35) | 1.30 (0.94–1.78) | 1.22 (0.84–1.78) | 1.19 (0.89–1.59) | 1.70‡ (1.28–2.27) | 1.35 (0.99–1.83) | 1.08 (0.82–1.44) | 1.67† (1.22–2.28) |
| Alternative medicine techniques (often or always) | 0.73 (0.45–1.19) | 1.18 (0.82–1.70) | 1.34 (0.87–2.09) | 1.08 (0.78–1.50) | 0.89 (0.64–1.25) | 0.98 (0.69–1.40) | 1.04 (0.75–1.43) | 0.93 (0.64–1.35) |
| >10% of clientele underprivileged | 0.92 (0.62–1.40) | 1.00 (0.71–1.40) | 1.00 (0.68–1.48) | 0.92 (0.68–1.25) | 0.88 (0.65–1.20) | 0.85 (0.62–1.16) | 0.79 (0.59–1.06) | 1.03 (0.73–1.44) |
| Participating in a network | 0.99 (0.68–1.45) | 1.10 (0.81–1.50) | 0.91 (0.64–1.29) | 1.49† (1.13–1.96) | 1.52† (1.15–2.01) | 1.10 (0.82–1.48) | 1.12 (0.86–1.47) | 1.32 (0.98–1.80) |
| R2 Nagelkerke | 0.018 | 0.041 | 0.047 | 0.061 | 0.059 | 0.030 | 0.015 | 0.032 |
| Hosmer Lesmeshow test (sig.) | 0.121 | 0.757 | 0.533 | 0.275 | 0.745 | 0.668 | 0.139 | 0.999 |
*p < 0.05; †p < 0.01; ‡p < 0.001.
Values are expressed as odds ratios (95% CI), unless stated otherwise. Multivariate analyses used information from 925 GPs for whom no data were missing.
Logistic-regression multivariate analysesof feeling insufficiently trained (dependent variable) according to general practitioners’ characteristics
| Age >50 years | 0.72 | 0.52–1.00 | 0.053 |
| Female | 1.44 | 1.02–2.03 | 0.036 |
| Type of office (alone vs group practice) | 0.94 | 0.68–1.30 | 0.702 |
| Total (vs partial) fee reimbursement | 1.38 | 0.79–2.40 | 0.254 |
| Role as an educator (medical students) | 0.74 | 0.49–1.11 | 0.144 |
| High patient load (>21 patients/day) | 0.77 | 0.56–1.07 | 0.115 |
| 5–7 days/week (vs fewer days) in office | 0.98 | 0.70–1.36 | 0.894 |
| Involved in educating the public | 1.44 | 1.03–2.02 | 0.033 |
| Type of practice (individual or group) | 1.16 | 0.80–1.68 | 0.437 |
| >10% of clientele underprivileged | 1.09 | 0.78–1.53 | 0.617 |
| Participation in a network | 1.04 | 0.76–1.42 | 0.789 |
aMultivariate analysis was based on 925 GPs for whom no data were missing.
R2 Nagelkerke: 0.032; Hosmer-Lemeshow test : p = 0.339.