| Literature DB >> 26643196 |
Johan Lindström1, Lena Nordeman2, Bertil Hagström2,3.
Abstract
OBJECTIVE: To explore how C-reactive protein (CRP) tests serve to support physicians in decisions concerning antibiotic prescription to patients with respiratory tract infections (RTI).Entities:
Keywords: C-reactive protein; Sweden; antibacterial agents; drug prescriptions; general practice; point-of-care systems; primary health care; respiratory tract infections
Mesh:
Substances:
Year: 2015 PMID: 26643196 PMCID: PMC4750737 DOI: 10.3109/02813432.2015.1114348
Source DB: PubMed Journal: Scand J Prim Health Care ISSN: 0281-3432 Impact factor: 2.581
Number of patient visits to physicians in primary health care (n = 340).
| Physician’s educational status | |
| Specialist in family medicine (GP) | 194 (57) |
| Non-specialist GP: | 146 (43) |
| GP trainee/resident, family medicine | 67 (20) |
| Physician with medical licence | 40 (12) |
| Physician in clinical internship | 28 (8.2) |
| Graduated/non-licensed MD | 3 (0.9) |
| Other | 5 (1.5) |
| Unknown | 3 (0.9) |
Physicians with medical school examination but without licence.
Figure 1.Consultation process and decision-making in chronological order.aCase report form.
Figure 2.Participant flow.
Figure 3.Bland–Altman limits of agreement plot for CRP estimates and measured values.
Differences in C-reactive protein (CRP) estimations between visits to family medicine specialists (GP group) and physicians with other educational status (non-specialist GP group) in primary health care.
| Visits to GP group ( | Visits to non-specialist GP group ( | p-values | |
| CRP crucial for treatment, yes, | 65 (34) | 65 (45) | |
| Physician’s estimate of CRP (mg/L) | 24 (19) | 29 (26) | |
| Differences between estimated and measured CRP (mg/L) | −1.4 (29) | 2.1 (33) | 0.30 |
Notes:
Student’s t-test for comparison of quantitative data and chi-square test for qualitative data.
2.6% (n = 9) did not check the “yes” or “no” box on the case report form, four in the GP group, five in the non-specialist GP group.
Mean values (standard deviation).
Physician behaviour in light of their opinion on antibiotic prescription issues prior to C-reactive protein (CRP) testing, after viewing the actual CRP level.
| Antibiotics retracted[ | Decision unchanged[ | Antibiotics prescribed[ | ||
| Visits to GP group ( | 0.22 | |||
| CRP crucial for treatment | 2 (3.1) | 53 (82) | 10 (15) | |
| CRP unnecessary for treatment | 2 (1.6) | 113 (90) | 10 (8.0) | |
| Visits to non-specialist GP group ( | ||||
| CRP crucial for treatment | 9 (14) | 48 (74) | 8 (12) | |
| CRP unnecessary for treatment | 1 (1.3) | 68 (90) | 7 (9.2) | |
| Total visits ( | ||||
| CRP crucial for treatment | 11 (8.5) | 101 (78) | 18 (14) | |
| CRP unnecessary for treatment | 3 (1.5) | 181 (90) | 17 (8.5) |
“Antibiotics retracted” and “Antibiotics prescribed” means change in approach to prescribing antibiotics.
Chi-square test.
2.6% (n = 9) did not check the “yes” or “no” box on the case report form, four in the GP group, five in the non-specialist GP group.
Logistic regression analysis showing odds ratio for physician’s change in approach to prescribing antibiotics: Pre-CRP testing unwilling to prescribe antibiotics changing to prescribe antibiotics post-CRP testing and vice versa as dependent variable (1).
| Unadjusted odds ratio (CI 95%) | Adjusted odds ratio (CI 95%) | |||
| Sex (female 1) | 1.5 (0.81–2.7) | 0.21 | – | – |
| Educational status (GP 1) | 1.5 (0.81–2.7) | 0.20 | – | – |
| Differences between estimated and measured CRP (mg/L) | 1.02 (1.01–1.03) | 1.03 (1.01–1.04) | ||
| CRP crucial for treatment (yes 1) | 2.6 (1.4–4.8) | 2.9 (1.5–5.5) |
General practitioner specialist group (GP group) and the group that visited non-specialists (non-specialist GP group, including residents in family medicine).
Difference between estimated and measured CRP in absolute values.
Statistically significant p-values are in bold (p<0.05).