Biomedical subjects

Barbara Michiels

Publications and source records attributed to Barbara Michiels.

5 recordsLinked to original sources

PubMed2006

The effect of giving influenza vaccination to general practitioners: a controlled trial [NCT00221676].

BACKGROUND: No efficacy studies of influenza vaccination given to GPs have yet been published. Therefore, our purpose was to assess the effect of an inactivated influenza vaccine given to GPs on the rate of clinical respiratory tract infections (RTIs) and proven influenza cases (influenza positive nose and throat swabs and a 4-fold titre rise), while adjusting for important covariates. METHODS: In a controlled trial during two consecutive winter periods (2002-2003 and 2003-2004) we compared (77 and 100) vaccinated with (45 and 40) unvaccinated GPs working in Flanders, Belgium. Influenza antibodies were measured immediately prior to and 3-5 weeks after vaccination, as well as after the influenza epidemic. During the influenza epidemic, GPs had to record their contact with influenza cases and their own RTI symptoms every day. If they became ill, the GPs had to take nose and throat swabs during the first 4 days. We performed a multivariate regression analysis for covariates using Generalized Estimating Equations. RESULTS: One half of the GPs (vaccinated or not) developed an RTI during the 2 influenza epidemics. During the two influenza periods, 8.6% of the vaccinated and 14.7% of the unvaccinated GPs had positive swabs for influenza (RR: 0.59; 95%CI: 0.28 - 1.24). Multivariate analysis revealed that influenza vaccination prevented RTIs and swab-positive influenza only among young GPs (ORadj: 0.35; 95%CI: 0.13 - 0.96 and 0.1; 0.01 - 0.75 respectively for 30-year-old GPs). Independent of vaccination, a low basic antibody titre against influenza (ORadj 0.57; 95%CI: 0.37 - 0.89) and the presence of influenza cases in the family (ORadj 9.24; 95%CI: 2.91 - 29) were highly predictive of an episode of swab-positive influenza. CONCLUSION: Influenza vaccination was shown to protect against proven influenza among young GPs. GPs, vaccinated or not, who are very vulnerable to influenza are those who have a low basic immunity against influenza and, in particular, those who have family members who develop influenza.

Belgium↗

PubMed2006

Serum antibodies against circulating influenza strains among vaccinated and unvaccinated general practitioners during two consecutive years (2002-2003).

Efficacy studies have not answered the question whether influenza vaccination among general practitioners (GPs) has a substantial additive effect on their immunity. To evaluate this effect the influenza antibody titres in vaccinated and unvaccinated GPs were compared in a controlled trial during two consecutive winter periods (2002-2003 and 2003-2004). The seroprotection rates against the circulating A/H3N2 influenza virus amount to 80% and 42% in the unvaccinated group in 2002 and 2003, respectively. In the vaccinated GPs the seroprotection rate increases from 91% to 96% in 2002 and from 70% to 83% in 2003 after vaccination. Besides vaccination, the (high) basic antibody titre before vaccination and working in a child and family preventive medicine unit were predicting a protective antibody level in GPs.

Antibodies, Viral↗

PubMed2006

Antibiotic prescribing for acute cough: the effect of perceived patient demand.

BACKGROUND: GPs decide whether or not to prescribe antibiotics for acute cough. Apart from clinical signs and symptoms, non-medical reasons influence this decision as well. AIM: To obtain a valid estimate of the effect of perceived patient demand. DESIGN OF STUDY: Secondary analysis of cluster randomised controlled trial data. SETTING: Eighty-five Flemish GPs. METHOD: GPs completed a preprinted form with medical as well as non-medical information and their prescription for 20 consecutive adult patients consulting with acute cough in the periods February to April 2000 and 2001. The effect of perceived patient demand on antibiotic prescribing was estimated by performing alternating logistic regression analysis. A hierarchical backwards elimination procedure, described by Kleinbaum, was used. RESULTS: Seventy-two GPs participated, including 1448 patients eligible for analysis; 500 (34.5%) were prescribed an antibiotic and, according to the GP, 218 (15.1%) asked for an antibiotic. In cases of perceived patient demand antibiotics were prescribed significantly more often (odds ratio [OR] = 4.64, 95% confidence interval [CI] = 2.96 to 7.26). In the final model (n = 819; OR = 4.60, 2.59 to 8.17); Hosmer-Lemeshow goodness-of-fit P = 0.72), the effect of perceived patient demand for an antibiotic depended on the outcome of the lung auscultation. When patient demand was perceived, antibiotics were prescribed significantly more often only in the case of a normal lung auscultation or in the case of only one abnormal auscultatory finding (adjusted OR = 20.83, 95% CI = 8.86 to 48.99; adjusted OR = 4.79; 95% CI = 2.16 to 10.60, respectively). CONCLUSIONS: Perceived patient demand has a significant, independent and clinically relevant effect on antibiotic prescribing for acute cough with negative findings on the lung auscultation. Practice guidelines and interventions to optimise antibiotic prescribing have to take this effect into account.

Acute Disease↗

PubMed2004

Optimizing antibiotic prescribing for acute cough in general practice: a cluster-randomized controlled trial.

OBJECTIVES: To assess the effect of a tailored professional intervention, including academic detailing, on antibiotic prescribing for acute cough. METHODS: In a cluster-randomized controlled before and after study 85 Flemish GPs included adult patients with acute cough consulting in the periods February-April 2000 and 2001. The intervention consisted of a clinical practice guideline for acute cough, an educational outreach visit and a postal reminder to support its implementation in January 2001. Antibiotic prescribing rates and patients' symptom resolution were the main outcome measures. RESULTS: Thirty-six of 42 GPs received the intervention and 35 of 43 GPs served as controls; 1503 patients were eligible for analysis. Only in the intervention group were patients less likely to receive antibiotics after the intervention [OR(adj) (95% CI)=0.56 (0.36-0.87)]. Prescribed antibiotics were also more in line with the guideline in the intervention group [1.90 (0.96-3.75)] and less expensive from the perspective of the National Sickness and Invalidity Insurance Institute [MD(adj) (95% CI)= Euro -6.89 [-11.77-(-2.02)]]. No significant differences were found between the groups for the time to symptom resolution. CONCLUSIONS: An (inter)actively delivered tailored intervention implementing a guideline for acute cough is successful in optimizing antibiotic prescribing without affecting patients' symptom resolution. Further research efforts should be devoted to cost-effectiveness studies of such interventions.

Acute Disease↗

PubMed2002

Antibiotics for coughing in general practice: a questionnaire study to quantify and condense the reasons for prescribing.

BACKGROUND: Antibiotics are being overprescribed in ambulant care, especially for respiratory tract infections (RTIs). Gaining insight into the actual reasons for prescribing remains important for the design of effective strategies to optimise antibiotic prescribing. We aimed to determine items of importance for the antibiotic prescribing decision and to make them operational for an intervention trial. METHODS: A postal questionnaire based upon focus group findings was sent to 316 Flemish general practitioners (GPs). On a verbal rating scale the GPs scored to what extent they consider the questionnaire items in decision making in case of suspected RTI in a coughing patient and how strongly the items support or counter antibiotic treatment. Factor analysis was used to condense the data. The relative importance of the yielded operational factors was assessed using Wilcoxon Matched Pairs test. RESULTS: 59.5% completed the study. Response group characteristics (mean age: 42.8 years; 65.9% men) approximated that of all Flemish GPs. Participants considered all the items included in the questionnaire: always the operational factor 'lung auscultation', often 'whether or not there is something unusual happening' - both medical reasons - and to a lesser extent 'non-medical reasons' (P < 0.001). Non-medical as well as medical reasons support antibiotic treatment, but non-medical reasons to a lesser extent (P < 0.001). CONCLUSION: This study quantified, condensed and confirmed the findings of previous focus group research. Practice guidelines and interventions to optimise antibiotic prescribing have to take non-medical reasons into account.

Adult↗