BackgroundBetween-country differences have been described in antibiotic prescribing for RTI in primary care, but not yet for diagnostic testing procedures and prescribing confidence.AimTo describe between-country differences in RTI management, particularly diagnostic testing and antibiotic prescribing, and investigate which factors relate to antibiotic prescribing and GPs’ prescribing confidence.Design & settingProspective audit in 18 European countries.MethodGPs registered patient-, clinical- and management characteristics, and confidence in their antibiotic prescribing decision for patients presenting with sore throat and/or lower RTI (n=4,982). Factors related to antibiotic prescribing and confidence were analysed using multi-level logistic regression.ResultsAntibiotic prescribing proportions varied considerably:<20% in four countries, and >40% in six countries. There was also considerable variation in POC testing (0% in Croatia, Moldova, Romania, and >65% in Denmark, Norway, mainly CRP and Strep A), and in lab/hospital-based testing (<3% in Hungary, Netherlands, Spain, and >30% in Croatia, Georgia, Greece, Moldova, mainly chest X-ray and white blood cell counting). Antibiotic prescribing was related to illness severity, comorbidity, age, fever and ‘country’, but not to having performed a POC test. In nearly 90% of consultations, GPs were confident in their antibiotic prescribing decision.ConclusionDespite high confidence in decisions about antibiotic prescribing, there is considerable variation in the primary care of RTI in European countries, with GPs prescribing antibiotics overall more often than is considered appropriate. POC testing may enhance the quality of antibiotic prescribing decisions if it can safely reverse decisions confidently made on clinical grounds alone to prescribe antibiotics.

ObjectiveTo the authors’ knowledge, there are few valid data that describe the prevalence of comorbidity in type 2 diabetes mellitus (T2DM) patients seen in family practice. This study aimed to investigate the prevalence of comorbidities and their association with elevated (≥ 7.0%) haemoglobin A1c (HbA1c) using a large sample of T2DM patients from primary care practices.DesignA cross-sectional study in which multivariate logistic regression was applied to explore the association of comorbidities with elevated HbA1c.SettingPrimary care practices in Croatia.SubjectsAltogether, 10 264 patients with diabetes in 449 practices.Main outcome measuresComorbidities and elevated HbA1c.ResultsIn total 7979 (77.7%) participants had comorbidity. The mean number of comorbidities was 1.6 (SD 1.28). Diseases of the circulatory system were the most common (7157, 69.7%), followed by endocrine and metabolic diseases (3093, 30.1%), and diseases of the musculoskeletal system and connective tissue (1437, 14.0%). After adjustment for age and sex, the number of comorbidities was significantly associated with HbA1c. The higher the number of comorbidities, the lower the HbA1c. The prevalence of physicians’ inertia was statistically significantly and negatively associated with the number of comorbidities (Mann–Whitney U test, Z = –12.34; p < 0.001; r = –0.12).ConclusionThere is a high prevalence of comorbidity among T2DM patients in primary care. A negative association of number of comorbidities and HbA1c is probably moderated by physicians’ inertia in treatment of T2DM strictly according to guidelines. Key pointsThere is a high prevalence of comorbidity among T2DM patients in primary care.Patients with breast cancer, obese patients, and those with dyslipidaemia and ischaemic heart disease were more likely to have increased HbA1c.The higher the number of comorbidities, the lower the HbA1c.

BackgroundMany patients with diabetes do not achieve target values. One of the reasons for this is clinical inertia. The correct explanation of clinical inertia requires a conjunction of patient with physician and health care system factors. Our aim was to determine the rate of clinical inertia in treating diabetes in primary care and association of patient, physician, and health care setting factors with clinical inertia.Material/MethodsThis was a national, multicenter, observational, cross-sectional study in primary care in Croatia. Each family physician (FP) provided professional data and collected clinical data on 15–25 type 2 diabetes (T2DM) patients. Clinical inertia was defined as a consultation in which treatment change based on glycated hemoglobin (HbA1c) levels was indicated but did not occur.ResultsA total of 449 FPs (response rate 89.8%) collected data on 10275 patients. Mean clinical inertia per FP was 55.6% (SD ±26.17) of consultations. All of the FPs were clinically inert with some patients, and 9% of the FPs were clinically inert with all patients. The main factors associated with clinical inertia were: higher percentage of HbA1c, oral anti-diabetic drug initiated by diabetologist, increased postprandial glycemia and total cholesterol, physical inactivity of patient, and administration of drugs other than oral antidiabetics.ConclusionsClinical inertia in treating patients with T2DM is a serious problem. Patients with worse glycemic control and those whose therapy was initiated by a diabetologist experience more clinical inertia. More research on causes of clinical inertia in treating patients with T2DM should be conducted to help achieve more effective diabetes control.

AimTo assess lifestyle habits and self-reported stress levels among type 2 diabetes mellitus (T2DM) patients and their association with hemoglobin A1c (HbA1c) in general practitioners' (GP) offices in Croatia.Methods449 GPs from all Croatian regions from 2008 to 2010 consecutively recruited up to 20-25 participants diagnosed with T2DM at least 3 years prior to the study, aged ≥40 years, and scheduled for diabetes control check-ups. The recruitment period lasted six months. Lifestyle habits and self-reported stress were assessed using the questionnaire from the Croatian Adult Health Survey.ResultsThe study included 10 285 patients with T2DM with mean (±standard deviation) age of 65.7 ± 10.05 years (48.1% men). Mean HbA1c level was 7.57 ± 1.58%. 79% of participants reported insufficient physical activity, 24% reported inappropriate dietary patterns, 56% reported current alcohol consumption, 19% were current smokers, and 85% reported at least medium level of stress. Multivariate analysis showed that having received advice to stop drinking alcohol, inadequate physical activity, consumption of milk and dairy products, adding extra salt, and high level of stress were significantly associated with increased HbA1c (P < 0.05).ConclusionPoor glycemic control was more frequent in patients who had several “unhealthy” lifestyle habits. These results suggest that diabetes patients in Croatia require more specific recommendations on diet, smoking cessation, exercise, and stress control.