Is co-morbidity taken into account in the antibiotic management of elderly patients with acute bronchitis and COPD exacerbations?

BACKGROUND: Guidelines on acute lower respiratory tract infections recommend restrictive use of antibiotics, however, in patients with relevant co-morbid conditions treatment with antibiotics should be considered. Presently, it is unknown whether GPs adhere to these guidelines and target antibiotic treatment more often at patients with risk-elevating conditions. OBJECTIVES: We assessed whether in elderly primary care patients with acute bronchitis or exacerbations of chronic pulmonary disease (COPD), antibiotics are more often prescribed to patients with risk-elevating co-morbid conditions. METHODS: Using the Utrecht GP research database, we analysed 2643 episodes in patients of 65 years of age or older with a GP-diagnosed acute bronchitis or exacerbation of COPD. Multivariable logistic regression analysis was applied to determine independent determinants of antibiotic use. RESULTS: Antibiotic prescribing rates were high in both acute bronchitis (84%) and in exacerbations of COPD (53%). In acute bronchitis, only age was an independent determinant of antibiotic use [odds ratio (OR) 1.03, 95% confidence interval (CI) 1.003-1.048], whereas in exacerbations of COPD antibiotics were more often prescribed to male patients (OR 1.3, 95% CI 1.0-1.5), patients with diabetes (OR 1.7, 95% CI 1.1-2.4) and heart failure (OR 1.3, 95% CI 1.0-1.7). CONCLUSION: Dutch GPs prescribe antibiotics in the majority of elderly patients with acute bronchitis and in half of the episodes of exacerbations of COPD. Tailoring their antibiotic treatment according to the presence or absence of high-risk co-morbid conditions could help GPs in improving antibiotic use in patients with respiratory tract infections in primary care.     

Socially responsible antibiotic choices in primary care: a qualitative study of GPs' decisions to prescribe broad-spectrum and fluroquinolone antibiotics

BACKGROUND: There is considerable variation within and between countries in general medical practitioners' (GPs') prescribing of broad-spectrum antibiotics such as fluroquinolones, and resistance to these agents is increasing worldwide. Urgently promoting cautious fluroquinolone prescribing in primary care may limit increase in resistance. OBJECTIVE: We therefore interviewed 40 GPs in order to explore the reasons for their choice of prescribed antibiotic, in particular their decision to prescribe fluroquinolones. METHODS: We used a grounded theory approach to data collection and analysis, incorporating purposive and theoretical sampling, based on high and average fluroquinolone prescribing. Interviews were conducted with 26 GPs from practices known to be high prescribers of fluroquinolone antibiotics and 14 from average fluroquinolone prescribing practices. RESULTS: Chosing to prescribe a broad-spectrum antibiotic such as a fluroquinolone, rather than a narrow-spectrum antibiotic, related to a number of clinical considerations, perceptions of patient expectations and organizational influences. GPs from high fluroquinolone prescribing practices were more likely to prioritize patients' immediate needs, whereas GPs from average prescribing practices were more likely to consider longer term issues. GPs from both high and average fluroquinolone prescribing practices justified their antibiotic choices on the basis of a desire to do their best for their patients and society. CONCLUSION: Choosing to prescribe powerful, broad-spectrum antibiotics such as fluroquinolones, as well as choosing to keep these agents in reserve, was justified on the basis of social responsibility. Strategies to change fluroquinolone and broad-spectrum antibiotic prescribing will need to take into account clinicians' perceptions of social responsibility.     

Unexplained complaints in general practice: prevalence, patients' expectations, and professionals' test-ordering behavior.

OBJECTIVE: To gain insight into general practitioners' (GPs) test-ordering behavior for patients presenting with unexplained complaints. An unexplained complaint's symptoms are not alarming, and there is no plausible medical or psychosocial explanation for it. The Dutch College of General Practitioners (DCGP) recommends a watchful, waiting attitude for test ordering for unexplained complaints. METHODS: Observational, cross-sectional study of 567 doctor-patient consultations performed by 21 GPs. RESULTS: On average, 13% of consultations involved complaints considered unexplained by GPs. Unexplained complaints were positively related to test ordering (adjusted odds ratio [OR] = 2.4, 95% confidence interval [CI] 1.1-5.3), despite the DCGP's recommendation. Patients' expectations about testing influenced test ordering even more (adjusted OR = 4.1, 95% CI 2.2-7.6). DISCUSSION: Unexplained complaints happen daily in general practice. Besides the DCGP's recommendation, factors such as GPs' desire to understand complaints and patients' expectations seem to have impacts. Guideline development and quality improvement projects should respect, next to Bayesian rules, GP- and patient-related determinants of test ordering.     

Predictors of an antibiotic prescription by GPs for respiratory tract infections: a pilot

BACKGROUND: Antibiotics are over-prescribed for respiratory tract infections in Australia. OBJECTIVES: The aim of this study was to describe the clinical predictors of GPs' prescribing of antibiotics. METHODS: We used Clinical Judgment Analysis to study the responses of GPs to hypothetical paper-based vignettes of a 20-year-old with a respiratory tract infection. The nature of four symptoms and signs (colour of nasal mucous discharge; soreness of the throat; presence of fever; and whether any cough was productive of sputum) was varied and their effect on prescribing measured using logistic regression. RESULTS: Twenty GPs participated. The nature of each symptom and sign significantly predicted prescribing of an antibiotic. Cough productive of yellow sputum; presence of sore throat; fever; and coloured nasal mucus increased the probability of an antibiotic being prescribed. CONCLUSIONS: GPs are influenced by clinical signs and symptoms to use antibiotics for respiratory infections for which there is poor evidence of efficacy from the literature.     

Measles incidence estimations based on the notification by general practitioners were suboptimal

OBJECTIVE: The aim of this study was to determine the notification by general practitioners (GPs) to the Municipal Health Service (MHS) and the presentation of measles complaints by patients to the GP during a measles epidemic in a 78% vaccinated population. STUDY DESIGN AND SETTING: Measles cases in children under 13 years were identified via questionnaires, GPs' records, and MHS's records. Consultation rate, notification rate, and completeness of notification were determined. Determinants of consultation were identified by multivariable logistic regression analysis. RESULTS: Among 1654 responders, 164 measles cases were identified. Consultation rate: 30%; notification rate: 30% (range among GPs: 0-62%); completeness of notification: 9%. Determinants of GP consultation: perceived seriousness of illness (adjusted OR 45; 95% CI: 6-347), self-reported complications (adjusted OR 9; 95% CI: 1-70), and need to consult for respiratory tract infections (adjusted OR 8; 95% CI: 1-51). CONCLUSION: Incidence estimations based on the notification by GPs to the MHS are suboptimal for measles in The Netherlands. Perceived seriousness of illness seemed to be the most important factor to consult.     

Clinical management of urinary tract infection in women: a prospective cohort study

BACKGROUND: It is unclear how symptoms of urinary tract infection (UTI) influence clinical management in terms of diagnostic testing and treatment with antibiotics. OBJECTIVES: Our aim was to assess how 11 symptoms associated with UTI related to the probability of being tested (near patient test or urine culture) or treated with antibiotics by their GP, and to see if the same 11 symptoms were associated with (i) confirmed infection from urine culture and (ii) re-consultation complaining of the same symptoms within 1 month. METHODS: A prospective cohort study of 160 patients consulting their GP with symptoms of UTI in eight general practices in Avon, UK was carried out. Association between symptoms and the probability of being (i) tested by the near patient test, (ii) tested by urine culture or (iii) treated empirically with antibiotics were examined. The association between symptoms and the probability of being treated empirically or tested (near patient test or mid-stream urine) was examined. Likelihood ratios for symptoms and near patient test results compared with two 'gold standards' for diagnosis of UTI were calculated and their impact on post-test probability of UTI determined. RESULTS: GPs were far more likely to treat empirically patients with symptoms of dysuria and frequency [odds ratio (OR) 6.50, 95% confidence interval (CI) 2.02-20.89] or dysuria alone (OR 5.24, 95% CI 1.62-16.95). They were far less likely to perform diagnostic tests in patients with dysuria and frequency (OR for near patient testing 0.34, 95% CI 0.14-0.83; OR for urine culture 0.15, 95% CI 0.04-0.56). The prior probabilities of UTI were 25% (positive urine culture) and 29% (re-consultation within 1 month), respectively, for each of the 'gold standards' used. Individual symptoms and near patient tests did not raise the posterior probability of UTI irrespective of which 'gold standard' was used. The most useful symptom was a history of vomiting (likelihood ratio 2.96, 95% CI 0.3-31.2), but this occurred in only three patients. CONCLUSIONS: Current clinical practice results in a large proportion of patients receiving unnecessary antibiotic treatment. Individual symptoms of UTI are an inadequate guide on which to base diagnostic testing and antibiotic treatment decisions in primary care. Either this diagnostic inaccuracy should be acknowledged as an inevitable part of clinical practice or more accurate clinical prediction rules that incorporate symptoms, signs and near patient test results that are applicable in everyday clinical practice are required.     

Predictors of patient satisfaction

Correlates of patient satisfaction at varying points in time were assessed using a survey with 2-week and 3-month follow-up in a general medicine walk-in clinic, in USA. Five hundred adults presenting with a physical symptom, seen by one of 38 participating clinicians were surveyed and the following measurements were taken into account: patient symptom characteristics, symptom-related expectations, functional status (Medical Outcomes Study Short-Form Health Survey [SF-6]), mental disorders (PRIME-MD), symptom resolution, unmet expectations, satisfaction (RAND 9-item survey), visit costs and health utilization. Physician perception of difficulty (Difficult Doctor Patient Relationship Questionnaire), and Physician Belief Scale. Immediately after the visit, 260 (52%) patients were fully satisfied with their care, increasing to 59% at 2 weeks and 63% by 3 months. Patients older than 65 and those with better functional status were more likely to be satisfied. At all time points, the presence of unmet expectations markedly decreased satisfaction: immediately post-visit (OR: 0.14, 95% CI: 0.07-0.30), 2-week (OR: 0.07, 95% CI: 0.04-0.13) and 3-month (OR: 0.05, 95% CI: 0.03-0.09). Other independent variables predicting immediate after visit satisfaction included receiving an explanation of the likely cause as well as expected duration of the presenting symptom. At 2 weeks and 3 months, experiencing symptomatic improvement increased satisfaction while additional visits (actual or anticipated) for the same symptom decreased satisfaction. A lack of unmet expectations was a powerful predictor of satisfaction at all time-points. Immediately post-visit, other predictors of satisfaction reflected aspects of patient doctor communication (receiving an explanation of the symptom cause, likely duration, lack of unmet expectations), while 2-week and 3-month satisfaction reflected aspects of symptom outcome (symptom resolution, need for repeat visits, functional status). Patient satisfaction surveys need to carefully consider the sampling time frame as well as adjust for pertinent patient characteristics.