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Background: Variation in prescription of antibiotics in primary care can indicate poor clinical practice that contributes to the increase of resistant strains. General Practitioners (GPs), as a professional group, are expected to have a fairly homogeneous prescribing style. In this paper, we describe variation in prescribing style within and across groups of GPs from six countries. Methods: Cross-sectional study with the inclusion of 457 GPs and 6394 sore throat patients. We describe variation in prescribing antibiotics for sore throat patients across six countries and assess whether variation in “prescribing style” - understood as a subjective tendency to prescribe - has an important effect on variation in prescription of antibiotics by using the concept of prescribing style as a latent variable in a multivariable model. We report variation as a Median Odds Ratio (MOR) which is the transformation of the random effect variance onto an odds ratio; Thus, MOR = 1 means similar odds or strict homogeneity between GPs' prescribing style, while a MOR higher than 1 denotes heterogeneity in prescribing style. Results: In all countries some GPs always prescribed antibiotics to all their patients, while other GPs never did. After adjusting for patient and GP characteristics, prescribing style in the group of GPs from Russia was about three times more heterogeneous than the prescribing style in the group of GPs from Denmark - Median Odds Ratio (6.8, 95% CI 3.1;8.8) and (2.6, 95% CI 2.2;4.4) respectively. Conclusion: Prescribing style is an important source of variation in prescription of antibiotics within and across countries, even after adjusting for patient and GP characteristics. Interventions aimed at influencing the prescribing style of GPs must encompass context-specific actions at the policy-making level alongside GP-targeted interventions to enable GPs to react more objectively to the external demands that are in place when making the decision of prescribing antibiotics or not. [ABSTRACT FROM AUTHOR]

Background: Clinical coordination across care levels is a priority for health systems around the world, especially for those based on primary health care. The aim of this study is to analyse the degree of clinical information and clinical management coordination across healthcare levels in the Catalan national health system experienced by primary (PC) and secondary care (SC) doctors and explore the associated factors. Methods: Cross-sectional study based on an online survey using the self-administered questionnaire COORDENA-CAT. Data collection: October–December 2017. Study population: PC and SC (acute and long term) doctors of the Catalan national health system. Participation rate was 21%, with a sample of 3308 doctors. Outcome variables: cross-level clinical information coordination, clinical management coordination, and perception of cross-level coordination within the area. Explanatory variables: socio-demographic, employment characteristics, attitude towards job, type of area (according to type of hospital and management), interactional factors, organizational factors and knowledge of existing coordination mechanisms. Stratification variable: level of care. Descriptive and multivariate analysis by logistic regression. Results: The degree of clinical coordination experienced across levels of care was high for both PC and SC doctors, although PC doctors experienced greater exchange and use of information and SC doctors experienced greater consistency of care. However, only 32.13% of PC and 35.72% of SC doctors found that patient care was coordinated across care levels within their area. In both levels of care, knowing the doctors of the other level, working in an area where the same entity manages SC and majority of PC, and holding joint clinical case conferences were factors positively associated with perceiving high levels of clinical coordination. Other associated factors were specific to the care level, such as being informed of a patient's discharge from hospital for PC doctors, or trusting in the clinical skills of the other care level for SC doctors. Conclusions: Interactional and organizational factors are positively associated with perceiving high levels of clinical coordination. Introducing policies to enhance such factors can foster clinical coordination between different health care levels. The COORDENA questionnaire allows us to identify fields for improvement in clinical coordination. [ABSTRACT FROM AUTHOR]

Background: Process evaluation is recommended to improve the understanding of underlying mechanisms related to clinicians, patients, context and intervention delivery that may impact on trial or program results, feasibility and transferability to practice. The aim of this study was to assess the feasibility of the Prescribe Healthy Life (PVS from the Spanish "Prescribe Vida Saludable") implementation strategy for enhancing the adoption and implementation of an evidence-based health promotion intervention in primary health care. Methods: A descriptive study of 2-year implementation indicators for the PVS clinical intervention was conducted in four primary health care centers. A multifaceted collaborative modeling implementation strategy was developed to enhance the integration of a clinical intervention to promote healthy lifestyles into clinical practice. Process indicators were assessed for intervention reach, adoption, implementation, sustainability and their variability at center, practice, and patient levels. Results: Mean rates of adoption by means of active collaboration among the three main professional categories (family physicians, nurses and administrative personnel) were 75% in all centers. Just over half of the patients that attended (n = 11650; 51.9%) were reached in terms of having their lifestyle habits assessed, while more than a third (33.7%; n = 7433) and almost 10% (n = 2175) received advice or a printed prescription for at least one lifestyle change, respectively. Only 3.7% of the target population received a repeat prescription. These process indicators significantly (p < 0.001) varied by center, lifestyle habit and patient characteristics. Sustainability of intervention components changed thorough the implementation period within centers. Conclusions: The implementation strategy used showed moderate-to-good performance on process indicators related to adoption, reach, and implementation of the evidence-based healthy lifestyle promotion intervention in the context of routine primary care. Sources of heterogeneity and instability in these indicators may improve our understanding of factors required to attain adequate program adoption and implementation through improved implementation strategies. [ABSTRACT FROM AUTHOR]