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Introduction: PRICOV-19 is a European cross-sectional study based on an online questionnaire, describing the impact of the pandemic on primary care structures (PCS). In France, PCS are solo practices (SP), single or multi-professional group practices (GP), coordinated practice structures (CPS): health houses and health centers. Triage, whether it is digital (TD), by telephone (TT) or at the reception (TR), is essential to reduce the risk of infection, and is part of recommended organizational practices., Purpose of Research: Based on French data from the PRICOV-19 study, the objective is to describe the frequency and factors associated with triage in PCSs during the COVID 19 pandemic., Results: 1100 structures responded to the survey. The TD was implemented in 64% of PCSs (53.3% of SPs, 64.9% of GPs, 73.2% of CPSs). The TT was implemented in 76% of structures (72.7% of SPs, 75.4% of GPs and 81% of CPSs). Finally, TR was implemented in 52% of structures (37.7% of SPs, 52% of GPs and 67% of CPSs). The other positively associated factors are the urban territory and the lower workload for the TD, and the presence of a receptionist for the TR., Conclusions: Triage practices seem to be clearly associated with the organization and working conditions in the PCSs, and first and foremost with the type of structure.

Background: Seasonal influenza vaccination coverage levels remain too low in many countries., Objectives: This study aimed to evaluate the impact of a reminder letter from their general practitioner (GP) on patients' influenza vaccination., Methods: Eligible patients for this controlled non-randomised study were the vulnerable categories targeted by the 2019-2020 national health insurance fund (NHIF) vaccination campaign, on the lists of 14 GPs from three practices in Paris (France) and unvaccinated on January 2, 2020 (mid-campaign). The choice of practices and assigning five GPs to the intervention arm were made for convenience. At mid-campaign, GPs in the intervention arm sent a standardised letter reminding each eligible patient to be vaccinated. In the control arm, GPs worked as usual. The intervention effect, calculated from the NHIF databases, was estimated by the difference between the groups in their vaccination coverage at the end of the campaign, with a linear mixed model adjusted for age, sex, chronic disease (at the patient level) and medical practice (at the GP level)., Results: The vaccination coverage at the end of the campaign was 14.7% in the intervention group ( n  = 317) and 1.7% in the control group ( n  = 493): a difference of 13.1% points (95% confidence interval [9.0-17.2], number needed to send 7.7). At the campaign's end, vaccination coverage among patients from the lists of GPs in the intervention arm was 62.7%, and 46.2% among patients from the control-arm GP lists., Conclusion: Reminder letters could help increase influenza vaccination coverage.

Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Background: To determine appropriate management for individual patients, GPs are supposed to use their knowledge of the patient's socio-economic circumstances., Objective: To analyse factors associated with GPs' knowledge of these circumstances., Methods: Observational survey of GPs who were internship supervisors in the Paris metropolitan area. Each of 52 volunteer GPs completed a self-administered questionnaire about their own characteristics and randomly selected 70 patients from their patient list. Their knowledge was analysed as the agreement between the patients' and GPs' responses to questions about the patients' socio-economic characteristics in questionnaires completed by both groups. The association between agreement and the GPs' characteristics was analysed with a multilevel model adjusted for age, sex and the duration of the GP-patient relationship., Results: Agreement varied according to the socio-economic characteristics considered (from 51% to 90%) and between GPs. Globally, the GPs overestimated their patients' socio-economic level. GP characteristics associated with better agreement were sex (female), long consultations, the use of paper records or an automatic reminder system and participation in continuing medical education and in meetings to discuss difficult cases., Conclusion: Knowledge of some patient characteristics, such as their complementary health insurance coverage or perceived financial situation, should be improved because their overestimation may lead to care that is too expensive and thus result in the patients' abandonment of the treatment. Besides determining ways to help GPs to organize their work more effectively, it is important to study methods to help doctors identify their patients' social-economic circumstances more accurately in daily practice., (© The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Despite recommendations against systematic screening for prostate cancer, 70% of patients still request prostate-specific antigen testing., Aim: To assess the impact of a decision aid on patients' intention to undergo prostate cancer screening., Design and Setting: Randomised controlled trial with two-arm parallel groups in 86 general practices in urban and rural areas in France., Method: Males aged 50-75 years were randomised to receive either the decision aid (intervention group) or usual care (control group). The primary outcome was the proportion of patients' intending to undergo prostate cancer screening, assessed immediately after reading the decision aid. The reasons underlying their choice were elicited and the proportion of patients citing each reason to undergo, or not undergo, prostate cancer screening were compared between the two arms., Results: A total of 1170 patients were randomised (588 in the intervention arm) from November 2012 to February 2013. The proportion of patients who intended to be tested for prostate cancer in the intervention arm (123 patients [20.9%]) was significantly reduced compared with the control arm (57 patients [9.8%]) (difference 11.1%, 95% confidence interval [CI] = 7.0 to 15.2, P<0.0001). In the intervention group, a lower proportion of individuals expressed that cancer screening would protect them from the disease, compared with the control group (P<0.0001), while a greater proportion of individuals stated that prostate cancer screening would not benefit their health (P<0.0001) and may involve procedures with harmful side effects (P = 0.0005)., Conclusion: The decision aid improved participants' informed decision making and reduced their intent to undergo prostate cancer screening., (© British Journal of General Practice 2015.)

Recently, National agencies in charge of the development of clinical practice guidelines (CPGs) have started to improve the usual narrative CPGs to provide guidance for different clinical pathways. In France, in conjunction with the development of the type 2 diabetes National CPGs, we have developed the system RecosDoc-Diabète which allows to interactively build a patient-centred pathway and get the appropriate recommendations. National narrative CPGs and RecosDoc-Diabète were published and made available online at the same time (February 2013). A questionnaire was provided to collect visitors' judgement about the system. Between February 12th and December 31st, 2013, 55,203 visitors accessed the narrative CPGs whereas 10,565 accessed the system. Among them, 186 (2%) responded to the questionnaire. One third of the comments were criticisms towards the CPG content. The system was globally positively evaluated although assessments were mixed illustrating that users' needs may be contradictory.

By providing patient-specific advice, clinical decision support systems (CDSSs) are expected to promote the implementation of clinical practice guidelines (CPGs) to improve the quality of care. However, produced as texts, often incomplete and ambiguous, CPGs are difficult to translate into the formal knowledge bases (KBs) of CDSSs. The French National Authority for Health (HAS) decided to update CPGs on the management of type 2 diabetes. This work illustrates the simultaneous development of the text and its formal counterpart in a CDSS named RecosDiab. CPGs were elaborated by a working group according to the guideline development methodology. Textual recommendations were graded, either as evidence-based when evidence existed or as consensus-based when acknowledge by the working group. Knowledge modeling was performed following the steps of de-abstraction, disambiguation, and verification of completeness. This last step generated clinical situations not explicitly mentioned in the text and were graded as expert-based. The resulting KB provides therapeutic advice for 805 clinical situations, among which 2 are graded as evidence-based, 37 are consensus-based, and 766 are expert-based. However, because of the amount of expert-based propositions, the HAS did not endorse the system.

Practicing physicians have limited time for consulting medical knowledge and records. We have previously shown that using icons instead of text to present drug monographs may allow contraindications and adverse effects to be identified more rapidly and more accurately. These findings were based on the use of an iconic language designed for drug knowledge, providing icons for many medical concepts, including diseases, antecedents, drug classes and tests. In this paper, we describe a new project aimed at extending this iconic language, and exploring the possible applications of these icons in medicine. Based on evaluators' comments, focus groups of physicians and opinions of academic, industrial and associative partners, we propose iconic applications related to patient records, for example summarizing patient conditions, searching for specific clinical documents and helping to code structured data. Other applications involve the presentation of clinical practice guidelines and improving the interface of medical search engines. These new applications could use the same iconic language that was designed for drug knowledge, with a few additional items that respect the logic of the language.

Building clinical decision support systems requires a formalization of clinical practice guidelines (CPGs) including the verification of completeness to ensure all medically relevant situations are addressed. Recommendations that rely on completed knowledge cannot be but expert-based. Using French hypertension management guidelines, we characterized the status of a patient profile as evidence-based (EB), consensus-based (CB), or expert-based (XB). The distribution of these status on the formal patient profiles of ASTIGM knowledge base showed that 12.6% (0.5% EB and 12.1% CB) lead to explicit CPG recommendations. The same analysis on a sample of 435 actual patients medical records showed that 55% were covered by CPGs. The characterization of guideline-based CDSSs should be based on empirical data estimated from the target population of CPGs.

Clinical Decision Support Systems (DSS) help improve health care quality. They usually incorporate an Execution Engine (EE), defined for each disease. We have designed, and present here, a generic execution engine, coupled with guideline-based disease specific rules stored in knowledge base (KB) as part of the prescription-critiquing mode of the ASTI project. This system was designed using two national guidelines for type 2 diabetes and hypertension. It takes into account the patient's clinical data, the tolerance and effectiveness of previous and current treatments and the physician's prescription made at the time. The functioning of the system has been speeded up and its maintenance made easier by indexing the KB rules according to the type of treatment they are linked to (e.g. monotherapy, etc.) and by classifying them into four categories. The EE's design formalizes generic therapeutic algorithms, leading to treatment options for cases of bad tolerance or insufficient effectiveness of the current treatment. Its applicability to other diseases was shown by applying it to dyslipidemia.

Because of specific features of his practice (comprehensive access to different social classes, provision of care for the whole set of diseases, length of follow up) general practitioner is in a privileged position to give evidence and can act against social inequalities in health. Understand and measure the effects of social characteristics on patients health is the first action to be done because the clinical description and the natural history of these inequalities are in fact very roughly known. The general practitioner can further act by learning how to concentrate his work to increase quality of care among male patients in workers and clerical or service staff categories, ensuring that needs are met as far as possible. Initiation of this work is the task of teaching practitioners and health care networks and provide a subject for primary care research. As a general rule, differences between social groups for the frequency or the prognosis of a given disease will be associated with, all together, accumulation of 'classical' risk factors for the considered disease, inequalities in care uptake partially due to a socially patterned access to the specialists, and an element of residual vulnerability, non explained by the previous two, which is the matter for an active research at the present time.