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Abstract Clinical decision support systems are software tools that help clinicians to make medical decisions. However, their acceptance by clinicians is usually rather low. A known problem is that they often require clinicians to manually enter a lot of patient data, which is long and tedious. Existing solutions, such as the automatic data extraction from electronic health record, are not fully satisfying, because of low data quality and availability. In practice, many systems still include long questionnaire for data entry. In this paper, we propose an original solution to simplify patient data entry, using an adaptive questionnaire, i.e. a questionnaire that evolves during user interaction, showing or hiding questions dynamically. Considering a rule-based decision support systems, we designed methods for determining the relationships between rules and translating the system’s clinical rules into display rules that determine the items to show in the questionnaire, and methods for determining the optimal order of priority among the items in the questionnaire. We applied this approach to a decision support system implementing STOPP/START v2, a guideline for managing polypharmacy. We show that it permits reducing by about two thirds the number of clinical conditions displayed in the questionnaire, both on clinical cases and real patient data. Presented to clinicians during focus group sessions, the adaptive questionnaire was found “pretty easy to use”. In the future, this approach could be applied to other guidelines, and adapted for data entry by patients.

Abstract Background Primary care has an important role in cardiovascular risk management (CVRM) and a minimum size of scale of primary care practices may be needed for efficient delivery of CVRM . We examined CVRM in patients with coronary heart disease (CHD) in primary care and explored the impact of practice size. Methods In an observational study in 8 countries we sampled CHD patients in primary care practices and collected data from electronic patient records. Practice samples were stratified according to practice size and urbanisation; patients were selected using coded diagnoses when available. CVRM was measured on the basis of internationally validated quality indicators. In the analyses practice size was defined in terms of number of patients registered of visiting the practice. We performed multilevel regression analyses controlling for patient age and sex. Results We included 181 practices (63% of the number targeted). Two countries included a convenience sample of practices. Data from 2960 CHD patients were available. Some countries used methods supplemental to coded diagnoses or other inclusion methods introducing potential inclusion bias. We found substantial variation on all CVRM indicators across practices and countries. We computed aggregated practice scores as percentage of patients with a positive outcome. Rates of risk factor recording varied from 55% for physical activity as the mean practice score across all practices (sd 32%) to 94% (sd 10%) for blood pressure. Rates for reaching treatment targets for systolic blood pressure, diastolic blood pressure and LDL cholesterol were 46% (sd 21%), 86% (sd 12%) and 48% (sd 22%) respectively. Rates for providing recommended cholesterol lowering and antiplatelet drugs were around 80%, and 70% received influenza vaccination. Practice size was not associated to indicator scores with one exception: in Slovenia larger practices performed better. Variation was more related to differences between practices than between countries. Conclusions CVRM measured by quality indicators showed wide variation within and between countries and possibly leaves room for improvement in all countries involved. Few associations of performance scores with practice size were found.

Abstract Background Clinical practice guidelines give recommendations about what to do in various medical situations, including therapeutical recommendations for drug prescription. An effective way to computerize these recommendations is to design critiquing decision support systems, i.e. systems that criticize the physician's prescription when it does not conform to the guidelines. These systems are commonly based on a list of "if conditions then criticism" rules. However, writing these rules from the guidelines is not a trivial task. The objective of this article is to propose methods that (1) simplify the implementation of guidelines' therapeutical recommendations in critiquing systems by automatically translating structured therapeutical recommendations into a list of "if conditions then criticize" rules, and (2) can generate an appropriate textual label to explain to the physician why his/her prescription is not recommended. Methods We worked on the therapeutic recommendations in five clinical practice guidelines concerning chronic diseases related to the management of cardiovascular risk. We evaluated the system using a test base of more than 2000 cases. Results Algorithms for automatically translating therapeutical recommendations into "if conditions then criticize" rules are presented. Eight generic recommendations are also proposed; they are guideline-independent, and can be used as default behaviour for handling various situations that are usually implicit in the guidelines, such as decreasing the dose of a poorly tolerated drug. Finally, we provide models and methods for generating a human-readable textual critique. The system was successfully evaluated on the test base. Conclusion We show that it is possible to criticize physicians' prescriptions starting from a structured clinical guideline, and to provide clear explanations. We are now planning a randomized clinical trial to evaluate the impact of the system on practices.

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.

This paper aims to identify challenges and opportunities related to the integration of social determinants of health (SDH) into primary healthcare at an international symposium in Orford, Quebec, Canada. A descriptive qualitative approach was conducted. Three focus groups on different topics were led by international facilitators. Two research team members took notes during the focus groups. All the material was analyzed using a thematic analysis according to an inductive method. Many challenges were identified, leading to the identification of potential opportunities: integrate the concept of SDH in all phases of the training curriculum for health professionals to foster interprofessional and intersectoral collaboration and sociocultural skills; organize healthcare for better outreach to vulnerable populations; organize local and regional committees to develop management frameworks to produce and use territory-specific data; develop dashboards for primary healthcare providers describing the composition of their territory's population; work collaboratively, rallying primary healthcare providers, community organization delegates, patient partners, citizens, and municipality representatives around common projects. Discussions prompted new directions for further primary healthcare research, among which are building on best practices in the literature and in the field, and engaging various stakeholders in research, including vulnerable populations, while focusing on patient experience., Competing Interests: The authors declare no conflict of interest.

No reference point-of-care, web-based medical compendium is available in general practice in France. We have then conducted the experimentation of EBMPracticeNet , a Belgian website of guidelines translated and adapted from the Finnish EBM Guidelines. We collected data from three sources: (i) the website logbook; (ii) a search-specific assessment questionnaire; (iii) a global assessment questionnaire. A cumulative number of 262 (62.8%) physicians performed at least one search on the website and clicked on average 5.9 times per month. Physicians globally got an accurate answer (74.2%). They found the information provided by the website reliable (92.2%) and useful for practice (78.6%). They perceived the website ergonomics as good. The main reported barriers were the time and effort required to find an accurate answer and the uneven relevance of the information retrieved. Improvements should focus on guidelines indexing and their adaptation to the French context, and training physicians to search medical databases.

Background: We sought to analyze gender differences in General Practitioners' (GP) preventive practices: variations according to the GP's and the patient's genders, separately and combined, and the homogeneity of GPs' practices according to gender., Methods: Fifty-two general practitioners volunteered to participate in a cross-sectional study. A sample of 70 patients (stratified by gender) aged 40-70 years was randomly chosen from each GP's patient panel. Information extracted from the medical files was used to describe the GPs' preventive practices for each patient: measurements of weight, waist circumference, glucose, and cholesterol; inquiry and counseling about smoking, alcohol consumption, diet, and physical activity, and dates of cervical smears and mammographies. An aggregate preventive score was calculated to assess the percentage of these practices performed by each GP for patients overall and by gender. Mixed models were used to test for gender differences., Results: Questionnaires were collected in 2008-2009 for 71% of the 3640 patients and analyzed in June 2017. Male patients and female GPs were associated with the most frequent performance of many types of preventive care. The aggregate preventive score was higher for male patients (OR = 1.60, 95% CI 1.47-1.75) and female GPs (OR = 1.35, 95% CI 1.05-1.73). There was no combined effect of the genders of the two protagonists. Female patients of male GPs appeared to receive preventive care least frequently and female GPs to deliver preventive care more consistently than their male colleagues., Conclusion: Physicians need to be aware of these differences, for both patient gender and their own.

Introduction: Clinical decision support systems (CDSS) implementing clinical practice guidelines (CPGs) have 2 main limitations: they target only patients for whom CPGs provide explicit recommendations, and their rationale may be difficult to understand. These 2 limitations result in poor CDSS adoption. We designed AntibioHelp® as a CDSS for antibiotic treatment. It displays the recommended and nonrecommended antibiotics, together with their properties, weighted by degree of importance as outlined in the CPGs. The aim of this study was to determine whether AntibioHelp® could increase the confidence of general practitioners (GPs) in CPG recommendations and help them to extrapolate guidelines to patients for whom CPGs provide no explicit recommendations., Materials and Methods: We carried out a 2-stage crossover study in which GPs responded to clinical cases using CPG recommendations either alone or with explanations displayed through AntibioHelp®. We compared error rates, confidence levels, and response times., Results: We included 64 GPs. When no explicit recommendation existed for a particular situation, AntibioHelp® significantly decreased the error rate (-41%, P value = 6x10-13), and significantly increased GP confidence (+8%, P value = .02). This CDSS was considered to be usable by GPs (SUS score = 64), despite a longer interaction time (+9-22 seconds). By contrast, AntibioHelp® had no significant effect if there was an explicit recommendation., Discussion/conclusion: The visualization of weighted antibiotic properties helps GPs to extrapolate recommendations to patients for whom CPGs provide no explicit recommendations. It also increases GP confidence in their prescriptions for these patients. Further evaluations are required to determine the impact of AntibioHelp® on antibiotic prescriptions in real clinical practice., (© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

The objective of this study was to compare the accumulation of unhealthy behaviors at the bottom of the social scale in men and women and, secondarily, to compare social and gender-based inequalities. Fifty-two general practitioners from the Paris area volunteered to participate. A sample of 70 patients (stratified by gender) aged 40-74 years was randomly chosen from each physician's patient panel and asked to complete a questionnaire about their social position and health behaviors: tobacco and alcohol use, unhealthy diet, and physical inactivity. Mixed Poisson models were used to describe, with relative risks (RRs) and relative inequality indexes (RIIs), the social inequalities in the accumulation of these four unhealthy behaviors. In 2008-2009, 71% of the 3640 patients returned their questionnaires. Men had an average of 1.59 of the 4 unhealthy behaviors we studied, and women 1.35 (RR = 1.18; 95% CI [1.11-1.25]). The mean number of unhealthy behaviors increased significantly for both genders from the top to the bottom of the social scale. The order of magnitude of RIIs was similar among men and women, ranging from 1.33 (occupational RII among women, 95% CI [1.11-1.60]) through 1.69 (financial RII among women, 95% CI [1.43-1.99]). None of the interaction tests between gender and social position was significant. The social inequalities had significantly wider amplitudes than those between genders for two of the three indicators of social position. The amplitude of social gradients related to unhealthy behaviors was similar between men and women and exceeded the gender inequality between them.

Background: Prevention is an essential task in primary care. According to primary care physicians (PCPs),lack of time is one of the principal obstacles to its performance., Objective: To assess the feasibility of prevention in terms of time by estimating the time necessary to perform all of the preventive care recommended, separately from the PCPs and patient's perspectives, and to compare them to the amount of time available., Methods: A review of the literature identified the prevention procedures recommended in France, the duration of each procedure and its recommended frequency, as well as PCPs' consultation time. A hypothetical patient panel size of 1000 patients, representative of the French population, served as the basis for our calculations of the annual time necessary for prevention for a PCP. The prevention time from the patient's perspective was estimated from data collected from a previous study of a panel of 3556 patients., Results: For PCPs, the annual time necessary for all of the required preventive care was 250 hours, or 20% of their total patient time. For a patient, the annual time required for prevention during encounters with a PCP ranged from 9.7 to 26.4 minutes per year. The mean total encounter time was 75.9 minutes per year. Nearly 73% of patients had a prevention-to-care time ratio exceeding 15%., Conclusion: Feasibility thus differs substantially between patients. These differences correspond especially to disparities in the annual care time used by each patient. Specific solutions should be developed according to the patients' utilization of care., (© The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

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: Recent medical guidelines for acute low back pain (aLBP) are unevenly followed. Based on financial criteria or associated with a desirability bias, studies incompletely describe the actual management provided by general practitioners (GPs) in terms of diagnosis, treatment and prevention of progression towards chronicity., Objective: To compare actual practices of French GPs for aLBP management with clinical guidelines., Methods: A young simulated patient (SP) consulted, using a single scenario of aLBP, in 30 primary care practices in the Paris region., Results: Heterogeneous data were collected according to the grid items: during the questioning, 29 GPs (97%) asked for age and 1 GP (3%) for pregnancy; during the clinical examination, 21 GPs (70%) asked for spinal stiffness and 3 GPs (10%) for cauda equina syndrome. Non-steroidal anti-inflammatory drugs were prescribed by 27 GPs (90%). Imaging (2 GPs or 7%) and physiotherapy (3 GPs or 10%) was rarely prescribed. A sick leave was prescribed by 22 GPs (73%). Twenty-seven GPs (90%) reassured the patient., Conclusion: aLBP management was in line with international guidelines in terms of clinical examination, physiotherapy and imaging prescriptions and some risk factors for chronicity were taken into account. However, patient questioning was brief, and drug and sick leave prescriptions did not meet international guidelines. The SP approach seems to be a useful tool for assessing actual GP practices., (© 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.)

Background: Data about tobacco and alcohol consumption are essential in many types of studies. These data can be obtained by directly questioning patients or by using the information collected from physicians. Agreement between these two sources varies according to the characteristics of patients but probably also those of physicians. The purpose of this study was to analyze the characteristics of general practitioners (GPs) associated with agreement between them and their patients about the patients' consumption of alcohol and tobacco., Methods: Data came from an observational survey among GPs who were internship supervisors in the Paris metropolitan area. Fifty-two volunteer GPs completed a self-administered questionnaire about the organization of their practice and their training. For each GP, a random sample of 70 patients, aged 40 to 74 years, answered questions about their personal tobacco and alcohol consumption. GPs simultaneously answered similar questions about each patient. We used a mixed logistic model to assess the association between physicians' characteristics and agreement for patients' smoking status and alcohol consumption., Results: Data were collected from both patient and physician for 2599 patients. The agreement between patients and their physicians was 60.4% for smoking status and 48.7% for alcohol consumption. Physicians with continuing medical education in management of smokers and those reporting specific skill in managing hypertension had the best agreement for smoking. Physicians who taught courses at the university medical school and those reporting specific skill in managing alcoholism had the best agreement for alcohol consumption., Conclusions: Agreement increases with physicians' training and skills in management of patients with tobacco and alcohol problems. It supports the importance of professional training for improving the quality of epidemiologic data in general practice. Researchers who use GPs as a source of information about patients' tobacco and alcohol consumption must assess the physicians' characteristics.

Clinical decision support systems (CDSSs) have the potential to increase guideline adherence, but factors of success are not yet understood. ASTI guiding mode (ASTI-GM) is an on-demand guideline-based CDSS where the user navigates in a knowledge base to get the best treatment for a given patient. We conducted a web-based evaluation of ASTI-GM, carried out as a before-after study, where general practitioners (GPs) were asked to solve 5 clinical cases, first without ASTI-GM, then using the system. Of the 136 GPs that resolved the case on the management of hypertension, compliance with best practices increased from 69.1% to 80.9% with ASTI-GM. When the navigation matched the set of patient parameters described in the clinical case, the increase was even higher and reached 92.9%. E-iatrogenesis has been measured at 19.1%, with 5.1% of commission errors, 8.1% of negative reactance, and 5.9% of neutral reactance. Role of physicians' reactance in noncompliance with guideline-based CDSSs should be further investigated.

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.

Computer-based decision support systems (CDSSs) are currently mostly reminder systems. However, the effectiveness of such systems to modify physician behavior is not always observed. We assume that this approach is appropriate when physicians think they know how to prescribe and consider they don't need to be helped, i.e. for simple clinical cases. On the opposite, on-demand approaches allowing for flexibility in the interpretation of patient conditions are more appropriate for more complex cases, e.g. in chronic disease management. ASTI is a CDSS operating in two modes, a critiquing mode working as a reminder-based system and a user-initiated guiding mode. Using a clinical case complexity score, a pre/post-intervention experiment with 10 GPs and 15 cases of hypertensive patients has been performed. Preliminary results tend to indicate that reminder-based interaction is appropriate for simple cases and that physicians are willing to use on-demand systems as clinical situations become complex, making both modes complementary.

Objectives: To develop a framework for general practice management made up of quality indicators shared by six European countries., Methods: Two-round postal Delphi questionnaire in the setting of general practice in Belgium, France, Germany, The Netherlands, Switzerland and the United Kingdom. Six national expert panels, each consisting of 10 members, primarily primary care practitioners and experts in the field of quality in primary care participated in the study. The main outcome measures were: (a) a European framework with indicators for the organization of primary care; and (b) ratings of the face validity of the usefulness of the indicators by expert panels in six countries., Results: Agreement was reached about a definition of practice management across five domains (infrastructure, staff, information, finance, and quality and safety), and a common set of indicators for the organization of general practice. The panellist response rate was 95%. Sixty-two indicators (37%) were rated face valid by all six panels. Examples include out of hours service, accessibility, the content of doctors' bags and staff involvement in quality improvement. No indicators were rated invalid by all six panels., Conclusions: It proved to be possible to develop a European set of indicators for assessing the quality of practice management, despite the differences in health care systems and cultures in the six different countries. These indicators will now be used in a quality assessment procedure of practice management in nine European countries. While organizational indicators are part of the new GMS contract in the UK, this research shows that many practice management issues within primary care are also of relevance in other European countries.