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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.

Clinical decision support systems (CDSSs) have the potential to increase guideline adherence, but factors of success are not well understood. ASTI-GM is an on demand guideline-based CDSS where the user interactively characterizes her patient by browsing the system knowledge base to obtain the recommended treatment. We conducted a web-based evaluation of ASTI-GM as a before-after study to assess whether the system improves general practitioners' (GPs) performance and how they would use it. Five clinical cases had to be solved, as usual in the before phase, and using ASTI-GM in the after phase. On a 2-month period, 266 GPs participated and 1,981 prescription orders were collected. The overall guideline adherence rate increased from 27.2% to 64.3%. Only 56.4% of ASTI-GM uses corresponded to a “good use” of the system. Adherence increased from 28.5% to 86.1% in the sub-group of “good uses”, whereas it only increased from 28.1% to 36.6% in the complementary sub-group. Reasons for non “good uses” of CDSSs should be investigated since they impede their potential impact. [ABSTRACT FROM AUTHOR]

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.

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.

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.

Polypharmacy in elderly is a public health problem with both clinical (increase of adverse drug events) and economic issues. One solution is medication review, a structured assessment of patients' drug orders by the pharmacist for optimizing the therapy. However, this task is tedious, cognitively complex and error-prone, and only a few clinical decision support systems have been proposed for supporting it. Existing systems are either rule-based systems implementing guidelines, or documentary systems presenting drug knowledge. In this paper, we present the ABiMed research project, and, through literature reviews and brainstorming, we identified five candidate innovations for a decision support system for medication review: patient data transfer from GP to pharmacists, use of semantic technologies, association of rule-based and documentary approaches, use of machine learning, and a two-way discussion between pharmacist and GP after the medication review.

The objective of our study was to investigate differences in the management of men and women treated for hypertension while considering the gender of their physicians. We used the data from the cross-sectional Paris Prevention in General Practice survey, where 59 randomly recruited general practitioners (42 men and 19 women) from the Paris metropolitan area enroled every patient aged 25-79 years taking antihypertensive medication and seen during a 2-week period (520 men and 666 women) in 2005-6. The presence in the medical files of six items recommended for hypertension management (blood pressure measurement, smoking status, cholesterol, creatinine, fasting blood glucose and electrocardiogram) was analysed with mixed models with random intercepts and adjusted for patient and physician characteristics. We found that the presence of all items was lower in the records of female than male patients (3.9 vs. 6.9%, p = 0.01), as was the percentage of items present (58.5 vs. 64.2%, p = 0.003). The latter gender difference was substantially more marked when the physician was a man (69.3 vs. 63.4%, p = 0.0002) rather than a woman (63.5 vs. 61.0%, p = 0.46). Although all guidelines recommend the same management for both genders, the practices of male physicians in hypertension management appear to differ according to patient gender although those of women doctors do not. Male physicians must be made aware of how their gender influences their practices., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited part of Springer Nature.)

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.

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

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.

The perinatal period is one of the most critical periods in the life cycle. The health of the mother and child are strongly and permanently influenced by events occurring during pregnancy, delivery or early infancy. In psychological terms, nearly 10% of women reported poor self-rated mental health during pregnancy. Moreover, sociodemographic characteristics indicative of social disadvantage are associated with a higher risk of poor self-rated mental health. 81.3% of these women did not consult a healthcare professional for psychological problems. The well-being project is designed to optimise the care of pregnant women with psychological or socioeconomic vulnerabilities and to assess the value of an early prenatal interview.

Background: A personalised, smoking cessation message was successfully delivered in Australian community pharmacies to motivate behavioural change in young smoking adults., Objective: The purpose of this pilot study was to test the acceptability and effectiveness of the innovative, proven smoking cessation intervention to another population of young adults with a higher prevalence of smoking and associated morbidities., Methods: Ninety eight university students in Paris, France were recruited to a pilot study (50 intervention: 48 control). All students received smoking cessation counselling sessions and half also received a visual demonstration of themselves, both as a lifelong smoker and non-smoker., Results: There was no statistical significant difference between the groups in smoking dependence at recruitment. At the three month follow-up, the proportion who had attempted to quit smoking were 37% (control) vs 46% (intervention). These percentages suggested a positive result for the intervention, although the difference was not statistically significant (p = 0.39)., Conclusion: This is one of the first studies conducted in France using visual demonstrations combined with healthcare counselling to promote smoking cessation amongst young adult smokers. Further research, recruiting from the general French public, is needed to better understand if the innovative personalised health message can motivate young French adult smokers to quit., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Despite the success of artificial intelligence solutions in the recent years, physicians are still reticent to use integrated functionalities to support their decision. Methods used to create these functionalities can be divided into two groups, each being associated to different questions. Data-based methods are seen as black boxes for which it is impossible to understand how the decision is taken; knowledge-based methods need to rely on formalized knowledge sources on the basis of evidence, which can be discussed and criticized by physicians for their use in real life. This paper presents a new modular decision support system for the prevention of cardiovascular diseases, based on knowledge and on cooperative decision between the patient and the physician. The decision support system is based on two layers: (i) the first layer is a knowledge-based module which generates automatically patient profile, and prevention strategies associated to the profile; (ii) the second layer is a dynamic collaborative graphic user interface which displayed information about the risks of treatment adherence failure, personalized motivation and follow-up strategies. In the future, we aim at assessing the platform in real life.

The prevention of cardiovascular diseases needs first to quantify the cardiovascular risk. To estimate this risk, French national health authorities provided clinical practice guidelines extending the existing European SCORE, which doesn't include all the cardiovascular risk factors (e.g. diabetes). Hence, French national clinical practice guidelines to quantify the cardiovascular risk is able to deal with more clinical situations than the SCORE. The goal of this paper is to formalize knowledge extracted from these guidelines and implement the rules so that they can be used into an auto-assessing tool of cardiovascular risk. Formalization followed five steps and was conducted under the guidance of medical experts. It resulted into a decision tree fed by eight decision variables. Evaluation of the accuracy of the decision tree showed 80% of agreement with an expert in medical informatics in predicting the cardiovascular risk level for 15 different clinical situations. Discrepancies correspond to the knowledge gaps within Clinical Practice Guidelines. We intend to extend the implementation of the decision tree to a complete tool, for allowing patient to auto-assess their cardiovascular risk. This tool will be integrated into a platform providing recommendations adapted to the calculated level of cardiovascular risk.