Screening and care for alcohol use disorder in France: expectations, barriers and levers using a mixed-methods approach.

BACKGROUND: The widespread under-screening and under-treatment of alcohol use disorder (AUD) contributes to its health and socioeconomic burden. We conducted a mixed-methods (qualitative and qualitative) study in people with alcohol use disorder (PWAUD) to explore their expectations, as well as barriers and levers to AUD care. METHODS: Individuals with AUDIT > 15 (N = 179) were interviewed using computer-assisted interviews in several medical and non-medical sites (e.g., bars) (quantitative substudy). We also conducted semi-structured face-to-face interviews with 36 PWAUD (qualitative substudy). Using logistic regression, we explored factors associated with having previously received/sought care for AUD. Three major themes were identified in the qualitative textual analysis using a descending hierarchical classification. RESULTS: Not socializing with heavy drinkers (AOR [95%CI]:3.84[1.66-8.85]), regular smoking (9.72[3.91-24.15]) and feeling discriminated against (2.35[1.10-5.05]) were independent levers to having sought/received care for AUD, while being aged < 50 and employment were independent barriers. The five predominant themes in PWAUD discourses emerging from the textual analysis were: drinking context, medical care, alcohol treatment, tobacco/addiction and family. When triangulating results from the logistic regression and the textual analysis, two barriers (social drinking and difficulties with the medical care system), and two levers (family influence and tobacco addiction), emerged. CONCLUSION: These results underline the need for interventions targeting families and the social network to increase awareness about AUD and related care. Simplified and novel comprehensive care trajectories are urgently needed to reduce the clinical and public health burden of AUD.

From Foodborne Disease Outbreak (FBDO) to Investigation: The Plant Toxin Trap, Brittany, France, 2018.

On 6 July 2018, the Center for Epidemiology and Public Health of the French Armed Forces was informed of an outbreak of acute gastroenteritis among customers of a dining facility at a military base in Brittany, France. A total of 200 patients were reported out of a population of 1700 (attack rate: 12%). The symptoms were mainly lower digestive tract disorders and occurred rapidly after lunch on 5 July (median incubation period: 3.3 h), suggesting a toxin-like pathogenic process. A case-control survey was carried out (92 cases and 113 controls). Statistical analysis pointed to the chili con carne served at lunch on 5 July as the very likely source of poisoning. Phytohaemagglutinin, a plant lectin, was found in the chili con carne at a concentration above the potentially toxic dose (400 HAU/gram). The raw kidney beans incorporated in the chili con carne presented a high haemagglutination activity (66,667 HAU/gram). They were undercooked, and the phytohaemagglutinin was not completely destroyed. FBDOs due to PHA are poorly documented. This study highlights the need to develop methods for routine testing of plant toxins in food matrices. Improved diagnostic capabilities would likely lead to better documentation, epidemiology, and prevention of food-borne illnesses caused by plant toxins.

Automated segmentation of microtomography imaging of Egyptian mummies.

Propagation Phase Contrast Synchrotron Microtomography (PPC-SRµCT) is the gold standard for non-invasive and non-destructive access to internal structures of archaeological remains. In this analysis, the virtual specimen needs to be segmented to separate different parts or materials, a process that normally requires considerable human effort. In the Automated SEgmentation of Microtomography Imaging (ASEMI) project, we developed a tool to automatically segment these volumetric images, using manually segmented samples to tune and train a machine learning model. For a set of four specimens of ancient Egyptian animal mummies we achieve an overall accuracy of 94-98% when compared with manually segmented slices, approaching the results of off-the-shelf commercial software using deep learning (97-99%) at much lower complexity. A qualitative analysis of the segmented output shows that our results are close in terms of usability to those from deep learning, justifying the use of these techniques.

Access to care for people with alcohol use disorder in France: a mixed-method cross-sectional study protocol (ASIA).

INTRODUCTION: Alcohol use disorder (AUD) is a major public health concern worldwide. In France, only 10% of people with AUD (PWAUD) receive medical care. General practitioners (GP) are one of the main entry points for AUD care. The present ongoing study, entitled ASIA (Access to Care and Indifference toward Alcohol, Accès aux Soins et Indifference à l'Alcool in French), aims to improve knowledge about factors associated with access to care for AUD by exploring related GP and PWAUD practices, experiences and perceptions. METHODS AND ANALYSIS: The ASIA project is an ongoing cross-sectional multisite study based on a complementary mixed-method approach (quantitative and qualitative) using a convergent parallel design. The double-perspective design of the study will enable us to collect and compare data regarding both PWAUD and GP points of view. For the PWAUD quantitative study, 260 PWAUD will be interviewed using a telephone-based questionnaire. For the qualitative study, 36 PWAUD have already been interviewed. The GP quantitative study will include 100 GP in a 15 min survey. Fifteen GP have already participated in semistructured interviews for the qualitative study. Logistic regression will be used to identify predictors for access to care. With respect to data analyses, qualitative interviews will be analysed using semantic analysis while quantitative logistic regression will be used for quantitative interviews. ETHICS AND DISSEMINATION: This study was approved by the CNIL (French National Commission on Informatics and Liberties) (approval reference number: C16-10, date of approval: 17 July 2017), the CCTIRS (Advisory Committee on Information Processing in Material Research in the Field of Health) and the CEEI (Evaluation and Ethics Committee) (approval reference number: 16-312, date of approval: 8 July 2016) of INSERM (French National Institute of Health and Medical Research). Results from ASIA will be disseminated in peer-reviewed publications, conference presentations, reports and in a PhD thesis.