Oral Care Needs Amongst Disadvantaged Migrants in France.

BACKGROUND: Disadvantaged migrant populations face risk factors that can affect their oral health amongst other health issues. The purpose of this study was to explore the oral care needs of these populations and to identify the obstacles they might encounter in accessing dental care. METHODS: A cross-sectional study using secondary data was carried out in the Centre Médical Louis Guilloux in Rennes, France, a health centre offering dental consults to migrants. The data were obtained by clinical oral examination and analysed according to various criteria: reason for consultation, diagnosis, treatment plan, drug prescriptions, and referrals to other practitioners. RESULTS: A high prevalence of decay was observed amongst the patients (72.3%). Fifty-nine patients were identified as needing major oral health care amongst the 130 files that were analysed. The lack of proficiency in the host country's language was associated with a major need for oral care (P < .02). CONCLUSIONS: This study highlights that disadvantaged migrants face important oral care needs in France. It suggests alternative actions that should be carried out to improve their access to dental care, including access to interpreting.

How do non-geneticist physicians deal with genetic tests? A qualitative analysis.

Genetic testing is accepted to be a common practice in many medical specialties. These genetic tests raise issues such as respect for basic rights, how to handle results and uncertainty and how to balance concerns for medical confidentiality with the rights of third parties. Physicians need help to deal with the rapid development of genomic medicine as most of them have received no specific training on the medical, ethical, and social issues involved. Analyzing how these professionals integrate genetic testing into the patient-provider relationship is essential to paving the way for a better use of genomics by all. We conducted a qualitative study comprising a series of focus groups with 21 neurologists and endocrinologists about their genetic testing practices in the western part of France. The interviews were transcribed and analyzed for major themes. We identified an automated care management procedure of genetic testing that affects patient autonomy. The simple fact of having a written consent cannot justify a genetic test given the stakes associated with the results. We also suggest orienting practices toward a systemic approach using a multidisciplinary team or network to provide resources for dealing with uncertainties in interpreting results or situations that require additional technical or clinical skills and, if necessary, to allow for joint consultations with both a geneticist and a non-geneticist medical specialist.

Surgical site infection after trans urethral resection of the prostate (TURP): 2008-2013 French national SSI surveillance ISO-RAISIN.

OBJECTIVE: To describe surgical site infection (SSI) after transurethral resection of prostate (TURP) from the French national database. METHODS: A national SSI surveillance system was implemented in 1999. Each year, the network included urology departments that included at least two months plus one month follow-up, or at least 100 consecutive targeted surgical procedures. A dataset of patients who underwent urology procedures during the six-year period 2008-2013 was made available. SSI diagnosis was made according to standardised CDC criteria. Descriptive analyses were performed using SAS software version 9.4. RESULTS: A total of 12,897 TURPs were performed by 89 urology departments. The crude incidence SSI rate was 2.43 (95% confidence interval = 2.16-2.79). The mean delay for diagnosis was 11.9 ± 8.9 days. The treatment of the SSI required a new surgical intervention in 1.35%. In the multilevel multivariate analysis, ASA score and duration of follow-up were the only parameters correlated with the SSI rate. CONCLUSIONS: On more than 12,000 TURPs surveyed, the SSI rate was 2.43. ASA score and duration of follow-up were the only parameters correlated with the SSI rate.

Improving prediction of surgical site infection risk with multilevel modeling.

BACKGROUND: Surgical site infection (SSI) surveillance is a key factor in the elaboration of strategies to reduce SSI occurrence and in providing surgeons with appropriate data feedback (risk indicators, clinical prediction rule). AIM: To improve the predictive performance of an individual-based SSI risk model by considering a multilevel hierarchical structure. PATIENTS AND METHODS: Data were collected anonymously by the French SSI active surveillance system in 2011. An SSI diagnosis was made by the surgical teams and infection control practitioners following standardized criteria. A random 20% sample comprising 151 hospitals, 502 wards and 62280 patients was used. Three-level (patient, ward, hospital) hierarchical logistic regression models were initially performed. Parameters were estimated using the simulation-based Markov Chain Monte Carlo procedure. RESULTS: A total of 623 SSI were diagnosed (1%). The hospital level was discarded from the analysis as it did not contribute to variability of SSI occurrence (p  = 0.32). Established individual risk factors (patient history, surgical procedure and hospitalization characteristics) were identified. A significant heterogeneity in SSI occurrence between wards was found (median odds ratio [MOR] 3.59, 95% credibility interval [CI] 3.03 to 4.33) after adjusting for patient-level variables. The effects of the follow-up duration varied between wards (p<10-9), with an increased heterogeneity when follow-up was <15 days (MOR 6.92, 95% CI 5.31 to 9.07]). The final two-level model significantly improved the discriminative accuracy compared to the single level reference model (p<10-9), with an area under the ROC curve of 0.84. CONCLUSION: This study sheds new light on the respective contribution of patient-, ward- and hospital-levels to SSI occurrence and demonstrates the significant impact of the ward level over and above risk factors present at patient level (i.e., independently from patient case-mix).

Full-text automated detection of surgical site infections secondary to neurosurgery in Rennes, France.

The surveillance of Surgical Site Infections (SSI) contributes to the management of risk in French hospitals. Manual identification of infections is costly, time-consuming and limits the promotion of preventive procedures by the dedicated teams. The introduction of alternative methods using automated detection strategies is promising to improve this surveillance. The present study describes an automated detection strategy for SSI in neurosurgery, based on textual analysis of medical reports stored in a clinical data warehouse. The method consists firstly, of enrichment and concept extraction from full-text reports using NOMINDEX, and secondly, text similarity measurement using a vector space model. The text detection was compared to the conventional strategy based on self-declaration and to the automated detection using the diagnosis-related group database. The text-mining approach showed the best detection accuracy, with recall and precision equal to 92% and 40% respectively, and confirmed the interest of reusing full-text medical reports to perform automated detection of SSI.

[Nosocomial infection control in France: a socio-historical approach]. / Approche socio-historique de la lutte contre les infections nosocomiales en France.

This article argues that the emergence of nosocomial infections as a public health issue is the result of specific socio-cultural processes. An analysis of the French periodical Revue d'Hygiène et de Médecine Sociale over the period 1953-1988 and of the discourse of national actors in the fight against hospital-acquired infections demonstrates that the recognition of nosocomial infections as a public health issue occurred almost independently of objective criteria related to frequency or severity. It is suggested that professional and societal factors provide a better explanation of the emergence of nosocomial infections as a public health issue. Nosocomial infections essentially rescued ?Hygiene', a discipline threatened by the reorganization of the university-hospital system following the 1958 reform. Having entered hospitals, hygienists have had to compete with microbiologists also involved in a subject that has attracted an increasing number of actors from a range of fields. Beyond the development of a public health issue, a battlefield of symbolic fights is thus emerging.

Antibiotic use in 530 French hospitals: results from a surveillance network at hospital and ward levels in 2007.

OBJECTIVES: Antibiotic use in French hospitals is among the highest in Europe. A study was carried out to describe antibiotic consumption for inpatients at hospital and at ward levels. METHODS: Data were voluntarily collected retrospectively by 530 hospitals accounting for approximately 40 million patient-days (PD) on the following: antibacterials for systemic use [J01 class of the WHO Anatomical Therapeutic Chemical (ATC) classification, defined daily doses (DDD) system, 2007], rifampicin and oral imidazole derivatives, expressed in number of DDD and number of PD in 2007. Consumption was expressed in DDD/1000 PD. RESULTS: Median antibiotic use ranged from 60 DDD/1000 PD in long-term care (LTC) and psychiatric hospitals to 633 DDD/1000 PD in teaching hospitals. Penicillins and beta-lactamase inhibitors combinations were the most frequently used antibiotics, accounting for 26% of total use in cancer hospitals to 40% in LTC/psychiatric hospitals. Glycopeptides and carbapenems were mostly used in cancer and teaching hospitals. Level of consumption and pattern of use differed according to clinical ward from 60 DDD/1000 PD in psychiatric wards up to 1466 DDD/1000 PD in intensive care units (ICUs). In medicine, surgery, ICU and rehabilitation wards, fluoroquinolones accounted for 13%-19% of the total use. CONCLUSIONS: This multicentre survey provided detailed information on antibiotic use in a large sample of hospitals and wards, allowing relevant comparisons and benchmarking. Analysis of consumption at the ward level should help hospitals to target practice audits to improve antibiotic use.