New Approaches to Prevent Healthcare-Associated Infection.

Healthcare-associated infection (HCAI) in hospitals mainly results from unsolved but well-identified causes such as hand hygiene, overuse of catheters, and to a lesser extent, the airborne transmission of infectious agents caused by the misuse of respiratory precautions. The aims of the Institut Hospitalo-Universitaire Méditerranée Infection are to develop new approaches to fight HCAIs. Among them, new technologies that allow for the traceability of care and good practices reminders have been developed concomitantly to an anthropological approach, facilitating acceptability by healthcare workers. While the automated continuous monitoring system is validated and commercially available, some other technologies are still under clinical evaluation or in the early development phase. Quorum sensing-based biotechnologies are developed with the aims to fight against wound colonization.

Smartphone text message service to foster hand hygiene compliance in health care workers.

BACKGROUND: Health care-associated infections are a major worldwide public health issue. Hand hygiene is a major component in the prevention of pathogen transmission in hospitals, and hand hygiene adherence by health care workers is low in many studies. We report an intervention using text messages as reminders and feedback to improve hand hygiene adherence. MATERIALS AND METHODS: The study is a historical comparison proof-of-concept study. Eighteen health care workers were monitored during 12 months by a radiofrequency identification system. Afterward we sent 2 types of text messages, congratulation or encouragement, and we studied the evolution of hand hygiene adherence. RESULTS: We recorded 15,723 hand hygiene opportunities, 8,973 before intervention and 6,750 during and after the intervention. Using a multilevel logistic regression analysis, we found a significant increase in hand hygiene adherence during the intervention (odds ratio, 1.68) compared with the historical period. DISCUSSION: Despite limitations due to the type of study, a text message encouraging personnel to be more vigilant is effective in increasing hand hygiene adherence in health care workers. CONCLUSIONS: Text message feedback should be incorporated into multimodal approaches for improving hand hygiene compliance.

Enhancing the evaluation of pathogen transmission risk in a hospital by merging hand-hygiene compliance and contact data: a proof-of-concept study.

BACKGROUND: Hand-hygiene compliance and contacts of health-care workers largely determine the potential paths of pathogen transmission in hospital wards. We explored how the combination of data collected by two automated infrastructures based on wearable sensors and recording (1) use of hydro-alcoholic solution and (2) contacts of health-care workers provide an enhanced view of the risk of transmission events in the ward. METHODS: We perform a proof-of-concept observational study. Detailed data on contact patterns and hand-hygiene compliance of health-care workers were collected by wearable sensors over 12 days in an infectious disease unit of a hospital in Marseilles, France. RESULTS: 10,837 contact events among 10 doctors, 4 nurses, 4 nurses' aids and 4 housekeeping staff were recorded during the study. Most contacts took place among medical doctors. Aggregate contact durations were highly heterogeneous and the resulting contact network was highly structured. 510 visits of health-care workers to patients' rooms were recorded, with a low rate of hand-hygiene compliance. Both data sets were used to construct histories and statistics of contacts informed by the use of hydro-alcoholic solution, or lack thereof, of the involved health-care workers. CONCLUSIONS: Hand-hygiene compliance data strongly enrich the information concerning contacts among health-care workers, by assigning a 'safe' or 'at-risk' value to each contact. The global contact network can thus be divided into 'at-risk' and 'safe' contact networks. The combined data could be of high relevance for outbreak investigation and to inform data-driven models of nosocomial disease spread.