Parents' awareness and acceptance of HPV vaccination in Italy.

The aims of this study were to evaluate parents' awareness about HPV infection and vaccination and to identify reasons for not accepting vaccination and the type of health professionals involved in information campaigns. The study involved three schools. Overall, 1200 questionnaires were distributed to parents of female students born between 1993 and 2000 (age 12 to 19 years at the time of the study). The majority of students accepted to be vaccinated. Parents received information from different sources.

Predicting Healthcare-associated Infections: are Point of Prevalence Surveys data useful?

Introduction: Since 2012, the European Centre for Disease Prevention and Control (ECDC) promotes a point prevalence survey (PPS) of HAIs in European acute care hospitals. Through a retrospective analysis of 2012, 2015 and 2017 PPS of HAIs performed in a tertiary academic hospital in Italy, we developed a model to predict the risk of HAI. Methods: Following ECDC protocol we surveyed 1382 patients across three years. Bivariate logistic regression analyses were conducted to assess the relationship between HAI and several variables. Those statistically significant were included in a stepwise multiple regression model. The goodness of fit of the latter model was assessed with the Hosmer-Lemeshow test, ultimately constructing a probability curve to estimate the risk of developing HAIs. Results: Three variables resulted statistically significant in the stepwise logistic regression model: length of stay (OR 1.03; 95% CI: 1.02-1.05), devices breaking the skin (i.e. peripheral or central vascular catheter, OR 4.38; 95% CI: 1.52-12.63), urinary catheter (OR 4.71; 95% CI: 2.78-7.98). Conclusion: PPSs are a convenient and reliable source of data to develop HAIs prediction models. The differences found between our results and previously published studies suggest the need of developing hospital-specific databases and predictive models for HAIs.

Use of a fluorescent marker for assessing hospital bathroom cleanliness.

A fluorescent marker was used to assess the efficacy of daily cleaning in hospital en suite bathrooms. We applied the marker on 218 surfaces and we assigned a score according how completely the mark had been removed. We found significant statistical differences among different surfaces and wards (P < .05). Microbiologic contamination and marker removal score did not seem to be correlated. Differences in cleanliness may indicate discrepancies in cleaning procedures. Fluorescent marker proved to be a practical and effective method and it could be adopted as a first-level control system to assess hospital cleanliness.

Is it possible to sanitize athletes' shoes?

CONTEXT: Footwear should be designed to avoid trauma and injury to the skin of the feet that can favor bacterial and fungal infections. Procedures and substances for sanitizing the interior of shoes are uncommon but are important aspects of primary prevention against foot infections and unpleasant odor. OBJECTIVE: To evaluate the efficacy of a sanitizing technique for reducing bacterial and fungal contamination of footwear. DESIGN: Crossover study. SETTING: Mens Sana basketball team. PATIENTS OR OTHER PARTICIPANTS: Twenty-seven male athletes and 4 coaches (62 shoes). INTERVENTION(S): The experimental protocol required a first sample (swab), 1/shoe, at time 0 from inside the shoes of all athletes before the sanitizing technique began and a second sample at time 1, after about 4 weeks, April 2012 to May 2012, of daily use of the sanitizing technique. MAIN OUTCOME MEASURE(S): The differences before and after use of the sanitizing technique for total bacterial count at 36 °C and 22 °C for Staphylococcus spp, yeasts, molds, Enterococcus spp, Pseudomonas spp, Escherichia coli , and total coliform bacteria were evaluated. RESULTS: Before use of the sanitizing technique, the total bacterial counts at 36 °C and 22 °C and for Staphylococcus spp were greater by a factor of 5.8 (95% confidence interval [CI] = 3.42, 9.84), 5.84 (95% CI = 3.45, 9.78), and 4.78 (95% CI = 2.84, 8.03), respectively. All the other comparisons showed a reduction in microbial loads, whereas E coli and coliforms were no longer detected. No statistically significant decrease in yeasts (P = .0841) or molds (P = .6913) was recorded probably because of low contamination. CONCLUSIONS: The sanitizing technique significantly reduced the bacterial presence in athletes' shoes.

Which factors influence functional patients improvements during rehabilitation?

BACKGROUND: Rehabilitation in patients with disabilities is an important aspect of tertiary prevention. Severity of disability, evaluated by global measures of autonomy, are essential for functional outcome evaluation. AIM: To determine the effectiveness of a rehabilitation programme in terms of percentage functional improvement (PFI); to verify the role of gender, age and length of stay (LOS), by motor and cognitive domains, on PFI. DESIGN: longitudinal study. SETTING: An intensive rehabilitation hospital. POPULATION: 305 inpatients. METHODS: The disability has been investigated using the Functional Independence Measure (FIM). Percentage differences between discharge and admission were calculated for FIM score. Wilcoxon matched pair test for the six areas and the two domains of the FIM score were calculated. The effect of LOS, gender and age on PFI were studied with Robust regression. RESULTS: Neurological and Orthopaedic patients had improvements on Motor and Cognitive domains. The greatest gains were in the Self Care, Sphintere Control, Transfer and Locomotion Areas (p ≤ 0.001). LOS was associated (p < 0.001) with PFI while age resulted borderline significant (p=0.049) in the cognitive domain in Neurological patients. CONCLUSION: The rehabilitation improved the overall conditions of neurological and orthopaedic patients. LOS emerged as the most important determinant in PFI.

Environmental contaminants in hospital settings and progress in disinfecting techniques.

Medical devices, such as stethoscopes, and other objects found in hospital, such as computer keyboards and telephone handsets, may be reservoirs of bacteria for healthcare-associated infections. In this cross-over study involving an Italian teaching hospital we evaluated microbial contamination (total bacterial count (TBC) at 36°C/22°C, Staphylococcus spp., moulds, Enterococcus spp., Pseudomonas spp., E. coli, total coliform bacteria, Acinetobacter spp., and Clostridium difficile) of these devices before and after cleaning and differences in contamination between hospital units and between stethoscopes and keyboards plus handsets. We analysed 37 telephone handsets, 27 computer keyboards, and 35 stethoscopes, comparing their contamination in four hospital units. Wilcoxon signed-rank and Mann-Whitney tests were used. Before cleaning, many samples were positive for Staphylococcus spp. and coliforms. After cleaning, CFUs decreased to zero in most comparisons. The first aid unit had the highest and intensive care the lowest contamination (P < 0.01). Keyboards and handsets had higher TBC at 22°C (P = 0.046) and mould contamination (P = 0.002) than stethoscopes. Healthcare professionals should disinfect stethoscopes and other possible sources of bacterial healthcare-associated infections. The cleaning technique used was effective in reducing bacterial contamination. Units with high patient turnover, such as first aid, should practise stricter hygiene.