Abstract Antimicrobial resistance has become a public health priority worldwide. The WHO conducted a survey concerning the personal use of antibiotics, knowledge of appropriate use and awareness of ...the issue of resistance. A similar survey was conducted in Italy involving 666 young university students and 131 seniors attending courses of the University of the third age. Antibiotics seem to be taken with moderate frequency and appropriately: 30% of respondents took them in the past six months and 94% took these drugs only prescribed by a doctor, in the correct dose and for the proper duration. Notable confusion concerning the conditions treatable with antibiotics was detected (only 30% indicated gonorrhea, and 30–40% believed that antibiotics should be employed for fever, cold, and flu), while 94% of participants seemed aware of the problem of antibiotic resistance. Most of the respondents identified the behaviors that can reduce the phenomenon of resistance (regular handwashing and use of antibiotics only when prescribed and needed). The results of our survey, that involved people of high level of instruction and living in urban areas of northern regions, cannot be extended to all the Italian population. However, they provide valid elements to promote initiatives aimed to a more aware use of antibiotics.
The first case of Coronavirus Disease 2019 in Italy was detected on February the 20th in Lombardy region. Since that date, Lombardy has been the most affected Italian region by the epidemic, and its ...healthcare system underwent a severe overload during the outbreak. From a public health point of view, therefore, it is fundamental to provide healthcare services with tools that can reveal possible new health system stress periods with a certain time anticipation, which is the main aim of the present study. Moreover, the sequence of law decrees to face the epidemic and the large amount of news generated in the population feelings of anxiety and suspicion. Considering this whole complex context, it is easily understandable how people "overcrowded" social media with messages dealing with the pandemic, and emergency numbers were overwhelmed by the calls. Thus, in order to find potential predictors of possible new health system overloads, we analysed data both from Twitter and emergency services comparing them to the daily infected time series at a regional level. Particularly, we performed a wavelet analysis in the time-frequency plane, to finely discriminate over time the anticipation capability of the considered potential predictors. In addition, a cross-correlation analysis has been performed to find a synthetic indicator of the time delay between the predictor and the infected time series. Our results show that Twitter data are more related to social and political dynamics, while the emergency calls trends can be further evaluated as a powerful tool to potentially forecast new stress periods. Since we analysed aggregated regional data, and taking into account also the huge geographical heterogeneity of the epidemic spread, a future perspective would be to conduct the same analysis on a more local basis.
Italy records very alarming levels antimicrobial resistance (AMR), so a National Action Plan on Antimicrobial resistance (PNCAR) was developed, adopting the AMR European Union's recommendations based ...on the results of the ECDC site visit of January 2017. For achieving PNCAR objectives, it is necessary to support and harmonize the implementation of recommendations in all the different healthcare levels (regional authorities and local trusts), so the SPiNCAR project was launched to create a tool for reaching this goal.
We developed a framework based on a scientific literature and national and international guidelines. Firstly, we identified the major intervention areas for tackling AMR, then, for each area, we built a set of standards, both for regional authorities than for local trusts. Every standard is composed by a set of essential and additional criteria, which refer to a minimum or supplemental performance level respectively. The contents were firstly discussed by the project's team during face-to-face kick-off meetings, then confirmed with Delphi methodology and finally validated through a pilot study.
The final framework consists of seven different areas that reflect the PNCAR structure: Governance, Surveillance and Monitoring, Appropriate Use of antimicrobials, Healthcare-associated Infections (HAIs) control and prevention, Education and Training, Alliance among Stakeholders, Implementation. The total number of standards for the regional framework was 34 with 264 criteria and for the local version 36 criteria with 279 standards.
The ongoing use of this tool, developed on international evidences and recommendations that were tailored on the Italian specific context, allows monitoring the improvement achieved over time and plan the next steps.
Operating theatres are among the hospital’s most risky environments as far as infections are concerned. Surgical site infection is a serious complication of surgery, associated with increased ...morbidity, mortality and costs. The ambient air of the operating theatre represents an important vehicle of micro-organisms causing surgical site infection, in particular in clean operations. The aim of this paper is to give a brief historical excursus of the milestones of the prevention of airborne surgical site infections. The debated issue on the use of unidirectional airflow ventilation system is presented. Some national recommendations for threshold air microbial contamination values are reported, and the need for a European standard on air quality to provide a safe operating theatre environment for surgical patients is underlined.
The aim of the present study was to estimate the preventable proportion of Intubation-Associated Pneumonia (IAP) in the Intensive Care Units (ICUs) participating in the Italian Nosocomial Infections ...Surveillance in ICUs (SPIN-UTI) network, taking into account differences in intrinsic patients' risk factors, and additionally considering the compliance with the European bundle for IAP prevention.
A prospective patient-based survey was conducted and all patients staying in ICU for more than 2 days were enrolled in the surveillance. Compliance with the bundle was assessed using a questionnaire for each intubated patient. A twofold analysis by the parametric g-formula was used to compute the number of infections to be expected if the infection incidence in all ICUs could be reduced to that one of the top-tenth-percentile-ranked ICUs and to that one of the ICU with the highest compliance to all five bundle components.
A total of 1,840 patients and of 17 ICUs were included in the first analysis showing a preventable proportion of 44% of IAP. In a second analysis on a subset of data, considering compliance with the European bundle, a preventable proportion of 40% of IAP was shown. A significant negative trend of IAP incidences was observed with increasing number of bundle components performed (p<0.001) and a strong negative correlation between these two factors was shown (r = -0.882; p = 0.048).
The g-formula controlled for time-varying factors is a valuable approach for estimating the preventable proportion of IAP and the impact of interventions, based entirely on an observed population in a real-world setting. However, both the study design that cannot definitively prove a causative relationship between bundle compliance and IAP risk, and the small number of patients included in the care bundle compliance analysis, may represent limits of the study and further and larger studies should be conducted.
This paper outlines the characteristics of scientific leadership and the role of Scientific Associations with their specific activities. The recent activities of the Lombard Academy of Public Health ...are subsequently described, including the creation, in 2019, of the Academy of young leaders in public health. Comparing to other sectors, scientific leadership dynamics take into consideration different aspects. Besides awards (Nobel Prize or several other) and prestigious affiliations, eventual indicators might be academic roles, fundraising abilities, relevant positions among scientific associations, editors of prestigious journals or editorial series and, more recently, high bibliometric indicators. The peculiar topics of public health encompass interactions with institutions, authorities, politicians, involved in different levels in health policies. Recently, in Italy, the Ministry of Health has identified parameters to be accreditated as a scientific and technical association. The role of SItI (Italian Society of Hygiene), EUPHA, ASPHER, and WFPHA appears relevant in PH, in national and international contexts, with Italian praiseworthy members constantly achieving leading roles. Considering that few training opportunities aimed to improve research and leadership skills are available,
(ALSP) designed the AYLPH (Academy of Young Leaders in Public Health) program. AYLPH program is a 1-year training to shape leadership skills among young professionals. A set of didactic, theoretical and practical methods was offered and evaluated.
Abstract Background Health policy makers often have to face decisions on whether and how to incorporate new vaccines into immunisation plans. This study aims to review and catalogue the relevant ...current frameworks and taxonomies on vaccines and connect these to the DECIDE Evidence to Decision framework (EtD), a general framework based on evidence-based criteria to guide decision-making on intervention adoption. Methods We systematically searched MEDLINE, EMBASE, Cochrane Library and funding agency websites from 1990 to 2013. We included systematic reviews and primary studies presenting decision-making tools for community vaccine adoption. We qualitatively summarised the reports by purpose, targeted country, principal results, and decisional models. We then extracted and compared the dimensions adopted by vaccine frameworks across studies. Results Fourteen studies (five systematic reviews and nine primary studies) were included. Several factors frequently influenced decision-makers’ views on vaccines: the most frequent political-context factors considered were Importance of illness or problem, Vaccine characteristics, Resource use , and Feasibility . Others such as Values and preferences and Acceptability were less consistently reported. We did not find evidence on the reasons why a framework for vaccine adoption differs from that for decisions on the adoption of an intervention in general, such as the EtD. There are limited data on how dimensions are explained in practical factors and directly linked to coverage decisions. Conclusions This review summarises conceptual models and taxonomy of a heterogeneous and evolving area in health policy decisions. A shared and comprehensive framework on vaccine coverage remains to be achieved with its single dimensions (epidemiologic, effectiveness, economic, and social) valued differently across studies. A generic tool such as the EtD conceptualises all relevant dimensions, and might reduce inconsistencies.
Highlights • Legionella and human herpesvirus 3 coinfection in an immunocompetent patient. • Need of Legionella prevention and control measures at the workplace. • Importance of offering chickenpox ...vaccination to susceptible adults.
Pay for Performance (P4P) programs, based on provision of financial incentives for service quality, have been widely adopted to enhance quality of care and to promote a more efficient use of health ...care resources whilst improving patient outcomes. In Italy, as in other countries, the growing concern over the quality of health services provided and the scarcity of resources would make P4P programs a useful means of improving their performance. The aim of this paper is to evaluate whether it is possible to implement P4P programs in the Lombardy Region, in Italy, based on the existing data set.
Thirteen quality measures were identified regarding four clinical conditions (acute myocardial infarction (AMI), heart failure (HF), ischemic stroke and hip and knee replacement) on the basis of an international literature review. Data was collected using the database of three institutions, which included hospital discharge records (Scheda di Dimissione ospedaliera-SDO-) and letters of discharge. The study population was identified using both the Principal ICD-9-CM diagnosis codes and the discharge date. A Statistical Analysis System (SAS) program was used for the text analysis.
It was possible to calculate almost all the parameters pertaining to the three hospitals as all the data required was available with the exception of inpatient mortality in two hospitals and smoking cessation advice/counseling in one hospital.
On the ground of this analysis, we believe that it is possible to implement a P4P program in the Lombardy Region. However, for this program to be initiated, all necessary data must be available in electronic format and uniformly collected. Moreover, several other factors must be assessed: which clinical conditions should be included, the threshold for each quality parameter, the amount of financial incentives offered and how they will be provided.
Existing methods for measuring adverse events in hospitals intercept a restricted number of events. Text mining refers to a range of techniques to extract data from narrative sources. The goal of ...this study was to evaluate the performance of an automated approach for extracting adverse event keywords from within electronic health records.
The study involved 4 medical centers in the Region of Lombardy. A starting set of keywords was trained in an iterative process to develop queries for 7 adverse events, including those used by the Agency for Healthcare Research and Quality as patient safety indicators. We calculated positive predictive values of the 7 queries and performed an error analysis to detect reasons for false-positive cases of pulmonary embolism, deep vein thrombosis, and urinary tract infection.
Overall, 397,233 records were collected (34,805 discharge summaries, 292,593 emergency department notes, and 69,835 operation reports). Positive predictive values were higher for postoperative wound dehiscence (83.83%) and urinary tract infection (73.07%), whereas they were lower for deep vein thrombosis (5.37%), pulmonary embolism (13.63%), and postoperative sepsis (12.28%). The most common reasons for false positives were reporting of past events (42.25%), negations (22.80%), and conditions suspected by physicians but not confirmed by a diagnostic test (11.25%).
The results of our study demonstrated the feasibility of using an automated approach to detect multiple adverse events in several data sources. More sophisticated techniques, such as natural language processing, should be tested to evaluate the feasibility of using text mining as a routine method for monitoring adverse events in hospitals.
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