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Background Breast Cancer (BC) is a leading public-health issue affecting women on a global scale, accounting for about 500,000 new cases every year in Europe. Thanks to the widespread implementation of screening programs and the improvement in therapies, women with BC live longer but they also are more likely to experience an increased risk of other diseases, including second primary cancer, cardiovascular, and metabolic diseases. Reasons for this increased risk include genetics, shared risk factors, and adverse effects from BC treatment. Methods To analyse the risk of myocardial infarction (MI) and stroke in women with BC considering the potential side effects of treatments, we used data from the Piedmont Longitudinal Study, an administrative cohort based on the record-linkage among census data and several health-administrative databases to include than 4 million inhabitants of an Italian region. Results Among 1,342,333 women ranging from 30 to 75 years old 19,203 had a BC diagnosis in the follow-up period, of whom 206 experienced a subsequent MI and 203 a stroke. Women with BC showed an increased risk for MI (HR: 1.20; 95%CI: 1.05–1.38) and for stroke (HR: 1.58; 95%CI: 1.38–1.82). Chemotherapy seemed to be the major risk factor for MI in BC women, while no different risk by therapy was found for stroke. Conclusion The results of this study supported the hypothesis about the toxic effect of therapies, suggesting both clinicians to routinely and actively screen for these treatment-related toxicities in women with BC and researchers to prioritize personalized treatments in order to minimize potentially devastating side effects.

This article is the first of a series that aims to describe the AuditFeedback (AF) methodology. Some key elements focus on what AF is and how it works. While it is an effective tool for promoting change in professional behaviour and improving the quality of care, there is still substantial uncertainty concerning how to implement AF interventions to maximize its effects. The article explains how to design effective AF on relevant issues, considering the available literature and direct experiences conducted in the National Health System (NHS). AF interventions should aim to achieve clear, attainable, and evaluable objectives, which concern aspects of care for which there is solid evidence of literature and potential space for improvement. Based on data that measure any distance between what is expected and observed in local practice, the feedback must turn to those who can pursue the proposed change and who must trust the data collection and analysis process. Feedback should be provided more than once, in verbal and written form, and might include explicit objectives and an action plan. When planning AF interventions, it is essential to provide specific data (e.g., aggregated at the level of a team, department, or individual doctor) rather than general, sending them directly to the professional or department involved rather than generically to the healthcare organization involved. In addition, it is essential to simplify the message so that the staff who receives the feedback can quickly understand the quality of the performance addressed and how to change it. Finally, it is necessary to encourage collaboration between the various healthcare professionals responsible for the quality of care and competence for improvement interventions (health professions, health management, quality expert personnel, and methodologists). Networking between staff improves the knowledge and effectiveness of AF. This article finally proposes practical examples of two main aspects of AF planning from the context of the EASY-NET program: how to increase the participation and involvement of the recipients of the intervention and the related pros and cons regarding the choice between the use of routinely available data from health information systems (SIS) and data collected ad hoc.

OBJECTIVES Our goal was to evaluate the impact of gender on the 10-year outcome of patients after isolated coronary artery bypass grafting (CABG) included in the Italian nationwide PRedictIng long-term Outcomes afteR Isolated coronary arTery bypass surgery (PRIORITY) study. METHODS The PRIORITY project was designed to evaluate the long-term outcomes of patients who underwent CABG and were included in 2 prospective multicentre cohort studies. The primary end point of this analysis was major adverse cardiac and cerebrovascular events. Baseline differences between the study groups were balanced with propensity score matching and inverse probability of treatment. Time to events was analysed using Cox regression and competing risk analysis. RESULTS The study population comprised 10 989 patients who underwent isolated CABG (women 19.6%). Propensity score matching produced 1898 well-balanced pairs. The hazard of major adverse cardiac and cerebrovascular event was higher in women compared to men [adjusted hazard ratio (HR) 1.13, 95% confidence interval (CI) 1.03–1.23; P = 0.009]. The incidence of major adverse cardiac and cerebrovascular event in women was significantly higher at 1 year (HR 1.31, 95% CI 1.11–1.55; P CONCLUSIONS The present study documented an excess of non-fatal cardiac events after CABG among women despite comparable 10-year survival with men. These findings suggest that studies investigating measures of tertiary prevention are needed to decrease the risk of adverse cardiovascular events among women.

The debate on the advantages and limitations of off-pump myocardial revascularization (OPCAB) on long-term outcomes has not still arrived to a conclusion. This study was designed to compare the impact of OPCAB vs, on-pump coronary artery bypass grafting (CABG) on long-term mortality and major adverse cardiac and cerebrovascular events (MACCEs).The PRIORITY project was designed to evaluate the long-term outcomes of two large prospective multicenter cohort studies on CABG. Data on isolated CABG were linked to two administrative datasets. The inverse probability of treatment weight was employed to balance the treatment groups. Time-to-event methods were employed to analyze endpoints.The cohort consisted of 10 988 patients who underwent isolated CABG (27.2% OPCAB). The median follow-up time was 7.9 years and was 100% complete. Unadjusted long-term survival was significantly worst for OPCAB, confirmed by weighted models (hazard ratio 1.08, 95% confidence interval (CI) 1.01-1.14, P = 0.01). OPCAB was associated to an increased risk of MACCE at 10 years (weighted hazard ratio 1.18, 95% CI 1.12-1.23, P 0.001). Inside the MACCEs, OPCAB was significantly related to increased incidence of repeat revascularization (hazard ratio 2.27, 95% CI 1.39-3.85, P 0.001, in the first 6 months, hazard ratio 1.19, 95% CI 1.09-1.32, P 0.001 afterward) and stroke (hazard ratio 1.22, 95% CI 1.10-1.35, P 0.001).The results of this study suggest that OPCAB was associated with an increased risk of mortality, repeat myocardial revascularization and stroke at 10 years compared with on-pump CABG.

Aims Valid health economic models are essential to inform the adoption and reimbursement of therapies for diabetes mellitus. Often existing health economic models are applied in other countries and settings than those where they were developed. This practice requires assessing the transferability of a model developed from one setting to another. We evaluate the transferability of the MICADO model, developed for the Dutch 2007 setting, in two different settings using a range of adjustment steps. MICADO predicts micro- and macrovascular events at the population level. Methods MICADO simulation results were compared to observed events in an Italian 2000–2015 cohort (Casale Monferrato Survey [CMS]) and in a Dutch 2008–2019 (Hoorn Diabetes Care Center [DCS]) cohort after adjusting the demographic characteristics. Additional adjustments were performed to: (1) risk factors prevalence at baseline, (2) prevalence of complications, and (3) all-cause mortality risks by age and sex. Model validity was assessed by mean average percentage error (MAPE) of cumulative incidences over 10 years of follow-up, where lower values mean better accuracy. Results For mortality, MAPE was lower for CMS compared to DCS (0.38 vs. 0.70 following demographic adjustment) and adjustment step 3 improved it to 0.20 in CMS, whereas step 2 showed best results in DCS (0.65). MAPE for heart failure and stroke in DCS were 0.11 and 0.22, respectively, while for CMS was 0.42 and 0.41. Conclusions The transferability of the MICADO model varied by event and per cohort. Additional adjustments improved prediction of events for MICADO. To ensure a valid model in a new setting it is imperative to assess the impact of adjustments in terms of model accuracy, even when this involves the same country, but a new time period.

Valid health economic models are essential to inform the adoption and reimbursement of therapies for diabetes mellitus. Often existing health economic models are applied in other countries and settings than those where they were developed. This practice requires assessing the transferability of a model developed from one setting to another. We evaluate the transferability of the MICADO model, developed for the Dutch 2007 setting, in two different settings using a range of adjustment steps. MICADO predicts micro- and macrovascular events at the population level.MICADO simulation results were compared to observed events in an Italian 2000-2015 cohort (Casale Monferrato Survey [CMS]) and in a Dutch 2008-2019 (Hoorn Diabetes Care Center [DCS]) cohort after adjusting the demographic characteristics. Additional adjustments were performed to: (1) risk factors prevalence at baseline, (2) prevalence of complications, and (3) all-cause mortality risks by age and sex. Model validity was assessed by mean average percentage error (MAPE) of cumulative incidences over 10 years of follow-up, where lower values mean better accuracy.For mortality, MAPE was lower for CMS compared to DCS (0.38 vs. 0.70 following demographic adjustment) and adjustment step 3 improved it to 0.20 in CMS, whereas step 2 showed best results in DCS (0.65). MAPE for heart failure and stroke in DCS were 0.11 and 0.22, respectively, while for CMS was 0.42 and 0.41.The transferability of the MICADO model varied by event and per cohort. Additional adjustments improved prediction of events for MICADO. To ensure a valid model in a new setting it is imperative to assess the impact of adjustments in terms of model accuracy, even when this involves the same country, but a new time period.

Background: In 2019, the Enhanced Recovery After Surgery (ERAS) protocol for colorectal cancer surgery was adopted by a minority of hospitals in Piemonte (4.3 million inhabitants, north-west Italy). The present analysis aims to compare the level of application of the ERAS protocol between hospitals already adopting it (ERAS, N = 3) with the rest of the regional hospitals (non-ERAS, N = 28) and to identify possible obstacles to its application. Methods: All patients surgically treated for a newly diagnosed colorectal cancer during September–November 2019, representing the baseline period of a randomized controlled trial with a cluster stepped-wedge design, were included. Indicators of compliance to the ERAS items were calculated overall and for groups of items (preoperative, intraoperative and postoperative) and analyzed with a multilevel linear model adjusting for patients’ characteristics, considering centers as random effects. Results: Overall, the average level of compliance to the ERAS protocol was 56% among non-ERAS centers (N = 364 patients) and 80% among ERAS ones (N = 79), with a difference of 24% (95% CI: −41.4; −7.3, p = 0.0053). For both groups of centers, the lowest level of compliance was recorded for postoperative items (42% and 66%). Sex, age, presence of comorbidities and American Society of Anesthesiologists (ASA) score were not associated with a different probability of compliance to the ERAS protocol. Conclusions: Several items of the ERAS protocol were poorly adopted in colorectal surgery units in the Piemonte region in the baseline period of the ERAS Colon-Rectum Piemonte study and in the ERAS group. No relevant obstacles to the ERAS protocol implementation were identified at patient level.

Introduction/Background* Epithelial ovarian cancer (EOC) is the most lethal gynaecological cancer with 3285 estimated deaths in Italy in 2021. In 2016, the Piedmont and Valle d’Aosta Oncology Network (NW Italy) started on an Audit and Feedback (A&F) intervention to improve the quality and equity of care for ovarian cancer patients residing in Piedmont. This A&F is part of the activities of the EASY-NET network program (https://easy-net.info/). Methodology All consecutive patients treated for newly diagnosed EOC were included by 34 centres from May 2016 to September 2020. Clinical data were entered in a dedicated web database and data quality was centrally monitored. During the audit, 14 feedback meetings were organized with the participating centres to discuss data quality and preliminary results. The treating hospitals were classified according to the mean yearly volume of surgical activity (≥35; 34-18; 75%), medium (75-60%) and low ( Result(s)* The present analysis includes 905 patients with EOC diagnosed until December 2019 (23.4% early stages, 76.6% advanced). Out of 12 analysed indicators, 4 showed a high level of adherence (e.g., Completeness of diagnosis and staging: 83%), 3 a medium level (e.g., Adherence to surgical guidelines: 65.5%) and 5 a low level (e.g., Timing and number of cycles for NACT: 57.1%). In general, there was a lower adherence to guidelines by centres with a low volume of activity. For most of the indicators there was an improvement over time. Adherence to guidelines was associated to better OS after adjustment for prognostic factors. Conclusion* The A&F intervention was useful to support the identification of reference centres, to promote centralization, to reduce variability among regional hospitals and to increase the appropriateness of treatment. Adherence to guideline recommendations was associated to a better outcome. The EASY-NET project was funded by Ministry of Health and participating Regions (NET-2016-02364191).

Bariatric surgery (BS) confers a survival benefit in specific subsets of patients with severe obesity, otherwise, effects on hospital admissions are still uncertain. We assessed the long-term effect on mortality and on hospitalization of BS in patients with severe obesity. This was a retrospective cohort study, including all patients residing in Piedmont (age 18–60 years, BMI ³ 40 kg/m2) admitted during 2002–2018 to the Istituto Auxologico Italiano. Adjusted hazard ratios (HR) for BS were estimated for mortality and hospitalization, considering surgery as a time-varying variable. Out of 2285 patients, 331 (14.5%) underwent BS, 64.4% received sleeve gastrectomy (SG), 18.7% Roux-en-Y gastric bypass (RYGB), and 16.9% adjustable gastric banding (AGB). After 10-year follow-up, 10 (3%) and 233 (12%) patients from BS and non-BS groups died, respectively (HR = 0.52, 95%CI 0.27–0.98, by a multivariable Cox proportional-hazards regression model). In patients undergoing SG or RYGB, the hospitalization probability decreased significantly in the after-BS group (HR = 0.77, 0.68–0.88 and HR = 0.78, 0.63–0.98, respectively) compared to non-BS group. When comparing hospitalization risk in the BS group only, a marked reduction after surgery was found for all BS types. In conclusion, BS significantly reduced the risk of all-cause mortality and hospitalization after 10-year follow-up.

Objectives: The aim of this study was to conduct a discrete choice experiment with patients affected by colorectal cancer to understand their preferences for different attributes of the chemotherapy supply. Our overall goal is to provide evidence on the relative importance of each attribute in order to tailor chemotherapy supply according to patients' priorities in the design or reorganization processes of cancer services. Methods: Focus groups were used to identify the attributes and levels for the discrete choice experiment. The attributes were: continuity of care, understanding, information, treatment choice, and time for therapy. Respondents were asked to choose between two mutually exclusive hypothetical alternatives of chemotherapy supply. Patients completed the discrete choice experiment along with the health-related quality of life and patients’ satisfaction questions. Conditional and mixed logistic models were used to analyses the data. Results: Patients with colorectal cancer treated with chemotherapy (n = 76) completed the survey. The most important aspects of chemotherapy supply were: “Providing detailed and complete information” and “High ability in understanding” patients. Preferences were also influenced by the availability of a trusted doctor. Except for one attribute (waiting time for therapy), all other characteristics significantly influenced respondents’ preferences. Conclusions: Results should support a policy of strengthening medical doctors’ capabilities to communicate with patients, providing them complete information and involving them in the clinical decisions. Specifically, the findings should be used to improve the current provision of cancer care by identifying areas of preferred intervention from the perspectives of patients in order to tailor the service supply accordingly.

Background Preterm newborns may be discharged when clinical conditions are stable. Several criteria for early discharge have been proposed in the literature. This study carried out the first quantitative comparison of their impact in terms of hospitalization savings, safety and costs. Methods This study was based on the clinical histories of 213 premature infants born in the Neonatal Intensive Care Unit of Padova University Hospital between 2013 and 2014. Seventeen early discharge criteria were drawn from the literature and retrospectively applied to these data, and computation of hospitalization savings, safety and costs implied by each criterion was carried out. Results Among the criteria considered, average gains ranged from 1.1 to 10.3 hospital days and between 0.3 and 1.1 fewer infections per discharged infant. Criteria that led to saving more hospital days had higher cost-effectiveness in terms of crisis and infection, and they spared infants from more infections. However, episodes of apnea and bradycardia were detected after the potential early discharge date for all criteria, with a mean number of episodes numbering between 0.3 and 1.4. Conclusion The results highlight a clear trade-off between days saved and health risks for infants, with potential consequences for health care costs.

Introduction ERAS (Enhanced Recovery After Surgery) is a perioperative program combining multiple evidence-based interventions designed to reduce the surgical stress response. Despite the publication of dedicated guidelines, ERAS application to gynecologic surgery outside clinical studies has been slow and fragmented. To promote the systematic adoption of the ERAS program in the entire regional hospital network in Piedmont an Audit-and-Feedback approach (A&F) has been adopted within a cluster randomized controlled trial, aiming to estimate the true impact of the protocol on a large, unselected population. Methods The study protocol provides for a multicenter stepped wedge cluster randomized trial, focused on women undergoing an hysterectomy, for comparison between standard perioperative management and perioperative management according to the ERAS protocol. The primary outcome is the length of hospital stay (LOS). Secondary outcomes are: post-operative complications, quality-of-recovery at 24-hours after surgery, 30-day readmissions, patients’ satisfaction, healthcare costs. The compliance to all the ERAS items is monitored with an A&F approach. All the gynecologic units of Piedmont hospitals are involved and all the patients hospitalized for elective hysterectomy in the period of the study are included. Centers, stratified by surgical volume and randomly assigned to four groups, are randomly ordered to activate the ERAS protocol in four periods, every three months. The planned calendar and the total duration of the study have been extended for six months due to the COVID-19 pandemic. The expected sample size of about 2400 patients has a high statistical power (99%) to detect a reduction of LOS of 1 day (effect size 0.5) and to estimate clinically meaningful changes in the other study endpoints. The study protocol has been approved by the Ethical Committee of all participating centers. Study results will be timely circulated within the hospital network and published in peer-reviewed journals. Conclusion Results are expected to demonstrate positive clinical outcomes of the ERAS protocol even when its implementation is directed towards an entire regional network of gynecologic units, and not only towards selected and highly motivated centers. Trial registration NCT04063072

The allocation of clinical and economic resources is an emerging issue in health management. A useful update necessarily depends on the evaluation of long-term outcomes of clinical and surgical resources that can permit emphasis on all amendable fields, improve quality of care, and reduce health costs. The PRIORITY (PRedictIng long term Outcomes afteR Isolated coronary arTery bypass surgerY) study represents the first innovative step toward the updating of health management in a selected field, surgery for coronary artery disease, which is one of the most prevalent diseases and requires allocation of high-cost resources, although information on long-term outcomes is limited. The aims of the PRIORITY study are the identification of preoperative risk factors for long-term outcomes and the development of clinical and administrative preoperative scores that can guide clinicians and the national health system to more appropriate actions for increasing quality of care and reducing costs.

We are presenting here the findings of the reaction to the COVID-19 epidemic during the period March to June 2020 of those centres participating in the research EASY-NET which is on-going in Italy, funded by the Ministry of Health and co-founded by the Regional Health Authorities. The objective of EASY-NET is to evaluate the effectiveness of the audit and feedback (AF) strategies in different clinical and organizational settings in seven regions. As a negative consequence of the COVID-19 epidemic, the activities of the project have suddenly slowed down; nevertheless, the COVID-19 epidemic represented an opportunity to apply the AF methodology and support the healthcare within the regional authorities in order to manage and monitor the impact of this new disease. The reaction to the crisis on behalf of EASY-NET was inconsistent across the participating regions for various reasons. Factors which influenced the reaction levels in relation to the rapidity and efficiency of the implementation of the AF strategies were as follows: the varying epidemiological impact of the COVID-19 epidemic in the various territories, the different clinical and organizational context and availability of expert research teams together with AF procedures which had already been tested before the start of the epidemic.

Background Little is known about the economic consequences of living with severe multiple sclerosis (SMS). Aims To assess the cost-effectiveness of a home-based palliative approach (HPA) for people with SMS (pwSMS). To assess direct healthcare costs in this population. Methods PwSMS from three Italian centers received (2:1 ratio) HPA or usual care over six months. Direct healthcare costs were collected on a monthly basis. Incremental cost-effectiveness was gauged from a national healthcare system (NHS) and a personal perspective, considering the Palliative Outcome Scale-Symptoms-MS (POS-S-MS) and the EuroQol five-dimension descriptive system quality-adjusted life years (EQ-5D-3L QALYs), both completed at baseline, after three and six months. Results Of 78 randomized pwSMS, 76 (50 HPA, 26 usual care) were analyzed. Mean QALYs were close to zero, and the mean group difference was -0.006 (95% CI -0.057 to 0.044). The mean baseline-adjusted cost difference was € -394 (95% confidence interval, CI -3,532 to 2,743). POS-S-MS cost-effectiveness showed a slight mean reduction of symptom burden (-1.9; 95% CI -1.1 to 5.0) with unchanged costs. Mean direct costs due to MS were € 23,195/year, almost equally distributed between NHS (€ 13,108) and pwSMS (€ 10,087). Personal care, medications and home rehabilitation accounted for 80% of total expenditures. Most personal care costs were covered by pwSMS, and these costs were 3/4 of pwSMS out-of-pocket. Conclusions The slight reduction of symptom burden produced by the HPA was not associated with an increase in costs. NHS and pwSMS almost equally sustained these costs. Trial registration Current Controlled Trials ISRCTN73082124.

AIMS: The United Kingdom Prospective Diabetes Study Outcomes Model version 2 (UKPDS-OM2) is a health economic decision model supporting long-term evaluation of treatment options in diabetes. The aim of the study was to externally validate the model by comparing the predicted and observed outcomes in two European population-based cohorts of people with type 2 diabetes. MATERIALS AND METHODS: We used data from the Casale Monferrato Survey (CMS) [n=1931] and a subgroup of the Hoorn Diabetes Care System (DCS) cohorts [N=5188]. The following outcomes were analysed: all-cause mortality, myocardial infarction (MI), ischaemic heart disease (IHD), stroke, and congestive heart failure (CHF). Model performance was assessed by comparing predictions with observed cumulative incidences in each cohort during follow-up. RESULTS: All-cause mortality was overestimated by the UKPDS-OM2 in both the cohorts, with a bias of 0.05 in CMS and 0.12 in DCS at 10 years of follow-up. For MI, predictions were consistently higher than observed incidence over the entire follow-up in both cohorts (10 years bias 0.07 for CMS and 0.10 for DCS). The model performed well for stroke and IHD outcomes in both cohorts. Heart failure incidence was predicted well for DCS (5 years bias -0.001) but underestimated for CMS. CONCLUSIONS: UKPDS-OM2 consistently overpredicted the risk of mortality and MI in both cohorts during follow-up. Period effects may partially explain the differences. Results indicate that transferability is not satisfactory for all outcomes and new or adjusted risk equations may be needed before applying the model to the Italian or Dutch settings. This article is protected by copyright. All rights reserved.

Introduction: Few data on long-term follow-up of effectiveness and advantages related to the employ of double internal thoracic artery grafts (BITA) for coronary artery bypass grafting are available and the advantage of the employ of BITA have been recently questioned. Hypothesis: This observational cohort study was designed by the PRIORITY planning committee to evaluate 10-year follow-up of isolated CABG performed with and without BITA in order to evaluate the impact of BITA on long-term outcomes. Methods: The PRIORITY project was designed to evaluate the long-term outcomes of 2 large prospective multicenter cohort studies on CABG conducted between 2002-2004 and 2007-2008. Data on isolated CABG were linked to 2 administrative datasets. The primary endpoints were death and major adverse cardiac events (MACEs) at follow-up. Time-to-event data were analyzed using Kaplan-Meier estimates and Cox regression. Models generation was performed on the full dataset and the validation was performed with Montecarlo simulations. Results: The population consisted of 11021 patients who underwent isolated CABG; double thoracic internal artery grafts was employed in 23.5%. The median follow-up time was 7.9 years (interquartile range 7.4 - 10 years). After adjustment for potential confounding factors, BITA was significantly associated with better survival (HR 0.81, 95%CI 0.73-0.89, p < 0.001). Moreover, the employment of BITA reduced the incidence of MACEs at follow-up (adjusted HR 0.83, 95%CI 0.77-0.89, p < 0.001). In details, BITA was demonstrated to be a protective factor for acute myocardial infarction (adjusted HR 0.83, 95%CI 0.72-0.96, p = 0.001) and for rehospitalization for percutaneous cardiac intervention (PCI; adjusted HR 0.72, 95%CI 0.63-0.84, p < 0.001). Conclusions: The employment of double internal thoracic artery grafts for coronary artery bypass grafting has been associated to significant survival advantage at long-term. Moreover, it is a protective factor for acute myocardial infarction and rehospitalization for percutaneous cardiac intervention, reducing the hazard by 28%.

CoViD-19 pandemic heavily impacted most on-going research activities, causing delays and need of re-programming. EASY-NET (NET-2016-02364191) is a network project, started in April 2019, co-funded by the Italian Ministry of Health and the participating regions. Within the general project, centred on the evaluation of Audit and Feedback (AF) strategies in improving quality and equity in different health care contexts, the Piedmont region is responsible of the work package 3 (WP3) on specific oncology pathways and procedures. After a thorough evaluation of the impact of the CoViD-19 emergency on the WP3 activities, at the beginning of March 2020, the decision was to continue, with some adaptations, the audits already started, and to delay those in the early planning phase. The provisional availability of part of the time-persons involved in EASY-NET on one side, and the urgency of acquiring data on the management of the large number of CoViD-19 patients admitted to the study coordinator hospital on the other side, determined the personnel responsible of the WP3, in accordance with the hospital management, to invest these resources in monitoring the CoViD-19 hospitalized patients with both AF activity and research objectives. Besides periodic reports, a web site, with restricted access to the involved health care personnel, was developed to allow a direct and timely consultation of graphics describing the flow of the patients, their management, and outcomes. This experience was made possible thanks to a favourable combination of different factors: the presence within the hospital of a group of experienced epidemiologists in AF, the availability of extra resources, the strong support and collaboration by the hospital management and the readiness for authorisation by the Ethics Committee. We underline the need to provide a certain degree of flexibility in the long-term projects funded by the Ministry of Health, the extraordinary adaptability of the AF approach also to emergency situations and the possibility of combining audit activities and research objectives in the same project.

Background Identifying potential tools that could help improving the standard of care and lead to a better allocation of economic resources represents a main objective of research in public health. Using data from the PRIORITY cohort, this study aims to describe inpatients costs after a discharge for isolated coronary artery bypass surgery (CABG). Methods The PRIORITY project was designed to evaluate the long-term outcomes of 2 large multicenter cohort studies on CABG conducted between 2002-04 and 2007-08. For each patient discharged alive after a CABG intervention, costs of hospitalizations were estimated as the sum of costs of all the admissions occurred during 3 years of follow-up. NHS reimbursement rates were used as standard costs (in Euros). Inpatients costs were analysed according to their baseline risk factors. Results Among the 7363 patients included in this analysis, the median 3-year hospitalization costs were 4341€ (IQR: 1865-11699). Median costs were around 4.000€ for subjects alive at the end of follow up but higher for patients dying within 1 (about 8.600€) and 2-3 years of follow up (about 20.000€). The presence of comorbidities (such as diabetes and cancer) lead to higher median hospitalization costs while the on-pump approach was associated to lower median cost. Sixteen per cent of patients were at zero cost having no re-hospitalizations during the 3 years of follow-up (97% alive). Subjects at zero cost received more frequently on-pump approach, had a lower frequency of cancer, arteriopathy and ictus, but a higher frequency of angina and infarction. Conclusions Inpatient costs after isolated CABG are affected by preoperative comorbidities and by operative variables that could be removed or managed. Identifying independent risk factors for re-hospitalization will lead to the definition of a preoperative clinical and decision-making path that will bring both a clinical advantage for the patient and an optimization of costs for the NHS. Key messages Inpatient costs after isolated CABG are affected by preoperative comorbidities and operative characteristics like the on-pump approach. Appropriate management of operative approaches mainly based on operator preferences can have important implications in terms of healthcare costs.

PURPOSE: Assuring quality of care, while maintaining sustainability, in complex conditions such as breast cancer (BC) is an important challenge for health systems. Here, we describe a methodology to define a set of quality indicators, assess their computability from administrative data, and apply them to a large cohort of BC cases. MATERIALS AND METHODS: Clinical professionals from the Italian Regional Oncology Networks identified 46 clinically relevant indicators of BC care; 22 were potentially computable using administrative data. Incident cases of BC diagnosed in 2016 in five Italian regions were identified using administrative databases from regional repositories. Each indicator was calculated through record linkage of anonymized individual data. RESULTS: A total of 15,342 incident BC cases were identified. Nine indicators were actually computable from administrative data (two structure and seven process indicators). Although most indicators were consistent with guidelines, for one indicator (blood tumor markers in the year after surgery, 44.2% to 64.5%; benchmark ≤ 20%), deviation was evident throughout the five regions, highlighting systematic overlooking of clinical recommendations. Two indicators (radiotherapy within 4 months after surgery if no adjuvant chemotherapy; 42% to 83.8%; benchmark ≥ 90%; and mammography 6 to 18 months after surgery, 55.1% to 72.6%; benchmark ≥ 90%) showed great regional variability and were lower than expected, possibly as result of an underestimation in indicator calculation by administrative data. CONCLUSION: Despite highlighting some limitations in the use of administrative data to measure health care performance, this study shows that evaluating the quality of BC care at a population level is possible and potentially useful for guiding quality improvement interventions.

BACKGROUND: the Covid-19 pandemic has provoked a huge of clinical and epidemiological research initiatives, especially in the most involved countries. However, this very large effort was characterized by several methodological weaknesses, both in the field of discovering effective treatments (with too many small and uncontrolled trials) and in the field of identifying preventable risks and prognostic factors (with too few large, representative and well-designed cohorts orcase-control studies). OBJECTIVES: in response to the fragmented and uncoordinatedresearch production on Covid-19, the italian Association of Epidemiology (AIE) stimulated the formation of a working group (WG) with the aims of identifying the most important gaps in knowledge and to propose a structured research agenda of clinical and epidemiological studies considered at high priority on Covid-19, including recommendations on the preferable methodology. METHODS: the WG was composed by 25 subjects, mainly epidemiologists, statisticians, and other experts in specific fields, who have voluntarily agreed to the proposal. The agreement on a list of main research questions and on the structure of the specific documents to be produced were defined through few meetings and cycles of document exchanges. RESULTS: twelve main research questions on Covid-19 were identified, covering aetiology, prognosis,interventions, follow-up and impact on general and specific populations (children, pregnant women). For each of them, a two-page form was developed, structured in: background, main topics, methods (with recommendations on preferred study design and warnings for bias prevention) and an essential bibliography. CONCLUSIONS: this research agenda represents an initial contribution to direct clinical and epidemiological research efforts on high priority topics with a focus on methodological aspects. Further development and refinements of this agenda by Public Health Authorities are encouraged.

Background Transvaginal ultrasonography (TVS) and serum biomarkers are widely used in clinical practice to triage adnexal masses, but the effectiveness of current biomarkers is quite weak. Objectives To determine the best way to diagnose the patients with adnexal masses, in terms of diagnostic accuracy and economic costs, among four triage strategies: International Ovarian Tumor Analysis group's simple rules (SR) for the interpretation of TVS with the addition of subjective assessment (SA) by an experienced ultrasound operator only when TVS results are inconclusive (hereafter defined as SR±SA), SR±SA+CA125, SR±SA+HE4, and SR±SA+ROMA. Our main hypothesis was that the addition of the biomarkers (CA125, HE4 or ROMA algorithm) to SR±SA could improve the triage of these patients in terms of diagnostic accuracy (i.e., malignant versus benign). As secondary analyses we estimated the cost-effectiveness of the four strategies and the diagnostic accuracy of SR±SA at the study hospitals. Methods From February 2013 to January 2015, 447 consecutive patients who were scheduled for surgery for an adnexal mass at the S.Anna and Mauriziano Hospitals in Turin were enrolled in this multi-center prospective cohort study. Preoperative TVS was performed and preoperative CA125 and HE4 levels were measured. Pathology reports were used to assess the diagnostic accuracy of the four triage strategies, and the costs of each strategy were also calculated. Results 391 patients were included in the analysis: 57% (221) were premenopausal and 43% (170) were postmenopausal. The overall prevalence of malignancy was 21%. SR were conclusive in 89% of patients; the overall performance of SR±SA was: sensitivity 82%, specificity 92%, and positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio: 74%, 95%, 10.5, and 0.19, respectively. In premenopausal women, mean costs varied from €36.4 for SR±SA, to €70.1 for SR±SA+ROMA. The addition of biomarkers to SR±SA showed no diagnostic advantage compared to SR±SA and was also more costly. Among postmenopausal women, mean costs varied from €39.5 for SR±SA, to €73.2 for SR±SA+ROMA. SR±SA+CA125 and SR±SA+ROMA had a higher sensitivity (92%, 95% confidence interval [CI] 85-99% for both) than SR±SA (81%, 95% CI 71-91%), but SR±SA had a higher specificity (84%, 95% CI 77-91%). SR±SA+CA125 and SR±SA+ROMA improved diagnostic accuracy, each diagnosing 33.3% more malignant adnexal masses. Compared to SR±SA alone, SR±SA+CA125 showed a net reclassification improvement (NRI) of 28.8% at an extra cost of €13, while the extra cost for SR±SA+ROMA was €33, being the gain in terms of NRI superimposable with SR±SA+CA125. Conclusions In our study sample SR±SA seems to be the best strategy to triage adnexal masses. Among postmenopausal women, SR±SA+CA125 increased the NRI at a reasonable extra cost. Our data does not justify the use of HE4 and ROMA in the initial triage of adnexal masses.

Background Breast cancer (BC) is the malignant tumor with the highest incidence in women in the world with an estimate of about 500,000 new cases per year in Europe. Guidelines for BC treatment include surgery followed by radiotherapy, hormonal therapy or chemotherapy. Several studies showed that BC treatment increases the risk of myocardial infarction (MI) while only few studies investigated the risk of stroke after BC. The aim of the present study was to assess the risk of MI and stroke in BC survivors, taking into account the possible influence of treatments. Methods Women included in the study are part of a longitudinal cohort including all residents in the Piedmont region linked to the 2011 census data and followed-up through administrative data on mortality, hospital admissions, drug prescriptions, and outpatient consultations. Validated algorithms to identify BC incident cases and their therapies as well as to identify MI and stroke were applied. The effect of BC on the risk of MI and stroke was tested using Cox models (adjusted for confounding variables) that allow to account for the competing risks. First, BC patients were compared to healthy women, then BC women that undertwent a specific therapy were compared with both healthy women and other BC patients. Results Women with BC showed an increased risk compared to healthy women for both MI (HR: 1.20; 95% CI: 1.05-1.38) and stroke (HR: 1.58; 95%CI: 1.38-1.82). Chemotherapy almost doubled the risk of MI, while radiotherapy did not seem to have a similar effect, even comparing with other BC patients. The high risk of stroke observed comparing BC (any therapy) with healthy women disappeared when comparing specific therapies among BC patients. Conclusions Chemotherapy increased the risk of MI in BC patients, while recent radiotherapy strategies had less impact, if any. Moreover, the mechanism for which BC patients have an increased risk of stroke seems not to be related to a late effect of therapies. Key messages Breast cancer women are at higher risk of developing cardio and cerebrovascular diseases and this should be taken into account when planning therapies and follow-up surveillance. Despite the increase in quality of the therapeutic approaches for breast cancer patients, chemotherapy increases the risk of myocardial infarction, while radiotherapy dangerousness recently decreased.

Rationale, aims, and objectives Missing data represent a challenge in longitudinal studies. The aim of the study is to compare the performance of the multivariate normal imputation and the fully conditional specification methods, using real data set with missing data partially completed 2 years later. Method The data used came from an ongoing randomized controlled trial with 5-year follow-up. At a certain time, we observed a number of patients with missing data and a number of patients whose data were unobserved because they were not yet eligible for a given follow-up. Both unobserved and missing data were imputed. The imputed unobserved data were compared with the corresponding real information obtained 2 years later. Results Both imputation methods showed similar performance on the accuracy measures and produced minimally biased estimates. Conclusion Despite the large number of repeated measures with intermittent missing data and the non-normal multivariate distribution of data, both methods performed well and was not possible to determine which was better.

Objectives The aim of this study is to assess the management of patients affected by ovarian cancer at first diagnosis in the Oncological Network of Piedmont and Valle d’Aosta. Specific objectives of this audit are: description of first line treatment, evaluation of adherence to international guidelines, description of overall survival and assessment of clinical and organisational factors that could influence the outcome. Methods This audit includes a retrospective and a prospective part. The retrospective analysis concerns incident cases between January and June 2016, which are useful to describe structure and process indicators at baseline. The prospective anlysis concerns patients with ovarian cancer treated in the hospitals of the oncological network from May 2017 until today and will last three years. The outcomes are shared with the operators every six months. Results There has been a significant improvement in adherence to the correct treatment pathways: the percentage of patients following the correct diagnostic-therapeutic pathway increased from 2.3% in 2015 to 68.2% in 2017 with a further improvement in the last year. Focusing on retrospective analysis, a comparison with a similar previous study (COROP 2009) shows a centralisation of treatments, an increase in early diagnosis, a better adherence to protocols with a significant improvement in overall survival. Conclusions Retrospective data showed an improvement in care pathways confirmed by a preliminary analysis of prospective data. If these results will be confirmed at the end of the Audit, it could be possibile to exporting this system also outside the Oncological Network in order to set improvement strategies.

Objective Several European countries are implementing organized colorectal cancer (CRC) screening programmes using faecal immunochemical test (FIT) and/or flexible sigmoidoscopy (FS), but the cost-effectiveness of these programmes is not yet available. We aimed to assess cost-effectiveness, based on data from the established Piedmont screening programme. Methods Using the Piedmont programme data, a Markov model was constructed comparing three strategies in a simulated cohort of 100,000 subjects: single FS, biennial FIT, or sequential strategy (FS + FIT offered to FS non-responders). Estimates for CRC incidence and mortality prevention were derived from studies of organized screening. Cost analysis for FS and FIT was based on data from organized programmes. Incremental cost-effectiveness ratios (ICER) between the different strategies were calculated. Sensitivity and probabilistic analyses were performed. Results Direct costs for FS, and for FIT at first and subsequent rounds, were estimated as €160, €33, and €21, respectively. All the simulated strategies were effective (10–17% CRC incidence reduction) and cost-effective vs. no screening (ICER Conclusions Organized CRC screening programmes are highly cost-effective, irrespective of the test selected. A sequential approach with FS and FIT appears the most cost-effective option. A single FS is the least expensive, but convenient, approach.

AIMS: With evidence supporting the use of preventive interventions for prediabetes populations and the use of novel biomarkers to stratify the risk of progression, there is a need to evaluate their cost-effectiveness across jurisdictions. Our aim is to summarize and assess the quality and validity of decision models and model-based economic evaluations of populations with prediabetes, to evaluate their potential use for the assessment of novel prevention strategies and to discuss the knowledge gaps, challenges and opportunities.MATERIALS AND METHODS: We searched Medline, Embase, EconLit and NHS EED between 2000 and 2018 for studies reporting computer simulation models of the natural history of individuals with prediabetes and/or we used decision models to evaluate the impact of treatment strategies on these populations. Data were extracted following PRISMA guidelines and assessed using modelling checklists. Two reviewers independently assessed 50% of the titles and abstracts to determine whether a full text review was needed. Of these, 10% was assessed by each reviewer to cross-reference the decision to proceed to full review. Using a standardized form and double extraction, each of four reviewers extracted 50% of the identified studies.RESULTS: A total of 29 published decision models that simulate prediabetes populations were identified. Studies showed large variations in the definition of prediabetes and model structure. The inclusion of complications in prediabetes (n = 8) and type 2 diabetes (n = 17) health states also varied. A minority of studies simulated annual changes in risk factors (glycaemia, HbA1c, blood pressure, BMI, lipids) as individuals progressed in the models (n = 7) and accounted for heterogeneity among individuals with prediabetes (n = 7).CONCLUSIONS: Current prediabetes decision models have considerable limitations in terms of their quality and validity and do not allow evaluation of stratified strategies using novel biomarkers, highlighting a clear need for more comprehensive prediabetes decision models.

to assess at population level if healthcare administrative data can be suitable to identify variability and determinants of the prescribing rates for some diagnostic imaging procedures at high-risk of inappropriateness.population-based observational study.Piedmont Region (Northern Italy) adult population (20 years) in year 2013. The subjects included were 3,566,147, referring to 3,016 general practitioners (GPs), in 12 Local Health Authorities (LHAs).prescription rates of 4 diagnostic imaging procedures at high-risk of inappropriateness (vertebral and joint magnetic resonance - MR, vertebral computed tomography - CT, and bone densitometry). The following factors have been investigated: sociodemographic and clinical data of the subjects, prescribing GPs' characteristics, and organizational environment of the LHA for whom the GP is working. For each procedure, prescription rate determinants have been estimated by a logistic regression modelling of the probability of receiving at least one prescription during the year. Hierarchical data structure has been managed. The Intraclass Correlation Coefficient (ICC) and the Median Odds Ratio (MOR) were used as measures of variability due to GPs and LHAs.the degree of variability among LHAs and, within each LHA, among GPs was moderate (ICC for LHA: 0.009 and 0.004; ICC for GP: 0.015 and 0.014, respectively, for vertebral and joint MR). Prescribing probability was mainly explained by the demographic and clinical characteristics of the subjects. Most of the GPs' characteristics did not show any relevant association. Results suggest also a potential role of the private technology availability in the LHA where the GP is working.administrative healthcare data did not describe a relevant degree of variability in prescribing diagnostic imaging procedures in Piedmont Region, except for some GPs and LHAs with a different rate from the regional average. To explain differences in prescribing rates of some GPs or LHAs and to assess their appropriateness, outpatient databases should be enriched with clinical data (mainly, diagnosis or clinical suspicion) or different tools, such as clinical audit, should be used.

Background and aims: In the present population-based study, we aimed to describe the per patient annual healthcare cost of people with diabetes in 2007-2012, to assess the relative burden of diabetes complications and other potential determinants on healthcare costs in the 2012 cohort, and to describe and analyse the determinants of the cost of incident cases diagnosed in 2012. Methods and results: We analysed data from a retrospective cohort of residents in four Italian areas that were served by Local Health Units participating in the ARNO Observatory. Per patient annual healthcare costs (Euros) were estimated as the sum of all the resources supplied during that year (drugs, outpatient care, and hospitalisations). The mean per patient annual healthcare cost increased from €2752 in 2007 to €3191 in 2010, before decreasing to €2791 in 2012. The largest component of these costs was represented by hospitalisations (around €1550, on average; 51.7% of total cost), followed by outpatient care (€422; 14.6%) and drugs (€973; 33.7%). In 2012, the most relevant cost determinants were chronic diabetes complications, with an additional cost due to nephropathy/end stage renal disease (€4683), amputations (€5042), lower extremity revascularization (€4808), and cerebrovascular diseases (€3861). Costs associated with incidence cases were higher than those associated with prevalent. Conclusion: The present study provides evidence on the excess of healthcare costs due to diabetes complications in both prevalent and incident cases.

IntroductionDiabetes is a major public health problem and prediabetes (intermediate hyperglycaemia) is associated with a high risk of developing diabetes. With evidence supporting the use of preventive interventions for prediabetes populations and the discovery of novel biomarkers stratifying the risk of progression, there is a need to evaluate their cost-effectiveness across jurisdictions. In diabetes and prediabetes, it is relevant to inform cost-effectiveness analysis using decision models due to their ability to forecast long-term health outcomes and costs beyond the time frame of clinical trials. To support good implementation and reimbursement decisions of interventions in these populations, models should be clinically credible, based on best available evidence, reproducible and validated against clinical data. Our aim is to identify recent studies on computer simulation models and model-based economic evaluations of populations of individuals with prediabetes, qualify them and discuss the knowledge gaps, challenges and opportunities that need to be addressed for future evaluations.Methods and analysisA systematic review will be conducted in MEDLINE, Embase, EconLit and National Health Service Economic Evaluation Database. We will extract peer-reviewed studies published between 2000 and 2016 that describe computer simulation models of the natural history of individuals with prediabetes and/or decision models to evaluate the impact of interventions, risk stratification and/or screening on these populations. Two reviewers will independently assess each study for inclusion. Data will be extracted using a predefined pro forma developed using best practice. Study quality will be assessed using a modelling checklist. A narrative synthesis of all studies will be presented, focussing on model structure, quality of models and input data, and validation status.Ethics and disseminationThis systematic review is exempt from ethics approval because the work is carried out on published documents. The findings of the review will be disseminated in a related peer-reviewed journal and presented at conferences.Reviewregistration numberCRD42016047228.

BackgroundIn the northwestern Italian region of Piedmont, current statistics on hospitalizations show that surgical treatment for ovarian cancer (OC) is taking place in many small hospitals, as opposed to a more centralized approach. A population-based clinical audit was promoted to investigate whether OC is being managed according to clinical guidelines, identify determinants of lack of adherence to guidelines, and evaluate the association between adherence to guidelines and survival.Patients and MethodsResidents diagnosed with OC in 2009 were identified in the regional hospital discharge records database. All hospitalizations within 2 years from diagnosis were reviewed. Patients were classified according to their initial pattern of care, defined as “with curative intent” (CIPC) if including debulking surgery aimed at maximal cytoreduction. Adherence to guidelines for surgery and chemotherapy and the effects of this adherence on OC survival were investigated with logistic regression and Cox models.ResultsThe final study sample consisted of 344 patients with OC, 215 (62.5%) of whom received CIPC. Increasing age, comorbidities, and metastases were negatively associated with receiving CIPC. In the CIPC group, surgical treatment was adherent to guidelines in 35.2%, whereas chemotherapy was adherent in 87.8%. Surgical treatment that was adherent to guidelines [hazard ratio (HR), 0.72; 95% confidence interval (CI), 0.45–1.15] and absence of residual tumor (HR, 0.55; 95% CI, 0.32–0.94) were associated with better survival in the CIPC group, and chemotherapy that was adherent to guidelines was associated with a significant reduction in the risk of death (HR, 0.49; 95% CI, 0.28–0.87).ConclusionsResults support the need to reorganize the clinical pathway of patients with OC in the Piedmont Region and the need for better adherence to current guidelines.

To assess temporal trend in incidence (2003-12) and prevalence (2002-12) of type 1 diabetes in children and young adults, direct costs and selected indicators of quality of care under the coverage of the universalistic Italian National Health System (NHS).The ARNO Observatory, a healthcare monitoring system based on administrative data, identified a population-based multiregional cohort of subjects aged 0-29 years. Type 1 diabetes was defined by at least two prescriptions of insulin over 12 months and continuous insulin-treatment in the following year. Indicators of quality of care and directs costs were assessed in persons with diabetes and in people without diabetes, individually matched for age, gender and health unit (1:4 ratio). We identified 2357 incident cases of type 1 diabetes aged 0-29 years (completeness of ascertainment, 99%). Incidence rates were similar in ages 0-14 (15.8, 95% CI 14.9-16.8) and 15-29 years (16.3, 15.4-17.2), with no significant trend. Prevalence increased from 137 to 166.9/100,000, particularly in the age 15-29 years. Direct costs accounted for € 2117 in persons with diabetes and € 292 in control individuals. A statistically significant decreasing trend in hospitalization for acute complications was evident (p 0.001), which was almost completely due to ketoacidosis. People with at least one HbA1c measurement over the year were 48.5%.We showed high incidence and increasing prevalence of type 1 diabetes in young adults in Italy, which impact on direct costs under the universalistic coverage of the NHS.

Background Even if hyperglycaemia is often identified as an independent risk factor for developing respiratory tract infection, only few studies have investigated this relationship. The aim of this study is to investigate if plasma glucose on admission is related with in-hospital mortality among patients with pneumonia and to identify the glycaemic range with significant reductions of mortality risks in non-intensive care patients. Methods Data come from administrative records of 1018 non-intensive care patients hospitalised with diagnosis of pneumonia. For every patient, administrative records were linked with the plasma glucose. A multivariate logistic regression model was performed in order to evaluate the associations between in-hospital mortality and a set of demographic and clinical variables. Plasma glucose was added to the model as restricted cubic spline; risk estimates for hypoglycaemic and hyperglycaemic patients have been derived on the basis of this nonlinear model and presented with two values of odds ratio (OR). Results The minimal risk of in-hospital mortality was found at plasma glucose levels of mean 86 mg/dL [95% confidence interval (CI) 61–102]. The adjusted OR of deaths for plasma glucose on admission for hypoglycaemic patients (below 86 mg/dL) is 0.78 (95% CI 0.62–0.98) for each 10 mg/dL of decrease, whereas for hyperglycaemic patients (above 86 mg/dL), the OR is 1.33 (95% CI 1.07–1.66) for each 10 mg/dL of increase in plasma glucose. Conclusions Our observations suggest that in non-intensive care patients, hypoglycaemia, as hyperglycaemia, is associated with in-hospital mortality.

Rationale, aims and objectives Lung cancer is a disease with high consumption of health care resources. The aim of this study was to describe hospital costs due to lung cancer care from diagnosis until death or end of the study follow-up, in a cohort of incident cases, by using administrative data. Methods Particular attention was given to the determinants of total costs and the impact of the initial treatment approach on the process of costs accumulation. Incident cases were identified by the local Cancer Registry (January 2000–December 2003) among the residents of Turin (Italy). Per patient hospital care has been determined from administrative databases (outpatient radiotherapy records and hospital discharge records). Costs determinants were identified via a multivariable generalized linear model (GLM), with a Gamma cost distribution and a logarithmic link function. To assess the time effect over the cost accumulation process for non-small-cell lung cancer cases, the same GLM Gamma model was repeated at different follow-up periods. Analyses were stratified by cancer histotype. Results Results evidenced the relevant role of initial patterns of care on the cost accumulation process, with increased midterm costs associated with curative patterns of care. Conclusion The use of administrative data enabled hospital lung cancer care to be described, and related costs to be estimated.

Objective: To analyze the role of sociodemographic factors as determinants of the initial pattern of care and survival in incident NSCLC cases. Methods: We linked 2298 incident NSCLC cases, identified by the Piedmont Cancer Registry of Turin (PCRT) with administrative health records to identify the initial pattern of care. Because stage of disease strongly influences pattern of care and prognosis of NSCLC, all the analyses were stratified according to stage (early and advanced). The association between the set of patient's characteristics and the probability of accessing a specific pattern of care was analysed with a multivariable multinomial logistic regression model. Survival was analysed with the Cox proportional hazard model. Results: In the early stage group, presence of comorbidities, older age and low educational level were all associated with a lower probability of receiving surgery. These same factors, as well as being unmarried, were associated with higher probability of receiving other non-curative care only. The effects of comorbidities and low educational level as barriers to receiving more effective patterns of care were not relevant in the advanced stage group. When controlling for initial patterns of care, in the early stage group, an age older than 75 years and being unmarried were negative prognostic factors, while survival was completely independent from educational level. Among patients with an advanced stage of disease, only comorbidities had a negative impact on survival. Conclusion: Appropriate lung cancer care is affected by sociodemographic factors. Greater attention to social and health programs is recommended to improve the timeliness of diagnosis, the staging of potentially resectable patients, and to implement more comprehensive multidisciplinary evaluations of those who may benefit from curative treatments.

Purpose To assess the cost-effectiveness of water compared with normal land delivery. Methods A retrospective controlled study was conducted over a two-year period in a Northern Italian hospital. The cohort included all the 110 women who completed a water birth and 110 women who had a land birth during the same period. The two groups were compared with respect to labour duration, perineal tear and newborn's health status. The economic evaluation adopted a cost-effectiveness approach in relation to presence/absence of perineal tears. Results In the water delivery group 58 women (52.7%) experienced at least one perineal tear versus 80 (72.7%) in the traditional delivery group. The mean duration of labour was similar in the two groups. Neonatal well-being, expressed as Apgar score, did not differ significantly among the two groups at the first minute (9.48 vs. 9.28) and was slightly higher at 5 minutes in the water delivery group (9.95 vs. 9.84; P = 0.0269). Water delivery was found to be both more costly [ΔC = €279; 95% confidence interval (CI): 262–296] and more effective in terms of avoided perineal tears. The incremental health care cost per avoided perineal tear because of water delivery was estimated of €1395.7 (95% CI: 1049.2–3608.5). Conclusion Water birth, as compared with traditional delivery, allows for an increase in maternal well-being and is cost-effective.

Background Conventional analysis of exercise electrocardiogram (EX-ECG) has limited accuracy. This study aims to evaluate the potential impact of improving EX-ECG accuracy on costs of diagnosis and number of misdiagnoses of coronary artery disease (CAD). Methods A decision-tree model was simulated including sequential application of diagnostic procedures for suspected CAD. The model was structured in two main branches (presence or absence of CAD). A probabilistic sensitivity analysis was then performed for several combinations of improvement in test sensitivity and specificity. Results A clear trend in cost reduction was observed at improving EX-ECG specificity (about 8–8.5 million dollars, corresponding to a 5.6–7.6% reduction according to the prevalence level). Wrong diagnoses counted for 9–13% of test. Improvements in test parameters lead to reductions in wrong diagnoses, especially when increasing specificity (8.8–12.5%). Conclusions A proper improvement in EX-ECG sensitivity and specificity would have a relevant impact on the costs of CAD management, while reducing the number of misdiagnoses.