Impact of different follow-up regimens on health-related quality of life and costs in endometrial cancer patients: Results from the TOTEM randomized trial.

PURPOSE: To investigate whether intensive follow-up (INT) after surgery for endometrial cancer impact health-related quality of life (HRQoL) and healthcare costs compared to minimalist follow-up (MIN), in the absence of evidence supporting any benefit on 5-year overall survival. METHODS: In the TOTEM trial, HRQoL was assessed using the SF-12 and the Psychological General Well-Being (PGWB) questionnaires at baseline, after 6 and 12 months and then annually up to 5 years of follow-up. Costs were analyzed after 4 years of follow-up from a National Health Service perspective, stratified by risk level. The probability of missing data was analyzed for both endpoints. RESULTS: 1847 patients were included in the analyses. The probability of missing data was not influenced by the study arms (MIN vs INT OR: 0.97 95%CI: 0.87-1.08). Longitudinal changes in HRQoL scores did not differ between the two follow-up regimens (MIN vs INT SF-12 PCS: -0.573, CI95%: -1.31; 0.16; SF-12 MCS: -0.243, CI95%: -1.08; 0.59; PGWB: -0.057, CI95%: -0,88; 0,77). The mean cost difference between the intensive and minimalist arm was €531 for low-risk patients and €683 for high-risk patients. CONCLUSION: In the follow-up of endometrial cancer after surgery, a minimalist treatment regimen did not affect quality of life and was cost-saving in both low-risk and high-risk recurrence patients. As previous results showed no survival benefit, a minimalist approach is justified. The relevant proportion of missing data on secondary outcomes of interest could be a critical point that deserves special attention.

Implementing Enhanced Recovery After Surgery for hysterectomy in a hospital network with audit and feedback: A stepped-wedge cluster randomised trial.

OBJECTIVE: To evaluate the effectiveness of implementing the Enhanced Recovery After Surgery (ERAS) protocol in patients undergoing elective hysterectomy in a network of regional hospitals, supported by an intensive audit-and-feedback (A&F) approach. DESIGN: A multi-centre, stepped-wedge cluster randomised trial (ClinicalTrials.gov NCT04063072). SETTING: Gynaecological units in the Piemonte region, Italy. POPULATION: Patients undergoing elective hysterectomy, either for cancer or for benign conditions. METHODS: Twenty-three units (clusters), stratified by surgical volume, were randomised into four sequences. At baseline (first 3 months), standard care was continued in all units. Subsequently, the four sequences implemented the ERAS protocol successively every 3 months, after specific training. By the end of the study, each unit had a period in which standard care was maintained (control) and a period in which the protocol, supported by feedback, was applied (experimental). MAIN OUTCOME MEASURES: Length of hospital stay (LOS), without outliers (>98th percentile). RESULTS: Between September 2019 and May 2021, 2086 patients were included in the main analysis with an intention-to-treat approach: 1104 (53%) in the control period and 982 (47%) in the ERAS period. Compliance with the ERAS protocol increased from 60% in the control period to 76% in the experimental period, with an adjusted absolute difference of +13.3% (95% CI 11.6% to 15.0%). LOS, moving from 3.5 to 3.2 days, did not show a significant reduction (-0.12 days; 95% CI -0.30 to 0.07 days). No difference was observed in the occurrence of complications. CONCLUSIONS: Implementation of the ERAS protocol for hysterectomy at the regional level, supported by an A&F approach, resulted in a substantial improvement in compliance, but without meaningful effects on LOS and complications. This study confirms the effectiveness of A&F in promoting important innovations in an entire hospital network and suggests the need of a higher compliance with the ERAS protocol to obtain valuable improvements in clinical outcomes.

[How to optimize Audit&Feedback: experience from the EASY-NET programme]. / Come rendere più efficace l'Audit&Feedback: riflessioni dal programma di rete EASY-NET.

This is the second of a series of papers dedicated to the EASY-NET research programme (NET-2016-02364191). The rationale, structure and methodologies are described in the previous contribution. Scientific literature demonstrated that Audit & Feedback (A&F) is an effective strategy for continuous quality improvement and its effectiveness varies considerably according to factors that are currently little known. Some recent publication pointed out, with the contribution of an international group of experts, 15 suggestions to optimize A&F and developed a tool to evaluate their application. This tool, called REFLECT-52, includes 52 items related to the 15 suggestions and organized into four categories relating to the "Nature of the desired action", to the "Nature of the data available for feedback", to the "Feedback Display" and to the "Intervention delivery". Then, the aim of this work was to evaluate the level of adherence of A&F interventions tested in EASY-NET to suggestions from the literature by using a slightly adapted version of the REFLECT-52 tool, in its original language. In EASY-NET, 14 A&F interventions with different characteristics and in different clinical and organizational contexts were tested in seven Italian regions, each of these was evaluated by the respective research groups. Overall, the level of adherence was high in three of the four categories analysed, with some difficulties reported regarding the nature of the data available for feedback. In fact, contrary to what the literature suggests, it was not possible to send repeated feedback for some interventions and, in some cases, the data available for feedback presented a delay longer than one year. In summary, this analysis has confirmed a high level of compliance of the interventions tested with the suggestions from the literature, but it has also allowed researchers to identify critical aspects that need to be addressed for the future development of these strategies.

Health-related quality of life for normal glycaemia, prediabetes and type 2 diabetes mellitus: Cross-sectional analysis of the ADDITION-PRO study.

AIMS: We estimated and compared health-related quality of life for individuals with normal glucose tolerance, prediabetes and diabetes. METHODS: Participants in the ADDITION-PRO study, Denmark, who attended a health assessment between 2009 and 2011, and who completed the 3-level EuroQoL 5-dimensions (EQ-5D-3L) questionnaire were included. For the present study, they were classified as normal glucose tolerance, prediabetes and diabetes (screen-detected and known) using the 2019 American Diabetes Association criteria. Prediabetes was defined as impaired fasting glucose, impaired glucose tolerance or HbA1c between 5.7-6.4% (39-47 mmol/mol). EQ-5D-3L data were converted into utility scores using Danish and UK values, where '1' equals full health and '0' equals death. Regression models estimated the association between utility and the different glucose health states. RESULTS: The mean EQ-5D-3L score in the sample population was 0.86 ± 0.17 (median 0.85, interquartile range 0.76 to 1) using UK values. Almost half of the sample (48%) reported full health with an EQ-5D score of '1'. Individuals with known diabetes reported the lowest EQ-5D-3L utility scores (0.81 ± 0.20), followed by individuals with screen-detected diabetes (0.85 ± 0.19), prediabetes (0.86 ± 0.17) and normal glucose tolerance (0.90 ± 0.15). The differences were statistically significant for normal glucose and known diabetes relative to prediabetes, after adjusting for sex, age, smoking, BMI and physical activity. These findings also held using Danish values albeit the differences were of smaller magnitude. CONCLUSIONS: Having prediabetes and diabetes was significantly associated with lower health-related quality of life relative to normal glucose tolerance. Our estimates will be useful to inform the value of interventions to prevent diabetes or prediabetes.

Prediction of mortality and major cardiovascular complications in type 2 diabetes: External validation of UK Prospective Diabetes Study outcomes model version 2 in two European observational cohorts.

AIM: To externally validate the UK Prospective Diabetes Study Outcomes Model version 2 (UKPDS-OM2) 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) cohort (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 the CMS and 0.12 in the 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. CHF incidence was predicted well for the DCS (5 years bias -0.001), but underestimated for the CMS cohort. CONCLUSIONS: The 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.

[A&F to monitor and promote quality in healthcare during the COVID-19 emergency: the EASY-NET work]. / A&F per il monitoraggio e la promozione della qualità delle cure in emergenza COVID-19: il lavoro di EASY-NET.

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 (A&F) 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 A&F 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 A&F 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 A&F procedures which had already been tested before the start of the epidemic.

[Covid-19 and clinical-epidemiological research in Italy: proposal of a research agenda on priority topics by the Italian association of epidemiology]. / Covid-19 e ricerca clinico-epidemiologica in Italia: proposta di un'agenda di ricerca su temi prioritari da parte dell'Associazione italiana di epidemiologia.

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 or case-control studies). OBJECTIVES: in response to the fragmented and uncoordinated research 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.

Clinical and epidemiological characteristics associated with pneumonia at disease onset in patients admitted for COVID-19 to the Emergency Department of a large Hospital in Piedmont (North-Western Italy).

OBJECTIVES: to explore clinical and epidemiological characteristics associated with an imaging feature of COVID-19 pneumonia at disease onset, in order to identify factors that may be evaluable by general practitioners at patient's home, and which may lead to identify a more severe disease, needing hospitalization. DESIGN: this is a retrospective/prospective observational hospital cohort. SETTING AND PARTICIPANTS: the study population includes all patients consecutively admitted to the emergency department of Città della salute e della scienza University Hospital from 01.03 to 31.05.2020 with a confirmed diagnosis of SARS-CoV-2 infection. MAIN OUTCOME MEASURES: patients were classified in two groups according to the findings of X-ray imaging, lung ultrasound and chest computer tomography, as pneumonia or not pneumonia patients. RESULTS: in multivariable analysis, factors most strongly associated with emergency department admission with pneumonia were age, oxygen saturation <90% (adj OR 4.16 ;95%CI 1.44-12.07), respiratory rate >24 breaths/min (adj OR 6.50; 95%CI 2.36-17.87), fever ≥38° (adj OR 3.05; 95%CI 1.53-6.08) and the presence of gastroenteric symptoms (vomiting and diarrhea). A delay (> 7 days) between the appearance of the initial lung symptoms (cough and dyspnea) and the admission to the emergency department was also related to a higher probability of receiving a positive imaging report (OR 4.99; 95%CI 2,02-12,34). CONCLUSIONS: in order to reorganize the management of COVID-19 patients in Italy, in view of the risk of a second wave of epidemic or of local outbreaks, it would be desirable to relocate the triage, and possibly the patient's care, from hospital to home. In this scenario it is important to identify all symptoms and signs associated with COVID-19 pneumonia that would facilitate the decision-making process of GPs leading to patients hospitalization.

Decision models of prediabetes populations: A systematic review.

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.

Protocols for early discharging of premature infants: an empirical assessment on safety and savings.

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.

[Diagnostic imaging procedures and prescribing appropriateness: are administrative data a proper instrument? An experience from Piedmont Region (Northern Italy)]. / Diagnostica per immagini e appropriatezza prescrittiva: i dati amministrativi possono essere uno strumento informativo adeguato? Un'esperienza nella Regione Piemonte.

OBJECTIVES: 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. DESIGN: population-based observational study. SETTING AND PARTICIPANTS: 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). MAIN OUTCOME MEASURES: 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. RESULTS: 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. CONCLUSIONS: 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.

Is Ovarian Cancer Being Managed According to Clinical Guidelines? Evidence From a Population-Based Clinical Audit.

BACKGROUND: In 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 METHODS: Residents 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. RESULTS: The 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). CONCLUSIONS: Results 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.

Economic Considerations on the Follow-Up Practice in Gynecologic Cancers: Few Lights and Many Shadows From a Literature Review.

OBJECTIVE: The aim of this review was to analyze the existing literature on the cost of follow-up in gynecology oncology. METHODS/MATERIALS: We performed a literature search in Medline and NHS CRD (University of Oxford) databases. Research strings were mainly based on MESH terms referring to economic studies and to neoplasms follow-up/aftercare and cancer recurrences. Two independent searches were performed for ovarian neoplasm and uterine neoplasm. Some studies were also identified among the references of the selected articles. Potentially relevant studies were identified based on the title and abstract by 2 independent readers. RESULTS: Finally, the reviewing process selected 2 studies on gynecologic cancers in general, including uterine and ovarian cancers, 3 specific on ovarian cancer, 7 on endometrium, and 9 on cervix. The identified economic literature on economic evaluation of gynecologic cancer follow-up procedures showed to be based on weak evidence of effectiveness and to lack formal methodological approaches. In general, such literature is quite recent, relies on small sample observational studies, and suffers from a lack of financial support. CONCLUSIONS: There are few available lights in economic considerations on gynecologic cancer follow-up, represented by all the published studies, and many shadows that require to be clarified by properly designed randomized trials including cost-effectiveness analysis.

Is the choice of the statistical model relevant in the cost estimation of patients with chronic diseases? An empirical approach by the Piedmont Diabetes Registry.

BACKGROUND: Chronic diseases impose large economic burdens. Cost analysis is not straightforward, particularly when the goal is to relate costs to specific patterns of covariates, and to compare costs between diseased and healthy populations. Using different statistical methods this study describes the impact on results and conclusions of analyzing health care costs in a population with diabetes. METHODS: Direct health care costs of people living in Turin were estimated from administrative databases of the Regional Health System. Patients with diabetes were identified through the Piedmont Diabetes Registry. The effect of diabetes on mean annual expenditure was analyzed using the following multivariable models: 1) an ordinary least squares regression (OLS); 2) a lognormal linear regression model; 3) a generalized linear model (GLM) with gamma distribution. Presence of zero cost observation was handled by means of a two part model. RESULTS: The OLS provides the effect of covariates in terms of absolute additive costs due to the presence of diabetes (€ 1,832). Lognormal and GLM provide relative estimates of the effect: the cost for diabetes would be six fold that for non diabetes patients calculated with the lognormal. The same data give a 2.6-fold increase if calculated with the GLM. Different methods provide quite different estimated costs for patients with and without diabetes, and different costs ratios between them, ranging from 3.2 to 5.6. CONCLUSIONS: Costs estimates of a chronic disease vary considerably depending on the statistical method employed; therefore a careful choice of methods to analyze data is required before inferring results.

[Reducing non-communicable diseases and health care costs: building a prevention alliance]. / Un laboratorio di prevenzione quale strumento per ridurre le malattie croniche non trasmissibili e la spesa sanitaria.

In Italy, as well as in most European Countries, the loss of almost 70% of the years of life is attributable to cerebro-cardiovascular diseases and cancers. Whereas the Italian population is expected to grow older, with a significant increase in the burden of chronic non-communicable diseases, the reduction in incidence of chronic diseases and the compression of morbidity are priorities. This is the reason why in Italy the implementation of the National Plan for Prevention and related regional plans becomes necessary, as it can promote the co-operation of multidisciplinary skills in several areas: political, health, economic, legal, sociological. In Piedmont (Northern Italy), it seems useful the creation of a regional Laboratory of prevention,which provides support for the development and implementation of the regional prevention plan, through actions and programmes based on cost-effectiveness analyses. The use of resources in prevention should not be exclusively interpreted as a cost, but as an investment, which, in some cases, can become an avoided cost. Using prevention policies makes it possible to gain years of healthy life and to potentially reduce the cost of healthcare system. The creation of the Laboratory of prevention is a multidisciplinary context, so it is an opportunity to involve the stakeholders in order to achieve the regional health objectives.

The economic burden of caregiving on families of children and adolescents with cancer: a population-based assessment.

BACKGROUND: Childhood cancer represents a relevant economic burden on families. The preferred tool to investigate family expenditure is the retrospective questionnaire, which is subject to recall errors and selection bias. Therefore, in the present study the economic burden of caregiving on families of children and adolescents (0-19 years of age) with cancer was analysed using administrative data as an alternative to retrospective questionnaires. PROCEDURE: Incident cases of cancer diagnosed in children and adolescents in 2000-2005 (N = 917) were identified from the Piedmont Childhood Cancer Registry and linked to available administrative databases to identify episodes of care during the 3 years after diagnosis (N = 13,433). The opportunity cost of informal caregiving was estimated as the value of the time spent by one of the parents, and was assumed to be equal to the number of days during which the child received inpatient care, day-care or outpatient radiotherapy. Factors affecting the level of economic burden of caregiving on families were analysed in a multivariable model. RESULTS: The economic burden of caregiving increased when care was supplied at the Regional Referral Centre, or when treatment complexity was high. Families with younger children had a higher level of economic burden of caregiving. Leukaemia required a higher family commitment than any other cancer considered. CONCLUSIONS: Estimates of the economic burden of caregiving on families of children and adolescents with cancer derived from administrative data should be considered a minimum burden. The estimated effect of the covariates is informative for healthcare decision-makers in planning support programmes.

Implementation of an enhanced recovery after surgery protocol for colorectal cancer in a regional hospital network supported by audit and feedback: a stepped wedge, cluster randomised trial.

BACKGROUND: Enhanced recovery after surgery (ERAS) protocols are known to potentially improve the management and outcomes of patients undergoing colorectal surgery, with limited evidence of their implementation in hospital networks and in a large population. We aimed to assess the impact of the implementation of an ERAS protocol in colorectal cancer surgery in the entire region of Piemonte, Italy, supported by an audit and feedback (A&F) intervention. METHODS: A large, stepped wedge, cluster randomised trial enrolled patients scheduled for elective surgery at 29 general surgery units (clusters). At baseline (first 3 months), standard care was continued in all units. Thereafter, four groups of clusters began to adopt the ERAS protocol successively. By the end of the study, each cluster had a period in which standard care was maintained (control) and a period in which the protocol was applied (experimental). ERAS implementation was supported by initial training and A&F initiatives. The primary endpoint was length of stay (LOS) without outliers (>94th percentile), and the secondary endpoints were outliers for LOS, postoperative medical and surgical complications, quality of recovery and compliance with ERAS items. RESULTS: Of 2626 randomised patients, 2397 were included in the LOS analysis (1060 in the control period and 1337 in the experimental period). The mean LOS without outliers was 8.5 days during the control period (SD 3.9) and 7.5 (SD 3.5) during the experimental one. The adjusted difference between the two periods was a reduction of -0.58 days (95% CI -1.07, -0.09; p=0.021). The compliance with ERAS items increased from 52.4% to 67.3% (estimated absolute difference +13%; 95% CI 11.4%, 14.7%). No difference in the occurrence of complications was evidenced (OR 1.22; 95% CI 0.89, 1.68). CONCLUSION: Implementation of the ERAS protocol for colorectal cancer, supported by A&F approach, led to a substantial improvement in compliance and a reduction in LOS, without meaningful effects on complications. Trial registration number NCT04037787.

Hospitalization rates and cost in severe or complicated obesity: an Italian cohort study.

BACKGROUND: The economic and social costs of obesity are estimated to be considerable, particularly for inpatient care. The aim of this study was to compare the hospitalization rates of individuals with severe (body mass index [BMI] ≥40 kg/m2) or complicated (BMI ≥30 kg/m2) obesity with those of the general population in two regions of Northwest Italy, and to describe absolute costs of hospitalization and their determinants. METHODS: Between 1996 and 2002, 6,516 patients who were admitted for the first time to a hospital offering a nutritional rehabilitation programme for obesity were enrolled and followed-up (mean follow-up time: 7.3 years). Standardized hospitalization rates (SHRs) were computed by sex for all-cause and cause-specific hospitalization. The general population of the two regions was used as the reference population. The annual cost of hospitalization was estimated for the study cohort only at the individual level, and its association with different determinants was assessed using a multivariable linear model for longitudinal data. RESULTS: SHRs of the study cohort versus the general population increased for all-cause hospitalization (males: 3.53, 95% CI 3.45-3.61; females: 3.22, 95% CI 3.18-3.26) as well as for most obesity-related conditions. The absolute median annual cost of hospitalization was 2,436 euros for males and 2,293 euros for females. Older age at cohort enrolment, BMI ≥40 kg/m2, waist circumference above the median (males: 1.26 metres; females: 1.13 metres), and the presence of co-morbidities, such as cardiovascular diseases, respiratory diseases, cancer, diseases of the musculoskeletal system and connective tissue, and mental disorders, significantly increased the absolute median annual costs of hospitalization. CONCLUSIONS: The economic consequences of high hospitalization rates in obese individuals are relevant. Reducing the occurrence of co-morbidities among obese persons may be one important goal, not only for clinical reasons, but also from a public health point of view.

Compliance with clinical practice guidelines for breast cancer treatment: a population-based study of quality-of-care indicators in Italy.

BACKGROUND: It has been documented that variations exist in breast cancer treatment despite wide dissemination of clinical practice guidelines. The aim of this population-based study was to evaluate the impact of regional guidelines (Piedmont guidelines, PGL) for breast cancer diagnosis and treatment on quality-of-care indicators in the Northwestern Italian region of Piedmont. METHODS: We included two samples of women aged 50-69 years with incident breast cancer treated in Piedmont before and after the introduction of PGL: 600 in 2002 (pre-PGL) and 621 in 2004 (post-PGL). Patients were randomly selected among all incident breast cancer cases identified through the hospital discharge records database. We extracted clinical data on breast cancer cases from medical charts and ascertained vital status through linkage with town offices. We assessed compliance with 14 quality-of-care indicators from PGL recommendations, before and after their introduction in clinical practice. RESULTS: Among patients with invasive lesions, 77.1% (N = 368) and 77.5% (N = 383) in the pre-PGL and post-PGL groups, respectively, received breast conservative surgery (BCS) as a first-line treatment. Following BCS, 87.7% received radiotherapy in 2002, compared to 87.9% in 2004. Of all patients at medium-to-high risk of distant metastasis, 65.5% (N = 268) and 63.6% (N = 252) received chemotherapy in 2002 and in 2004, respectively. Among the 117 patients with invasive lesions and negative estrogen receptor status in 2002, hormonal therapy was prescribed in 23 of them (19.6%). The incorrect prescription of hormonal therapy decreased to 10.8% (N = 10) among the 92 estrogen receptor-negative patients in 2004 (p < 0.01).Compliance with PGL recommendations was already high in the pre-PGL group, although some quality-of-care indicators did not reach the standard. In the pre/post analysis, 8 out of 14 quality-of-care indicators showed an improvement from 2002 to 2004, but only 4 out of 14 reached statistical significance. We did not find any change in the risk of mortality in the post-PGL versus the pre-PGL group (adjusted hazard ratio 0.94, 95%CI 0.56-1.56). CONCLUSIONS: These results highlight the need to continue to improve breast cancer care and to measure adherence to PGL.