Evaluating hepatitis C cascade of care surveillance system in Tuscany, Italy, through a population retrospective data-linkage study, 2015-2021.

This comprehensive retrospective data-linkage study aimed at evaluating the impact of Direct-Acting Antivirals (DAAs) on Hepatitis C Virus (HCV) testing, treatment trends, and access to care in Tuscany over six years following their introduction. Utilizing administrative healthcare records, our work reveals a substantial increase in HCV tests in 2017, attributed to the decision to provide universal access to treatment. However, despite efforts to eradicate chronic HCV through a government-led plan, the target of treating 6,221 patients annually was not met, and services contracted after 2018, exacerbated by the COVID-19 pandemic. Key findings indicate a higher prevalence of HCV screening among females in the 33-53 age group, influenced by pregnancy-related recommendations, while diagnostic tests and treatment uptake were more common among males. Problematic substance users constituted a significant proportion of those tested and treated, emphasizing their priority in HCV screening. Our paper underscores the need for decentralized HCV models and alternative testing strategies, such as point-of-care assays, especially in populations accessing harm reduction services, communities, and prisons. The study acknowledges limitations in relying solely on administrative records, advocating for improved data access and timely linkages to accurately monitor HCV care cascades and inform regional plans. Despite challenges, the paper demonstrates the value of administrative record linkages in understanding the access to care pathway for hard-to-reach populations. The findings emphasize the importance of the national HCV elimination strategy and the need for enhanced data collection to assess progress accurately, providing insights for future regional and national interventions.

Addressing chronic diseases: a comparative study of policies towards type-2 diabetes and hypertension in selected European countries.

BACKGROUND: Type-2 diabetes (T2D) and hypertension (HTN) are two of the most prevalent non-communicable diseases (NCDs): they both cause a relevant number of premature deaths worldwide and heavily impact the national health systems. This study illustrates the impact of HTN and T2D in four European countries (Albania, Bulgaria, Greece and Spain) and compares their policies towards the monitoring and management of HTN and T2D and the prevention of NCDs as a whole. This analysis is conducted throughout the DigiCare4You Project (H2020)-which implements an innovative solution involving digital tools for the prevention and management of T2D and HTN. METHODS: The analysis is implemented through desk research, and it is enriched with additional information directly provided by the local coordinators in the four countries, by filling specific semi-structured forms. RESULTS: The countries exhibit significant differences in the prevalence of HTN and T2D and available policies and programs targeted to these two chronic conditions. Each country has implemented strategies for HTN and T2D, including prevention initiatives, therapeutic guidelines, educational programs and children's growth monitoring programs. However, patient education on proper disease management needs improvement in all countries, registries about patients affected by HTN and T2D are not always available, and not all countries promoted acts to contain the increasing rates of risk factors related to NCDs. CONCLUSIONS: While political awareness of the risks associated with HTN, T2D and NCDs in general is growing, there is a collective need for countries to strengthen their policies for preventing and managing these chronic diseases.

Utilisation of primary healthcare services by Sjögren's syndrome patients in the Community of Madrid and associated factors: a population-based cross-sectional study.

OBJECTIVES: To describe the utilisation of primary health care (PHC) services and factors associated with its use by patients diagnosed with Sjögren's syndrome (SS). METHODS: Population-based cross-sectional cohort of SS patients in Madrid, Spain (SIERMA). Sociodemographic, diagnostic, clinical and PHC service utilisation variables were studied by bivariate analyses and regression models. RESULTS: A total of 4,778 SS patients were included, 65.2% classified as primary SS (pSS), while 34.8% associated with another autoimmune disease (associated SS). Mean age was 64.3 years, and 92.8% of the patients were women. A total of 87.5% used PHC services, with a mean of 19.8 consultations/year. The general practitioner was the most visited health professional, with a mean of 10.9 consultations/year, followed by the nurse, with a mean of 5.7. Characteristics associated with a greater use of PHC services in SS patients were associated SS, higher adjusted morbidity groups (AMG) risk level and older age. Additional factors included symptoms such as dry mouth, fatigue, dry vagina and joint and muscle pain; comorbidities such as atrial fibrillation, diabetes, hypertension, solid malignant neoplasms, coronary heart disease and chronic obstructive pulmonary disease; and treatments such as sterile saline solution, corticosteroids, opioids and biologic disease-modifying anti-rheumatic drugs. CONCLUSIONS: Most SS patients used PHC services during the study period, and the mean number of consultations was remarkably high. Utilisation was mainly associated with AMG risk level, ageing, glandular and extra-glandular symptoms, substantial comorbidities and various treatments. An optimised design of PHC policies will facilitate early diagnosis, improved management and better quality of life for SS patients.

The management of healthcare employees' job satisfaction: optimization analyses from a series of large-scale surveys.

BACKGROUND: Measuring employees' satisfaction with their jobs and working environment have become increasingly common worldwide. Healthcare organizations are not extraneous to the irreversible trend of measuring employee perceptions to boost performance and improve service provision. Considering the multiplicity of aspects associated with job satisfaction, it is important to provide managers with a method for assessing which elements may carry key relevance. Our study identifies the mix of factors that are associated with an improvement of public healthcare professionals' job satisfaction related to unit, organization, and regional government. Investigating employees' satisfaction and perception about organizational climate with different governance level seems essential in light of extant evidence showing the interconnection as well as the uniqueness of each governance layer in enhancing or threatening motivation and satisfaction. METHODS: This study investigates the correlates of job satisfaction among 73,441 employees in healthcare regional governments in Italy. Across four cross sectional surveys in different healthcare systems, we use an optimization model to identify the most efficient combination of factors that is associated with an increase in employees' satisfaction at three levels, namely one's unit, organization, and regional healthcare system. RESULTS: Findings show that environmental characteristics, organizational management practices, and team coordination mechanisms correlates with professionals' satisfaction. Optimization analyses reveal that improving the planning of activities and tasks in the unit, a sense of being part of a team, and supervisor's managerial competences correlate with a higher satisfaction to work for one's unit. Improving how managers do their job tend to be associated with more satisfaction to work for the organization. CONCLUSIONS: The study unveils commonalities and differences of personnel administration and management across public healthcare systems and provides insights on the role that several layers of governance have in depicting human resource management strategies.

Estimating variations in the use of antibiotics in primary care: Insights from the Tuscany region, Italy.

BACKGROUND: Practice variation is a well-known phenomenon that affects all aspects of healthcare delivery and leads to suboptimal health outcomes as well as poor resource allocation. Given the global rise of antimicrobial resistance, practice variation is of particular concern when it comes to the prescription of antibiotics. A growing number of healthcare systems are tackling this issue at all levels of healthcare governance. AIMS AND OBJECTIVES: This study sought to estimate the variation in antibiotic use across different levels of Tuscany's primary care, and assess the extent to which the organization of primary care delivery is responsible for this variation. METHODS: We analysed the performance and variation for seven indicators related to the use of antibiotics at three levels of healthcare governance: (i) the clinician level (2619 general practitioners [GPs]); (ii) the peer-group level (all 116 GP group practices) and (iii) the institutional level (all 26 health districts). For the statistical analysis, we built three-level mixed effects models that were fitted with 2619 GPs, 116 GP group practices and 26 health districts. RESULTS: The multi-level models suggested that the grand majority of the variation in antibiotic use was located at the GP level (75% to 97%). However, the percentage of variation associated with GP group practices and health districts ranged from 3% to 25%, depending on the type of indicator analysed. CONCLUSION: While the variation was found to be in large part due to differences between GPs themselves, the influence exerted by peer groups and institutional mechanisms does have a significant impact as well. Further research needs to be conducted regarding the institutional and contextual factors that prompt GPs to harmonize their prescribing behaviour in line with best practices and lead to not only improved patient outcomes but also large cost-savings.

Patient-reported experience and health-related quality of life in patients with primary Sjögren's syndrome in Europe.

OBJECTIVES: The study aims to provide novel findings on geographic variation in the management of primary Sjögren's syndrome (pSS) in Europe, an underdiagnosed, long-term autoimmune disease. METHODS: Starting from the lack of comparable information on patients' experience, quality and efficiency of care delivered to pSS patients in Europe, the approach is to collect and analyse patients reported data from an international survey. To assess and compare access and quality of care to pSS along their care-path we developed and validated a questionnaire administered to a large cohort of pSS patients in selected European countries. Regression models have been applied to survey data to compare quality and volumes of care across Europe. RESULTS: Both follow-up and number of visits with a specialist of the patient are influenced by the severity of the disease with differences among countries. The results show some extent of variations in access and treatments delivered to pSS patients and also their perceived quality of life and satisfaction for SS care in Europe. CONCLUSIONS: Findings contribute to support healthcare professionals' decision making and the organisation of care delivery by taking into consideration the patients' point of view and preferences.

Looking for the right balance between human and economic costs during COVID-19 outbreak.

Since the beginning of Coronavirus 2019 (COVID-19) disease outbreak, there has been a heated debate about public health measures, as they can presumably reduce human costs in the short term but can negatively impact economies and well-being over a longer period. MATERIALS AND METHODS: To study the relationship between health and economic impact of COVID-19, we conducted a secondary research on Italian regions, combining official data (mortality due to COVID-19 and contractions in value added of production for a month of lockdown). Then, we added the tertiles of the number of people tested for COVID-19 and those of health aids to evaluate the correspondence with the outcome measures. RESULTS: Five regions out of 20, the most industrialized northern regions, which were affected both earlier and more severely by the outbreak, registered both mortality and economic value loss above the overall medians. The southern regions, which were affected later and less severely, had low mortality and less economic impact. CONCLUSIONS: Our analysis shows that considering health and economic outcomes in the assessment of response to pandemics offers a bigger picture perspective of the outbreak and could allow policymakers and health managers to choose systemic, 'personalized' strategies, in case of a feared second epidemic wave.

International survey of COVID-19 management strategies.

BACKGROUND: While individual countries have gained considerable knowledge and experience in coronavirus disease of 2019 (COVID-19) management, an international, comparative perspective is lacking, particularly regarding the measures taken by different countries to tackle the pandemic. This paper elicits the views of health system staff, tapping into their personal expertise on how the pandemic was initially handled. METHODS: From May to July 2020, we conducted a cross-sectional, online, purpose-designed survey comprising 70 items. Email lists of contacts provided by the International Society for Quality in Health Care, the Italian Network for Safety in Health Care and the Australian Institute of Health Innovation were used to access healthcare professionals and managers across the world. We snowballed the survey to individuals and groups connected to these organizations. Key outcome measures were attitudes and information about institutional approaches taken; media communication; how acute hospitals were re-organized; primary health organization; personal protective equipment; and staffing and training. RESULTS: A total of 1131 survey participants from 97 countries across the World Health Organization (WHO) regions responded to the survey. Responses were from all six WHO regions; 57.9% were female and the majority had 10 or more years of experience in healthcare; almost half (46.5%) were physicians; and all other major clinical professional groups participated. As the pandemic progressed, most countries established an emergency task force, developed communication channels to citizens, organized health services to cope and put in place appropriate measures (e.g. pathways for COVID-19 patients, and testing, screening and tracing procedures). Some countries did this better than others. We found several significant differences between the WHO regions in how they are tackling the pandemic. For instance, while overall most respondents (71.4%) believed that there was an effective plan prior to the outbreak, this was only the case for 31.9% of respondents from the Pan American Health Organization compared with 90.7% of respondents from the South-East Asia Region (SEARO). Issues with swab testing (e.g. delay in communicating the swab outcome) were less frequently reported by respondents from SEARO and the Western Pacific Region compared with other regions. CONCLUSION: The world has progressed in its knowledge and sophistication in tackling the pandemic after early and often substantial obstacles were encountered. Most WHO regions have or are in the process of responding well, although some countries have not yet instituted widespread measures known to support mitigation, for example, effective swab testing and social control measures.

A turnaround strategy: improving equity in order to achieve quality of care and financial sustainability in Italy.

BACKGROUND: Equity, financial sustainability, and quality in healthcare are key goals embraced by universal health systems. However, systematic performance management strategies for achieving equity are still weaker than those aimed at achieving financial sustainability and quality of care. Using a vertical equity perspective, the overarching aim of this paper is to examine how improving equity in quality of care impacts on financial sustainability. We applied a simulation to indicators of the heart failure clinical pathway in Tuscany (central Italy), in order to quantify the equity gaps and financial resources that could be reallocated in the absence of performance inequities. METHODS: The analysis included all patients hospitalized for heart failure as a principal diagnosis in 2014. We selected five indicators: hospitalization rate, 30-day readmission, cardiology visits, and the utilization of beta-blockers, and ACE inhibitors and sartans. For each indicator, the simulation followed three steps: 1) stratification by socioeconomic status (SES), using education as a proxy for SES; 2) computation of the vertical equity indicator; and 3) assessment of the financial value of the equity gap. RESULTS: All indicators showed performance gaps regarding inequities across SES-groups. For the hospitalization rate and 30-day readmission, resources could have been reallocated, if the performance of patients with a low SES had been equal to the performance of patients with a high SES, which amounted to €2,144,422 and €892,790 respectively. In contrast, limited additional resources would have been required for prescriptions and cardiology visits. CONCLUSIONS: Reducing equity gaps by improving the performance of low-SES patients may be a crucial strategy to achieving financial sustainability in universal coverage healthcare systems. Universal healthcare systems, which aim to pursue financial sustainability and quality of care, are thus urged to develop performance management actions to improve equity. This approach should not only include the measurement and public disclosure of equity indicators but be part of a comprehensive evidence-based strategy for the management of chronic conditions along the clinical pathway.

Using a GIS to support the spatial reorganization of outpatient care services delivery in Italy.

BACKGROUND: Studying and measuring accessibility to care services has become a major concern for health care management, particularly since the global financial collapse. This study focuses on Tuscany, an Italian region, which is re-organizing its inpatient and outpatient systems in line with new government regulations. The principal aim of the paper is to illustrate the application of GIS methods with real-world scenarios to provide support to evidence-based planning and resource allocation in healthcare. METHODS: Spatial statistics and geographical analyses were used to provide health care policy makers with a real scenario of accessibility to outpatient clinics. Measures for a geographical potential spatial accessibility index using the two-step floating catchment area method for outpatient services in 2015 were calculated and used to simulate the rationalization and reorganization of outpatient services. Parameters including the distance to outpatient clinics and volumes of activity were taken into account. RESULTS: The spatial accessibility index and the simulation of reorganization in outpatient care delivery are presented through three cases, which highlight three different managerial strategies. The results revealed the municipalities where health policy makers could consider a new spatial location, a shutdown or combining selected outpatient clinics while ensuring equitable access to services. CONCLUSIONS: A GIS-based approach was designed to provide support to healthcare management and policy makers in defining evidence-based actions to guide the reorganization of a regional health care delivery system. The analysis provides an example of how GIS methods can be applied to an integrated framework of administrative health care and geographical data as a valuable instrument to improve the efficiency of healthcare service delivery, in relation to the population's needs.

Socio-demographic determinants of women's satisfaction with prenatal and delivery care services in Italy.

OBJECTIVE: The aim of this study was to examine the extent to which socio-demographic variables affect women's satisfaction regarding antenatal and perinatal care. DESIGN: To take into account the role of the context in shaping women's satisfaction, we used multilevel models, with women at the lower level, and the health districts of residence, or the hospitals in which the delivery took place, at the higher level. SETTING: Tuscany (Italy). PARTICIPANTS: The study is based on a representative survey focused on the satisfaction and experience of 4598 new mothers who gave birth in one of the 25 hospitals in Tuscany (Italy) in 2012. MAIN OUTCOME MEASURES: Women's overall satisfaction in the prenatal period and their overall satisfaction during hospitalization for delivery. RESULTS: Regarding pregnancy, women's satisfaction increased with age, and was generally higher among foreign women coming from non-Western countries and among highly educated women. Regarding delivery, age proved insignificant, whereas citizenship and education maintained the same association with satisfaction. Contrary to our expectations, the number of previous pregnancies turned out to be insignificant. CONCLUSIONS: Our findings suggest that the quality of maternity services was perceived differently in different socio-demographic groups: women's expectations affected satisfaction, but in different ways, in various socio-demographic groups, both during pregnancy and at delivery. Keeping these socio-demographic factors into account in the analysis of satisfaction may help organisations to identify areas where pregnancy and delivery services can be better targeted and where increasing awareness among professionals in their everyday practice is most needed.

Educational level and 30-day outcomes after hospitalization for acute myocardial infarction in Italy.

BACKGROUND: There is a growing interest in the factors that influence short-term mortality and readmission after hospitalization for acute myocardial infarction (AMI) since such outcomes are commonly considered as hospital performance measures. Socioeconomic status (SES) is one of the factors contributing to healthcare outcomes after hospitalization for AMI. However, no study has been published on education and 30-day readmission in Europe. The objective of this study is to examine the association between educational level and 30-day mortality and readmission among patients hospitalized for AMI in Tuscany (Italy). METHODS: A retrospective cohort study using data from hospital discharge records was conducted. The analysis included all patients discharged with a principal diagnosis of AMI between January 1, 2011, and November 30, 2014, from all hospitals in Tuscany. Educational level was categorized as low (no middle school diploma), mid (middle school diploma) and high (high school diploma or more). Three multilevel models were developed, sequentially controlling for patient-level socio-demographic and clinical variables and hospital-level variables. Patients were stratified by age (≤75 and >75 years). RESULTS: Mortality analysis included 23,402 patients, readmission analysis included 22,181 patients. In both unadjusted and full-adjusted models, patients with a high education had lower odds of 30-day mortality compared to those patients with low education (OR age ≤ 75 years 0.67, 95% CI:0.47-0.94; OR age > 75 years 0.72, 95% CI:0.54-0.95). With regard to 30-day readmission, only patients aged over 75 years with a high education had lower odds of short-term readmission compared to those patients with low education (OR age > 75 0.73, 95% CI:0.58-0.93). CONCLUSIONS: Among patients hospitalized in Tuscany for AMI, low levels of education were associated with increased odds of 30-day mortality for both age groups and increased odds of 30-day readmission only for patients aged over 75 years. Our findings suggest that the educational component should not be underestimated in order to improve short-term outcomes, which are considered as performance measures at the hospital level. Hospital managers might consider strategies that are sensitive to patients with low SES, such as providing post-hospitalization support to less-educated patients and promoting a healthier lifestyle, to improve both health equity and performance outcomes.

Gender differences in the relationship between diabetes process of care indicators and cardiovascular outcomes.

BACKGROUND: Adherence to recommended guidelines in the care for diabetes has been demonstrated to significantly prevent the excess risk of hospitalization and mortality for cardiovascular diseases. Aim of this study was to evaluate whether adherence to a standardized process quality-of-care-indicator in diabetes, is able to predict, equally in men and women, first hospitalization or mortality risk after acute myocardial infarction (AMI), ischemic stroke (IS), congestive heart failure (CHF), lower extremity amputations (LEA) or any of above major adverse cardiovascular events (MACE). METHODS: Guideline composite indicator (GCI), a process indicator including one annual assessment of HbA1c and at least two among eye examination, serum lipids measurement and microalbuminuria, was measured in the year 2006 in 91 826 (46 167 M/45 659 F) diabetic patients, living in Tuscany (Italy). By a Cox-proportional hazard regression model, the effect of GCI adherence was assessed on adjusted hospitalization mortality risk for AMI, IS, CHF, LEA and MACE in both genders in a follow-up period of 6 years (2007-12). RESULTS: After adjusting for covariates, adherence to CGI exerted a significant positive effect on AMI, CHF and LEA outcomes among men, whereas among women, GCI adherence significantly decreased hospitalization risk only for CHF and mortality risk after IS. Finally, GCI adherence significantly reduced hospitalization risk for MACE of about 15% and 11% in men and women, respectively. On the contrary, GCI adherence seemed to have no significant influence on mortality risk after hospitalization for MACE in both genders. CONCLUSION: In this cohort, over a 6-year follow-up, GCI adherence was found to be a significant predictor of lower cardiovascular risk, with some evident gender differences.

Basic ICT adoption and use by general practitioners: an analysis of primary care systems in 31 European countries.

BACKGROUND: There is general consensus that appropriate development and use of information and communication technologies (ICT) are crucial in the delivery of effective primary care (PC). Several countries are defining policies to support and promote a structural change of the health care system through the introduction of ICT. This study analyses the state of development of basic ICT in PC systems of 31 European countries with the aim to describe the extent of, and main purposes for, computer use by General Practitioners (GPs) across Europe. Additionally, trends over time have been analysed. METHODS: Descriptive statistical analysis was performed on data from the QUALICOPC (Quality and Costs of Primary Care in Europe) survey, to describe the geographic differences in the general use of computer, and in specific computerized clinical functions for different health-related purposes such as prescribing, medication checking, generating health records and research for medical information on the Internet. RESULTS: While all the countries have achieved a near-universal adoption of a computer in their primary care practices, with only a few countries near or under the boundary of 90 %, the computerisation of primary care clinical functions presents a wide variability of adoption within and among countries and, in several cases (such as in the southern and central-eastern Europe), a large room for improvement. CONCLUSIONS: At European level, more efforts could be done to support southern and central-eastern Europe in closing the gap in adoption and use of ICT in PC. In particular, more attention seems to be need on the current usages of the computer in PC, by focusing policies and actions on the improvement of the appropriate usages that can impact on quality and costs of PC and can facilitate an interconnected health care system. However, policies and investments seem necessary but not sufficient to achieve these goals. Organizational, behavioural and also networking aspects should be taken in consideration.

How do hospitalization experience and institutional characteristics influence inpatient satisfaction? A multilevel approach.

Over the last several years, interest in benchmarking health services' quality--particularly patient satisfaction (PS)--across organizations has increased. Comparing patient experiences of care across hospitals requires risk adjustment to control for important differences in patient case-mix and provider characteristics. This study investigates the individual-level and organizational-level determinants of PS with public hospitals by applying hierarchical models. The analysis focuses on the effect of hospital characteristics, such as self-discharges, on overall evaluations and on across hospital variation in scores. Sociodemographics, admission mode, place of residence, hospitalization ward and continuity of care were statistically significant predictors of inpatient satisfaction. Interestingly, it was observed that hospitals with a higher percentage of Patients Leaving Against Medical Advice (PLAMA) received lower scores. The latter result suggests that the percentage of PLAMA may provide a useful measure of a hospital's inability to meet patient needs and a proxy indicator of PS with hospital care.

Learning prevalent patterns of co-morbidities in multichronic patients using population-based healthcare data.

The prevalence of longstanding chronic diseases has increased worldwide, along with the average age of the population. As a result, an increasing number of people is affected by two or more chronic conditions simultaneously, and healthcare systems are facing the challenge of treating multimorbid patients effectively. Current therapeutic strategies are suited to manage each chronic condition separately, without considering the whole clinical condition of the patient. This approach may lead to suboptimal clinical outcomes and system inefficiencies (e.g. redundant diagnostic tests and inadequate drug prescriptions). We develop a novel methodology based on the joint implementation of data reduction and clustering algorithms to identify patterns of chronic diseases that are likely to co-occur in multichronic patients. We analyse data from a large adult population of multichronic patients living in Tuscany (Italy) in 2019 which was stratified by sex and age classes. Results demonstrate that (i) cardio-metabolic, endocrine, and neuro-degenerative diseases represent a stable pattern of multimorbidity, and (ii) disease prevalence and clustering vary across ages and between women and men. Identifying the most common multichronic profiles can help tailor medical protocols to patients' needs and reduce costs. Furthermore, analysing temporal patterns of disease can refine risk predictions for evolutive chronic conditions.

Measures of quality, costs and equity in primary health care instruments developed to analyse and compare primary care in 35 countries.

BACKGROUND: The Quality and Costs of Primary Care in Europe (QUALICOPC) study aims to analyse and compare how primary health care systems in 35 countries perform in terms of quality, costs and equity. This article answers the question 'How can the organisation and delivery of primary health care and its outcomes be measured through surveys of general practitioners (GPs) and patients?' It will also deal with the process of pooling questions and the subsequent development and application of exclusion criteria to arrive at a set of appropriate questions for a broad international comparative study. METHODS: The development of the questionnaires consisted of four phases: a search for existing validated questionnaires, the classification and selection of relevant questions, shortening of the questionnaires in three consensus rounds and the pilot survey. Consensus was reached on the basis of exclusion criteria (e.g. the applicability for international comparison). Based on the pilot survey, comprehensibility increased and the number of questions was further restricted, as the questionnaires were too long. RESULTS: Four questionnaires were developed: one for GPs, one for patients about their experiences with their GP, another for patients about what they consider important, and a practice questionnaire. The GP questionnaire mainly focused on the structural aspects (e.g. economic conditions) and care processes (e.g. comprehensiveness of services of primary care). The patient experiences questionnaire focused on the care processes and outcomes (e.g. how do patients experience access to care?). The questionnaire about what patients consider important was complementary to the experiences questionnaire, as it enabled weighing the answers from the latter. Finally, the practice questionnaire included questions on practice characteristics. DISCUSSION: The QUALICOPC researchers have developed four questionnaires to characterise the organisation and delivery of primary health care and to compare and analyse the outcomes. Data collected with these instruments will allow us not only to show in detail the variation in process and outcomes of primary health care, but also to explain the differences from features of the (primary) health care system.

Women's choices of hospital for breast cancer surgery in Italy: Quality and equity implications.

This paper employs mixed logit regression to investigate the effects of providers characteristics on women's choice of hospital for breast surgery. Patient level data are used to model choices in Tuscany region, Italy. In particular, we focus on the effects of travel time and hospital quality indicators including quality standard (volumes of breast surgery), measurement of process (waiting times) and quality of surgical procedures. Variation in preferences related to individual characteristics such as age, education and travel distance from the hospital are also considered. Findings show that, on average, women prefer closer hospital with longer waiting times and higher quality (high volumes of interventions). We found preference heterogeneity associated to education: travel distance affects choice especially among less educated women (regardless of age), while among younger women (<65 years), less educated ones prefer shorter waiting times. These results could be used to optimize the allocation of resources toward breast cancer units that meet quality and efficacy standards to increase the efficiency and responsiveness of breast cancer care.

Healthcare costs of diabetic foot disease in Italy: estimates for event and state costs.

OBJECTIVE: This study aimed to estimate healthcare costs of diabetic foot disease (DFD) in a large population-based cohort of people with type-2 diabetes (T2D) in the Tuscany region (Italy). DATA SOURCES/STUDY SETTING: Administrative healthcare data of Tuscany region, with 2018 as the base year. STUDY DESIGN: Retrospective study assessing a longitudinal cohort of patients with T2D. DATA COLLECTION/EXTRACTION METHODS: Using administrative healthcare data, DFD were identified using the International Classification of Diseases, Ninth Revision, Clinical Modification codes. METHODS: We examined the annual healthcare costs of these clinical problems in patients with T2D between 2015 and 2018; moreover, we used a generalized linear model to estimate the total healthcare costs. PRINCIPAL FINDINGS: Between 2015 and 2018, patients with T2D experiencing DFD showed significantly higher average direct costs than patients with T2D without DFD (p < 0.0001). Among patients with T2D experiencing DFD, those who experienced complications either in 2015-2017 and in 2018 incurred the highest incremental costs (incremental cost of € 16,702) followed by those with complications in 2018 only (incremental cost of € 9,536) and from 2015 to 2017 (incremental cost of € 800). CONCLUSIONS: DFD significantly increase healthcare utilization and costs among patients with TD2. Healthcare costs of DFD among patients with T2D are associated with the timing and frequency of DFD. These findings should increase awareness among policymakers regarding resource reallocation toward preventive strategies among patients with T2D.