Out-of-hours primary care services: Demands and patient referral patterns in a Veneto region (Italy) Local Health Authority

open7PURPOSE: The aim of this study was to describe the characteristics of patients admitted to an out-of-hours (OOH) service and to analyze the related outputs. SETTING: A retrospective population-based cohort study was conducted by analyzing an electronic database recording 23,980 OOH service contacts in 2011 at a Local Health Authority in the Veneto Region (North-East Italy). METHOD: A multinomial logistic regression was used to compare the characteristics of contacts handled by the OOH physicians with cases referred to other services. RESULTS: OOH service contact rates were higher for the oldest and youngest age groups and for females rather than males. More than half of the contacts concerned patients who were seen by a OOH physician. More than one in three contacts related problems managed over the phone; only ≈10% of the patients were referred to other services. Many factors, including demographic variables, process-logistic variables and clinical characteristics of the contact, were associated with the decision to visit the patient's home (rather than provide telephone advice alone), or to refer patients to an ED or to a specialist. Our study demonstrated, even after adjusting, certain OOH physicians were more likely than their colleagues to refer a patient to an ED. CONCLUSION: Our study shows that OOH services meet composite and variously expressed demands. The determining factors associated with cases referred to other health care services should be considered when designing clinical pathways in order to ensure a continuity of care. The unwarranted variability in OOH physicians' performance needs to be addressed.Purpose: The aim of this study was to describe the characteristics of patients admitted to an out-of-hours (OOH) service and to analyze the related outputs. Setting: A retrospective population-based cohort study was conducted by analyzing an electronic database recording 23,980 OOH service contacts in 2011 at a Local Health Authority in the Veneto Region (North-East Italy). Method: A multinomial logistic regression was used to compare the characteristics of contacts handled by the OOH physicians with cases referred to other services. Results: OOH service contact rates were higher for the oldest and youngest age groups and for females rather than males. More than half of the contacts concerned patients who were seen by a OOH physician. More than one in three contacts related problems managed over the phone; only ≈10% of the patients were referred to other services. Many factors, including demographic variables, process-logistic variables and clinical characteristics of the contact, were associated with the decision to visit the patient's home (rather than provide telephone advice alone), or to refer patients to an ED or to a specialist. Our study demonstrated, even after adjusting, certain OOH physicians were more likely than their colleagues to refer a patient to an ED. Conclusion: Our study shows that OOH services meet composite and variously expressed demands. The determining factors associated with cases referred to other health care services should be considered when designing clinical pathways in order to ensure a continuity of care. The unwarranted variability in OOH physicians' performance needs to be addressed.openBuja, Alessandra; Toffanin, R; Rigon, S; Sandona', Paolo; Carraro, D; Damiani, G; Baldo, VincenzoBuja, Alessandra; Toffanin, R; Rigon, S; Sandona', Paolo; Carraro, D; Damiani, G; Baldo, Vincenz

A derivative-free approach for a simulation-based optimization problem in healthcare

Hospitals have been challenged in recent years to deliver high quality care with limited resources. Given the pressure to contain costs,developing procedures for optimal resource allocation becomes more and more critical in this context. Indeed, under/overutilization of emergency room and ward resources can either compromise a hospital's ability to provide the best possible care, or result in precious funding going toward underutilized resources. Simulation--based optimization tools then help facilitating the planning and management of hospital services, by maximizing/minimizing some specific indices (e.g. net profit) subject to given clinical and economical constraints. In this work, we develop a simulation--based optimization approach for the resource planning of a specific hospital ward. At each step, we first consider a suitably chosen resource setting and evaluate both efficiency and satisfaction of the restrictions by means of a discrete--event simulation model. Then, taking into account the information obtained by the simulation process, we use a derivative--free optimization algorithm to modify the given setting. We report results for a real--world problem coming from the obstetrics ward of an Italian hospital showing both the effectiveness and the efficiency of the proposed approach

Developing a combined quantitative benchmarking system for the performance of local health authorities: The case of the Tuscany Region in Italy

This paper proposes an integrated quantitative benchmarking approach for the measurement of the performance of Local Health Authorities (LHAs). It is based on a sound balanced scorecard approach developed and implemented in the Tuscany Region by the Management and Health Laboratory of Sant’Anna School combined with a bias corrected measure of technical efficiency, estimated using a bootstrap based Data Envelopment Analysis. The empirical results show that the typical LHA in Tuscany experienced 14% bias-corrected inefficiency in 2007. Using correlation analysis and mapping quadrants, the paper shows the relationships among technical efficiency and quality and appropriateness as well as analyses the impact of organizational factors on the performance of LHAs. Finally, this combined benchmarking approach is illustrated as a useful and important managerial tool both for regional and local authorities.appropriateness, bias correction, data envelopment analysis, local health authorities, performance evaluation system

International Profiles of Health Care Systems

Compares the healthcare systems of Australia, Canada, Denmark, England, France, Germany, Italy, the Netherlands, New Zealand, Norway, Sweden, Switzerland, and the United States, including spending, use of health information technology, and coverage

Family Views of End-of-Life Care in Acute and Community Hospitals

The Hospice friendly Hospitals Programme (HfH) commissioned this study to assess the quality of end-of-life care in acute and community hospitals from the perspectives of bereaved relatives. A major rationale for the study was to develop and test methodology to survey bereaved relatives' views of end-of-life care that covers the HfH Programme themes of Integrated Care, Communication, Patient Autonomy and Design & Dignity. Another driver was to inform the set-up of a Nationwide Audit of End-of-Life Care (McKeown et al., 2010).The overall aim of the study was to assess the quality of end-of-life care in two acute and two community hospitals from the perspectives of bereaved relatives. Study subobjectives were to conduct a literature review to ascertain important ethical and methodological issues; to describe a census of deaths across study sites; to field test a survey instrument aimed evaluating the impact of the Hospice friendly Hospitals (HfH) Programme; to collect data about HfH Programme themes; and to establish if there were any differences in the pattern of results between acute and community hospitals

International Profiles of Health Care Systems, 2011

This publication presents overviews of the health care systems of Australia, Canada, Denmark, England, France, Germany, Japan, Italy, the Netherlands, New Zealand, Norway, Sweden, Switzerland, and the United States. Each overview covers health insurance, public and private financing, health system organization, quality of care, health disparities, efficiency and integration, use of health information technology, use of evidence-based practice, cost containment, and recent reforms and innovations. In addition, summary tables provide data on a number of key health system characteristics and performance indicators, including overall health care spending, hospital spending and utilization, health care access, patient safety, care coordination, chronic care management, disease prevention, capacity for quality improvement, and public views

Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region

Emergency Medical Services (EMS) are crucial in delivering timely and effective medical care to patients in need. However, the complex and dynamic nature of operations poses challenges for decision-making processes at strategic, tactical, and operational levels. This paper proposes an action-driven strategy for EMS management, employing a multi-objective optimizer and a simulator to evaluate potential outcomes of decisions. The approach combines historical data with dynamic simulations and multi-objective optimization techniques to inform decision-makers and improve the overall performance of the system. The research focuses on the Friuli Venezia Giulia region in north-eastern Italy. The region encompasses various landscapes and demographic situations that challenge fairness and equity in service access. Similar challenges are faced in other regions with comparable characteristics. The Decision Support System developed in this work accurately models the real-world system and provides valuable feedback and suggestions to EMS professionals, enabling them to make informed decisions and enhance the efficiency and fairness of the system