Including environmental and social sustainability in the planning process of healthcare services: A case study of cancer screening programs in an inner area in Italy.

Healthcare systems plan their activities to achieve efficiency and effectiveness, without addressing environmental and social sustainability. This paper describes a new approach adopted in Italy to plan and deliver health prevention services in an inner area of the Tuscany region (in Italy) to guarantee proximity of care and environmental and social sustainability. The project examines the design and delivery of cancer screening programmes using a mobile screening unit to maximise social benefits while minimising environmental waste. A cost analysis was developed to estimate the difference in CO2 equivalent emissions, travel costs, and productivity losses, comparing the current screening programmes against the introduction of a comprehensive full-service mobile screening unit. The results indicate that the new service model reduces direct non-medical costs incurred by the population and improves environmental sustainability. This alternative can reduce, annually, over 95,000 euros in terms of travel costs and productivity losses, as well as 35 tons of CO2-equivalent travel emissions for a population of 59,000 inhabitants in a mountainous area with around 6000 people involved in the screening programme. The study supports the need to adopt a new planning methodology that considers environmental, social, and financial sustainability jointly in the provision of public health services in rural areas.

The Fondazione Toscana Gabriele Monasterio app: a digital health system to improve wellbeing of inpatients with heart or lung disease.

BACKGROUND: An app providing material for education and entertaining is a possible way to support patients and healthcare providers in achieving person-centered care. METHODS: An app tailored on the Fondazione Toscana Gabriele Monasterio (FTGM), a research hospital treating cardiac and lung disorders, was created. A pilot evaluation project was conducted on consecutive patients hospitalized for heart or lung disorders. Patients were asked to complete an assessment questionnaire. RESULTS: The FTGM app provides information on diagnostic and therapeutic investigations, hospital and healthcare personnel, and includes content for entertainment and learning. It was tested on 215 consecutive patients (75% men, 66% aged >60 years, and 40% with a primary or middle school degree). Sixty-nine percentage of patients used the FTGM app, including 67% of patients aged >80 years and 65% of those with an elementary education (65%). Patients gave positive feedback on the app layout. Many (76%) looked for information on doctors and nurses in the 'People' section. Sixty-five percent of responders had used at least one of the sections called 'Music' and 'Museum visits'. The app helped many patients perceive the hospital as a more liveable place (68%), and to feel less anxious (76%), and more engaged in the diagnostic and therapeutic workup (65%). Overall, the majority of responders (87%) rated the app as 'excellent' or 'good', and almost all (95%) would have recommended other patients to use the app. CONCLUSIONS: The FTGM app is a possible tool to improve patient wellbeing during hospitalization.

Screening the health status of people working in a university.

BACKGROUND: We aimed to evaluate the physical and mental well being of people working in our academic institution. METHODS: This online survey targeted professors ( n  = 108), researchers ( n  = 78), technical and administrative staff ( n  = 279) working in the Scuola Superiore Sant'Anna (Pisa, Italy). Twenty-four multiple-choice questions explored the physical and mental health status, the main cardiovascular risk factors and levels of physical activity, the risk of cancer, and eating and drinking habits. RESULTS: Over 1 week, 112 participants out of 465 (24%) completed the survey [69% women, median age 43 years (interquartile range 33-53)]. The physical and mental health were judged as 'poor' by 5% and 13%. Many individuals had at least one cardiovascular risk factor (diabetes, 4%; hypertension, 10%; family history of coronary artery disease before 40 years, 21%; hypercholesterolemia, 24%; current or former smoking habit, 39%), and 6% had all of them. Many participants were rather sedentary: for example, 44% never or hardly ever walked at a quick pace for ≥20 min. As for eating and drinking habits, 36% ate sweets five or six times a week or every day, 15% drank beer and/or wine at least five or six times a week, and 5% drank spirits three or four times a week. CONCLUSIONS: A small but not negligeable proportion of responders complained of 'poor' health, and 65% had at least one cardiovascular risk factor. The global levels of physical activity and eating and drinking habits were globally suboptimal. Educational and screening activities to improve the wellbeing of people working in academia are advisable.

Unmet needs in end-of-life care for heart failure patients.

OBJECTIVE: To investigate end-of-life (EoL) care for heart failure (HF) in Tuscany (Italy) from healthcare professionals' perspective and identify areas for intervention. METHODS: All the directors of Cardiology units (n = 29) and palliative care (PC) units (n = 14) in Tuscany were surveyed on the practices of EoL care. RESULTS: Forty-five percent of cardiologists reported that their hospital had some EoL care services for HF patients. However, 75% did not have a multidisciplinary team providing EoL care for HF patients. Sixty-four percent stated that <25% of patients who might benefit from PC did receive it, and 18% stated that no patient received PC. For most of PC specialists, HF patients accounted for <25% of their patients. PC specialists believed that patients with cancer diseases were much more likely to receive PC than HF patients at EoL, and 36% judged that almost no HF patients were timely referred to hospice care. The majority of PC specialists reported that almost no HF patient prepared advance healthcare directives, as opposite to 57% for cancer patients, suggesting poor understanding or acceptance of their terminal condition. CONCLUSIONS: The management of HF patients in the EoL stage in Tuscany is often suboptimal. EoL care should be implemented to ensure an adequate quality of life to these patients.

Patient-reported outcome measures for transthyretin cardiac amyloidosis: the ITALY study.

BACKGROUND: Transthyretin cardiac amyloidosis (ATTR-CA) has a deep impact on the quality of life (QoL), yet no specific patient-reported outcome measures (PROMs) for ATTR-CA exist. METHODS: The ITALY study involved 5 Italian referral centres (Pisa, Pavia, Ferrara, Florence, Messina) enrolling consecutive outpatients with ATTR-CA. RESULTS: Two 30-item questionnaires were created for wild-type (wt) and variant (v) ATTR-CA. Scores ranged from 100 (best condition) to 0 (worst condition). Out of 140 patients enrolled (77% with ATTRwt-CA), 115 repeated the re-evaluation at 6 months. At baseline, only 30% of patients needed help to fill out the questionnaires. Among baseline variables, all KCCQ and SF-36 domains were univariate predictors of ITALY scores in ATTRwt-CA patients, with the KCCQ Symptom Summary score (beta coefficient 0.759), Social Limitations (0.781), and Overall summary score (0.786) being the strongest predictors. The SF-36 Emotional well-being score (0.608), the KCCQ Overall summary score (0.656), and the SF-36 Energy/fatigue score (0.669) were the strongest univariate predictors of ITALY scores in ATTRv-CA. Similar results were found at 6 months. CONCLUSIONS: The ITALY questionnaires are the first specific PROMs for ATTRwt- and ATTRv-CA. Questionnaire completion is feasible. ITALY scores display close relationships with non-ATTR-specific measures of QoL.

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.

Does the healthcare system know what to cut under the pandemic emergency pressure? An observational study on geographic variation of surgical procedures in Italy.

OBJECTIVES: During 2020 many countries reduced the number of elective surgeries to free up beds and cope with the COVID-19 outbreak. This situation led healthcare systems to prioritise elective interventions and reduce the overall volumes of treatments.The aim of this paper is to analyse whether the pandemic and the prioritisation policies on elective surgery were done considering the potential inappropriateness highlighted by the measurement of geographic variation. SETTING: The setting of the study is acute care with a focus on elective surgical procedures. Data were analysed at the Italian regional level. PARTICIPANTS: The study is observational and relies on national hospitalisation records from 2019 to 2020. The analyses refer to the 21 Italian regional health systems, using 48 917 records for 2019 and 33 821 for 2020. The surgical procedures analysed are those considered at high risk of unwarranted variation: coronary angioplasty, cholecystectomy, colectomy, knee replacement, hysterectomy, tonsillectomy, hip replacement and vein stripping. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary measures were the hospitalisation rate and its reduction per procedure, to understand the level of potential inappropriateness. Secondary measures were the SD and high/low ratio, to map the level of geographic variation. RESULTS: For some procedures, there is a linear negative relationship (eg, tonsillectomy: ρ = -0.92, p<0.01; vein stripping: ρ = -0.93, p<0.01) between the reduction in hospitalisation and its starting point. The only two procedures for which no significant differences were registered are cholecystectomy (ρ = -0.22, p=0.31) and hysterectomy (ρ = -0.22, p=0.33). In particular, in all cases, data show that regions with higher 2019 hospitalisation rates registered a larger reduction. CONCLUSIONS: The Italian data show that the pandemic seems to have led hospital managers and health professionals to cut surgical interventions more likely to be inappropriate. Hence, these findings can inform and guide the healthcare system to manage unwarranted variation when coming back to the new normal. This new starting point (lower volumes in some selected elective surgical procedures) should be used to plan elective surgical treatments that can be cancelled because of their high risk of inappropriateness.

The experiences of 33 national COVID-19 dashboard teams during the first year of the pandemic in the World Health Organization European Region: A qualitative study.

Background: Governments across the World Health Organization (WHO) European Region have prioritised dashboards for reporting COVID-19 data. The ubiquitous use of dashboards for public reporting is a novel phenomenon. Objective: This study explores the development of COVID-19 dashboards during the first year of the pandemic and identifies common barriers, enablers and lessons from the experiences of teams responsible for their development. Methods: We applied multiple methods to identify and recruit COVID-19 dashboard teams, using a purposive, quota sampling approach. Semi-structured group interviews were conducted from April to June 2021. Using elaborative coding and thematic analysis, we derived descriptive and explanatory themes from the interview data. A validation workshop was held with study participants in June 2021. Results: Eighty informants participated, representing 33 national COVID-19 dashboard teams across the WHO European Region. Most dashboards were launched swiftly during the first months of the pandemic, February to May 2020. The urgency, intense workload, limited human resources, data and privacy constraints and public scrutiny were common challenges in the initial development stage. Themes related to barriers or enablers were identified, pertaining to the pre-pandemic context, pandemic itself, people and processes and software, data and users. Lessons emerged around the themes of simplicity, trust, partnership, software and data and change. Conclusions: COVID-19 dashboards were developed in a learning-by-doing approach. The experiences of teams reveal that initial underpreparedness was offset by high-level political endorsement, the professionalism of teams, accelerated data improvements and immediate support with commercial software solutions. To leverage the full potential of dashboards for health data reporting, investments are needed at the team, national and pan-European levels.

Using co-creation to develop a cardiology online open course: an effective approach for implementing digital learning.

AIMS: we developed a massive online open course (MOOC) through co-creation between medical students and academic staff on heart semeiotics and evaluated its teaching efficiency and user satisfaction. METHODS: "The Heart, Its Signs and Symptoms" was a MOOC aimed to teach medical students to collect clinical history and perform physical examination of patients presenting with chest pain, dyspnea, palpitations, or syncope. It consisted of 4 interactive cases with preliminary, interim and final evaluation tests. A group of medical students, with the supervision of a multidisciplinary team of University professors residents, health management and informatics researchers developed the MOOC. RESULTS: Users (n = 701) registered to the online platform over 1 month. Students from 34 of the 40 Italian medical faculties participated. 96% of those who started the online course completed at least one of the 4 modules. Among users completing both the preliminary test and the final exam (n = 239, 34% of those registered to the online platform), the percentage of subjects passing the evaluation test raised s from 74% to 95% after the course. Younger age, attendance of Universities in Southern Italy, and a lower number of correct answers during the pre-test predicted a greater increase in the number of correct answers; Almost all participants who provided a feedback (n = 238) felt satisfied by the course. CONCLUSIONS: Partnership of medical students and academic staff was a key asset for the success of the initiative. The high rate of involvement and positive feedback from learners suggest a still unmet need for online learning resources.

Decision-Making Algorithm and Predictive Model to Assess the Impact of Infectious Disease Epidemics on the Healthcare System: The COVID-19 Case Study in Italy.

To improve decision-making strategies and prediction based on epidemiological data, so far biased by highly-variable criteria, algorithms using unbiased morbidity parameters, i.e. Intensive Care Units (ICU) and Ordinary Hospitalizations (OH), are proposed. ICU/OH acceleration and velocities are mathematically modeled using available and official data to derive two thresholds, alerting on 30 % ICU and 40 % OH of COVID-19 daily occupancy settled by the Italian Minister of Health, as a case of study. A predictive model is also proposed to estimate the daily occupancy of ICU and OH in hospitals for each region, using a Susceptible-Infected-Recovered-Death (SIRD) epidemic model to further extend occupancy prediction in each regional district. Computed data validated the proposed models in Italy after almost two years of pandemic, obtaining agreements with the Italian Presidential Decree regardless of the different regional trends of epidemic waves. Therefore, the decision-making algorithm and prediction model resulted valuable tools, retrospectively, to be tested prospectively in sustainable strategies to curb the impact of COVID-19, or of any other pandemic threats with any aggregate of data, on local healthcare systems.

Protecting higher education institutions from COVID-19: insights from an Italian experience.

Higher education institutions (HEIs) worldwide have been deeply affected by the Coronavirus Disease 2019 (COVID-19) pandemic and subsequent lockdown measures. HEIs are environments at high risk of COVID-19 diffusion, due to the high number of people sharing the same environment, and complex to protect, because of the multiple functions present (e.g. teaching rooms, research facilities, dormitories). Protection of HEIs is therefore a serious, but apparently neglect, public health issue. Italy was the first country to be heavily hit in Europe by COVID-19. Italian HEIs had to quickly respond to the emergency with multifaceted interventions to protect all the people on campus while guaranteeing the continuity of research and teaching activities. The purpose of this viewpoint is to propose and discuss a list of priority actions for the protection of HEIs, based on international guidelines and the experience of a small size Italian Public University and Research campus.

A continuous PREMs and PROMs Observatory for elective hip and knee arthroplasty: study protocol.

INTRODUCTION: Scholars, healthcare practitioners and policymakers have increasingly focused their attention on patient-centredness. Patient-reported metrics support patient-driven improvement actions in healthcare systems. Despite the great interest, patient-reported outcome measures (PROMs) are still not extensively collected in many countries and not integrated with the collection of patient-reported experience measures (PREMs). This protocol describes the methodology behind an innovative observatory implemented in Tuscany, Italy, aiming at continuously and longitudinally collecting PROMs and PREMs for elective hip and knee total replacement. METHODS AND ANALYSIS: The Observatory is digital. Enrolled patients are invited via SMS or email to online questionnaires, which include the Oxford Hip Score or the Oxford Knee Score. Data are real-time reported to healthcare professionals and managers in a raw format, anonymised and aggregated on a web platform. The data will be used to investigate the relationship between the PROMs trend and patients' characteristics, surgical procedure, hospital characteristics, and PREMs. Indicators using patient data will be computed, and they will integrate the healthcare performance evaluation system adopted in Tuscany. ETHICS AND DISSEMINATION: The data protection officers of local healthcare organisations and the regional privacy office framed the initiative referring to the national and regional guidelines that regulate patient surveys. The findings will be reported both in real time and for publication in peer-reviewed journals.

The Impact of New Surgical Techniques on Geographical Unwarranted Variation: The Case of Benign Hysterectomy.

Since the 1980s, the international literature has reported variations for healthcare services, especially for elective ones. Variations are positive if they reflect patient preferences, while if they do not, they are unwarranted, and thus avoidable. Benign hysterectomy is among the most frequent elective surgical procedures in developed countries, and, in recent years, it has been increasingly delivered through minimally invasive surgical techniques, namely laparoscopic or robotic. The question therefore arises over what the impact of these new surgical techniques on avoidable variation is. In this study we analyze the extent of unwarranted geographical variation of treatment rates and of the adoption of minimally invasive procedures for benign hysterectomy in an Italian regional healthcare system. We assess the impact of the surgical approach on the provision of benign hysterectomy, in terms of efficiency (by measuring the average length of stay) and efficacy (by measuring the post-operative complications). Geographical variation was observed among regional health districts for treatment rates and waiting times. At a provider level, we found differences for the minimally invasive approach. We found a positive and significant association between rates and the percentage of minimally invasive procedures. Providers that frequently adopt minimally invasive procedures have shorter average length of stay, and when they also perform open hysterectomies, fewer complications.

The Challenges of Hospitals' Planning & Control Systems: The Path toward Public Value Management.

In the last decades, public management has been subjected to a shift from the New Public Management (NPM) paradigm to the Public Value Management (PVM) one. Thus, management practices such as Planning and Control (P&C) systems have been called to evolve accordingly. The health care sector has not escaped this process. This paper focuses on the evolution of hospitals' P&C systems to support the paradigm shift from the NPM paradigm to the PVM one. In particular, the paper aims at exploring whether hospitals' P&C systems in Italy evolved, or are evolving, consistently with PVM and what are the expected benefits related to such a paradigm switch. To address the research aim, the paper is based on a review of scientific and grey literature and the case study of the diabetic-foot pathway in an Italian Regional Healthcare System. The results of this study show that the current P&C systems in Italian hospitals are not yet designed to support the shift toward the PVM approach and are still mainly focused on financial aspects and intra-organizational dynamics. Combining traditional P&Cs with performance measures assessing the system's outcomes may support hospitals in aligning their goals with the health system they are operating within and, therefore, P&C systems may represent an important driving force toward change. Such results provide suggestions for both practitioners and academics on how to adapt P&C systems to better support the implementation of current strategies of the public sector.

Learning from Excellence to Improve Healthcare Services: The Experience of the Maternal and Child Care Pathway.

The ability to deal with adversity and the resilience of people and groups are shown to depend positively on the tendency to nurture positivity. Therefore, the aim of this study is to evaluate whether Learning from Excellence (LfE) can be an effective method to manage systematic health systems, when transparent disclosure and benchmarking of data are adopted in performance evaluation. This study consists of a quantitative and a qualitative phase. In the former, maternal care is investigated at the regional level, starting from performance data and indicators of the maternity pathway referred to 98 healthcare providers in 10 Italian regions, that share the same evaluation system. The second phase investigates qualitatively the organizational determinants and the experience of professionals involved in the pathway, through the organization of on-site workshops. We identified the seven best practices among the 42 units of analysis. Communication, trust and shared goals among health professionals involved in the pathway emerged as core themes from the qualitative analysis. This study confirms that LfE under the conditions of benchmarking assessment and transparent disclosure of data can be implemented systematically in management practice, in order to boost health personnel's resilience and, in general, the organizational climate in the working environment.

Systematic and continuous collection of patient-reported outcomes and experience in women with cancer undergoing mastectomy and immediate breast reconstruction: a study protocol for the Tuscany Region (Italy).

INTRODUCTION: Monitoring how patients feel and what they experience during the care process gives health professionals data to improve the quality of care, and gives health systems information to better design and implement care pathways. To gain new insights about specific gaps and/or strengths in breast cancer care, we measure patient-reported outcomes (PROs) and patient-reported experiences (PREs) for women receiving immediate breast reconstruction (iBR). METHODS AND ANALYSIS: Prospective, multicentre, cohort study with continuous and systematic web-based data collection from women diagnosed with breast cancer, who have an indication for iBR after mastectomy treated at any Breast Unit (BU) in Tuscany Region (Italy). Patients are classified into one of two groups under conditions of routine clinical practice, based on the type of iBR planned (implant and autologous reconstruction). Patient-reported information are obtained prior to and after surgery (at 3-month and 12-month follow-up). We estimate that there are around 700 annual eligible patients.Descriptive analyses are used to assess trends in PROs over time and differences between types of iBR in PROs and PREs. Additionally, econometric models are used to analyse patient and BU characteristics associated with outcomes and experiences. PREs are evaluated to assess aspects of integrated care along the care pathway. ETHICS AND DISSEMINATION: The study has been reviewed and obtained a nihil obstat from the Tuscan Ethics Committees of the three Area Vasta in 2017. Dissemination of results will be via periodic report, journal articles and conference presentations.

Healthy Living and Co-Production: Evaluation of Processes and Outcomes of a Health Promotion Initiative Co-Produced with Adolescents.

Co-production is an approach to designing, delivering, and evaluating public services through strict collaboration among professionals and the people using services with an equal and reciprocal relationship. Health promotion initiatives that include education services rarely use the co-production approach. Nevertheless, the value of co-production is widely recognized, although it is considered a normative good, and scarce and mixed evidence is available in literature. The purpose of this paper is to provide evidence supporting the hypothesis that a co-production approach, applied to an intervention for preventing obesity, can be effective and efficient. To this end, an evaluation of the processes, outputs meant as intermediate results, and behavioral and economic outcomes of a public health-promotion initiative co-produced and co-delivered with adolescents (beFood) was conducted. Mixed methods were used, including field-observations, two self-reported questionnaires, and an opportunity-cost analysis that compared beFood to traditional approaches of public health promotion. The co-production model was successfully implemented and appears to be effective-more than 5000 adolescents were reached by only 49 co-producer adolescents, who reported behavioral changes (e.g., eating better and practicing more physical activity). The cost analysis showed that the co-production approach was also efficient, producing relevant savings and potentially making available more than 3000 h of professionals' time. This research can support a re-thinking of public institutions' organization, public initiatives' design, and public servants' role.

Measuring research in the big data era: The evolution of performance measurement systems in the Italian teaching hospitals.

BACKGROUND: In the healthcare system, Teaching Hospitals(THs) not only provide care, but also train healthcare professionals and carry out research activities. Research is a fundamental pillar of THs' mission and relevant for the healthcare system monitored by Performance Evaluation Systems. Research activities can be measured using citation index services and this paper highlights differences between two services based on bibliometrics, describes opportunities and risks when performance indicators rely on data collected, controlled and validated by external services and discusses the possible impact on health policy at a system and provider level. METHODS: A bibliometric analysis was done on data between 2014-2016 from ISI Web of Science and Scopus of 18.255 physicians working in 26 Italian THs. Quantity was defined as the number of publications and quality as Impact Factor or Field-Weighted Citation Impact. RESULTS: Overall, 41.233 and 66.409 documents were extracted from respectively ISI Web of Science and Scopus. While benchmarking results, significant differences in ranked position both in metrics emerged. DISCUSSION: Utilizing secondary data sources to measure research activities of THs allows benchmarking at an (inter)national level and overcoming self-referment. To utilize indicators for multiple governance purposes at the system and provider level, indicators need to be profoundly understood, require formalizations in data validation, internal analysis and a sharing process among health professionals, management and policymakers.

Using patient-reported measures to drive change in healthcare: the experience of the digital, continuous and systematic PREMs observatory in Italy.

BACKGROUND: The use of Patient Reported Experience Measures (PREMs) has great potential in healthcare service improvement, but a limited use. This paper presents an empirical case of PREMs innovation in Italy, to foster patient data use up to the ward level, by keeping strengths and addressing weaknesses of previous PREMs survey experiences. The paper reports key lessons learned in this ongoing experience of action research, directly involving practitioners. METHODS: The aim of this paper is to present the results of an ongoing action research, encompassing the innovation of PREMs collection, reporting and use, currently adopted by 21 hospitals of two Italian regions. The continuous and systematic PREMs collection has been implemented between 2017 and 2019 and includes: a continuous web-based administration, using web-services; an augmented and positive questionnaire matching standard closed-ended questions with narrative sections; the inclusion and benchmarking of patient data within a shared performance evaluation system; public disclosure of aggregated anonymized data; a multi-level and real-time web-platform for reporting PREMs to professionals. The action research was carried out with practitioners in a real-life and complex context. The authors used multiple data sources and methods: observations, feedback of practitioners, collected during several workshops and meetings, and analysis of preliminary data on the survey implementation. RESULTS: A continuous and systematic PREMs observatory was developed and adopted in two Italian regions. PREMs participation and response rates tend to increase over time, reaching stable percentages after the first months. Narrative feedback provide a 'positive narration' of episodes and behaviours that made the difference to patients and can inform quality improvement actions. Real-time reporting of quantitative and qualitative data is enabling a gratifying process of service improvement and people management at all the hospitals' levels. CONCLUSIONS: The PREMs presented in this paper has been recognized by healthcare professionals and managers as a strategic and positive tool for improving an actual use of PREMs at system and ward levels, by measuring and highlighting positive deviances, such as compassionate behaviours.

Managing the performance of general practitioners and specialists referral networks: A system for evaluating the heart failure pathway.

High quality chronic disease management requires coordinated care across different healthcare settings, involving multidisciplinary teams of professionals, and performance evaluation systems able to measure this care. Inter-organizational performance should be measured considering the professional relationships between general practitioners (GPs) and specialists, who are usually linked through informal referral networks. The aim of this paper is to identify and evaluate the performance of naturally occurring networks of GPs and hospital-based specialists providing care for congestive heart failure (CHF) patients in Tuscany, Italy. The analysis focuses on the identification and classification of networks, following CHF patients (n = 15,841) through primary care and inpatient care using administrative data, and on the assessment of process and outcome indicators for CHF patients in these referral networks. We demonstrate the existence of informal links between GPs and hospitals based on patterns of patient flow. These networks which are not geographically based vary in the intensity of relationships and quality of care. Such referral networks may represent the most effective accountability level for chronic disease management, since they encompass the multiple care settings experienced by patients. Overall, an integrated approach to evaluation and performance management that considers the naturally occurring links between professionals working in different settings may enable more efficient, integrated care and quality improvements.