Allocation of Users of Mental Health Services to Needs-Based Care Clusters: An Italian Pilot Study.

In Italy, despite strong community-based mental health services, needs assessment is unsatisfactory. Using the Mental Health Clustering Tool (MHCT) we adopted a multidimensional and non-diagnosis dependent approach to assign mental health services users with similar needs to groups corresponding to resources required for effective care. We tested the MHCT in nine Departments of Mental Health in four Italian regions. After a brief training, 318 professionals assessed 12,938 cases with a diagnosis of schizophrenia, depression, bipolar disorder and personality disorder through the MHCT. 53% of cases were 40-59 years, half were females, 51% had a diagnosis of schizophrenia, 48% of cases were clinically severe. Clusters included different levels of clinical severity and diagnostic groups. The largest cluster was 11 (ongoing recurrent psychosis), with 18.9% of the sample, followed by cluster 3 (non-psychotic disorders of moderate severity). The MHCT could capture a variety of problems of people with mental disorders beyond the traditional psychiatric assessment, therefore depicting service population from a different standpoint. Following a brief training, MHCT assessment proved to be feasible. The automatic allocation of cases made the attribution to clusters easy and acceptable by professionals. To what extent clustering provide a sound base for care planning will be the matter of further research.

Implementation of Precision Oncology in Clinical Practice: Results of a National Survey for Health Care Professionals.

BACKGROUND: Two main aspects lead the implementation of precision oncology into clinical practice: the adoption of extended genome sequencing technologies and the institution of the Molecular Tumor Boards (MTBs). CIPOMO (Italian Association of Heads of Oncology Department) promoted a national survey across top health care professionals to gain an understanding of the current state of precision oncology in Italy. METHODS: Nineteen questions were sent via the SurveyMonkey platform to 169 heads of oncology departments. Their answers were collected in February 2022. RESULTS: Overall, 129 directors participated; 113 sets of answers were analyzed. Nineteen regions out of 21 participated as a representative sample of the Italian health care system. The use of next-generation sequencing (NGS) is unevenly distributed; informed consent and clinical reports are managed differently, as the integration of medical, biologic, and informatics domains in a patient-centered workflow is inconsistent. A heterogeneous MTB environment emerged. A total of 33.6% of the responding professionals did not have access to MTBs while 76% of those who have did not refer cases. CONCLUSIONS: NGS technologies and MTBs are not homogeneously implemented in Italy. This fact potentially jeopardizes equal access chances to innovative therapies for patients. This survey was carried out as part of an organizational research project, pursuing a bottom-up approach to identify the needs and possible solutions to optimize the process. These results could be a starting point for clinicians, scientific societies, and health care institutions to outline the best practices and offer shared recommendations for precision oncology implementation in current clinical practice.

The quality of mental health care for people with bipolar disorders in the Italian mental health system: the QUADIM project.

BACKGROUND: The assessment of the quality of care pathways delivered to people with severe mental disorders in a community-based system remains uncommon, especially using healthcare utilization databases. The aim of the study was to evaluate the quality of care provided to people with bipolar disorders taken-in-care by mental health services of four Italian areas (Lombardy, Emilia-Romagna, Lazio, province of Palermo). METHODS: Thirty-six quality indicators were implemented to assess quality of mental health care for patients with bipolar disorders, according to three dimensions (accessibility and appropriateness, continuity, and safety). Data were retrieved from healthcare utilization (HCU) databases, which contain data on mental health treatments, hospital admissions, outpatient interventions, laboratory tests and drug prescriptions. RESULTS: 29,242 prevalent and 752 incident cases taken-in-care by regional mental health services with a diagnosis of bipolar disorder in 2015 were identified. Age-standardized treated prevalence rate was 16.2 (per 10,000 adult residents) and treated incidence rate 1.3. In the year of evaluation, 97% of prevalent cases had ≥ 1 outpatient/day-care contacts and 88% had ≥ 1 psychiatric visits. The median of outpatient/day-care contacts was 9.3 interventions per-year. Psychoeducation was provided to 3.5% of patients and psychotherapy to 11.5%, with low intensity. 63% prevalent cases were treated with antipsychotics, 71.5% with mood stabilizers, 46.6% with antidepressants. Appropriate laboratory tests were conducted in less than one-third of prevalent patients with a prescription of antipsychotics; three quarters of those with a prescription of lithium. Lower proportions were observed for incident patients. In prevalent patients, the Standardized Mortality Ratio was 1.35 (95% CI: 1.26-1.44): 1.18 (1.07-1.29) in females, 1.60 (1.45-1.77) in males. Heterogeneity across areas was considerable in both cohorts. CONCLUSIONS: We found a meaningful treatment gap in bipolar disorders in Italian mental health services, suggesting that the fact they are entirely community-based does not assure sufficient coverage by itself. Continuity of contacts was sufficient, but intensity of care was low, suggesting the risk of suboptimal treatment and low effectiveness. Care pathways were monitored and evaluated using administrative healthcare databases, adding evidence that such data may contribute to assess the quality of clinical pathways in mental health.

Joining telehealth in rheumatology: a survey on the role played by personalized experience from patients' perspective.

BACKGROUND: The beginning of the Covid-19 pandemic has forced many hospital departments worldwide to implement telehealth strategies for the first time. Telehealth represents the opportunity to increase value for all stakeholders, including patients and healthcare staff, but its success constitutes a challenge for all of them and particularly patients play a crucial role for their needed adherence. This study focuses on the experience of the Rheumatology Unit of Niguarda Hospital in Milan (Italy), where telehealth projects have been implemented for more than a decade with structured design and organized processes. The case study is paradigmatic because patients have experimented personalized mixes of telehealth channels, including e-mails and phone calls, Patient Reported Outcomes questionnaires, and home delivery of drugs. Given all these peculiarities, we decided to deepen patients' perspective through three main aspects related to the adoption of telehealth: (i) the benefits perceived, (ii) the willingness to enrol in future projects, (iii) the preference on the service-mix between remote contacts and in-person visits. Most importantly, we investigated differences in the three areas among all patients based on the mix of telehealth channels experienced. METHODS: We conducted a survey from November 2021 to January 2022, enrolling consecutively patients attending the Rheumatology Unit of Niguarda Hospital in Milan (Italy). Our survey comprised an introductory set of questions related to personal, social, clinical and ICT skills information, followed by the central part on telehealth. All the answers were analysed with descriptive statistics and regression models. RESULTS: A complete response was given by 400 patients: 283 (71%) were female, 237 (59%) were 40-64 years old, 213 (53%) of them declared to work, and the disease most represented was Rheumatoid Arthritis (144 patients, 36%). Descriptive statistics and regression results revealed that (i) non-users imagined wide-ranging benefits compared to users; (ii) other things being equal, having had a more intense experience of telehealth increased the odds of accepting to participate to future projects by 3.1 times (95% C.I. 1.04-9.25), compared to non-users; (iii) the more telehealth was experienced, the higher the willingness to substitute in-person with online contacts. CONCLUSIONS: Our study contributes to enlighten the crucial role played by the telehealth experience in determining patients' preferences.

Using big data and Population Health Management to assess care and costs for patients with severe mental disorders and move toward a value-based payment system.

BACKGROUND: Mental health (MH) care often exhibits uneven quality and poor coordination of physical and MH needs, especially for patients with severe mental disorders. This study tests a Population Health Management (PHM) approach to identify patients with severe mental disorders using administrative health databases in Italy and evaluate, manage and monitor care pathways and costs. A second objective explores the feasibility of changing the payment system from fee-for-service to a value-based system (e.g., increased care integration, bundled payments) to introduce performance measures and guide improvement in outcomes. METHODS: Since diagnosis alone may poorly predict condition severity and needs, we conducted a retrospective observational study on a 9,019-patient cohort assessed in 2018 (30.5% of 29,570 patients with SMDs from three Italian regions) using the Mental Health Clustering Tool (MHCT), developed in the United Kingdom, to stratify patients according to severity and needs, providing a basis for payment for episode of care. Patients were linked (blinded) with retrospective (2014-2017) physical and MH databases to map resource use, care pathways, and assess costs globally and by cluster. Two regions (3,525 patients) provided data for generalized linear model regression to explore determinants of cost variation among clusters and regions. RESULTS: Substantial heterogeneity was observed in care organization, resource use and costs across and within 3 Italian regions and 20 clusters. Annual mean costs per patient across regions was €3,925, ranging from €3,101 to €6,501 in the three regions. Some 70% of total costs were for MH services and medications, 37% incurred in dedicated mental health facilities, 33% for MH services and medications noted in physical healthcare databases, and 30% for other conditions. Regression analysis showed comorbidities, resident psychiatric services, and consumption noted in physical health databases have considerable impact on total costs. CONCLUSIONS: The current MH care system in Italy lacks evidence of coordination of physical and mental health and matching services to patient needs, with high variation between regions. Using available assessment tools and administrative data, implementation of an episodic approach to funding MH could account for differences in disease phase and physical health for patients with SMDs and introduce performance measurement to improve outcomes and provide oversight.

DM management in HIV patients: the adoption of population health management to transform the chronic management of HIV.

BACKGROUND: The success of antiretroviral therapies has made human immunodeficiency virus (HIV) a chronic disease, changing the care scenario dramatically. This study aimed to measure adherence to diabetes mellitus standards of care provided for people living with HIV (PLWH). Diabetes represents a paradigmatic case for tackling chronic care management in this target group. METHODS: This retrospective observational study was performed on administrative health data retrieved from 2014 to 2016, with a validated algorithm to identify patients with HIV using: (i) hospital discharge records (ICD9-CM codes); (ii) drug dispensing records (with ATC codes); and (iii) disease-specific exemptions from co-payments for healthcare services. HIV-related treatments, comorbidities and health service utilization were measured, as was adherence to clinical guidelines-recommended standards of care for diabetes. RESULTS: A population of 738 cases were identified in two Local Health Authorities in Italy, representing a prevalence of 0.14% of the general population, in line with the expected prevalence. Thirty-one cases of HIV patients diagnosed with diabetes were identified, a prevalence ratio of 4.2% compared to the 8% in the overall population. Adherence to diabetes standards of care tested within the same population was low, with the exception of those tests commonly administered for standard HIV follow-up care. CONCLUSIONS: The use of administrative data, combined with a Population Health Management approach represents a powerful tool for evaluating system capacity to manage HIV comorbidities. Study findings prove that it is time to design new care models for PLWH, affected by one or more chronic conditions, both to prevent their onset and to manage their comorbidities.

Does the mental health system provide effective coverage to people with schizophrenic disorder? A self-controlled case series study in Italy.

PURPOSE: To measure indicators of timeliness and continuity of treatments on patients with schizophrenic disorder in 'real-life' practice, and to validate them through their relationship with relapse occurrences. METHODS: The target population was from four Italian regions overall covering 22 million beneficiaries of the NHS (37% of the entire Italian population). The cohort included 12,054 patients newly taken into care for schizophrenic disorder between January 2015 and June 2016. The self-controlled case series (SCCS) design was used to estimate the incidence rate ratio of relapse occurrences according to mental healthcare coverage. RESULTS: Poor timeliness (82% and 33% of cohort members had not yet started treatment with psychosocial interventions and antipsychotic drug therapy within the first year after they were taken into care) and continuity (27% and 23% of patients were persistent with psychosocial interventions, and antipsychotic drug therapy within the first 2 years after starting the specific treatment) were observed. According to SCCS design, 4794 relapses occurred during 9430 PY (with incidence rate of 50.8 every 100 PY). Compared with periods not covered by mental healthcare, those covered by psychosocial intervention alone, antipsychotic drugs alone and by psychosocial intervention and antipsychotic drugs together were, respectively, associated with relapse rate reductions of 28% (95% CI 4-46%), 24% (17-30%) and 44% (32-53%). CONCLUSION: Healthcare administrative data may contribute to monitor and to assess the effectiveness of a mental health system. Persistent use of both psychosocial intervention and antipsychotic drugs reduces risk of severe relapse.

Administrative databases and clinical governance: The case of COPD.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. However, COPD is still underdiagnosed, undertreated, and not sufficiently prevented. Health administrative databases provide a powerful way of studying COPD in the population. METHODS: This retrospective study used administrative data, collected during 2011 and 2012, retrieved from 3 Italian local health authorities (LHAs). RESULTS: The analysis through administrative databases allowed firstly to identify patients with COPD receiving services by the 3 LHAs: The estimated average is ~3% of the population aged ≥40 years. Furthermore, it was also possible to stratify patients by investigating the health consumption in hospitalization for COPD and use of respiratory drugs. In all 3 LHA patients with moderate COPD were the majority of the population with COPD. Finally, it was possible to distinguish patients who made an appropriate use of SABA (76% of the total), patients who had a potentially inappropriate use (20%), and those with an overuse of SABA (4%). CONCLUSION: The use of SABA consumption patterns can be a reliable proxy variable to detect subgroups who may necessitate therapy revision. Health administrative databases seem beneficial for planning health care interventions, including the COPD field. They are robust information systems subjected to regular data quality controls remaining the prevalent data source, reliable because of the amount of data and the population coverage, especially in countries with a National Health Service System.

Multidisciplinary management of immunotherapy-related adverse events in solid tumors: An inter-institutional and telemedicine-based working team.

BACKGROUND: Although immune checkpoint inhibitors (ICIs) show a more favorable toxicity profile than classical cytotoxic drugs, their mechanism of action is responsible for peculiar new toxicities. There is an urgent need for a multidisciplinary approach to advice on how to manage organ-specific toxicities. METHODS: Our project aims to integrate the practices of two different hospitals into a single Italian regional collaborative model to treat immune-related adverse events (irAEs). The team structure is a multi-professional and multidisciplinary cooperative network that consists of different medical specialists. The team referrer is the medical oncologist and an existing telematic platform is used for specialists' cooperation. The leading oncologist first evaluates patients' clinical condition, therefore team intervention and teleconsultation are planned to activate proper management. After a first phase structured for general setting, outcomes analysis, data collection, and identification of critical issues, it is planned to define appropriate key performance indicators (KPIs) in quality, structure, process, and outcome settings. Therefore, a second phase would serve to implement KPIs. In the third phase, the proposal for the enlargement of the network with the extension to more centers in the context of the Regional Health Service will be performed. DISCUSSION: The multidisciplinary management of irAEs based on telemedicine fits into the debate on the renewal of healthcare systems and the push for change toward multidisciplinary with the rising use of telemedicine. To our knowledge, this is the first project reporting a multi-institutional experience for change of service in irAEs management.

Implementation of Precision Oncology in the National Healthcare System: A Statement Proposal Endorsed by Italian Scientific Societies.

PURPOSE: Precision oncology (PO) promises positive results for patients. To date, in Italy, the effort to implement PO has been made autonomously by regional health institutions in a top-down fashion. This approach is not very efficient and jeopardizes patients' equal access to PO. Similar outcomes have been recorded in other Western countries. We tested a method of collaboration among professionals, scientific societies, and government institutions to facilitate the delivery of PO innovation to patients' bedsides. METHOD: We designed an organizational research project on the basis of a bottom-up approach. We started by observing PO-related activities in five health care authorities (HCAs) in one Italian region. We then compared the issues that emerged with those of three additional HCAs in other Italian regions. Using the results of the initial observation and adopting validated multiple-step consensus methods, we finally derived 14 statements that were approved by the four main scientific societies of oncology and pathology at the national level. RESULTS: The 14 statements addressed the main issues linked to the implementation of PO in clinical practice. The strong professional consensus advocated for prompt adoption within the national healthcare system. CONCLUSIONS: The consensus on the statements that were obtained shows the importance of a synergistic effort among professionals, scientific societies, and health care institutions in defining homogeneous solutions for innovation implementation within the health care system.

Assessment and Monitoring of the Quality of Clinical Pathways in Patients with Depressive Disorders: Results from a Multiregional Italian Investigation on Mental Health Care Quality (the QUADIM Project).

Ensuring adequate quality of care to patients with severe mental disorders remains a challenge. The implementation of clinical indicators aimed at assessing the quality of health care pathways delivered is crucial for the improvement of mental health services (MHS). This study aims to evaluate the quality of care delivered to patients who are taken-into-care with depressive disorders by MHS. Thirty-four clinical indicators concerning accessibility, appropriateness, continuity, and safety were estimated using health care utilization databases from four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). A total of 78,924 prevalent patients treated for depressive disorders in 2015 were identified, of whom 15,234 were newly engaged by MHS. During the year of follow-up, access to psychotherapeutic interventions was low, while the intensity was adequate; 5.1% of prevalent patients received at least one hospitalization in a psychiatric ward (GHPW), and 3.3% in the cohort of newly engaged in services. Five-out-of-10 patients had contact with community services within 14 days after GHPW discharge, but less than half of patients were persistent to antidepressant drug therapy. Furthermore, prevalent patients showed an excess of mortality compared to the general population (SMR = 1.35; IC 95%: 1.26-1.44). In conclusion, the quality of health care is not delivered in accordance with evidence-based mental health standards. Evaluation of health interventions are fundamental strategies for improving the quality and equity of health care.

Assessing the quality of the care offer for people with personality disorders in Italy: the QUADIM project. A multicentre research based on the database of use of Mental Health services.

BACKGROUND: Italy can be viewed as a laboratory to assess the quality of mental healthcare delivered in a community-oriented system, especially for severe mental disorders, such as personality disorders. Although initiatives based on clinical indicators for assessing the quality of mental healthcare have been developed by transnational-organisations, there is still no widespread practice of measuring the quality of care pathways delivered to patients with severe mental disorders in a community-oriented system, especially using administrative healthcare databases. The aim of the study is to evaluate the quality of care delivered to patients with personality disorders taken-in-care by mental health services of four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). METHODS: A set of thirty-three clinical indicators, concerning accessibility, appropriateness, continuity, and safety of care, was implemented using regional healthcare utilization databases, containing data on mental health treatments and diagnosis, hospital admissions, outpatient interventions and exams and drug prescriptions. RESULTS: 31,688 prevalent patients with personality disorders treated in 2015 were identified, of whom 2,331 newly taken-in-care. One-in-10 patients received a standardized assessment, the treatment discontinuity affected half of the cases. 12.7% of prevalent patients received at least one hospitalization, 10.6% in the newly taken-in-care cohort. 6-out-of-10 patients had contact with community-services within 14 days from hospital discharge. Access to psychotherapy and psychoeducational treatments was low and delivered with a low intensity. The median of psychosocial interventions per person-year was 19.1 and 9.4, respectively, in prevalent and newly taken-in-care cases. Nearly 50% of patients received pharmacological treatments. CONCLUSIONS: Healthcare utilization databases were used to systematically evaluate and assess service delivery across regional mental health systems; suggesting that in Italy the public mental health services provide to individuals with personality disorders suboptimal treatment paths.

Managing Chronic Conditions: Lessons Learnt from a Comparative Analysis of Seven Years' Policies for Chronic Care Patients in Italy.

This policy paper aims to compare what policies are developed in Italy for the management of chronic patients in order to improve population health, quality of care and patient experience and reduce per-capita cost. The paper also aims to identify the key trends and evolutionary trajectories across the Country. METHODOLOGY: The analysis focuses on 10 Italian Regions and the time span of observation is 7 years (from 2014 to 2020). Data collection and analysis adopts mixed methods in order to have a more in-depth picture of the contextual factors, mechanisms and outcomes. It includes a desk research of the literature and documentary analysis; semi-structured interviews; a theory driven evaluation of 12 programmes identified at the regional level; and a Consensus Conference to discuss and validate the results with an Expert Panel Group. CONCLUSIONS: The paper firstly describes the main policies developed in Italy in the last seven years; secondly, it discusses six main trends and clusters them into three strategies: demand management strategies; strategies to improve the management of comorbid and frail patients; and strategies to improve the coordination between levels of care and the patient journey; thirdly, it discusses eight trends and evolutionary trajectories which are now emerging.

Therapeutic innovation in high-prevalence chronic diseases: Challenges and opportunities for specialist care models.

Therapeutic innovation is expected to change if not disrupt present care models for several chronic diseases in the coming years, as suggested by recent clinical trials. New drugs that anticipate and possibly delay the full expression of a disease will likely face some common challenges, such as the need of designing and implementing large scale interventions; the necessary engagement of multiple specialties for both diagnosis and treatment; the shift from specialist to non-specialist interventions and secondary prevention. Building on the case of HCV and other innovation in hepatology, we discuss common challenges caused by disruptive change that other chronic conditions faced in the past. The recent history of hepatology shows interesting examples of disruptive innovations that completely reverted traditional treatment approaches. As we learned from the slow early diffusion of antiviral drugs, without a clear information and a prompt design of the appropriate delivery modalities, the effectiveness of new treatments is undermined and care risk to be postponed for long time. This implies the definition of (i) new service models diversified by care phases and patients' target; (ii) horizontal integration: to go beyond the professional boundaries to build solid alliances; (iii) vertical integration between primary and secondary care.

The quality of mental health care delivered to patients with schizophrenia and related disorders in the Italian mental health system. The QUADIM project: a multi-regional Italian investigation based on healthcare utilisation databases.

AIMS: To evaluate the quality of mental health care delivered to patients with schizophrenia and related disorders taken-in-care by mental health services in four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). METHODS: Thirty-one clinical indicators concerning accessibility, appropriateness, continuity and safety were defined and estimated using healthcare utilisation (HCU) databases, containing data on mental health treatments, hospital admissions, outpatient interventions, lab tests and drug prescriptions. RESULTS: A total of 70 586 prevalent patients with schizophrenia and related disorders treated in 2015 were identified, of whom 1752 were newly taken-in-care by the facilities of regional mental health services. For most patients community care was accessible and moderately intensive. However, care pathways were not implemented based on a structured assessment and only half of the patients received psychosocial treatments. One patient out of ten had access to psychological interventions and psychoeducation. Activities specifically addressed to families involved a third of prevalent patients and less than half of new patients. One patient out of six was admitted to a community residential facility, and one out of ten to a General Hospital Psychiatric Ward (GHPW); higher values were identified in new cases. In general hospitals, few patients had a length of stay (LoS) of more than 30 days, while one-fifth of the admissions were followed by readmission within 30 days of discharge. For two-thirds of patients, continuity of community care was met, and six times out of ten a discharge from a GHPW was followed by an outpatient contact within 2 weeks. For cases newly taken-in-care, the continuity of community care was uncommon, while the readiness of outpatient contacts after discharge was slightly more frequent. Most of the patients received antipsychotic medication, but their adherence to long-term treatment was low. Antipsychotic polytherapy was frequent and the control of metabolic side effects was poor. The variability between regions was high and consistent in all the quality domains. CONCLUSIONS: The Italian mental health system could be improved by increasing the accessibility to psychosocial interventions, improving the quality of care for newly taken-in-care patients, focusing on somatic health and mortality, and reducing regional variability. Clinical indicators demonstrate the strengths and weaknesses of the mental health system in these regions, and, as HCU databases, they could be useful tools in the routine assessment of mental healthcare quality at regional and national levels.

From contact coverage to effective coverage of community care for patients with severe mental disorders: A real-world investigation from Italy.

Objectives: To measure the gap between contact and effective coverage of mental healthcare (MHC). Materials and methods: 45,761 newly referred cases of depression, schizophrenia, bipolar disorder, and personality disorder from four Italian regions were included. A variant of the self-controlled case series method was adopted to estimate the incidence rate ratio (IRR) for the relationship between exposure (i.e., use of different types of MHC such as pharmacotherapy, generic contact with the outpatient services, psychosocial intervention, and psychotherapy) and relapse (emergency hospital admissions for mental illness). Results: 11,500 relapses occurred. Relapse risk was reduced during periods covered by (i) psychotherapy for patients with depression (IRR 0.67; 95% CI: 0.49 to 0.91) and bipolar disorder (0.64; 0.29 to 0.99); (ii) psychosocial interventions for those with depression (0.74; 0.56 to 0.98), schizophrenia (0.83; 0.68 to 0.99), and bipolar disorder (0.55; 0.36 to 0.84), (iii) pharmacotherapy for patients with schizophrenia (0.58; 0.49 to 0.69), and bipolar disorder (0.59; 0.44 to 0.78). Coverage with generic care, in absence of psychosocial/psychotherapeutic interventions, did not affect risk of relapse. Conclusion: This study ascertained the gap between contact and effective coverage of MHC and showed that administrative data can usefully contribute to assess the effectiveness of a mental health system.

[Process management and PDTA: some reflections.] / Gestione per processi e PDTA: alcune riflessioni.

The debate over Diagnostic and Therapeutic Care Pathways (DTCP) existed for at least twenty years: it is therefore necessary to contextualize the thinking with respect to the historical context and in accordance to the disciplinary bases. In the last twenty years, health care companies, Region - health care and medicine relations have undergone a major transformation, so there is a need to resume the historical positions by updating them or referring to those contributions of the debate that best capture the most recent transformations. The reference to the disciplinary roots of the various contributions in the literature allows for a common denominator to avoid building proposals that risk being based on very different conceptual basis or referring to distant issues in the complex world of healthcare services.

Evaluating the appropriateness of elective surgery: The case of spinal fusion (arthrodesis).

INTRODUCTION: Appropriateness is an essential element of quality of care. Several methods and tools have been developed to measure the appropriateness of care, however, none of these could be used to systematically support providers in keeping the appropriateness under control. Our study aimed to develop a framework to evaluate the appropriateness of care that took into account four dimensions of appropriateness: clinical dimension, equity, service delivery model, outcome. METHODS: We employed mixed-method approaches. These included a retrospective analysis of administrative data collected from Kinetika Sardinia (Italy) and a qualitative analysis of stakeholders' experiences and perspectives aimed at supporting data collection, identification of improvement actions and definition of performance indicators. We used arthrodesis as a paradigmatic example of potentially inappropriate elective surgery. RESULTS: We collected data from 2,584 patients that underwent arthrodesis between January 1, 2010 and April 30, 2015. Based on the analysis and the exchanges with professionals, we identified 11 improvement actions. Monitoring and evaluation actions were finally conducted for 171 patients that underwent spinal fusion during the first semester of 2016 in order to assess if the improvement actions identified were put into practice and acquired desirable outcomes. CONCLUSIONS: Our work provides a definition of appropriateness that goes beyond the clinical perspective and includes other perspectives (equity, service delivery and outcome); develops a framework and an approach that can be a valid help to systematically assess the appropriateness of elective surgery, adopt improvement actions, and monitor their impact; discusses what are the competencies necessary for measuring the appropriateness.

[Clinical networks in nephrology]. / Le reti cliniche in nefrologia.

Networking can be used to create a balance between the fragmentation of care (necessary to favor the accessibility of the service) and the high volumes necessary both to enable staff to develop specific expertise and to justify investments in new technologies and treatments. These requirements, however, are present in the care of any disease requiring expensive technologies and highly specific expertise. What is typical of kidney disease, like most complex chronic illnesses, is that it requires the presence of multiple specialists who work over a long period of time and across multiple stages (prevention, diagnosis, acute care, rehabilitation, follow-up) characterized by different levels of complexity and typically performed by different healthcare institutions. This has led, in different countries and specialties, to the development of managed and integrated care models. These issues were analyzed by the research project ''Strategic and organizational prospects of nephrology in Italy. An economic-business analysis,'' which involved a number of case studies on the organization of nephrology services.

Social network analysis in primary care: the impact of interactions on prescribing behaviour.

OBJECTIVES: In many healthcare systems of affluent countries, general practitioners (GPs) are encouraged to work in collaborative arrangements to increase patients' accessibility and the quality of care. There are two lines of thought regarding the ways in which belonging to a network can affect GP behaviour: (1) the social capital framework posits that, through relationships, individuals acquire resources, such as information, that allow them to perform better; and (2) the social influence framework sees relationships as avenues through which individual actors influence other individuals and through which behavioural norms are developed and enforced. The objective of this study is to provide an evaluation of the effects of GP network organisation on their prescribing behaviour. METHODS: We used administrative data from a Local Health Authority (LHA) in Italy concerning GPs organisation and prescriptions. RESULTS: We found that GPs working in a collaborative arrangement have a similar prescribing behaviour while we did not find a significant relationship between the centrality of a GP and her capability to meet LHA's targets. CONCLUSIONS: Our data support the conclusion that, in the case of GP collaboration initiatives, the social influence mechanism is more relevant than the social capital mechanism.