Disentangling organizational levers and economic benefits in transitional care programs: a systematic review and configurational analysis.

BACKGROUND: Promoting safe and efficient transitions of care is critical to reducing readmission rates and associated costs and improving the quality of patient care. A growing body of literature suggests that transitional care (TC) programs are effective in improving quality of life and reducing unplanned readmissions for several patient groups. TC programs are highly complex and multidimensional, requiring evidence on how specific practices and system characteristics influence their effectiveness in patient care, readmission reduction and costs. METHODS: Using a systematic review and a configurational approach, the study examines the role played by system characteristics (size, ownership, professional skills, technology used), the organizational components implemented, analyzing their combinations, and the potential economic impact of TC programs. RESULTS: The more organizational components are implemented, the greater the likelihood that a TC program will be successful in reducing readmission rates. Not all components have the same effect. The results show that certain components, 'post-discharge symptom monitoring and management' and 'discharge planning', are necessary but not sufficient to achieve the outcome. The results indicate the existence of two different combinations of components that can be considered sufficient for the reduction of readmissions. Furthermore, while system characteristics are underexplored, the study shows different ways of incorporating the skill mix of professionals and their mode of coordination in TC programs. Four organizational models emerge: the health-based monocentric, the social-based monocentric, the multidisciplinary team and the mono-specialist team. The economic impact of the programs is generally positive. Despite an increase in patient management costs, there is an overall reduction in all post-intervention costs, particularly those related to readmissions. CONCLUSIONS: The results underline the importance of examining in depth the role of system characteristics and organizational factors in facilitating the creation of a successful TC program. The work gives preliminary insights into how to systematize organizational practices and different coordination modes for facilitating decision-makers' choices in TC implementation. While there is evidence that TC programs also have economic benefits, the quality of economic evaluations is relatively low and needs further study.

[Identifying population needs: methods of analysis and stratification]. / Identificare i bisogni della popolazione: metodi di analisi e di stratificazione.

. Identifying population needs: methods of analysis and stratification. In this article, examples of population stratification models used at the national level to identify different levels of needs and interventions are reported. Most models are based primarily on health data, diseases, clinical complexity, use of health services, hospitalizations, emergency room access, pharmaceutical prescriptions, and exemption codes. The limitations of these models relate to the availability and integration of data, as well as generalizability in different contexts. Moreover, to address the difficulty of implementing effective local interventions, the co-production or integration of social and health services is strongly suggested. Some survey techniques are presented to detect the needs, expectations, and resources of specific communities or populations.

The Core of Healthcare Efficiency: A Comprehensive Bibliometric Review on Frontier Analysis of Hospitals.

Parametric and non-parametric frontier applications are typical for measuring the efficiency and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital efficiency is the center of academic discussions and the most desired target for many public authorities under limited resources. Investigating the state of the art of such applications and methodologies in the healthcare sector, besides uncovering strategical managerial prospects, can expand the scientific knowledge on the fundamental differences among efficiency models, variables and applications, drag research attention to the most attractive and recurrent concepts, and broaden a discussion on the specific theoretical and empirical gaps still to be addressed in future research agendas. This work offers a systematic bibliometric review to explore this complex panorama. Hospital efficiency applications from 1996 to 2022 were investigated from the Web of Science base. We selected 65 from the 203 most prominent works based on the Core Publication methodology. We provide core and general classifications according to the clinical outcome, bibliographic coupling of concepts and keywords highlighting the most relevant perspectives and literature gaps, and a comprehensive discussion of the most attractive literature and insights for building a research agenda in the field.

The dynamic use of a balanced scorecard in an Italian public hospital.

PURPOSE: This paper aims to analyse the dynamic use of the balanced scorecard (BSC) in an Italian public hospital. DESIGN/METHODOLOGY/APPROACH: A longitudinal case study was conducted at an Italian public teaching hospital over a period of 5 years. The emergence of dynamic use of BSC was traced over a different combination of social, political, economic and organizational realities. A deeper understanding of these realities requires the adoption of a holistic approach to BSC use. Henri's types of system use (i.e., monitoring, attention focussing, strategic decision-making and legitimizing) frame this approach in a more concrete manner. FINDINGS: This study adds to the debate on whether BSC is used for aspects other than monitoring in public contexts. The case study offers the first example of a legitimizing use of the system and a first longitudinal case study that traces a dynamic use of BSC: the use evolves from monitoring and attention focussing to monitoring and legitimization. Norms, political parties and top managers play a determining role in this process. ORIGINALITY/VALUE: Through a longitudinal approach, this study presents how BSC can be a dynamic tool steered by legitimacy pressures. The longitudinal study explores how social, political, economic and organizational context shape the implementation and the revision of BSC affecting the use of the tool by top managers. The browse of this dynamism is supported by Henri's type of use along with an in-depth analysis of the BSC literature evolution in terms of its 'static, dynamic and expected' use.

Economic Costs of Delayed Diagnosis of Functional Motor Disorders: Preliminary Results From a Cohort of Patients of a Specialized Clinic.

Background: Functional motor disorders (FMDs) are prevalent and highly disabling conditions in young adults that can result in reduced independence. Despite advances in diagnosis and treatment, the economic burden of FMDs is largely unknown. Objective: This pilot retrospective study provides a real-world overview of the economic costs related to delayed diagnosis of FMDs from a cohort of patients of a specialized clinic in Italy, based on Italian healthcare costs. Methods: Sociodemographic data, clinical history, healthcare service utilization, and associated direct costs were collected for a period of up to 5 years before a definite diagnosis of FMDs in 40 patients. Results: The mean time lag between the onset of FMDs symptoms and diagnosis was 6.63 years (±8.57). The mean annual use of recourses per patient was three specialist visits (95% CI 2.4-3.4) and three diagnostic examinations (95% CI 2.2-3.6) that made up a total of six investigations and over seven (95% CI 5.5-9.7) rehabilitation contacts per year per patient were used before a diagnosis of FMDs was established. In more than 50% of the cases, patients had been hospitalized or made an ER visit at least once before receiving the correct diagnosis. The average annual costs for delayed diagnosis, taking into account only direct healthcare costs (without medications), was about €2,302 (CI 95% €1,570-2,830) per patient [€1,524 covered by the NHS (CI 95% €1,214-1,834) and € 778 by the patient (CI 95% €606-960)]. Hospitalization accounted for €916 (CI 95% €670-1,160) per patient per year, followed by rehabilitation €493 (CI 95% €345-641) and diagnostic tests € 387 (CI 95% €314-460). Conclusion: These preliminary results shed some light on the high healthcare services volume and direct healthcare costs from clinic to clinic for visits, unnecessary tests, and prescribed treatments in a real-world overview from a cohort of patients of a specialized clinic in Italy. It may represent a starting point for future studies to statistically test and quantify cost reduction after implementing appropriate healthcare pathways.

Inefficiency of public hospitals: a multistage data envelopment analysis in an Italian region.

BACKGROUND: The objective of this study was to assess public hospital efficiency, including quality outputs, inefficiency determinants, and changes to efficiency over time, in an Italian region. To achieve this aim, the study used secondary data from the Veneto region for the years 2018 and 2019. METHODS: A nonparametric approach-that is, multistage data envelopment analysis (DEA)-was applied to a sample of 43 hospitals. We identified three categories of input: capital investments (Beds), labor (FTE), operating expenses. We selected five efficiency outputs (outpatient visits, inpatients, outpatient visit revenue, inpatient revenue, bed occupancy rate) and two quality outputs (mortality rate and inappropriate admission rate). Efficiency scores were estimated and decomposed into two components. Slack analysis was then conducted. Further, DEA efficiency scores were regressed on internal and external variables using a Tobit model. Finally, the Malmquist Productivity Index was applied. RESULTS: On average, the hospitals in the Veneto region operated at more than 95% efficiency. Technical and scale inefficiencies often occurred jointly, with 77% of inefficient hospitals needing a downsizing strategy to gain efficiency. The inputs identified as needing significant reductions were full-time employee (FTE) administrative staff and technicians. The size of the hospital in relation to the size of the population served and the length of patient stay were important factors for the efficiency score. The major cause of decreased efficiency over time was technical change (0.908) rather than efficiency change (0.974). CONCLUSIONS: The study reveals improvements that should be made from both the policy and managerial perspectives. Hospital size is an important feature of inefficiency. On average, the results show that it is advisable for hospitals to reorganize nonmedical staff to enhance efficiency. Further, increasing technology investment could enable higher efficiency levels.