A blended learning approach for capacity strengthening to improve the quality of integrated HIV, TB, and malaria services during antenatal and postnatal care in LMICs: a feasibility study.

Background: The blended learning (BL) approach to training health care professionals is increasingly adopted in many countries because of high costs and disruption to service delivery in the light of severe human resource shortage in low resource settings. The Covid-19 pandemic increased the urgency to identify alternatives to traditional face-to-face (f2f) education approach. A four-day f2f antenatal care (ANC) and postnatal care (PNC) continuous professional development course (CPD) was repackaged into a 3-part BL course; (1) self-directed learning (16 h) (2) facilitated virtual sessions (2.

Caregiver preferences and willingness-to-pay for home care services for older people with dementia: A discrete choice experiment in the Milan metropolitan area.

Objectives: Dementia is a major health and social care challenge in high-income countries where most people are cared for in their own homes. This study aimed to elicit caregiver preferences for alternative bundles of home care services in the Milan metropolitan area.

Methods: A binary discrete choice experiment was administered to a sample of informal caregivers of people with dementia recruited through a network of non-profit organizations.

Optimizing treatment sequencing in multiple myeloma: a novel model to predict survival outcomes.

Objective: Patients with multiple myeloma (MM) typically require multiple regimens and become harder to treat with each line of treatment. Furthermore, there is a lack of direct comparative clinical trial data to guide effective treatment sequencing. A novel model is described comparing alternative MM treatment sequences to optimize patient outcomes.

Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies.

Background: There is a growing enthusiasm for machine learning (ML) among academics and health care practitioners. Despite the transformative potential of ML-based applications for patient care, their uptake and implementation in health care organizations are sporadic. Numerous challenges currently impede or delay the widespread implementation of ML in clinical practice, and limited knowledge is available regarding how these challenges have been addressed.

Precision oncology implementation in a regional-based health care system: A professional consensus to define the pathway.

Objective: Precision Oncology requires deep changes in organizational settings but little evidence has been identified about the best strategy to guarantee the delivery of this innovation to patients. In the Italian health care system, high heterogeneity could jeopardize equal access opportunity for patients. Following a consensus method, we aim to define shared solutions to address these issues in clinical practice.

Scaling up integrated care: Can community hospitals be an answer? A multiple-case study from the Emilia-Romagna region in Italy.

Integrated care is considered to be essential in improving care for people with chronic conditions who need continuous care. In 2022, the Italian Government asked all regions to build or renovate a massive number of community care facilities, employing European Next Generation funds, to be spent by 2026. Under the theoretical lens of the Structural Contingency Theory, the paper aims at aims at describing the contextual and organizational factors underlying the interconnection between integrated care and community hospitals.

Hybrid managers in an evolving healthcare: Does gender matter?

Introduction: Hybrid managers have the potential to respond to the need for more integrated, responsive and accountable healthcare. Scholars have studied the antecedents of hybridization, but the role of gender has been neglected. Therefore, we study whether and how gender impacts on the way in which medical professionals exercise their managerial role.

Breast-cancer specific comprehensive archive of Patient-Reported Outcome Measures (PROMs) for clinical research and clinical practice in oncology: Results from the PRO4All project.

Background: Inclusion of patient-reported outcomes (PROs) in oncology clinical trials is strongly recommended. However, selecting the most appropriate patient-reported outcome measures (PROMs) is not easy. This study aimed to develop a breast cancer (BC) specific comprehensive archive of PROMs.

"Towards harmonizing assessment and reimbursement of digital medical devices in the EU through mutual learning".

Digital medical devices (DMDs) present unique opportunities in their regulation and reimbursement. A dynamic landscape of DMD assessment frameworks is emerging within the European Union, with five clusters of prevailing approaches identified. Despite notable gaps in maturity levels, cross-country learning effects are becoming prevalent.

Exploring the potential of digital therapeutics: An assessment of progress and promise.

Digital therapeutics (DTx), a burgeoning subset of digital health solutions, has garnered considerable attention in recent times. These cutting-edge therapeutic interventions employ diverse technologies, powered by software algorithms, to treat, manage, and prevent a wide array of diseases and disorders. Although DTx shows significant promise as an integral component of medical care, its widespread integration is still in the preliminary stages.

Artificial-Intelligence Cloud-Based Platform to Support Shared Decision-Making in the Locoregional Treatment of Breast Cancer: Protocol for a Multidimensional Evaluation Embedded in the CINDERELLA Clinical Trial.

Background: Shared decision-making (SDM) plays a crucial role in breast cancer care by empowering patients and reducing decision regret. Patient decision aids (PtDAs) are valuable tools for facilitating SDM, now available in digital and artificial intelligence (AI)-powered formats to offer increasingly personalized contents. The ongoing CINDERELLA clinical trial (ClinicalTrials.

Elicitation of societal preferences for chronic lymphocytic leukemia's treatments: a discrete choice experiment.

The overall value of treatments for chronic lymphocytic leukemia (CLL) depends on several factors, including preferences of the general population, who contributes to the financing of health systems. This study investigated societal preferences for attributes of CLL treatments in Italy. An online large-scale survey was designed using a discrete choice experiment (DCE) methodology and delivered to the Italian adult general population.

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 development of an archive of patient-reported outcome measures (PROMs) in oncology: The Italian PRO4All project.

Background: Choosing the most adequate measure of patient-reported outcomes (PROs) for a specific medical condition is not straightforward. This study aimed to develop a comprehensive archive of patient-reported outcome measures (PROMs), observer-reported outcome measures (ObsROMs) and caregiver-reported outcome measures (CROMs) in oncology and identify their main characteristics and target outcome domains.

Materials And Methods: As part of the Italian PRO4All Project, we retrieved questionnaires through an extensive search of online databases.