A conceptual framework to assess the health, socioeconomic and environmental burden of chronic kidney disease.

Chronic kidney disease (CKD) is a global health challenge that affects patients, caregivers, healthcare systems, the environment and national economies. Despite its far-reaching impact, there is no framework to systematically evaluate national CKD prevention and management programmes or evaluate the societal burden of disease. This paper has two objectives: first, to introduce a comprehensive framework to assess national programmes, which recognises gaps and weaknesses and identifies feasible policy interventions to reduce overall CKD burden; second, to present some key challenges and success stories in delivering CKD services delivered in eight different country settings.

Socio-ethical challenges and opportunities for advancing diversity, equity, and inclusion in digital medicine.

Digitalization in medicine offers a significant opportunity to transform healthcare systems by providing novel digital tools and services to guide personalized prevention, prediction, diagnosis, treatment and disease management. This transformation raises a number of novel socio-ethical considerations for individuals and society as a whole, which need to be appropriately addressed to ensure that digital medical devices (DMDs) are widely adopted and benefit all patients as well as healthcare service providers. In this narrative review, based on a broad literature search in PubMed, Web of Science, Google Scholar, we outline five core socio-ethical considerations in digital medicine that intersect with the notions of equity and digital inclusion: (i) access, use and engagement with DMDs, (ii) inclusiveness in DMD clinical trials, (iii) algorithm fairness, (iv) surveillance and datafication, and (v) data privacy and trust.

Mapping the regulatory landscape for artificial intelligence in health within the European Union.

Regulatory frameworks for artificial intelligence (AI) are needed to mitigate risks while ensuring the ethical, secure, and effective implementation of AI technology in healthcare and population health. In this article, we present a synthesis of 141 binding policies applicable to AI in healthcare and population health in the EU and 10 European countries. The EU AI Act sets the overall regulatory framework for AI, while other legislations set social, health, and human rights standards, address the safety of technologies and the implementation of innovation, and ensure the protection and safe use of data.

Understanding factors impacting patient-reported outcome measures integration in routine clinical practice: an umbrella review.

Purpose: Patient-report outcome measures (PROMs) have gained widespread support as a mechanism to improve healthcare quality. We aimed to map out key enablers and barriers influencing PROMs implementation strategies in routine clinical practice.

Methods: An umbrella review was conducted to identify reviews exploring enablers and barriers related to the integration of PROMs in routine clinical practice from January 2000 to June 2023.

Testing an online screening for autism in the COVID-19 pandemic: a psychometric study of the Q-CHAT-24 in Chilean toddlers.

Background: The aim of this study was to examine some psychometric characteristics of the Chilean-adapted version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT-24) (24) in a group of unselected children (community sample). This version was administered remotely through an online version during the pandemic period to caregivers of children, aged 18-24 months, registered in four primary care polyclinics of the Health Service Araucanía Sur, Chile.

Methods: An intentional non-probabilistic sampling was used.