Evidence map›Paper›PMID 41158577›Full record

ArticleFrontiers in public health2025

A taxonomy of indicators for non-communicable diseases: agreement, definition, and contextual description using diabetes as a case study.

Fabrizio Carinci, Tamara Poljičanin, Scott Cunningham, Stephen Fava, Iztok Štotl, Jana Lepiksone, Nicholas Nicholson, Massimo Massi Benedetti, Niek Klazinga

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Fabrizio CarinciUnicamillus International Medical University, Rome, Italy.
Tamara PoljičaninZagreb County Health Center, Samobor, Croatia.
Scott CunninghamClinical Technology Centre, Ninewells Hospital, Dundee, United Kingdom.
Stephen FavaDepartment of Medicine, Mater Dei Hospital of Malta, Msida, Malta.
Iztok ŠtotlDepartment of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Jana LepiksoneDepartment of Research and Health Statistics, The Centre for Disease Prevention and Control, Riga, Latvia.
Nicholas NicholsonEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Massimo Massi BenedettiHub for International Health Research, Perugia, Italy.
Niek KlazingaDepartment of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Collaborative Health Information European Framework (CHIEF) is an initiative led by the Joint Research Centre (JRC) of the European Commission to enable a sustainable data collection and production of indicators to monitor and evaluate best practices for people with NCDs. Objectives: We aimed to support international assessment and comparability of NCD indicators through a taxonomy of NCD indicators, a core set of measurable diabetes indicators and high-level policy recommendations. Materials and methods: The study is an expert review run by the multidisciplinary expert group "CHIEF-diabetes.dwg" between 2022 and 2024. The group convened on several remote and in-presence meetings. A common set of key references were identified to underpin collective discussions and agree on the fundamental criteria for the selection of indicators. An iterative process was followed to reach agreement and release final recommendations. Results: A taxonomy of NCD indicators and relevant stakeholders was identified to guide the selection process. A core set of diabetes indicators was agreed, including: diabetes incidence and prevalence rate, retinopathy prevalence rate, major lower extremity amputation incidence rate, blindness rate and rate of end stage renal disease. Measurement issues across chronic diseases and data collection were included in recommendations to the EU. Discussion: The taxonomies and core set of diabetes indicators identified by the expert group may be used as a proof of concept of a collaborative European framework. The expert group recommended: (a) to determine the purpose of NCD indicators in advance; (b) to prioritise actionable indicators for the high-level governance of chronic diseases; (c) to align with existing standardisation processes; (d) to build on the experience of existing registries; and (e) to align with current efforts to strengthen the EU data infrastructure. Conclusion: The expert group delivered general guidance on criteria and principles for the selection of NCD indicators, using diabetes as a case study. The core set of six diabetes indicators can be used as a field-test for future reporting initiatives. In this context, disease registries can provide the high-quality data needed to compute reliable indicators. Targeted projects are needed to design a cohesive health information system of NCD indicators.

Indexed as

Diabetes MellitusHealth Status IndicatorsNoncommunicable DiseasesEuropeHumansdiabetesEU health information systemsEuropean health data spaceNCD indicatorsquality of care and outcomes

Identifiers

PMID41158577
PMCPMC12554757

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.