Evidence map›Paper›PMID 36994337›Full record

ReviewFrontiers in clinical diabetes and healthcare2021

Making Use of Comparable Health Data to Improve Quality of Care and Outcomes in Diabetes: The EUBIROD Review of Diabetes Registries and Data Sources in Europe.

Fabrizio Carinci, Iztok Štotl, Scott G Cunningham, Tamara Poljicanin, Ivan Pristas, Vivie Traynor, George Olympios, Vasos Scoutellas, Joseph Azzopardi, Kris Doggen and 23 more

Full text readReview
In one paragraph

Review in Frontiers in clinical diabetes and healthcare, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Fabrizio CarinciDepartment of Statistical Sciences, University of Bologna, Bologna, Italy.
Iztok ŠtotlDepartment of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Scott G CunninghamDepartment of Population Health and Genomics, University of Dundee, Dundee, United Kingdom.
Tamara PoljicaninDivision for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia.
Ivan PristasDivision for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia.
Vivie TraynorDiabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus.
George OlympiosDiabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus.
Vasos ScoutellasDiabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus.
Joseph AzzopardiDepartment of Medicine, University of Malta, Msida, Malta.
Kris DoggenHealth Services Research, Sciensano, Brussels, Belgium.
János SandorDepartment of Public Health and Epidemiology, School of Health Sciences, University of Debrecen, Debrecen, Hungary.
Roza AdanyDepartment of Public Health and Epidemiology, School of Health Sciences, University of Debrecen, Debrecen, Hungary.
Karianne F LøvaasNorwegian Diabetes Register for Adults, Norwegian Organisation for Quality Improvement of Laboratory Examinations (Noklus), Haraldsplass Deaconess Hospital, Bergen, Norway.
Przemka Jarosz-ChobotDepartment of Children's Diabetology, Medical University of Silesia, Katowice, Poland.
Joanna PolanskaDepartment of Data Science and Engineering, The Silesian University of Technology, Gliwice, Poland.
Simion PrunaTelemedica Consulting, Bucharest, Romania.
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Marcello MonesiDiabetes Unit "Sant'Anna" Hospital Ferrara, Ferrara, Italy.
Paolo Di BartoloAssociazione Medici Diabetologi (AMD), Rome, Italy.
Christa Scheidt-NaveDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Christin HeidemannDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Inbar ZuckerIsrael Center for Disease Control, Ministry of Health, Ramat Gan, Israel.
Anita MaurinaResearch and Health Statistics Department, Centre for Disease Prevention and Control of Latvia, Riga, Latvia.
Jana LepiksoneResearch and Health Statistics Department, Centre for Disease Prevention and Control of Latvia, Riga, Latvia.
Peter RossingSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Martti ArffmanWelfare State Research and Reform Unit, Finnish Institute for Health and Welfare (THL), Helsinki, Finland.
Ilmo KeskimäkiWelfare State Research and Reform Unit, Finnish Institute for Health and Welfare (THL), Helsinki, Finland.
Soffia GudbjornsdottirDepartment of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska Hospital, Gothenburg, Sweden.
Concetta Tania Di IorioSerectrix snc, Pescara, Italy.
Elisabeth DupontInternational Diabetes Federation European Region, Brussels, Belgium.
Stella de SabataInternational Diabetes Federation European Region, Brussels, Belgium.
Niek KlazingaDepartment of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, Amsterdam, Netherlands.
Massimo Massi BenedettiInternational Diabetes Federation European Region, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Registries and data sources contain information that can be used on an ongoing basis to improve quality of care and outcomes of people with diabetes. As a specific task of the EU Bridge Health project, we carried out a survey of diabetes-related data sources in Europe. Objectives: We aimed to report on the organization of different sources of diabetes information, including their governance, information infrastructure and dissemination strategies for quality control, service planning, public health, policy and research. Methods: Survey using a structured questionnaire to collect targeted data from a network of collaborating institutions managing registries and data sources in 17 countries in the year 2017. Results: The 18 data sources participating in the study were most frequently academic centres (44.4%), national (72.2%), targeting all types of diabetes (61.1%) covering no more than 10% of the target population (44.4%). Although population-based in over a quarter of cases (27.8%), sources relied predominantly on provider-based datasets (38.5%), fewer using administrative data (16.6%). Data collection was continuous in the majority of cases (61.1%), but 50% could not perform data linkage. Public reports were more frequent (72.2%) as well as quality reports (77.8%), but one third did not provide feedback to policy and only half published ten or more peer reviewed papers during the last 5 years. Conclusions: The heterogeneous implementation of diabetes registries and data sources hampers the comparability of quality and outcomes across Europe. Best practices exist but need to be shared more effectively to accelerate progress and deliver equitable results for people with diabetes.

Indexed as

diabetesdiabetes registrieshealth informationperformance indicatorsquality of carerisk adjustment

Identifiers

PMID36994337
PMCPMC10012140

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read18
measurements read48
Read underepoch 390

Registered trials

None linked

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.