TY - JOUR
T1 - Making Use of Comparable Health Data to Improve Quality of Care and Outcomes in Diabetes
T2 - The EUBIROD Review of Diabetes Registries and Data Sources in Europe
AU - Carinci, Fabrizio
AU - Štotl, Iztok
AU - Cunningham, Scott G.
AU - Poljicanin, Tamara
AU - Pristas, Ivan
AU - Traynor, Vivie
AU - Olympios, George
AU - Scoutellas, Vasos
AU - Azzopardi, Joseph
AU - Doggen, Kris
AU - Sandor, János
AU - Adany, Roza
AU - Løvaas, Karianne F.
AU - Jarosz-Chobot, Przemka
AU - Polanska, Joanna
AU - Pruna, Simion
AU - de Lusignan, Simon
AU - Monesi, Marcello
AU - Di Bartolo, Paolo
AU - Scheidt-Nave, Christa
AU - Heidemann, Christin
AU - Zucker, Inbar
AU - Maurina, Anita
AU - Lepiksone, Jana
AU - Rossing, Peter
AU - Arffman, Martti
AU - Keskimäki, Ilmo
AU - Gudbjornsdottir, Soffia
AU - Di Iorio, Concetta Tania
AU - Dupont, Elisabeth
AU - de Sabata, Stella
AU - Klazinga, Niek
AU - Benedetti, Massimo Massi
N1 - Publisher Copyright:
Copyright © 2021 Carinci, Štotl, Cunningham, Poljicanin, Pristas, Traynor, Olympios, Scoutellas, Azzopardi, Doggen, Sandor, Adany, Løvaas, Jarosz-Chobot, Polanska, Pruna, de Lusignan, Monesi, Di Bartolo, Scheidt-Nave, Heidemann, Zucker, Maurina, Lepiksone, Rossing, Arffman, Keskimäki, Gudbjornsdottir, Di Iorio, Dupont, de Sabata, Klazinga and Benedetti.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - diabetes
KW - diabetes registries
KW - health information
KW - performance indicators
KW - quality of care
KW - risk adjustment
UR - http://www.scopus.com/inward/record.url?scp=85133384546&partnerID=8YFLogxK
U2 - 10.3389/fcdhc.2021.744516
DO - 10.3389/fcdhc.2021.744516
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AN - SCOPUS:85133384546
SN - 2673-6616
VL - 2
JO - Frontiers in Clinical Diabetes and Healthcare
JF - Frontiers in Clinical Diabetes and Healthcare
M1 - 744516
ER -