From data collection to action: Health registry data in chronic care management and policy
Abstract
Administrative health registry data are often promoted as key to more efficient, equitable, and evidence-informed chronic disease care. In theory, they allow healthcare utilization to be mapped across providers in near real time. In practice, their impact has been modest. Drawing on recent literature, this perspective article examines the limitations of registry data and how these may be addressed. We argue that registry data offer valuable insight into unintended variation in care at the system level. They expose gaps between clinical guidelines and real-world practices, identify subgroups at high risk for adverse outcomes, and enable cost-effective studies of policy changes and interventions. However, registry data cannot fully capture clinical decision-making, treatment content, patient preferences, or patient-centered outcomes. Despite comprehensive coverage, legislative barriers, data protection regulations, and incompatible software systems still prevent effective data sharing between healthcare sectors. Insufficient investment in skilled data analysts further limits their practical use for resource allocation, capacity planning, and equity analysis. To address these constraints, registry data should be combined with clinical and socioeconomic indicators, patient-reported outcomes, and perspectives from patients and providers. Practical utility depends on integration into organizational routines, analytic infrastructures, and team-based decision-making. Ideally, automated systems should deliver insights tailored to national policymakers, regional and local health managers, in order to directly inform decision-making. We propose a framework outlining key components of such a system to bridge the gap between data availability and actionable insights for chronic disease management.
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BibTeX
@article{moger2026from,
title = {{From data collection to action: Health registry data in chronic care management and policy}},
author = {Tron Anders Moger and Trond Tjerbo and Nina Vøllestad and Ragnhild Hellesø and Jon Helgheim Holte and Olav Amundsen and Line K. Bragstad and Silje Bjørnsen Haavaag and Melker S. Johansson and Allan Abbott and Paul Enthoven and Eric Brugman and Bård Natvig and Roar Robinson and Anne Edvardsen and Søren Grøn and Aud Uhlen Obstfelder and Alice Kongsted},
journal = {Journal of Public Health Research},
year = {2026},
month = oct,
doi = {10.1177/22799036261495552},
url = {https://doi.org/10.1177/22799036261495552},
note = {CC BY},
}
RIS
TY - JOUR
TI - From data collection to action: Health registry data in chronic care management and policy
AU - Tron Anders Moger
AU - Trond Tjerbo
AU - Nina Vøllestad
AU - Ragnhild Hellesø
AU - Jon Helgheim Holte
AU - Olav Amundsen
AU - Line K. Bragstad
AU - Silje Bjørnsen Haavaag
AU - Melker S. Johansson
AU - Allan Abbott
AU - Paul Enthoven
AU - Eric Brugman
AU - Bård Natvig
AU - Roar Robinson
AU - Anne Edvardsen
AU - Søren Grøn
AU - Aud Uhlen Obstfelder
AU - Alice Kongsted
PY - 2026
DA - 2026/10/23
JO - Journal of Public Health Research
DO - 10.1177/22799036261495552
UR - https://doi.org/10.1177/22799036261495552
AB - Administrative health registry data are often promoted as key to more efficient, equitable, and evidence-informed chronic disease care. In theory, they allow healthcare utilization to be mapped across providers in near real time. In practice, their impact has been modest. Drawing on recent literature, this perspective article examines the limitations of registry data and how these may be addressed. We argue that registry data offer valuable insight into unintended variation in care at the system level. They expose gaps between clinical guidelines and real-world practices, identify subgroups at high risk for adverse outcomes, and enable cost-effective studies of policy changes and interventions. However, registry data cannot fully capture clinical decision-making, treatment content, patient preferences, or patient-centered outcomes. Despite comprehensive coverage, legislative barriers, data protection regulations, and incompatible software systems still prevent effective data sharing between healthcare sectors. Insufficient investment in skilled data analysts further limits their practical use for resource allocation, capacity planning, and equity analysis. To address these constraints, registry data should be combined with clinical and socioeconomic indicators, patient-reported outcomes, and perspectives from patients and providers. Practical utility depends on integration into organizational routines, analytic infrastructures, and team-based decision-making. Ideally, automated systems should deliver insights tailored to national policymakers, regional and local health managers, in order to directly inform decision-making. We propose a framework outlining key components of such a system to bridge the gap between data availability and actionable insights for chronic disease management.
SN - 2279-9036
ER -