Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy.
Adjusted morbidity groups
Chronic diseases
Health Risk Assessment
Healthcare Administrative databases
Integrated Care
Multimorbidity
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
17 Oct 2024
17 Oct 2024
Historique:
received:
13
12
2023
accepted:
14
10
2024
medline:
18
10
2024
pubmed:
18
10
2024
entrez:
17
10
2024
Statut:
epublish
Résumé
Population-based Health Risk Assessment (HRA) tools are strategic for the implementation of integrated care. Various HRA algorithms have been developed in the last decades worldwide. Their full adoption being limited by technical, functional, and economical factors. This study aims to apply the Adjusted Morbidity Groups (AMG) algorithm in the context of an Italian Region, and evaluate its performance to support decision-making processes in healthcare programming. The pilot study used five Healthcare Administrative Databases (HADs) covering the period 2015-2021. An iterative semi-automated procedure was developed to extract, filter, check and merge the data. A technical manual was developed to describe the process, designed to be standardized, reproducible and transferable. AMG algorithm was applied and descriptive analysis performed. A dashboard structure was developed to exploit the results of the tool. AMG produced information on the health status of Marche citizens, highlighting the presence of chronic conditions from age 45 years. Persons with high and very high level of complexity showed elevated mortality rates and an increased use of healthcare resources. A visualization dashboard was intended to provide to relevant stakeholders accessible, updated and ready-to-use aggregated information on the health status of citizens and additional insight on the use of the healthcare services and resources by specific groups of citizens. The flexibility of the AMG, together with its ability to support policymakers and clinical sector, could favour its implementation in different scenarios across Europe. A clear strategy for the adoption of HRA tools and related key elements and lessons learnt for a successful transferability at the EU level were defined. HRA strategies should be considered a pillar of healthcare policies and programming to achieve person-centred care and promote the sustainability of the EU healthcare systems.
Sections du résumé
BACKGROUND
BACKGROUND
Population-based Health Risk Assessment (HRA) tools are strategic for the implementation of integrated care. Various HRA algorithms have been developed in the last decades worldwide. Their full adoption being limited by technical, functional, and economical factors. This study aims to apply the Adjusted Morbidity Groups (AMG) algorithm in the context of an Italian Region, and evaluate its performance to support decision-making processes in healthcare programming.
METHODS
METHODS
The pilot study used five Healthcare Administrative Databases (HADs) covering the period 2015-2021. An iterative semi-automated procedure was developed to extract, filter, check and merge the data. A technical manual was developed to describe the process, designed to be standardized, reproducible and transferable. AMG algorithm was applied and descriptive analysis performed. A dashboard structure was developed to exploit the results of the tool.
RESULTS
RESULTS
AMG produced information on the health status of Marche citizens, highlighting the presence of chronic conditions from age 45 years. Persons with high and very high level of complexity showed elevated mortality rates and an increased use of healthcare resources. A visualization dashboard was intended to provide to relevant stakeholders accessible, updated and ready-to-use aggregated information on the health status of citizens and additional insight on the use of the healthcare services and resources by specific groups of citizens.
CONCLUSION
CONCLUSIONS
The flexibility of the AMG, together with its ability to support policymakers and clinical sector, could favour its implementation in different scenarios across Europe. A clear strategy for the adoption of HRA tools and related key elements and lessons learnt for a successful transferability at the EU level were defined. HRA strategies should be considered a pillar of healthcare policies and programming to achieve person-centred care and promote the sustainability of the EU healthcare systems.
Identifiants
pubmed: 39420326
doi: 10.1186/s12889-024-20398-9
pii: 10.1186/s12889-024-20398-9
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2869Subventions
Organisme : European Union's Health Programme (2014-2020)
ID : 951442
Organisme : European Union's Health Programme (2014-2020)
ID : 951442
Organisme : European Union's Health Programme (2014-2020)
ID : 951442
Organisme : European Union's Health Programme (2014-2020)
ID : 951442
Organisme : European Union's Health Programme (2014-2020)
ID : 951442
Organisme : European Union's Health Programme (2014-2020)
ID : 951442
Organisme : European Union's Health Programme (2014-2020)
ID : 951442
Organisme : European Union's Health Programme (2014-2020)
ID : 951442
Informations de copyright
© 2024. The Author(s).
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