The CreG (Chronic Related Group) model to prompt integrated chronic care management: the experience of Lombardy Region

Nearly one-third of the population live with some chronic conditions in Lombardy (3.5 millions out of more than 10 million residents), while expenditure on chronic diseases in the region accounts for about 75% of the of the Region’s overall health care spending. In order to improve chronic care mana...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of integrated care 2016-12, Vol.16 (6), p.364
Hauptverfasser: Fait, Antonella, Agnello, Mauro, Sciré, Carlo, Bergamaschi, Walter
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Nearly one-third of the population live with some chronic conditions in Lombardy (3.5 millions out of more than 10 million residents), while expenditure on chronic diseases in the region accounts for about 75% of the of the Region’s overall health care spending. In order to improve chronic care management through a population-based approach, in 2011 the Region launched a new model for chronic care, named CReG (Chronic Related Groups), starting with five Local Health Authorities (LHAs) as piloting settings, built on a health-based risk-adjusted capitated payment system, and on the provision of integrated and personalised care pathways (PCP).The paper presents the most significant achievements of the CReG model, and highlights the main methodological and organisational challenges, in comparison with similar experience at international level.The CReG clinical-risk adjustment model is built on three fundamental steps: classification of diseases, a grouping system, and a tariff rate estimation and validation model. Chronic patients to be enrolled in the pilot study were identified through disease-specific algorithms combining data on inpatient diagnosis/procedures (ICD-9-CM), outpatient drug delivery and services, systematically collected by the regional administrative databases (the BDA or ‘Banca Dati Assistito’). All diagnoses were ranked based on the overall associated costs to the Regional Healthcare Service (RHS). The hierarchical grouping system (CReG grouper) relied on this ranking, providing a classification of the regional population into clinically-homogeneous categories (approximately 200), each corresponding to mono- or polypathologic conditions, according to a decreasing order of disease severity and costs. A prospective payment system was set up for each CReG Category, to provide an overall bundle tariff accounting for a one-year period of care (including pharmacy and outpatient services). The pilot programme has been managed in the Primary Care setting, through GP-cooperatives (CReG Manager) with several tools supporting care planning activities and the actual implementation of integrated clinical pathways (ICPs), based on prospective and flexible Personalized Care Plans (PCP), in particular:- Evidence-Based Clinical Pathways (EBCPs),- the so-called ‘Expected Healthcare Service List’ (EHSL), statistically estimated on the basis of 1-year historical consumptions,- an IT system developed ad-hoc,- a Care Management Service (CMS), set up by the GP-Co
ISSN:1568-4156
1568-4156
DOI:10.5334/ijic.2912