Estimating the burden of dementia and parkinsonism through a novel identification algorithm based on healthcare administrative data.

ABSTRACT:

Introduction

Neurological disorders (ND), particularly dementia and parkinsonism, are major public health challenges in aging populations. Estimating their prevalence and incidence is essential for healthcare resource planning and targeted interventions. This study aims to estimate the burden of these conditions in the Marche region of Italy, using a novel identification approach applied to administrative healthcare data.

Methods

A cross-sectional study was conducted using administrative databases from the Marche region (2016-2021), including drug prescriptions, hospital discharge records, and chronic condition registries. The TREND protocol was used to enhance case identification. Individuals aged 40 and older were included. Age- and sex-adjusted prevalence and incidence ra

SUBMITTER: Sabbatinelli J 

PROVIDER: S-EPMC12611661 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature