ArticleAlzheimer's & dementia (New York, N. Y.)2022
Identification of dementia and MCI cases in health information systems: An Italian validation study.
Article in Alzheimer's & dementia (New York, N. Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Major Adverse Cognitive Events (MACE-Cog): A New "MACE" Framework for Cognitive Outcomes in Cardiovascular Diseases and Stroke.Circulation · 2026Review
- Hypertension, Diabetes and Depression as Modifiable Risk Factors for Dementia: A Common Data Model Approach in a Population-Based Cohort, with Study Protocol and Preliminary Results.Journal of clinical medicine · 2025Article
- Methods used to construct disability indicators in linked administrative datasets: a systematic scoping review.Population health metrics · 2025Article
- Herpes zoster as risk factor for dementia: a matched cohort study over 20 years in a 10-million population in Italy.The journal of prevention of Alzheimer's disease · 2025Article
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- Advancing dementia care: a review of Italy's public health response within the WHO Global Action Plan and European strategies.BMJ public health · 2025Article
- Estimating the burden of dementia and parkinsonism through a novel identification algorithm based on healthcare administrative data.Frontiers in public health · 2025Article
- A new national survey of centers for cognitive disorders and dementias in Italy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Incidence and Prevalence of Dementia: A 2015-2020 Population-Based Study in the Campania Region of Italy.Neuroepidemiology · 2024Article
- Identification of dementia and MCI cases in health information systems: An Italian validation study.Alzheimer's & dementia (New York, N. Y.) · 2022Article
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22 authors.
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Abstract
Introduction: The identification of dementia cases through routinely collected health data represents an easily accessible and inexpensive method to estimate the prevalence of dementia. In Italy, a project aimed at the validation of an algorithm was conducted. Methods: The project included cases (patients with dementia or mild cognitive impairment [MCI]) recruited in centers for cognitive disorders and dementias and controls recruited in outpatient units of geriatrics and neurology. The algorithm based on pharmaceutical prescriptions, hospital discharge records, residential long-term care records, and information on exemption from health-care co-payment, was applied to the validation population. Results: The main analysis was conducted on 1110 cases and 1114 controls. The sensitivity, specificity, and positive and negative predictive values in discerning cases of dementia were 74.5%, 96.0%, 94.9%, and 79.1%, respectively, whereas in detecting cases of MCI these values were 29.7%, 97.5%, 92.2%, and 58.1%, respectively. The variables associated with misclassification of cases were also identified. Discussion: This study provided a validated algorithm, based on administrative data, which can be used to identify cases with dementia and, with lower sensitivity, also early onset dementia but not cases with MCI.
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