Evidence map›Paper›PMID 36168670›Full record

ArticleInternational journal of methods in psychiatric research2023

Dementia in health claims data: The influence of different case definitions on incidence and prevalence estimates.

Oliver Riedel, Malte Braitmaier, Ingo Langner

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Article in International journal of methods in psychiatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Oliver RiedelLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0002-1721-502X
Malte BraitmaierLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Ingo LangnerLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe epidemiology of dementia subtypes including Alzheimer's disease (AD) and vascular dementia (VD) and their reliance on different case definitions ("algorithms") in health claims data are still understudied.

methodsBased on health claims data, prevalence estimates (per 100 persons), incidence rates (IRs, per 100 person-years), and proportions of AD, VD, and other dementias (oD) were calculated. Five algorithms of increasing strictness considered inpatient/outpatient diagnoses (#1, #2), antidementia drugs (#3) or supportive diagnostics (#4, #5).

resultsAlgorithm 1 detected 213,409 cases (#2: 197,400; #3: 48,688; #4: 3033; #5: 3105), a prevalence for any dementia of 3.44 and an IR of 1.39 (AD: 0.80/0.21, VD: 0.79/0.31). The prevalence decreased by algorithms for any dementia (#2: 3.19; #3: 0.75; #4: 0.04; #5: 0.05) as did IRs (#2: 1.13; #3: 0.18; #4: 0.05, #5: 0.05). Algorithms 1-2, and 4-5 revealed similar proportions of AD (23.3%-26.6%), VD (19.9%-23.2%), and oD (53.1%-53.8%), algorithm 3 estimated 45% (AD), 12.1% (VD), and 43.0% (oD).

conclusionsHealth claims data show lower estimates of AD than previously reported, due to markedly lower prevalent/incident proportions of patients with corresponding codes. Using medication in defining dementia potentially improves estimating the proportion of AD while supportive diagnostics were of limited use.

Indexed as

Alzheimer DiseaseDementia, VascularAlgorithmsHumansIncidencePrevalenceAlzheimer's diseasedementiaepidemiologyhealth claims datavascular dementia

Identifiers

PMID36168670
PMCPMC10242188

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