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Journal of Alzheimer s Disease
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Psychometric Properties of the Neuropsychiatric Inventory: A Review

Authors: Toni T. Saari; Anne Koivisto; Taina Hintsa; Tuomo Hänninen; Ilona Hallikainen;

Psychometric Properties of the Neuropsychiatric Inventory: A Review

Abstract

Neuropsychiatric symptoms cause a significant burden to individuals with neurocognitive disorders and their families. Insights into the clinical associations, neurobiology, and treatment of these symptoms depend on informant questionnaires, such as the commonly used Neuropsychiatric Inventory (NPI). As with any scale, the utility of the NPI relies on its psychometric properties, but the NPI faces unique challenges related to its skip-question and scoring formats. In this narrative review, we examined the psychometric properties of the NPI in a framework including properties pertinent to construct validation, and health-related outcome measurement in general. We found that aspects such as test-retest and inter-rater reliability are major strengths of the NPI in addition to its flexible and relatively quick administration. These properties are desired in clinical trials. However, the reported properties appear to cover only some of the generally examined psychometric properties, representing perhaps necessary but insufficient reliability and validity evidence for the NPI. The psychometric data seem to have significant gaps, in part because small sample sizes in the relevant studies have precluded more comprehensive analyses. Regarding construct validity, only one study has examined structural validity with the NPI subquestions. Measurement error was not assessed in the reviewed studies. For future validation, we recommend using data from all subquestions, collecting larger samples, paying specific attention to construct validity and formulating hypotheses a priori . Because the NPI is an outcome measure of interest in clinical trials, examining measurement error could be of practical importance.

Country
Finland
Keywords

validity, SYMPTOMS, Psychometrics, BEHAVIORAL-DISORDERS, Neurocognitive Disorders, Neuropsychiatric Inventory, Review, Assessment, Neuropsychological Tests, Social and Behavioral Sciences, Neurology and psychiatry, Behavioral Neuroscience, Alzheimer's disease, Surveys and Questionnaires, Humans, Quantitative Methods, VALIDITY, Clinical Neuropsychology, Psychiatry, reliability, DEMENTIA, Clinical Neuroscience, PSYCHOPATHOLOGY, Neurosciences, Reproducibility of Results, CONSTRUCT-VALIDATION, behavioral and psychological symptoms of dementia, ALZHEIMERS-DISEASE, Clinical Psychology, RELIABILITY, neuropsychiatric symptoms, Dementia, measurement, CHINESE VERSION, NPI, Neuroscience, dementia

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
Green
hybrid