Development of the Central Africa Daily Functioning Interference Scale for Dementia Diagnosis in Older Adults: The EPIDEMCA Study.


Journal

Dementia and geriatric cognitive disorders
ISSN: 1421-9824
Titre abrégé: Dement Geriatr Cogn Disord
Pays: Switzerland
ID NLM: 9705200

Informations de publication

Date de publication:
2019
Historique:
received: 15 03 2018
accepted: 08 08 2018
pubmed: 11 1 2019
medline: 18 12 2019
entrez: 11 1 2019
Statut: ppublish

Résumé

There are a few validated tools capable of assessing the dimensions essential for the diagnosis of dementia and cognitive disorders in sub-Saharan Africa. Our aim was to develop an adapted tool, the Central African - Daily Functioning Interference (DFI) scale. An initial 16-item scale of activity limitations and participation restrictions was completed by 301 participants with low cognitive performances to assess their level of DFI. A psychometric evaluation was performed using Item Response Theory. A unidimensional 10-item scale emerged with a reasonable coverage of DFI (thresholds range: -1.067 to 1.587) with good item discrimination properties (1.397-4.076) and a high reliability (Cronbach's al pha = 0.92). The cutoff for detecting 96% of those with dementia was with a latent score ≥0.035 that corresponds to the LAUNDRY limitation. These results provide valuable support for the reliability and internal validity of an operational 10-item scale for DFI assessment used in Central Africa for the diagnosis of dementia in the elderly.

Sections du résumé

BACKGROUND
There are a few validated tools capable of assessing the dimensions essential for the diagnosis of dementia and cognitive disorders in sub-Saharan Africa.
OBJECTIVES
Our aim was to develop an adapted tool, the Central African - Daily Functioning Interference (DFI) scale.
METHODS
An initial 16-item scale of activity limitations and participation restrictions was completed by 301 participants with low cognitive performances to assess their level of DFI. A psychometric evaluation was performed using Item Response Theory.
RESULTS
A unidimensional 10-item scale emerged with a reasonable coverage of DFI (thresholds range: -1.067 to 1.587) with good item discrimination properties (1.397-4.076) and a high reliability (Cronbach's al pha = 0.92). The cutoff for detecting 96% of those with dementia was with a latent score ≥0.035 that corresponds to the LAUNDRY limitation.
CONCLUSIONS
These results provide valuable support for the reliability and internal validity of an operational 10-item scale for DFI assessment used in Central Africa for the diagnosis of dementia in the elderly.

Identifiants

pubmed: 30630171
pii: 000492782
doi: 10.1159/000492782
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

29-41

Informations de copyright

© 2019 S. Karger AG, Basel.

Auteurs

Arlette Edjolo (A)

Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France, arlette.edjolo@u-bordeaux.fr.
INSERM UMR 1094, Tropical Neuroepidemiology, Faculty of Medicine, Limoges, France, arlette.edjolo@u-bordeaux.fr.

Karine Pérès (K)

Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.

Maëlenn Guerchet (M)

University Limoges, School of Medicine, Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, Limoges, France.
INSERM UMR 1094, Tropical Neuroepidemiology, Faculty of Medicine, Limoges, France.
King's College London, Centre for Global Mental Health, Institute of Psychiatry, Health Service and Population Research Department, London, United Kingdom.

Sophie Pilleron (S)

University Limoges, School of Medicine, Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, Limoges, France.
INSERM UMR 1094, Tropical Neuroepidemiology, Faculty of Medicine, Limoges, France.

Bébène Ndamba-Bandzouzi (B)

Department of Neurology, Amitié Hospital, Bangui, Central African Republic.

Pascal Mbelesso (P)

University Limoges, School of Medicine, Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, Limoges, France.
INSERM UMR 1094, Tropical Neuroepidemiology, Faculty of Medicine, Limoges, France.
Department of Neurology, Brazzaville University Hospital, Brazzaville, Congo.

Jean-Pierre Clément (JP)

University Limoges, School of Medicine, Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, Limoges, France.
INSERM UMR 1094, Tropical Neuroepidemiology, Faculty of Medicine, Limoges, France.
Hospital and University Federation of Adult and Geriatric Psychiatry, Limoges, France.

Jean-François Dartigues (JF)

Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.

Pierre-Marie Preux (PM)

University Limoges, School of Medicine, Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, Limoges, France.
INSERM UMR 1094, Tropical Neuroepidemiology, Faculty of Medicine, Limoges, France.
CHU, Department of Medical Information and Evaluation, Clinical Research and Biostatistics Unit, Limoges, France.

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