Evidence map›Paper›PMID 32964799›Full record

ArticleJournal of geriatric psychiatry and neurology2021

Effectiveness of App-Based Cognitive Screening for Dementia by Lay Health Workers in Low Resource Settings. A Validation and Feasibility Study in Rural Tanzania.

Stella-Maria Paddick, Marcella Yoseph, William K Gray, Damas Andrea, Robyn Barber, Aofie Colgan, Catherine Dotchin, Sarah Urasa, John Kissima, Irene Haule and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of geriatric psychiatry and neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  15. Dementia in Africa: Current evidence, knowledge gaps, and future directions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 2 countries.

Stella-Maria PaddickNewcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-5409-0879
Marcella Yoseph108095Kilimanjaro Christian Medical University College, Moshi, Tanzania.
William K GrayNorthumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, United Kingdom.ORCID 0000-0002-9597-5446
Damas AndreaMirembe National Hospital, Dodoma, Tanzania.
Robyn BarberNewcastle University, Newcastle upon Tyne, United Kingdom.
Aofie ColganNewcastle University, Newcastle upon Tyne, United Kingdom.
Catherine DotchinNewcastle University, Newcastle upon Tyne, United Kingdom.
Sarah Urasa108095Kilimanjaro Christian Medical University College, Moshi, Tanzania.
John KissimaHai District Hospital, Boman'gombe, Kilimanjaro, Tanzania.
Irene HauleHai District Hospital, Boman'gombe, Kilimanjaro, Tanzania.
Aloyce Kisoli108095Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Jane Rogathi108095Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Ssenku SaficMount Meru Hospital, Arusha, Tanzania.
Declare Mushi108095Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Louise RobinsonNewcastle University, Newcastle upon Tyne, United Kingdom.
Richard W WalkerNewcastle University, Newcastle upon Tyne, United Kingdom.
Kilimanjaro Christian Medical Centre · TZNewcastle University · GBNorth Tyneside General Hospital · GBMount Meru University · TZMuhimbili National Hospital · TZ

Funding

Department of Health 16/137/62
6 · The paper itself

Abstract

backgroundThe majority of people with dementia live in low-and middle-income countries (LMICs). In sub-Saharan Africa (SSA) human-resource shortages in mental health and geriatric medicine are well recognized. Use of technological solutions may improve access to diagnosis. We aimed to assess the diagnostic accuracy of a brief dementia screening mobile application (app) for non-specialist workers in rural Tanzania against blinded gold-standard diagnosis of DSM-5 dementia. The app includes 2 previously-validated culturally appropriate low-literacy screening tools for cognitive (IDEA cognitive screen) and functional impairment (abbreviated IDEA-IADL questionnaire).

methodsThis was a 2-stage community-based door-to-door study. In Stage1, rural primary health workers approached all individuals aged ≥60 years for app-based dementia screening in 12 villages in Hai district, Kilimanjaro Tanzania.In Stage 2, a stratified sub-sample were clinically-assessed for dementia blind to app screening score. Assessment included clinical history, neurological and bedside cognitive assessment and collateral history.

results3011 (of 3122 eligible) older people consented to screening. Of these, 610 were evaluated in Stage 2. For the IDEA cognitive screen, the area under the receiver operating characteristic (AUROC) curve was 0.79 (95% CI 0.74-0.83) for DSM-5 dementia diagnosis (sensitivity 84.8%, specificity 58.4%). For those 358 (44%) completing the full app, AUROC was 0.78 for combined cognitive and informant-reported functional assessment.

conclusionsThe pilot dementia screening app had good sensitivity but lacked specificity for dementia when administered by non-specialist rural community workers. This technological approach may be a promising way forward in low-resource settings, specialist onward referral may be prioritized.

Indexed as

DementiaMobile ApplicationsAgedCognitionFeasibility StudiesHumansRural PopulationSensitivity and SpecificityTanzaniacognitiondementialow- and middle-income countriesSub-Saharan AfricaTanzania

Identifiers

PMID32964799
PMCPMC8600584
OpenAlexW3087878082

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.