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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 56 out of 100. Getting a diagnosis

Topic: Risk, prevention and care in population studies

The rural setting presented unique challenges including: low literacy rates (60.1% of participants had no schooling), diverse language use (primarily Giriama and Swahili), limited infrastructure (e.g., 44.8% of households had electricity), restrictive cultural norms that influenced data collection (e.g., in-home interviews were often conducted outdoors with destructions). Key adaptations included: translating and culturally adapting test items (e.g., using local Swahili dialects and culturally relevant examples), recruiting and training local enumerators who were familiar with the community, culture and language, iterative pre-testing and using roleplay helped to ensure that enumerator scoring was consistent, accurate, and reliable. contextualization of tool and data collection strategies included: adjusting data collection methods to accommodate cultural practices and environmental limitations, for example, allowing respondents to use their preferred language for "animal naming," using paper and pen for some test items for which participants experienced difficulty using tablets, paying close special attention to time and season of administration, and adopting strategies to minimize background noise and other environmental distractions (e.g., due to rain, lunch hour, planting and harvesting, and school holidays). Prior to data collection, it was essential to engage local community health volunteers (CHVs), build rapport with participants, explain the study, and describe the idiosyncrasies of cognitive testing. The study emphasizes the importance of cultural sensitivity, linguistic appropriateness, and community engagement in cognitive assessment in diverse, resource-constrained settings. The findings offer practical recommendations for researchers aiming to conduct cognitive assessments in similar populations, contributing to the development of culturally sensitive and effective tools for understanding and addressing cognitive health in aging populations.

Key findings

Why it matters

This paper describes strategies for adapting cognitive tests for use in a rural low-resource setting in Kenya. It is about improving assessment methods, not treating, curing, or preventing Alzheimer's disease.

Study details

How this study scored 56/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 2 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 2 of 4; Effect reported 2 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 1 of 7; Citations per year 1 of 5; Impact for its field and year 2 of 6; Cited by studies here 0 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 2 of 3; Multi-centre collaboration 3 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 56 of 100.56 of 100 points earned44 not earned

Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Alzheimer s & Dementia)
Journal's citation record 2 / 4 Alzheimer s & Dementia: journal h-index 228 (OpenAlex, 2026-10-29)
Study design 7 / 12 A longitudinal study following the same people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 2 / 4 202 participants
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 1 / 7 Cited 4 times (OpenAlex, 2026-10-10)
Citations per year 1 / 5 1.3 citations a year over 3 year(s) since 2025
Impact for its field and year 2 / 6 Cited 2.5× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 1 / 4 Cited 4 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Anthony K. Ngugi: h-index 29 (OpenAlex, whole career)
Institution's track record 2 / 3 Johns Hopkins University: institution h-index 2,306 (OpenAlex)
Multi-centre collaboration 3 / 3 OpenAlex lists 11 institution(s) in 3 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 40835849)
Free to read 2 / 2 Free to read
Total 56 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Riang’a, R. M., Mwangi, E. M., Nagarajan, N., Agoi, F., Mwangala, P. N., Gross, A. L., et al. (2025). Contextualization of Harmonized Cognitive Assessment Protocol (HCAP) in an aging population in rural low‐resource settings in Africa: Experiences and strategies adopted to optimize effective adaption of cognitive tests in Kenya. Alzheimer s & Dementia. https://doi.org/10.1002/alz.70552

Vancouver

Riang’a RM, Mwangi EM, Nagarajan N, Agoi F, Mwangala PN, Gross AL, et al. Contextualization of Harmonized Cognitive Assessment Protocol (HCAP) in an aging population in rural low‐resource settings in Africa: Experiences and strategies adopted to optimize effective adaption of cognitive tests in Kenya. Alzheimer s & Dementia. 2025. doi:10.1002/alz.70552. PMID: 40835849.

BibTeX

@article{rianga2025-40835849,
  author  = {Riang’a, Roselyter Monchari and Mwangi, Eunice Muthoni and Nagarajan, Niranjani and Agoi, Felix and Mwangala, Patrick Nzivo and Gross, Alden L. and Ikanga, Jean N. and Langa, Kenneth M. and others},
  title   = {{Contextualization of Harmonized Cognitive Assessment Protocol (HCAP) in an aging population in rural low‐resource settings in Africa: Experiences and strategies adopted to optimize effective adaption of cognitive tests in Kenya}},
  journal = {Alzheimer s \& Dementia},
  year    = {2025},
  doi     = {10.1002/alz.70552},
  pmid    = {40835849},
  url     = {https://doi.org/10.1002/alz.70552}
}

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Referenced by this study and also in the alzhub library, so you can read them here.

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