The NeuroCommunity Ageing Framework: A Nursing Model for Brain-Health Assessment Towards Diagnostic Justice in Minority Older Adults.

Authors

Ziad Dabour

Published in

Journal of advanced nursing. Aug 12, 2026. Epub Aug 12, 2026.

Abstract

To propose the NeuroCommunity Ageing Framework as a nursing-centred theoretical model for integrated brain-health assessment towards diagnostic justice in minority ageing populations.
Discursive theoretical paper presenting a conceptual framework derived from cross-disciplinary synthesis.
A structured theoretical synthesis integrated literature on gerontological nursing, dementia epidemiology, multidomain prevention, clinical pharmacology, family caregiving, culturally responsive care, service access and systemic factors relevant to blood-based Alzheimer's disease biomarkers.
The framework integrates metabolic-vascular, cognitive-clinical, pharmacological, family-caregiving, cultural-linguistic and systemic-service determinants of brain health. It positions nurses to recognise cognitive vulnerability earlier, conduct culturally informed medication review, support caregivers, address language and stigma barriers and navigate service access. Hepatic calibration is presented strictly as a hypothesis-generating research construct for future biomarker validation in multimorbid older adults, not as a clinical interpretation rule.
The framework offers a nursing-oriented model for culturally valid dementia assessment, medication safety, caregiver support and equitable service navigation.
The framework may support nurses in embedding brain-health case-finding within primary care, chronic disease and community settings.
The paper addresses delayed dementia recognition among minority older adults and proposes a practical nursing framework advancing diagnostic justice.
No specific reporting guideline directly applies to this discursive theoretical paper; it was prepared according to principles of transparent narrative synthesis.
This study did not include patient or public involvement in its design, conduct or reporting.

PMID:
42581716
Bibliographic data and abstract were imported from PubMed on 12 Aug 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.