Novel Research and Care Strategies for Older Adults with Stroke and/or Dementia

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Chronic Care".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 1691

Special Issue Editors


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Guest Editor
School of Nursing and Midwifery, University College Cork, T12AK54 Cork, Ireland
Interests: stroke; dementia; person-centred care; health innovation; caregiver support; ageing population; palliative care

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Co-Guest Editor
School of Nursing and Midwifery, Queen's University, Belfast BT9 7BL, UK
Interests: care of older people; care homes; chronic illness; healthcare education
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Special Issue Information

Dear Colleagues,

As populations across the globe continue to age, the prevalence of age-related conditions such as stroke and dementia is rising sharply, posing significant challenges to healthcare systems, caregivers, and communities. These complex conditions often co-occur, compounding the burden on individuals and requiring integrated, person-centred approaches to care. This Special Issue, “Novel Research and Care Strategies for Older Adults with Stroke and/or Dementia”, seeks to explore novel research, interventions, and models of care that address the multifaceted needs of older adults living with stroke, dementia, or both.

We invite contributions that examine novel clinical practices, interdisciplinary care models, technological innovations, and policy frameworks that enhance the quality of life, autonomy, and dignity of older people. Submissions may include original research, systematic reviews, implementation studies, and case reports that highlight best practices in prevention, diagnosis, rehabilitation, long-term care, and caregiver support.

Particular emphasis will be placed on innovations that promote equity, cultural sensitivity, and sustainability in geriatric care. We also welcome studies that explore the intersection of stroke and dementia, including shared risk factors, diagnostic challenges, and integrated care pathways.

This Special Issue aims to foster a global dialogue among researchers, clinicians, policymakers, and stakeholders to advance evidence-based, compassionate, and future-ready approaches to geriatric care. By sharing diverse perspectives and experiences, we hope to contribute to a more inclusive and responsive health and social care landscape for older adults.

Dr. Irene Hartigan
Guest Editor

Dr. Gary Mitchell
Co-Guest Editor

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Keywords

  • stroke
  • dementia
  • integrated care
  • person-centred care
  • health innovation
  • caregiver support
  • ageing population

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Published Papers (2 papers)

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Research

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16 pages, 226 KB  
Article
“The Window of Opportunity”: A Qualitative Exploration of Individual Reminiscence in Care Home Settings
by Aoife Conway, Rosemary Bradley, Assumpta Ryan, Claire McCauley, Brighide Lynch, Deirdre Harkin and Sarah Penney
Healthcare 2026, 14(2), 276; https://doi.org/10.3390/healthcare14020276 - 21 Jan 2026
Viewed by 546
Abstract
Background: Care homes are complex care environments where supporting residents’ identity, wellbeing, and sense of personhood is central to person-centred care. Reminiscence is widely recognised as a psychosocial approach that can support these outcomes. However, existing evidence has largely focused on group-based interventions, [...] Read more.
Background: Care homes are complex care environments where supporting residents’ identity, wellbeing, and sense of personhood is central to person-centred care. Reminiscence is widely recognised as a psychosocial approach that can support these outcomes. However, existing evidence has largely focused on group-based interventions, with comparatively limited attention given to how individual reminiscence is implemented and sustained within care home practice. Methods: This study was an implementation-focused qualitative exploration of staff experiences of introducing and embedding individualised reminiscence in care home practice. Care home staff participated in four monthly workshops that introduced principles of individualised reminiscence and supported them to plan and implement reminiscence with at least one resident. Participants used either the InspireD digital reminiscence app (n = 19) or non-digital approaches such as life story books (n = 2), depending on local preferences and perceived suitability. Three focus groups were conducted with 21 care home staff to explore experiences of implementing individualised reminiscence and perceptions of its impact on residents, staff, and families. Data were analysed using reflexive thematic analysis. Results: Four interrelated themes were identified: (1) reminiscence within pressured systems; (2) resident experience and identity; (3) adapting and sustaining practice; and (4) families as partners in reminiscence. Participants described challenges associated with workload pressures, role expectations, and variability in family involvement, which influenced how reminiscence was adopted in practice. Despite these constraints, participants described perceived benefits for residents, including perceived improvements in mood, engagement, and expressions of identity. Participants also discussed perceived increased staff confidence, strengthened staff–resident relationships, and enhanced awareness of person-centred care practices. Conclusions: Findings highlight the perceived potential of individualised reminiscence to support person-centred and relational care in care homes, while identifying key contextual influences on implementation. Further research is needed to examine sustainability and effectiveness using comparative and mixed-method designs. Full article

Review

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15 pages, 416 KB  
Review
Artificial Intelligence for the Early Detection of Patients with Cognitive Impairment: A Scoping Review
by María Moreno-Pineda, Víctor Ortiz-Mallasén and Águeda Cervera-Gasch
Healthcare 2026, 14(6), 768; https://doi.org/10.3390/healthcare14060768 - 18 Mar 2026
Viewed by 786
Abstract
Background/Objectives: Cognitive impairment affects multiple brain functions, and its early detection is essential to prevent progression to dementia; artificial intelligence has shown considerable potential in this field. This scoping review aims to map the impact of artificial intelligence–based tools for the early detection [...] Read more.
Background/Objectives: Cognitive impairment affects multiple brain functions, and its early detection is essential to prevent progression to dementia; artificial intelligence has shown considerable potential in this field. This scoping review aims to map the impact of artificial intelligence–based tools for the early detection of cognitive impairment by identifying the main technologies used, examining their effectiveness, and exploring their ethical implications. Methods: A scoping review was conducted between April and May 2025 following the PRISMA-ScR methodological framework; the review protocol was previously registered on the Open Science Framework. PubMed, Scopus, and Cochrane databases were searched using natural language and controlled vocabulary terms via Medical Subject Headings. The search was limited to articles published between 2020 and 2025, in English or Spanish, with free full-text access. Methodological quality was assessed using CASPe, JBI, and MMAT. Results: A total of 14 studies were included after the selection and critical appraisal process. The findings show that artificial intelligence–based tools such as deep-learning models applied to neuroimaging, speech and gait analysis, electronic health record analysis, and mobile health applications demonstrate promising accuracy in detecting early cognitive changes. These technologies enable the identification of subtle patterns that may be difficult to detect using conventional clinical assessments. Conclusions: AI-based tools can provide substantial support for clinical decision-making by effectively identifying subtle changes that are imperceptible to human intelligence. However, their use also raises ethical issues related to patient privacy and data security. Full article
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