Primary keyword: AI-enabled qualitative research in dementia care. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to PLOS ONE (published July 27, 2026), a new study protocol by Mwale et al. sets out a three-year, mixed-methods, intersectional project to examine how Adult Social Care teams recognise and respond to the support needs of African and African-Caribbean people living with dementia in the UK. According to PLOS ONE (published July 27, 2026), the study combines a Joanna Briggs meta-aggregation evidence synthesis, longitudinal narrative interviews (n = 40 participants, n = 120 interview sessions), and ethnographic fieldwork across four Local Authority sites (n = 120 observation days), providing a rare, richly textured qualitative dataset.
Key Takeaways
The PLOS ONE study protocol PLOS ONE (published July 27, 2026) describes a mixed-methods programme that will generate longitudinal interviews, ethnographic notes, and a co-produced qualitative synthesis to identify inclusive strategies for social care support.
- According to PLOS ONE (published July 27, 2026), the study will interview 40 African and African-Caribbean people living with dementia (n = 10 per site) in three sequential interviews each, producing 120 in-depth interview recordings.
- According to PLOS ONE (published July 27, 2026), ethnographic fieldwork will run in four Local Authority sites for 30 days per site, totalling 120 observation days across 12 Adult Social Care teams.
- According to PLOS ONE (published July 27, 2026), the research will produce co‑produced, actionable recommendations to "identify inclusive strategies to facilitate social care support", with materials published in multiple languages.
- According to PLOS ONE (published July 27, 2026), the protocol notes that only nine UK studies in the prior 20 years focused on African and African-Caribbean people living with dementia, and AAC dementia prevalence in minoritised groups is projected to increase seven-fold by 2051.
What happened and how the study will work
The PLOS ONE study protocol (published July 27, 2026) answers who, what, when and how: it is a three-year (2025–2027) NIHR-funded project combining an evidence synthesis, longitudinal narrative interviews, ethnography, and creative workshops to examine support-seeking and service responses for African and African-Caribbean people living with dementia.
According to PLOS ONE (published July 27, 2026), the evidence synthesis uses the Joanna Briggs meta-aggregation approach to generate recommendations for practice, the narrative interviews comprise 40 participants with three interviews each (120 sessions) conducted over a four-month window per site, and ethnography includes 30 observation days per Local Authority (n = 4 sites).
According to PLOS ONE (published July 27, 2026), recruitment will use purposive and snowball sampling, include participants aged 50 and older to capture young-onset cases, and apply an intersectionality framework to surface how race, gender, class, migration history and other axes shape access to services.
Findings snapshot
| Date / Milestone | Metric | Value | Implication |
|---|---|---|---|
| July 27, 2026 | Protocol publication | PLOS ONE | Public release of study methods and planned outputs |
| 2025–2027 study period | Narrative interviews | 40 participants, 3 interviews each (120 sessions) | Longitudinal, within-case thematic mapping |
| 2025–2027 study period | Ethnographic observation | 4 Local Authorities, 30 days per site (120 days total), 12 teams | Detailed organisational decision-making records |
| 20-year literature window | Prior UK studies identified | 9 studies | Evidence gap for AAC-specific dementia research |
| Projection cited in protocol | Minoritised dementia population growth | Projected seven-fold increase by 2051 | Urgency for culturally responsive service planning |
Implications for social care researchers and teams
Researchers and social care teams should plan for multi-modal, long-form qualitative data because PLOS ONE (published July 27, 2026) specifies 120 interview sessions and 120 observation days that generate transcripts, field notes, and documentary artifacts.
According to PLOS ONE (published July 27, 2026), using an intersectional analytic frame is essential because the protocol explicitly links race, migration history, class, gender and disability to differential recognition, late presentation and crisis outcomes for African and African-Caribbean people living with dementia.
According to PLOS ONE (published July 27, 2026), practice-focused outputs must be co-produced and multilingual; the protocol promises training materials, factsheets and media in languages including French, Arabic, Hausa, Igbo, Swahili and Somali to reach diverse communities.
How Evidano helps: map problems to AI-enabled solutions
Problem: Large volumes of longitudinal qualitative data
Answer: Evidano automates transcript ingestion, secure storage, and indexing so teams can manage longitudinal interviews and multi-site ethnographic notes at scale.
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents, and Evidano supports professional transcription workflows with custom dictionaries and PII redaction (Speech-to-text).
Problem: Need for intersectional, co-produced coding and synthesis
Answer: Evidano provides thematic, content frequency, and cross-segment analyses that let teams apply intersectional tags and compare themes by demographics or site.
Evidano’s thematic and cross-segment visualizations help translate multi-method findings into actionable recommendations, matching the PLOS ONE protocol’s goal to "identify inclusive strategies to facilitate social care support" (Mwale et al., 2026).
Problem: Sharing accessible, multilingual outputs with communities
Answer: Evidano supports exportable reports and integrates translation features so researchers can produce the culturally appropriate materials the PLOS ONE protocol promises.
Evidano’s translation capabilities (Translation) can accelerate producing factsheets and training content in the languages named in the protocol, reducing turnaround time from analysis to community-facing materials.
Want to evaluate product fit?
Answer: See Evidano’s feature set for qualitative workflows on the features page.
For a focused overview of how platform capabilities map to study needs, visit Evidano Features.
FAQ: AI-enabled qualitative research in dementia care
How many interviews and observation days will the PLOS ONE study collect?
Answer: The PLOS ONE protocol specifies 40 participants with three sequential interviews each (120 interview sessions) and 120 ethnographic observation days across four Local Authority sites.
According to PLOS ONE (published July 27, 2026), the interview plan is n = 10 participants per site with three interviews per person, and ethnography is 30 days per site to capture local organisational practices.
Can AI tools safely process sensitive dementia transcripts?
Answer: Yes, when the platform offers professional transcription with PII redaction and secure storage, as Evidano does.
Evidano provides transcription with custom dictionaries and PII redaction and encrypts data while ensuring data is not used to train third-party models, which supports the ethical handling the PLOS ONE protocol requires for anonymisation.
Will the PLOS ONE study’s outputs be accessible to non-academic audiences?
Answer: Yes, the PLOS ONE protocol commits to producing freely accessible, multilingual materials for practitioners, PLWD and carers.
According to PLOS ONE (published July 27, 2026), dissemination will include podcasts, short films, training materials and downloadable documents in multiple languages to reach diverse communities.
How can I run intersectional thematic analysis efficiently?
Answer: Use a platform that supports layered tagging, cross-segment queries, and visualization of co-occurrence to test intersecting identities against themes.
Evidano’s analytic features support hierarchical codes and subcodes, co-occurrence networks and cross-segment frequency analysis to operationalise the intersectional approach described in the PLOS ONE protocol.
Conclusion & Next Steps
The PLOS ONE study protocol (Mwale et al., published July 27, 2026) sets out a comprehensive, intersectional, multi-method approach that will generate 120 interview sessions and 120 ethnographic observation days to inform inclusive social care strategies.
Researchers and Adult Social Care teams that plan to evaluate or replicate this approach should prepare for large volumes of longitudinal qualitative data and for co-production with community advisory groups, as described in PLOS ONE (July 27, 2026).
Evidano can accelerate the end-to-end workflow from transcription to thematic and cross-segment analysis and help turn the protocol’s findings into accessible, multilingual outputs; to explore how Evidano maps to these needs, visit Evidano Features or test the platform directly.
Start now: Try Evidano for free.
Selected direct quotations from the protocol and cited literature
Quote: "Identifying inclusive strategies to facilitate social care support"; Mwale et al., PLOS ONE (2026).
Quote: "We don’t do dementia"; Berwald et al., as cited in Mwale et al., PLOS ONE (2016 reference).