Subtopic Deep Dive
Personalisation in Disability Support
Research Guide
What is Personalisation in Disability Support?
Personalisation in Disability Support refers to tailoring social care services to individual needs and preferences of disabled people through choice, control, and coproduction under social model frameworks.
This subtopic examines rights-based approaches and user involvement in disability services. Key studies highlight challenges in frontline implementation (Foster et al., 2006, 129 citations) and organisational benefits of peer roles (Gillard et al., 2013, 167 citations). Over 10 provided papers span 2006-2021, focusing on UK policy contexts.
Why It Matters
Personalisation advances UNCRPD-aligned policies by empowering disabled individuals via direct payments and recovery models (Davey, 2021, 120 citations; Roberts and Boardman, 2013, 92 citations). It improves outcomes in mental health and ageing support, as seen in peer worker integration (Gillard et al., 2013) and active ageing perceptions (Buys et al., 2008, 104 citations). Real-world impacts include enhanced welfare governance (Newman et al., 2008, 122 citations) and telehealth frameworks (Greenhalgh et al., 2015, 180 citations).
Key Research Challenges
Frontline Implementation Barriers
Workers face contradictions in delivering personalised care due to resource limits and assessment rigidity (Foster et al., 2006). Interviews reveal tensions between choice rhetoric and practice realities. Organisational resistance complicates peer role integration (Gillard et al., 2013).
Measuring Personalisation Outcomes
Direct payments' effects vary by user attributes and service traits, lacking clear metrics (Davey, 2021). Recovery narratives pose political challenges in evaluation (Woods et al., 2019, 134 citations). Welfare conditionality impacts wellbeing assessment (Dwyer et al., 2019, 94 citations).
Policy-Practice Gaps
Modernisation reforms transform governance but undeliver personalised benefits at local levels (Newman et al., 2008). Day centres' roles shift under personalisation, with unclear user perceptions (Orellana et al., 2018, 106 citations). Active ageing concepts differ for intellectual disabilities (Buys et al., 2008).
Essential Papers
What is quality in assisted living technology? The ARCHIE framework for effective telehealth and telecare services
Trisha Greenhalgh, Rob Procter, Joseph Wherton et al. · 2015 · BMC Medicine · 180 citations
Introducing peer worker roles into UK mental health service teams: a qualitative analysis of the organisational benefits and challenges
Steve Gillard, Christine Edwards, S. L. Gibson et al. · 2013 · BMC Health Services Research · 167 citations
The Recovery Narrative: Politics and Possibilities of a Genre
Angela Woods, Akiko Hart, Helen Spandler · 2019 · Culture Medicine and Psychiatry · 134 citations
Abstract Recovery is now widely acknowledged as the dominant approach to the management of mental distress and illness in government, third-sector and some peer-support contexts across the United K...
Personalised social care for adults with disabilities: a problematic concept for frontline practice
Michele Foster, Jennifer Harris, Karen Jackson et al. · 2006 · Health & Social Care in the Community · 129 citations
This paper explores the complexities and contradictions of frontline practice that pose problems for personalised social care through enhanced choice. It draws on semi-structured interviews with co...
Beyond Modernisation? Social Care and the Transformation of Welfare Governance
Janet Newman, Caroline Glendinning, Michael Hughes · 2008 · Journal of Social Policy · 122 citations
Abstract This article reflects on the process and outcomes of modernisation in adult social care in England and Wales, drawing particularly on the recently completed Modernising Adult Social Care (...
Influences of service characteristics and older people’s attributes on outcomes from direct payments
Vanessa Davey · 2021 · BMC Geriatrics · 120 citations
Abstract Background Direct payments (DPs) are cash-payments that eligible individuals can receive to purchase care services by themselves. DPs are central to current social care policy in England, ...
Day centres for older people: a systematically conducted scoping review of literature about their benefits, purposes and how they are perceived
Katharine Orellana, Jill Manthorpe, Anthea Tinker · 2018 · Ageing and Society · 106 citations
Abstract With a policy shift towards personalisation of adult social care in England, much attention has focused on individualised support for older people with care needs. This article reports the...
Reading Guide
Foundational Papers
Start with Foster et al. (2006) for frontline practice issues and Gillard et al. (2013) for peer roles, as they establish core UK personalisation challenges with 129 and 167 citations. Follow with Newman et al. (2008) on welfare governance shifts.
Recent Advances
Study Davey (2021) on direct payments outcomes and Woods et al. (2019) on recovery narratives for latest empirical insights. Orellana et al. (2018) addresses day centre perceptions under personalisation.
Core Methods
Qualitative analysis of interviews (Foster et al., 2006; Buys et al., 2008). Scoping reviews (Orellana et al., 2018). Framework development like ARCHIE (Greenhalgh et al., 2015).
How PapersFlow Helps You Research Personalisation in Disability Support
Discover & Search
PapersFlow's Research Agent uses searchPapers on 'personalisation disability support UK' to retrieve Foster et al. (2006), then citationGraph reveals 129 citing works, and findSimilarPapers expands to peer roles like Gillard et al. (2013). exaSearch uncovers policy implementations beyond OpenAlex.
Analyze & Verify
Analysis Agent applies readPaperContent to parse Foster et al. (2006) abstracts for frontline contradictions, verifyResponse with CoVe checks claims against Greenhalgh et al. (2015), and runPythonAnalysis uses pandas to tabulate citation impacts across 10 papers. GRADE grading scores evidence quality for direct payments (Davey, 2021).
Synthesize & Write
Synthesis Agent detects gaps in recovery-outcome links from Woods et al. (2019) and Roberts (2013), flags contradictions in welfare conditionality (Dwyer et al., 2019). Writing Agent employs latexEditText for policy critique sections, latexSyncCitations integrates 20 refs, latexCompile generates PDF, and exportMermaid diagrams coproduction flows.
Use Cases
"Analyze citation trends in personalisation papers for disability support"
Research Agent → searchPapers → runPythonAnalysis (pandas citation plot) → matplotlib trend graph showing Greenhalgh et al. (2015) peak.
"Draft LaTeX review on UK direct payments challenges"
Synthesis Agent → gap detection (Davey 2021 vs Foster 2006) → Writing Agent → latexEditText → latexSyncCitations → latexCompile → policy gap report PDF.
"Find code for simulating direct payment outcomes"
Research Agent → paperExtractUrls (Davey 2021) → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python model for user attribute simulations.
Automated Workflows
Deep Research workflow conducts systematic review: searchPapers (50+ personalisation papers) → citationGraph → DeepScan (7-step verify on Foster/Gillard) → structured UNCRPD policy report. Theorizer generates theory on 'coproduction barriers' from Newman et al. (2008) and Orellana et al. (2018). DeepScan applies CoVe checkpoints to mental health recovery claims (Woods et al., 2019).
Frequently Asked Questions
What defines personalisation in disability support?
Tailoring services via choice, direct payments, and user coproduction under social models (Foster et al., 2006). Aligns with UNCRPD standards.
What methods study this subtopic?
Qualitative interviews with workers and users (Foster et al., 2006; Gillard et al., 2013). Scoping reviews for day centres (Orellana et al., 2018).
What are key papers?
Foster et al. (2006, 129 citations) on frontline issues; Greenhalgh et al. (2015, 180 citations) on telehealth; Davey (2021, 120 citations) on direct payments.
What open problems exist?
Quantifying outcomes amid conditionality (Dwyer et al., 2019); integrating peer roles organisationally (Gillard et al., 2013); adapting active ageing for disabilities (Buys et al., 2008).
Research Healthcare innovation and challenges with AI
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