MétaCan
Menu
Back to cohort
Record W2766197111 · doi:10.5334/ijic.3601

Carer Needs Assessment Development - A Republic of Ireland led International Joint Working Project to Support Delivery of Integrated Health and Social Care

2017· article· en· W2766197111 on OpenAlexaboutno aff
Liam O’Sullivan, Linda Mcdermott Scales, Clare Duffy, Natalie Vereker, Kris Dhondt

Bibliographic record

VenueInternational Journal of Integrated Care · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsIntegrated careHealth careNursingMedicinePublic relationsPsychologyEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Despite an increasing share of societal income being used to deliver health and social care services, families accross the globe continue to provide upwards of 80% of the overall care delivered (Huber & Hennessy, 2005; Dieleman et al, 2016). Such carers often experience inadequate recognition of their unique and crucial role in keeping their care recipients well and at home, and in the wider scheme of sustaining national and international healthcare infrastructure. While family carers availability and willingness to provide care is crucial; stress, isolation and ill health are frequently experienced;all of which may impact on their quality of life and ability to care, and further may impact on the availability of this under resourced pool of caregivers into the future.Identifying the needs of family carers is increasingly being viewed as a key intervention in the development of fully integrated health and social care (Guberman et al, 2007). The positive impact of such assessments to carers is wide and varied, particularly in reducing their burden of stress and depressive symptoms (Guberman et al, 2003; Becker et al, 2005; Kwak et al, 2011). Internationally, Carer Needs Assessments (CNA's) have been enshrined in law in the UK for over 20 years and are significantly embedded in assessment processes; while in the US in particular- there has been some legislative initiatives to bring Family Carers closer to the centre of care. This paper discuses the Carer Needs Assessment Development Project and presents preliminary findings on Irish data from the Carer Needs Assesment international pilot study.In giving expression to the Irish National Carers Strategy which seeks to work with Family Carers as partners in care (Department of Health (IRL), 2012), the HSE Single Asessment Tool (SAT) Project established a collaborative Working Group to develop a Carer Needs Assessment for national and international use. This group comprised of HSE SAT national team members, not-for profit national Carer/Advocacy Organisations (NGOs),and the international not-for-profit organisation ‘interRAI™’ who specialise in evidence-based assessment systems development.The Working Group are developing a CNA, initially paper based, which is currently being piloted with adult family carers in a longitudinal study across 11 countries, including Ireland, in order to finalise the tool. Once the pilot is complete, the CNA will be available as part of the interRAI integrated suite of assessment tools which are in use Ireland and internationally in an electronic format across health care settings.The target population for the pilot study are adult family carers who are providing an ongoing and significant level of care to an older person person who is in need due to illness, disability, or frailty. A family carer can be a relative, friend or neighbour. Approximately 600 Family Carers will be recruited internationally. The final potential target population in Ireland is all Family Carers who provide significant levels of care.This initiative is innovate as it represents a first between a state health agency, a number of not-for profit agencies and a leading academic health care assessment systems design collaboration (interRAI), in developing, testing and (potentially) implementing a comprehensive standardised assessment tool.Current models of CNA have not been exposed to sufficiently comprehensive evaluation.This paper charts the progression and challenges of this initiative, using an Implementation Science Framework. There will be a discussion on the learnings from the process together with a wider assessment of the future potential for Carer Needs Assessments in general.References:1- Arksey H, Hepworth D. Carers' Needs And The Carers Act: An evaluation of the process and outcomes of assessment. York: Social Policy Research Unit, University of York, 2000.2- Becker S, Becker F, Silburn R, Silburn P, Sempik J. Carers’ Assessments in Nottinghamshire: Content,Process and Outcomes. Nottingham: Nottinghamshire Social Services Department, 2005.3- Department of Health. The National Carers’ Strategy. Department of Health. Ireland. 20124- Dieleman JL, Templin T, Sadat N, Reidy P, Chapin A, Foreman K, Haakenstad A, Evans T, Murray CJ, Kurowski C. National spending on health by source for 184 countries between 2013 and 2040. The Lancet. 2016 Apr 13.5- Donnelly, N. A. International Carer Needs Assessment Tools–A literature Review.Unpublished. 21036- Guberman N, E N, Nolan M, Doris R, Lundh U, Keefe J. Impact on practitioners of using a research-based carer assessment tools: Experiences from the UK, Canada, Sweden, with insights from Australia. Health and Social Care in the Community. 2003;11(4):345-55.7- Guberman N, Keefe J, Fancey P, Barylak L. 'Not another form!': lessons for implementing carer assessment in health and social service agencies. Health & social care in the community. 2007 Nov;15(6):577-87.8- Huber M, Hennessy P. Long-term care for older people. OECD Publishing; 2005.9- Kwak J, Montgomery RJV, Kosloski K, Lang J. The Impact of TCARE® on Service Recommendation, Use, and Caregiver Well-being. The Gerontologist. 2011 October 1, 2011;51(5):704-13.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.109
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1090.050
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0020.002
Scholarly communication0.0070.002
Open science0.0040.015
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0100.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.350
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Integrated CareSame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207