Increasing access to Care Act 2014 assessments and personal budgets among people with experiences of homelessness and multiple exclusion: a theoretically informed case study. / Cornes, Michelle; Ornelas, Bruno; Bennett, Bridget; Meakin, Andy; Mason, Karl; Fuller, James; Manthorpe, Jill.

In: Housing, Care and Support, Vol. 21, No. 1, 2018, p. 1-12.

Research output: Contribution to journalArticle

Published
  • Michelle Cornes
  • Bruno Ornelas
  • Bridget Bennett
  • Andy Meakin
  • Karl Mason
  • James Fuller
  • Jill Manthorpe

Abstract

Purpose – The purpose of this paper is to present a case study describing the progress that is being made in one city in England to increase access to Care Act 2014 assessments and personal budgets among people with experiences of homelessness and multiple exclusion.
Design/methodology/approach – A case study employing a “study group” to describe and reflect on local development work.
Findings – The authors focus on the “systems change” activity that was undertaken by one voluntary sector partnership project to address issues of referral and access to adult social care. This included the development of a “Multiple Needs Toolkit” designed to support voluntary sector workers to communicate more effectively with adult social care around the application of the new Care Act 2014 eligibility thresholds. The authors discuss the role of “persistent advocacy” in increasing access to assessments and also the limitations of this as regard the potential for poorer joint working.
Originality/value – Throughout, the authors draw on the “ambiguity-conflict” model of policy implementation to assess if the learning from this single case study might be applied elsewhere. Keywords Personalization, Care Act 2014, Eligibility, Ambiguity-conflict model, Homelessness,
Hospital discharge
Paper type - Research paper
Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalHousing, Care and Support
Volume21
Issue number1
DOIs
Publication statusPublished - 2018
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 29984840