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Complex needs survey: informing the development of a community recovery and rehabilitation team

Published online by Cambridge University Press:  02 January 2018

Stavros Bekas*
Affiliation:
West London Mental Health NHS Trust, London
*
Stavros Bekas (stavros.bekas@nhs.net)
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Abstract

Aims and method

To inform the development of a new, recovery-oriented rehabilitation service, identify local needs and create a pathway for appropriate referrals, accelerating the build up of case-load. We surveyed 1353 secondary service users using a purpose-made needs assessment and case identification questionnaire, completed by nominated care coordinators.

Results

Significant unmet need for rehabilitation and recovery-oriented interventions was found. The results were used to invite referrals, create a case-load of 150 and allocate the appropriate resources for the new team.

Clinical implications

The results highlight the untapped recovery potential among users of mainstream secondary mental health services and support investment in rehabilitation at a time of resource restriction. This work also supports a similar, evidence-based approach to targeting appropriate referrals during the development and the early stages of rehabilitation services.

Information

Type
Original Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Royal College of Psychiatrists, 2013
Figure 0

Table 1 Morbidity and adherence (n = 934)

Figure 1

Table 2 Level of social and occupational functioninga (n = 934)Support provided for basic tasks (n = 934)Unmet needs (n = 934)Subgroup analyses (n = 934)

Figure 2

Table 3 Support provided for basic tasks (n = 934)

Figure 3

Table 4 Unmet needs (n = 934)Subgroup analyses (n = 934)

Figure 4

Table 5 Subgroup analyses (n = 934)

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