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Building workforce capacity for complex care coordination: a function analysis of workflow activity
BACKGROUND: The care coordination workforce includes a range of clinicians who manage care for patients with multiple chronic conditions both within and outside a hospital, in the community, or in a patient’s home. These patients require a multi-skilled approach to support complex care and social su...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171555/ https://www.ncbi.nlm.nih.gov/pubmed/25216695 http://dx.doi.org/10.1186/1478-4491-12-52 |
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author | Heslop, Liza Power, Rebecca Cranwell, Kathryn |
author_facet | Heslop, Liza Power, Rebecca Cranwell, Kathryn |
author_sort | Heslop, Liza |
collection | PubMed |
description | BACKGROUND: The care coordination workforce includes a range of clinicians who manage care for patients with multiple chronic conditions both within and outside a hospital, in the community, or in a patient’s home. These patients require a multi-skilled approach to support complex care and social support needs as they are typically high users of health, community, and social services. In Australia, workforce structures have not kept pace with this new and emerging workforce. The aim of the study was to develop, map, and analyse workforce functions of a care coordination team. METHODS: Workflow modelling informed the development of an activity log that was used to collect workflow data in 2013 from care coordinators located within the care coordination service offered by a Local Health Network in Australia. The activity log comprised a detailed classification of care coordination functions based on two major categories – direct and indirect care. Direct care functions were grouped into eight domains. A descriptive quantitative investigation design was used for data analysis. The data was analysed using univariate descriptive statistics with results presented in tables and a figure. RESULTS: Care coordinators spent more time (70.9%) on direct care than indirect care (29.1%). Domains of direct care that occupied the most time relative to the 38 direct care functions were ‘Assessment’ (14.1%), ‘Documentation’ (13.9%), ‘Travel time’ (6.3%), and ‘Accepting/discussing referral’ (5.7%). ‘Administration’ formed a large component of indirect care functions (14.8%), followed by ‘Travel’ (12.4%). Sub-analyses of direct care by domains revealed that a group of designated ‘core care coordination functions’ contributed to 40.6% of direct care functions. CONCLUSIONS: The modelling of care coordination functions and the descriptions of workflow activity support local development of care coordination capacity and workforce capability through extensive practice redesigns. |
format | Online Article Text |
id | pubmed-4171555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41715552014-09-24 Building workforce capacity for complex care coordination: a function analysis of workflow activity Heslop, Liza Power, Rebecca Cranwell, Kathryn Hum Resour Health Research BACKGROUND: The care coordination workforce includes a range of clinicians who manage care for patients with multiple chronic conditions both within and outside a hospital, in the community, or in a patient’s home. These patients require a multi-skilled approach to support complex care and social support needs as they are typically high users of health, community, and social services. In Australia, workforce structures have not kept pace with this new and emerging workforce. The aim of the study was to develop, map, and analyse workforce functions of a care coordination team. METHODS: Workflow modelling informed the development of an activity log that was used to collect workflow data in 2013 from care coordinators located within the care coordination service offered by a Local Health Network in Australia. The activity log comprised a detailed classification of care coordination functions based on two major categories – direct and indirect care. Direct care functions were grouped into eight domains. A descriptive quantitative investigation design was used for data analysis. The data was analysed using univariate descriptive statistics with results presented in tables and a figure. RESULTS: Care coordinators spent more time (70.9%) on direct care than indirect care (29.1%). Domains of direct care that occupied the most time relative to the 38 direct care functions were ‘Assessment’ (14.1%), ‘Documentation’ (13.9%), ‘Travel time’ (6.3%), and ‘Accepting/discussing referral’ (5.7%). ‘Administration’ formed a large component of indirect care functions (14.8%), followed by ‘Travel’ (12.4%). Sub-analyses of direct care by domains revealed that a group of designated ‘core care coordination functions’ contributed to 40.6% of direct care functions. CONCLUSIONS: The modelling of care coordination functions and the descriptions of workflow activity support local development of care coordination capacity and workforce capability through extensive practice redesigns. BioMed Central 2014-09-13 /pmc/articles/PMC4171555/ /pubmed/25216695 http://dx.doi.org/10.1186/1478-4491-12-52 Text en © Heslop et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Heslop, Liza Power, Rebecca Cranwell, Kathryn Building workforce capacity for complex care coordination: a function analysis of workflow activity |
title | Building workforce capacity for complex care coordination: a function analysis of workflow activity |
title_full | Building workforce capacity for complex care coordination: a function analysis of workflow activity |
title_fullStr | Building workforce capacity for complex care coordination: a function analysis of workflow activity |
title_full_unstemmed | Building workforce capacity for complex care coordination: a function analysis of workflow activity |
title_short | Building workforce capacity for complex care coordination: a function analysis of workflow activity |
title_sort | building workforce capacity for complex care coordination: a function analysis of workflow activity |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171555/ https://www.ncbi.nlm.nih.gov/pubmed/25216695 http://dx.doi.org/10.1186/1478-4491-12-52 |
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