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Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy

BACKGROUND: In order for clinical practice guidelines (CPGs) to meet their broad objective of enhancing the quality of care and supporting improved patient outcomes, they must address the needs of diverse patient populations. We set out to explore the patient attributes that are likely to demand a u...

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Autores principales: Leach, Matthew J, Segal, Leonie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182893/
https://www.ncbi.nlm.nih.gov/pubmed/21923953
http://dx.doi.org/10.1186/1472-6963-11-221
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author Leach, Matthew J
Segal, Leonie
author_facet Leach, Matthew J
Segal, Leonie
author_sort Leach, Matthew J
collection PubMed
description BACKGROUND: In order for clinical practice guidelines (CPGs) to meet their broad objective of enhancing the quality of care and supporting improved patient outcomes, they must address the needs of diverse patient populations. We set out to explore the patient attributes that are likely to demand a unique approach to the management of chronic disease, and which are crucial if evidence or services planning is to reflect clinic populations. These were incorporated into a new conceptual framework; using diabetes mellitus as an exemplar. METHODS: The patient attributes that informed the framework were identified from CPGs, the diabetes literature, an expert academic panel, and two cross-disciplinary panels; and agreed upon using a modified nominal group technique. RESULTS: Full consensus was reached on twenty-four attributes. These factors fell into one of three themes: (1) type/stage of disease, (2) morbid events, and (3) factors impacting on capacity to self-care. These three themes were incorporated in a convenient way in the workforce evidence-based (WEB) model. CONCLUSIONS: While biomedical factors are frequently recognised in published clinical practice guidelines, little attention is given to attributes influencing a person's capacity to self-care. Paying explicit attention to predictable threats to effective self-care in clinical practice guidelines, by drawing on the WEB model, may assist in refinements that would address observed disparities in health outcomes across socio-economic groups. The WEB model also provides a framework to inform clinical training, and health services and workforce planning and research; including the assessment of healthcare needs, and the allocation of healthcare resources.
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spelling pubmed-31828932011-09-30 Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy Leach, Matthew J Segal, Leonie BMC Health Serv Res Correspondence BACKGROUND: In order for clinical practice guidelines (CPGs) to meet their broad objective of enhancing the quality of care and supporting improved patient outcomes, they must address the needs of diverse patient populations. We set out to explore the patient attributes that are likely to demand a unique approach to the management of chronic disease, and which are crucial if evidence or services planning is to reflect clinic populations. These were incorporated into a new conceptual framework; using diabetes mellitus as an exemplar. METHODS: The patient attributes that informed the framework were identified from CPGs, the diabetes literature, an expert academic panel, and two cross-disciplinary panels; and agreed upon using a modified nominal group technique. RESULTS: Full consensus was reached on twenty-four attributes. These factors fell into one of three themes: (1) type/stage of disease, (2) morbid events, and (3) factors impacting on capacity to self-care. These three themes were incorporated in a convenient way in the workforce evidence-based (WEB) model. CONCLUSIONS: While biomedical factors are frequently recognised in published clinical practice guidelines, little attention is given to attributes influencing a person's capacity to self-care. Paying explicit attention to predictable threats to effective self-care in clinical practice guidelines, by drawing on the WEB model, may assist in refinements that would address observed disparities in health outcomes across socio-economic groups. The WEB model also provides a framework to inform clinical training, and health services and workforce planning and research; including the assessment of healthcare needs, and the allocation of healthcare resources. BioMed Central 2011-09-19 /pmc/articles/PMC3182893/ /pubmed/21923953 http://dx.doi.org/10.1186/1472-6963-11-221 Text en Copyright ©2011 Leach and Segal; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Correspondence
Leach, Matthew J
Segal, Leonie
Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy
title Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy
title_full Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy
title_fullStr Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy
title_full_unstemmed Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy
title_short Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy
title_sort patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182893/
https://www.ncbi.nlm.nih.gov/pubmed/21923953
http://dx.doi.org/10.1186/1472-6963-11-221
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