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Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design

BACKGROUND: Evidence from clinical practice and the extant literature suggests that post-operative pain assessment and treatment is often suboptimal. Poor pain management is likely to persist until pain management practices become consistent with guidelines developed from the best available scientif...

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Autores principales: Botti, Mari, Kent, Bridie, Bucknall, Tracey, Duke, Maxine, Johnstone, Megan-Jane, Considine, Julie, Redley, Bernice, Hunter, Susan, de Steiger, Richard, Holcombe, Marlene, Cohen, Emma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164760/
https://www.ncbi.nlm.nih.gov/pubmed/25164125
http://dx.doi.org/10.1186/s13012-014-0110-3
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author Botti, Mari
Kent, Bridie
Bucknall, Tracey
Duke, Maxine
Johnstone, Megan-Jane
Considine, Julie
Redley, Bernice
Hunter, Susan
de Steiger, Richard
Holcombe, Marlene
Cohen, Emma
author_facet Botti, Mari
Kent, Bridie
Bucknall, Tracey
Duke, Maxine
Johnstone, Megan-Jane
Considine, Julie
Redley, Bernice
Hunter, Susan
de Steiger, Richard
Holcombe, Marlene
Cohen, Emma
author_sort Botti, Mari
collection PubMed
description BACKGROUND: Evidence from clinical practice and the extant literature suggests that post-operative pain assessment and treatment is often suboptimal. Poor pain management is likely to persist until pain management practices become consistent with guidelines developed from the best available scientific evidence. This work will address the priority in healthcare of improving the quality of pain management by standardising evidence-based care processes through the incorporation of an algorithm derived from best evidence into clinical practice. In this paper, the methodology for the creation and implementation of such an algorithm that will focus, in the first instance, on patients who have undergone total hip or knee replacement is described. METHODS: In partnership with clinicians, and based on best available evidence, the aim of the Management Algorithm for Post-operative Pain (MAPP) project is to develop, implement, and evaluate an algorithm designed to support pain management decision-making for patients after orthopaedic surgery. The algorithm will provide guidance for the prescription and administration of multimodal analgesics in the post-operative period, and the treatment of breakthrough pain. The MAPP project is a multisite study with one coordinating hospital and two supporting (rollout) hospitals. The design of this project is a pre-implementation-post-implementation evaluation and will be conducted over three phases. The Promoting Action on Research Implementation in Health Services (PARiHS) framework will be used to guide implementation. Outcome measurements will be taken 10 weeks post-implementation of the MAPP. The primary outcomes are: proportion of patients prescribed multimodal analgesics in accordance with the MAPP; and proportion of patients with moderate to severe pain intensity at rest. These data will be compared to the pre-implementation analgesic prescribing practices and pain outcome measures. A secondary outcome, the efficacy of the MAPP, will be measured by comparing pain intensity scores of patients where the MAPP guidelines were or were not followed. DISCUSSION: The outcomes of this study have relevance for nursing and medical professionals as well as informing health service evaluation. In establishing a framework for the sustainable implementation and evaluation of a standardised approach to post-operative pain management, the findings have implications for clinicians and patients within multiple surgical contexts.
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spelling pubmed-41647602014-09-17 Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design Botti, Mari Kent, Bridie Bucknall, Tracey Duke, Maxine Johnstone, Megan-Jane Considine, Julie Redley, Bernice Hunter, Susan de Steiger, Richard Holcombe, Marlene Cohen, Emma Implement Sci Study Protocol BACKGROUND: Evidence from clinical practice and the extant literature suggests that post-operative pain assessment and treatment is often suboptimal. Poor pain management is likely to persist until pain management practices become consistent with guidelines developed from the best available scientific evidence. This work will address the priority in healthcare of improving the quality of pain management by standardising evidence-based care processes through the incorporation of an algorithm derived from best evidence into clinical practice. In this paper, the methodology for the creation and implementation of such an algorithm that will focus, in the first instance, on patients who have undergone total hip or knee replacement is described. METHODS: In partnership with clinicians, and based on best available evidence, the aim of the Management Algorithm for Post-operative Pain (MAPP) project is to develop, implement, and evaluate an algorithm designed to support pain management decision-making for patients after orthopaedic surgery. The algorithm will provide guidance for the prescription and administration of multimodal analgesics in the post-operative period, and the treatment of breakthrough pain. The MAPP project is a multisite study with one coordinating hospital and two supporting (rollout) hospitals. The design of this project is a pre-implementation-post-implementation evaluation and will be conducted over three phases. The Promoting Action on Research Implementation in Health Services (PARiHS) framework will be used to guide implementation. Outcome measurements will be taken 10 weeks post-implementation of the MAPP. The primary outcomes are: proportion of patients prescribed multimodal analgesics in accordance with the MAPP; and proportion of patients with moderate to severe pain intensity at rest. These data will be compared to the pre-implementation analgesic prescribing practices and pain outcome measures. A secondary outcome, the efficacy of the MAPP, will be measured by comparing pain intensity scores of patients where the MAPP guidelines were or were not followed. DISCUSSION: The outcomes of this study have relevance for nursing and medical professionals as well as informing health service evaluation. In establishing a framework for the sustainable implementation and evaluation of a standardised approach to post-operative pain management, the findings have implications for clinicians and patients within multiple surgical contexts. BioMed Central 2014-08-28 /pmc/articles/PMC4164760/ /pubmed/25164125 http://dx.doi.org/10.1186/s13012-014-0110-3 Text en © Botti 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 Study Protocol
Botti, Mari
Kent, Bridie
Bucknall, Tracey
Duke, Maxine
Johnstone, Megan-Jane
Considine, Julie
Redley, Bernice
Hunter, Susan
de Steiger, Richard
Holcombe, Marlene
Cohen, Emma
Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design
title Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design
title_full Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design
title_fullStr Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design
title_full_unstemmed Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design
title_short Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design
title_sort development of a management algorithm for post-operative pain (mapp) after total knee and total hip replacement: study rationale and design
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164760/
https://www.ncbi.nlm.nih.gov/pubmed/25164125
http://dx.doi.org/10.1186/s13012-014-0110-3
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