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Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol

INTRODUCTION: The social determinants of health have been gaining recognition, confirming that multidimensional biopsychosocial assessment is essential to improving the health of individuals. This trend has led to the development of conceptual models and measurement tools assessing ‘patient complexi...

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Autores principales: Mutai, Rieko, Sugiyama, Yoshifumi, Aoki, Takuya, Matsushima, Masato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173976/
https://www.ncbi.nlm.nih.gov/pubmed/37164460
http://dx.doi.org/10.1136/bmjopen-2022-063982
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author Mutai, Rieko
Sugiyama, Yoshifumi
Aoki, Takuya
Matsushima, Masato
author_facet Mutai, Rieko
Sugiyama, Yoshifumi
Aoki, Takuya
Matsushima, Masato
author_sort Mutai, Rieko
collection PubMed
description INTRODUCTION: The social determinants of health have been gaining recognition, confirming that multidimensional biopsychosocial assessment is essential to improving the health of individuals. This trend has led to the development of conceptual models and measurement tools assessing ‘patient complexity’, understood as a complex interplay of biopsychosocial factors, to improve the efficiency and effectiveness of care; however, the variety of meanings encompassed by the term has led to confusion in the interpretation of patient complexity such that there is no consensus regarding the definition or conceptualisation of patient complexity. The primary objective of this scoping review is to identify and map what is known about the key characteristics of patient complexity through multiple database searches. METHODS AND ANALYSIS: This study will follow an established framework for conducting scoping reviews. The data will be extracted through searches of MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, The Cochrane Library and Google Scholar. Included articles will have: investigated participants aged 19 years or older, with any health condition; described patient complexity, a model for patient complexity, or a measurement tool for patient complexity; and been published in English from 1 January 1970 to April 2022. Article selection and data extraction will be conducted independently by two reviewers and if necessary for consensus, a third reviewer. A descriptive summary will be prepared to explain how the results apply to the scoping review questions. The findings will be a detailed mapping of the health dimensions that emerge from the classification of the extracted data. Subsequently, a definition of patient complexity will be developed. ETHICS AND DISSEMINATION: This review does not require ethical approval, as we will use publicly available data. The study findings will be disseminated through a relevant conference presentation and a peer-reviewed journal. This protocol is registered on the Open Science Framework (www.osf.io/hpa3c).
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spelling pubmed-101739762023-05-12 Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol Mutai, Rieko Sugiyama, Yoshifumi Aoki, Takuya Matsushima, Masato BMJ Open General practice / Family practice INTRODUCTION: The social determinants of health have been gaining recognition, confirming that multidimensional biopsychosocial assessment is essential to improving the health of individuals. This trend has led to the development of conceptual models and measurement tools assessing ‘patient complexity’, understood as a complex interplay of biopsychosocial factors, to improve the efficiency and effectiveness of care; however, the variety of meanings encompassed by the term has led to confusion in the interpretation of patient complexity such that there is no consensus regarding the definition or conceptualisation of patient complexity. The primary objective of this scoping review is to identify and map what is known about the key characteristics of patient complexity through multiple database searches. METHODS AND ANALYSIS: This study will follow an established framework for conducting scoping reviews. The data will be extracted through searches of MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, The Cochrane Library and Google Scholar. Included articles will have: investigated participants aged 19 years or older, with any health condition; described patient complexity, a model for patient complexity, or a measurement tool for patient complexity; and been published in English from 1 January 1970 to April 2022. Article selection and data extraction will be conducted independently by two reviewers and if necessary for consensus, a third reviewer. A descriptive summary will be prepared to explain how the results apply to the scoping review questions. The findings will be a detailed mapping of the health dimensions that emerge from the classification of the extracted data. Subsequently, a definition of patient complexity will be developed. ETHICS AND DISSEMINATION: This review does not require ethical approval, as we will use publicly available data. The study findings will be disseminated through a relevant conference presentation and a peer-reviewed journal. This protocol is registered on the Open Science Framework (www.osf.io/hpa3c). BMJ Publishing Group 2023-05-09 /pmc/articles/PMC10173976/ /pubmed/37164460 http://dx.doi.org/10.1136/bmjopen-2022-063982 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle General practice / Family practice
Mutai, Rieko
Sugiyama, Yoshifumi
Aoki, Takuya
Matsushima, Masato
Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol
title Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol
title_full Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol
title_fullStr Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol
title_full_unstemmed Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol
title_short Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol
title_sort key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol
topic General practice / Family practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173976/
https://www.ncbi.nlm.nih.gov/pubmed/37164460
http://dx.doi.org/10.1136/bmjopen-2022-063982
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