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Defining the content of a minimal dataset for acquired brain injury using a Delphi procedure
BACKGROUND: The lack of consistency in outcome measurement within the field of acquired brain injury (ABI) leads to incomparability of collected data and, consequently, reduced generalisation of findings. We aim to develop a set of standardised measures which can be used to obtain the minimum amount...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027079/ https://www.ncbi.nlm.nih.gov/pubmed/32066447 http://dx.doi.org/10.1186/s12955-020-01286-3 |
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author | Domensino, Anne-Fleur Winkens, Ieke van Haastregt, Jolanda C. M. van Bennekom, Coen A. M. van Heugten, Caroline M. |
author_facet | Domensino, Anne-Fleur Winkens, Ieke van Haastregt, Jolanda C. M. van Bennekom, Coen A. M. van Heugten, Caroline M. |
author_sort | Domensino, Anne-Fleur |
collection | PubMed |
description | BACKGROUND: The lack of consistency in outcome measurement within the field of acquired brain injury (ABI) leads to incomparability of collected data and, consequently, reduced generalisation of findings. We aim to develop a set of standardised measures which can be used to obtain the minimum amount of data necessary to characterise ABI-patients across all healthcare sectors and disciplines and in every stage of recovery; i.e., an ABI-specific minimal dataset (MDS-ABI). The current study was conducted to identify the core outcome domains for adults with ABI (what to measure?) and to select the most suitable measurements within these domains (how to measure it?). METHODS: An initial comprehensive set of outcome domains and measurement instruments relevant for measuring the consequences of ABI was identified by a literature study. The selection of relevant domains was based on the International Classification of Functioning, Disability and Health framework. Measurement instruments were included in the Delphi procedure when they met pre-set requirements. A three-round Delphi study was conducted among Dutch experts (n = 48) using iterative web-based surveys to prioritise the proposed domains and instruments for the MDS-ABI. Throughout all rounds, participants could recommend additional or alternative domains and measurement instruments, and were fed back the collated group responses of the previous round. RESULTS: Response rates ranged from 89 to 100%. After three rounds, the expert panel reached consensus (≥51%) on the inclusion of 12 outcome domains (demographics, injury characteristics, comorbidity, cognitive functioning, emotional functioning, energy, mobility, self-care, communication, participation, social support and quality of life), measured with six measurement instruments, two screening questions and a registry of demographic- and injury information. No consensus was reached on how to measure quality of life. CONCLUSIONS: The current study achieved consensus on the content of a minimal dataset for patients with ABI. The current version of the MDS-ABI will be evaluated and optimised if necessary in the near future. |
format | Online Article Text |
id | pubmed-7027079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70270792020-02-24 Defining the content of a minimal dataset for acquired brain injury using a Delphi procedure Domensino, Anne-Fleur Winkens, Ieke van Haastregt, Jolanda C. M. van Bennekom, Coen A. M. van Heugten, Caroline M. Health Qual Life Outcomes Research BACKGROUND: The lack of consistency in outcome measurement within the field of acquired brain injury (ABI) leads to incomparability of collected data and, consequently, reduced generalisation of findings. We aim to develop a set of standardised measures which can be used to obtain the minimum amount of data necessary to characterise ABI-patients across all healthcare sectors and disciplines and in every stage of recovery; i.e., an ABI-specific minimal dataset (MDS-ABI). The current study was conducted to identify the core outcome domains for adults with ABI (what to measure?) and to select the most suitable measurements within these domains (how to measure it?). METHODS: An initial comprehensive set of outcome domains and measurement instruments relevant for measuring the consequences of ABI was identified by a literature study. The selection of relevant domains was based on the International Classification of Functioning, Disability and Health framework. Measurement instruments were included in the Delphi procedure when they met pre-set requirements. A three-round Delphi study was conducted among Dutch experts (n = 48) using iterative web-based surveys to prioritise the proposed domains and instruments for the MDS-ABI. Throughout all rounds, participants could recommend additional or alternative domains and measurement instruments, and were fed back the collated group responses of the previous round. RESULTS: Response rates ranged from 89 to 100%. After three rounds, the expert panel reached consensus (≥51%) on the inclusion of 12 outcome domains (demographics, injury characteristics, comorbidity, cognitive functioning, emotional functioning, energy, mobility, self-care, communication, participation, social support and quality of life), measured with six measurement instruments, two screening questions and a registry of demographic- and injury information. No consensus was reached on how to measure quality of life. CONCLUSIONS: The current study achieved consensus on the content of a minimal dataset for patients with ABI. The current version of the MDS-ABI will be evaluated and optimised if necessary in the near future. BioMed Central 2020-02-17 /pmc/articles/PMC7027079/ /pubmed/32066447 http://dx.doi.org/10.1186/s12955-020-01286-3 Text en © The Author(s) 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Domensino, Anne-Fleur Winkens, Ieke van Haastregt, Jolanda C. M. van Bennekom, Coen A. M. van Heugten, Caroline M. Defining the content of a minimal dataset for acquired brain injury using a Delphi procedure |
title | Defining the content of a minimal dataset for acquired brain injury using a Delphi procedure |
title_full | Defining the content of a minimal dataset for acquired brain injury using a Delphi procedure |
title_fullStr | Defining the content of a minimal dataset for acquired brain injury using a Delphi procedure |
title_full_unstemmed | Defining the content of a minimal dataset for acquired brain injury using a Delphi procedure |
title_short | Defining the content of a minimal dataset for acquired brain injury using a Delphi procedure |
title_sort | defining the content of a minimal dataset for acquired brain injury using a delphi procedure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027079/ https://www.ncbi.nlm.nih.gov/pubmed/32066447 http://dx.doi.org/10.1186/s12955-020-01286-3 |
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