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When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review

BACKGROUND: Modeling studies to inform the design of complex health services interventions often involves elements that differ from the intervention’s ultimate real-world use. These “hypothetical” elements include pilot participants, materials, and settings. Understanding the conditions under which...

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Autores principales: Hayes, Tavis, Hudek, Natasha, Graham, Ian D., Coyle, Doug, Brehaut, Jamie C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137431/
https://www.ncbi.nlm.nih.gov/pubmed/32252648
http://dx.doi.org/10.1186/s12874-020-00955-7
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author Hayes, Tavis
Hudek, Natasha
Graham, Ian D.
Coyle, Doug
Brehaut, Jamie C.
author_facet Hayes, Tavis
Hudek, Natasha
Graham, Ian D.
Coyle, Doug
Brehaut, Jamie C.
author_sort Hayes, Tavis
collection PubMed
description BACKGROUND: Modeling studies to inform the design of complex health services interventions often involves elements that differ from the intervention’s ultimate real-world use. These “hypothetical” elements include pilot participants, materials, and settings. Understanding the conditions under which studies with “hypothetical” elements can yield valid results would greatly help advance health services research. Our objectives are: 1) to conduct a systematic review of the literature to identify factors affecting the relationship between hypothetical decisions and real-world behaviours, and 2) to summarise and organize these factors into a preliminary framework. METHODS: We conducted an electronic database search using PsycINFO and Medline on November 30th, 2015, updated March 7th, 2019. We also conducted a supplemental snowball search on December 9th 2015 and a reverse citation search using Scopus and Web of Science. Studies were eligible to be included in this review if they clearly addressed the consistency between some type of hypothetical decision and a corresponding real decision or behaviour. Two reviewers extracted data using a standardized data collection form developed through an iterative consensus-based process. We extracted basic study information and data about each study’s research area, design, and research question. Quotations from the articles were extracted and summarized into standardized factor statements. RESULTS: Of the 2444 articles that were screened, 68 articles were included in the review. The articles identified 27 factors that we grouped into 4 categories: decision maker factors, cognitive factors, task factors, and matching factors. CONCLUSIONS: We have summarized a large number of factors that may be relevant when considering whether hypothetical health services pilot work can be expected to yield results that are consistent with real-world behaviours. Our descriptive framework can serve as the basis for organizing future work exploring which factors are most relevant when seeking to develop complex health services interventions.
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spelling pubmed-71374312020-04-11 When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review Hayes, Tavis Hudek, Natasha Graham, Ian D. Coyle, Doug Brehaut, Jamie C. BMC Med Res Methodol Research Article BACKGROUND: Modeling studies to inform the design of complex health services interventions often involves elements that differ from the intervention’s ultimate real-world use. These “hypothetical” elements include pilot participants, materials, and settings. Understanding the conditions under which studies with “hypothetical” elements can yield valid results would greatly help advance health services research. Our objectives are: 1) to conduct a systematic review of the literature to identify factors affecting the relationship between hypothetical decisions and real-world behaviours, and 2) to summarise and organize these factors into a preliminary framework. METHODS: We conducted an electronic database search using PsycINFO and Medline on November 30th, 2015, updated March 7th, 2019. We also conducted a supplemental snowball search on December 9th 2015 and a reverse citation search using Scopus and Web of Science. Studies were eligible to be included in this review if they clearly addressed the consistency between some type of hypothetical decision and a corresponding real decision or behaviour. Two reviewers extracted data using a standardized data collection form developed through an iterative consensus-based process. We extracted basic study information and data about each study’s research area, design, and research question. Quotations from the articles were extracted and summarized into standardized factor statements. RESULTS: Of the 2444 articles that were screened, 68 articles were included in the review. The articles identified 27 factors that we grouped into 4 categories: decision maker factors, cognitive factors, task factors, and matching factors. CONCLUSIONS: We have summarized a large number of factors that may be relevant when considering whether hypothetical health services pilot work can be expected to yield results that are consistent with real-world behaviours. Our descriptive framework can serve as the basis for organizing future work exploring which factors are most relevant when seeking to develop complex health services interventions. BioMed Central 2020-04-06 /pmc/articles/PMC7137431/ /pubmed/32252648 http://dx.doi.org/10.1186/s12874-020-00955-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Hayes, Tavis
Hudek, Natasha
Graham, Ian D.
Coyle, Doug
Brehaut, Jamie C.
When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review
title When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review
title_full When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review
title_fullStr When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review
title_full_unstemmed When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review
title_short When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review
title_sort when piloting health services interventions, what predicts real world behaviours? a systematic concept mapping review
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137431/
https://www.ncbi.nlm.nih.gov/pubmed/32252648
http://dx.doi.org/10.1186/s12874-020-00955-7
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