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What was visualized? A method for describing content of performance summary displays in feedback interventions
BACKGROUND: Visual displays such as charts and tables may significantly moderate the effects of audit and feedback interventions, but the systematic study of these intervention components will likely remain limited without a method for isolating the information content of a visual display from its f...
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/PMC7181510/ https://www.ncbi.nlm.nih.gov/pubmed/32326895 http://dx.doi.org/10.1186/s12874-020-00951-x |
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author | Lee, Dahee Panicker, Veena Gross, Colin Zhang, Jessica Landis-Lewis, Zach |
author_facet | Lee, Dahee Panicker, Veena Gross, Colin Zhang, Jessica Landis-Lewis, Zach |
author_sort | Lee, Dahee |
collection | PubMed |
description | BACKGROUND: Visual displays such as charts and tables may significantly moderate the effects of audit and feedback interventions, but the systematic study of these intervention components will likely remain limited without a method for isolating the information content of a visual display from its form elements. The objective of this study is to introduce such a method based on an application of visualization frameworks to enable a systematic approach to answer the question, “What was visualized?” in studies of audit and feedback. METHODS: The proposed method uses 3 steps to systematically identify and describe the content of visual displays in feedback interventions: 1) identify displays, 2) classify content, and 3) identify elements. The use of a visualization framework led us to identify information content types as representations of measures (metrics or indicators), ascribees (feedback recipients and comparators), performance levels, and time intervals. We illustrate the proposed method in a series of 3 content analyses, one for each step, to identify visual displays and their information content in published example performance summaries. RESULTS: We analyzed a convenience sample of 44 published studies of audit and feedback. Through each step, two coders had good agreement. We identified 42 visual displays of performance, containing 6 unique combinations of content types. What was visualized most commonly in the sample was performance levels across a recipient and comparators (i.e. ascribees) for a single measure and single time interval (n = 16). Content types varied in their inclusion of measures, ascribees, and time intervals. CONCLUSIONS: The proposed method appears to be feasible to use as a systematic approach to describing visual displays of performance. The key implication of the method is that it offers more granular and consistent description for empirical, theoretical, and design studies about the information content of feedback interventions. |
format | Online Article Text |
id | pubmed-7181510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71815102020-04-28 What was visualized? A method for describing content of performance summary displays in feedback interventions Lee, Dahee Panicker, Veena Gross, Colin Zhang, Jessica Landis-Lewis, Zach BMC Med Res Methodol Research Article BACKGROUND: Visual displays such as charts and tables may significantly moderate the effects of audit and feedback interventions, but the systematic study of these intervention components will likely remain limited without a method for isolating the information content of a visual display from its form elements. The objective of this study is to introduce such a method based on an application of visualization frameworks to enable a systematic approach to answer the question, “What was visualized?” in studies of audit and feedback. METHODS: The proposed method uses 3 steps to systematically identify and describe the content of visual displays in feedback interventions: 1) identify displays, 2) classify content, and 3) identify elements. The use of a visualization framework led us to identify information content types as representations of measures (metrics or indicators), ascribees (feedback recipients and comparators), performance levels, and time intervals. We illustrate the proposed method in a series of 3 content analyses, one for each step, to identify visual displays and their information content in published example performance summaries. RESULTS: We analyzed a convenience sample of 44 published studies of audit and feedback. Through each step, two coders had good agreement. We identified 42 visual displays of performance, containing 6 unique combinations of content types. What was visualized most commonly in the sample was performance levels across a recipient and comparators (i.e. ascribees) for a single measure and single time interval (n = 16). Content types varied in their inclusion of measures, ascribees, and time intervals. CONCLUSIONS: The proposed method appears to be feasible to use as a systematic approach to describing visual displays of performance. The key implication of the method is that it offers more granular and consistent description for empirical, theoretical, and design studies about the information content of feedback interventions. BioMed Central 2020-04-23 /pmc/articles/PMC7181510/ /pubmed/32326895 http://dx.doi.org/10.1186/s12874-020-00951-x 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 Lee, Dahee Panicker, Veena Gross, Colin Zhang, Jessica Landis-Lewis, Zach What was visualized? A method for describing content of performance summary displays in feedback interventions |
title | What was visualized? A method for describing content of performance summary displays in feedback interventions |
title_full | What was visualized? A method for describing content of performance summary displays in feedback interventions |
title_fullStr | What was visualized? A method for describing content of performance summary displays in feedback interventions |
title_full_unstemmed | What was visualized? A method for describing content of performance summary displays in feedback interventions |
title_short | What was visualized? A method for describing content of performance summary displays in feedback interventions |
title_sort | what was visualized? a method for describing content of performance summary displays in feedback interventions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181510/ https://www.ncbi.nlm.nih.gov/pubmed/32326895 http://dx.doi.org/10.1186/s12874-020-00951-x |
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