Making sense of PROM outcomes: a mixed method study to optimize graphical visualization formats for children

Graphs are often used to increase patient understanding of Patient Reported Outcome Measure (PROM) scores. We aimed to investigate which graph visualization options are best interpreted by children. We conducted a quantitative study to assess children’s interpretation accuracy and perceived clarity of different PROM visualizations graphs through a test, and a qualitative study using ‘think aloud’ interviews about the same visualizations to explore how different visual elements were used for interpretation. Participants included (1) children from the Dutch general population (quantitative) and (2) children (8-18y) treated at Emma Children’s Hospital (quantitative and qualitative).We created sample graphs (e.g. bar, line) based on literature, varied graphical elements (e.g. addition of numerical information yes/no), and presented them in randomized order. Logistic and linear mixed models analyzed interpretation accuracy and clarity ratings. We analyzed interviews with a deductive approach. We included 558 children in the quantitative study (1: 546, 2: 12), and 14 in the interviews. Foundational elements like clear labeling were found beneficial. ‘Heatmap’ and ‘color’ as indicators of concerning scores had higher interpretation accuracy and clarity, and SD-lines lower. Bar graphs had slightly higher accuracy. Radar graphs scored significantly worse on interpretation accuracy and clarity compared to all other graphs. Interviews revealed a preference for single domain graphs with color-coding indicating concerning scores. We recommend using bar graphs incorporating heatmaps or color as concerning score indicators in clinical encounters with children. Application of our results will likely facilitate patient engagement in consultations and potentially improve patient-centered care.

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Publication Details

Journal
Quality of Life Research
Published
2026-02-12
DOI
https://doi.org/10.1007/s11136-026-04172-5
Citations
1
Primary Topic
Patient-Provider Communication in Healthcare
Type
article
Field-Weighted Citation Impact
46.02
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article

Making sense of PROM outcomes: a mixed method study to optimize graphical visualization formats for children

Selina Limmen, Dorinde Korteling, Maarten Boers, Lorynn Teela et al.
1 citations
Quality of Life Research
Patient-Provider Communication in Healthcare
46.02
article

Making sense of PROM outcomes: a mixed method study to optimize graphical visualization formats for children

Selina Limmen, Dorinde Korteling, Maarten Boers, Lorynn Teela, C. B. Terwee, Maud M. van Muilekom, Lotte Haverman, Hedy A. van Oers
article en
1 citations

Abstract

Graphs are often used to increase patient understanding of Patient Reported Outcome Measure (PROM) scores. We aimed to investigate which graph visualization options are best interpreted by children. We conducted a quantitative study to assess children’s interpretation accuracy and perceived clarity of different PROM visualizations graphs through a test, and a qualitative study using ‘think aloud’ interviews about the same visualizations to explore how different visual elements were used for interpretation. Participants included (1) children from the Dutch general population (quantitative) and (2) children (8-18y) treated at Emma Children’s Hospital (quantitative and qualitative).We created sample graphs (e.g. bar, line) based on literature, varied graphical elements (e.g. addition of numerical information yes/no), and presented them in randomized order. Logistic and linear mixed models analyzed interpretation accuracy and clarity ratings. We analyzed interviews with a deductive approach. We included 558 children in the quantitative study (1: 546, 2: 12), and 14 in the interviews. Foundational elements like clear labeling were found beneficial. ‘Heatmap’ and ‘color’ as indicators of concerning scores had higher interpretation accuracy and clarity, and SD-lines lower. Bar graphs had slightly higher accuracy. Radar graphs scored significantly worse on interpretation accuracy and clarity compared to all other graphs. Interviews revealed a preference for single domain graphs with color-coding indicating concerning scores. We recommend using bar graphs incorporating heatmaps or color as concerning score indicators in clinical encounters with children. Application of our results will likely facilitate patient engagement in consultations and potentially improve patient-centered care.

Quality of Life ResearchVol. 35(3)
Emma Kinderziekenhuis (NL), War Child (NL), GGD Amsterdam (NL), Public Health Service of Amsterdam (NL), Child Development Center (QA), Amsterdam University Medical Centers (NL), Vrije Universiteit Amsterdam (NL), University of Amsterdam (NL)
Quality Education
Openalex Percentile: Top 1%
Patient-Provider Communication in Healthcare
46.02
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