Searching for rich stories in Rich Pictures: Analysing visual stories about living with cancer

Stories play an important role in making meaning of illness experiences and (re)establishing self-identity. Yet, telling and investigating stories about living with incurable cancer may be challenging, as people may perceive their illness experiences as hard to communicate. Visual research methods are increasingly employed to tell stories about illness. Rich Pictures (RPs) - hand-drawn, visual stories - stand out due to their ability to visualise and investigate multidimensional illness stories in a single snapshot and, when repeatedly used, their construction over time. RPs therefore present opportunity in investigating the construction of stories about life with an incurable disease. However, RP analysis methods often prioritise the accompanying verbal narratives, and practical guidance for the analysis of RPs themselves remains scarce. This may overlook the valuable contributions RPs can have in understanding illness narratives. As such, we developed a multi-level, systematic analysis process for RPs themselves, i.e., without the analysis of interviews, as stories of life with incurable cancer. Our method comprises a core analytical level - a six-step, systematic coding process, with two 'extensions' for comparisons of RPs across different timepoints and groups. This is supported by 'gallery walks' - a participatory approach to visual analysis. In doing so, we forward our method and the epistemic richness of analytically engaging with RPs as valuable to research on the ways people living with incurable cancer (re)create their stories, and in research contexts beyond.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-05-12
DOI
https://doi.org/10.1371/journal.pone.0348112
Primary Topic
Participatory Visual Research Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Searching for rich stories in Rich Pictures: Analysing visual stories about living with cancer

Esther Helmich, Niels van Poecke, Emily R.E. Evans, Hanneke W. M. van Laarhoven
PLoS ONE
Participatory Visual Research Methods
article

Searching for rich stories in Rich Pictures: Analysing visual stories about living with cancer

Esther Helmich, Niels van Poecke, Emily R.E. Evans, Hanneke W. M. van Laarhoven
article en

Abstract

Stories play an important role in making meaning of illness experiences and (re)establishing self-identity. Yet, telling and investigating stories about living with incurable cancer may be challenging, as people may perceive their illness experiences as hard to communicate. Visual research methods are increasingly employed to tell stories about illness. Rich Pictures (RPs) - hand-drawn, visual stories - stand out due to their ability to visualise and investigate multidimensional illness stories in a single snapshot and, when repeatedly used, their construction over time. RPs therefore present opportunity in investigating the construction of stories about life with an incurable disease. However, RP analysis methods often prioritise the accompanying verbal narratives, and practical guidance for the analysis of RPs themselves remains scarce. This may overlook the valuable contributions RPs can have in understanding illness narratives. As such, we developed a multi-level, systematic analysis process for RPs themselves, i.e., without the analysis of interviews, as stories of life with incurable cancer. Our method comprises a core analytical level - a six-step, systematic coding process, with two 'extensions' for comparisons of RPs across different timepoints and groups. This is supported by 'gallery walks' - a participatory approach to visual analysis. In doing so, we forward our method and the epistemic richness of analytically engaging with RPs as valuable to research on the ways people living with incurable cancer (re)create their stories, and in research contexts beyond.

PLoS ONEVol. 21(5)
Amsterdam University Medical Centers (NL), Cancer Center Amsterdam (NL), University of Amsterdam (NL)
KWF Kankerbestrijding
Openalex Percentile: Top 3%
Participatory Visual Research Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Searching for rich stories in Rich Pictures: Analysing visual stories about living with cancer — Esther Helmich, Niels van Poecke, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS