Evidence map›Paper›PMID 39844892›Full record

ArticleDesign science2024

A human-centered approach for sharing patient experiences through digital storytelling: a research through design study.

Sana Behnam-Asl, Kelly Umstead, Raunak Mahtani, Kristin P Tully, Carolina Gill

Abstract read
In one paragraph

Article in Design science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sana Behnam-AslCollege of Design, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0002-1929-4382
Kelly UmsteadCollege of Design, North Carolina State University, Raleigh, NC, USA.
Raunak MahtaniCollege of Design, North Carolina State University, Raleigh, NC, USA.
Kristin P TullyDepartment of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Carolina GillCollege of Design, North Carolina State University, Raleigh, NC, USA.

Funding

AHRQ HHS R18 HS027260
6 · The paper itself

Abstract

This article outlines a human-centered approach to developing digital patient stories, for sharing their experiences in health care, while preserving patient and others' privacy. Employing a research-through-design approach, the study proposes a design solution using visualization and digital storytelling to document patients' and families' experiences and emotions, as well as their interactions with healthcare professionals in the postnatal unit. By transforming selected observational data into animated stories, this approach has the potential to elicit empathy, stimulate stakeholder engagement, and serve as a practical training tool for clinicians. This work was conducted as part of a broader study that aims to contribute to the existing knowledge base by advancing our understanding of stakeholder needs in birthing facilities and through postpartum discharge. This study primarily focuses on strategies for the development of digital stories and summarizes the factors that contributed to the production of digital stories within the context of sensitive data. It may serve as a valuable resource for students, researchers and practitioners interested in utilizing digital stories to encourage discussions, education and ultimately to enhance systems of health care for respect, equity and support.

Indexed as

Design researchDigital storytellingHealth careHuman-centered approachResearch through design

Identifiers

PMID39844892
PMCPMC11753426

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.