Evidence map›Paper›PMID 42220618›Full record

ArticleInternet interventions2026

Development of personas to tailor prehabilitation care for patients undergoing cancer surgery: An exploratory study.

Karin Valkenet, Miriam van der Velde, Petra Bor, Edwin Geleijn, Willem M Otte, Germijn Heijnen, Ad Kerst, Anne-Marie Pierik-van Roest, Rik Bijl, Marije Marsman and 1 more

Abstract read
In one paragraph

Article in Internet interventions, 2026. 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

11 authors.

Karin ValkenetDepartment of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Miriam van der VeldeDepartment of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Petra BorDepartment of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Edwin GeleijnDepartment of Rehabilitation Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Willem M OtteDepartment of Child Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Germijn HeijnenDepartment of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Ad KerstDepartment of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Anne-Marie Pierik-van RoestDepartment of Oncological Surgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Rik BijlDepartment of Anesthesiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Marije MarsmanDepartment of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Marike van der LeedenDepartment of Rehabilitation Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prehabilitation is increasingly used to improve postoperative outcomes. Despite the growing emphasis on tailored care, healthcare nowadays is often highly protocolized. Personas, fictional but realistic representations of patients and their needs, might be helpful to design and deliver tailored prehabilitation support. Methods: Exploratory multi-methods study. First, the Nominal Group Technique was used to establish a list of patient characteristics for determining the appropriate mode of prehabilitation support. Second, a cluster analysis was performed and the Proto Persona Development Method was used to develop personas. Third, the modes of prehabilitation support deemed appropriate were determined per persona. Fourth, a patient consultation session was conducted. Results: The first step resulted in a list of 29 patient characteristics: physical fitness, health literacy, frailty, personal preference and motivation were ranked as most important for tailoring prehabilitation. The cluster analysis ( Conclusions: The personas show the importance of providing different communication and modes of prehabilitation care. Their use might avoid cognitive biases by adapting the information to the needs per individual patient.

Indexed as

HealthcareOncologyPersonalized carePersonasPrehabilitationTailored care

Identifiers

PMID42220618
PMCPMC13217499

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.