Evidence map›Paper›PMID 35794539›Full record

ArticleBMC nephrology2022

Development of an online patient decision aid for kidney failure treatment modality decisions.

Noel Engels, Paul B van der Nat, Jet W Ankersmid, Janine C M Prick, Ellen Parent, Regina The, Asako Takahashi, Hans A J Bart, Cornelia F van Uden-Kraan, Anne M Stiggelbout and 2 more

Abstract read
In one paragraph

Article in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Review
  5. Patient involvement in nephrology research.Nature reviews. Nephrology · 2025
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  12. Review
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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

12 authors.

Noel EngelsDepartment of Shared Decision-Making and Value-Based Health Care, Santeon, Utrecht, the Netherlands. n.engels@santeon.nl.
Paul B van der NatDepartment of Value-Based Health Care, St. Antonius Hospital, Nieuwegein, the Netherlands.
Jet W AnkersmidDepartment of Shared Decision-Making and Value-Based Health Care, Santeon, Utrecht, the Netherlands.
Janine C M PrickDepartment of Shared Decision-Making and Value-Based Health Care, Santeon, Utrecht, the Netherlands.
Ellen ParentDepartment of Shared Decision-Making and Value-Based Health Care, Santeon, Utrecht, the Netherlands.
Regina TheDepartment of Development, ZorgKeuzeLab, Delft, the Netherlands.
Asako TakahashiDepartment of Development, ZorgKeuzeLab, Delft, the Netherlands.
Hans A J BartDepartment of Shared Decision-Making and Value-Based Health Care, Nierpatiënten Vereniging Nederland, Bussum, the Netherlands.
Cornelia F van Uden-KraanDepartment of Shared Decision-Making and Value-Based Health Care, Santeon, Utrecht, the Netherlands.
Anne M StiggelboutDepartment of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, the Netherlands.
Willem J W BosDepartment of Internal Medicine, Leiden University Medical Centre, Leiden, the Netherlands.
Marinus A van den DorpelDepartment of Internal Medicine, Maasstad Hospital, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient decision aids (PtDAs) support patients and clinicians in shared decision-making (SDM). Real-world outcome information may improve patients' risk perception, and help patients make decisions congruent with their expectations and values. Our aim was to develop an online PtDA to support kidney failure treatment modality decision-making, that: 1) provides patients with real-world outcome information, and 2) facilitates SDM in clinical practice.

methodsThe International Patient Decision Aids Standards (IPDAS) development process model was complemented with a user-centred and convergent mixed-methods approach. Rapid prototyping was used to develop the PtDA with a multidisciplinary steering group in an iterative process of co-creation. The results of an exploratory evidence review and a needs-assessment among patients, caregivers, and clinicians were used to develop the PtDA. Seven Dutch teaching hospitals and two national Dutch outcome registries provided real-world data on selected outcomes for all kidney failure treatment modalities. Alpha and beta testing were performed to assess the prototype and finalise development. An implementation strategy was developed to guide implementation of the PtDA in clinical practice.

resultsThe 'Kidney Failure Decision Aid' consists of three components designed to help patients and clinicians engage in SDM: 1) a paper hand-out sheet, 2) an interactive website, and 3) a personal summary sheet. A 'patients-like-me' infographic was developed to visualise survival probabilities for each treatment modality on the website. Other treatment outcomes were incorporated as event rates (e.g. hospitalisation rates) or explained in text (e.g. the flexibility of each treatment modality). No major revisions were needed after alpha and beta testing. During beta testing, some patients ignored the survival probabilities because they considered these too confronting. Nonetheless, patients agreed that every patient has the right to choose whether they want to view this information. Patients and clinicians believed that the PtDA would help patients make informed decisions, and that it would support values- and preferences-based decision-making. Implementation of the PtDA has started in October 2020.

conclusionsThe 'Kidney Failure Decision Aid' was designed to facilitate SDM in clinical practice and contains real-world outcome information on all kidney failure treatment modalities. It is currently being investigated for its effects on SDM in a clinical trial.

Indexed as

Patient ParticipationRenal InsufficiencyDecision MakingDecision Making, SharedDecision Support TechniquesHumansChronic kidney diseaseConservative care managementEnd-stage kidney diseaseKidney replacement therapyPatient decision aidShared decision-making

Identifiers

PMID35794539
PMCPMC9257566

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.