Evidence map›Paper›PMID 42204823›Full record

ArticleArtificial organs2026

The Role of Patients' Treatment Expectations in Ventricular Assist Device Support: Results From a Convergent Mixed Methods Study.

Simon Felix Zerth, Bernd Niemann, Miriam Salzmann-Djufri, Sandra Semmig-Könze, Katharina Tigges-Limmer, Yvonne Brocks, Monika Sadlonova, Anna Markser, Tanja Zimmermann, Lara Kristin Oldach and 1 more

Abstract read
In one paragraph

Article in Artificial organs, 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
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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.

Simon Felix ZerthDivision of Clinical Psychology and Psychotherapy, Department of Psychology, Marburg University, Marburg, Germany.ORCID https://orcid.org/0009-0001-7869-6349
Bernd NiemannDepartment of Cardiac-, Thoracic- and Vascular Surgery, University Medical Centre Goettingen, Goettingen, Germany.ORCID https://orcid.org/0000-0003-4431-7002
Miriam Salzmann-DjufriDepartment of Cardiac and Vascular Surgery, University Hospital Giessen, Giessen, Germany.
Sandra Semmig-KönzeDepartment of Cardiac Surgery, Leipzig Heart Centre, University of Leipzig, Leipzig, Germany.
Katharina Tigges-LimmerClinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Centre NRW, University Clinic of the Ruhr University Bochum, Bad Oeynhausen, Germany.ORCID https://orcid.org/0009-0001-5825-8405
Yvonne BrocksClinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Centre NRW, University Clinic of the Ruhr University Bochum, Bad Oeynhausen, Germany.ORCID https://orcid.org/0000-0003-2581-496X
Monika SadlonovaDepartment of Cardiac-, Thoracic- and Vascular Surgery, University Medical Centre Goettingen, Goettingen, Germany.ORCID https://orcid.org/0000-0003-3629-252X
Anna MarkserClinical Institute for Psychosomatic Medicine and Psychotherapy, University Hospital Duesseldorf, Duesseldorf, Germany.ORCID https://orcid.org/0000-0001-8076-3523
Tanja ZimmermannDepartment of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany.ORCID https://orcid.org/0000-0002-5069-7278
Lara Kristin OldachDivision of Clinical Psychology and Psychotherapy, Department of Psychology, Marburg University, Marburg, Germany.
Stefan SalzmannDivision of Clinical Psychology and Psychotherapy, Department of Psychology, Marburg University, Marburg, Germany.ORCID https://orcid.org/0000-0002-9597-0303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTreatment expectations influence patient-reported outcomes in chronic conditions; however, their role in ventricular assist device (VAD) therapy remains poorly understood. This study aimed to: (i) identify treatment expectations held by individuals with a VAD, (ii) assess the extent to which these expectations have been met, and (iii) examine how treatment expectations relate to VAD-specific health-related quality of life (HRQoL).

methodsA cross-sectional convergent mixed methods design with equal weighting of the qualitative and quantitative parts was employed. Quantitative questionnaire data (N = 47) from adult individuals with a VAD were analyzed using descriptive statistics and Bayesian multiple linear regression. Qualitative data (N = 8) were obtained through semi-structured interviews and analyzed using reflexive thematic analysis.

resultsParticipants reported having had high positive treatment expectations and moderate negative treatment expectations, on average. Approximately half of the participants indicated that they felt better than expected, while one-third felt worse than expected. Bayesian multiple linear regression analysis revealed strong evidence for several expectation domains and expectation violation as relevant for HRQoL. The thematic analysis resulted in three themes: "No choice: survival as context for expectations," "Shared experience and social support as mechanisms for coping and expectation adjustment," and "Setting expectations through provider communication."

conclusionsThis mixed methods study suggests that treatment expectations play a significant role in VAD therapy and may be associated with HRQoL. Assessing and, in some cases, managing treatment expectations may improve VAD care and enable more informed decision-making.

Indexed as

Heart-Assist DevicesHeart FailureQuality of LifeAdaptation, PsychologicalAdultAgedBayes TheoremCross-Sectional StudiesFemaleHumansMaleMiddle AgedOutcome ExpectationsPatient Reported Outcome MeasuresSocial SupportSurveys and Questionnairesexpectation violationheart failureLVADtreatment expectationsVAD

Identifiers

PMID42204823
PMCPMC13525227

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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.