Evidence map›Paper›PMID 39119752›Full record

ArticleCancer2024

Identifying the drivers of overall rating of cancer care: Insights from the second wave of the Swiss Cancer Patient Experiences study.

Vladimir Jolidon, Manuela Eicher, Isabelle Peytremann-Bridevaux, Stefan Aebi, Sandro Anchisi, Adrienne Bettini, Yves Chalandon, Pierre-Yves Dietrich, Michel A Duchosal, Donat Dürr and 4 more

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In one paragraph

Article in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

14 authors.

Vladimir JolidonUnisanté, Center for Primary Care and Public Health, Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-2223-592X
Manuela EicherInstitute of Higher Education and Research in Healthcare, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Isabelle Peytremann-BridevauxUnisanté, Center for Primary Care and Public Health, Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland.
Stefan AebiDivision of Medical Oncology, Cantonal Hospital, Lucerne and University of Bern, Switzerland.
Sandro AnchisiOncology Service, Hospital Center of Valais Romand, Hôpital du Valais, Sion, Switzerland.ORCID https://orcid.org/0000-0002-8060-6349
Adrienne BettiniOncology Service, Fribourg Cantonal Hospital, Fribourg, Switzerland.
Yves ChalandonDepartment of Oncology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-9341-8104
Pierre-Yves DietrichDepartment of Oncology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Michel A DuchosalService of Hematology, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland.
Donat DürrDepartment of Oncology, Zuger Kantonsspital, Baar, Switzerland.
Solange PetersDepartment of Oncology, Lausanne University Hospital, Lausanne, Switzerland.
Roger von MoosMedical Oncology/Hematology, Cantonal Hospital Graubünden, Chur, Switzerland.
Andreas WickiDepartment of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Chantal ArditiUnisanté, Center for Primary Care and Public Health, Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland.

Funding

Fondation ISRECSwiss Cancer Research Foundation HSR-4946-11-2019
6 · The paper itself

Abstract

backgroundPatient experience surveys gather information on various aspects of care via numerous survey items. Identifying the most critical areas of patient experience to prioritize for quality care improvement can be challenging. The objective of this study was to determine which care experience items are the drivers influencing patients' overall rating of cancer care.

methodsData from 2750 adult patients with cancer from the second wave of the Swiss Cancer Patient Experiences study were analyzed. This cross-sectional survey was conducted in eight Swiss hospitals from September 2021 to February 2022. Stepwise logistic regression examined the relationship between overall care rating and 29 patient experience items covering different patient-centered care dimensions while adjusting for sociodemographic and health variables.

resultsOverall, patients rated their cancer care experience at 8.9 out of 10. Stepwise regression identified seven drivers contributing to overall care rating. The strongest drivers were "professionals worked well together" (odds ratio [OR], 4.81) and "tests were not repeated" (OR, 2.09) from the coordination and integration dimension, "offered support for symptoms during treatment" (OR, 2.11) from the physical comfort dimension, followed by "hospital staff ensured available home support" (OR, 1.99), "offered to see health professional for concerns" (OR, 1.91), "treatment options were explained" (OR, 1.75), and "involved in treatment decisions as desired" (OR, 1.68).

conclusionsThis study evaluated the care experiences of patients with cancer with a comprehensive tool that identified seven key factors independently associated with overall care rating. By concentrating on these areas, hospitals can not only improve the patient care experience but also efficiently allocate resources to quality improvement initiatives.

Indexed as

NeoplasmsAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient-Centered CarePatient SatisfactionQuality of Health CareSurveys and QuestionnairesSwitzerlandYoung Adultcancer carecare pathwaydriversoverall ratingoverall satisfactionpatient‐centered carepatient experiencepatient satisfactionpatient surveyquality of care

Identifiers

PMID39119752
PMCPMC11585347

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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.