Download
12913_2024_Article_11225.pdf 1,13MB
WeightNameValue
1000 Titel
  • Enhancing patient informed consent in elective skin cancer surgeries: a comparative study of traditional and digital approaches in a German public hospital
1000 Autor/in
  1. Schulz, Alexandra |
  2. Bohnet-Joschko, Sabine |
1000 Verlag
  • BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-08-02
1000 Erschienen in
1000 Quellenangabe
  • 24(1):879
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12913-024-11225-3 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11295654/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>This study aims to investigate the integration of modern sources of patient information, such as videos, internet-based resources, and scientific abstracts, into the traditional patient informed consent process in outpatient elective surgeries. The goal is to optimize the informed consent experience, enhance patient satisfaction, and promote shared decision making (SDM) between patients and surgeons. By exploring different patient informed consent formats and their impact on patient satisfaction, this research seeks to improve healthcare practices and ultimately enhance patient outcomes. The findings of this study will contribute to the ongoing efforts to improve the informed consent process in public hospitals and advance patient-centred care.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Data collection occurred at the day care clinic of a prominent German public hospital, forming an integral component of a prospective clinical investigation. The study exclusively focused on individuals who had undergone surgical intervention for skin cancer. For the purpose of meticulous data examination, the statistical software SPSS version 21 was harnessed. In the course of this study, a chi-square test was aptly employed. Its purpose was to scrutinize the nuances in patient experiences pertaining to informed consent across four distinct categories, viz., oral informed consent discussion (Oral ICD), written informed consent discussion (Written ICD), video-assisted informed consent discussion (video-assisted ICD), and digitally assisted informed consent discussion (digital-assisted ICD). The primary dataset of this inquiry was diligently gathered via a structured questionnaire administered to a targeted cohort of 160 patients. Within this sample, a balanced representation of genders was observed, encompassing 82 males and 78 females. Their collective age span ranged from 18 to 92 years, with an average age of 71 years. A randomized selection methodology was employed to include participants in this study during the period spanning from July 2017 to August 2018.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Significant differences were observed across the groups for all research questions, highlighting variations in patient responses. Video-assisted and digital-assisted IC were rated as superior in patient satisfaction with information compared to written and oral IC. Demographic profiles of the four study groups were found to be comparable.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>The findings of this study indicate that the incorporation of digital technologies in the informed consent process can enhance patient understanding during outpatient elective skin cancer surgeries. These results have important implications for increasing patient satisfaction and improving the SDM process within the hospital environment.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Patient satisfaction
lokal Research
lokal Patient informed consent
lokal Patient engagement
lokal Informed consent conversation
lokal Shared decision making
lokal Digitalisation
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2NodWx6LCBBbGV4YW5kcmE=|https://frl.publisso.de/adhoc/uri/Qm9obmV0LUpvc2Noa28sIFNhYmluZQ==
1000 Hinweis
  • DeepGreen-ID: 51c982dc49e449b9b63fb594f92e4830 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Private Universität Witten/Herdecke gGmbH |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Private Universität Witten/Herdecke gGmbH |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6524772.rdf
1000 Erstellt am 2025-07-07T06:36:43.235+0200
1000 Erstellt von 322
1000 beschreibt frl:6524772
1000 Zuletzt bearbeitet 2025-07-30T10:33:18.383+0200
1000 Objekt bearb. Wed Jul 30 10:33:18 CEST 2025
1000 Vgl. frl:6524772
1000 Oai Id
  1. oai:frl.publisso.de:frl:6524772 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source