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1000 Titel
  • What are the risk factors for avoidable transitions in the last year of life? A qualitative exploration of professionals’ perspectives for improving care in Germany
1000 Autor/in
  1. Kasdorf, Alina |
  2. Dust, Gloria |
  3. Vennedey, Vera |
  4. Rietz, Christian |
  5. Polidori, Maria C. |
  6. Voltz, Raymond |
  7. Strupp, Julia |
  8. Albus, Christian |
  9. Ansmann, Lena |
  10. Jessen, Frank |
  11. Karbach, Ute |
  12. Kuntz, Ludwig |
  13. Schubert, Ingrid |
  14. Schulz-Nieswandt, Frank |
  15. Stock, Stephanie |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-15
1000 Erschienen in
1000 Quellenangabe
  • 21(1):147
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12913-021-06138-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885553/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Little is known about the nature of patients' transitions between healthcare settings in the last year of life (LYOL) in Germany. Patients often experience transitions between different healthcare settings, such as hospitals and long-term facilities including nursing homes and hospices. The perspective of healthcare professionals can therefore provide information on transitions in the LYOL that are avoidable from a medical perspective. This study aims to explore factors influencing avoidable transitions across healthcare settings in the LYOL and to disclose how these could be prevented.!##!Methods!#!Two focus groups (n = 11) and five individual interviews were conducted with healthcare professionals working in hospitals, hospices and nursing services from Cologne, Germany. They were asked to share their observations about avoidable transitions in the LYOL. The data collection continued until the point of information power was reached and were audio recorded and analysed using qualitative content analysis.!##!Results!#!Four factors for potentially avoidable transitions between care settings in the LYOL were identified: healthcare system, organization, healthcare professional, patient and relatives. According to the participants, the most relevant aspects that can aid in reducing unnecessary transitions include timely identification and communication of the LYOL; consideration of palliative care options; availability and accessibility of care services; and having a healthcare professional taking main responsibility for care planning.!##!Conclusions!#!Preventing avoidable transitions by considering the multicomponent factors related to them not only immediately before death but also in the LYOL could help to provide more value-based care for patients and improving their quality of life.
1000 Sacherschließung
lokal Female [MeSH]
lokal Interview
lokal Terminal Care [MeSH]
lokal Humans [MeSH]
lokal Risk Factors [MeSH]
lokal Last year of life
lokal Interprofessional perspectives
lokal Germany/epidemiology [MeSH]
lokal Care transitions
lokal Palliative care
lokal Qualitative Research [MeSH]
lokal Quality of Life [MeSH]
lokal Quality Improvement [MeSH]
lokal Focus groups
lokal Organization, structure and delivery of healthcare
lokal Patient Transfer [MeSH]
lokal Research Article
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4982-9288|https://frl.publisso.de/adhoc/uri/RHVzdCwgR2xvcmlh|https://orcid.org/0000-0003-4977-750X|https://frl.publisso.de/adhoc/uri/UmlldHosIENocmlzdGlhbg==|https://frl.publisso.de/adhoc/uri/UG9saWRvcmksIE1hcmlhIEMu|https://frl.publisso.de/adhoc/uri/Vm9sdHosIFJheW1vbmQ=|https://frl.publisso.de/adhoc/uri/U3RydXBwLCBKdWxpYQ==|https://frl.publisso.de/adhoc/uri/QWxidXMsIENocmlzdGlhbg==|https://frl.publisso.de/adhoc/uri/QW5zbWFubiwgTGVuYQ==|https://frl.publisso.de/adhoc/uri/SmVzc2VuLCBGcmFuaw==|https://frl.publisso.de/adhoc/uri/S2FyYmFjaCwgVXRl|https://frl.publisso.de/adhoc/uri/S3VudHosIEx1ZHdpZw==|https://frl.publisso.de/adhoc/uri/U2NodWJlcnQsIEluZ3JpZA==|https://frl.publisso.de/adhoc/uri/U2NodWx6LU5pZXN3YW5kdCwgRnJhbms=|https://frl.publisso.de/adhoc/uri/U3RvY2ssIFN0ZXBoYW5pZQ==
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