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1000 Titel
  • Characteristics and patient-reported outcomes associated with dropout in severely affected oncological patients: an exploratory study
1000 Autor/in
  1. Gebert, Pimrapat |
  2. Schindel, Daniel |
  3. Frick, Johann |
  4. Schenk, Liane |
  5. Grittner, Ulrike |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-04-20
1000 Erschienen in
1000 Quellenangabe
  • 21(1):77
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12874-021-01259-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059010/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Patient-reported outcome measures (PROMs) are commonly-used surrogates for clinical outcomes in cancer research. When researching severe diseases such as cancer, it is difficult to avoid the problem of incomplete questionnaires from drop-outs or missing data from patients who pass away during the observation period. The aim of this exploratory study was to explore patient characteristics and the patient-reported outcomes associated with the time-to-dropout.!##!Methods!#!In an Oncological Social Care Project (OSCAR) study, the condition of the participants was assessed four times within 12 months (t0: baseline, t1: 3 months, t2: 6 months, and t3: 12 months) by validated PROMs. We performed competing-risk regressions based on Fine and Gray's proportional sub-distribution hazards model for exploring factors associated with time-to-dropout. Death was considered a competing risk.!##!Results!#!Three hundred sixty-two participants were analyzed in the study. 193 (53.3%) completed a follow-up after 12 months, 67 (18.5%) patients dropped out, and 102 patients (28.2%) died during the study period. Poor subjective social support was related to a higher risk of drop-out (SHR = 2.10; 95%CI: 1.01-4.35). Lower values in health-related quality of life were related to drop-out and death. The sub-scales global health status/QoL, role functioning, physical functioning, and fatigue symptom in the EORTC QLQ-C30 were key characteristics of early drop-out.!##!Conclusion!#!Severely affected cancer patients with poor social support and poor quality of life seem more likely to drop out of studies than patients with higher levels of social support and a better quality of life. This should be considered when planning studies to assess advanced cancer patients. Methods of close continued monitoring should be actively used when patient experiences a substantial deterioration in their health-related quality of life and symptoms during the study. Results for such studies have to be interpreted with caution in light of specific drop-out mechanisms.!##!Trial registration!#!OSCAR study was registered to the German Clinical Trials Register (DRKS-ID: DRKS00013640 ). Registered 29 December 2017.
1000 Sacherschließung
lokal Surveys and Questionnaires [MeSH]
lokal Health Status [MeSH]
lokal Health-related quality of life
lokal Cancer
lokal Advanced cancer
lokal Monotone missing data
lokal Humans [MeSH]
lokal Non-compliance
lokal Patient-reported outcome measures
lokal Fatigue [MeSH]
lokal Patient Reported Outcome Measures [MeSH]
lokal Data analysis, statistics and modelling
lokal Quality of Life [MeSH]
lokal Research Article
lokal Attrition
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-5946-7137|https://frl.publisso.de/adhoc/uri/U2NoaW5kZWwsIERhbmllbA==|https://frl.publisso.de/adhoc/uri/RnJpY2ssIEpvaGFubg==|https://frl.publisso.de/adhoc/uri/U2NoZW5rLCBMaWFuZQ==|https://frl.publisso.de/adhoc/uri/R3JpdHRuZXIsIFVscmlrZQ==
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