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Sökning: L773:1569 8041 > Karlstads universitet

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1.
  • Edlund, Sara, 1983-, et al. (författare)
  • Facing negative emotions : Evaluating the effects of training in affirmative communication for contact nurses in cancer care
  • 2022
  • Ingår i: Annals of Oncology. - : Elsevier. - 0923-7534 .- 1569-8041. ; 33:7, s. S1368-S1368
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Background: In cancer care, contact nurses daily meet people who deal with strong,aversive emotions in relation to that they have or may have cancer where the risk ofdying is constantly present. This places demands on the ability of contact nurses tomaster difficult conversations with strong emotional expressions. One communicationmethod known for its regulating effects on emotions is affirmative communication, socalled validation. The overall aim of the current study was to evaluate effects of atraining in validating communication for contact nurses in cancer care, aimed tostrengthen their ability to work in a person-centered way.Methods: This study had a within-group design with pre-, post- and follow-up mea-surements (2 months). Specifically, the study aimed to evaluate whether the vali-dation training coincided with an increase in validation and a decrease in invalidation.Contact nurses from six regions (n ¼ 17) with a generally long work experience as anurse participated in a digital validation training for six weeks (three training sessionsplus three pre-recorded theoretical lectures). Communicative behaviors wereassessed through video-recordings of interactions between the nurses and fictitiouspatients. The videos were encoded by independent coders and analyzed withdependent MANOVA.Results: The contact nurses showed a significant increase in validation and a signif-icant decrease in invalidation after the training. These effects remained at the 2-month follow-up.Conclusions: Experienced healthcare professionals’ affirmative communication skillscan be improved after a brief training in validation.
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2.
  • Matikas, A., et al. (författare)
  • Immune function and response to neoadjuvant chemotherapy in hormone receptor positive, HER2-negative breast cancer
  • 2017
  • Ingår i: Annals of Oncology. - : Oxford University Press. - 0923-7534 .- 1569-8041. ; 28
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • BackgroundGene expression (GE) signatures and Tumor Infiltrating Lymphocyte (TILs) enumeration have shown promise as predictors of response to neoadjuvant chemotherapy in Hormone Receptor negative (HR-) and HER2+, but not in HR+/HER2- breast cancer (BC). This study aimed to explore their predictive value in HR+/HER2- BC, based on previous work from our group on the association of immune function and chemosensitivity in advanced HR+ BC.MethodsThe PROMIX phase 2 trial enrolled patients with locally advanced HER2- BC to receive six cycles of epirubicin and docetaxel, plus bevacizumab during cycles 3-6. Patients underwent tumor biopsies at baseline and after cycle 2 for GE profiling using DNA microarrays and TIL enumeration according to standard guidelines. Since pathologic complete remission (pCR) is relatively rare in HR+ BC, we also associated an immune gene module score (IMS) and TIL counts with the non-dichotomous variable of decrease in tumor size.ResultsOf the 150 enrolled patients, n = 113 were HR+. For n = 71, both TIL and GE data were available at baseline, while for n = 78 and n = 49 patients longitudinal TIL and GE data at baseline and cycle 2 were available, respectively. At baseline, on both univariate (OR = 2.29, P = 0.037) and multivariate analysis (OR = 2.35, P = 0.044) IMS was associated with pCR, while its association with tumor shrinkage was only apparent on univariate (P = 0.047) and not multivariate analysis (P = 0.061). TIL infiltration >50% (n = 9) was associated with neither pCR (OR = 1.812, P = 0.61) nor tumor shrinkage (P = 0.99). However, decreases in TIL counts in cycle 2 compared with baseline were associated with lesser decreases in tumor size (P = 0.043 for univariate and P = 0.044 for multivariate analysis).
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