An online intervention to improve oncology health professional self-efficacy in communicating with carers: Hybrid effectiveness-implementation evaluation of the eTRIO program.

OBJECTIVES: Many oncology health professionals (HPs) report communicating with carers as complex; and receive limited carer-relevant training. We developed an online HP education program for supporting and managing carer involvement (eTRIO). We aimed to assess whether HPs' self-efficacy in carer communication, knowledge, and decision-making preferences improve following eTRIO. Satisfaction and implementation potential were assessed. METHODS: This type 1 hybrid effectiveness-implementation study used a pre-post single arm intervention design. HPs completed baseline measures, the eTRIO online module, and measures at 1- and 12-weeks post-intervention. Measures included: self-efficacy in carer communication (13-items), applied knowledge (7-items), preference for carer involvement in decisions (1-item). Fifteen of participants completed feedback interviews which underwent thematic analysis. User analytics were collected and analysed. RESULTS: Fifty-six HPs completed baseline measures, 42 completed post- and follow-up measures. At baseline mean self-efficacy score was 88. HPs showed a statistically significant increase in self-efficacy post-intervention (mean = 105.8, CI [12.99, 20.47]), maintained at 12-weeks (mean = 101.1, CI [8.00, 15.72]). There were no changes in knowledge or decision-making preferences. Program engagement and satisfaction were high, 86.7% participants rated eTRIO as very/extremely helpful. CONCLUSIONS AND PRACTICE IMPLICATIONS: eTRIO provided HPs with confidence to effectively engage with carers and manage complex situations such as family dominance. These gains are noteworthy, as conflict with families/carers contributes to HP burnout.

Predicting 2-year survival in stage I-III non-small cell lung cancer: the development and validation of a scoring system from an Australian cohort.

BACKGROUND: There are limited data on survival prediction models in contemporary inoperable non-small cell lung cancer (NSCLC) patients. The objective of this study was to develop and validate a survival prediction model in a cohort of inoperable stage I-III NSCLC patients treated with radiotherapy. METHODS: Data from inoperable stage I-III NSCLC patients diagnosed from 1/1/2016 to 31/12/2017 were collected from three radiation oncology clinics. Patient, tumour and treatment-related variables were selected for model inclusion using univariate and multivariate analysis. Cox proportional hazards regression was used to develop a 2-year overall survival prediction model, the South West Sydney Model (SWSM) in one clinic (n = 117) and validated in the other clinics (n = 144). Model performance, assessed internally and on one independent dataset, was expressed as Harrell's concordance index (c-index). RESULTS: The SWSM contained five variables: Eastern Cooperative Oncology Group performance status, diffusing capacity of the lung for carbon monoxide, histological diagnosis, tumour lobe and equivalent dose in 2 Gy fractions. The SWSM yielded a c-index of 0.70 on internal validation and 0.72 on external validation. Survival probability could be stratified into three groups using a risk score derived from the model. CONCLUSIONS: A 2-year survival model with good discrimination was developed. The model included tumour lobe as a novel variable and has the potential to guide treatment decisions. Further validation is needed in a larger patient cohort.