Adaptation and preliminary testing of the registered nursing forecasting (RN4CAST) nurse survey for use in the ambulatory chemotherapy setting.

PURPOSE: This study aimed to adapt the Registered Nurse Forecast (RN4CAST) nurse survey making it appropriate to assess the working environments of ambulatory chemotherapy nurses, specifically focusing on care left undone. METHOD: A two-phase approach was used. Firstly, cognitive interviews were conducted to adapt role specific sections of the RN4CAST nurses survey. The interviews were analysed to assess comprehension, retrieval, judgement and response processes to create the RN4CAST-chemotherapy assessment tool (CAT) survey. Secondly, a single centre feasibility study was undertaken to assess acceptability of the RN4CAST-CAT survey in an ambulatory chemotherapy setting. Results of the feasibility study were analysed using descriptive statistics and compared with routinely collected patient experience data. RESULTS: The cognitive interviews (n=6) resulted in important amendments to the RN4CAST-CAT. Response rate to the feasibility study was acceptable at 57% (n=12) and item completion rate was good (on average only 1 response missing per item). On average nurses looked after nine patients per shift, administered seven chemotherapy treatments and worked an hour and 10 min over their contracted time. Main areas of care left undone were related to verbal communication with patients and assessing patient comorbidities and toxicities. CONCLUSIONS: We were able to adapt the RN4CAST to make it suitable for use in the ambulatory chemotherapy setting. Our study offers preliminary evidence that the RN4CAST-CAT and methodology are feasible and acceptable within the ambulatory chemotherapy setting. Larger scale testing is now required and if validated the RN4CAST-CAT has the potential to provide useful insights into the impact of nursing workload on staff experience, patient care and outcomes on ambulatory chemotherapy settings.

The emerging role of digital health in monitoring and supporting people living with cancer and the consequences of its treatments.

PURPOSE OF REVIEW: As rising numbers of people are living with the long-term impact of cancer, digital health is playing an increasingly important role in the monitoring and support of survivors and their caregivers. This article reviews current evidence, practice and developments, and identifies emerging issues and opportunities. RECENT FINDINGS: Digital health innovations, primarily using internet or smartphone-enabled applications, have been successfully developed, particularly in the areas of symptom management, decision-making, survivorship and follow-up care and palliative care. The research is characterized by much developmental activity, and evidence is accruing for efficacy and effectiveness. Opportunities afforded by digital health include timelier and patient-centred evidence-based care, offering improved clinical outcomes and independence. Barriers to implementation include lack of patient and professional engagement, perceived burden, depersonalization and missed care. SUMMARY: There is much enthusiasm for the role of digital health in monitoring and providing support to cancer survivors, but further research is needed to establish clinical efficacy and understand the mechanisms for successful implementation in practice. The role of wearables, the internet of things and big data analytics is yet to be fully explored in supportive cancer care and may present new opportunities to enhance care and survivor experience.

Anxiety after completion of treatment for early-stage breast cancer: a systematic review to identify candidate predictors and evaluate multivariable model development.

PURPOSE: The purpose of this review was to identify potential candidate predictors of anxiety in women with early-stage breast cancer (BC) after adjuvant treatments and evaluate methodological development of existing multivariable models to inform the future development of a predictive risk stratification model (PRSM). METHODS: Databases (MEDLINE, Web of Science, CINAHL, CENTRAL and PsycINFO) were searched from inception to November 2015. Eligible studies were prospective, recruited women with stage 0-3 BC, used a validated anxiety outcome ≥3 months post-treatment completion and used multivariable prediction models. Internationally accepted quality standards were used to assess predictive risk of bias and strength of evidence. RESULTS: Seven studies were identified: five were observational cohorts and two secondary analyses of RCTs. Variability of measurement and selective reporting precluded meta-analysis. Twenty-one candidate predictors were identified in total. Younger age and previous mental health problems were identified as risk factors in ≥3 studies. Clinical variables (e.g. treatment, tumour grade) were not identified as predictors in any studies. No studies adhered to all quality standards. CONCLUSIONS: Pre-existing vulnerability to mental health problems and younger age increased the risk of anxiety after completion of treatment for BC survivors, but there was no evidence that chemotherapy was a predictor. Multiple predictors were identified but many lacked reproducibility or were not measured across studies, and inadequate reporting did not allow full evaluation of the multivariable models. The use of quality standards in the development of PRSM within supportive cancer care would improve model quality and performance, thereby allowing professionals to better target support for patients.