Introduction
Distress related to wearing an immobilisation mask for radiotherapy treatment (RT) is a common experience for the person undergoing RT for head and neck cancer (HNC). Described as ‘mask anxiety’, there is little known about the patterns of this distress through the course of the treatment or what strategies are being used by people to help alleviate mask anxiety.
Methods
The study used a prospective cohort design to examine the patterns of patient–reported mask anxiety during the course of RT, using a modified Distress Thermometer (DT) and a survey to explore strategies patients used to assist their mask anxiety.
Results
Thirty‐five participants, who identified as experiencing mask anxiety, were followed throughout RT treatment. At baseline, females were more likely to experience higher mask anxiety (P = 0.03). Across the course of treatment, mask anxiety significantly (P < 0.001) reduced within the total cohort. In 72% of participants, the level of initial distress was found to reduce over time. Only 22% experienced mask anxiety that remained constant. Few (6%) experienced an increase in mask anxiety across the course of RT. Participants reported relying on intervention from health professionals, self–taught strategies, music, visualisation and medication to manage their mask anxiety.
Conclusions
Due to its high prevalence and variable patterns over time, it is recommended that routine screening for mask anxiety be implemented as standard care throughout the course of RT for HNC. Multiple, diverse strategies are being used by patients and studies are needed to develop effective interventions for managing mask anxiety.
Background: This study aimed to examine the prevalence, location, and severity of chronic internal, external, and combined head and neck lymphedema (HNL) in patients with head and neck (HNC) who were treated with definitive chemoradiotherapy (CRT) or postoperative radiotherapy (PORT). Methods: Sixty-two participants between 1 and 3 years post-treatment were recruited. Internal HNL was rated with Patterson's Scale.
Background: To examine the relationship between chronic external and internal head and neck lymphedema (HNL) and swallowing function in patients following head and neck cancer (HNC) treatment. Methods: Seventy-nine participants, 1-3 years post treatment were assessed for external HNL using the MD Anderson Cancer Centre Lymphedema Rating Scale, and internal HNL using Patterson's Radiotherapy Edema Rating Scale. Swallowing was assessed via instrumental, clinical and patient-reported outcome measures. Results: HNL presented as internal only (68%), combined external/internal (29%), and external only (1%). Laryngeal penetration/aspiration was confirmed in 20%. Stepwise multivariable regression models, that accounted for primary site, revealed that a higher severity of external HNL and internal HNL was associated with more severe penetration/aspiration (P < .004 and P = .006, respectively), diet modification (P < .001 both), and poorer patient-reported outcomes (P = .037 and P = .014, respectively).
Introduction: Research has shown that electronic platforms can assist data capture of patient-reported outcome measures (PROMs) to guide clinical care. In comparison, routine collection of carer-reported outcome measures (CROMs) to support the patient-carer dyad during cancer treatment has had limited attention. The current study utilised a novel electronic CROM (eCROM) system, ScreenIT Carer, to monitor the prevalence and nature of distress in carers of patients undergoing (chemo)radiotherapy ((C)RT) for head/neck cancer (HNC), and explore factors associated with carer distress. Methods: Carers completed ScreenIT Carer weekly when attending patients' (C) RT treatment sessions from planning to 2 weeks post-treatment. ScreenIT Carer included the Distress Thermometer (DT) and Problem List, and a purposebuilt Mealtime-Specific DT and Problem list. Data were first examined descriptively, then associations between demographic/treatment-related factors and distress severity were analysed using mixed-effects general linear modelling. Results: 135 carers provided 434 ScreenIT Carer entries during the study period (mean entries = three/carer; yielding average adherence rate of 41% (range 11-100%)). A high prevalence of general (59%) and mealtime-specific distress (46%) was reported by carers. Nature of distress was multifactorial, with emotional problems and the patients' physical condition/symptoms common contributing factors. Based on multivariate analysis, tumour site, geographical location of residence and time during (C)RT when ScreenIT Carer was completed were significant predictors of carer distress severity. Conclusions: Carer distress is prevalent and multifactorial during (C)RT. This study highlights the feasibility of utilising eCROM platforms such as ScreenIT Carer, to monitor carer wellbeing and guide supportive care services as part of a holistic care pathway.
Purpose
The aim of this study was to develop priority recommendations for the service level implementation of patient-reported outcomes (PROs) into clinical cancer care.
Methods
Development of draft guidance statements was informed by a literature review, the Knowledge to Action (KTA) implementation framework, and discussion with PRO experts and cancer survivors. A two-round modified Delphi survey with key stakeholders including cancer survivors, clinical and research experts, and Information Technology specialists was undertaken. Round 1 rated the importance of the statements and round 2 ranked statements in order of priority.
Results
Round 1 was completed by 70 participants with round 2 completed by 45 participants. Forty-seven statements were rated in round 2. In round 1, the highest agreement items (>90% agreement) included those that focused on the formation of strong stakeholder partnerships, ensuring ongoing communication within these partnerships, and the use of PROs for improvement and guidance in clinical care. Items ranked as the highest priorities in round 2 included assessment of current staff capabilities and service requirements, mapping of workflows and processes to enable collection, and using collected PROs to guide improved health outcomes.
Conclusions
This stakeholder consultation process has identified key priorities in PRO implementation into clinical cancer care that include clinical relevance, stakeholder engagement, communication, and integration within the existing processes and capabilities.
Implication for Cancer Survivors
Routine adoption of PRO collection by clinical cancer services requires multiple implementation steps; of highest priority is strong engagement and communication with key stakeholders including cancer survivors.
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