Unmet needs in people with high-grade glioma: defining criteria for stepped care intervention.

BACKGROUND: We aimed to define levels of unmet supportive care needs in people with primary brain tumor and to reach expert consensus on feasibility of addressing patients' needs in clinical practice. METHODS: We conducted secondary analysis of a prospective cohort study of people diagnosed with high-grade glioma (n = 116) who completed the Supportive Care Needs Survey-Short Form during adjuvant chemoradiation therapy. Participants were allocated to 1 of 3 categories: no need ("no need" for help on all items), low need ("low need" for help on at least 1 item, but no "moderate" or "high" need), or moderate/high need (at least 1 "moderate" or "high" need indicated). Clinical capacity to respond to the proportion of patients needing to be prioritized was assessed. RESULTS: Overall, 13% (n = 5) were categorized as no need, 23% (n = 27) low need, and 64% (n = 74) moderate/high need. At least 1 moderate/high need was reported in the physical and daily living domain (42%) and the psychological (34%) domain. In recognition of health system capacity, the moderate/high need category was modified to distinguish between moderate need ("moderate" need indicated for at least 1 item but "high" need was not selected for any item) and high need (at least 1 "high" need indicated). Results revealed 24% (n = 28) moderate need and 40% (n = 46) high need. Those categorized as high need indicated needing assistance navigating the health system and information. CONCLUSIONS: Using four step allocations resulted in 40% of patients indicating high need. Categories may facilitate appropriate triaging and guide stepped models of healthcare delivery.

Staff- and service-level factors associated with organisational readiness to implement a clinical pathway for the identification, assessment, and management of anxiety and depression in adults with cancer.

BACKGROUND: Organisational readiness is recognised as a key factor impacting the successful translation of research findings into practice. Within psycho-oncology, measuring organisational readiness and understanding factors impacting organisational readiness is crucial as it is often challenging to implement evidence-based findings into routine cancer care. In this quantitative study, we examined the level of organisational readiness of cancer services preparing to implement a clinical pathway for the screening, assessment, and management of anxiety and depression in adult cancer patients (the ADAPT CP) within a cluster randomised controlled trial and sought to identify staff- and service-level factors associated with organisational readiness. METHODS: Multidisciplinary staff across 12 Australian cancer services were identified. Their perceptions of their services' readiness to implement the ADAPT CP in the cancer stream or treatment modality selected within their service was assessed prior to implementation using the Organizational Readiness for Implementing Change scale. Data collection included staff demographic and professional characteristics, and their perception of the ADAPT CP using a set of 13 study-specific survey items. Service characteristics were captured using a site profile audit form and workflows during site engagement. RESULTS: Fourteen staff- and service-level factors were identified as potentially impacting organisational readiness. To identify factors that best explained organisational readiness, separate univariate analyses were conducted for each factor, followed by a backward elimination regression. Compared to services that implemented the ADAPT CP in one treatment modality, those opting for four treatment modalities had significantly higher organisational readiness scores. Staff in administrative/technical support/non-clinical roles had significantly higher organisational readiness scores compared to psychosocial staff. Higher organisational readiness scores were also significantly related to more positive perceptions of the ADAPT CP. CONCLUSIONS: Readiness to implement an anxiety and depression clinical pathway within 12 oncology services was high. This may be attributed to the extensive engagement with services prior to implementation. The factors associated with organisational readiness highlight the importance of ensuring adequate resourcing and supporting staff to implement change, effectively communicating the value of the change, and taking a whole-of-service approach to implementing the change. Future longitudinal studies may identify factors associated with ongoing readiness and engagement prior to implementation. TRIAL REGISTRATION: The ADAPT RCT was registered prospectively with the ANZCTR on 22/03/2017. Trial ID ACTRN12617000411347. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372486&isReview=true .

Effect of core versus enhanced implementation strategies on adherence to a clinical pathway for managing anxiety and depression in cancer patients in routine care: a cluster randomised controlled trial.

BACKGROUND: Optimal strategies to facilitate implementation of evidence-based clinical pathways are unclear. We evaluated two implementation strategies (Core versus Enhanced) to facilitate implementation of a clinical pathway for the management of anxiety and depression in cancer patients (the ADAPT CP). METHODS: Twelve cancer services in NSW Australia were cluster randomised, stratified by service size, to the Core versus Enhanced implementation strategy. Each strategy was in place for 12 months, facilitating uptake of the ADAPT CP (the intervention being implemented). The Core strategy included a lead team with champions, staff training and awareness campaigns prior to implementation, plus access to feedback reports and telephone or online support during implementation. The Enhanced strategy included all Core supports plus monthly lead team meetings, and proactive, ongoing advice on managing barriers, staff training and awareness campaigns throughout implementation. All patients at participating sites were offered the ADAPT CP as part of routine care, and if agreeable, completed screening measures. They were allocated a severity step for anxiety/depression from one (minimal) to five (severe) and recommended management appropriate to their severity step. Multi-level mixed-effect regression analyses examined the effect of Core versus Enhanced implementation strategy on adherence to the ADAPT CP (binary primary outcome: adherent ≥ 70% of key ADAPT CP components achieved versus non-adherent < 70%), with continuous adherence as a secondary outcome. Interaction between study arm and anxiety/depression severity step was also explored. RESULTS: Of 1280 registered patients, 696 (54%) completed at least one screening. As patients were encouraged to re-screen, there were in total 1323 screening events (883 in Core and 440 in Enhanced services). The main effect of implementation strategy on adherence was non-significant in both binary and continuous analyses. Anxiety/depression step was significant, with adherence being higher for step 1 than for other steps (p = 0.001, OR = 0.05, 95% CI 0.02-0.10). The interaction between study arm and anxiety/depression step was significant (p = 0.02) in the continuous adherence analysis only: adherence was significantly higher (by 7.6% points (95% CI 0.08-15.1%) for step 3 in the Enhanced arm (p = .048) and trending to significance for step 4. DISCUSSION: These results support ongoing implementation effort for the first year of implementation to ensure successful uptake of new clinical pathways in over-burdened clinical services. TRIAL REGISTRATION: ANZCTR Registration: ACTRN12617000411347 (Trial registered 22/03/2017; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372486&isReview=true ).

An examination of the different ways that non-native phones may be perceptually assimilated as uncategorized.

This study examined three ways that perception of non-native phones may be uncategorized relative to native (L1) categories: focalized (predominantly similar to a single L1 category), clustered (similar to > 2 L1 categories), and dispersed (not similar to any L1 categories). In an online study, Egyptian Arabic speakers residing in Egypt categorized and rated all Australian English vowels. Evidence was found to support focalized, clustered, and dispersed uncategorized assimilations. Second-language (L2) category formation for uncategorized assimilations is predicted to depend upon the degree of perceptual overlap between the sets of L1 categories listeners use in assimilating each phone within an L2 contrast.