Implementing One-at-a-Time Therapy in community addiction and mental health centres: a retrospective exploration of the implementation process and initial outcomes

Abstract Background The Department of Health of the Government of New Brunswick and Regional Health Authorities elected to implement Stepped Care 2.0 (SC2.0) in 2021, and began with One-at-a-Time (OAAT) therapy in Community Addiction and Mental Health Centres (CAMHCs) to facilitate rapid access to addiction and mental healthcare. This study: 1) explicated the process of implementing OAAT therapy as it aligned to evidence-based implementation frameworks and strategies; 2) assessed readiness for change among providers during the implementation; and 3) evaluated initial client and system outcomes. Methods The process of implementing OAAT therapy within CAMHCs was documented and retrospectively aligned with the Active Implementation Frameworks-Stages of Implementation, Consolidated Framework for Implementation Research, and incorporated strategies endorsed by the Expert Recommendations for Implementing Change. Providers working in CAMHCs completed online asynchronous courses in OAAT therapy and SC2.0, and were recruited to participate in research on perceptions of organizational readiness. Initial outcomes of the implementation were evaluated through client satisfaction surveys administered in CAMHCs and system performance indicators. Results Aligning with implementation stages, key strategies included: 1) continuously monitoring readiness and soliciting stakeholder feedback for iterative improvement; 2) building a representative implementation team with engaged leaders; 3) creating a comprehensive implementation plan on staff training, communication, and system changes; and 4) supporting sustainability. Providers who participated in research (N = 170, ~ 50% response rate) agreed that their organization was ready for implementation, and that OAAT therapy delivered within a SC2.0 framework was acceptable, appropriate, and feasible. More than 3,600 OAAT therapy sessions were delivered during the initial implementation stage, and waitlists were reduced by 64.1%. The majority of clients who completed surveys (N = 1240, ~ 35% response rate) reported that their OAAT therapy session was helpful, with a minority reporting that additional intervention was needed. Conclusions Thoughtful planning and execution, aligned with evidence-based implementation frameworks and strategies, played an important role in this provincial change initiative. Implementation steps outlined can help inform others looking to enact large-scale change

Predictive modelling for swallowing dysfunction after primary (chemo)radiation: Results of a prospective observational study

BACKGROUND AND PURPOSE: The purpose of this large multicentre prospective cohort study was to identify which dose volume histogram parameters and pre-treatment factors are most important to predict physician-rated and patient-rated radiation-induced swallowing dysfunction (RISD) in order to develop predictive models for RISD after curative (chemo) radiotherapy ((CH) RT). MATERIAL AND METHODS: The study population consisted of 354 consecutive head and neck cancer patients treated with (CH) RT. The primary endpoint was grade 2 or more swallowing dysfunction according to the RTOG/EORTC late radiation morbidity scoring criteria at 6months after (CH) RT. The secondary endpoints were patient-rated swallowing complaints as assessed with the EORTC QLQ-H&N35 questionnaire. To select the most predictive variables a multivariate logistic regression analysis with bootstrapping was used. RESULTS: At 6months after (CH) RT the bootstrapping procedure revealed that a model based on the mean dose to the superior pharyngeal constrictor muscle (PCM) and mean dose to the supraglottic larynx was most predictive. For the secondary endpoints different predictive models were found: for problems with swallowing liquids the most predictive factors were the mean dose to the supraglottic larynx and radiation technique (3D-CRT versus IMRT). For problems with swallowing soft food the mean dose to the middle PCM, age (18-65 versus >65years), tumour site (naso/oropharynx versus other sites) and radiation technique (3D-CRT versus IMRT) were the most predictive factors. For problems with swallowing solid food the most predictive factors were the mean dose to the superior PCM, the mean dose to the supraglottic larynx and age (18-65 versus >65years). And for choking when swallowing the V60 of the oesophageal inlet muscle and the mean dose to the supraglottic larynx were the most predictive factors. CONCLUSIONS: Physician-rated and patient-rated RISD in head and neck cancer patients treated with (CH) RT cannot be predicted with univariate relationships between the dose distribution in a single organ at risk and an endpoint. Separate predictive models are needed for different endpoints and factors other than dose volume histogram parameters are important as well