Stepped Care Research Articles

Reading Difficulties in Parkinson's Disease: A Stepped Care Model for Neurovisual Rehabilitation.

People with Parkinson's disease (PD) frequently experience reading difficulties. Little is known about what functional impairments distinguish people with PD with and without reading difficulties and how these should guide rehabilitation. To provide concrete advice for an efficient stepped care model for reading difficulties in PD, based on extensive functional assessments. This study included 74 people with PD in a neurovisual rehabilitation setting who underwent assessment of visual, visuoperceptual, and cognitive functions. Outcomes were compared between those with frequent (RD+; N = 55) and infrequent reading difficulties (RD-; N = 19). Aids and advice provided during rehabilitation were registered. Only a few functions appeared to distinguish RD+ and RD-. Visual functions (i.e., contrast sensitivity, g = 0.76; reading acuity, g = 0.66; visual acuity, g = 0.54) and visuoperceptual functions (i.e., visual attention, g = 0.58, visual motor speed, g = 0.56) showed significant worse scores in RD+ compared to RD-. Aids and advice applied consisted mainly of optimizing refraction, improving lighting, and optimizing text size and spacing. The test battery showed significant differences between RD+ and RD-on only a few tests on visual and visuoperceptual functions. The applied aids and advice matched well with these impairments. Therefore, we recommend a stepped care model, starting with a short test battery on these functions. If this battery indicates functional impairments, this can be followed by standard aids and advice to improve reading. Only in case of insufficient effect additional testing should take place.

The role of family accommodation in child posttraumatic stress symptoms and functional impairment in the context of cognitive behavioral therapy

BackgroundCaregiver behaviors such as family accommodation (FA) are negatively reinforced by reduced distress in the short term, but ultimately maintain symptoms. It is important to explore the role of FA on symptoms and impairment. The current study examined the relationship among FA, posttraumatic stress symptoms (PTSS), and functional impairment in a sample of children and their caregivers who completed trauma treatment. MethodParticipants included 183 children and their caregivers (M age = 7.89; 55.19 % female; 73.22 % non-Hispanic; 51.37 % White). Data consisted of parent-reported measures collected at baseline, post-treatment, and 12-month follow-up from a randomized control trial (RCT) comparing Stepped Care CBT for Children after Trauma and Trauma-Focused Cognitive Behavior Therapy (TF-CBT). Correlational, mediation, and hierarchical linear regression analyses were conducted to test the interrelationships among FA, child PTSS, and child functional impairment. ResultsFA was significantly, positively associated with total PTSS and functional impairment at baseline. Baseline FA partially mediated the relationship between baseline total PTSS and baseline functional impairment. Lastly, greater pre- to post-treatment changes in FA were mostly associated with relevant outcome variables at post-treatment and 12-month follow-up. LimitationsStudy limitations include use of a single informant, cross-sectional data analysis, lack of differentiation among trauma types, concerns regarding generalizability. ConclusionAssessing FA may be a helpful tool in better understanding how child PTSS relates to functional impairment following exposure to trauma. This study is clinically relevant it offers insight on the relationship among FA, PTSS, and functional impairment for families involved in trauma treatment.

Navigating a new model for therapy at a university counseling center: A case example.

University counseling centers have grappled with clinical supply and demand imbalance for decades. Chronic understaffing, increased scrutiny from the campus community, and concerns about overall student well-being have only exacerbated the challenges. Traditional models of service that rely on advanced scheduling with limited services aside from individual and group psychotherapy continue to flounder each academic semester. This agency revamped its service model by drawing from evidence-based service delivery models of stepped care, flexible care, and consultation and triage systems. This article provides a case example of this agency's urgency, preparation, implementation, and initial outcomes of its navigated care model. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Screening for common mental health disorders: a psychometric evaluation of a chatbot system

ABSTRACT The current study presents the psychometrics and screening accuracy properties of a chatbot system that understands free-text responses to mental health screening questions using natural language processing (NLP). The aiCARE system was tested against web-based versions of the Patient Health Questionnaire- 9 (PHQ-9), General Anxiety Disorder-7 (GAD-7), and Posttraumatic Stress Disorder Checklist (PCL-5). The study included 773 volunteers (Mage = 21.28, SD = 5.34) who answered the same free-text (chatbot version) and closed-ended survey questions (standard survey version). Overall, the research found that the proposed chatbot system is reliable in determining whether clinical symptomatology is present or absent based on free-text responses to PHQ-9, GAD-7, and PCL-5 questions. It had comparable sensitivity, specificity, total accuracy, and AUC values to standard web-based survey methods, as well as good internal consistency and convergent validity. The general implications are that chatbot systems could be used to identify common psychopathology as part of a stepped care model. It is not intended to be used in place of clinical diagnosis. Future research is needed to assess its effectiveness in more clinically and demographically diverse populations.

Supporting Mental Health in People Living With Aphasia: A Call to Action

Purpose: This clinical focus article will provide an overview of the psychosocial impact of aphasia, with particular attention to depression and anxiety and barriers for accessing mental health services. The importance of interdisciplinary collaboration between speech-language pathologists (SLPs) and mental health providers as well as importance of stepped psychological care, peer befriending, support groups, and communication partner training will be highlighted. Resources will be provided for clinicians to utilize in increasing their knowledge and skills in supporting psychosocial issues for people with aphasia and their families. Conclusions: People living with aphasia are at high risk of mental health problems. There is a gap in the need for services and access to services due to the inherent language challenges caused by aphasia. SLPs need to take a leadership role in bridging this gap by partnering with mental health providers to increase access to services. Using the framework of stepped psychological care, SLPs can support people living with aphasia and their families in successfully living with aphasia.

Estimating the effects of preventive and weight-management interventions on the prevalence of childhood obesity in England: a modelling study

The effects of the systematic delivery of treatments for obesity are unknown. We aimed to estimate the potential effects on the prevalence of childhood obesity of systematically offering preventive and treatment interventions to eligible children in England, based on weight or health status. For this modelling study, we developed a cross-sectional simulation model of the child and young adult population in England using data from multiple years of the Health Survey of England conducted between Jan 1, 2010, and Dec 31, 2019. Individuals were assessed for eligibility via age, BMI, and medical complications. Weight status was defined based on clinical criteria used by the UK National Institute of Health and Care Excellence. Published systematic reviews were used to estimate effect sizes for treatments, uptake, and completion for each weight-management tier. We used all available evidence, including evidence from studies that showed an unfavourable effect. We estimated the effects of two systematic approaches: a staged approach, in which children and young people were simultaneously given the most intensive treatment for which they were eligible, and a stepped approach, in which each management tier was applied sequentially, with additive effects. The primary outcomes were estimated prevalence of clinical obesity, defined as a BMI ≥98th centile on the UK90 growth chart, and difference in comparison with the estimated baseline prevalence. 18 080 children and young people were included in the analytical sample. Baseline prevalence of clinical obesity was estimated to be 11·2% (95% CI 10·5 to 11·8) for children and young people aged 2-18 years. In modelling, we estimated absolute decreases in the prevalence of obesity of 0·9% (95% CI 0·1 to 1·8) for universal, preventive interventions; 0·2% (0·1 to 0·4) for interventions within a primary-care setting; 1·0% (0·1 to 2·1) for community and lifestyle interventions; 0·2% (0·0 to 0·4) for pharmaceutical interventions; and 0·4% (0·1 to 0·7) for surgical interventions. Staged care was estimated to result in an absolute decrease in the prevalence of obesity of 1·3% (-0·3 to 2·4) and stepped care was estimated to lead to an absolute decrease of 2·4% (0·1 to 4·8). Although individual effect sizes for prevention and treatment interventions were small, when delivered at scale across England, these interventions have the potential to meaningfully contribute to reducing the prevalence of childhood obesity. UK National Institute for Health and Care Research.

Comparison between continued inpatient treatment versus day patient treatment after short inpatient care in early onset anorexia nervosa (COTIDEA trial): a study protocol for a non-inferiority randomised controlled trial

BackgroundIn children with early-onset anorexia nervosa (first symptoms before 13 years old, EO-AN), experts recommend initial outpatient treatment but in-patient treatment (IP) is frequently indicated due to acute medical instability or for those who have not improved with outpatient treatment. This IP can target either a partial weight restauration or a total weight normalization (return to the previous BMI growth trajectory). There are no evidence in the literature on which is the better therapeutic option in EOAN. But as long length of stay induce social isolation, with elevated costs, we wonder if a stepped-care model of daypatient treatment (DP) after short IP stabilisation may be a treatment option as effective as full-time IP to target weight normalization. We designed a two-arm randomised controlled trial testing the non-inferiority of a stepped-care model of DP after short IP stabilisation versus full-time IP.MethodsEighty-eight children aged 8 to 13 years suffering from EOAN with initial severe undernutrition will be randomly allocated to either IP treatment as usual or a stepped care DP model both targeting weight normalization. Assessments will be conducted at inclusion, somatic stabilization, weight normalization, 6 months and 12 months post randomisation. The primary outcome will be BMI at 12 months post-randomisation. Secondaries outcomes will included clinical (tanner stage), biological (prealbumin, leptin, total ghrelin and IGF1) and radiological (bone mineralization and maturation) outcomes, eating symptomatology and psychiatric assessments, motivation to change, treatment acceptability and quality of life assessments, cost-utility and cost-effectiveness analyses.DiscussionCOTIDEA will provide rigorous evaluation of treatment alternative to full-time inpatient treatment to allow a reduction of social iatrogenic link to hospital length of stay and associated costs.Trial registrationTrial is registered on ClinicalTrials.gov (NCT04479683).

Impact of an intervention to implement provision of opioid use disorder medication among patients with and without co-occurring substance use disorders

IntroductionCo-occurring substance use disorders (SUDs) are common among people with opioid use disorder (OUD) and known to hinder receipt of medications for OUD (MOUD). It is important to understand how MOUD care implemented outside of SUD specialty settings impacts access for patients with co-occurring SUDs. The Veterans Health Administration's (VA) Stepped Care for Opioid Use Disorder Train the Trainer (SCOUTT) initiative was implemented in primary care, mental health, and pain clinics in 18 VA facilities, and was found to increase MOUD receipt. This study assessed the SCOUTT initiative's impact among patients with and without co-occurring SUDs. MethodsThis study used a controlled interrupted time series design. We extracted electronic health record data for patients with OUD with visits in SCOUTT intervention or matched comparison clinics during the post-implementation year (9/1/2018–8/31/2019). We examined the monthly proportion of patients who received MOUD in SCOUTT intervention or comparison clinics (primary care, mental health, and pain clinics), or in a VA SUD specialty clinic (where patients may have been referred), during the pre- and post-implementation years. Segmented logistic regression models estimated pre-post changes in outcomes (immediate level change from the final month of the pre-implementation period to the first month of the post-implementation period, change in trend/slope) in intervention vs. comparison facilities, adjusting for patient characteristics and pre-implementation trends. We stratified analyses by the presence of co-occurring SUDs. ResultsAmong patients without co-occurring SUDs, the pre-post trend/slope change in MOUD received in SCOUTT intervention or comparison clinics was greater in intervention vs. comparison facilities (adjusted odds ratio [aOR]: 1.06, 95% confidence interval [CI]: 1.02–1.10), and the immediate increase in MOUD received in SUD clinics was greater in intervention vs. comparison facilities (aOR: 1.12, 95% CI: 1.02–1.22). These changes did not significantly differ in intervention vs. comparison facilities among patients with co-occurring SUDs. ConclusionsThe SCOUTT initiative may have increased MOUD receipt primarily among patients without co-occurring SUDs. Focusing on increasing MOUD receipt for patients with co-occurring SUDs may improve the overall effectiveness of MOUD implementation efforts.

Stepped collaborative care for pain and posttraumatic stress disorder after major trauma: a randomized controlled feasibility trial

Purpose To examine feasibility and acceptability of providing stepped collaborative care case management targeting posttraumatic stress disorder (PTSD) and pain symptoms after major traumatic injury. Materials and methods Participants were major trauma survivors in Victoria, Australia, at risk of persistent pain or PTSD with high baseline symptoms. Participants were block-randomized, stratified by compensation-status, to the usual care (n = 15) or intervention (n = 17) group (46% of eligible patients). The intervention was adapted from existing stepped collaborative care interventions with input from interdisciplinary experts and people with lived experience in trauma and disability. The proactive case management intervention targeted PTSD and pain management for 6-months using motivational interviewing, cognitive behavioral therapy strategies, and collaborative care. Qualitative interviews explored intervention acceptability. Results Intervention participants received a median of 7 h case manager contact and reported that they valued the supportive and non-judgmental listening, and timely access to effective strategies, resources, and treatments post-injury from the case manager. Participants reported few disadvantages from participation, and positive impacts on symptoms and recovery outcomes consistent with the reduction in PTSD and pain symptoms measured at 1-, 3- and 6-months. Conclusions Stepped collaborative care was low-cost, feasible, and acceptable to people at risk of PTSD or pain after major trauma. IMPLICATIONS FOR REHABILITATION After hospitalization for injury, people can experience difficulty accessing timely support to manage posttraumatic stress, pain and other concerns. Stepped case management-based interventions that provide individualized support and collaborative care have reduced posttraumatic stress symptom severity for patients admitted to American trauma centers. We showed that this model of care could be adapted to target pain and mental health in the trauma system in Victoria, Australia. The intervention was low cost, acceptable and highly valued by most participants who perceived that it helped them use strategies to better manage post-traumatic symptoms, and to access clinicians and treatments relevant to their needs.

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

BackgroundThe 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.MethodsThe 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.ResultsAligning 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.ConclusionsThoughtful 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.

Access to mental health services for the carers of persons suffering from dementia in Poland – proposal for a system solution

Caregivers of persons suffering from dementia constitute a group displaying a great need for mental health support, while at the same time being largely neglected in terms of receiving this support. In this context, the aim of this article is to propose the Stepped Care 2.0 (S.C. 2.0) model as a mental health care systemic solution for carers of persons with dementia.In this article, we focus on presenting the argumentation that proves the need and validity of introducing the proposed mental health care model for carers of persons with dementia. For this purpose, we draw on the results of our own pilot study, as well as a review of the subject literature.As the literature review indicates, caring for individuals with dementia is a source of multidimensional burden and deterioration in well-being. Results obtained in our own study indicate that there exists a burden of care among carers of persons with dementia in Poland and their well-being is significantly lower compared to non-carers. Moreover, the results suggest that the degree of negative consequences of being a caregiver varies depending of the degree of the patient’s disability. The flexibility of support and client-centric approach assumed in the S.C. 2.0 model can provide a good response to the diverse and changing needs of the carers of persons with dementia. It can also serve as a kind of hub encompassing and organising existing forms of support for carers. Moreover, the effectiveness of the selected types of support included in this model is confirmed by existing research findings.The need for mental health support for carers of individuals with dementia is undeniable. In the light of the arguments provided, the S.C. 2.0 model is a suitable solution for the systemic organisation of such support.

Disseminating cognitive behavioural therapy (CBT) for insomnia at scale: capitalising on the potential of digital CBT to deliver clinical guideline care.

Cognitive behavioural therapy (CBT) is the recommended first-line treatment for insomnia. However, guideline care is very seldom available and most patients receive no treatment, or less effective second-line pharmacotherapy or sleep hygiene, neither of which are evidence-based for chronic insomnia. The primary challenge for CBT has been supply. There are not enough therapists to meet the enormous demand. We must accelerate clinician training, but this approach can never be sufficient, even with abbreviated, efficient therapies. Fortunately, however, the treatment landscape has also changed dramatically. Fully-automated digital CBT (dCBT) has emerged as a safe, effective, and scalable treatment delivery format. dCBT is software only, so it can be disseminated as readily and widely as sleep medication. Moreover, dCBT can be integrated into services. Just as medications can be delivered through health professionals and health systems, approved dCBT programmes can be the same. However, an ecosystem of psychologically-based care should not necessitate a medical prescription model. Our proposed stepped care framework, comprises both population health and clinical health service initiatives, enabling universal access to guideline care for insomnia. The diverse ways in which CBT may be delivered (in-person, face-to-face, using telehealth, group therapy, digitally) can operate congruently and efficiently to optimise treatment for people at all levels of complexity and need. With safe and clinically effective dCBT products now set to become established as treatments, clearly differentiated from wellness apps, there is potential to rapidly transform insomnia services and, for the first time, to deliver clinical guideline care at international scale.

Cognitive behavioural therapy for insomnia disorder: Extending the stepped care model.

Despite cognitive behaviour therapy for insomnia (CBT-I) being the first-line intervention for the disorder, it is often not readily available to patients in need. The stepped care model (SCM) represents an approach to facilitating efficient and wide-ranging provision of evidence-based care to those with insomnia. The SCM reflects a pyramid of therapeutics based on CBT-I gradually increasing in clinical intensity and addressing clinical complexity. By applying CBT-I through the SCM it is hoped that the treatment gap can be bridged such that not only more patients can be reached, but that clinical resource can be more effectively distributed, with patients receiving more tailored care as needed. Nevertheless, this should not be done at the risk of a lower quality of care being offered, and high-standard training for clinicians and scrutiny of non-clinician led interventions remains important. As national health laws within European countries have substantial differences, the application of the SCM as it relates to the treatment of insomnia may be challenged by contrasting interpretations. In order that the SCM is appropriately implemented: (a) only evidence-based CBT-I treatments should be promoted within the model; (b) clinicians involved in SCM should be suitably qualified to offer CBT in general, and have appropriate further training in CBT-I; (c) professionals involved in interventions not included in the SCM, but related to it, such as preventive and educational programmes, diagnostic procedures, and pharmacological treatments, should also have good knowledge of the SCM in order to promote correct allocation to the appropriate interventional step.

Using machine learning to forecast symptom changes among subclinical depression patients receiving stepped care or usual care

BackgroundSubclinical depression (SD) is a mental health disorder characterized by minor depressive symptoms. Most SD patients are treated in the primary practice, but many respond poorly to treatment at the expense of provider resources. Stepped care approaches are appealing for tiering SD care to efficiently allocate scarce resources while jointly optimizing patient outcomes. However, stepped care can be time inefficient, as some persons may respond poorly and be forced to suffer with their symptoms for prolonged periods. Machine learning can offer insight into optimal treatment paths and inform clinical recommendations for incident patients. MethodsAs part of the Step-Dep trial, participants with SD were randomized to receive stepped care (N=96) or usual care (N=140). Machine learning was used to predict changes in depressive symptoms every three months over a year for each treatment group. ResultsTree-based models were effective in predicting PHQ-9 changes among patients who received stepped care (r=0.35–0.46, MAE=0.14–0.17) and usual care (r=0.34–0.49, MAE=0.15–0.18). Patients who received stepped care were more likely to reduce PHQ-9 scores if they had high PHQ-9 but low HADS-A scores at baseline, a low number of chronic illnesses, and an internal locus of control. LimitationsModels may suffer from potential overfitting due to sample size limitations. ConclusionOur findings demonstrate the promise of machine learning for predicting changes in depressive symptoms for SD patients receiving different treatments. Trained models can intake incident patient information and predict outcomes to inform personalized care.

Access and treatment: A national survey of mental health care of children and young people with long-term physical health conditions in England

Background: Co-occurring mental and long-term physical health conditions (LTCs) are common in children and young people (CYP). Aims: To conduct a national survey to understand access to mental health services and treatment for CYP with mental health needs and LTCs. Methods: In July 2020, Freedom of Information requests were sent to 66 trusts. Findings: Average waiting times were slightly shorter in CYP with LTCs and they had more sessions than those without LTCs. Many services offered stepped care. There was insufficient useable data to draw meaningful comparisons between CYP with and without LTCs, with many failing to provide data. Conclusions: Young people with mental health needs and LTCs appear to be falling between gaps in service provision and data collection. Parity of esteem between physical and mental health needs to include parity in how data is collected and recorded.

Analysis of the key themes in the healthcare of older people with multimorbidity in Germany: a framework analysis as part of the LoChro trial

ObjectivesMultimorbidity challenges healthcare systems. In Germany, coordination of healthcare for older multimorbid patients remains unstructured.This study aims to identify key themes in the healthcare of these patients and the inter-relationships...

Improving Pathways to Care for Patients at High Psychosis Risk in Switzerland: PsyYoung Study Protocol.

Psychotic disorders are one of the main causes of chronic disability in young people. An at-risk mental state (ARMS) is represented by subclinical symptoms that precede the first episode of psychosis (FEP). The PsyYoung project aims to optimize the detection of an ARMS while reducing unnecessary psychiatric treatments. It investigates the effects of service changes on the referrals and outcomes of young people with ARMS or a FEP. Six psychiatric outpatient clinics in three cantons (Basel-Stadt, Vaud, and Geneva) participated in the project. They passed through an implementation phase including service changes and the adaptation of a standardized stepped care model for diagnosis and assessment, in addition to measures for increasing the awareness, networking and training of local professionals. All participating cantons had entered the implementation phase. By March 2023, there were 619 referrals to participating sites. A total of 163 patients (37% FEP and 31% ARMS) and 15 close relatives had participated in individual longitudinal assessments, and 26 patients participated in qualitative interviews. This national collaborative project addresses the issue of early intervention for emerging psychoses, and creates spaces for fruitful reflections and collaboration in Switzerland. The ultimate aim of PsyYoung is to harmonize clinical practices in early intervention of psychosis on a national level.

Principles for delivering improved care of people with functional seizures: Closing the treatment gap.

Patients diagnosed with functional (psychogenic nonepileptic) seizures have similar or greater levels of disability, morbidity and mortality than people with epilepsy, but there are far fewer treatment services. In contrast to epilepsy, the current understanding of pathophysiological mechanisms and the development of evidence-based treatments for functional seizures is rudimentary. This leads to high direct healthcare costs and high indirect costs to the patient, family and wider society. There are many patient, clinician and system-level barriers to improving outcomes for functional seizures. At a patient level, these include the heterogeneity of symptoms, diagnostic uncertainty, family factors and difficulty in perceiving psychological aspects of illness and potential benefits of treatment. Clinician-level barriers include sub-specialism, poor knowledge, skills and attitudes and stigma. System-level barriers include the siloed nature of healthcare, the high prevalence of functional seizures and funding models relying on individual medical practitioners. Through the examination of international examples and expert recommendations, several themes emerge that may address some of these barriers. These include (1) stepped care with low-level, brief generalised interventions, proceeding to higher level, extended and individualised treatments; (2) active triage of complexity, acuity and treatment readiness; (3) integrated interdisciplinary teams that individualise formulation, triage, and treatment planning and (4) shared care with primary, emergency and community providers and secondary consultation. Consideration of the application of these principles to the Australian and New Zealand context is proposed as a significant opportunity to meet an urgent need.

Facilitators and barriers of routine psychosocial distress assessment within a stepped and collaborative care model in a Swiss hospital setting.

Stepped and Collaborative Care Models (SCCMs) have shown potential for improving mental health care. Most SCCMs have been used in primary care settings. At the core of such models are initial psychosocial distress assessments commonly in form of patient screening. We aimed to assess the feasibility of such assessments in a general hospital setting in Switzerland. We conducted and analyzed eighteen semi-structured interviews with nurses and physicians involved in a recent introduction of a SCCM model in a hospital setting, as part of the SomPsyNet project in Basel-Stadt. Following an implementation research approach, we used the Tailored Implementation for Chronic Diseases (TICD) framework for analysis. The TICD distinguishes seven domains: guideline factors, individual healthcare professional factors, patient factors, professional interactions, incentives and resources, capacity for organizational change, and social, political, and legal factors. Domains were split into themes and subthemes, which were used for line-by-line coding. Nurses and physicians reported factors belonging to all seven TICD domains. An appropriate integration of the psychosocial distress assessment into preexisting hospital processes and information technology systems was the most important facilitator. Subjectivity of the assessment, lack of awareness about the assessment, and time constraints, particularly among physicians, were factors undermining and limiting the implementation of the psychosocial distress assessment. Awareness raising through regular training of new employees, feedback on performance and patient benefits, and working with champions and opinion leaders can likely support a successful implementation of routine psychosocial distress assessments. Additionally, aligning psychosocial distress assessments with workflows is essential to assure the sustainability of the procedure in a working context with commonly limited time.

Implementation of a stepped care program to address posttraumatic stress disorder and depression in a Level II trauma center

BackgroundThe Trauma Resilience and Recovery Program (TRRP) is a technology enhanced model of care that includes education, screening, and service referrals to address posttraumatic stress disorder and depression following traumatic injury. TRRP has shown high rates of engagement at a Level I trauma center, but Level II centers have fewer resources and face more challenges to addressing patients’ mental health needs. MethodsWe utilized clinical administrative data to examine engagement in TRRP in a Level II trauma center with 816 adult trauma activation patients. ResultsMost patients (86%) enrolled in TRRP, but only 30% completed screens during a 30-day follow-up call. Three-quarters of patients who endorsed clinically significant symptoms accepted treatment recommendations/referrals. ConclusionsEngagement at each step of the model was lower than previously reported in a Level I center. Differences likely correspond to lower rates of mental health symptoms in the trauma patients at this setting. We discuss program adaptations that may be needed to improve patient engagement.