Characterization of an andexanet alfa administration protocol guided by drug-specific quantitative anti-Xa assays.

Following FDA approval in 2018, consensus guidelines recommend andexanet alfa as first-line therapy for the management of life-threatening or uncontrollable bleeding in patients taking oral factor Xa (FXa) inhibitors. Dosing is based on the specific FXa inhibitor and dose, and the time elapsed since the patient's last administration of the medication. Additionally, at our institution, anti-FXa screens and drug-specific assays are obtained to guide subsequent dosing based on institution protocol. The objective of this study was to evaluate andexanet alfa utilization based on anti-Xa and FXa-inhibitor-specific assays and assess associated outcomes. This was a retrospective, single-center study aimed to describe the use of anti-FXa and specific direct oral anticoagulant assays to guide the utilization and administration of andexanet alfa. Secondary endpoints evaluated included thrombotic events during index hospitalization, hospital length of stay, hospital mortality, and discharge disposition. Overall, most patients were prescribed apixaban for atrial fibrillation and received andexanet alfa for reversal of intracranial hemorrhage in the emergency department. In general, DOAC-specific assays were concordant with last known times; however, there appears to be minimal correlation with DOAC-specific assay levels and survival. There were 9 thrombotic events (8.7%) in 8 patients. In this cohort, collection of an anti-FXa assay screen was a practical strategy to guide reversal with andexanet alfa; however, the addition of DOAC-specific assay levels may not enhance clinical utility.

Interdisciplinary Team Meetings in Practice: an Observational Study of IDTs, Sensemaking Around Care Transitions, and Readmission Rates.

BACKGROUND: Interdisciplinary teams (IDTs) have been implemented to improve collaboration in hospital care, but their impact on patient outcomes, including readmissions, has been mixed. These mixed results might be rooted in differences in organization of IDT meetings between hospitals, as well as variation in IDT characteristics and function. We hypothesize that relationships between IDT members are an important team characteristic, influencing IDT function in terms of how members make sense of what is happening with patients, a process called sensemaking OBJECTIVE: (1) To describe how IDT meetings are organized in practice, (2) assess differences in IDT member relationships and sensemaking during patient discussions, and (3) explore their potential association with risk-stratified readmission rates (RSRRs). DESIGN: Observational, explanatory convergent mixed-methods case-comparison study of IDT meetings in 10 Veterans Affairs hospitals. PARTICIPANTS: Clinicians participating in IDTs and facility leadership. APPROACH: Three-person teams observed and recorded IDT meetings during week-long visits. We used observational data to characterize relationships and sensemaking during IDT patient discussions. To assess sensemaking, we used 2 frameworks that reflected sensemaking around each patient's situation generally, and around care transitions specifically. We examined the association between IDT relationships and sensemaking, and RSRRs. KEY RESULTS: We observed variability in IDT organization, characteristics, and function across 10 hospitals. This variability was greater between hospitals than between teams at the same hospital. Relationship characteristics and both types of sensemaking were all significantly, positively correlated. General sensemaking regarding each patient was significantly negatively associated with RSRR (- 0.65, p = 0.044). CONCLUSIONS: IDTs vary not only in how they are organized, but also in team relationships and sensemaking. Though our design does not allow for inferences of causation, these differences may be associated with hospital readmission rates.

Stigma towards opioid use disorder in primary care remain a barrier to integrating software-based measurement based care.

BACKGROUND: Opioid use disorder (OUD) is a deadly illness that remains undertreated, despite effective pharmacological treatments. Barriers, such as stigma, treatment affordability, and a lack of training and prescribing within medical practices result in low access to treatment. Software-delivered measurement-based care (MBC) is one way to increase treatment access. MBC uses systematic patient symptom assessments to inform an algorithm to support clinicians at critical decision points. METHOD: Focus groups of faculty clinicians (N = 33) from 3 clinics were conducted to understand perceptions of OUD diagnosis and treatment and whether a computerized MBC model might assist with diagnosis and treatment. Themes from the transcribed focus groups were identified in two phases: (1) content analysis focused on uncovering general themes; and (2) systematic coding and interpretation of the data. RESULTS: Analysis revealed six major themes utilized to develop the coding terms: "distinguishing between chronic pain and OUD," "current practices with patients using prescribed or illicit opioids or other drugs," "attitudes and mindsets about providing screening or treatment for OUD in your practice," "perceived resources needed for treating OUD," "primary care physician role in patient care not specific to OUD," and "reactions to implementation of proposed clinical decision support tool." CONCLUSION: Results revealed that systemic and attitudinal barriers to screening, diagnosing, and treating OUD continue to persist. Providers tended to view the software-based MBC program favorably, indicating that it may be a solution to increasing accessibility to OUD treatment; however, further interventions to combat stigma would likely be needed prior to implementation of these programs. TRIAL REGISTRATION: ClinicalTrials.gov; NCT04059016; 16 August 2019; retrospectively registered; https://clinicaltrials.gov/ct2/show/NCT04059016 .

Evidence based processes to prevent readmissions: more is better, a ten-site observational study.

BACKGROUND: 30-day hospital readmissions are an indicator of quality of care; hospitals are financially penalized by Medicare for high rates. Numerous care transition processes reduce readmissions in clinical trials. The objective of this study was to examine the relationship between the number of evidence-based transitional care processes used and the risk standardized readmission rate (RSRR). METHODS: Design: Mixed method, multi-stepped observational study. Data collection occurred 2014-2018 with data analyses completed in 2021. SETTING: Ten VA hospitals, chosen for 5-year trend of improving or worsening RSRR prior to study start plus documented efforts to reduce readmissions. PARTICIPANTS: During five-day site visits, three observers conducted semi-structured interviews (n = 314) with staff responsible for care transition processes and observations of care transitions work (n = 105) in inpatient medicine, geriatrics, and primary care. EXPOSURE: Frequency of use of twenty recommended care transition processes, scored 0-3. Sites' individual process scores and cumulative total scores were tested for correlation with RSRR. OUTCOME: best fit predicted RSRR for quarter of site visit based on the 21 months surrounding the site visits. RESULTS: Total scores: Mean 38.3 (range 24-47). No site performed all 20 processes. Two processes (pre-discharge patient education, medication reconciliation prior to discharge) were performed at all facilities. Five processes were performed at most facilities but inconsistently and the other 13 processes were more varied across facilities. Total care transition process score was correlated with RSRR (R2 = 0..61, p < 0.007). CONCLUSIONS: Sites making use of more recommended care transition processes had lower RSRR. Given the variability in implementation and barriers noted by clinicians to consistently perform processes, further reduction of readmissions will likely require new strategies to facilitate implementation of these evidence-based processes, should include consideration of how to better incorporate activities into workflow, and may benefit from more consistent use of some of the more underutilized processes including patient inclusion in discharge planning and increased utilization of community supports. Although all facilities had inpatient social workers and/or dedicated case managers working on transitions, many had none or limited true bridging personnel (following the patient from inpatient to home and even providing home visits). More investment in these roles may also be needed.

Measuring coordination of epilepsy care: A mixed methods evaluation of social network analysis versus relational coordination.

OBJECTIVES: Coordination of multidisciplinary care is critical to address the complex needs of people with neurological disorders; however, quality improvement and research tools to measure coordination of neurological care are not well-developed. This study explored and compared the value of social network analysis (SNA) and relational coordination (RC) in measuring coordination of care in a neurology setting. The Department of Veterans Affairs Healthcare System (VA) established an Epilepsy Centers of Excellence (ECOE) hub and spoke model of care, which provides a setting to measure coordination of care across networks of providers. METHODS: In a parallel mixed methods approach, we compared coordination of care of VA providers who formally engage the ECOE system to VA providers outside the ECOE system using SNA and RC. Coordination of care scores were compiled from provider teams across 66 VA facilities, and key informant interviews of 80 epilepsy care team members were conducted concurrently to describe the quality of epilepsy care coordinating in the VA healthcare system. RESULTS: On average, members of healthcare teams affiliated with the ECOE program rated quality of communication and respect higher than non-ECOE physicians. Connectivity between neurologist and primary care providers as well as between neurologists and mental health providers were higher within ECOE hub facilities compared to spoke referring facilities. Key informant interviews reported the important role of formal and informal programming, social support and social capital, and social influence on epilepsy care networks. CONCLUSION: For quality improvement and research purposes, SNA and RC can be used to measure coordination of neurological care; RC provides a detailed assessment of the quality of communication within and across healthcare teams but is difficult to administer and analyze; SNA provides large scale coordination of care maps and metrics to compare across large healthcare systems. The two measures provide complimentary coordination of care data at a local as well as population level. Interviews describe the mechanisms of developing and sustaining health professional networks that are not captured in either SNA or RC measures.

Service and Education: The Association Between Workload, Patient Complexity, and Teaching on Internal Medicine Inpatient Services.

BACKGROUND: Attending rounds remain the primary venue for formal teaching and learning at academic medical centers. Little is known about the effect of increasing clinical demands on teaching during attending rounds. OBJECTIVE: To explore the relationships among teaching time, teaching topics, clinical workload, and patient complexity variables. DESIGN: Observational study of medicine teaching teams from September 2008 through August 2014. Teams at two large teaching hospitals associated with a single medical school were observed for periods of 2 to 4 weeks. PARTICIPANTS: Twelve medicine teaching teams consisting of one attending, one second- or third-year resident, two to three interns, and two to three medical students. MAIN MEASURES: The study examined relationships between patient complexity (comorbidities, complications) and clinical workload variables (census, turnover) with educational measures. Teams were clustered based on clinical workload and patient complexity. Educational measures of interest were time spent teaching and number of teaching topics. Data were analyzed both at the daily observation level and across a given patient's admission. KEY RESULTS: We observed 12 teams, 1994 discussions (approximately 373 h of rounds) of 563 patients over 244 observation days. Teams clustered into three groups: low patient complexity/high clinical workload, average patient complexity/low clinical workload, and high patient complexity/high clinical workload. Modest associations for team, patient complexity, and clinical workload variables were noted with total time spent teaching (9.1% of the variance in time spent teaching during a patient's admission; F[8,549] = 6.90, p < 0.001) and number of teaching topics (16% of the variance in the total number of teaching topics during a patient's admission; F[8,548] = 14.18, p < 0.001). CONCLUSIONS: Clinical workload and patient complexity characteristics among teams were only modestly associated with total teaching time and teaching topics.

Periodic reflections: a method of guided discussions for documenting implementation phenomena.

BACKGROUND: Ethnography has been proposed as a valuable method for understanding how implementation occurs within dynamic healthcare contexts, yet this method can be time-intensive and challenging to operationalize in pragmatic implementation. The current study describes an ethnographically-informed method of guided discussions developed for use by a multi-project national implementation program. METHODS: The EMPOWER QUERI is conducting three projects to implement innovative care models in VA women's health for high-priority health concerns - prediabetes, cardiovascular risk, and mental health - utilizing the Replicating Effective Programs (REP) implementation strategy enhanced with stakeholder engagement and complexity science. Drawing on tenets of ethnographic research, we developed a lightly-structured method of guided "periodic reflections" to aid in documenting implementation phenomena over time. Reflections are completed as 30-60 min telephone discussions with implementation team members at monthly or bi-monthly intervals, led by a member of the implementation core. Discussion notes are coded to reflect key domains of interest and emergent themes, and can be analyzed singly or in triangulation with other qualitative and quantitative assessments to inform evaluation and implementation activities. RESULTS: Thirty structured reflections were completed across the three projects during a 15-month period spanning pre-implementation, implementation, and sustainment activities. Reflections provide detailed, near-real-time information on projects' dynamic implementation context, including characteristics of implementation settings and changes in the local or national environment, adaptations to the intervention and implementation plan, and implementation team sensemaking and learning. Reflections also provide an opportunity for implementation teams to engage in recurring reflection and problem-solving. CONCLUSIONS: To implement new, complex interventions into dynamic organizations, we must better understand the implementation process as it unfolds in real time. Ethnography is well suited to this task, but few approaches exist to aid in integrating ethnographic insights into implementation research. Periodic reflections show potential as a straightforward and low-burden method for documenting events across the life cycle of an implementation effort. They offer an effective means for capturing information on context, unfolding process and sensemaking, unexpected events, and diverse viewpoints, illustrating their value for use as part of an ethnographically-minded implementation approach. TRIAL REGISTRATION: The two implementation research studies described in this article have been registered as required: Facilitating Cardiovascular Risk Screening and Risk Reduction in Women Veterans (NCT02991534); and Implementation of Tailored Collaborative Care for Women Veterans (NCT02950961).

Psychiatric consultation requests by inpatient medical teams: an observational study.

BACKGROUND: We describe the way psychiatric issues are addressed by inpatient medical teams through analysis of discussions of patients with behavioral health concerns and examination of teams' subsequent consultation practices. METHODS: We observed morning rounds for nine inpatient medical teams for approximately month-long periods, for a total of 1941 observations. We compared discussions of patients admitted for behavioral health related medical conditions between those who did and did not receive a psychiatric consultation, developing categories to describe factors influencing consultation or other management. RESULTS: Out of 536 patients, 40 (7.5%) received a psychiatry consult. Evaluation of a known concern (i.e., substance use, affective disorder, or suicidal ideation) was the most common reason for referral (41.7%). Requests for medication review were second (30.6%). Thirty patients with concomitant behavioral and medical health issues did not receive a psychiatry consult. Cirrhosis with active substance use was the most common medical diagnosis (15), followed by alcohol withdrawal (9). CONCLUSIONS: Four primary themes emerged from our data: positive identification of behavioral health issues by physicians, medication management as a primary reason for referral, patient preference in physician decision-making, and poor management of substance abuse. Our results identify two potential areas where skills-building for inpatient physicians could have a positive impact: management of medication and of substance abuse management.

Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review.

BACKGROUND: Successfully transitioning patients from hospital to home is a complex, often uncertain task. Despite significant efforts to improve the effectiveness of care transitions, they remain a challenge across health care systems. The lens of complex adaptive systems (CAS) provides a theoretical approach for studying care transition interventions, with potential implications for intervention effectiveness. The aim of this study is to examine whether care transition interventions that are congruent with the complexity of the processes and conditions they are trying to improve will have better outcomes. METHODS: We identified a convenience sample of high-quality care transition intervention studies included in a care transition synthesis report by Kansagara and colleagues. After excluding studies that did not meet our criteria, we scored each study based on (1) the presence or absence of 5 CAS characteristics (learning, interconnections, self-organization, co-evolution, and emergence), as well as system-level interdependencies (resources and processes) in the intervention design, and (2) scored study readmission-related outcomes for effectiveness. RESULTS: Forty-four of the 154 reviewed articles met our inclusion criteria; these studies reported on 46 interventions. Nearly all the interventions involved a change in interconnections between people compared with care as usual (96% of interventions), and added resources (98%) and processes (98%). Most contained elements impacting learning (67%) and self-organization (69%). No intervention reflected either co-evolution or emergence. Almost 40% of interventions were rated as effective in terms of impact on hospital readmissions. Chi square testing for an association between outcomes and CAS characteristics was not significant for learning or self-organization, however interventions rated as effective were significantly more likely to have both of these characteristics (78%) than interventions rated as having no effect (32%, p = 0.005). CONCLUSIONS: Interventions with components that influenced learning and self-organization were associated with a significant improvement in hospital readmissions-related outcomes. Learning alone might be necessary but not be sufficient for improving transitions. However, building self-organization into the intervention might help people effectively respond to problems and adapt in uncertain situations to reduce the likelihood of readmission.

Embracing uncertainty, managing complexity: applying complexity thinking principles to transformation efforts in healthcare systems.

BACKGROUND: Complexity thinking is increasingly being embraced in healthcare, which is often described as a complex adaptive system (CAS). Applying CAS to healthcare as an explanatory model for understanding the nature of the system, and to stimulate changes and transformations within the system, is valuable. MAIN TEXT: A seminar series on systems and complexity thinking hosted at the University of Toronto in 2016 offered a number of insights on applications of CAS perspectives to healthcare that we explore here. We synthesized topics from this series into a set of six insights on how complexity thinking fosters a deeper understanding of accepted ideas in healthcare, applications of CAS to actors within the system, and paradoxes in applications of complexity thinking that may require further debate: 1) a complexity lens helps us better understand the nebulous term "context"; 2) concepts of CAS may be applied differently when actors are cognizant of the system in which they operate; 3) actor responses to uncertainty within a CAS is a mechanism for emergent and intentional adaptation; 4) acknowledging complexity supports patient-centred intersectional approaches to patient care; 5) complexity perspectives can support ways that leaders manage change (and transformation) in healthcare; and 6) complexity demands different ways of implementing ideas and assessing the system. To enhance our exploration of key insights, we augmented the knowledge gleaned from the series with key articles on complexity in the literature. CONCLUSIONS: Ultimately, complexity thinking acknowledges the "messiness" that we seek to control in healthcare and encourages us to embrace it. This means seeing challenges as opportunities for adaptation, stimulating innovative solutions to ensure positive adaptation, leveraging the social system to enable ideas to emerge and spread across the system, and even more important, acknowledging that these adaptive actions are part of system behaviour just as much as periods of stability are. By embracing uncertainty and adapting innovatively, complexity thinking enables system actors to engage meaningfully and comfortably in healthcare system transformation.

Examining the Complexity of Patient-Outpatient Care Team Secure Message Communication: Qualitative Analysis.

BACKGROUND: The value of secure messaging in streamlining routine patient care activities is generally agreed upon. However, the differences in how patients use secure messaging, including for communicating both routine and nonroutine issues, and the implications of these differences in use are less well understood. OBJECTIVE: The purpose of this study was to examine secure messaging use to extend current knowledge of how this tool is being used in outpatient care settings and generate new research questions to improve our understanding of the role of secure messaging in the patient-provider communication toolbox. METHODS: We conducted an in-depth qualitative analysis of secure message threads in 12 US Department of Veterans Affairs outpatient clinics in south Texas. We analyzed 70 secure message threads with a total of 179 unique communications between patients and their outpatient teams for patterns in communication and secure message content. We used theories from information systems and complexity science in organizations to explain our observations. RESULTS: Analysis identified content relating to 3 main themes: (1) information management, (2) uncertainty management, and (3) patient safety and engagement risks and opportunities. Within these themes, we identified 2 subcategories of information management (information exchange and problem solving), 2 subcategories of uncertainty management (relationship building and sensemaking), and 3 subcategories of patient safety and engagement risks and opportunities (unresolved issues, tone mismatch, and urgent medical issues). Secure messages were most often used to communicate routine issues (eg, information exchange and problem solving). However, the presence of subcategories pertaining to nonroutine issues (eg, relationship building, sensemaking, tone mismatch, urgent issues, and unresolved issues) requires attention, particularly for improving opportunities in outpatient care settings using secure messaging. CONCLUSIONS: Patients use secure messaging for both routine and nonroutine purposes. Our analysis sheds light on potentially new patient safety concerns, particularly when using secure messaging to address some of the more complex issues patients are communicating with providers. Secure messaging is an asynchronous communication information system operated by patients and providers who are often characterized as having significant differences in knowledge, experience and expectations. As such, justification for its use beyond routine purposes is limited-yet this occurs, presenting a multifaceted dilemma for health care organizations. Secure messaging use in outpatient care settings may be more nuanced, and thus more challenging to understand and manage than previously recognized. New information system designs that acknowledge the use of secure messaging for nonroutine and complex health topics are needed.

Assessing key cost drivers associated with caring for chronic kidney disease patients.

BACKGROUND: To examine key factors influencing chronic kidney disease (CKD) patients' total expenditure and offer recommendations on how to reduce total cost of CKD care without compromising quality. METHODS: Using the 2002-2011 Medical Expenditure Panel Survey (MEPS) data, our cross-sectional study analyzed 197 patient records-79 patients with one record and 59 with two entries per patient (138 unique patients). We used three patient groups, based on international statistical classification of diseases version 9 code for condition (ICD9CODX) classification, to focus inference from the analysis: (a) non-dialysis dependent CKD, (b) dialysis and (c) transplant. Covariate information included region, demographic, co-morbid conditions and types of services. We used descriptive methods and multivariate generalized linear models to understand the impact of cost drivers. We compared actual and predicted CKD cost of care data using a hold-out sample of nine, randomly selected patients to validate the models. RESULTS: Total costs were significantly affected by treatment type, with dialysis being significantly higher than non-dialysis and transplant groups. Costs were highest in the West region of the U.S. Average costs for patients with public insurance were significantly higher than patients with private insurance (p < .0743), and likewise, for patients with co-morbid conditions over those without co-morbid conditions (p < .001). CONCLUSIONS: Managing CKD patients both before and after the onset of dialysis treatment and managing co-morbid conditions in individuals with CKD are potential sources of substantial cost savings in the care of CKD patients. Comparing total costs pre and post the United States Affordable Care Act could provide invaluable insights into managing the cost-quality tradeoff in CKD care.

The Association Between Sensemaking During Physician Team Rounds and Hospitalized Patients' Outcomes.

BACKGROUND: Sensemaking is the social act of assigning meaning to ambiguous events. It is recognized as a means to achieve high reliability. We sought to assess sensemaking in daily patient care through examining how inpatient teams round and discuss patients. OBJECTIVE: Our purpose was to assess the association between inpatient physician team sensemaking and hospitalized patients' outcomes, including length of stay (LOS), unnecessary length of stay (ULOS), and complication rates. DESIGN: Eleven inpatient medicine teams' daily rounds were observed for 2 to 4 weeks. Rounds were audiotaped, and field notes taken. Four patient discussions per team were assessed using a standardized Situation, Task, Intent, Concern, Calibrate (STICC) framework. PARTICIPANTS: Inpatient physician teams at the teaching hospitals affiliated with the University of Texas Health Science Center at San Antonio participated in the study. Outcomes of patients admitted to the teams were included. MAIN MEASURES: Sensemaking was assessed based on the order in which patients were seen, purposeful rounding, patient-driven rounding, and individual patient discussions. We assigned teams a score based on the number of STICC elements used in the four patient discussions sampled. The association between sensemaking and outcomes was assessed using Kruskal-Wallis sum rank and Dunn's tests. KEY RESULTS: Teams rounded in several different ways. Five teams rounded purposefully, and four based rounds on patient-driven needs. Purposeful and patient-driven rounds were significantly associated with lower complication rates. Varying the order in which patients were seen and purposefully rounding were significantly associated with lower LOS, and purposeful and patient-driven rounds associated with lower ULOS. Use of a greater number of STICC elements was associated with significantly lower LOS (4.6 vs. 5.7, p = 0.01), ULOS (0.3 vs. 0.6, p = 0.02), and complications (0.2 vs. 0.5, p = 0.0001). CONCLUSIONS: Improving sensemaking may be a strategy for improving patient outcomes, fostering a shared understanding of a patient's clinical trajectory, and enabling high reliability.

Health care huddles: managing complexity to achieve high reliability.

BACKGROUND: Health care huddles are increasingly employed in a range of formats but theoretical mechanisms underlying huddles remain relatively uncharted. PURPOSE: A complexity science view implies that essential managerial strategies for high-performing health care organizations include meaningful conversations, enhanced relationships, and a learning culture. These three dimensions informed our approach to studying huddles. We explore new theories for how and why huddles have been useful in health care organizations. METHODS: We used a study design incorporating literature review, direct observation, and semistructured interviews. A complexity science framework guided data collection in three health care settings; we also incorporated theories on high-reliability organizations to analyze our observations and interpret huddle participants' perspectives. FINDINGS: We identify theoretical paths that could link huddles to improvement in patient safety outcomes. Huddles create time and space for conversations, enhance relationships, and strengthen a culture of safety. Huddles can be of particular value to health care organizations seeking or sustaining high reliability. PRACTICE IMPLICATIONS: Achieving high reliability, the organizational capacity to deliver what is intended to be delivered every time is difficult in complex systems. Managers have potential to create conditions from which huddle outcomes that support high reliability are more likely to emerge. Huddles support efforts to improve patient safety when they afford opportunities for heedful interactions to take place among individuals caring for patients and embed mindfulness into the organization.

Providers' perspectives on treating psychogenic nonepileptic seizures: frustration and hope.

Recent diagnostic and treatment advances in psychogenic nonepileptic seizures (PNES) have the potential to improve care for patients, but little is known about the current state of PNES care delivery in the Veterans Health Administration (VA). We conducted semistructured interviews with 74 health-care clinicians and workers in the VA, eliciting provider perceptions of PNES care. Data were analyzed according to principles of Grounded Theory. The results revealed variation in care and two emergent domain themes of frustration and hope. Frustration was manifest in subthemes including Complexity, Patient Acceptance, Uncertainty About Treatment, Need for Evidence-based Treatment, and Failure of Cross-Disciplinary Collaboration between neurologists and mental health providers. Hope encompassed subthemes of Positive Attitudes, Developing Cross-Disciplinary Treatment, and Specific PNES Care. Increased resources for diagnosing, treating, and researching PNES have improved awareness of the disorder. More research is needed to understand patients' and caregivers' perceptions of PNES care.

Alignment of patient and primary care practice member perspectives of chronic illness care: a cross-sectional analysis.

BACKGROUND: Little is known as to whether primary care teams' perceptions of how well they have implemented the Chronic Care Model (CCM) corresponds with their patients' own experience of chronic illness care. We examined the extent to which practice members' perceptions of how well they organized to deliver care consistent with the CCM were associated with their patients' perceptions of the chronic illness care they have received. METHODS: Analysis of baseline measures from a cluster randomized controlled trial testing a practice facilitation intervention to implement the CCM in small, community-based primary care practices. All practice "members" (i.e., physician providers, non-physician providers, and staff) completed the Assessment of Chronic Illness Care (ACIC) survey and adult patients with 1 or more chronic illnesses completed the Patient Assessment of Chronic Illness Care (PACIC) questionnaire. RESULTS: Two sets of hierarchical linear regression models accounting for nesting of practice members (N = 283) and patients (N = 1,769) within 39 practices assessed the association between practice member perspectives of CCM implementation (ACIC scores) and patients' perspectives of CCM (PACIC). ACIC summary score was not significantly associated with PACIC summary score or most of PACIC subscale scores, but four of the ACIC subscales [Self-management Support (p < 0.05); Community Linkages (p < 0.02), Delivery System Design (p < 0.02), and Organizational Support (p < 0.02)] were consistently associated with PACIC summary score and the majority of PACIC subscale scores after controlling for patient characteristics. The magnitude of the coefficients, however, indicates that the level of association is weak. CONCLUSIONS: The ACIC and PACIC scales appear to provide complementary and relatively unique assessments of how well clinical services are aligned with the CCM. Our findings underscore the importance of assessing both patient and practice member perspectives when evaluating quality of chronic illness care. TRIAL REGISTRATION: NCT00482768.

Leveraging Project ECHO to Implement a Suite of Substance Use Learning Communities for Statewide Impact.

BACKGROUND: Overdoses and alcohol consumption rose during the pandemic. However, uptake of practices which reduce mortality (eg, medications for opioid use disorder, harm reduction practices) remains insufficient. Provider training and telementoring is needed to ensure sufficient capacity for treating substance use disorders (SUDs) with evidence-based practices. The Project ECHO (Extension for Community Healthcare Outcomes) model involves the use of web technologies to deliver didactic and case-based learning through a panel of experts to build such competency in a community of learners. Project ECHO was leveraged to implement a statewide telementoring center of addictions-focused ECHO programs, including programming in prescribing, harm reduction, recovery support services, collaborations with first responders, and systems-level challenges. METHODS: Participants represented health and behavioral health disciplines practicing across the state of Texas in metropolitan and rural areas. Learners were administered: (1) an online registration form that inquired about basic demographics, (2) a post-session survey at the conclusion of each session capturing satisfaction and likelihood to implement, and (3) annual surveys measuring changes in knowledge and self-efficacy. Attendance and other learner data were stored and extracted from the partner relationship management database: iECHO. RESULTS: Training programs were attended by 968 learners, with an average of 48 learners per session. Geographic reach included 47 Texas cities. Post-training survey results indicated high rates of learner satisfaction, with an average rating of 4.68 on a 5-point Likert-like scale. Annual surveys indicated improvements in provider knowledge and self-confidence across all programs. CONCLUSIONS: Early results indicate robust uptake, wide geographic reach, high learner satisfaction, and provider knowledge and confidence gains. This preliminary evidence supports the use of the ECHO model as a potential tool for scaling comprehensive SUD telementoring centers to meet workforce development needs over large geographic areas.

Understanding Adaptive Leadership in the Context of Nursing Homes.

Rapidly growing populations of older adults rely heavily on formal long-term care services such as those provided in nursing homes. Nursing home staff are confronted with complex challenges. We explored how staff (N = 88), particularly care aides, interpreted challenges and responded to them by taking adaptive leadership roles, and engaging in technical and adaptive work in nursing homes. We conducted analysis of the ethnographic case studies. In long-term care settings, staff face complex challenges in improving resident care due to contextual barriers. These include demanding work conditions and inadequate resources. Additionally, top-down communications, despite being well-intentioned, often lead to misinterpretation and a lack of staff motivation. Nonetheless, we found that certain staff managed to overcome these contextual barriers and effectively execute change initiatives by assuming adaptive leadership roles. Formal leaders have a vital role in empowering staff, including care aides, and facilitating their adaptive leadership behaviors.

The Support Hospital Opioid Use Disorder Treatment (SHOUT) Texas program implementation strategy for expanding treatment for hospitalized adults with opioid use disorder.

INTRODUCTION: In 2017, we launched the "B-Team" (buprenorphine team), the first hospitalist-led opioid use disorder (OUD) treatment program in Texas. Based on initial success, we obtained funding from Texas Health & Human Services to expand the model to other hospitals in Texas through the Support Hospital Opioid Use Disorder Treatment (SHOUT) Texas program. METHODS: This is a mixed methods study of the implementation of the SHOUT program, which is an OUD treatment intervention, in different hospitals in Texas. Our implementation approach combined training, tailoring, and technical assistance following the Replicating Effective Programs (REP) strategy with statewide telementoring delivered via Project ECHO. To evaluate the reach, adoption, and impact of SHOUT Texas, we assessed: 1) participating hospitals (adoption); 2) patients screened for OUD (impact); 3) patients started on medications for OUD (impact); 4) patients discharged with coordinated outpatient care (impact); 5) providers and staff trained via ECHO (reach); and 6) satisfaction with ECHO training (impact). Additionally, semi-structured interviews were conducted with key stakeholders at expansion sites to identify strengths and weaknesses of the implementation strategy and supports and barriers to successful implementation. Rapid qualitative analysis was completed by a team of analysts who transcribed and summarized interviews to identify key domains of interest and emergent themes. RESULTS: Between 2020 and 2023, the SHOUT Texas program expanded to three additional Texas hospital sites, resulting in 3065 hospitalized adult patients starting treatment for OUD. More than 2500 interprofessional clinicians (physicians, nurses, physician assistants, social workers) received SHOUT training regarding inpatient initiation of OUD treatment, with 241 attending at least one hour-long Project ECHO session. Eight key stakeholders at expansion sites were interviewed. Successful components of the SHOUT program included training resources, in-person launches, and collaboration with specialized addiction treatment subject matter experts. Challenges included identifying outpatient follow-up, pharmacy and medication constraints, and nursing education barriers. Interviews also identified lessons learned, advice to other hospitals, and next steps to build capacity. CONCLUSIONS: Implementation of the SHOUT Texas model across diverse hospital settings using REP and Project ECHO resulted in significant provider engagement and rapid increase in the number of patients initiating OUD treatment during hospitalization. Lessons learned from this novel approach may be applicable in other states, particularly those that have not expanded Medicaid.

The Association of Nursing Homes' Organizational Context With Care Aide Empowerment: A Cross-Sectional Study.

BACKGROUND AND OBJECTIVES: Organizational context is thought to influence whether care aides feel empowered, but we lack empirical evidence in the nursing home sector. Our objective was to examine the association of features of nursing homes' unit organizational context with care aides' psychological empowerment. RESEARCH DESIGN AND METHODS: This cross-sectional study analyzed survey data from 3765 care aides in 91 Western Canadian nursing homes. Random-intercept mixed-effects regressions were used to examine the associations between nursing home unit organizational context and care aides' psychological empowerment, controlling for care aide, care unit, and nursing home covariates. RESULTS: Organizational (IVs) culture, social capital, and care aides' perceptions of sufficient time to do their work were positively associated with all four components of psychological empowerment (DVs): competence (0.17 [0.13, 0.21] for culture, 0.18 [0.14, 0.21] for social capital, 0.03 [0.01, 0.05] for time), meaning (0.21 [0.18, 0.25] for culture, 0.19 [0.16, 0.23] for social capital, 0.03 [0.01, 0.05 for time), self-determination (0.38 [0.33, 0.44] for culture, 0.17 [0.12, 0.21] for social capital, 0.08 [0.05, 0.11] for time), and impact (0.26 [0.21, 0.31] for culture, 0.23 [0.19, 0.28] for social capital, 0.04 [0.01, 0.07] for time). DISCUSSION AND IMPLICATIONS: In this study, modifiable elements of organizational context (i.e., culture, social capital, and time) were positively associated with care aides' psychological empowerment. Future interventions might usefully target these modifiable elements of unit level context in the interest of assessing their effects on staff work attitudes and outcomes, including the quality of resident care.