Reducing New Ileostomy Readmissions in a Rural Health Care Setting: A Quality Improvement Initiative.

BACKGROUND: Readmission after ileostomy creation continues to be a major cause of morbidity with rates ranging from 15% to 30% due to dehydration and obstruction. Rural environments pose an added risk of readmission due to larger travel distances and lack of consistent home health services. OBJECTIVE: This study aimed to reduce ileostomy-related readmission rates in a rural academic medical center. DESIGN: This is a rapid cycle quality improvement study. SETTING: This single-center study was conducted in a rural academic medical center. PATIENTS: Colorectal surgery patients receiving a new ileostomy were included in this study. INTERVENTIONS: Improvement initiatives were identified through Plan-Do-Study-Act cycles (enhanced team continuity, standardized rehydration, nursing/staff education). MAIN OUTCOME MEASURES: Thirty-day readmission, average length of stay, and average time to readmission served as main outcome measures. RESULTS: Roughly equal rates of ileostomy were created in each time point, consistent with a tertiary care colorectal practice. The preimplementation readmission rate was 29%. Over the course of the entire quality improvement initiative, re-admission rates decreased by more than 50% (29% to 14%). PDSA cycle 1, which involved integrating a service-specific physician assistant to the team, allowed for greater continuity of care and had the most dramatic effect, decreasing rates by 27.5% (29% to 21%). Standardization of oral rehydration therapy and the implementation of a patient-directed intake/output sheet during PDSA cycle 2 resulted in further improvement in readmission rates (21% to 15%). Finally, implementation of nurse and physician assistant (PA)-driven patient education on fiber supplementation resulted in an additional yet nominal decrease in readmissions (15% to 14%). Latency to readmission also significantly increased throughout the study period. LIMITATIONS: This study was limited by its small sample size in a single-center study. CONCLUSION: Implementation of initiatives targeting enhanced team continuity, the standardization of rehydration therapies, and improved patient education decreased readmission rates in patients with new ileostomies. Rural centers, where outpatient resources are not as readily available or accessible, stand to benefit the most from these types of targeted interventions to decrease readmission rates. See Video Abstract at http://links.lww.com/DCR/B771. REDUCCIN EN LAS READMISIONES POR ILEOSTOMAS NE MEDIOS DE ATENCIN MDICA RURAL INICIATIVA DE MEJORA EN LA CALIDAD: ANTECEDENTES:La readmisión después de la creación de una ileostomía sigue siendo una de las principales causas de morbilidad con tasas que oscilan entre el 15% y el 30% debido a la deshidratación y la oclusión. Un entorno rurale presenta un riesgo adicional de readmisión debido a las mayores distancias de viaje y la falta de servicios de salud domiciliarios adecuados.OBJETIVO:Reducir las tasas de reingreso por ileostomía en un centro médico académico rural.DISEÑO:Estudio de mejoría de la calidad de ciclo rápido.AJUSTE:Estudio unicéntrico en una unidad de servicio médico académico rural.PACIENTES:Pacientes de cirugía colorrectal a quienes se les confeccionó una ileostomía.INTERVENCIONES:Iniciativas de mejoría identificadas a través de los ciclos Planificar-Hacer-Estudiar-Actuar (Continuidad del equipo mejorada, rehidratación estandarizada, educación de enfermería / personal).PRINCIPALES MEDIDAS DE RESULTADO:30 días de readmisión, duración media de la estadía hospitalaria, tiempo medio de reingreso.RESULTADOS:Se crearon tasas aproximadamente iguales de ileostomías un momento dado de tiempo, subsecuentes en la práctica colorrectal de atención terciaria. La tasa de readmisión previa a la implementación del estudio fue del 29%. En el transcurso de toda la iniciativa de mejoría en la calidad, las tasas de readmisión disminuyeron en más del 50% (29% a 14%). El ciclo 1 de PDSA, que implicó la integración en el equipo de un asistente médico específico, lo que permitió una mayor continuidad en la atención y tuvo el mayor efecto disminuyendo las tasas en un 27,5% (29% a 21%). La estandarización de una terapia de rehidratación oral y la implementación de una hoja de ingresos / perdidas dirigida al paciente durante el ciclo 2 de PDSA resultó en una mejoría adicional en las tasas de readmisión (21% a 15%). Finalmente, la implementación de la educación del paciente impulsada por enfermeras y AF sobre el consumo suplementario de dietas con fibra dio como resultado una disminución adicional, aunque nominal, de las readmisiones (15% a 14%). La latencia hasta la readmisión también aumentó significativamente durante el período de estudio.LIMITACIONES:Estudio de un solo centro con un muestreo de pequeño tamaño.CONCLUSIONES:La implementación de iniciativas dirigidas a mejorar la continuidad en el equipo, la estandarización de las terapias de rehidratación y la mejoría en la información de los pacientes disminuyeron las tasas de readmisión en todos aquellas personas con nuevas ileostomías. Los centros rurales, donde los recursos para pacientes ambulatorios no están tan fácilmente disponibles o accesibles, son los que más beneficiaron de este tipo de intervenciones específicas para reducir las tasas de readmisión. Consulte Video Resumen en http://links.lww.com/DCR/B771. (Traducción-Dr. Xavier Delgadillo).

Quality of Care Program Reduces Unplanned Health Care Utilization in Patients With Inflammatory Bowel Disease.

INTRODUCTION: There is significant variation in processes and outcomes of care for patients with inflammatory bowel disease (IBD), suggesting opportunities to improve quality of care. We aimed to determine whether a structured quality of care program can improve IBD outcomes, including the need for unplanned health care utilization. METHODS: We used a structured approach to improve adult IBD care in 27 community-based gastroenterology practices and academic medical centers. Patient-reported outcomes (PRO) and health care utilization were collected at clinical visits. Outcomes were monitored monthly using statistical process control charts; improvement was defined by special cause (nonrandom) variation over time. Multivariable logistic regression was applied to patient-level data. Nineteen process changes were offered to improve unplanned health care utilization. Ten outcomes were assessed, including disease activity, remission status, urgent care need, recent emergency department use, hospitalizations, computed tomography scans, health confidence, corticosteroid or opioid use, and clinic phone calls. RESULTS: We collected data prospectively from 20,382 discrete IBD visits. During the 15-month project period, improvement was noted across multiple measures, including need for urgent care, hospitalization, steroid use, and opioid utilization. Adjusted multivariable modeling showed significant improvements over time across multiple outcomes including urgent care need, health confidence, emergency department utilization, hospitalization, corticosteroid use, and opioid use. Attendance at monthly coached webinars was associated with improvement. DISCUSSION: Outcomes of IBD care were improved using a structured quality improvement program that facilitates small process changes, sharing of best practices, and ongoing feedback. Spread of these interventions may facilitate broad improvement in IBD care when applied to a large population.

International, national and local trends in the spread of COVID-19: a geographic view of COVID-19 spread and the role to be played by coproduction.

BACKGROUND: COVID-19, a respiratory disease caused by the SARS-CoV-2 virus, emerged in 2019 and led to a worldwide pandemic in 2020. The COVID-19 pandemic has been a massive natural experiment in the formation of mitigation strategies to prevent cases and to provide effective healthcare for those afflicted. Regional differences in the impact of the pandemic on morbidity and mortality have been driven by political and regional differences in the coproduction of public health and social policy. We explored the United States (US) experience of COVID-19 for trends and correlations with other nations and also at the national, regional, state and local levels. OBJECTIVE: To identify geographic and temporal trends in the spread of COVID-19 in the United States. METHODS: Population data on COVID-19 cases and mortality were acquired on a daily basis from multiple publicly available databases, including the New York Times and Johns Hopkins University. At each geographic level (national, state and county), geographic entities' reported cases were evaluated for correlations using linear least-squares methods to identify patterns of correlation in the cases independent of scale. We evaluated for two specific characteristics: (i) the nature of the curvature of the line linking across percentile scores, ranging from concave to convex and (ii) the area under this curve, indicating how effectively a selected region (nation, state and county) is linked to its entire containing unit (world, country and state). We used this approach to identify three distinct COVID behavior phenotypes, each of which consisted of a number of states in the USA. RESULTS: We found that COVID activity in the USA follows a unique trend compared to other countries and that within the USA during the first year of the pandemic, three initial COVID phenotypes emerged: (i) the metropolitan outbreak (early outbreak phenotype); (ii) the regional outbreak (summer peak phenotype) and (iii) trans-regional outbreak (fall/winter peak phenotype), which, taken in sum, represent the overall USA national trend. Each phenotype has specific behavioral characteristics and is composed of a cluster of different states experiencing different conditions. CONCLUSION: Our findings suggest a new opportunity for public health strategy in the pandemic, namely to apply targeted public health approaches to address the specific needs of each phenotype. In the future, we should create databases that capture key health and hardship data elements at the smallest geographic level possible and use these to track trends, predict the future and apply targeted coproduction approaches to more effectively and efficiently safeguard population health, economic vitality and social well-being.

International, national and local trends in the spread of COVID-19: a geographic view of COVID-19 spread and the role to be played by coproduction.

BACKGROUND: COVID-19, a respiratory disease caused by the SARS-CoV-2 virus, emerged in 2019 and led to a worldwide pandemic in 2020. The COVID-19 pandemic has been a massive natural experiment in the formation of mitigation strategies to prevent cases and to provide effective healthcare for those afflicted. Regional differences in the impact of the pandemic on morbidity and mortality have been driven by political and regional differences in the coproduction of public health and social policy. We explored the United States (US) experience of COVID-19 for trends and correlations with other nations and also at the national, regional, state and local levels. OBJECTIVE: To identify geographic and temporal trends in the spread of COVID-19 in the United States. METHODS: Population data on COVID-19 cases and mortality were acquired on a daily basis from multiple publicly available databases, including the New York Times and Johns Hopkins University. At each geographic level (national, state and county), geographic entities' reported cases were evaluated for correlations using linear least-squares methods to identify patterns of correlation in the cases independent of scale. We evaluated for two specific characteristics: (i) the nature of the curvature of the line linking across percentile scores, ranging from concave to convex and (ii) the area under this curve, indicating how effectively a selected region (nation, state and county) is linked to its entire containing unit (world, country and state). We used this approach to identify three distinct COVID behavior phenotypes, each of which consisted of a number of states in the USA. RESULTS: We found that COVID activity in the USA follows a unique trend compared to other countries and that within the USA during the first year of the pandemic, three initial COVID phenotypes emerged: (i) the metropolitan outbreak (early outbreak phenotype); (ii) the regional outbreak (summer peak phenotype) and (iii) trans-regional outbreak (fall/winter peak phenotype), which, taken in sum, represent the overall USA national trend. Each phenotype has specific behavioral characteristics and is composed of a cluster of different states experiencing different conditions. CONCLUSION: Our findings suggest a new opportunity for public health strategy in the pandemic, namely to apply targeted public health approaches to address the specific needs of each phenotype. In the future, we should create databases that capture key health and hardship data elements at the smallest geographic level possible and use these to track trends, predict the future and apply targeted coproduction approaches to more effectively and efficiently safeguard population health, economic vitality and social well-being.

Initial development of a self-assessment approach for coproduction value creation by an international community of practice.

BACKGROUND: Coproduction offers a new way of conceptualizing healthcare as a service that is co-created by people (health professionals and people seeking health services) rather than a product that is generated by providers or health systems and delivered to patients. This offers new possibilities for those introducing and testing changes, and it enables additional ways of creating value. Fjeldstad and colleagues describe the architecture of several kinds of value creating systems: (i) Chain; (ii) Shop; (iii) Network and (iv) Access. An international Value Creating Business Model Community of practice (VCBM CoP) was formed by the International Coproduction of Health Network and explored these types of systems and developed a self-assessment guide for health systems to use to assess value. METHODS: An international community of practice comprising leaders, clinicians, patients and finance specialists representing 12 health systems from four countries (USA, UK, Israel and Sweden) met monthly for 1 year and used a semi-structured process to iteratively refine and adapt Fjeldstad's model for use in healthcare and develop a draft self-assessment guide. The process concluded with initial focus group user experience sessions with six health systems. RESULTS: The community of practice successfully completed a 1-year journey of discovery, development and learning, resulting in two products: (1) a full-version self-assessment guide (detailed) and (2) an abbreviated 'short-form' of the guide. Initial focus-group results suggest that there is initial perceived feasibility, acceptability and utility of the guides and that further development and research is reasonable to pursue. Results suggest significant variation and context specificity in the use of the guide, simple and complex knowledge transfer applications in use, and the need for the development of simple and technology supported versions for use in the future. CONCLUSION: The VCBM CoP has successfully completed a 1-year collaborative learning cycle, resulting in the development of a self-assessment guide that is now ready for additional investigation using formal research methods. The CO-VALUE study has been designed to build on the work of the CoP and includes qualitative and quantitative assessment phases and a concept mapping study.

A 'COVID Compass' for navigating the pandemic.

INTRODUCTION: The greatest challenge confronting political, public health, business, education and social welfare leaders in the COVID pandemic era is to restore the economy, businesses and schools without further risking public health. The 'COVID Compass' project aims to provide helpful information to guide local decisions by tracking state and local policies over time and their impact on a balanced set of outcomes-health metrics, economic trends and social hardship indicators. METHODS: We selected a parsimonious set of 'local level' health, economic and hardship outcomes and linked them to 'local level' actions aimed to decrease COVID-19 health effects and to mitigate hardship for people, businesses and the economy. Data trends will be released frequently (e.g. weekly and monthly) to show changes in health economic and social hardship 'outcomes' (based on quantitative data), alongside policy, health care, public health and individual/social 'actions' (based on both qualitative and quantitative data). RESULTS: Work on initial analytic and visualization prototypes of the COVID Compass is currently in progress at national, state and local levels. CONCLUSION: Building a national, regional and local integrated database platform that captures upstream policies, actions and behaviors and links them to downstream health, economic and social hardship outcomes will offer a more comprehensive view of the data necessary for decision-makers and citizens to more effectively and intelligently monitor and mitigate harms caused by the pandemic.

Building a Reliable Health Care System: A Lean Six Sigma Quality Improvement Initiative on Patient Handoff.

BACKGROUND: There is limited evidence available identifying best practices to promote and sustain optimal outpatient-to-inpatient handoff processes to ensure safe and reliable continuity of care. LOCAL PROBLEM: A sentinel event occurred during the transition of care from the outpatient-to-inpatient setting. A root cause analysis revealed that the facility's standard operating procedure for patient handoffs was not consistently followed. METHODS: A Lean Six Sigma approach was used to improve patient transfer with the implementation of a Situation-Background-Assessment-Recommendation handoff policy. Inferential and statistical process control methods were used to assess performance outcomes pre- and postdissemination. RESULTS: Over 36 months there was a slow, steady decrease in patient transfer time including reduced variability. The most significant improvement effect occurred in the third year with a 50% reduction in transfer time. CONCLUSIONS: Longitudinal monitoring provides the opportunity to accurately identify beneficial outcomes, which develop downstream from initial quality improvement efforts.

Turning Feed-forward and Feedback Processes on Patient-reported Data into Intelligent Action and Informed Decision-making: Case Studies and Principles.

INTRODUCTION: The collection of patient-reported outcomes (PROs) in routine clinical practice provides opportunities to "feed-forward" the patient's perspective to his/her clinical team to inform planning and management. This data can also be aggregated to "feedback" population-level analytics that can inform treatment decision-making, predictive modeling, population-based care, and system-level quality improvement efforts. METHODS AIDING INTERPRETATION AND ACTING ON RESULTS: Three case studies demonstrate a number of system-level features which aid effective PRO interpretation: (1) feed-forward and feedback information flows; (2) score interpretation aids; (3) cascading measurement; (4) registry-enabled learning health care systems; and (5) the maturational development of information systems. DISCUSSION: The case studies describe the developmental span of feed-forward PRO programs-from simple to mature applications. The Concord Hospital (CH) Multiple Sclerosis Neurobehavioral Clinic exemplifies a simple application in which PRO data are used before and during clinic visits by patients and clinicians to inform care. The Dartmouth-Hitchcock (D-H) Spine Center exemplifies a mature program which utilizes population-level analytics to provide decision support by predicting outcomes for different treatment options. The Swedish Rheumatology Quality (SRQ) Registry epitomizes an exceptional application which has spread to multiple systems across an entire country. KEY POINTS: Feed-forward and feedback PRO information systems can better inform, involve, and support clinicians, patients and families, and allow health systems to monitor and improve system performance and population health outcomes. Ideal systems have the capability for multilevel analyses at patient, system, and population levels, and an information technology infrastructure that is linked to associated workflows and a supportive practice culture. As systems mature, they progress beyond the ability to describe and inform towards higher level capabilities including prediction and decision support. Finally, there is additional promise for the integration of patient-reported information that is adjusted (or weighted) by preferences and values to guide shared decision-making and inform individualized precision health care in the future.

Comparing Hospital Length of Stay Between Persons With LEP and English-Speaking Patients in a Large Rural Academic Medical Center.

BACKGROUND: Patients with limited English proficiency that are hospitalized without regular access to professional medical interpreters have a longer length of stay (LOS).1 The authors studied the difference in LOS between English-speaking patients and patients with limited English proficiency in New Hampshire's only academic trauma medical center. The authors also examined race, ethnicity, and distance of residence from hospital. METHODS: Retrospective data were queried from EPIC, the electronic medical record system used by the authors. Queried data focused on inpatient hospitalizations between January 1, 2019, and December 31, 2021. Patient primary language was grouped into English, Spanish, and other non-English language. RESULTS: Spanish-speaking patients live on average 39.6 miles farther from a hospital than English-speaking patients and have a 0.34 lower case mix index. After English, Spanish is the second-most frequently spoken language. Regression analyses found language to be a significant factor in LOS, LOS variance, and case mix index. DISCUSSION: A 2.34-day longer LOS for Spanish-speaking patients demonstrates an important health care disparity warranting further attention.

A Practical Approach for Developing Shared Decision-Making Knowledge, Skills, and Capability for Busy Health Care Practitioners.

BACKGROUND: There has been substantial development of shared decision-making (SDM) methods and approaches in the past few decades, but despite this, building capability and scaling application of SDM in clinical practice remains a challenge. Here the authors describe the development and initial experience with a new virtual Practical Approach continuing education program for busy practicing clinicians who care for people with complex, chronic, and costly conditions who are frequently faced with preference-sensitive decisions. This program was designed to provide plain language training in SDM for real-world clinical practice using an easy 4-step approach that does not require prior training or formal education in SDM theory or methods. METHODS: The authors describe the development of the Practical Approach program using established evidence-based principles. The program was piloted in 4 different settings across 2 chronic conditions. Qualitative interviews of program participants were conducted to observe SDM attitudes and observed performance in repeated case-based simulation role-play exercises to assess knowledge and skills performance. RESULTS: The authors observed improved and more realistic SDM attitudes in qualitative interviews with program participants after exposure to the program compared to baseline, and they similarly observed improved knowledge and skills demonstrated in sequential simulations conducted as participants were exposed to the program. Post-program focus groups revealed that participants perceived the program to be feasible, acceptable, and useful. CONCLUSIONS: Initial experience with the Practical Approach program suggests that it may beneficially affect basic SDM knowledge, skills, and attitudes in busy practicing clinicians who are novices in SDM. It also has demonstrated initial feasibility, utility, and acceptability.

Positive Deviance Theory: Leveraging Compliments Data to Guide Strategic Planning for Patient Experience Improvement in a Large Rural Health Care System.

BACKGROUND: Patient-centered care (PCC) has been called for as a solution to improving care quality and patient outcomes. Patient experience, termed care experience, is a measurable aspect of PCC and aligns with coproduction. Identifying patterns of positivity and high performers is a Positive Deviance approach that can inform strategic improvement of the care experience. OBJECTIVE: To identify the characteristics of positive deviances from voluntary, unsolicited compliments from patients and family members about their care experiences. METHODS: The authors conducted a mixed-method analysis, including content and a thematic analysis of unsolicited comments from patients and families, submitted between January 2021 and January 2022. After removing duplicates and miscategorized comments, 213 compliments were included in the analysis using a single, blinded inductive coding to synthesize thematic statements. RESULTS: The main campus received the most compliments by location (89%); the most widely used patient sentiment was thankful (36.8%). Compassionate (26.8%), together with six others: competent (11.6%), communication (10.6%), cared for (8.5%), care team (8.0%), and supportive (8.0%), made up approximately 80% of drivers of care quality. Physicians (37.3%) and nurses (34.2%) were the most complimented personnel, although surgery (17.0%) were the most complimented services team. Similar characteristics were reported for exemplary individuals and their associated care teams. CONCLUSION: The results align with previously reported work by the Beryl Institute and CMS 5-star rating on key drivers of patient experience. This approach provides a method by which exemplars can be identified within health systems, and that information is used to guide improvement and organizational planning.

Using Focus Groups to Evaluate a Self-Assessment Approach to Coproduction Value Creation in an International Community of Practice: Phase 2 of the CO-VALUE Study.

INTRODUCTION: Coproduction learning health system models clearly define the use of clinical and patient-reported data for system learning and quality improvement, but less is known about how to document formative learning about coproduction value creation over the course of a quality improvement initiative. The authors aimed to 1) assess the feasibility, utility, and acceptability of novel self-assessment tools for coproduction value creation and 2) identify domains of coproduction value creation. METHODS: The authors conducted 4 focus groups with quality improvement teams from 4 health systems in the United States and Sweden between June 2021 and September 2023. A single analyst coded transcripts and proposed themes, with investigator triangulation validating results. RESULTS: Participants found the self-assessment tools acceptable and useful. The improvement passport was seen as more feasible for routine use than the full self-assessment guide. Peer learning within the community of practice, diverse multidisciplinary improvement teams, and leadership support facilitated teams' work. Domains of coproduction value creation included communication, self-efficacy, interconnectedness, direct and indirect costs of health care utilization, health professional experience, and access to the right care. DISCUSSION: Peer learning and camaraderie within the community of practice maintained momentum among participating teams during a challenging time of limited resources and mounting responsibilities in health care settings, suggesting enhanced resiliency through approaching difficult tasks in community. CONCLUSION: The authors identified themes of coproduction value creation and drivers of engagement. Future research will draw on the measurement domains established in this study to inform the development of measures of coproduction value creation. Those measures could then be incorporated into the data-rich environments of coproduction learning health systems to enhance focus on value from service user and professional perspectives.

Diversity in Combating Complex, Chronic, and Costly Conditions Using a Learning Health System Approach: A Scoping Review.

INTRODUCTION: The purpose of this scoping review was to investigate in the literature how a learning health system (LHS) can be implemented in cases of complex, costly, chronic (3C) conditions. METHODS: A scoping review of literature published in English since 2007 was conducted using Medline, Cumulative Index to Nursing and Allied Health Literature, and Scopus. Two authors screened the resulting articles and two authors extracted study details on the structure, process, and outcome of each LHS. Eligibility criteria included studies of LHSs that focused on populations experiencing a complex chronic health condition. A narrative synthesis of data was conducted using deductive qualitative methods. RESULTS: Application of the authors' search strategy resulted in 656 publications that were analyzed for this review. The authors included 17 studies that focused on 13 LHSs. The structure of the LHSs had many components, and many included data from either patient surveys or patient charts. The processes varied widely, from engaging patients in the process to exclusively analyzing the data. The outcomes were largely patient-reported, though several clinical outcomes were also used to benchmark the success of the LHS. DISCUSSION: Our review shows that LHS definitions, structures, processes, and outcomes in 3C applications vary widely. Many have shown substantial potential to be implemented and improve care in 3C populations. To deliver on this goal, future work will need to focus on better specification, formalization, and definition of LHS approaches, as well as better design of their structures, processes, and outcomes to fit the needs of the intended population.

Quantifying Fatigue Using Electrophysiological Techniques and Non-invasive Brain Stimulation in People With Multiple Sclerosis- A Review and Discussion.

Objective: The purpose of this literature review article is to provide a synthesis of recent research focused on the use of 3 techniques to evaluate MS-related fatigue: electroencephalography [EEG], transcranial direct-current stimulation (tDSC), and transcranial- magnetic stimulation (TMS). Method: We performed a literature search in the Cumulative Index to Nursing and Allied Health Literature (CINAHL, EBSCOhost), MEDLINE (OVID), APA PsycInfo (OVID), Scopus (Elsevier), and Web of Science (Clarivate) databases, limited to 2015 and after. Results: Our review revealed that fatigue in MS patients can be quantified and predicted using electrophysiological techniques. Such techniques, which yield objective data, are historically assessed in relation to subjective data, or perceived fatigue. We identified studies using EEG, TMS, and/or tDCS to study fatigue in people with MS. In total, 220 records were identified with 19 studies meeting inclusion criteria. Quality appraisal revealed that the level of evidence was generally graded "good". Conclusions: Despite the heterogenous nature of reviewed the studies and selected the varied self-report fatigue measures, our literature synthesis suggests promise for the use of EEG, TMS, and/or tDCS approaches in more accurately assessing fatigue in people with MS. Further research is needed in this arena.

A Hybrid Markov-SPC Approach to Assess Cost Differences in Urgent Care Utilization Using Patient-Reported Data in Inflammatory Bowel Disease.

BACKGROUND: Cost is a key outcome in quality and value, but it is often difficult to estimate reliably and efficiently for use in real-time improvement efforts. We describe a method using patient-reported outcomes (PROs), Markov modeling, and statistical process control (SPC) analytics in a real-time cost-estimation prototype designed to assess cost differences between usual care and improvement conditions in a national multicenter improvement collaborative-the IBD Qorus Learning Health System (LHS). METHODS: The IBD Qorus Learning Health System (LHS) collects PRO data, including emergency department utilization and hospitalizations from patients prior to their clinical visits. This data is aggregated monthly at center and collaborative levels, visualized using Statistical Process Control (SPC) analytics, and used to inform improvement efforts. A Markov model was developed by Almario et al to estimate annualized per patient cost differences between usual care (baseline) and improvement (intervention) time periods and then replicated at monthly intervals. We then applied moving average SPC analyses to visualize monthly iterative cost estimations and assess the variation and statistical reliability of these estimates over time. RESULTS: We have developed a real-time Markov-informed SPC visualization prototype which uses PRO data to analyze and monitor monthly annualized per patient cost savings estimations over time for the IBD Qorus LHS. Validation of this prototype using claims data is currently underway. CONCLUSION: This new approach using PRO data and hybrid Markov-SPC analysis can analyze and visualize near real-time estimates of cost differences over time. Pending successful validation against a claims data standard, this approach could more comprehensively inform improvement, advocacy, and strategic planning efforts.

A Qualitative Study on the Impact and Feasibility of a Simulation-Based Program for Shared Decision-Making in Non-Small Cell Lung Cancer Care.

BACKGROUND: In the pursuit of improved clinical outcomes and patient experience in health care, shared decision-making (SDM) stands as a pivotal concept garnering increasing attention, but SDM utilization varies widely, often leading to confusion regarding team members' roles. This study explores knowledge, skills, and attitudes of oncology clinicians engaged in a pioneering educational initiative at a comprehensive cancer care center, aimed at enhancing frontline SDM capabilities. METHODS: Utilizing a prospective cohort qualitative approach, the team conducted interviews with 6 clinicians in a multidisciplinary oncology program who were engaged in an SDM continuing education program. In the program, participants were immersed in experiential learning activities including standardized didactic sessions and simulation-based SDM case role-play activities. RESULTS: Thematic analysis of interview data revealed 5 major categories: 1) perceptions of SDM; 2) training; 3) patient-centered care; 4) challenges and constraints; and 5) leadership buy-in. Participants perceived benefits, including adopting a better approach to integrate SDM into their practice, heightened engagement, emphasizing team collaboration, and embracing a patient-centric care model. CONCLUSIONS: This study underscores the transformative impact of education and training on enhancing SDM capabilities among oncology clinicians and is not intended for generalizability. By promoting a basic understanding and application of SDM principles, practicing clinicians can be better empowered to improve health care outcomes and experience. Our findings contribute to the broader endeavor of embedding practical SDM principles within clinical practice, thereby fostering a more patient-centered and effective health care environment.

Building Frontline Capability for Shared Decision-Making (SDM) in a Major Academic Oncology Center Caring for People With Non-Small Cell Lung Cancer: Performance Outcomes of a SDM Simulation Training Program.

BACKGROUND: There is a growing body of evidence on shared decision-making (SDM) training programs worldwide. However, there is wide variation in program design, duration, effectiveness, and evaluation in both academia (ie, medical school) and the practice setting. SDM training has been slow to integrate in practice settings. METHODS: A pilot study of 6 multidisciplinary clinicians was conducted using quantitative and qualitative methods to evaluate changes in participant understanding and implementation of SDM in the practice setting. A 2-rater criterion-based evaluation method was used to assess a simulation-based case study role-play program using 7 domains of SDM pre and post training. The authors assessed whether clinicians addressed each of the 7 domains or what fraction of each domain was addressed as part of their simulation case study role-play performance. Focus groups were conducted pre- and postintervention to provide feedback to participants and to understand the clinician experience in greater detail. RESULTS: The increase in improvement in SDM ranged from 17% to 37%, and 7 of 8 domains for which participants were rated showed significant improvement. The areas of greatest improvement were seen in determining a patient's goals/preferences, including risk tolerance regarding treatments (+37%) and values and self-efficacy (+37%). CONCLUSION: The results of this study reveal a significant shift in clinician awareness of a patient's goals, preferences, and values. Postintervention, clinicians began to understand the value of building a partnership with their patients whereby the patient becomes an active participant in their clinical care.

A Post-Acute COVID-19 Syndrome (PACS) Clinic in Rural New England.

This article explores the demand and utilization of a rural post-acute COVID syndrome clinic. Electronic health records were used to identify referrals between April 2021 and April 2022 and to describe characteristics of referred patients and referrals generated to specialty services. Of the 747 referrals received, 363 (48.6%) met the criteria for an appointment and were seen, the vast majority (89.6%) via Telehealth. Most patients resided in rural communities (63.1%) and were female (75.2%); mean age was 49, and 17% were hospitalized during their acute illness. Nearly half of patients (49%) had at least one pre-existing mental health diagnosis. Referrals to specialty care for further evaluation and/or intervention were most commonly to occupational therapy (27.3%), physical therapy (24.8%), psychiatry (19.8%), and neurology (17%). Telehealth expanded the availability of health care resources. Additional research on how to meet care needs, ameliorate symptoms, and aid recovery in rural communities is warranted.

Implementation of a Standardized Shared Decision-making Bundle to Improve Communication Practices in the Neurocritical Care Unit.

Background and Objective: Shared decision-making (SDM) aligns patient preferences with health care team treatment goals. This quality improvement initiative implemented a standardized SDM bundle within a neurocritical care unit (NCCU), where unique demands make existing, provider-driven SDM practices challenging. Methods: An interprofessional team defined key issues, identified barriers, and created change ideas to drive implementation of an SDM bundle using the Institute for Healthcare Improvement Model for Improvement framework incorporating Plan-Do-Study-Act cycles. The SDM bundle included (1) a health care team huddle pre-SDM and post-SDM conversation; (2) a social worker-driven SDM conversation with the patient family, including core standardized communication elements to ensure consistency and quality; and (3) an SDM documentation tool within the electronic medical record to ensure the SDM conversation was accessible to all health care team members. The primary outcome measure was percentage of SDM conversations documented. Results: Documentation of SDM conversations improved by 56%, from 27% to 83% pre/postintervention. Average time to documentation decreased by 4 days, from day 9 preintervention to day 5 postintervention. There was no significant change in NCCU length of stay, nor did palliative care consultation rates increase. Postintervention, SDM team huddle compliance was 94.3%. Discussion: A team-driven, standardized SDM bundle that integrates with health care team workflows enabled SDM conversations to occur earlier and resulted in improved documentation of SDM conversations. Team-driven SDM bundles have the potential to improve communication and promote early alignment with patient family goals, preferences, and values.

Achievement of age-friendly health systems committed to care excellence designation in a convenient care health care system.

OBJECTIVE: To describe the implementation of the age-friendly health systems (AFHS) 4Ms Framework, an evidence-based framework to assess and act on "What Matters, Medication, Mentation and Mobility to deliver Age-Friendly health care for patients 65 and older", to achieve the Institute for Health care Improvement (IHI) Committed to Care Excellence recognition in a convenient care health system and test two novel implementation strategies. SETTING: The study was conducted in over 1100 convenient care clinics in 35 states and DC. MinuteClinics are located in community-based retail pharmacies in rural, suburban, and urban areas and staffed with approximately 3300 nurse practitioners and physician associates. DESIGN: In Year 1, the project used a quality improvement design, and in Year 2, a quasi-experimental implementation research design to pilot two strategies at the provider level (Virtual Clinic and Plan-Do-Study-Act (PDSA)). Statistical process control charts were used to assess changes in 4Ms documentation over time. Mixed-effects Poisson regression was used to assess the effectiveness of the pilot studies. DATA COLLECTION: The electronic health record (EHR) was enhanced to capture documentation of the AFHS 4Ms assessments and actions. A learning platform was created to teach and evaluate provider 4Ms competency, and the two data sources were merged into a registry. A formative evaluation was conducted using Tableau and reporting dashboards. FINDINGS: After 18 months and the implementation of 20 strategies to improve the uptake of the 4Ms, MinuteClinic achieved the IHI Committed to Care Excellence recognition. A significant increase over time in the reliable delivery of all 4Ms and each M component individually was found. For the research, there were significant improvements in the mean number of Ms delivered per visit (M-Score) in the Virtual Clinic (Incident Rate Ratio [IRR]: 2.47, p = 0.001) and PDSA (IRR: 3.08, p = 0.002) strategy intervention groups when compared to controls. CONCLUSIONS: Application of quality improvement and implementation methodologies contributed to the success of implementing age-friendly 4Ms evidence-based practice.