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.

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.

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.

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 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 Social Support and Moral Healing on Nursing Units: Design and Implementation of a Culture Change Intervention.

The healthcare industry continues to experience high rates of burnout, turnover, and staffing shortages that erode quality care. Interventions that are feasible, engaging, and impactful are needed to improve cultures of support and mitigate harm from exposure to morally injurious events. This quality improvement project encompassed the methodical building, implementation, and testing of RECONN (Reflection and Connection), an organizational intervention designed by an interdisciplinary team to mitigate the impact of moral injury and to increase social support among nurses. This quality improvement project was conducted in a medical intensive care unit (MICU) in a rural, academic medical center. We employed an Evidence-Based Quality Improvement (EBQI) approach to design and implement the RECONN intervention while assessing the feasibility, acceptability, and preliminary effectiveness via surveys (n = 17). RECONN was found acceptable and appropriate by 70% of nurses who responded to surveys. Preliminary effectiveness data showed small to moderate effect sizes for improving social support, moral injury, loneliness, and emotional recovery. Further evaluation is warranted to establish the effectiveness and generalizability of RECONN to other healthcare settings.

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.

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.

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.

Harnessing the Collective Expertise of Patients, Care Partners, Clinical Teams, and Researchers Through a Coproduction Learning Health System: A Case Study of the Dartmouth Health Promise Partnership.

The coproduction learning health system (CLHS) model extends the definition of a learning health system to explicitly bring together patients and care partners, health care teams, administrators, and scientists to share the work of optimizing health outcomes, improving care value, and generating new knowledge. The CLHS model highlights a partnership for coproduction that is supported by data that can be used to support individual patient care, quality improvement, and research. We provide a case study that describes the application of this model to transform care within an oncology program at an academic medical center.

Bidirectional Correlations Between Health Confidence and Inflammatory Bowel Disease Activity: A Nationwide Longitudinal Cohort Study.

Health confidence­an individual's belief in their ability and agency to affect disease outcomes­has bidirectional temporal correlations with inflammatory bowel disease activity. Low health confidence is associated with higher risks for future disease activity, and inflammatory bowel disease flares erode confidence.

Transitional Care Management Quality Improvement Methods That Reduced Readmissions in a Rural, Primary Care System.

BACKGROUND: Transitional Care Management (TCM) is a reimbursable service designed to minimize hospital readmissions. We describe a multifaceted approach to increase TCM services among 107 primary care providers in a rural catchment area of 4250 square miles. OBJECTIVE: The primary objective was to increase use of TCM phone calls, office visits, and billing codes; the secondary objective was to decrease hospital readmissions. METHODS: We utilized a learning health system model, an improvement support team (IST), and a learning collaborative that included webinars and in-person support. The process emphasized user-centered system redesign, coaching, electronic health record (EHR) improvements, and real-time feedback. Analyses included statistical process control charts, box plots, analysis of variance, and t-tests. RESULTS: The IST engaged stakeholders to design and test TCM workflows and EHR prototypes. This resulted in rapid, iterative improvements and system-wide spread of new processes. In the month following implementation, TCM calls and visits quadrupled and increased during 18 subsequent months. Pragmatically, most discharged patients (95% in a subsample) did not receive both the TCM call and visit, serving as a comparison group. The Readmission rate for patients receiving complete TCM services was 5.0% (n = 101) versus 11.9% for comparators (n = 2103, P = .03). Billing codes increased initially, then returned to baseline. CONCLUSIONS: Our approach led to rapid, sustained scaling of TCM calls and visits in a rural primary care group. Patients who received TCM calls and visits had significantly fewer readmissions. Training of new staff, including PCPs, is required for sustainability. Future research is warranted to increase adoption and evaluate additional outcomes including mortality rates, patient satisfaction, and health care economics.

Contact patterns and costs of multiple sclerosis in the Swedish healthcare system-A population-based quantitative study.

BACKGROUND: The burden of disease for persons with multiple sclerosis (MS) and society is changing due to new treatments. Knowledge about the total need for care is necessary in relation to changing needs and new service models. OBJECTIVE: The aim of this study was to describe the contact patterns for MS patients, calculate costs in health care, and create meaningful subgroups to analyze contact patterns. METHODS: All patients diagnosed with MS at Ryhov Hospital were included. All contacts in the region from January 1, 2018, until September 30, 2019, were retrieved from the hospital administrative system. Data about age, sex, contacts, and diagnosis were registered. The cost was calculated using case costing, and costs for prescriptions were calculated from medical files. RESULTS: During the 21-month period, patients (n = 305) had 9628 contacts and 7471 physical visits, with a total cost of $7,766,109. Seventeen percent of the patients accounted for 48% of the visits. The median annual cost was $7386 in the group with 10 or fewer visits, compared to $22,491 in patients with more than 50 visits. CONCLUSION: There are considerable differences in the utilization of care and cost between patients with MS in an unselected population, meaning that the care needs to be better customized to each patient's demands.

Utilization Patterns and Outcomes of People With Diabetes and COVID-19: Evidence From United States Medicare Beneficiaries in 2020.

Objective: Determine differences in utilization patterns, disease severity, and outcomes between patients with and without diabetes mellitus diagnosed with COVID-19 in 2020. Research Design and Methods: We used an observational cohort comprised of Medicare fee-for-service beneficiaries with a medical claim indicating a COVID-19 diagnosis. We performed inverse probability weighting between beneficiaries with and without diabetes to account for differences in socio-demographic characteristics and comorbidities. Results: In the unweighted comparison of beneficiaries, all characteristics were significantly different (P<0.001). Beneficiaries with diabetes were younger, more likely to be black, had more comorbidities, higher rates of Medicare-Medicaid dual-eligibility, and were less likely to be female. In the weighted sample, hospitalization rates for COVID-19 among beneficiaries with diabetes was higher (20.5% vs 17.1%; p < 0.001). Outcomes of hospitalizations were similarly worse among beneficiaries with diabetes: admissions to ICU during hospitalizations (7.78% vs. 6.11%; p < 0.001); in-hospital mortality (3.85% vs 2.93%; p < 0.001); and ICU mortality (2.41% vs 1.77%). Beneficiaries with diabetes had more ambulatory care visits (8.9 vs. 7.8, p < 0.001) and higher overall mortality (17.3% vs. 14.9%, p < 0.001) following COVID-19 diagnosis. Conclusion: Beneficiaries with diabetes and COVID-19 had higher rates of hospitalization, ICU use and overall mortality. While the mechanism of how diabetes impacts the severity of COVID-19 may not be fully understood, there are important clinical implications for persons with diabetes. A diagnosis of COVID-19 leads to greater financial and clinical burden than for their counterparts, persons without diabetes, including perhaps most significantly, higher death rates.

Development of Balanced Whole System Value Measures for Inflammatory Bowel Disease Care in the IBD Qorus Collaborative Using a Modified Delphi Process.

BACKGROUND: The IBD Qorus Collaborative aims to reduce variation and increase the value of care for the adult inflammatory bowel disease (IBD) community. To evaluate the success of the collaborative, we aimed to develop a balanced set of outcome measures that reflect a multistakeholder view of value in IBD care. To achieve this, we used the Clinical Value Compass framework and engaged a mixed-stakeholder group to conduct a modified Delphi process. The end result was a 10-measure set to assess the value of IBD care. METHOD: The modified Delphi process included 3 iterative rounds of blinded voting and interactive webinar-style discussion. We recruited 18 participants for the Delphi panel, including clinicians, researchers, patients, Crohn's & Colitis Foundation staff, and payers. Participants first identified constructs to measure, then identified the tools to measure those constructs. A literature review and environmental scan of current measures in 4 domains were performed, and relevant measures were proposed for discussion and voting in each domain. Throughout the process, participants were invited to contribute additional measures. CONCLUSION: The modified Delphi process led to selection of 10 value measures across 4 domains: (1) patient experience; (2) functional status; (3) clinical status; and (4) health care costs and utilization. We have successfully completed a 3-stage modified Delphi process to develop a balanced set of value measures for adult IBD care. The value measure set expands upon prior efforts that have established quality measures for IBD care by adding cost and experience of care elements. This work positions IBD Qorus to better assess, study, improve, and demonstrate value at individual, system, and population levels and will inform and empower related research, improvement, and implementation efforts.

System-Level Variation in Multiple Sclerosis Care Outcomes: Initial Findings from the Multiple Sclerosis Continuous Quality Improvement Research Collaborative.

Multiple sclerosis (MS) is a "3C" (complex, chronic, costly) condition that is a common and disabling neurological illness affecting approximately 1 million adults in the United States. MS has been studied at the basic science, individual, and population levels, but not at the system level to assess small-area variation effects on MS population health outcomes. System-level effects have been observed in other 3C conditions including cystic fibrosis, rheumatoid arthritis, and inflammatory bowel disease. The authors report here on system-level variation findings from the baseline period during the first year of the Multiple Sclerosis Continuous Quality Improvement (MS-CQI) study. Stepwise binary logistic regression analyses were conducted to investigate system-level (small-area variation) effects on MS relapses (exacerbations), disease-modifying therapy (DMT) utilization, and brain MRI utilization, controlling for demographics (age and sex) and other potential confounders. Significant differences were observed in people with MS (PwMS) between centers for a number of demographic and disease characteristics, including sex, age, and MS subtype. Controlling for these factors, significant system-level effects were observed on outcomes, including DMT utilization, MRI utilization, and relapses. Significant relationships also were observed between outcomes and urgent care utilization, including emergency department visits and hospitalizations. This initial study provides evidence establishing the presence of system-level variation effects on MS outcomes in a multicenter population study - where PwMS get their care can influence their outcomes. Results support continued systems-level research and improvement initiatives to optimize MS population health outcomes in this challenging and costly complex chronic condition.

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).