Ambulatory Care Coordination Data Gathering and Use.

Care coordination is a crucial component of healthcare systems. However, little is known about data needs and uses in ambulatory care coordination practice. Therefore, the purpose of this study was to identify information gathered and used to support care coordination in ambulatory settings. Survey respondents (33) provided their demographics and practice patterns, including use of electronic health records, as well as data gathered and used. Most of the respondents were nurses, and they described varying practice settings and patterns. Although most described at least partial use of electronic health records, two respondents described paper documentation systems. More than 25% of respondents gathered and used most of the 72 data elements, with collection and use often occurring in multiple locations and contexts. This early study demonstrates significant heterogeneity in ambulatory care coordination data usage. Additional research is necessary to identify common data elements to support knowledge development in the context of a learning health system.

Exploring Hospital Transfers for Long-Stay Nursing Home Residents With End-Stage Renal Disease.

BACKGROUND: Nursing home residents with end-stage renal disease (ESRD) are an understudied, yet growing population within nursing homes. PURPOSE: To describe hospital transfers for nursing home residents diagnosed with ESRD and receiving hemodialysis. METHODS: Data were analyzed for residents with ESRD transferred to the hospital between October 2016 and September 2020 (n = 219). Descriptive statistics, bivariate analyses, logistic regression, and content analysis were used for analysis. RESULTS: Clinical factors associated with transfers included abnormal vitals, altered mental state, and pain. Other factors included lack of care planning and advance directives, provider communication, resident/family preferences, missing/refusing dialysis, and facility resources. The odds of an observation/emergency department only visit was 2.02 times larger when transferred from the dialysis clinic. CONCLUSIONS: Advance care planning and coordinated care between nursing home and dialysis clinics are needed along with proactive planning when residents miss dialysis or experience a condition change at the dialysis clinic.

Evaluating the implementation fidelity to a successful nurse-led model (INTERCARE) which reduced nursing home unplanned hospitalisations.

BACKGROUND: Implementation fidelity assesses the degree to which an intervention is delivered as it should be. Fidelity helps to determine if the outcome(s) of an intervention are attributed to the intervention itself or to a failure of its implementation. Little is known about how fidelity impacts the intended outcome(s) and what elements or moderators can affect the fidelity trajectory over time. We exemplify the meaning of implementation fidelity with INTERCARE, a nurse-led care model that was implemented in eleven Swiss nursing homes (NHs) and showed effectiveness in reducing unplanned hospital transfers. INTERCARE comprises six core elements, including advance care planning and tools to support inter- and interprofessional communication, which were introduced with carefully developed implementation strategies. METHODS: A mixed-methods convergent/triangulation design was used to investigate the influence of implementation fidelity on unplanned transfers. A fidelity questionnaire measuring the degree of fidelity to INTERCARE's core components was fielded at four time points in the participating NHs. Two-monthly meetings were conducted with NHs (September 2018-January 2020) and structured notes were used to determine moderators affecting fidelity (e.g., participant responsiveness). We used the fidelity scores and generalized linear mixed models to analyze the quantitative data. The Framework method was used for the qualitative analysis. The quantitative and qualitative findings were integrated using triangulation. RESULTS: A higher overall fidelity score showed a decreasing rate of unplanned hospital transfers post-intervention (OR: 0.65 (CI = 0.43-0.99), p = 0.047). A higher fidelity score to advance care planning was associated with lower unplanned transfers (OR = 0.24 (CI 0.13-0.44), p = < 0.001) and a lower fidelity score for communication tools (e.g., ISBAR) to higher rates in unplanned transfers (OR = 1.69 (CI 1.30-2.19), p = < 0.003). In-house physicians with a collaborative approach and staff's perceived need for nurses working in extended roles, were important moderators to achieve and sustain high fidelity. CONCLUSION: Implementation fidelity is challenging to measure and report, especially in complex interventions, yet is crucial to better understand how such interventions may be tailored for scale-up. This study provides both a detailed description of how fidelity can be measured and which ingredients highly contributed to reducing unplanned NH transfers. TRIAL REGISTRATION: The INTERCARE study was registered at clinicaltrials.gov Protocol Record NCT03590470.

Discharge process challenges of an academic vascular surgery service: A qualitative study.

Vascular surgery patients have a high incidence of unplanned hospital readmissions and complications. Previous research has not fully examined specific elements of the hospital discharge process for vascular surgery patients to identify issues that may contribute to readmissions. The objective of this qualitative descriptive study was to explore challenges identified by healthcare providers and patients regarding the discharge process from an academic vascular surgery service. Data were collected from eight focus group interviews and analyzed for relevant themes. Patients and healthcare providers identified several challenges within the standard discharge process, including ineffective communication, insufficient time for discharge education, and limitations accessing providers with post-discharge concerns. These obstacles may be ameliorated in part by specialized coordinators, caregiver support, and use of adaptive strategies outside of the current discharge process. The discharge challenges described by study participants likely contribute to adverse post-hospitalization outcomes, including unplanned hospital readmissions. A multifaceted approach that incorporates standardized discharge processes, as well as informal problem-solving strategies, is recommended to improve hospital discharge and outcomes for vascular surgery patients.

Factors associated with avoidable hospital transfers among residents in Swiss nursing homes.

Unplanned hospitalizations from nursing homes (NHs) may be considered potentially avoidable and can result in adverse resident outcomes. There is little information about the relationship between a clinical assessment conducted by a physician or geriatric nurse expert before hospitalization and an ensuing rating of avoidability. This study aimed to describe characteristics of unplanned hospitalizations (admitted residents with at least one night stay, emergency department visits were excluded) and to examine this relationship. We conducted a cohort study in 11 Swiss NHs and retrospectively evaluated data from the root cause analysis of 230 unplanned hospitalizations. A telephone assessment by a physician (p=.043) and the need for further medical clarification and treatment (p=<0.001) were the principal factors related to ratings of avoidability. Geriatric nurse experts can support NH teams in acute situations and assess residents while adjudicating unplanned hospitalizations. Constant support for nurses expanding their clinical role is still warranted.

Mixed methods analysis of hospice staff perceptions and shared decision making practices in hospice.

PURPOSE: Shared decision making has been a long-standing practice in oncology and, despite a lack of research on the subject, is a central part of the philosophical foundation of hospice. This mixed methods study examined the perceptions of staff regarding shared decision making and their use of shared decision elements in hospice interdisciplinary team meetings. METHODS: The revised Leeds Attitude to Concordance scale (LatConII) was used to measure the attitudes of hospice staff toward shared decision making. Field notes and transcripts of hospice interdisciplinary team meetings that included family caregivers as participants were coded to identify 9 theory-driven shared decision making elements. The results were mixed in a matrix analysis comparing attitudes with practice. Three transcripts demonstrate the variance in the shared decision making process between hospice teams. RESULTS: Hospice staff reported overall positive views on shared decision making; however, these views differed depending on participants' age and position. The extent to which staff views were aligned with the observed use of shared decision making elements in hospice interdisciplinary team meetings varied. CONCLUSION: Policy and practice conditions can make shared decision making challenging during hospice interdisciplinary team meetings despite support for the process by staff. TRIAL REGISTRATION: This study is a sub-study of a parent study registered with clinicaltrials.gov (NCT02929108).

Health economic evaluation of a nurse-led care model from the nursing home perspective focusing on residents' hospitalisations.

BACKGROUND: Health economic evaluations of the implementation of evidence-based interventions (EBIs) into practice provide vital information but are rarely conducted. We evaluated the health economic impact associated with implementation and intervention of the INTERCARE model-an EBI to reduce hospitalisations of nursing home (NH) residents-compared to usual NH care. METHODS: The INTERCARE model was conducted in 11 NHs in Switzerland. It was implemented as a hybrid type 2 effectiveness-implementation study with a multi-centre non-randomised stepped-wedge design. To isolate the implementation strategies' costs, time and other resources from the NHs' perspective, we applied time-driven activity-based costing. To define its intervention costs, time and other resources, we considered intervention-relevant expenditures, particularly the work of the INTERCARE nurse-a core INTERCARE element. Further, the costs and revenues from the hotel and nursing services were analysed to calculate the NHs' losses and savings per resident hospitalisation. Finally, alongside our cost-effectiveness analysis (CEA), a sensitivity analysis focused on the intervention's effectiveness-i.e., regarding reduction of the hospitalisation rate-relative to the INTERCARE costs. All economic variables and CEA were assessed from the NHs' perspective. RESULTS: Implementation strategy costs and time consumption per bed averaged 685CHF and 9.35 h respectively, with possibilities to adjust material and human resources to each NH's needs. Average yearly intervention costs for the INTERCARE nurse salary per bed were 939CHF with an average of 1.4 INTERCARE nurses per 100 beds and an average employment rate of 76% of full-time equivalent per nurse. Resident hospitalisation represented a total average loss of 52% of NH revenues, but negligible cost savings. The incremental cost-effectiveness ratio of the INTERCARE model compared to usual care was 22'595CHF per avoided hospitalisation. As expected, the most influential sensitivity analysis variable regarding the CEA was the pre- to post-INTERCARE change in hospitalisation rate. CONCLUSIONS: As initial health-economic evidence, these results indicate that the INTERCARE model was more costly but also more effective compared to usual care in participating Swiss German NHs. Further implementation and evaluation of this model in randomised controlled studies are planned to build stronger evidential support for its clinical and economic effectiveness. TRIAL REGISTRATION: clinicaltrials.gov ( NCT03590470 ).

Decision-Making Involvement, Self-Efficacy, and Transition Readiness in Youth With Sickle Cell Disease.

BACKGROUND: Transition to adult healthcare is a critical time for adolescents and young adults (AYAs) with sickle cell disease, and preparation for transition is important to reducing morbidity and mortality risks associated with transition. OBJECTIVE: We explored the relationships between decision-making involvement, self-efficacy, healthcare responsibility, and overall transition readiness in AYAs with sickle cell disease prior to transition. METHODS: This cross-sectional, correlational study was conducted with 50 family caregivers-AYAs dyads receiving care from a large comprehensive sickle cell clinic between October 2019 and February 2020. Participants completed the Decision-Making Involvement Scale, the Sickle Cell Self-Efficacy Scale, and the Readiness to Transition Questionnaire. Multiple linear regression was used to assess the relationships between decision-making involvement, self-efficacy, healthcare responsibility, and overall transition readiness in AYAs with sickle cell disease prior to transition to adult healthcare. RESULTS: Whereas higher levels of expressive behaviors, such as sharing opinions and ideas in decision-making, were associated with higher levels of AYA healthcare responsibility, those behaviors were inversely associated with feelings of overall transition readiness. Self-efficacy was positively associated with overall transition readiness but inversely related to AYA healthcare responsibility. Parent involvement was negatively associated with AYA healthcare responsibility and overall transition readiness. DISCUSSION: While increasing AYAs' decision-making involvement may improve AYAs' healthcare responsibility, it may not reduce barriers of feeling unprepared for the transition to adult healthcare. Facilitating active AYA involvement in decision-making regarding disease management, increasing self-efficacy, and safely reducing parent involvement may positively influence their confidence and capacity for self-management.

Repeat hospital transfers among long stay nursing home residents: a mixed methods analysis of age, race, code status and clinical complexity.

BACKGROUND: Nursing home residents are at increased risk for hospital transfers resulting in emergency department visits, observation stays, and hospital admissions; transfers that can also result in adverse resident outcomes. Many nursing home to hospital transfers are potentially avoidable. Residents who experience repeat transfers are particularly vulnerable to adverse outcomes, yet characteristics of nursing home residents who experience repeat transfers are poorly understood. Understanding these characteristics more fully will help identify appropriate intervention efforts needed to reduce repeat transfers. METHODS: This is a mixed-methods study using hospital transfer data, collected between 2017 and 2019, from long-stay nursing home residents residing in 16 Midwestern nursing homes who transferred four or more times within a 12-month timeframe. Data were obtained from an acute care transfer tool used in the Missouri Quality Initiative containing closed- and open-ended questions regarding hospital transfers. The Missouri Quality Initiative was a Centers for Medicare and Medicaid demonstration project focused on reducing avoidable hospital transfers for long stay nursing home residents. The purpose of the analysis presented here is to describe characteristics of residents from that project who experienced repeat transfers including resident age, race, and code status. Clinical, resident/family, and organizational factors that influenced transfers were also described. RESULTS: Findings indicate that younger residents (less than 65 years of age), those who were full-code status, and those who were Black were statistically more likely to experience repeat transfers. Clinical complexity, resident/family requests to transfer, and lack of nursing home resources to manage complex clinical conditions underlie repeat transfers, many of which were considered potentially avoidable. CONCLUSIONS: Improved nursing home resources are needed to manage complex conditions in the NH and to help residents and families set realistic goals of care and plan for end of life thus reducing potentially avoidable transfers.

A qualitative study evaluating the discharge process for vascular surgery patients to identify significant themes for organizational improvement.

OBJECTIVE: Transition from the hospital to an outpatient setting is a multifaceted process requiring coordination among a variety of services and providers to ensure a high-quality discharge. Vascular surgery patients comprise a complex population that experiences high unplanned readmission rates. We performed a qualitative study to identify themes for process improvement for vascular surgery patients. A validated discharge process, RED (Re-Engineered Discharge), was used to identify additional actionable themes to create a more efficient discharge process tailored specifically to the vascular surgery population. METHODS: A prospective, qualitative analysis at a tertiary center using a semi-structured focus group interview guide was performed to evaluate the current discharge process and identify opportunities for improvement. Focus groups were Zoom recorded, transcribed into electronic text files, and were loaded into Dedoose qualitative software for analysis using a directed content analysis approach. Two researchers independently thematically coded each transcript, starting with accepted discharge components to identify new thematic categories. Prior to analysis, all redundancy of codes was resolved, and all team members agreed on text categorization and coding. RESULTS: Eight focus groups with a total of 38 participants were conducted. Participants included physicians (n = 13), nursing/ancillary staff (n = 14), advanced nurse practitioners (n = 2), social worker/dietitian/pharmacist (n = 3), and patients (n = 6). Transcript analyses revealed facilitators and barriers to the discharge process. In addition to traditional RED components, unique concepts pertinent to vascular surgery patients included patient complexity, social determinants of health, technology literacy, complexity of ancillary services, discharge appropriateness, and use of advanced nurse practitioners for continuity. CONCLUSIONS: Specific themes were identified to target and enhance the future vRED (vascular Re-Engineered Discharge) bundle. Thematic targets for improvement include increased planning, organization, and communication prior to discharge to address vascular surgery patients' multiple comorbidities, extensive medication lists, and need for complex ancillary services at the time of discharge. Other thematic barriers discovered to improve include provider awareness of patient health literacy, patient understanding of complex discharge instructions, patient technology barriers, and intrinsic social determinants of health in this population. To address these discovered barriers, organizational targets to improve include enhanced social support, the use of advanced nurse practitioners for education reinforcement, and increased coordination. These results provide a framework for future quality improvement targeting the vascular surgery discharge process.

A Call to Address RN, Social Work, and Advanced Practice Registered Nurses in Nursing Homes: Solutions From the Missouri Quality Initiative.

BACKGROUND: US nursing homes (NHs) have struggled to overcome a historic pandemic that laid bare limitations in the number and clinical expertise of NH staff. PROBLEM: For nurse staffing, current regulations require only one registered nurse (RN) on duty 8 consecutive hours per day, 7 days per week, and one RN on call when a licensed practical/vocational nurse is on duty. There is no requirement for a degreed or licensed social worker, and advanced practice registered nurses (APRNs) in NHs cannot bill for services. APPROACH: It is time to establish regulation that mandates a 24-hour, 7-day-a-week, on-site RN presence at a minimum requirement of 1 hour per resident-day that is adjusted upward for greater resident acuity and complexity. Skilled social workers are needed to improve the quality of care, and barriers for APRN billing for services in NHs need to be removed. CONCLUSIONS: Coupling enhanced RN and social work requirements with access to APRNs can support staff and residents in NHs.

Value Propositions for Health Information Exchange Toward Improving Nursing Home Hospital Readmission Rates.

The importance of health information technology use in nursing home (NH) care delivery is a major topic in research exploring methods to improve resident care. Topics of interest include how technology investments, infrastructure, and work-force development lead to better methods of nursing care delivery and outcomes. Value propositions, including perceived benefits, incentives, and system changes recognized by end-users, are important resources to inform NH leaders, policymakers, and stakeholders about technology. The purpose of the current research was to identify and disseminate value propositions from a community of stakeholders using a health information exchange (HIE). Researchers used a nominal group process, including 49 individual stakeholders participating in a national demonstration project to reduce avoidable hospitalizations in NHs. Stakeholders identified 41 total anticipated changes from using HIE. Ten stakeholder types were perceived to have experienced the highest impact from HIE in areas related to resident admissions, communication, and efficiency of care delivery. [Journal of Gerontological Nursing, 48(1), 15-20.].

Longitudinal analysis of aging in place at TigerPlace: Resident function and well-being.

This paper reports on a longitudinal eight-year analysis (2011-2019) of trajectory of function and well-being residents of TigerPlace Aging in Place (AIP) model of care. Residents were routinely assessed using standard health assessment instruments. Average scores from each measure were examined for changes or trends in resident function; decline over time was calculated. Scores for depression, mental health subscale Short Form Health Survey-12 (SF-12) remained stable over time. Mini Mental State Exam declined to mild dementia range (21-24). Physical measures SF-12 physical health subscale, ADLs, and IADLs declined slightly, while fall risk increased over time. When yearly trends in AIP were modeled with a referent group there was no significant worsening of functioning. The length of stay for TigerPlace residents continued to remain stable at nearly 30 months. Residents maintained function in the environment of their choice longer at cost less than nursing homes, and just above residential care cost.

Systematic review of approaches to use of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions.

BACKGROUND: Despite a large body of literature investigating how the environment influences health outcomes, most published work to date includes only a limited subset of the rich clinical and environmental data that is available and does not address how these data might best be used to predict clinical risk or expected impact of clinical interventions. OBJECTIVE: Identify existing approaches to inclusion of a broad set of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions. METHODS: A systematic review of scientific literature published and indexed in PubMed, Web of Science, Association of Computing Machinery (ACM) and SCOPUS from 2010 through October 2020 was performed. To be included, articles had to include search terms related to Electronic Health Record (EHR) data Neighborhood-Level Risk Factors (NLRFs), and Machine Learning (ML) Methods. Citations of relevant articles were also reviewed for additional articles for inclusion. Articles were reviewed and coded by two independent reviewers to capture key information including data sources, linkage of EHR to NRLFs, methods, and results. Articles were assessed for quality using a modified Quality Assessment Tool for Systematic Reviews of Observational Studies (QATSO). RESULTS: A total of 334 articles were identified for abstract review. 36 articles were identified for full review with 19 articles included in the final analysis. All but two of the articles included socio-demographic data derived from the U.S. Census and we found great variability in sources of NLRFs beyond the Census. The majority or the articles (14 of 19) included broader clinical (e.g. medications, labs and co-morbidities) and demographic information about the individual from the EHR in addition to the clinical outcome variable. Half of the articles (10) had a stated goal to predict the outcome(s) of interest. While results of the studies reinforced the correlative association of NLRFs to clinical outcomes, only one article found that adding NLRFs into a model with other data added predictive power with the remainder concluding either that NLRFs were of mixed value depending on the model and outcome or that NLRFs added no predictive power over other data in the model. Only one article scored high on the quality assessment with 13 scoring moderate and 4 scoring low. CONCLUSIONS: In spite of growing interest in combining NLRFs with EHR data for clinical prediction, we found limited evidence that NLRFs improve predictive power in clinical risk models. We found these data and methods are being used in four ways. First, early approaches to include broad NLRFs to predict clinical risk primarily focused on dimension reduction for feature selection or as a data preparation step to input into regression analysis. Second, more recent work incorporates NLRFs into more advanced predictive models, such as Neural Networks, Random Forest, and Penalized Lasso to predict clinical outcomes or predict value of interventions. Third, studies that test how inclusion of NLRFs predict clinical risk have shown mixed results regarding the value of these data over EHR or claims data alone and this review surfaced evidence of potential quality challenges and biases inherent to this approach. Finally, NLRFs were used with unsupervised learning to identify underlying patterns in patient populations to recommend targeted interventions. Further access to computable, high quality data is needed along with careful study design, including sub-group analysis, to better determine how these data and methods can be used to support decision making in a clinical setting.

Advance Directives in the Nursing Home Setting: An Initiative to Increase Completion and Reduce Potentially Avoidable Hospitalizations.

Advance directive (AD) completion can improve transitions between hospitals and skilled nursing facilities (SNF's). One Centers for Medicare and Medicaid Services (CMS) Innovations Demonstration Project, The Missouri Quality Initiative (MOQI), focused on improving AD documentation and use in sixteen SNF's. The intervention included education, training, consultation and improvements to discussion process, policy development, increased AD enactment, and increased community education and awareness activities. An analysis was conducted of data collected from annual chart inventories occurring over four years. Using a logistic mixed model, results indicated statistical significance (p < .001) for increased AD documentation. Greatest gains occurred at project mid-point. The relationship between having an AD and occurrence of transfer to a hospital was tested on a sample of 1,563 residents with length of stays more than 30 days. Residents who did not have an AD were 29% more likely to be transferred. A logistic regression was conducted, and the results were statistically significant (p < .02).

Reengineering Skilled Nursing Facility Discharge: Analysis of Reengineered Discharge Implementation.

BACKGROUND: There is a need to adopt evidence-based approaches to discharge planning in the skilled nursing facility (SNF) short stay population. PURPOSE: This article describes implementation of the Reengineered Discharge (RED) process in SNFs and makes recommendations for its future implementation. METHODS: The methods included a pre- and postanalysis of an 18-month RED implementation with a contemporaneous comparison of 4 Midwestern SNFs randomly assigned to 2 different RED implementation strategies. The Standard facilities received less implementation than Enhanced facilities. RESULTS: Standard SNFs made more improvements and were more satisfied with the improved process than Enhanced SNFs. Field notes revealed that corporate willingness to make process changes impacted the Standard group's capacity for change; both groups were heavily influenced by external forces, and turnover was an impediment to RED implementation. CONCLUSION: This research revealed that discharge processes are similar across settings and that evidence-based programs such as RED can be adapted to the SNF setting.

Correction to: Forecasting Content and Stage in a Nursing Home Information Technology Maturity Instrument Using a Delphi Method.

The original article unfortunately contained a mistake.

Forecasting Content and Stage in a Nursing Home Information Technology Maturity Instrument Using a Delphi Method.

Health information technology capabilities in some healthcare sectors, such as nursing homes, are not well understood because measures for information technology uptake have not been fully developed, tested, validated, or measured consistently. The paper provides a report of the development and testing of a new instrument measuring nursing home information technology maturity and stage of maturity. Methods incorporated a four round Delphi panel composed of 31 nursing home experts from across the nation who reported the highest levels of information technology sophistication in a separate national survey. Experts recommended 183 content items for 27 different content areas specifying the measure of information technology maturity. Additionally, experts ranked each of the 183 content items using an IT maturity instrument containing seven stages (stages 0-6) of information technology maturity. The majority of content items (40% (n = 74)) were associated with information technology maturity stage 4, corresponding to facilities with external connectivity capability. Over 11% of the content items were at the highest maturity stage (Stage 5 and 6). Content areas with content items at the highest stage of maturity are reflected in nursing homes that have technology available for residents or their representatives and used extensively in resident care. An instrument to assess nursing home IT maturity and stage of maturity has important implications for understanding health service delivery systems, regulatory efforts, patient safety and quality of care.

Embracing the Power of Show-Me ECHO Learning Communities to Transform Clinical Practice in Missouri.

Show-Me ECHO, a state-funded project, provides access to education within a community of learners in order to optimize healthcare for the citizens of Missouri. Through videoconferencing and case-based review, ECHO shifts professional development from learning about medical problems in isolation to experiential learning as part of a multidisciplinary team. The establishment of a statewide COVID-19 ECHO is allowing a rapid response to this novel, unprecedented, and unanticipated health care crisis. There are many ongoing opportunities for clinicians from across the state to join a Show-Me ECHO learning community as a means to elevate their practice and improve ability to respond amidst a constantly evolving health care environment.

Time-Out and Checklists: A Survey of Rural and Urban Operating Room Personnel.

Surgical safety checklists were introduced to improve patient safety. Urban and rural hospitals are influenced by differing factors, but how these factors affect patient care is unknown. This study examined time-out and checklist processes in rural and urban operating rooms and found that although checklist use has been adopted in many organizations, use is inconsistent across both settings. An understanding of these variations is needed to improve utilization.