Implementation and Evaluation of a Training Curriculum for Experienced Nurses in Care Coordination: The VA Rural Transitions Nurse Training Program.

BACKGROUND: High-quality transitional care at discharge is essential for improved patient outcomes. Registered nurses (RNs) play integral roles in transitions; however, few receive structured training. PURPOSE: We sought to create, implement, and evaluate an evidence-informed nursing transitional care coordination curriculum, the Transitions Nurse Training Program (TNTP). METHODS: We conceptualized the curriculum using adult learning theory and evaluated with the New World Kirkpatrick Model. Self-reported engagement, satisfaction, acquired knowledge, and confidence were assessed using surveys. Clinical and communication skills were evaluated by standardized patient assessment and behavior sustainment via observation 6 to 9 months posttraining. RESULTS: RNs reported high degrees of engagement, satisfaction, knowledge, and confidence and achieved a mean score of 92% on clinical and communication skills. Posttraining observation revealed skill sustainment (mean score 98%). CONCLUSIONS: Results suggest TNTP is effective for creating engagement, satisfaction, acquired and sustained knowledge, and confidence for RNs trained in transitional care.

Practices to support relational coordination in care transitions: Observations from the VA rural Transitions Nurse Program.

BACKGROUND: Ensuring safe transitions of care around hospital discharge requires effective relationships and communication between health care teams. Relational coordination (RC) is a process of communicating and relating for the purpose of task integration that predicts desirable outcomes for patients and providers. RC can be measured using a validated survey. PURPOSE: The aim of the study was to demonstrate the application of RC practices within the rural Transitions Nurse Program (TNP), a nationwide transitions of care intervention for Veterans, and assess relationships and mechanisms for developing RC in teams. METHODOLOGY/APPROACH: TNP implemented practices expected to support RC. These included creation of a transition nurse role, preimplementation site visits, process mapping to understand workflow, creation of standardized communication templates and protocols, and inclusion of teamwork and shared accountability in job descriptions and annual reviews. We used the RC Survey to measure RC for TNP health care teams. Associations between the months each site participated in TNP, number of Veterans enrolled, and adherence to the TNP intervention were assessed as possible mechanisms for developing high RC using Spearman (rs) correlations. RESULTS: The RC Survey was completed by 44 providers from 11 Veterans Health Administration medical centers. RC scores were high across sites (mean = 4.19; 1-5 Likert scale) and were positively correlated with months participating in TNP (rs = .66) and number of enrollees (rs = .63), but not with adherence to the TNP intervention (rs = .12). PRACTICE IMPLICATIONS: The impact of practices to support RC can be assessed using the RC Survey. Our findings suggest scale-up time is a likely mechanism to the development of high-quality relationships and communication within teams.

Gaps in Hospital and Skilled Nursing Facility Responsibilities During Transitions of Care: a Comparison of Hospital and SNF Clinicians' Perspectives.

BACKGROUND: Adverse outcomes are common in transitions from hospital to skilled nursing facilities (SNFs). Gaps in transitional care processes contribute to these outcomes, but it is unclear whether hospital and SNF clinicians have the same perception about who is responsible for filling these gaps in care transitions. OBJECTIVE: We sought to understand the perspectives of hospital and SNF clinicians on their roles and responsibilities in transitional care processes, to identify areas of congruence and gaps that could be addressed to improve transitions. DESIGN: Semi-structured interviews with interdisciplinary hospital and SNF providers. PARTICIPANTS: Forty-one clinicians across 3 hospitals and 3 SNFs including nurses (8), social workers (7), physicians (8), physical and occupational therapists (12), and other staff (6). APPROACH: Using team-based approach to deductive analysis, we mapped responses to the 10 domains of the Ideal Transitions of Care Framework (ITCF) to identify areas of agreement and gaps between hospitals and SNFs. KEY RESULTS: Although both clinician groups had similar conceptions of an ideal transitions of care, their perspectives included significant gaps in responsibilities in 8 of the 10 domains of ITCF, including Discharge Planning; Complete Communication of Information; Availability, Timeliness, Clarity and Organization of Information; Medication Safety; Educating Patients to Promote Self-Management; Enlisting Help of Social and Community Supports; Coordinating Care Among Team Members; and Managing Symptoms After Discharge. CONCLUSIONS: As hospitals and SNFs increasingly are held jointly responsible for the outcomes of patients transitioning between them, clarity in roles and responsibilities between hospital and SNF staff are needed. Improving transitions of care may require site-level efforts, joint hospital-SNF initiatives, and national financial, regulatory, and technological fixes. In the meantime, building effective hospital-SNF partnerships is increasingly important to delivering high-quality care to a vulnerable older adult population.

Operationalizing an Implementation Framework to Disseminate a Care Coordination Program for Rural Veterans.

OBJECTIVE: Understanding how to successfully implement care coordination programs across diverse settings is critical for disseminating best practices. We describe how we operationalized the Practical Robust Implementation and Sustainability Model (PRISM) to guide the assessment of local context prior to implementation of the rural Transitions Nurse Program (TNP) at five facilities across the Veterans Health Administration (VHA). METHODS: We operationalized PRISM to create qualitative data collection techniques (interview guides, semi-structured observations, and a group brainwriting premortem) to assess local context, the current state of care coordination, and perceptions of TNP prior to implementation at five facilities. We analyzed data using deductive-inductive framework analysis to identify themes related to PRISM. We adapted implementation strategies at each site using these findings. RESULTS: We identified actionable themes within PRISM domains to address during implementation. The most commonly occurring PRISM domains were "organizational characteristics" and "implementation and sustainability infrastructure." Themes included a disconnect between primary care and hospital inpatient teams, concerns about work duplication, and concerns that one nurse could not meet the demand for the program. These themes informed TNP implementation. CONCLUSIONS: The use of PRISM for pre-implementation site assessments yielded important findings that guided adaptations to our implementation approach. Further, barriers and facilitators to TNP implementation may be common to other care coordination interventions. Generating a common language of barriers and facilitators in care coordination initiatives will enhance generalizability and establish best practices. IMPACT STATEMENTS: TNP is a national intensive care coordination program targeting rural Veterans. We operationalized PRISM to guide implementation efforts. We effectively elucidated facilitators, barriers, and unique contextual factors at diverse VHA facilities. The use of PRISM enhances the generalizability of findings across care settings and may optimize implementation of care coordination interventions in the VHA.

Practical Use of Process Mapping to Guide Implementation of a Care Coordination Program for Rural Veterans.

BACKGROUND: Transitions of care are high risk for vulnerable populations such as rural Veterans, and adequate care coordination can alleviate many risks. Single-center care coordination programs have shown promise in improving transitional care practices. However, best practices for implementing effective transitional care interventions are unknown, and a common pitfall is lack of understanding of the current process at different sites. The rural Transitions Nurse Program (TNP) is a Veterans Health Administration (VA) intervention that addresses the unique transitional care coordination needs of rural Veterans, and it is currently being implemented in five VA facilities. OBJECTIVE: We sought to employ and study process mapping as a tool for assessing site context prior to implementation of TNP, a new care coordination program. DESIGN AND PARTICIPANTS: Observational qualitative study guided by the Lean Six Sigma approach. Data were collected in January-March 2017 through interviews, direct observations, and group sessions with front-line staff, including VA providers, nurses, and administrative staff from five VA Medical Centers and nine rural Patient-Aligned Care Teams. KEY RESULTS: We integrated key informant interviews, observational data, and group sessions to create ten process maps depicting the care coordination process prior to TNP implementation at each expansion site. These maps were used to adapt implementation through informing the unique role of the Transitions Nurse at each site and will be used in evaluating the program, which is essential to understanding the program's impact. CONCLUSIONS: Process mapping can be a valuable and practical approach to accurately assess site processes before implementation of care coordination programs in complex systems. The process mapping activities were useful in engaging the local staff and simultaneously guided adaptations to the TNP intervention to meet local needs. Our approach-combining multiple data sources while adapting Lean Six Sigma principles into practical use-may be generalizable to other care coordination programs.

Coordinating Care Across VA Providers and Settings: Policy and Research Recommendations from VA's State of the Art Conference.

Delivering well-coordinated care is essential for optimizing clinical outcomes, enhancing patient care experiences, minimizing costs, and increasing provider satisfaction. The Veterans Health Administration (VA) has built a strong foundation for internally coordinating care. However, VA faces mounting internal care coordination challenges due to growth in the number of Veterans using VA care, high complexity in Veterans' care needs, the breadth and depth of VA services, and increasing use of virtual care. VA's Health Services Research and Development service with the Office of Research and Development held a conference assessing the state-of-the-art (SOTA) on care coordination. One workgroup within the SOTA focused on coordination between VA providers for high-need Veterans, including (1) Veterans with multiple chronic conditions; (2) Veterans with high-intensity, focused, specialty care needs; (3) Veterans experiencing care transitions; (4) Veterans with severe mental illness; (5) and Veterans with homelessness and/or substance use disorders. We report on this workgroup's recommendations for policy and organizational initiatives and identify questions for further research. Recommendations from a separate workgroup on coordinating VA and non-VA care are contained in a companion paper. Leaders from research, clinical services, and VA policy will need to partner closely as they develop, implement, assess, and spread effective practices if VA is to fully realize its potential for delivering highly coordinated care to every Veteran.

Nurses' Role in Managing "The Fit" of Older Adults in Skilled Nursing Facilities.

Post-acute care for older adults often involves transfer to a skilled nursing facility (SNF) following hospital discharge. This transition is often poorly coordinated and leaves older adults at risk for poor health outcomes, but new payment models offer opportunities to align improved care practices with payments. There is a dearth of evidence regarding the role of nursing and its potential to improve hospital to SNF care transitions. Ninety-nine semi-structured interviews were conducted with clinicians, patients, and caregivers from three hospitals and three SNFs. Results indicate a sharp contrast in the roles of hospital nurses-who are often silent partners in post-acute care decision making-and SNF nurses, who take a primary role as managing "the fit" for patients transitioning to a SNF. Nurses are uniquely positioned to make needed changes to culture to adapt to new payment models and improve patient outcomes. [Journal of Gerontological Nursing, 43(12), 11-20.].

Identifying keys to success in reducing readmissions using the ideal transitions in care framework.

BACKGROUND: Systematic attempts to identify best practices for reducing hospital readmissions have been limited without a comprehensive framework for categorizing prior interventions. Our research aim was to categorize prior interventions to reduce hospital readmissions using the ten domains of the Ideal Transition of Care (ITC) framework, to evaluate which domains have been targeted in prior interventions and then examine the effect intervening on these domains had on reducing readmissions. METHODS: Review of literature and secondary analysis of outcomes based on categorization of English-language reports published between January 1975 and October 2013 into the ITC framework. RESULTS: 66 articles were included. Prior interventions addressed an average of 3.5 of 10 domains; 41% demonstrated statistically significant reductions in readmissions. The most common domains addressed focused on monitoring patients after discharge, patient education, and care coordination. Domains targeting improved communication with outpatient providers, provision of advanced care planning, and ensuring medication safety were rarely included. Increasing the number of domains included in a given intervention significantly increased success in reducing readmissions, even when adjusting for quality, duration, and size (OR per domain, 1.5, 95% CI 1.1 - 2.0). The individual domains most associated with reducing readmissions were Monitoring and Managing Symptoms after Discharge (OR 8.5, 1.8 - 41.1), Enlisting Help of Social and Community Supports (OR 4.0, 1.3 - 12.6), and Educating Patients to Promote Self-Management (OR 3.3, 1.1 - 10.0). CONCLUSIONS: Interventions to reduce hospital readmissions are frequently unsuccessful; most target few domains within the ITC framework. The ITC may provide a useful framework to consider when developing readmission interventions.

Automated Text Message-Based Program and Use of Acute Health Care Resources After Hospital Discharge: A Randomized Clinical Trial.

Importance: Postdischarge outreach from the primary care practice is an important component of transitional care support. The most common method of contact is via telephone call, but calls are labor intensive and therefore limited in scope. Objective: To test whether a 30-day automated texting program to support primary care patients after hospital discharge reduces acute care revisits. Design, Setting, and Participants: A 2-arm randomized clinical trial was conducted from March 29, 2022, through January 5, 2023, at 30 primary care practices within a single academic health system in Philadelphia, Pennsylvania. Patients were followed up for 60 days after discharge. Investigators were blinded to assignment, but patients and practice staff were not. Participants included established patients of the study practices who were aged 18 years or older, discharged from an acute care hospitalization, and considered medium to high risk for adverse health events by a health system risk score. All analyses were conducted using an intention-to-treat approach. Intervention: Patients in the intervention group received automated check-in text messages from their primary care practice on a tapering schedule for 30 days following discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. Patients in the control group received a standard transitional care management telephone call from their practice within 2 business days of discharge. Main Outcomes and Measures: The primary study outcome was any acute care revisit (readmission or emergency department visit) within 30 days of discharge. Results: Of the 4736 participants, 2824 (59.6%) were female; the mean (SD) age was 65.4 (16.5) years. The mean (SD) length of index hospital stay was 5.5 (7.9) days. A total of 2352 patients were randomized to the intervention arm and 2384 were randomized to the control arm. There were 557 (23.4%) acute care revisits in the control group and 561 (23.9%) in the intervention group within 30 days of discharge (risk ratio, 1.02; 95% CI, 0.92-1.13). Among the patients in the intervention arm, 79.5% answered at least 1 message and 41.9% had at least 1 need identified. Conclusions and Relevance: In this randomized clinical trial of a 30-day postdischarge automated texting program, there was no significant reduction in acute care revisits. Trial Registration: ClinicalTrials.gov Identifier: NCT05245773.

High-intensity home health physical therapy among older adult Veterans: A randomized controlled trial.

BACKGROUND: Older adult Veterans are at high risk for adverse health outcomes following hospitalization. Since physical function is one of the largest potentially modifiable risk factors for adverse health outcomes, our purpose was to determine if progressive, high-intensity resistance training in home health physical therapy (PT) improves physical function in Veterans more than standardized home health PT and to determine if the high-intensity program was comparably safe, defined as having a similar number of adverse events. METHODS: We enrolled Veterans and their spouses during an acute hospitalization who were recommended to receive home health care on discharge because of physical deconditioning. We excluded individuals who had contraindications to high-intensity resistance training. A total of 150 participants were randomized 1:1 to either (1) a progressive, high-intensity (PHIT) PT intervention or (2) a standardized PT intervention (comparison group). All participants in both groups were assigned to receive 12 visits (3 visits/week over 30 days) in their home. The primary outcome was gait speed at 60 days. Secondary outcomes included adverse events (rehospitalizations, emergency department visits, falls and deaths after 30 and 60-days), gait speed, Modified Physical Performance Test, Timed Up-and-Go, Short Physical Performance Battery, muscle strength, Life-Space Mobility assessment, Veterans RAND 12-item Health Survey, Saint Louis University Mental Status exam, and step counts at 30, 60, 90, 180 days post-randomization. RESULTS: There were no differences between groups in gait speed at 60 days, and no significant differences in adverse events between groups at either time point. Similarly, physical performance measures and patient reported outcomes were not different at any time point. Notably, participants in both groups experienced increases in gait speed that met or exceeded established clinically important thresholds. CONCLUSIONS: Among older adult Veterans with hospital-associated deconditioning and multimorbidity, high-intensity home health PT was safe and effective in improving physical function, but not found to be more effective than a standardized PT program.

Effectiveness of the rural transitions nurse program for Veterans: A multicenter implementation study.

BACKGROUND: Veterans are often transferred from rural areas to urban VA Medical Centers for care. The transition from hospital to home is vulnerable to postdischarge adverse events. OBJECTIVE: To evaluate the effectiveness of the rural Transitions Nurse Program (TNP). DESIGN, SETTING, AND PARTICIPANTS: National hybrid-effectiveness-implementation study, within site propensity-matched cohort in 11 urban VA hospitals. 3001 Veterans were enrolled in TNP from April 2017 to September 2019, and 6002 matched controls. INTERVENTION AND OUTCOMES: The intervention was led by a transitions nurse who assessed discharge readiness, provided postdischarge communication with primary care providers (PCPs), and called the Veteran within 72 h of discharge home to assess needs, and encourage follow-up appointment attendance. Controls received usual care. The primary outcomes were PCP visits within 14 days of discharge and all-cause 30-day readmissions. Secondary outcomes were 30-day emergency department (ED) visits and 30-day mortality. Patients were matched by length of stay, prior hospitalizations and PCP visits, urban/rural status, and 32 Elixhauser comorbidities. RESULTS: The 3001 Veterans enrolled in TNP were more likely to see their PCP within 14 days of discharge than 6002 matched controls (odds ratio = 2.24, 95% confidence interval [CI] = 2.05-2.45). TNP enrollment was not associated with reduced 30-day ED visits or readmissions but was associated with reduced 30-day mortality (hazard ratio = 0.33, 95% CI = 0.21-0.53). PCP and ED visits did not have a significant mediating effect on outcomes. The observational design, potential selection bias, and unmeasurable confounders limit causal inference. CONCLUSIONS: TNP was associated with increased postdischarge follow-up and a mortality reduction. Further investigation to understand the reduction in mortality is needed.

Differences in transitional care processes among high-performing and low-performing hospital-SNF pairs: a rapid ethnographic approach.

BACKGROUND: Despite the increased focus on improving patient's postacute care outcomes, best practices for reducing readmissions from skilled nursing facilities (SNFs) are unclear. The objective of this study was to observe processes used to prepare patients for postacute care in SNFs, and to explore differences between hospital-SNF pairs with high or low 30-day readmission rates. DESIGN: We used a rapid ethnographic approach with intensive multiday observations and key informant interviews at high-performing and low-performing hospitals, and their most commonly used SNF. We used flow maps and thematic analysis to describe the process of hospitals discharging patients to SNFs and to identify differences in subprocesses used by high-performing and low-performing hospitals. SETTING AND PARTICIPANTS: Hospitals were classified as high or low performers based on their 30-day readmission rates from SNFs. The final sample included 148 hours of observations with 30 clinicians across four hospitals (n=2 high performing, n=2 low performing) and corresponding SNFs (n=5). FINDINGS: We identified variation in five major processes prior to SNF discharge that could affect care transitions: recognising need for postacute care, deciding level of care, selecting an SNF, negotiating patient fit and coordinating care with SNF. During each stage, high-performing sites differed from low-performing sites by focusing on: (1) earlier, ongoing, systematic identification of high-risk patients; (2) discussing the decision to go to an SNF as an iterative team-based process and (3) anticipating barriers with knowledge of transitional and SNF care processes. CONCLUSION: Identifying variations in processes used to prepare patients for SNF provides critical insight into the best practices for transitioning patients to SNFs and areas to target for improving care of high-risk patients.

Training registered nurses to conduct pre-implementation assessment to inform program scale-up: an example from the rural Transitions Nurse Program.

OBJECTIVES: Adapting evidence-based practices to local settings is critical for successful implementation and dissemination. A pre-implementation assessment evaluates local context to inform implementation, but there is little published guidance for clinician-implementers. The rural Transitions Nurse Program (TNP) is a care coordination intervention that facilitates care transitions for rural veterans. In year 1 of TNP, pre-implementation assessments were conducted by a centralized project team through multi-day visits at five sites nationwide. In year 2, we tested if local site TNP nurses could conduct pre-implementation assessments using evidence-based tools and coaching from the TNP team. This required developing a multicomponent pre-implementation strategy bundle to guide data collection and synthesis. We hypothesized that (1) nurses would find the pre-implementation assessment useful for tailoring TNP to local contexts and (2) nurses would identify similar barriers and facilitators to those identified at first year sites. METHODS: The bundle included guides for conducting key informant interviews, brainwriting, process mapping, and reflective journaling. We evaluated TNP nurse satisfaction and perceived utility of the structure and process of the training and bundle through pre-post surveys. To assess the outcome of data collection efforts, we interviewed nurses 4 months after completion of the pre-implementation assessment to determine if and how they used pre-implementation findings to tailor implementation of TNP to local contexts. To further assess outcomes, all data that the nurses collected were analyzed thematically. Themes related to barriers and facilitators were compared across years. FINDINGS: Five nurses at different VA medical centers used the pre-implementation strategy bundle to collect site-level data and completed pre-post surveys. Findings indicated that the pre-implementation assessment was highly recommended, and the bundle provided adequate training. Nurses felt that pre-implementation work oriented them to the local context and illustrated how to integrate TNP into existing processes. Barriers and facilitators identified by nurses were similar to those collected in year 1 by the TNP research team, including communication challenges, need for buy-in, and logistical concerns. CONCLUSIONS: This proof-of-concept study suggests that evidence-based tools can effectively guide clinician-implementers through the process of conducting a pre-implementation assessment. This approach positively informed TNP implementation and oriented nurses to their local context prior to implementation.

How Context Influences Hospital Readmissions from Skilled Nursing Facilities: A Rapid Ethnographic Study.

INTRODUCTION: Improving hospital discharge processes and reducing adverse outcomes after hospital discharge to skilled nursing facilities (SNFs) are gaining national recognition. However, little is known about how the social-contextual factors of hospitals and their affiliated SNFs may influence the discharge process and drive variations in patient outcomes. We sought to categorize contextual drivers that vary between high- and low-performing hospitals in older adult transition from hospitals to SNFs. DESIGN: To identify contextual drivers, we used a rapid ethnographic approach with interviews and direct observations of hospital and SNF clinicians involved in discharging patients. We conducted thematic analysis to categorize contextual factors and compare differences in high- and low-performing sites. SETTING AND PARTICIPANTS: We stratified hospitals on 30-day hospital readmission rates from SNFs and used convenience sampling to identify high- and low-performing sites and associated SNFs. The final sample included 4 hospitals (n = 2 high performing, n = 2 low performing) and affiliated SNFs (n = 5) with 148 hours of observations. MEASURES: Central themes related to how contextual factors influence variations in high- and low-performing hospitals. RESULTS: We identified 3 main contextual factors that differed across high- and low-performing hospitals and SNFs: team dynamics, patient characteristics, and organizational context. First, we observed high-quality communication, situational awareness, and shared mental models among team members in high-performing sites. Second, the types of patients cared for at high-performing hospitals had better insurance coverage that made it feasible for clinicians to place patients based on their needs instead of financial abilities. Third, at high-performing hospitals a more engaged staff in the transition process and building rapport with SNFs characterized smooth transitions from hospitals to SNFs. CONCLUSIONS AND IMPLICATIONS: Contextual factors distinguish high- and low-performing hospitals in transitions to SNF and can be used to develop interventions to reduce adverse outcomes in transitions.

Association of Discharge to Home vs Institutional Postacute Care With Outcomes After Lower Extremity Joint Replacement.

Importance: Changes in financial incentives have led to more patients being discharged home than to institutional forms of postacute care, such as skilled nursing facilities (SNFs), after elective lower extremity total joint replacement (LEJR). Objective: To evaluate the association of this change with hospital readmissions, surgical complications, and mortality. Design, Setting, and Participants: This cohort study used cross-temporal propensity-matching to identify 104 828 adult patients who were discharged home following LEJR between 2016 and 2018 (after changes in financial incentives) and 84 121 adult patients discharged to institutional forms of postacute care (eg, SNFs) between 2011 and 2013 (before changes in financial incentives). A difference-in-differences design was used to compare differences in outcomes between these groups to a propensity-matched group of patients discharged to institutional postacute care in both periods. Data were collected from Pennsylvania all-payer claims database, which includes all surgical procedures and hospitalizations across payers and hospitals in Pennsylvania. Data were analyzed between August 2019 and February 2020. Exposures: Type of postacute care (home, including home with home health vs institutional postacute care, including SNF, inpatient rehabilitation facilities, and long-term acute care hospitals). Main Outcomes and Measures: Main outcomes were 30- and 90-day hospital readmissions, LEJR complication rates, and mortality rates. Results: Of 189 949 patients, 113 981 (60.0%) were women, and 83 444 (43.9%) were aged 40 to 64 years. The rate of discharge home increased from 63.6% (54 097 of 85 121) in 2011 to 2013 to 78.4% (82 199 of 104 828) in 2016 to 2018. In the adjusted difference-in-differences comparison, matched patients discharged home in 2016 to 2018 had significantly lower 30-day (difference, -2.9%; 95% CI, -4.2% to -1.6%) and 90-day (difference, -3.9%; 95% CI, -5.8% to -2.0%) readmission rates compared with similar patients sent to institutional postacute care in 2011 to 2013. Surgical complication and mortality rates were unchanged. Results were similar across payers and across hospital bundled payment participation status. Conclusions and Relevance: In this cohort study, increases in discharges home following LEJR surgery did not seem to be associated with increased harm during a period in which changes in financial incentives likely spurred observed changes in postacute care.

Perspectives of Clinicians, Staff, and Veterans in Transitioning Veterans from non-VA Hospitals to Primary Care in a Single VA Healthcare System.

BACKGROUND: Veterans with healthcare needs utilize both Veterans Health Administration (VA) and non-VA hospitals. These dual-use veterans are at high risk of adverse outcomes due to the lack of coordination for safe transitions. OBJECTIVES: The aim of this study was to understand the barriers and facilitators to providing high-quality continuum of care for veterans transitioning from non-VA hospitals to the VA primary care setting. DESIGN: Guided by the practical robust implementation and sustainability model (PRISM) and the ideal transitions of care, we conducted a qualitative assessment using semi-structured interviews with clinicians, staff, and patients. SETTING: This study was conducted at a single urban VA medical center and two non-VA hospitals. PARTICIPANTS: A total of 70 participants, including 52 clinicians and staff (23 VA and 29 non-VA) involved in patient transition and 18 veterans recently discharged from non-VA hospitals, were included in this study. APPROACH: Data were analyzed using a conventional content analysis and managed in Atlas.ti (Berlin, Germany). RESULTS: Four major themes emerged where participants consistently discussed that transitions were delayed when they were not able to (1) identify patients as veterans and notify VA primary care of discharge, (2) transfer non-VA hospital medical records to VA primary care, (3) obtain follow-up care appointments with VA primary care, and (4) write VA formulary medications for veterans that they could fill at VA pharmacies. Participants also discussed factors involved in smooth transition and recommendations to improve care coordination. CONCLUSIONS: All participants perceived the current transition-of-care process across healthcare systems to be inefficient. Efforts to improve quality and safety in transitional care should address the challenges clinicians and patients experience when transitioning from non-VA hospitals to VA primary care.

Improving the Transition of Care Process for Veterans Hospitalized at Non-VHA Facilities.

Veterans receiving primary care through the Veterans Health Administration (VHA) are at increased risk of adverse outcomes when transitioning from a non-VHA hospitalization to VHA primary care. We intervened to improve these care transitions through identifying Veterans at a partnered community hospital, use of a multidisciplinary patient-structured discharge information sheet for community case managers to effectively communicate with VHA clinics, and implementation of a VHA site process for receiving information. We evaluated the intervention on two endpoints: the percentage-relevant documentation was received at the VHA before follow-up appointment and the rate Veterans attended a follow-up appointment at the VHA. Rates for receiving transitions of care documents were as follows: 0% preintervention (N = 24), 16% in the first 6 months of intervention (N = 39), and 83% after plan-do-study-act cycles in the second 6 months (N = 41). Veteran follow-up attendance also improved 25% preintervention to 54% and 71%, respectively. This process could serve as a model for transitions of care improvement.

Hospital Readmission From the Perspective of Medicaid and Uninsured Patients.

BACKGROUND: Patients with little or no health insurance are frequently readmitted to the hospital, yet few previous studies have listened to patients' explanations of why they returned to the hospital after discharge. Enhanced understanding of patient perspectives may facilitate targeted services and improve care. METHODS: We enrolled 18 patients with Medicaid or no insurance during a hospital readmission within 30 days in a major metropolitan area, and conducted semi-structured qualitative interviews to explore the impact of patients' experiences around readmission using a grounded theory approach. RESULTS: We identified five themes contributing to readmission: (1) therapeutic misalignment; (2) accountability; (3) social fragility; (4) access failures; and (5) disease behavior. Medical conditions were complicated by social influences and insufficiently addressed by our health system. Patients understood the need to manage their own health but were unable to effectively execute care plans because of competing life demands and compromised relationships with health providers. CONCLUSIONS: Our study using interviews of readmitted Medicaid and uninsured patients revealed complex illnesses complicated by social instability and health system failures. Improved patient-provider trust and shared decision-making, while addressing social determinants and expanding care coordination with community partners, provide opportunity to better meet patients' needs and decrease hospital readmission in high-risk patients.