Aiming to Improve Readmissions Through InteGrated Hospital Transitions (AIRTIGHT): a Pragmatic Randomized Controlled Trial

Impact of Referring High-Risk Patients to Intensive Outpatient Primary Care Services: A Propensity Score-Matched Analysis

BACKGROUND

Many healthcare systems have implemented intensive outpatient primary care programs with the hopes of reducing healthcare costs.

OBJECTIVE

The Veterans Health Administration (VHA) piloted primary care intensive management (PIM) for patients at high risk for hospitalization or death, or "high-risk." We evaluated whether a referral model would decrease high-risk patient costs.

DESIGN

Retrospective cohort study using a quasi-experimental design comparing 456 high-risk patients referred to PIM from October 2017 to September 2018 to 415 high-risk patients matched on propensity score.

PARTICIPANTS

Veterans in the top 10th percentile of risk for 90-day hospitalization or death and recent hospitalization or emergency department (ED) visit.

INTERVENTION

PIM consisted of interdisciplinary teams that performed comprehensive assessments, intensive case management, and care coordination services.

MAIN OUTCOMES AND MEASURES

Change in VHA and non-VHA outpatient utilization, inpatient admissions, and costs 12 months pre- and post-index date.

KEY RESULTS

Of the 456 patients referred to PIM, 301 (66%) enrolled. High-risk patients referred to PIM had a marginal reduction in ED visits (- 0.7; [95% CI - 1.50 to 0.08]; p = 0.08) compared to propensity-matched high-risk patients; overall outpatient costs were similar. High-risk patients referred to PIM had similar number of medical/surgical hospitalizations (- 0.2; [95% CI, - 0.6 to 0.16]; p = 0.2), significant increases in length of stay (6.36; [CI, - 0.01 to 12.72]; p = 0.05), and higher inpatient costs ($22,628, [CI, $3587 to $41,669]; p = 0.02) than those not referred to PIM.

CONCLUSIONS AND RELEVANCE

VHA intensive outpatient primary care was associated with higher costs. Referral to intensive case management programs targets the most complex patients and may lead to increased utilization and costs, particularly in an integrated healthcare setting with robust patient-centered medical homes.

TRIAL REGISTRATION

PIM 2.0: Patient Aligned Care Team (PACT) Intensive Management (PIM) Project (PIM2). NCT04521816. https://clinicaltrials.gov/study/NCT04521816.

Non-emergency department (ED) interventions to reduce ED utilization: a scoping review

BACKGROUND

Emergency department (ED) crowding is a global burden. Interventions to reduce ED utilization have been widely discussed in the literature, but previous reviews have mainly focused on specific interventions or patient groups within the EDs. The purpose of this scoping review was to identify, summarize, and categorize the various types of non-ED-based interventions designed to reduce unnecessary visits to EDs.

METHODS

This scoping review followed the JBI Manual for Evidence Synthesis and the PRISMA-SCR checklist. A comprehensive structured literature search was performed in the databases MEDLINE and Embase from 2008 to March 2024. The inclusion criteria covered studies reporting on interventions outside the ED that aimed to reduce ED visits. Two reviewers independently screened the records and categorized the included articles by intervention type, location, and population.

RESULTS

Among the 15,324 screened records, we included 210 studies, comprising 183 intervention studies and 27 systematic reviews. In the primary studies, care coordination/case management or other care programs were the most commonly examined out of 15 different intervention categories. The majority of interventions took place in clinics or medical centers, in patients' homes, followed by hospitals and primary care settings - and targeted patients with specific medical conditions.

CONCLUSION

A large number of studies have been published investigating interventions to mitigate the influx of patients to EDs. Many of these targeted patients with specific medical conditions, frequent users and high-risk patients. Further research is needed to address other high prevalent groups in the ED - including older adults and mental health patients (who are ill but may not need the ED). There is also room for further research on new interventions to reduce ED utilization in low-acuity patients and in the general patient population.

Transitional Care Interventions From Hospital to Community to Reduce Health Care Use and Improve Patient Outcomes: A Systematic Review and Network Meta-Analysis

Importance

Discharge from the hospital to the community has been associated with serious patient risks and excess service costs.

Objective

To evaluate the comparative effectiveness associated with transitional care interventions with different complexity levels at improving health care utilization and patient outcomes in the transition from the hospital to the community.

Data Sources

CENTRAL, Embase, MEDLINE, and PsycINFO were searched from inception until August 2022.

Study Selection

Randomized clinical trials evaluating transitional care interventions from hospitals to the community were identified.

Data Extraction and Synthesis

At least 2 reviewers were involved in all data screening and extraction. Random-effects network meta-analyses and meta-regressions were applied. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed.

Main Outcomes and Measures

The primary outcomes were readmission at 30, 90, and 180 days after discharge. Secondary outcomes included emergency department visits, mortality, quality of life, patient satisfaction, medication adherence, length of stay, primary care and outpatient visits, and intervention uptake.

Results

Overall, 126 trials with 97 408 participants were included, 86 (68%) of which were of low risk of bias. Low-complexity interventions were associated with the most efficacy for reducing hospital readmissions at 30 days (odds ratio [OR], 0.78; 95% CI, 0.66 to 0.92) and 180 days (OR, 0.45; 95% CI, 0.30 to 0.66) and emergency department visits (OR, 0.68; 95% CI, 0.48 to 0.96). Medium-complexity interventions were associated with the most efficacy at reducing hospital readmissions at 90 days (OR, 0.64; 95% CI, 0.45 to 0.92), reducing adverse events (OR, 0.42; 95% CI, 0.24 to 0.75), and improving medication adherence (standardized mean difference [SMD], 0.49; 95% CI, 0.30 to 0.67) but were associated with less efficacy than low-complexity interventions for reducing readmissions at 30 and 180 days. High-complexity interventions were most effective for reducing length of hospital stay (SMD, -0.20; 95% CI, -0.38 to -0.03) and increasing patient satisfaction (SMD, 0.52; 95% CI, 0.22 to 0.82) but were least effective for reducing readmissions at all time periods. None of the interventions were associated with improved uptake, quality of life (general, mental, or physical), or primary care and outpatient visits.

Conclusions and Relevance

These findings suggest that low- and medium-complexity transitional care interventions were associated with reducing health care utilization for patients transitioning from hospitals to the community. Comprehensive and consistent outcome measures are needed to capture the patient benefits of transitional care interventions.

Readmission outcomes following infectious hospitalization: same-care unit performed better than different-care unit

BACKGROUND

Previous studies showed that same-hospital readmission is associated with better outcomes than different-hospital readmission. However, little is known about whether readmission to the same care unit (same-care unit readmission) after infectious hospitalization performs better than readmission to a different care unit at the same hospital (different-care unit readmission).

METHODS

This retrospective study screened patients rehospitalized within 30 days following admission to two acute medical wards for infectious diseases from 2013 to 2015 and included only those readmitted for unplanned medical reasons. Outcomes of interest included hospital mortality and length of stay of readmitted patients.

RESULTS

Three hundred and fifteen patients were included; of those, 149(47%) and 166(53%) were classified as same-care unit and different-care unit readmissions, respectively. Same-care unit patients were more likely to be older(76 years vs. 70 years; P = 0.001), have comorbid chronic kidney disease(20% vs. 9%; P = 0.008), and have a shorter time to readmission(13 days vs. 16 days; P = 0.020) than different-care unit patients. Univariate analysis showed that same-care unit patients had a shorter length of stay than different-care unit patients(13 days vs. 18 days; P = 0.001), but had similar hospital mortality(20% vs. 24%; P = 0.385). The multivariable linear regression model indicated that same-care unit readmission was associated with a 5-day shorter hospital stay than different-care unit readmission(P = 0.002).

CONCLUSION

Among patients readmitted within 30 days after hospitalization for infectious diseases, same-care unit readmission was associated with a shorter length of hospital stay than different-care unit readmission. Whenever feasible, it is encouraged to allocate a readmitted patient to the same care unit in hope of pursuing continuity and quality of care.

Pragmatic Clinical Trial to Improve Patient Experience Among Adults During Transitions from Hospital to Home: the PArTNER study

INTRODUCTION

Minority-serving hospitals (MSHs) need evidence-based strategies tailored to the populations they serve to improve patient-centered outcomes after hospitalization.

METHODS

We conducted a pragmatic randomized clinical trial (RCT) from October 2014 to January 2017 at a MSH comparing the effectiveness of a stakeholder-supported Navigator intervention vs. Usual care on post-hospital patient experience, outcomes, and healthcare utilization. Community health workers and peer coaches delivered the intervention which included (1) in-hospital visits to assess barriers to health/healthcare and to develop a personalized Discharge Patient Education Tool (DPET); (2) a home visit to review the DPET; and (3) telephone-based peer coaching. The co-primary outcomes were between-group comparisons of 30-day changes in Patient-Reported Outcomes Measurement Information System (PROMIS) measures of anxiety and informational support (minimum important difference is 2 to 5 units change); a p-value <0.025 was considered significant using intention-to-treat analysis. Secondary outcomes included death, ED visits, or readmissions and measures of emotional, social, and physical health at 30 and 60 days.

RESULTS

We enrolled 1029 adults hospitalized with heart failure (28%), pneumonia (22%), MI (10%), COPD (11%), or sickle cell disease (29%). Over 80% were non-Hispanic Black. Overall, there were no significant between-group differences in the 30-day change in anxiety (adjusted difference: -1.6, 97.5% CI -3.3 to 0.1, p=0.03), informational support (adjusted difference: -0.01, 97.5% CI -2.0 to 1.9, p=0.99), or any secondary outcomes. Exploratory analyses suggested the Navigator intervention improved anxiety among participants with COPD, a primary care provider, a hospitalization in the past 12 months, or higher baseline anxiety; among participants without health insurance, the intervention improved informational support (all p-values <0.05).

CONCLUSIONS

In this pragmatic RCT at a MSH, the Navigator intervention did not improve post-hospital anxiety, informational support, or other outcomes compared to Usual care. Benefits observed in participant subgroups should be confirmed in future studies.

TRIAL REGISTRATION

Clinicaltrials.gov identifier: NCT02114515.

Post-discharge early assessment with remote video link (PEARL) initiative for patients discharged from hospital medicine services

OBJECTIVES

The COVID-19 pandemic impacted the availability and accessibility of outpatient care following hospital discharge. Hospitalists (physicians) and hospital medicine advanced practice providers (HM-APPs) coordinate discharge care of hospitalized patients; however, it is unknown if they can deliver post-discharge virtual care and overcome barriers to outpatient care. The objective was to develop and provide post-discharge virtual care for patients discharged from hospital medicine services.

METHODS

We developed the Post-discharge Early Assessment with Remote video Link (PEARL) initiative for HM-APPs to conduct a post-discharge video visit (to review recommendations) and telephone follow-up (to evaluate adherence) with patients 2-6 days following hospital discharge. Participants included patients discharged from hospital medicine services at an institution's hospitals in Rochester (May 2020-August 2020) and Austin (November 2020-February 2021) in Minnesota, US. HM-APPs also interviewed patients about their experience with the video visit and completed a survey on their experience with PEARL.

RESULTS

Of 386 eligible patients, 61.4% were enrolled (n = 237/386) including 48.1% women (n = 114/237). In patients with complete video visit and telephone follow-up (n = 141/237), most were prescribed new medications (83.7%) and took them as prescribed (93.2%). Among five classes of chronic medications, patient-reported adherence ranged from 59.2% (narcotics) to 91.5% (anti-hypertensives). Patient-reported self-management of 12 discharge recommendations ranged from 40% (smoking cessation) to 100% (checking rashes). Patients reported benefit from the video visit (agree: 77.3%) with an equivocal preference for video visits over clinic visits. Among HM-APPs who responded to the survey (88.2%; n = 15/17), 73.3% reported benefit from visual contact with patients but were uncertain if video visits would reduce emergency department visits.

CONCLUSION

In this novel initiative, HM-APPs used video visits to provide care beyond their hospital role, reinforce discharge recommendations for patients, and reduce barriers to outpatient care. The effect of this initiative is under evaluation in a randomized controlled trial.

Quality Measures for Patients at Risk of Adverse Outcomes in the Veterans Health Administration: Expert Panel Recommendations

IMPORTANCE

Despite longstanding efforts to improve health care quality for patients with complex needs who are at highest risk for hospitalization or death, to our knowledge, no guidance exists on what constitutes measurable high-quality care for this heterogeneous population. Identifying quality measures that are cross-cutting (ie, relevant to multiple chronic conditions and disease states) may enable health care professionals and health care systems to better design and report on quality improvement efforts for this patient population.

OBJECTIVE

To identify quality measures of care and prioritize quality-of-care concepts in the ambulatory primary care setting for patients in the Veterans Health Administration (VHA) who have complex care needs and are at high risk for adverse outcomes, such as hospitalization or death.

EVIDENCE REVIEW

In this expert panel assessment and prioritization, relevant measure concepts for future quality measure development in 3 care categories (assessment, management, and other features of health care) were extracted from a systematic review, conducted from June 2020 to June 2021, of published studies that suggested, evaluated, or used indicators of quality care for patients at high risk of adverse outcomes. Measure concepts associated with single conditions, surgical or other specialty care settings, and inpatient care were excluded. A panel of 14 experts (10 VHA leaders and staff, 2 non-VHA physician investigators, and 2 veterans) discussed and rated the importance of the remaining set of potentially relevant measure concepts using a modified RAND/UCLA Appropriateness Method on January 15, 2021. Measure concepts were rated on a scale of 1 to 9, with 9 being the highest priority. A median rating of 7.5 or greater was used as the cutoff to identify the highest-priority items.

FINDINGS

The systematic review identified 519 measure concepts, from which 15 domains and 49 measure concepts were proposed for expert panel consideration. After panel discussions and changes to measure concepts, the expert panel rated 63 measure concepts in 13 domains. The measure concepts with the highest median ratings focused on caregiver availability and support, COVID-19 vaccination, and pneumonia vaccination (all rated 9.0); housing instability (rated 8.5); and physical function, depression symptoms, cognitive impairment, prescription regimen, primary care follow-up after an emergency department visit or hospitalization, and timely transmission of discharge information to primary care (all rated 8.0). Recommendations to improve care included timely assessment of housing instability, caregiver support, physical function, depression symptoms, and cognitive impairment; annual prescription regimen review; coordinated transitions in care; and preventive care including vaccinations.

CONCLUSIONS AND RELEVANCE

The expert panelists identified a parsimonious set of high-priority, evidence-based, cross-cutting quality measure concepts for improving care of patients at high risk for adverse health outcomes in the VHA. These quality measures may inform both future research for patients at high risk and health care system quality improvement.

Comparison of Mortality and Hospital Readmissions Among Patients Receiving Virtual Ward Transitional Care vs Usual Postdischarge Care: A Systematic Review and Meta-analysis

IMPORTANCE

Virtual wards (VWs) include patient assessment in their homes by health care personnel and offer ongoing assessment and case management via home, telephone, and/or clinic visits. The association between VWs and patient outcomes during the transition from the hospital to home are unclear; earlier reviews on this topic have often conflated telemonitoring programs with VW models.

OBJECTIVE

To evaluate the use of VW transition systems for community-dwelling individuals after medical discharge.

DATA SOURCES

English-language articles indexed in PubMed or Cochrane and published between January 1, 2000, and June 15, 2021.

STUDY SELECTION

Randomized clinical trials comparing VW care with usual postdischarge care. Studies were stratified by diagnosis.

DATA EXTRACTION AND SYNTHESIS

Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline, 2 reviewers independently identified studies and extracted data. DerSimonian-Laird inverse variance weighted random-effects models were used to compute relative risks (RRs) for dichotomous outcomes and mean differences for continuous outcomes.

MAIN OUTCOMES AND MEASURES

All-cause mortality, hospital readmissions, emergency department visits, health care costs, readmission length of stay, quality of life, and functional status.

RESULTS

Twenty-four randomized clinical trials (11 in patients with heart failure, 3 in patients with chronic obstructive pulmonary disease, 4 in patients at high-risk for readmission, and 6 in mixed patient populations) with 10 876 patients were included (20 more trials than earlier reviews). In patients with heart failure, VWs were associated with fewer deaths (RR, 0.86; 95% CI, 0.76-0.97) and fewer readmissions (RR, 0.84; 95% CI, 0.74-0.96). However, similar associations were not seen in randomized clinical trials enrolling patients with other diagnoses (RR, 0.93; 95% CI, 0.83-1.04 for mortality and RR, 0.96; 95% CI, 0.88-1.05 for readmissions). Across all studies, VWs were associated with fewer emergency department visits (RR, 0.83; 95% CI, 0.70-0.98) and shorter readmission lengths of stay (mean difference, -1.94 days; 95% CI, -3.28 to -0.60 days). Three of 7 studies that evaluated health care expenses reported statistically significant lower costs with VW transition systems.

CONCLUSIONS AND RELEVANCE

Although postdischarge VW interventions appear to be associated with fewer subsequent emergency department visits, shorter readmission lengths of stay, and lower health care costs, fewer deaths and readmissions were seen only in trials enrolling patients with heart failure.

External validation of the modified LACE+, LACE+, and LACE scores to predict readmission or death after hospital discharge

BACKGROUND

Unplanned hospital readmissions are common adverse events. The LACE+ score has been used to identify patients at the highest risk of unplanned readmission or death, yet the external validity of this score remains uncertain.

METHODS

We constructed a cohort of patients admitted to hospital between 1 October 2014 and 31 January 2017 using population-based data from British Columbia (Canada). The primary outcome was a composite of urgent hospital readmission or death within 30 days of index discharge. The primary analysis sought to optimize clinical utility and international generalizability by focusing on the modified LACE+ (mLACE+) score, a variation of the LACE+ score which excludes the Case Mix Group score. Predictive performance was assessed using model calibration and discrimination.

RESULTS

Among 368,154 hospitalized individuals, 31,961 (8.7%) were urgently readmitted and 5428 (1.5%) died within 30 days of index discharge (crude composite risk of readmission or death, 9.95%). The mLACE+ score exhibited excellent calibration (calibration-in-the-large and calibration slope no different than ideal) and adequate discrimination (c-statistic, 0.681; 95%CI, 0.678 to 0.684). Higher risk dichotomized mLACE+ scores were only modestly associated with the primary outcome (positive likelihood ratio 1.95, 95%CI 1.93 to 1.97). Predictive performance of the mLACE+ score was similar to that of the LACE+ and LACE scores.

CONCLUSION

The mLACE+, LACE+ and LACE scores predict hospital readmission with excellent calibration and adequate discrimination. These scores can be used to target interventions designed to prevent unplanned hospital readmission.

Transitional shared decision-making processes for patients with complex needs: A feasibility study

INTRODUCTION

Shared decision-making (SDM) processes, combining patients' and professionals' perspectives, are especially necessary for patients with complex needs (CNs) during their care transitions. In 2016, we started implementing interprofessional and interinstitutional SDM processes (IIPs) for patients admitted to a short-stay unit (SSU) for inpatient care and then followed-up by primary care providers. Two types of IIPs were identified: (a) iterative IIPs, and (b) meeting IIPs. These differed in terms of the timing of SDM processes: whereas the former were multilateral and iterative, meeting IIPs were simultaneous. However, the two processes had similar outcomes and participants had similar characteristics. The intervention included other components, such as CNs assessment and a care coordinator position. The present study aimed to assess the feasibility of the intervention's implementation.

METHODS

The intervention's feasibility was assessed using fidelity and coverage indicators. We collected data from the patients' records on (a) patients' and professionals' characteristics, (b) the fidelity (CNs evaluations and occurrences of IIPs), and (c) the intervention's coverage (types of IIPs, participants).

RESULTS

The study included 453 patients between September 2017 and February 2019: mean age of 82.3 years, 65.6% women and 61.1% considered to have CNs. For patients with CNs, iterative IIPs and meeting IIPs occurred in 78.3% and 23.8% of cases, respectively. 35.1% of iterative IIPs and 8.8% of meeting IIPs for patients with CNs involved patients or their informal caregivers, inpatient professionals, primary care physicians and homecare professionals.

DISCUSSION

These results showed that an intervention targeting the implementation of formalized IIPs for SDM in transitional care was feasible. However, to improve the evaluation of such interventions, other methods should be used to measure their appropriateness and acceptability. Additionally, assessing the effects of IIPs would legitimize their funding, supporting their sustainability and generalisability.

Outcomes of a randomized quality improvement trial for high-risk Veterans in year two

OBJECTIVE

The Veterans Health Administration (VHA) conducted a randomized quality improvement evaluation to determine whether augmenting patient-centered medical homes with Primary care Intensive Management (PIM) decreased utilization of acute care and health care costs among patients at high risk for hospitalization. PIM was cost-neutral in the first year; we analyzed changes in utilization and costs in the second year.

DATA SOURCES

VHA administrative data for five demonstration sites from August 2013 to March 2019.

DATA SOURCES

Administrative data extracted from VHA's Corporate Data Warehouse.

STUDY DESIGN

Veterans with a risk of 90-day hospitalization in the top 10th percentile and recent hospitalization or emergency department (ED) visit were randomly assigned to usual primary care vs primary care augmented by PIM. PIM included interdisciplinary teams, comprehensive patient assessment, intensive case management, and care coordination services. We compared the change in mean VHA inpatient and outpatient utilization and costs (including PIM expenses) per patient for the 12-month period before randomization and 13-24 months after randomization for PIM vs usual care using difference-in-differences.

PRINCIPAL FINDINGS

Both PIM patients (n = 1902) and usual care patients (n = 1882) had a mean of 5.6 chronic conditions. PIM patients had a greater number of primary care visits compared to those in usual care (mean 4.6 visits/patient/year vs 3.7 visits/patient/year, p < 0.05), but ED visits (p = 0.45) and hospitalizations (p = 0.95) were not significantly different. We found a small relative increase in outpatient costs among PIM patients compared to those in usual care (mean difference + $928/patient/year, p = 0.053), but no significant differences in mean inpatient costs (+$245/patient/year, p = 0.97). Total mean health care costs were similar between the two groups during the second year (mean difference + $1479/patient/year, p = 0.73).

CONCLUSIONS

Approaches that target patients solely based on the high risk of hospitalization are unlikely to reduce acute care use or total costs in VHA, which already offers patient-centered medical homes.

Evaluation of an intervention targeted with predictive analytics to prevent readmissions in an integrated health system: observational study

OBJECTIVES

To determine the associations between a care coordination intervention (the Transitions Program) targeted to patients after hospital discharge and 30 day readmission and mortality in a large, integrated healthcare system.

DESIGN

Observational study.

SETTING

21 hospitals operated by Kaiser Permanente Northern California.

PARTICIPANTS

1 539 285 eligible index hospital admissions corresponding to 739 040 unique patients from June 2010 to December 2018. 411 507 patients were discharged post-implementation of the Transitions Program; 80 424 (19.5%) of these patients were at medium or high predicted risk and were assigned to receive the intervention after discharge.

INTERVENTION

Patients admitted to hospital were automatically assigned to be followed by the Transitions Program in the 30 days post-discharge if their predicted risk of 30 day readmission or mortality was greater than 25% on the basis of electronic health record data.

MAIN OUTCOME MEASURES

Non-elective hospital readmissions and all cause mortality in the 30 days after hospital discharge.

RESULTS

Difference-in-differences estimates indicated that the intervention was associated with significantly reduced odds of 30 day non-elective readmission (adjusted odds ratio 0.91, 95% confidence interval 0.89 to 0.93; absolute risk reduction 95% confidence interval -2.5%, -3.1% to -2.0%) but not with the odds of 30 day post-discharge mortality (1.00, 0.95 to 1.04). Based on the regression discontinuity estimate, the association with readmission was of similar magnitude (absolute risk reduction -2.7%, -3.2% to -2.2%) among patients at medium risk near the risk threshold used for enrollment. However, the regression discontinuity estimate of the association with post-discharge mortality (-0.7% -1.4% to -0.0%) was significant and suggested benefit in this subgroup of patients.

CONCLUSIONS

In an integrated health system, the implementation of a comprehensive readmissions prevention intervention was associated with a reduction in 30 day readmission rates. Moreover, there was no association with 30 day post-discharge mortality, except among medium risk patients, where some evidence for benefit was found. Altogether, the study provides evidence to suggest the effectiveness of readmission prevention interventions in community settings, but further research might be required to confirm the findings beyond this setting.

Realizing a learning health system through process, rigor and culture change

While many healthcare organizations strive to achieve the patient care benefits of being a learning health system (LHS), myriad challenges stand in the way of successful implementation. The reality of creating a true LHS requires top-to-bottom commitment to culture change with the necessary vision, leadership, and investment. The Center for Outcomes Research and Evaluation (CORE) is a multidisciplinary research unit embedded within a large, vertically integrated healthcare system in the southeastern United States. We used a two-pronged approach to: a) methodically recruit a team of experts, while generating early wins that demonstrated real success; and b) build relationships and buy-in across organizational leadership. Building out a team with diverse expertise created the ability to deploy pragmatic, data-driven research designs that fit seamlessly into real-world care delivery, resulting in agile study execution that aligns with health system timelines. Case study examples from hospital readmissions and antibiotic stewardship illustrate how our LHS operationalizes practice-informed research and research-informed practice. Lessons from this experience can serve as a blueprint for other healthcare systems or networks seeking to expand the promise of the LHS framework to improve health for patients and communities.

Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review

OBJECTIVE

Real-world data (RWD), defined as routinely collected healthcare data, can be a potential catalyst for addressing challenges faced in clinical trials. We performed a scoping review of database-specific RWD applications within clinical trial contexts, synthesizing prominent uses and themes.

MATERIALS AND METHODS

Querying 3 biomedical literature databases, research articles using electronic health records, administrative claims databases, or clinical registries either within a clinical trial or in tandem with methodology related to clinical trials were included. Articles were required to use at least 1 US RWD source. All abstract screening, full-text screening, and data extraction was performed by 1 reviewer. Two reviewers independently verified all decisions.

RESULTS

Of 2020 screened articles, 89 qualified: 59 articles used electronic health records, 29 used administrative claims, and 26 used registries. Our synthesis was driven by the general life cycle of a clinical trial, culminating into 3 major themes: trial process tasks (51 articles); dissemination strategies (6); and generalizability assessments (34). Despite a diverse set of diseases studied, <10% of trials using RWD for trial process tasks evaluated medications or procedures (5/51). All articles highlighted data-related challenges, such as missing values.

DISCUSSION

Database-specific RWD have been occasionally leveraged for various clinical trial tasks. We observed underuse of RWD within conducted medication or procedure trials, though it is subject to the confounder of implicit report of RWD use.

CONCLUSION

Enhanced incorporation of RWD should be further explored for medication or procedure trials, including better understanding of how to handle related data quality issues to facilitate RWD use.

Protocol for a two-arm pragmatic stepped-wedge hybrid effectiveness-implementation trial evaluating Engagement and Collaborative Management to Proactively Advance Sepsis Survivorship (ENCOMPASS)

BACKGROUND

Sepsis survivors experience high morbidity and mortality, and healthcare systems lack effective strategies to address patient needs after hospital discharge. The Sepsis Transition and Recovery (STAR) program is a navigator-led, telehealth-based multicomponent strategy to provide proactive care coordination and monitoring of high-risk patients using evidence-driven, post-sepsis care tasks. The purpose of this study is to evaluate the effectiveness of STAR to improve outcomes for sepsis patients and to examine contextual factors that influence STAR implementation.

METHODS

This study uses a hybrid type I effectiveness-implementation design to concurrently test clinical effectiveness and gather implementation data. The effectiveness evaluation is a two-arm, pragmatic, stepped-wedge cluster randomized controlled trial at eight hospitals in North Carolina comparing clinical outcomes between sepsis survivors who receive Usual Care versus care delivered through STAR. Each hospital begins in a Usual Care control phase and transitions to STAR in a randomly assigned sequence (one every 4 months). During months that a hospital is allocated to Usual Care, all eligible patients will receive usual care. Once a hospital transitions to STAR, all eligible patients will receive STAR during their hospitalization and extending through 90 days from discharge. STAR includes centrally located nurse navigators using telephonic counseling and electronic health record-based support to facilitate best-practice post-sepsis care strategies including post-discharge review of medications, evaluation for new impairments or symptoms, monitoring existing comorbidities, and palliative care referral when appropriate. Adults admitted with suspected sepsis, defined by clinical criteria for infection and organ failure, are included. Planned enrollment is 4032 patients during a 36-month period. The primary effectiveness outcome is the composite of all-cause hospital readmission or mortality within 90 days of discharge. A mixed-methods implementation evaluation will be conducted before, during, and after STAR implementation.

DISCUSSION

This pragmatic evaluation will test the effectiveness of STAR to reduce combined hospital readmissions and mortality, while identifying key implementation factors. Results will provide practical information to advance understanding of how to integrate post-sepsis management across care settings and facilitate implementation, dissemination, and sustained utilization of best-practice post-sepsis management strategies in other heterogeneous healthcare delivery systems.

TRIAL REGISTRATION

NCT04495946 . Submitted July 7, 2020; Posted August 3, 2020.

Outcomes of a Nursing Home-to-Community Care Transition Program

OBJECTIVES

Most transitional care initiatives to reduce rehospitalization have focused on the transition that occurs between a patient's hospital discharge and return home. However, many patients are discharged from a skilled nursing facility (SNF) to their homes. The goal was to evaluate the effectiveness of the Mayo Clinic Care Transitions (MCCT) program (hereafter called program) among patients discharged from SNFs to their homes.

DESIGN

Propensity-matched control-intervention trial.

INTERVENTION

Patients in the intervention group received care management following nursing stay (a home visit and nursing phone calls).

SETTING AND PARTICIPANTS

Patients enrolled after discharge from an SNF to home were matched to patients who did not receive intervention because of refusal, program capacity, or distance. Patients were aged ≥60 years, at high risk for hospitalization, and discharged from an SNF.

METHODS

Program enrollees were matched through propensity score to nonenrollees on the basis of age, sex, comorbid health burden, and mortality risk score. Conditional logistic regression analysis examined 30-day hospitalization and emergency department (ED) use; Cox proportional hazards analyses examined 180-day hospital stay and ED use.

RESULTS

Each group comprised 160 patients [mean (standard deviation) age, 85.4 (7.4) years]. Thirty-day hospitalization and ED rates were 4.4% and 10.0% in the program group and 3.8% and 10.0% in the group with usual care (P = .76 for hospitalization; P > .99 for ED). At 180 days, hospitalization and ED rates were 30.6% and 46.3% for program patients compared with 11.3% and 25.0% in the comparison group (P < .001).

CONCLUSIONS AND IMPLICATIONS

We found no evidence of reduced hospitalization or ED visits by program patients vs the comparison group. Such findings are crucial because they illustrate how aggressive stabilization care within the SNF may mitigate the program role. Furthermore, we found higher ED and hospitalization rates at 180 days in program patients than the comparison group.

Adherence to care transitions recommendations among high-risk hospitalized older patients

BACKGROUND/OBJECTIVES

Evidence on the effectiveness of inpatient hospital geriatric consultation is scant, and it is unknown whether adherence to specific recommendations will improve care and patient outcomes. This study was conducted to provide insights from a quality improvement project that may help guide further improvements in the effectiveness of these consultations made as a component of a care transitions program (CTP).

DESIGN

Secondary analysis of the implementation of a multicomponent CTP for high-risk hospitalized patients aged 75 and older.

SETTING

A 400-bed community teaching hospital.

PARTICIPANTS

Two hundred and two patients admitted to non-ICU beds who met high-risk criteria.

INTERVENTION

Inpatient comprehensive geriatric consultation including care transition recommendations, telephone and in-person follow-up weekly for 4 weeks after discharge, and collaboration with post-acute organizations and primary care and specialist physicians to implement recommendations.

MEASUREMENTS

Primary outcomes for this analysis was 30-day hospital readmissions and adherence to transition of care recommendations.

RESULTS

The 142 patients with at least one post-discharge visit received 936 care transition recommendations. Overall, 663 (71%) of the 936 care transition recommendations were adhered to (71%). The adherence rate was lower in the 22 patients who were readmitted to the hospital within 30 days (63%) compared to 72% adherence in the 120 patients who were not readmitted. This was not a statistically significant difference, and there were no significant differences in the number and percent adherence in any recommendation category between the two groups.

CONCLUSION

We found adherence to just over two-thirds of care transition recommendations, similar to a small number of other studies. We did not find a relationship between the number of recommendations and adherence to them with 30-day readmissions to the hospital. Future studies of CTPs should consider several strategies may enhance geriatric consultation care transitions recommendations and adherence to them, and improve patient outcomes.

Insights From Rapid Deployment of a "Virtual Hospital" as Standard Care During the COVID-19 Pandemic

BACKGROUND

Pandemics disrupt traditional health care operations by overwhelming system resource capacity but also create opportunities for care innovation.

OBJECTIVE

To describe the development and rapid deployment of a virtual hospital program, Atrium Health hospital at home (AH-HaH), within a large health care system.

DESIGN

Prospective case series.

SETTING

Atrium Health, a large integrated health care organization in the southeastern United States.

PATIENTS

1477 patients diagnosed with coronavirus disease 2019 (COVID-19) from 23 March to 7 May 2020 who received care via AH-HaH.

INTERVENTION

A virtual hospital model providing proactive home monitoring and hospital-level care through a virtual observation unit (VOU) and a virtual acute care unit (VACU) in the home setting for eligible patients with COVID-19.

MEASUREMENTS

Patient demographic characteristics, comorbid conditions, treatments administered (intravenous fluids, antibiotics, supplemental oxygen, and respiratory medications), transfer to inpatient care, and hospital outcomes (length of stay, intensive care unit [ICU] admission, mechanical ventilation, and death) were collected from electronic health record data.

RESULTS

1477 patients received care in either the AH-HaH VOU or VACU or both settings, with a median length of stay of 11 days. Of these, 1293 (88%) patients received care in the VOU only, with 40 (3%) requiring inpatient hospitalization. Of these 40 patients, 16 (40%) spent time in the ICU, 7 (18%) required ventilator support, and 2 (5%) died during their hospital admission. In total, 184 (12%) patients were ever admitted to the VACU, during which 21 patients (11%) required intravenous fluids, 16 (9%) received antibiotics, 40 (22%) required respiratory inhaler or nebulizer treatments, 41 (22%) used supplemental oxygen, and 24 (13%) were admitted as an inpatient to a conventional hospital. Of these 24 patients, 10 (42%) required ICU admission, 1 (3%) required a ventilator, and none died during their hospital admission.

LIMITATION

Generalizability is limited to patients with a working telephone and the ability to comply with the monitoring protocols.

CONCLUSION

Virtual hospital programs have the potential to provide health systems with additional inpatient capacity during the COVID-19 pandemic and beyond.

PRIMARY FUNDING SOURCE

Atrium Health.

Healthcare utilization and patient and provider experience with a home visit program for patients discharged from the hospital at high risk for readmission

BACKGROUND

Home visits after hospital discharge may reduce future healthcare utilization. We assessed the association of home visits by advanced practice registered nurses (APRN) and paramedics with healthcare utilization and mortality, and provider and patient experience.

METHODS

We conducted a retrospective cohort study using convergent mixed methods in one health system including adult medical patients discharged to home from November 2017-September 2019. We assessed outcomes for home visit vs. matched comparison patients at 30, 90, and 180 days, including hospital admission, emergency department (ED) use, and death: Phase 1 (APRN or paramedic visits assigned by geographic location) and Phase 2 (APRN and paramedic visit teams assigned to patients). Patients declining home visits and those accepting were also compared. Semi-structured interviews were conducted with home visit patients and providers, primary care providers, and nurse care coordinators.

RESULTS

In Phase 1, the 101 home visit matched to 303 comparison patients showed no differences in readmissions, ED visits, or death at 30, 90, and 180 days. In Phase 2, 157 home visit matched to 471 comparison patients had fewer 30-day readmissions (19.1% vs. 28.7%, p 0.024) and no differences in other outcomes. Compared with patients declining home visits, patients accepting had lower odds of 30-day readmission. In 44 interviews, themes of Medication Understanding, Knowledge Gap after Discharge, Patient Medical Complexity, Social Context, and Patient Engagement/Need for Reassurance emerged.

CONCLUSION

Post-discharge home visits by APRNs and paramedics working together were associated with reduced 30-day readmissions. Identified themes could inform strategies to improve patient support.

Thirty-Day Hospital Readmissions in a Care Transitions Program for High-Risk Older Adults

OBJECTIVES

To describe the causes of 30-day hospital readmissions among high-risk older adults during implementation of a multicomponent care transitions program.

DESIGN

Secondary analysis of data from the evaluation of a multicomponent care transitions program for hospitalized high-risk older adults.

SETTING

A 400-bed community teaching hospital.

PARTICIPANTS

Patients aged 75 and older admitted to non-intensive care unit beds who met specific criteria for high risk of complications and hospital readmissions. The intervention group included 202 patients, of whom 37 were readmitted to the hospital as an inpatient or on observation status within 30 days of discharge.

MEASUREMENTS

Root-cause analyses on each readmission were conducted by hospital physicians and post-acute care (PAC) organization staff. Additional data were collected by trained project staff using the medical record and postdischarge telephone or in-person follow-up visits. These data were reviewed and adjudicated among the authors, and each readmission was rated with unanimous agreement as "preventable," "possibly preventable," or "not preventable."

RESULTS

No significant differences were found in demographic and clinical characteristics of intervention patients readmitted versus those not readmitted. A higher proportion of the 37 patients who were readmitted did not have a postdischarge visit than the 165 patients who were not readmitted (15 [41%] vs 45 [27%]; P = .11). Among the 37 readmissions, 14 (38%) were rated as not preventable, 14 (38%) as possibly preventable, and 9 (24%) as preventable. Readmissions were rated as preventable or possibly preventable for a variety of reasons that provide insight into how care transitions programs for high-risk older adults might be made more effective.

CONCLUSION

Root-cause analyses of hospital readmissions among high-risk older adults by hospital physicians and PAC providers can identify strategies that might enhance the effectiveness of care transitions interventions in this complex population. J Am Geriatr Soc 68:1307-1312, 2020.

Structured, proactive care coordination versus usual care for Improving Morbidity during Post-Acute Care Transitions for Sepsis (IMPACTS): a pragmatic, randomized controlled trial

Background

Hospital mortality for patients with sepsis has recently declined, but sepsis survivors still suffer from significant long-term mortality and morbidity. There are limited data that support effective strategies to address post-discharge management of patients hospitalized with sepsis.

Methods

The Improving Morbidity during Post-Acute Care Transitions for Sepsis (IMPACTS) study is a pragmatic, randomized controlled trial at three hospitals within a single healthcare delivery system comparing clinical outcomes between sepsis survivors who receive usual care versus care delivered through the Sepsis Transition and Recovery (STAR) program. The STAR program includes a centrally located nurse navigator using telephone counseling and electronic health record-based support to facilitate best-practice post-sepsis care strategies for patients during hospitalization and the 30 days after hospital discharge, including post-discharge review of medications, evaluation for new impairments or symptoms, monitoring existing comorbidities, and palliative care referral when appropriate. Adults admitted through the Emergency Department with suspected infection (i.e., antibiotics initiated, bacterial cultures drawn) and deemed, by previously developed risk-stratification models, high risk for readmission or death are included. Eligible patients are randomly allocated 1:1 to either Arm 1, usual care or Arm 2, STAR. Planned enrollment is 708 patients during a 6-month period. The primary outcome is the composite of all-cause hospital readmissions and mortality assessed 30 days post discharge. Secondary outcomes include 30- and 90-day hospital readmissions, mortality, emergency department visits, acute care-free days alive, and acute care and total costs.

Discussion

This pragmatic evaluation provides the most comprehensive assessment to date of a strategy to improve delivery of recommended post-sepsis care.

Trial registration

ClinicalTrials.gov, NCT03865602. Registered retrospectively on 6 March 2019.

A Population Health Approach to Transitional Care Management for High-Risk Patients with Diabetes: Outcomes at a Rural Hospital

Patient transitions from inpatient to home care are an important area of focus for reducing costly unplanned hospital readmissions. In rural settings, the challenge of reducing unplanned readmissions is amplified by limited access to both ambulatory and acute care as well as high levels of social disadvantage. In addition, there is a scarcity of evidence regarding strategies that have been proven to improve care transitions and related patient outcomes in this setting. This paper describes the process for implementation and results of a telephone-based transitional care management (TCM) program designed to reduce readmissions for patients with diabetes in a rural hospital in Scotland County, North Carolina. Data were collected from July 2016 to January 2019 using billing records to identify adult patients with high or very high risk of readmission based on length of stay, acuity, comorbidity, and emergency department visits (LACE) scores. Care managers contacted eligible patients by phone after discharge to review discharge instructions, assess need for home health services and transportation assistance, and schedule primary care follow-up visits. Overall, 13.8% of 15,271 discharges were targeted for TCM; 68.2% of these involved a patient with diabetes. The post-intervention 30-day readmission rate was 18.0% among patients identified as high or very high risk versus 8.8% among the overall population and did not differ significantly between TCM participants with diabetes and those without (22.9% vs.18.8%; P = 0.525). Findings highlight challenges with implementing transition of care interventions in rural settings, which include staffing, patient volume, and accessing data from out-of-network providers.