Effect of a Transitional Care Intervention on Rehospitalization and Mortality after Sepsis: A 12-Month Follow-up of a Randomized Clinical Trial

Updates on Post-Intensive Care Syndrome After Acute Respiratory Distress Syndrome: Epidemiology, Core Outcomes, Interventions, and Long-Term Follow-Up

Acute respiratory distress syndrome (ARDS) survivors often experience post-intensive care syndrome (PICS), is defined as new or worsened impairments in physical, cognitive and/or mental health status persisting beyond hospital discharge. These impairments negatively impact survivors' quality of life and their return to work or usual activities. Moreover, family members are also impacted as recognized by the term, PICS-Family (PICS-F). PICS poses an increased burden on the health care system and has a negative societal impact. There are ongoing efforts to understand risk factors for PICS-related impairments; design and evaluate interventions for specific impairments (including the use of an ARDS survivorship core outcome set); and refine and evaluate ICU recovery clinics to support and treat survivors and their families.

Implementing the MIRROR-TCM Randomised Control Trial During the COVID-19 Pandemic: A Mixed-Methods Evaluation

AIM

To evaluate the implementation of the Transitional Care Model (TCM), an evidence-based, advanced practice registered nurse-led multi-component intervention, as part of a randomised controlled trial during the first year of the COVID-19 pandemic.

DESIGN

Parallel convergent mixed-methods approach.

METHODS

Data for this study were collected between June 2020 and February 2021. Data from 78 patients who received the intervention and 68 recorded meetings with system leaders and clinical teams were analysed using descriptive statistics, directed content analysis, and joint display.

RESULTS

Fidelity to delivery of elements of the TCM components was variable, with the Hospital-to-Home visit elements having the widest range (14.3%-100%) and Maintaining Relationships elements having the highest range (97.3%-98.6%). There were 27 identified challenges and 15 strategies for implementing the TCM with fidelity during the pandemic.

CONCLUSION

The COVID-19 pandemic impacted all aspects of the delivery of the TCM across all sites. This historical event highlighted the need for services and support for patients and caregivers transitioning from the hospital to home.

IMPLICATIONS FOR NURSING AND PATIENT CARE

Evidence-based solutions are needed to enhance healthcare delivery and patient outcomes. Findings will guide nurses in implementing proven transitional care interventions.

IMPACT

Findings will inform the implementation and scaling of transitional care and other evidence-based interventions across diverse healthcare settings.

REPORTING METHOD

GRAMMS reporting guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT04212962. https://www.

CLINICALTRIALS

gov/study/NCT04212962?titles=NCT04212962&rank=1.

Failure to Rescue as a Quality Measure in Sepsis

This Viewpoint discusses the limitations of current tools to improve sepsis outcomes and proposes that these tools be supplemented with “failure to rescue,” a systems-level approach for recognizing and addressing complications and managing sepsis throughout the hospitalization period.

Prediction of Readmission Following Sepsis Using Social Determinants of Health

OBJECTIVES

To determine the predictive value of social determinants of health (SDoH) variables on 30-day readmission following a sepsis hospitalization as compared with traditional clinical variables.

DESIGN

Multicenter retrospective cohort study using patient-level data, including demographic, clinical, and survey data.

SETTINGS

Thirty-five hospitals across the United States from 2017 to 2021.

PATIENTS

Two hundred seventy-one thousand four hundred twenty-eight individuals in the AllofUs initiative, of which 8909 had an index sepsis hospitalization.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Unplanned 30-day readmission to the hospital. Multinomial logistic regression models were constructed to account for survival in determination of variables associate with 30-day readmission and are presented as adjusted odds rations (aORs). Of the 8909 sepsis patients in our cohort, 21% had an unplanned hospital readmission within 30 days. Median age (interquartile range) was 54 years (41-65 yr), 4762 (53.4%) were female, and there were self-reported 1612 (18.09%) Black, 2271 (25.49%) Hispanic, and 4642 (52.1%) White individuals. In multinomial logistic regression models accounting for survival, we identified that change to nonphysician provider type due to economic reasons (aOR, 2.55 [2.35-2.74]), delay of receiving medical care due to lack of transportation (aOR, 1.68 [1.62-1.74]), and inability to afford flow-up care (aOR, 1.59 [1.52-1.66]) were strongly and independently associated with a 30-day readmission when adjusting for survival. Patients who lived in a ZIP code with a high percentage of patients in poverty and without health insurance were also more likely to be readmitted within 30 days (aOR, 1.26 [1.22-1.29] and aOR, 1.28 [1.26-1.29], respectively). Finally, we found that having a primary care provider and health insurance were associated with low odds of an unplanned 30-day readmission.

CONCLUSIONS

In this multicenter retrospective cohort, several SDoH variables were strongly associated with unplanned 30-day readmission. Models predicting readmission following sepsis hospitalization may benefit from the addition of SDoH factors to traditional clinical variables.

Characterizing Program Delivery for an Effective Multicomponent Sepsis Recovery Intervention

Rationale: A recent randomized controlled trial revealed that a multicomponent sepsis transition and recovery (STAR) program delivered through specialized nurse navigators was effective in reducing a composite of 30-day readmission and mortality. Better understanding of patterns of care provided by the STAR program is needed to promote implementation and dissemination of this effective program.Objectives: This study characterizes individual care activities and distinct "packages" of care delivered by the STAR program.Methods: We performed a secondary analysis of data from the intervention arm of the IMPACTS (Improving Morbidity during Post-Acute Care Transitions for Sepsis) randomized controlled trial, conducted at three urban hospitals in the southeastern United States from January 2019 to March 2020. We used a structured data collection process to identify STAR nurse navigator care activities from electronic health record documentation. We then used latent class analysis to identify groups of patients receiving distinct combinations of intervention components. We evaluated differences in patient characteristics and outcomes between groups receiving distinct intervention packages.Results: The 317 sepsis survivors enrolled into the intervention arm of the IMPACTS trial received one or more of nine unique care activities delivered by STAR nurse navigators (care coordination, health promotion counseling, emotional listening, symptom management, medication management, chronic disease management, addressing social determinants of health, care setting advice and guidance, and primary palliative care). Patients received a median of three individual care activities (interquartile range, 2-5). Latent class analysis revealed four distinct packages of care activities delivered to patients with different observable characteristics and different frequency of 30-day readmission and mortality.Conclusions: We identified nine care activities delivered by an effective STAR program and four distinct latent classes or packages of intervention delivery. These results can be leveraged to increase widespread implementation and provide targets to augment future program delivery.

The role of place-based factors and other social determinants of health on adverse post-sepsis outcomes: a review of the literature

Sepsis remains a common and costly disease. With early recognition and guideline-based treatment, more patients are surviving to hospital discharge. Many survivors experience adverse health events in the months following discharge, while others suffer long-term physical and cognitive decline. Social, biological, and environmental factors affect all aspects of the disease process, from what pathogens one is exposed to, how/if disease develops, what avenues are available for treatment, as well as short- and long-term sequelae of survival. Disparities in sepsis care exist at all stages of a patient's clinical course, but increased survivorship has highlighted the extent to which Social Determinants of Health (SDoH) influence post-discharge adverse events. Despite increased interest in the last decade, a nuanced understanding of causal relationships remains elusive. This is due to several factors: the narrow range of social determinants of health (SDoH) variables typically studied, the inconsistent and non-standardized methods of documenting and reporting SDoH, and the inadequate acknowledgment of how social, environmental, and biological factors interact. Lack of clear understanding of how SDoH influence post- discharge outcomes is an obstacle to development and testing of strategies to mitigate their harms. This paper reviews the literature pertaining to the effects of SDoH on post-discharge outcomes in sepsis, highlights gaps therein, and identifies areas of greatest need for improving the quality and impact of future investigations.

Mobile Critical Care Recovery Program for Survivors of Acute Respiratory Failure: A Randomized Clinical Trial

Importance

Over 50% of Acute Respiratory Failure (ARF) survivors experience cognitive, physical, and psychological impairments that negatively impact their quality of life (QOL).

Objective

To evaluate the efficacy of a post-intensive care unit (ICU) program, the Mobile Critical Care Recovery Program (m-CCRP) consisting of a nurse care coordinator supported by an interdisciplinary team, in improving the QOL of ARF survivors.

Design, Setting, and Participants

This randomized clinical trial with concealed outcome assessments among ARF survivors was conducted from March 1, 2017, to April 30, 2022, with a 12-month follow-up. Patients were admitted to the ICU services of 4 Indiana hospitals (1 community, 1 county, 2 academic), affiliated with the Indiana University School of Medicine.

Intervention

A 12-month nurse-led collaborative care intervention (m-CCRP) supported by an interdisciplinary group of clinicians (2 intensivists, 1 geriatrician, 1 ICU nurse, and 1 neuropsychologist) was compared with a telephone-based control. The intervention comprised longitudinal symptom monitoring coupled with nurse-delivered care protocols targeting cognition, physical function, personal care, mobility, sleep disturbances, pain, depression, anxiety, agitation or aggression, delusions or hallucinations, stress and physical health, legal and financial needs, and medication adherence.

Main Outcomes and Measures

The primary outcome was QOL as measured by the 36-item Medical Outcomes Study Short Form Health Survey (SF-36) physical component summary (PCS) and mental component summary (MCS), with scores on each component ranging from 0-100, and higher scores indicating better health status.

Results

In an intention-to-treat analysis among 466 ARF survivors (mean [SD] age, 56.1 [14.4] years; 250 [53.6%] female; 233 assigned to each group), the m-CCRP intervention for 12 months did not significantly improve the QOL compared with the control group (estimated difference in change from baseline between m-CCRP and control group: 1.61 [95% CI, -1.06 to 4.29] for SF-36 PCS; -2.50 [95% CI, -5.29 to 0.30] for SF-36 MCS. Compared with the control group, the rates of hospitalization were higher in the m-CCRP group (117 [50.2%] vs 95 [40.8%]; P = .04), whereas the 12-month mortality rates were not statistically significantly lower (24 [10.3%] vs 38 [16.3%]; P = .05).

Conclusions and Relevance

Findings from this randomized clinical trial indicated that a nurse-led 12-month comprehensive interdisciplinary care intervention did not significantly improve the QOL of ARF survivors after ICU hospitalization. These results suggest that further research is needed to identify specific patient groups who could benefit from tailored post-ICU interventions.

Trial Registration

ClinicalTrials.gov Identifier: NCT03053245.

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.

Health system approaches to providing posthospital care for survivors of sepsis and critical illness

PURPOSE OF REVIEW

In the current review, we highlight developing strategies taken by healthcare systems to improve posthospital outcomes for sepsis and critical illness.

RECENT FINDINGS

Multiple studies conducted in the adult population over the last 18 months have advanced current knowledge on postdischarge care after sepsis and critical illness. Effective interventions are complex and multicomponent, targeting the multilevel challenges that survivors face. Health systems can leverage existing care models such as primary care or invest in specialty programs to deliver postdischarge care. Qualitative and implementation science studies provide insights into important contextual factors for program success. Several studies demonstrate successful application of telehealth to improve reach of postdischarge support. Research is beginning to identify subtypes of survivors that may respond to tailored intervention strategies.

SUMMARY

Several successful critical illness survivor models of care have been implemented and knowledge about effectiveness, cost, and implementation factors of these strategies is growing. Further innovation is needed in intervention development and evaluation to advance the field.

Pediatric Sepsis Requiring Intensive Care Admission: Potential Structured Follow-Up Protocols to Identify and Manage New or Exacerbated Medical Conditions

Pediatric sepsis is a leading cause of morbidity and mortality in children globally. Children who require the pediatric intensive care unit (PICU) are at high risk for new or worsening co-morbidities, as well as readmission. This review describes the current state of protocolized follow-up after pediatric sepsis requiring PICU admission. We searched Medline and EMBASE databases for studies published in English from 2005 to date. Duplicates, review articles, abstracts and poster presentations were excluded; neonatal intensive care unit (NICU) patients were also excluded since neonatal sepsis is variably defined and differs from the pediatric consensus definition. The search yielded 418 studies of which 55 were duplicates; the subsequent 363 studies were screened for inclusion criteria, yielding 31 studies for which full article screening was completed. Subsequently, 23 studies were excluded due to wrong population (9), wrong publication type (10), duplicate data (3) or wrong outcome (1). In total, nine studies were included for which we described study design, setting, population, sample size, outcomes, PICU core outcome domain, and results. There were 4 retrospective cohort studies, 4 prospective cohort studies, 1 retrospective case series and no prospective trials. These studies show the varying trajectories of recovery after discharge, with the common finding that new or worsening morbidities are worse within months of discharge, but may persist. Sepsis survivors may have distinct needs and a different post-PICU trajectory compared to other critically ill children, particularly in quality of life and neurocognitive outcomes. Future research should focus on developing screening protocols and studying protocolized follow-up trials to reduce morbidity after pediatric sepsis.

Healthcare delivery and recovery after critical illness

PURPOSE OF REVIEW

To summarize improvements and innovations in healthcare delivery which could be implemented to improve the recovery experience after critical illness for adult survivors and their families.

RECENT FINDINGS

For survivors of critical illness, the transitions in care during their recovery journey are points of heightened vulnerability associated with adverse events. Survivors of critical illness often have errors in the management of their medications during the recovery period. A multicomponent intervention delivered for 30 days that focused on four key principles of improved recovery care after sepsis care was associated with a durable effect on 12-month rehospitalization and mortality compared with usual care. A recent multicentre study which piloted integrating health and social care for critical care survivors demonstrated improvements in health-related quality of life and self-efficacy at 12 months. Multiple qualitative studies provide insights into how peer support programmes could potentially benefit survivors of critical illness by providing them mechanism to share their experiences, to give back to other patients, and to set more realistic expectations for recovery.

SUMMARY

Future research could focus on exploring safety outcomes as primary endpoints and finding ways to develop and test implementation strategies to improve the recovery after critical illness.