Improving Morbidity During Post-Acute Care Transitions for Sepsis

BACKGROUND

Sepsis is a common and life-threatening condition defined by organ dysfunction due to a dysregulated response to infection (Fleischmann, 2016). Aggressive early sepsis identification and treatment initiatives have decreased hospital mortality for patients with sepsis (Rhodes, 2017). As mortality rates have improved, there has been a growing recognition of the downstream effects of sepsis for the approximately 14 million annual sepsis survivors who encounter increased long-term mortality and morbidity across functional, cognitive, and psychological domains (Iwashyna, 2010; Shah, 2013; Schuler, 2018; Borges, 2015; Annane, 2015; Prescott, 2015). Currently, there is a disconnect between the post-acute care needs of sepsis survivors and the resources available to these patients (Huang, 2016; Ortego, 2015; Winters, 2010; Nesseler, 2013). Inadequate post-sepsis care strategies are reflected by adverse outcomes post-sepsis including increased mortality risk and strikingly high rates of healthcare utilization, including a 90-day hospital readmission rate of 40% and over 3 billion dollars in preventable costs (Prescott, 2016; Goodwin, 2015; Prescott, 2014; Jones, 2015). To address the specific gaps in treatment for sepsis survivors, international experts developed best-practice recommendations to guide delivery of post-sepsis care (Prescott, 2018). These best-practice recommendations are directed towards the specific challenges and sequelae following a sepsis hospitalization and include: i) identification and treatment of new physical, mental, and cognitive deficits; ii) review and adjustment of medications; iii) surveillance of treatable conditions that commonly lead to poor outcomes; and iv) focus on palliative care when appropriate. However, implementation of recommended post-sepsis practices is hindered by a gap in understanding how to best integrate interventions into the complex and fragmented post discharge setting (e.g., lack of provider time and patient engagement, limited access to care management, and insufficient institutional support) (Taylor, 2019; Brownson, 2012; Bodenheimer, 2008; Coleman, 2004).

RATIONALE

In randomized controlled trials (RCTs), including our previous work, successfully implemented care transition programs using nurse navigators have been shown to reduce hospital readmissions and costs. To better enhance transitions of care for the highest risk, complex patients with suspected sepsis, we propose extending this evidence using a nurse-facilitated care transition program for patients in the post-sepsis transition period to improve the implementation of recommended care practices and bridge care gaps. This approach, called the Sepsis Transition and Recovery (STAR) program, is the next step in the progression of our group's work on improving discharge transitions and sepsis processes of care. A key aspect of this initiative includes the ability to identify sepsis survivors at the greatest risk for poor outcomes. For example, one-quarter of sepsis survivors account for three-quarters of hospital readmissions and costs, indicating that identifying high-risk sepsis patients for targeted facilitation of best-practice care could efficiently impact quality and cost.

Our STAR program uses near real-time risk modeling to identify high-risk patients and a centrally located nurse, virtually connected to participating hospitals, to coordinate the application of evidence-based recommendations for post-sepsis care, overcome barriers to recommended care, and bridge gaps in service that can serve as points of failure for complex patients. During their hospitalization, high-risk patients enter into a transition pathway integrated within Atrium Health Hospital Medicine's Transition Services program and includes the following core components: i) Introduction to STAR process prior to discharge (confirm provider consults e.g., PT, ID, palliative); ii) Disease-specific education and discharge "playbook"; iii) Virtual hospital follow-up evaluation within 48 hours including medication reconciliation; iv) Second, post-acute virtual follow-up within 72 hours (symptom monitoring, confirm provider follow-up); v) Weekly contact with care management team; vi) Referral to provider follow-up (e.g., primary care provider, transition clinic) as appropriate; vii) Coordinated transition to the next appropriate care location after 30 days from time of discharge. The STAR navigator also meets weekly with the Medical Director of the Atrium Health Transition Services program who provides additional clinical oversight of ongoing cases.

The IMPACTS (Improving Morbidity during Post Acute Care Transitions for Sepsis) evaluation will examine if implementation of the STAR program within a large healthcare system will improve outcomes for high-risk sepsis patients. This randomized program evaluation is designed to be a seamless part of routine care in a real-world setting to generate knowledge of best practices for implementation and dissemination of post-sepsis transitions of care.

INVESTIGATIONAL PLAN

Overall Study Design

This real-world pragmatic randomized program evaluation will compare the effectiveness of the Sepsis Transition And Recovery (STAR) program versus usual care on post-sepsis care and patient outcomes. The STAR program is informed by existing evidence and designed using the Chronic Care Model to increase best-practice adherence and care coordination, resulting in improved transitions between hospitals and post-acute care during sepsis recovery.

Because of resource limitations, STAR can only be made available to a limited number of patients. To be objective in patient selection and allow for program evaluation, we will use a data driven approach to identify patients as eligible for program referral. First, risk modeling will identify patients as high risk for 30-day readmission or 30-day mortality during the first day of the hospital admission. Then from this pool of high-risk patients, up to 6 patients will be randomly selected each weekday to be referred to either receive usual care or care delivered through the STAR program. The number of daily patients to be randomized was selected to match targeted capacity for the STAR navigator and will be reevaluated on a biweekly basis. Because variables that affect eligibility may change during a hospital stay, initial eligibility will be re-confirmed at time of hospital discharge. Specifically, patients who have had infection diagnosis ruled-out during their hospitalization (i.e., rule-out documented in medical record) will be excluded for the purposes of analysis. All remaining eligible patients at the time of discharge will be included in analyses, which will be conducted using an intent-to-treat approach. Planned enrollment is 708 patients (n=354 patients per study arm) and STAR program follow-up will be completed 30 days after hospital discharge. Outcomes data will be tracked for 90 days and captured from routinely collected data from the Atrium Health Enterprise Data Warehouse. Given this evaluation protocol is part of a quality improvement intervention that relies on using evidence-based interventions, only utilizes data collected as part of routine care, and is minimal risk to patients, we requested that the institutional review board designate this study as expedited research and grant a waiver of informed consent.

Primary Outcome Variable The primary outcome is a composite, dichotomous endpoint of all-cause mortality or unplanned hospital readmission assessed 30 days post index hospital discharge.

Secondary Outcome Variable(s)

1. all-cause 30- and 90-day mortality;
2. all-cause 30- and 90-day hospital readmission;
3. 30- and 90-day cause-specific hospital readmissions with primary diagnoses related to: a) infection, b) chronic lung disease, c) heart failure, and d) acute kidney injury;
4. 30- and 90-day emergency department visits;
5. 30- and 90-day acute-care costs;
6. 30- and 90-day total healthcare costs (only in the subgroup of patients enrolled in a Medicare Shared Savings Plan);
7. acute care-free days alive measured at 30 and 90 days, defined as the sum of days alive without inpatient, observation, and emergency department encounters (rounded to full day for any day with acute care utilization) during the interval after discharge.

Subject Selection Subject selection will occur via an automated query process for patient list generation. Each weekday morning actively admitted patients at 3 study hospitals (i.e., Carolinas Medical Center, Carolinas Medical Center - Mercy, and Atrium Health Northeast) will be identified from the electronic health record and Enterprise Data Warehouse and output into daily eligibility lists based on the study's inclusion/exclusion criteria.

Randomization Eligible patients will be randomly allocated 1:1 to receive usual care or the STAR program. Clinicians and patients are not blinded to treatment allocation. Due to resource limitations, STAR will only be made available to a limited number of patients. Thus, a constrained randomization scheme will be utilized to randomly allocate up to six eligible patients to either STAR or usual care each weekday. The number of patients allocated to be randomized daily was selected to match targeted capacity for the STAR navigators and will be reevaluated on a biweekly basis and adjusted as needed.