Front-Line innovation: Rapid implementation of a nurse-driven protocol for care of outpatients with COVID-19

Coordinated-Transitional Care (C-TraC) for Veterans from Subacute Rehabilitation to Home

OBJECTIVES

To adapt a successful acute care transitional model to meet the needs of veterans transitioning from post-acute care to home.

DESIGN

Quality improvement intervention.

SETTING AND PARTICIPANTS

Veterans discharged from a subacute care unit in the VA Boston Healthcare System's skilled nursing facility.

METHODS

We used the Replicating Effective Programs framework and Plan-Do-Study-Act cycles to adapt the Coordinated-Transitional Care (C-TraC) program to the context of transitions from a VA subacute care unit to home. The major adaptation of this registered nurse-driven, telephone-based intervention was combining the roles of discharge coordinator and transitional care case manager. We report the details of the implementation, its feasibility, and results of process measures, and describe its preliminary impact.

RESULTS

Between October 2021 and April 2022, all 35 veterans who met eligibility criteria in the VA Boston Community Living Center (CLC) participated; none were lost to follow-up. The nurse case manager delivered core components of the calls with high fidelity-review of red flags, detailed medication reconciliation, follow-up with primary care physician, and discharge services were discussed and documented in 97.9%, 95.9%, 86.8%, and 95.9%, respectively. CLC C-TraC interventions included care coordination, patient and caregiver education, connecting patients to resources, and addressing medication discrepancies. Nine medication discrepancies were discovered in 8 patients (22.9%; average of 1.1 discrepancies per patient). Compared with a historical cohort of 84 veterans, more CLC C-TraC patients received a post-discharge call within 7 days (82.9% vs 61.9%; P = .03). There was no difference between rates of attendance to appointments and acute care admissions post-discharge.

CONCLUSIONS AND IMPLICATIONS

We successfully adapted the C-TraC transitional care protocol to the VA subacute care setting. CLC C-TraC resulted in increased post-discharge follow-up and intensive case management. Evaluation of a larger cohort to determine its impact on clinical outcomes such as readmissions is warranted.

Home Oxygen and Monitoring for COVID-19 Patients: A Multidisciplinary Team Approach

Introduction

During the initial COVID-19 pandemic peak, Stamford Hospital implemented a home oxygen program (HOP) to create a comprehensive, multi-disciplinary outpatient initiative without sacrificing a safe discharge. Primary care physicians monitored program participants, whose only indication for remaining admitted was an oxygen requirement. We retrospectively examined participant co-morbidities and outcomes, including death and readmission rates to evaluate HOP safety.

Methods

A retrospective analysis of program participants discharged between April 2020-Janurary 2021 was performed. Variables included demographics, oxygen requirement, days enrolled in the HOP, and major comorbidities such as cardiovascular disease (CVD), diabetes (DM), hypertension (HTN), obesity, chronic kidney disease, malignancies and underlying chronic obstructive pulmonary disease (COPD).

Results

Among the 138 HOP participants, ages ranged from 23 to 96 (Mean 65.5), with 47.1% female and 52.9% male. The most represented ethnicity included White (48.6%), Hispanic (29.7%), and Black (15.2%). Patients' average time in the HOP was 19 days, requiring an average of 1.7 L/min of home oxygen. Thirteen patients (9.4%) were readmitted to the hospital with 2.9% secondary to worsening COVID-19 hypoxia, but no deaths occurred at home. A significant relationship was found between age and highest home oxygen need. Patients with COPD, HTN, and DM had significantly higher oxygen requirements (P-value <0.05).

Conclusion

Increasing age, underlying COPD, HTN, and DM were associated with higher oxygen requirements in participants. Given limited availability of hospital beds, and no occurrences of death at home, Stamford Hospital HOP safely helped provide care for sicker patients and enhanced resource allocation.

Confronting the unknown-Nursing surveillance of COVID-19-infected patients through remote telephone calls and in an on-site urgent clinic

Aim

To describe nursing surveillance of coronavirus disease 2019 (COVID‐19)‐infected patients through remote telephone calls and in an on‐site urgent clinic during the first wave of the pandemic as experienced by nurses providing the care.

Design

Qualitative descriptive study.

Methods

Data were collected through seven semi‐structured, audio‐recorded, focus group interviews with 24 nurses. Interviews were conducted in May and June 2020, transcribed and analysed using deductive and inductive content analysis into an overarching category, main categories and subcategories. Reporting followed the COREQ guidelines.

Results

Nurses relied on intensive listening when assessing and caring for COVID‐19‐infected patients. They realized that the patients had complex needs for nursing and healthcare which was beyond the scope of a tentatively prescribed assessment scheme. They designed their care to ensure holistic care, reflected in the overarching category, ‘Confronting an unfamiliar health condition in unprecedented circumstances’ and the categories: ‘Digging into the unknown’ and ‘Ensuring holistic nursing care’. The category ‘Contributing to averting catastrophe’ reflects the wealth of knowledge, support and experience that the nurses used to independently deliver care, albeit in interdisciplinary collaboration, working to their greatest potential. They were proud of the significance of their work.

Conclusion

Novel nursing surveillance through remote telephone calls and in an on‐site urgent care clinic delivered to COVID‐19 patients self‐managing at home resulted in holistic nursing care during the first wave of the pandemic. This has relevance for professionalism in nursing.

Impact

Findings give a unique insight into nursing surveillance of COVID‐19‐infected patients provided through telephone calls and in on‐site urgent care clinics. The potential of intensive listening as conducted in the study suggests that it may be feasible to assess and holistically take care of COVID‐19‐infected patients, and other patient groups as well, with this form of healthcare. This has relevance for healthcare beyond crisis management during pandemics.

Patient or Public Contribution

There was no patient or public contribution as the study only concerned the providers of the service, i.e. the nurses themselves.

Utilization of an Electronic Health Record Integrated Risk Score to Predict Hospitalization Among COVID-19 Patients

Objective:

To evaluate the performance of an Electronic Health Record (EHR) integrated risk score for COVID-19 positive outpatients to predict 30-day risk of hospitalization.

Patients and Methods:

A retrospective observational study of 67 470 patients with COVID-19 confirmed by polymerase chain reaction (PCR) test between March 12, 2020 and February 8, 2021. Risk scores were calculated based on data in the chart at the time of the incident infection.

Results:

The Mayo Clinic COVID-19 risk score consisted of 13 components included age, sex, chronic lung disease, congenital heart disease, congestive heart failure, coronary artery disease, diabetes mellitus, end stage liver disease, end stage renal disease, hypertension, immune compromised, nursing home resident, and pregnant. Univariate analysis showed all components, except pregnancy, have significant (P < .001) association with admission. The Mayo Clinic COVID-19 risk score showed a Receiver Operating Characteristic Area Under Curve (AUC) of 0.837 for the prediction of admission for this large cohort of COVID-19 positive patients.

Conclusion:

The Mayo Clinic COVID-19 risk score is a simple score that is easily integrated into the EHR with excellent predictive performance for severe COVID-19. It can be leveraged to stratify risk for severe COVID-19 at initial contact, when considering therapeutics or in the allocation of vaccine supply.

"There was no panic"-Nurse managers' organising work for COVID-19 patients in an outpatient clinic: A qualitative study

Aim

To provide insight into the contribution of nursing to the establishment and running of a hospital‐based outpatient clinic for COVID‐19 infected patients, and thereby to inform the development of similar nursing care and healthcare more generally.

Design

Qualitative descriptive study centred on collaboration between nurse managers and researchers.

Methods

Drawing on Donabedian’s model of quality health services and the work of Allen on “Nurses’ organising work”, data were collected using four semi‐structured, audio‐recorded, focus group interviews with five nurse managers. The interviews were conducted in May and June 2020, transcribed, and subsequently analysed using deductive and inductive content analysis into an overarching category, main categories, and sub‐categories.

Results

“There was no panic – challenged by the unprecedented” was a strong thread, which was reflected in two categories: (a) Everyone walked in step, containing the sub‐categories: Public officials set the tone, Creating order in disorder, and Mutual respect and teamwork, and (b) Inspired by extraordinary accomplishments, encompassing the sub‐categories: Realising one's potential and Unexpectedly rewarding. In exceptional circumstances the nurse managers’ decision‐making authority grew, material and manpower resources were sufficient, promptly constructed work procedures were in place, and tasks were completed instantly in trusting and respectful interdisciplinary collaboration. With sound support and trust from hospital directors, the nurse managers utilised their expertise to the fullest and they were proud of their work.

Conclusion

The findings portray the almost invisible work of nurse managers in organising complex care. Although the circumstances were exceptional the findings speak to the accomplishments that can be gained when nurse managers have autonomy and the opportunity to utilise their professional capacity to the fullest.

Impact

The findings reveal the almost invisible work of nurses in organising complex care and can inform the establishment of outpatient clinics for patients infected with COVID‐19 and of healthcare development more generally.

VA TECHNOLOGY TRANSFER PROGRAM RESPONDS TO COVID-19 PANDEMIC

The COVID-19 pandemic stressed healthcare systems all over the world. Two primary challenges that healthcare systems faced were a shortage of personal protective equipment and the need for new technologies to handle infection prevention for staff and patients. The Department of Veteran's Affairs (VA) Technology Transfer Program responded by prioritizing the development of innovations in the Technology Transfer Assistance Project which addressed the pandemic. This paper describes several innovations that addressed the needs of the VA healthcare system during the pandemic and how they were rapidly developed.