Effects of a patient-centered digital health intervention in patients referred to cardiac rehabilitation: the Smart HEART clinical trial.

BACKGROUND: Cardiac rehabilitation (CR) improves outcomes in heart disease yet remains vastly underutilized. Remote CR enhanced with a digital health intervention (DHI) may offer higher access and improved patient-centered outcomes over non-technology approaches. We sought to pragmatically determine whether offering a DHI improves CR access, cardiac risk profile, and patient-reported outcome measures. METHODS: Adults referred to CR at a tertiary VA medical center between October 2017 and December 2021 were offered enrollment into a DHI alongside other CR modalities using shared decision-making. The DHI consisted of remote CR with a structured, 3-month home exercise program enhanced with multi-component coaching, a commercial smartphone app, and wearable activity tracker. We measured completion rates among DHI participants and evaluated changes in 6-min walk distance, cardiovascular risk factors, and patient-reported outcomes from pre- to post-intervention. RESULTS: Among 1,643 patients referred to CR, 258 (16%) consented to the DHI where the mean age was 60 ± 9 years, 93% were male, and 48% were black. A majority (90%) of the DHI group completed the program. Over 3-months, significant improvements were seen in 6MWT (mean difference [MD] -29 m; 95% CI, 10 to 49; P < 0.01) and low-density lipoprotein cholesterol (MD -11 mg/dL; 95% CI, -17 to -5; P < 0.01), and the absolute proportion of patients who reported smoking decreased (10% vs 15%; MD, -5%; 95% CI, -8% to -2%; P < 0.01) among DHI participants with available data. No adverse events were reported. CONCLUSIONS: The addition of a DHI-enhanced remote CR program was delivered in 16% of referred veterans and associated with improved CR access, markers of cardiovascular risk, and healthy behaviors in this real-world study. These findings support the continued implementation of DHIs for remote CR in real-world clinical settings. TRIAL REGISTRATION: This trial was registered on ClinicalTrials.gov: NCT02791685 (07/06/2016).

Radiation Oncologist Shortage Creates Opportunity for NPs.

A 50% estimated increase in new cancer cases over the next few decades will significantly challenge health care systems already strained by a shortage of oncology providers. Radiation oncology (RO), 1 of 3 three primary pillars of oncology care, treats half of all new cancer cases. Workforce shortages, reimbursement changes, delays in patient treatment, and the lack of follow-up care all continue to increase pressure on RO centers to boost efficiency, improve patient and staff retention, and strive for service satisfaction. Nurse practitioners (NPs) can bring greater capacity, expertise, and profitability to RO, especially in light of the fact that demand is predicted to outstrip supply by as much as 10 times. It is critical, however, that NPs receive specialized training in RO's clinical, technological, and operational processes before assuming patient-facing roles.

Using Routinely Collected Electronic Health Record Data to Predict Readmission and Target Care Coordination.

ABSTRACT: Patients with chronic renal failure (CRF) are at high risk of being readmitted to hospitals within 30 days. Routinely collected electronic health record (EHR) data may enable hospitals to predict CRF readmission and target interventions to increase quality and reduce readmissions. We compared the ability of manually extracted variables to predict readmission compared with EHR-based prediction using multivariate logistic regression on 1 year of admission data from an academic medical center. Categorizing three routinely collected variables (creatinine, B-type natriuretic peptide, and length of stay) increased readmission prediction by 30% compared with paper-based methods as measured by C-statistic (AUC). Marginal effects analysis using the final multivariate model provided patient-specific risk scores from 0% to 44.3%. These findings support the use of routinely collected EHR data for effectively stratifying readmission risk for patients with CRF. Generic readmission risk tools may be evidence-based but are designed for general populations and may not account for unique traits of specific patient populations-such as those with CRF. Routinely collected EHR data are a rapid, more efficient strategy for risk stratifying and strategically targeting care. Earlier risk stratification and reallocation of clinician effort may reduce readmissions. Testing this risk model in additional populations and settings is warranted.

Cardiac Toxicity and Anthracyclines: Mechanism, Interventions, and the Trouble With Troponin.

As cancer survivorship increases, clinicians need to become educated regarding the long-term effect of cancer treatments. Cancer therapeutics-related cardiac dysfunction (CTRCD) is one such sequela that contributes to significant morbidity and mortality. Unfortunately, screening and management practices regarding CTRCD are inconsistent within guidelines and practice. This review will first look at anthracycline-related cardiac dysfunction occurrence and pathophysiology. Current guidelines for CTRCD screening will be discussed, including the use of 2D echocardiograms along with newer technology such as 3D echocardiography and global systolic longitudinal myocardial strain (GLS) measurements. Biomarkers like serum troponin demonstrate promise as an early indicator of cardiomyocyte injury and a potential means of risk stratification; however, guidelines vary regarding how best to incorporate elevated serum troponin levels into management plans. Growing evidence indicates the clinical need for early detection of CTRCD in order to initiate preventative pharmacologic management and improve patient outcomes.

Leveraging Graduate Academic-Practice Partnerships to Transform Health System Outcomes.

Academic and clinical site partnerships are not new. However, many of these have not resulted in graduates of nursing education programs who are prepared to fulfill their full potential as newly employed professionals. This article describes an education program for Doctorate of Nursing Practice (DNP) students in which the students, under the close supervision of academic faculty, utilize their statistical analyses and complex system coursework to study and address "wicked" problems faced by health care organizations. This partnership between academia and practice is benefitting practice partners, students, and patients.

The Medicare Patient-Centered Partnership With Observation Units.

With a goal of increasing transparency regarding the utilization of Observation Units (OUs) in relation to Medicare policies, a 2012-2014 retrospective analysis was performed on 108 009 de-identified records of patients admitted from emergency departments to OUs within an urban health system. A cost-benefit analysis of OUs from the patient-centered perspective provided the theoretical patient cost. Using a query search, data regarding encounter type, length of stay, insurance carrier, origin, disposition, and age were collected. The 2016 Health Care Cost and Utilization Report was used as a means to extrapolate cost. The results showed that Medicare patients with Part B coverage were expected to pay between $516.80 to $548.20 for the average OU stay. Patients needing care in a skilled nursing facility post-OU discharge, without a 3-day qualifying stay, incurred a charge of $6244 to $6402. There is reason to investigate the policies regarding patient education and notification surrounding OUs. In an effort to improve care delivery and patient satisfaction, health care clinicians must partner with patients to improve health education and empower patients to manage their own care.

Does a CEO's Departure Trigger a Crisis for a CNO?

For chief nursing officers, volatility has become an expected characteristic of the professional landscape. Recent studies indicate that this volatility is likely to continue for at least the next decade. For chief nursing officers caught in an organizational crisis, the thought of leaving the leadership ranks triggers professional angst and a range of personal emotion. This article examines the most common reasons chief nursing officers leave their positions and how they can take steps to rebound. It also explores the tools and resources that can positively affect these monumental transitions, whether voluntary or involuntary.