Effectiveness of a Multifaceted Implementation Strategy to Increase Equitable Hospital at Home Utilization: An Interrupted Time Series Analysis.

BACKGROUND: The number of Hospital-at-Home (HaH) programs rapidly increased during the COVID-19 pandemic and after issuance of Centers for Medicare and Medicaid Services' (CMS) Acute Hospital Care at Home (AHCaH) waiver. However, there remains little evidence on effective strategies to equitably expand HaH utilization. OBJECTIVE: Evaluate the effects of a multifaceted implementation strategy on HaH utilization over time. DESIGN: Before and after implementation evaluation using electronic health record (EHR) data and interrupted time series analysis, complemented by qualitative interviews with key stakeholders. PARTICIPANTS: Between December 2021 and December 2022, we identified adults hospitalized at six hospitals in North Carolina approved by CMS to participate in the AHCaH waiver program. Eligible adults met criteria for HaH transfer (HaH-eligible clinical condition, qualifying home environment). We conducted semi-structured interviews with 12 HaH patients and 10 referring clinicians. INTERVENTIONS: Two strategies were studied. The discrete implementation strategy (weeks 1-12) included clinician-directed educational outreach. The multifaceted implementation strategy (weeks 13-54) included ongoing clinician-directed educational outreach, local HaH assistance via nurse navigators, involvement of clinical service line executives, and individualized audit and feedback. MEASURES: We assessed weekly averaged HaH capacity utilization, weekly counts of unique referring providers, and patient characteristics. We analyzed themes from qualitative data to determine barriers and facilitators to HaH use. RESULTS: Our evaluation showed week-to-week increases in HaH capacity utilization during the multifaceted implementation strategy period, compared to discrete-period trends (slope-change odds ratio-1.02, 1.01-1.04). Counts of referring providers also increased week to week, compared to discrete-period trends (slope-change means ratio-1.05, 1.03-1.07). The increase in HaH utilization was largest among rural residents (11 to 34%). Barriers included HaH-related information gaps and referral challenges; facilitators included patient-centeredness of HaH care. CONCLUSIONS: A multifaceted implementation strategy was associated with increased HaH capacity utilization, provider adoption, and patient diversity. Health systems may consider similar, contextually relevant multicomponent approaches to equitably expand HaH.

Soft Skills: The Work of Communication and Persuasion Among Nurse Navigators in Hospital at Home Programs.

OBJECTIVE: To assess the role of soft skills in the work of Hospital at Home (HaH) nurse navigators. BACKGROUND: In HaH programs that employ them, nurse navigators are often responsible for identifying, assessing, referring, and educating potential HaH patients. The experiences of these navigators have gone understudied. METHODS: Researchers conducted semistructured interviews and observations with nurse navigators (n = 7) who collectively cover 14 North Carolina-based HaH sites. Navigators were asked to keep diaries of responses to directed questions. RESULTS: In their capacity as navigators, interviewees said they served several roles: intermediaries between hospital and HaH staff, interpreters of clinical knowledge for patients, and champions of, and educators for, the home-based program. The navigators noted that the interpersonal soft skills of building rapport, clear communication, and gentle persuasion were of the utmost importance in this work. CONCLUSIONS: The job descriptions of nurse navigators in HaH programs should fully reflect the breadth of their responsibilities, including time performing soft skilled labor. Also, training for these roles should include techniques to develop and refine these skills.

Implementing a Second-Level Observation Unit at a Large Academic Medical Center.

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Incidence, Predictors, and Prognosis of Acute Kidney Injury Among Cardiac Arrest Survivors.

BACKGROUND: Acute kidney injury (AKI) is common among cardiac arrest survivors. However, the outcomes and predictors are not well studied. METHODS: This is a cohort study of cardiac arrest patients enrolled from January 2012 to December 2016 who were able to survive for 24 hours post-cardiopulmonary resuscitation. Patients with anuria, chronic kidney disease (stage 5), and end-stage renal disease were excluded. Acute kidney injury (stage 1) or higher was defined using Kidney Disease: Improving Global Outcomes classification. Multivariable adjusted regression models were used to compute hazard ratio (HR) for association of AKI with risk of mortality and odds ratio (OR) with risk of poor neurological outcomes after adjusting for demographics, comorbidities, and medical therapy. Multivariable logistic regression model was used to compute OR for association of various predictors with AKI. RESULTS: Of 842 cardiac arrest survivors, 588 (69.8%) developed AKI. Among AKI patients, 69.4% died compared with 52.0% among non-AKI patients. In multivariable adjusted Cox proportional hazard model, development of AKI post-cardiac arrest was significantly associated with mortality (HR: 1.35; 95% confidence interval [CI]: 1.07-1.71, P = .01) and poor neurological outcomes defined as cerebral performance category >2 (OR: 2.27; 95% CI: 1.45-3.57, P < .001) and modified Rankin scale >3 (OR: 2.22; 95% CI: 1.43-3.45, P < .001). Postdischarge dialysis was also associated with increased risk of mortality (HR: 2.57; 95% CI: 1.57-4.23, P < .001). Use of vasopressors was strongly associated with development of AKI and continued need for postdischarge dialysis. CONCLUSIONS: Acute kidney injury was associated with increased risk of mortality and poor neurological outcomes. There is need for further studies to prevent AKI in cardiac arrest survivors.

Impact of structured interdisciplinary bedside rounding on patient outcomes at a large academic health centre.

BACKGROUND: Effective communication between healthcare providers and patients and their family members is an integral part of daily care and discharge planning for hospitalised patients. Several studies suggest that team-based care is associated with improved length of stay (LOS), but the data on readmissions are conflicting. Our study evaluated the impact of structured interdisciplinary bedside rounding (SIBR) on outcomes related to readmissions and LOS. METHODS: The SIBR team consisted of a physician and/or advanced practice provider, bedside nurse, pharmacist, social worker and bridge nurse navigator. Outcomes were compared in patients admitted to a hospital medicine unit using SIBR (n=1451) and a similar control unit (n=770) during the period of October 2016 to September 2017. Multivariable negative binomial regression analysis was used to compare LOS and logistic regression analysis was used to calculate 30-day and 7-day readmission in patients admitted to SIBR and control units, adjusting for covariates. RESULTS: Patients admitted to SIBR and control units were generally similar (p≥0.05) with respect to demographic and clinical characteristics. Unadjusted readmission rates in SIBR patients were lower than in control patients at both 30 days (16.6% vs 20.3%, p=0.03) and 7 days (6.3% vs 9.0%, p=0.02) after discharge, while LOS was similar. After adjusting for covariates, SIBR was not significantly related to the odds of 30-day readmission (OR 0.81, p=0.07) but was lower for 7-day readmission (OR 0.70, p=0.03); LOS was similar in both groups (p=0.58). CONCLUSION: SIBR did not reduce LOS and 30-day readmissions but had a significant impact on 7-day readmissions.

Wake Forest University long-term follow-up of type 2 myocardial infarction: The Wake-Up T2MI Registry.

BACKGROUND: The Wake-Up T2MI Registry is a retrospective cohort study investigating patients with type 2 myocardial infarction (T2MI), acute myocardial injury, and chronic myocardial injury. We aim to explore risk stratification strategies and investigate clinical characteristics, management, and short- and long-term outcomes in this high-risk, understudied population. METHODS: From 1 January 2009 to 31 December 2010, 2846 patients were identified with T2MI or myocardial injury defined as elevated cardiac troponin I with at least one value above the 99th percentile upper reference limit and coefficient of variation of 10% (>40 ng/L) and meeting our inclusion criteria. Data of at least two serial troponin values will be collected from the electronic health records to differentiate between acute and chronic myocardial injury. The Fourth Universal Definition will be used to classify patients as having (a) T2MI, (b) acute myocardial injury, or (c) chronic myocardial injury during the index hospitalization. Long-term mortality data will be collected through data linkage with the National Death Index and North Carolina State Vital Statistics. RESULTS: We have collected data for a total of 2205 patients as of November 2018. The mean age of the population was 65.6 ± 16.9 years, 48% were men, and 64% were white. Common comorbidities included hypertension (71%), hyperlipidemia (35%), and diabetes mellitus (30%). At presentation, 40% were on aspirin, 38% on ß-blockers, and 30% on statins. CONCLUSION: Improved characterization and profiling of this cohort may further efforts to identify evidence-based strategies to improve cardiovascular outcomes among patients with T2MI and myocardial injury.

Electrocardiographic subclinical myocardial injury and alcohol consumption: a cross-sectional analysis of data from the Third National Health and Nutrition Examination Survey.

BACKGROUND: Cardiac Infarction/Injury Score (CIIS), an electrocardiographic based scoring system, is a surrogate marker of subclinical myocardial injury (SC-MI) and has shown excellent prognostic value in predicting future cardiovascular mortality. As an association of mild to moderate alcohol consumption with cardiovascular disease (CVD) is conflicting, using an electrocardiographic based scoring system such as CIIS is a simple and cost-effective way to investigate this controversial relationship. METHODS: This analysis included 6090 participants (58.42±13.12 years, 54.2% women) free of CVD from the Third National Health and Nutrition Examination Survey (NHANES III). We used multivariable linear regression analysis to examine the cross-sectional association between each alcohol category (non-drinker (reference), 1-6 drinks/week, 7-13 drinks/week, ≥14 drinks/week, and CIIS. SC-MI was defined as CIIS ≥10 units. RESULTS: The prevalence of SC-MI was high among heavy drinkers (≥14 drinks/week) and was lower in participants who were moderate drinkers (7-13 drinks/week). There was a statistically significant and inverse association between moderate alcohol consumption and CIIS (ß (95% CI): -0.64 (-1.27, -0.007), P = 0.04) using multivariable linear regression analysis. This inverse association between moderate alcohol consumption and CIIS was more striking among whites compared to non-whites (ß (95% CI): -1.06 (-1.93, -0.19) vs. 0.05 (-0.91, 1.00) respectively; interaction p-value = 0.08). Also, the association was stronger among women and older participants, however interaction p-value did not reach statistical significance. CONCLUSION: There is an inverse association between moderate alcohol consumption and CIIS in participants without manifestations of CVD. As lower CIIS has been associated with low risk of poor outcomes including CVD mortality, these findings further support the existing evidence of the potential benefits of moderate alcohol consumption on cardiovascular health.