Serious illness communication skills training for emergency physicians and advanced practice providers: a multi-method assessment of the reach and effectiveness of the intervention.

BACKGROUND: EM Talk is a communication skills training program designed to improve emergency providers' serious illness conversational skills. Using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, this study aims to assess the reach of EM Talk and its effectiveness. METHODS: EM Talk consisted of one 4-h training session during which professional actors used role-plays and active learning to train providers to deliver serious/bad news, express empathy, explore patients' goals, and formulate care plans. After the training, emergency providers filled out an optional post-intervention survey, which included course reflections. Using a multi-method analytical approach, we analyzed the reach of the intervention quantitatively and the effectiveness of the intervention qualitatively using conceptual content analysis of open-ended responses. RESULTS: A total of 879 out of 1,029 (85%) EM providers across 33 emergency departments completed the EM Talk training, with the training rate ranging from 63 to 100%. From the 326 reflections, we identified meaning units across the thematic domains of improved knowledge, attitude, and practice. The main subthemes across the three domains were the acquisition of Serious Illness (SI) communication skills, improved attitude toward engaging qualifying patients in SI conversations, and commitment to using these learned skills in clinical practice. CONCLUSION: Our study showed the extensive reach and the effectiveness of the EM Talk training in improving SI conversation. EM Talk, therefore, can potentially improve emergency providers' knowledge, attitude, and practice of SI communication skills. TRIAL REGISTRATION: Clinicaltrials.gov: NCT03424109; Registered on January 30, 2018.

Emergency Nurses' Perceived Barriers and Solutions to Engaging Patients With Life-Limiting Illnesses in Serious Illness Conversations: A United States Multicenter Mixed-Method Analysis.

INTRODUCTION: This study aimed to assess emergency nurses' perceived barriers toward engaging patients in serious illness conversations. METHODS: Using a mixed-method (quant + QUAL) convergent design, we pooled data on the emergency nurses who underwent the End-of-Life Nursing Education Consortium training across 33 emergency departments. Data were extracted from the End-of-Life Nursing Education Consortium post-training questionnaire, comprising a 5-item survey and 1 open-ended question. Our quantitative analysis employed a cross-sectional design to assess the proportion of emergency nurses who report that they will encounter barriers in engaging seriously ill patients in serious illness conversations in the emergency department. Our qualitative analysis used conceptual content analysis to generate themes and meaning units of the perceived barriers and possible solutions toward having serious illness conversations in the emergency department. RESULTS: A total of 2176 emergency nurses responded to the survey. Results from the quantitative analysis showed that 1473 (67.7%) emergency nurses reported that they will encounter barriers while engaging in serious illness conversations. Three thematic barriers-human factors, time constraints, and challenges in the emergency department work environment-emerged from the content analysis. Some of the subthemes included the perceived difficulty of serious illness conversations, delay in daily throughput, and lack of privacy in the emergency department. The potential solutions extracted included the need for continued training, the provision of dedicated emergency nurses to handle serious illness conversations, and the creation of dedicated spaces for serious illness conversations. DISCUSSION: Emergency nurses may encounter barriers while engaging in serious illness conversations. Institutional-level policies may be required in creating a palliative care-friendly emergency department work environment.

Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring.

BACKGROUND: Numerous clinical trials have been initiated to find effective treatments for COVID-19. These trials have often been initiated in regions where the pandemic has already peaked. Consequently, achieving full enrollment in a single trial might require additional COVID-19 surges in the same location over several years. This has inspired us to pool individual patient data (IPD) from ongoing, paused, prematurely-terminated, or completed randomized controlled trials (RCTs) in real-time, to find an effective treatment as quickly as possible in light of the pandemic crisis. However, pooling across trials introduces enormous uncertainties in study design (e.g., the number of RCTs and sample sizes might be unknown in advance). We sought to develop a versatile treatment efficacy assessment model that accounts for these uncertainties while allowing for continuous monitoring throughout the study using Bayesian monitoring techniques. METHODS: We provide a detailed look at the challenges and solutions for model development, describing the process that used extensive simulations to enable us to finalize the analysis plan. This includes establishing prior distribution assumptions, assessing and improving model convergence under different study composition scenarios, and assessing whether we can extend the model to accommodate multi-site RCTs and evaluate heterogeneous treatment effects. In addition, we recognized that we would need to assess our model for goodness-of-fit, so we explored an approach that used posterior predictive checking. Lastly, given the urgency of the research in the context of evolving pandemic, we were committed to frequent monitoring of the data to assess efficacy, and we set Bayesian monitoring rules calibrated for type 1 error rate and power. RESULTS: The primary outcome is an 11-point ordinal scale. We present the operating characteristics of the proposed cumulative proportional odds model for estimating treatment effectiveness. The model can estimate the treatment's effect under enormous uncertainties in study design. We investigate to what degree the proportional odds assumption has to be violated to render the model inaccurate. We demonstrate the flexibility of a Bayesian monitoring approach by performing frequent interim analyses without increasing the probability of erroneous conclusions. CONCLUSION: This paper describes a translatable framework using simulation to support the design of prospective IPD meta-analyses.

A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis.

BACKGROUND: Missing data is a pervasive problem in longitudinal data analysis. Several single-imputation (SI) and multiple-imputation (MI) approaches have been proposed to address this issue. In this study, for the first time, the function of the longitudinal regression tree algorithm as a non-parametric method after imputing missing data using SI and MI was investigated using simulated and real data. METHOD: Using different simulation scenarios derived from a real data set, we compared the performance of cross, trajectory mean, interpolation, copy-mean, and MI methods (27 approaches) to impute missing longitudinal data using parametric and non-parametric longitudinal models and the performance of the methods was assessed in real data. The real data included 3,645 participants older than 18 years within six waves obtained from the longitudinal Tehran cardiometabolic genetic study (TCGS). The data modeling was conducted using systolic and diastolic blood pressure (SBP/DBP) as the outcome variables and included predictor variables such as age, gender, and BMI. The efficiency of imputation approaches was compared using mean squared error (MSE), root-mean-squared error (RMSE), median absolute deviation (MAD), deviance, and Akaike information criteria (AIC). RESULTS: The longitudinal regression tree algorithm outperformed based on the criteria such as MSE, RMSE, and MAD than the linear mixed-effects model (LMM) for analyzing the TCGS and simulated data using the missing at random (MAR) mechanism. Overall, based on fitting the non-parametric model, the performance of the 27 imputation approaches was nearly similar. However, the SI traj-mean method improved performance compared with other imputation approaches. CONCLUSION: Both SI and MI approaches performed better using the longitudinal regression tree algorithm compared with the parametric longitudinal models. Based on the results from both the real and simulated data, we recommend that researchers use the traj-mean method for imputing missing values of longitudinal data. Choosing the imputation method with the best performance is widely dependent on the models of interest and the data structure.

Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized Trials.

Cluster-randomized trials (CRTs) often allocate intact clusters of participants to treatment or control conditions and are increasingly used to evaluate healthcare delivery interventions. While previous studies have developed sample size methods for testing confirmatory hypotheses of treatment effect heterogeneity in CRTs (i.e., targeting the difference between subgroup-specific treatment effects), sample size methods for testing the subgroup-specific treatment effects themselves have not received adequate attention-despite a rising interest in health equity considerations in CRTs. In this article, we develop formal methods for sample size and power analyses for testing subgroup-specific treatment effects in parallel-arm CRTs with a continuous outcome and a binary subgroup variable. We point out that the variances of the subgroup-specific treatment effect estimators and their covariance are given by weighted averages of the variance of the overall average treatment effect estimator and the variance of the heterogeneous treatment effect estimator. This analytical insight facilitates an explicit characterization of the requirements for both the omnibus test and the intersection-union test to achieve the desired level of power. Generalizations to allow for subgroup-specific variance structures are also discussed. We report on a simulation study to validate the proposed sample size methods and demonstrate that the empirical power corresponds well with the predicted power for both tests. The design and setting of the Umea Dementia and Exercise (UMDEX) CRT in older adults are used to illustrate our sample size methods.

Providing Hearing Assistance to Veterans in the Emergency Department: A Qualitative Study.

INTRODUCTION: Effective communication is essential to good health care, and hearing loss disrupts patient-provider communication. For the more than 2 million veterans with severe hearing loss, communication is particularly challenging in noisy health care environments such as emergency departments. The purpose of this qualitative study was to describe patient and provider perspectives of feasibility and potential benefit of providing a hearing assistance device, a personal amplifier, during visits to an emergency department in an urban setting affiliated with the Department of Veterans Affairs. METHODS: This qualitative descriptive study was conducted in parallel with a randomized controlled study. We completed a semistructured interview with 11 veterans and 10 health care providers to elicit their previous experiences with patient-provider communication in the ED setting and their perspectives on hearing screening and using the personal amplifier in the emergency department. Interview data were analyzed using content analysis and Atlas.ti V8.4 software (Scientific Software Development GmbH, Berlin, Germany). RESULTS: The veteran sample (n = 11) had a mean age of 80.3 years (SD = 10.2). The provider sample included 7 nurses and 3 physicians. In the ED setting, hearing loss disrupts patient-provider communication. Screening for hearing loss in the emergency department was feasible except in urgent/emergent cases. The use of the personal amplifier made communication more effective and less effortful for both veterans and providers. DISCUSSION: Providing the personal amplifier improved the ED experience for veterans and offers a promising intervention that could improve health care quality and safety for ED patient populations.

Prospective individual patient data meta-analysis: Evaluating convalescent plasma for COVID-19.

As the world faced the devastation of the COVID-19 pandemic in late 2019 and early 2020, numerous clinical trials were initiated in many locations in an effort to establish the efficacy (or lack thereof) of potential treatments. As the pandemic has been shifting locations rapidly, individual studies have been at risk of failing to meet recruitment targets because of declining numbers of eligible patients with COVID-19 encountered at participating sites. It has become clear that it might take several more COVID-19 surges at the same location to achieve full enrollment and to find answers about what treatments are effective for this disease. This paper proposes an innovative approach for pooling patient-level data from multiple ongoing randomized clinical trials (RCTs) that have not been configured as a network of sites. We present the statistical analysis plan of a prospective individual patient data (IPD) meta-analysis (MA) from ongoing RCTs of convalescent plasma (CP). We employ an adaptive Bayesian approach for continuously monitoring the accumulating pooled data via posterior probabilities for safety, efficacy, and harm. Although we focus on RCTs for CP and address specific challenges related to CP treatment for COVID-19, the proposed framework is generally applicable to pooling data from RCTs for other therapies and disease settings in order to find answers in weeks or months, rather than years.

Data from emergency medicine palliative care access (EMPallA): a randomized controlled trial comparing the effectiveness of specialty outpatient versus telephonic palliative care of older adults with advanced illness presenting to the emergency department.

BACKGROUND: The Emergency Medicine Palliative Care Access (EMPallA) trial is a large, multicenter, parallel, two-arm randomized controlled trial in emergency department (ED) patients comparing two models of palliative care: nurse-led telephonic case management and specialty, outpatient palliative care. This report aims to: 1) report baseline demographic and quality of life (QOL) data for the EMPallA cohort, 2) identify the association between illness type and baseline QOL while controlling for other factors, and 3) explore baseline relationships between illness type, symptom burden, and loneliness. METHODS: Patients aged 50+ years with advanced cancer (metastatic solid tumor) or end-stage organ failure (New York Heart Association Class III or IV heart failure, end stage renal disease with glomerular filtration rate < 15 mL/min/m2, or Global Initiative for Chronic Obstructive Lung Disease Stage III, IV, or oxygen-dependent chronic obstructive pulmonary disease defined as FEV1 < 50%) are eligible for enrollment. Baseline data includes self-reported demographics, QOL measured by the Functional Assessment of Cancer Therapy-General (FACT-G), loneliness measured by the Three-Item UCLA Loneliness Scale, and symptom burden measured by the Edmonton Revised Symptom Assessment Scale. Descriptive statistics were used to analyze demographic variables, a linear regression model measured the importance of illness type in predicting QOL, and chi-square tests of independence were used to quantify relationships between illness type, symptom burden, and loneliness. RESULTS: Between April 2018 and April 3, 2020, 500 patients were enrolled. On average, end-stage organ failure patients had lower QOL as measured by the FACT-G scale than cancer patients with an estimated difference of 9.6 points (95% CI: 5.9, 13.3), and patients with multiple conditions had a further reduction of 7.4 points (95% CI: 2.4, 12.5), when adjusting for age, education level, race, sex, immigrant status, presence of a caregiver, and hospital setting. Symptom burden and loneliness were greater in end-stage organ failure than in cancer. CONCLUSIONS: The EMPallA trial is enrolling a diverse sample of ED patients. Differences by illness type in QOL, symptom burden, and loneliness demonstrate how distinct disease trajectories manifest in the ED. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT03325985 . Registered October 30, 2017.

Early Emotion Knowledge and Later Academic Achievement Among Children of Color in Historically Disinvested Neighborhoods.

This study examined longitudinal relations between emotion knowledge (EK) in pre-kindergarten (pre-K; Mage  = 4.8 years) and math and reading achievement 1 and 3 years later in a sample of 1,050 primarily Black children (over half from immigrant families) living in historically disinvested neighborhoods. Participants were part of a follow-up study of a cluster randomized controlled trial. Controlling for pre-academic skills, other social-emotional skills, sociodemographic characteristics, and school intervention status, higher EK at the end of pre-K predicted higher math and reading achievement test scores in kindergarten and second grade. Moderation analyses suggest that relations were attenuated among children from immigrant families. Findings suggest the importance of enriching pre-K programs for children of color with EK-promotive interventions and strategies.

Feasibility and Outcomes of an Electronic Health Record Intervention to Improve Hypertension Management in Immigrant-serving Primary Care Practices.

BACKGROUND: South Asians experience a disproportionate burden of high blood pressure (BP) in the United States, arguably the most preventable risk factor for cardiovascular disease. OBJECTIVE: We report 12-month results of an electronic health record (EHR)-based intervention, as a component of a larger project, "Implementing Million Hearts for Provider and Community Transformation." The EHR intervention included launching hypertension patient registries and implementing culturally tailored alerts and order sets to improve hypertension control among patients treated in 14 New York City practices located in predominantly South Asian immigrant neighborhoods. DESIGN: Using a modified stepped-wedge quasi-experimental study design, practice-level EHR data were extracted, and individual-level data were obtained on a subset of patients insured by a Medicaid insurer via their data warehouse. The primary aggregate outcome was change in proportion of hypertensive patients with controlled BP; individual-level outcomes included average systolic BP (SBP) and diastolic BP (DBP) at last clinic visit. Qualitative interviews were conducted to assess intervention feasibility. MEASURES: Hypertension was defined as having at least 1 hypertension ICD-9/10 code. Well-controlled hypertension was defined as SBP<140 and DBP<90 mm Hg. RESULTS: Postintervention, we observed a significant improvement in hypertension control at the practice level, adjusting for age and sex patient composition (adjusted relative risk, 1.09; 95% confidence interval, 1.04-1.14). Among the subset of Medicaid patients, we observed a significant reduction in average SBP and DBP adjusting for time, age, and sex, by 1.71 and 1.13 mm Hg, respectively (P<0.05). Providers reported feeling supported and satisfied with EHR components. CONCLUSIONS: EHR initiatives in practices serving immigrants and minorities may enhance practice capabilities to improve hypertension control.

Use of online opioid overdose prevention training for first-year medical students: A comparative analysis of online versus in-person training.

Purpose: In response to the opioid epidemic and efforts to expand substance use education in medical school, the authors introduced opioid overdose prevention training (OOPT) with naloxone for all first-year medical students (MS1s) as an adjunct to required basic life support training (BLST). The authors previously demonstrated improved knowledge and preparedness following in-person OOPT with BLST; however, it remains unclear whether online-administered OOPT would produce comparable results. In this study, the authors perform a retrospective comparison of online-administered OOPT with in-person-administered OOPT. Objectives: To compare the educational outcomes: knowledge, preparedness, and attitudes, for online versus in-person OOPT. Methods: In-person OOPT was administered in 2014 and 2015 during BLST, whereas online OOPT was administered in 2016 during BLST pre-work. MS1s completed pre- and post-training tests covering 3 measures: knowledge (11-point scale), attitudes (66-point scale), and preparedness (60-point scale) to respond to an opioid overdose. Online scores from 2016 and in-person scores from 2015 were compared across all 3 measures using analysis of covariance (ANCOVA) methods. Results: After controlling for pre-test scores, there were statistical, but no meaningful, differences across all measures for in-person- and online-administered training. The estimated differences were knowledge: -0.05 (0.5%) points (95% confidence interval [CI]: -0.47, 0.36); attitudes: 0.65 (1.0%) points (95% CI: -0.22, 1.51); and preparedness: 2.16 (3.6%) points (95% CI: 1.04, 3.28). Conclusions: The educational outcomes of online-administered OOPT compared with in-person-administered OOPT were not meaningfully different. These results support the use of online-administered OOPT. As our study was retrospective, based on data collected over multiple years, further investigation is needed in a randomized controlled setting, to better understand the educational differences of in-person and online training. Further expanding OOPT to populations beyond medical students would further improve generalizability.

Evaluation of the Substance Abuse Research and Education Training (SARET) program: Stimulating health professional students to pursue careers in substance use research.

BACKGROUND: We developed and implemented the Substance Abuse Research Education and Training (SARET) program for medical, dental, nursing, and social work students to address the dearth of health professionals pursuing research and careers in substance use disorders (SUD). SARET has 2 main components: (1) a novel online curriculum addressing core SUD research topics, to reach a large number of students; (2) a mentored summer research experience for in-depth exposure. METHODS: Modules were integrated into the curricula of the lead institution, and of 5 external schools. We assessed the number of Web modules completed and their effect on students' interest in SUD research. We also assessed the impact of the mentorship experience on participants' attitudes and early career trajectories, including current involvement in SUD research. RESULTS: Since 2008, over 24,000 modules have been completed by approximately 9700 individuals. In addition to integration of the modules into curricula at the lead institution, all 5 health-professional partner schools integrated at least 1 module and approximately 5500 modules were completed by individuals outside the lead institution. We found an increase in interest in SUD research after completion of the modules for students in all 4 disciplines. From 2008 to 2015, 76 students completed summer mentorships; 8 students completed year-long mentorships; 13 published in SUD-related journals, 18 presented at national conferences, and 3 are actively engaged in SUD-related research. Mentorship participants reported a positive influence on their attitudes towards SUD-related clinical care, research, and interprofessional collaboration, leading in some cases to changes in career plans. CONCLUSIONS: A modular curriculum that stimulates clinical and research interest in SUD can be successfully integrated into medical, dental, nursing, and social work curricula. The SARET program of mentored research participation fostered early research successes and influenced career choice of some participants. Longer-term follow-up will enable us to assess more distal careers of the program.

Protocol for project IMPACT (improving millions hearts for provider and community transformation): a quasi-experimental evaluation of an integrated electronic health record and community health worker intervention study to improve hypertension management among South Asian patients.

BACKGROUND: The Million Hearts® initiative aims to prevent heart disease and stroke in the United States by mobilizing public and private sectors around a core set of objectives, with particular attention on improving blood pressure control. South Asians in particular have disproportionately high rates of hypertension and face numerous cultural, linguistic, and social barriers to accessing healthcare. Interventions utilizing Health information technology (HIT) and community health worker (CHW)-led patient coaching have each been demonstrated to be effective at advancing Million Hearts® goals, yet few studies have investigated the potential impact of integrating these strategies into a clinical-community linkage initiative. Building upon this initiative, we present the protocol and preliminary results of a research study, Project IMPACT, designed to fill this gap in knowledge. METHODS: Project IMPACT is a stepped wedge quasi-experimental study designed to test the feasibility, adoption, and impact of integrating CHW-led health coaching with electronic health record (EHR)-based interventions to improve hypertension control among South Asian patients in New York City primary care practices. EHR intervention components include the training and implementation of hypertension-specific registry reports, alerts, and order sets. Fidelity to the EHR intervention is assessed by collecting the type, frequency, and utilization of intervention components for each practice. CHW intervention components consist of health coaching sessions on hypertension and related risk factors for uncontrolled hypertensive patients. The outcome, hypertension control (<140 mmHg systolic blood pressure (BP) and <90 mmHg diastolic BP), is collected at the aggregate- and individual-level for all 16 clinical practices enrolled. DISCUSSION: Project IMPACT builds upon the evidence base of the effectiveness of CHW and Million Hearts® initiatives and proposes a unique integration of provider-based EHR and community-based CHW interventions. The project informs the effectiveness of these interventions in team-based care approaches, thereby, helping to develop relevant sustainability strategies for improving hypertension control among targeted racial/ethnic minority populations at small primary care practices. TRIAL REGISTRATION: This study protocol has been approved and is made available on Clinicaltrials.gov by NCT03159533 as of May 17, 2017.

System Changes to Implement the Joint Commission Tobacco Treatment (TOB) Performance Measures for Improving the Treatment of Tobacco Use Among Hospitalized Patients.

BACKGROUND: In 2012 The Joint Commission implemented new Tobacco Treatment (TOB) performance measures for hospitals. A study evaluated the impact of a hospital-based electronic health record (EHR) intervention on adherence to the revised TOB measures. METHODS: The study was conducted in two acute care hospitals in New York City. Data abstracted from the EHR were analyzed retrospectively from 4,871 smokers discharged between December 2012 and March 2015 to evaluate the impact of two interventions: an order set to prompt clinicians to prescribe pharmacotherapy and a nurse-delivered counseling module that automatically populated the nursing care plan for all smokers. The study estimated the relative odds of a patient being prescribed medication and/or receiving smoking cessation counseling in the intervention period compared to the baseline time period. RESULTS: There was a modest increase in medication orders (odds ratio [OR], 1.35). In contrast, rates of counseling increased 10-fold (OR, 10.54). Patients admitted through surgery were less likely to receive both counseling and medication compared with the medicine service. CONCLUSION: Hospitalization presents an important opportunity to engage smokers in treatment for primary and secondary prevention of tobacco-related illnesses. EHRs can be leveraged to facilitate integration of TOB measure requirements into routine inpatient care; however, the smaller effect on prescribing patterns suggests limitations in this approach alone in changing clinician behavior to meet this measure. The success of the nurse-focused EHR-driven intervention suggests an effective tool for integrating the cessation counseling component of the new measures and the importance of nursing's role in achieving the Joint Commission measure targets.

What happens to patients with COPD with long-term oxygen treatment who receive mechanical ventilation for COPD exacerbation? A 1-year retrospective follow-up study.

We performed a retrospective cohort study of patients with chronic obstructive lung disease (COPD) on long-term oxygen treatment (LTOT) who received invasive mechanical ventilation for COPD exacerbation. Of the 4791 patients, 23% died in the hospital, and 45% died in the subsequent 12 months. 67% of patients were readmitted at least once in the subsequent 12 months, and 26.8% were discharged to a nursing home or skilled nursing facility within 30 days. We conclude that these patients have high mortality rates, both in-hospital and in the 12 months postdischarge. If patients survive, many will be readmitted to the hospital and discharged to nursing home. These potential outcomes may support informed critical care decision making and more preference congruent care.

Impact of an Intervention to Improve Weekend Hospital Care at an Academic Medical Center: An Observational Study.

BACKGROUND: Hospital care on weekends has been associated with delays in care, reduced quality, and poor clinical outcomes. OBJECTIVE: The purpose of this study was to evaluate the impact of a weekend hospital intervention on processes of care and clinical outcomes. The multifaceted intervention included expanded weekend diagnostic services, improved weekend discharge processes, and increased physician and care management services on weekends. DESIGN AND PATIENTS: This was an interrupted time series observational study of adult non-obstetric patients hospitalized at a single academic medical center between January 2011 and January 2014. The study included 18 months prior to and 19 months following the implementation of the intervention. Data were analyzed using segmented regression analysis with adjustment for confounders. MAIN MEASURES: The primary outcome was average length of stay. Secondary outcomes included percent of patients discharged on weekends, 30-day readmission rate, and in-hospital mortality rate. KEY RESULTS: The study included 57,163 hospitalizations. Following implementation of the intervention, average length of stay decreased by 13 % (95 % CI 10-15 %) and continued to decrease by 1 % (95 % CI 1-2 %) per month as compared to the underlying time trend. The proportion of weekend discharges increased by 12 % (95 % CI 2-22 %) at the time of the intervention and continued to increase by 2 % (95 % CI 1-3 %) per month thereafter. The intervention had no impact on readmissions or mortality. During the post-implementation period, the hospital was evacuated and closed for 2 months due to damage from Hurricane Sandy, and a new hospital-wide electronic health record was introduced. The contributions of these events to our findings are not known. We observed a lower inpatient census and found differences in patient characteristics, including higher rates of Medicaid insurance and comorbidities, in the post-Hurricane Sandy period as compared to the pre-Sandy period. CONCLUSIONS: The intervention was associated with a reduction in length of stay and an increase in weekend discharges. Our longitudinal study also illuminated the challenges of evaluating the effectiveness of a large-scale intervention in a real-world hospital setting.

Psychiatric Comorbidity and Substance Use Outcomes in an Office-Based Buprenorphine Program Six Months Following Hurricane Sandy.

BACKGROUND: On October 2012, Hurricane Sandy struck New York City, resulting in unprecedented damages, including the temporary closure of Bellevue Hospital Center and its primary care office-based buprenorphine program. OBJECTIVES: At 6 months, we assessed factors associated with higher rates of substance use in buprenorphine program participants that completed a baseline survey one month post-Sandy (i.e. shorter length of time in treatment, exposure to storm losses, a pre-storm history of positive opiate urine drug screens, and post-disaster psychiatric symptoms). METHODOLOGY: Risk factors of interest extracted from the electronic medical records included pre-disaster diagnosis of Axis I and/or II disorders and length of treatment up to the disaster. Factors collected from the baseline survey conducted approximately one month post-Sandy included self-reported buprenorphine supply disruption, health insurance status, disaster exposure, and post-Sandy screenings for PTSD and depression. Outcome variables reviewed 6 months post-Sandy included missed appointments, urine drug results for opioids, cocaine, and benzodiazepines. RESULTS: 129 (98%) patients remained in treatment at 6 months, and had no sustained increases in opioid-, cocaine-, and benzodiazepine-positive urine drug tests in any sub-groups with elevated substance use in the baseline survey. Contrary to our initial hypothesis, diagnosis of Axis I and/or II disorders pre-Sandy were associated with significantly less opioid-positive urine drug findings in the 6 months following Sandy compared to the rest of the clinic population. CONCLUSION: These findings demonstrate the adaptability of a safety net buprenorphine program to ensure positive treatment outcomes despite disaster-related factors.

Emergency department visits for heart failure and subsequent hospitalization or observation unit admission.

BACKGROUND: Treatment of acute heart failure in the emergency department (ED) or observation unit is an alternative to hospitalization. Both ED management and observation unit management have been associated with reduced costs and may be used to avoid penalties related to rehospitalizations. The purpose of this study was to examine trends in ED visits for heart failure and disposition following such visits. METHODS: We used the National Hospital Ambulatory Medical Care Survey, a representative sample of ED visits in the United States, to estimate rates and characteristics of ED visits for heart failure between 2002 and 2010. The primary outcome was the discharge disposition from the ED. Regression models were fit to estimate trends and predictors of hospitalization and admission to an observation unit. RESULTS: The number of ED visits for heart failure remained stable over the period, from 914,739 in 2002 to 848,634 in 2010 (annual change -0.7%, 95% CI -3.7% to +2.5%). Of these visits, 74.2% led to hospitalization, wheras 3.1% led to observation unit admission. The likelihood of hospitalization did not change during the period (adjusted prevalence ratio 1.00, 95% CI 0.99-1.01 for each additional year), whereas admission to the observation unit increased annually (adjusted prevalence ratio 1.12, 95% CI 1.01-1.25). We observed significant regional differences in likelihood of hospitalization and observation admission. CONCLUSIONS: The number of ED visits for heart failure and the high proportion of ED visits with subsequent inpatient hospitalization have not changed in the last decade. Opportunities may exist to reduce hospitalizations by increasing short-term management of heart failure in the ED or observation unit.

Association of weekend continuity of care with hospital length of stay.

OBJECTIVE: The purpose of this study was to evaluate the association of physician continuity of care with length of stay, likelihood of weekend discharge, in-hospital mortality and 30-day readmission. DESIGN: A cohort study of hospitalized medical patients. The primary exposure was the weekend usual provider continuity (UPC) over the initial weekend of care. This metric was adapted from an outpatient continuity of care index. Regression models were developed to determine the association between UPC and outcomes. SETTING: An academic medical center. MAIN OUTCOME MEASURE: Length of stay which was calculated as the number of days from the first Saturday of the hospitalization to the day of discharge. RESULTS: Of the 3391 patients included in this study, the prevalence of low, moderate and high UPC for the initial weekend of hospitalization was 58.7, 22.3 and 19.1%, respectively. When compared with low continuity of care, both moderate and high continuity of care were associated with reduced length of stay, with adjusted rate ratios of 0.92 (95% CI 0.86-1.00) and 0.64 (95% CI 0.53-0.76), respectively. High continuity of care was associated with likelihood of weekend discharge (adjusted odds ratio 2.84, 95% CI 2.11-3.83) but was not significantly associated with mortality (adjusted odds ratio 0.72, 95% CI 0.29-1.80) or readmission (adjusted odds ratio 0.88, 95% CI 0.68-1.14) when compared with low continuity of care. CONCLUSIONS: Increased weekend continuity of care is associated with reduced length of stay. Improvement in weekend cross-coverage and patient handoffs may be useful to improve clinical outcomes.