A pragmatic clinical trial assessing the effect of a targeted notification and clinical support pathway on the diagnostic evaluation and treatment of individuals with left ventricular hypertrophy (NOTIFY-LVH).

BACKGROUND: Electronic health records contain vast amounts of cardiovascular data, including potential clues suggesting unrecognized conditions. One important example is the identification of left ventricular hypertrophy (LVH) on echocardiography. If the underlying causes are untreated, individuals are at increased risk of developing clinically significant pathology. As the most common cause of LVH, hypertension accounts for more cardiovascular deaths than any other modifiable risk factor. Contemporary healthcare systems have suboptimal mechanisms for detecting and effectively implementing hypertension treatment before downstream consequences develop. Thus, there is an urgent need to validate alternative intervention strategies for individuals with preexisting-but potentially unrecognized-LVH. METHODS: Through a randomized pragmatic trial within a large integrated healthcare system, we will study the impact of a centralized clinical support pathway on the diagnosis and treatment of hypertension and other LVH-associated diseases in individuals with echocardiographic evidence of concentric LVH. Approximately 600 individuals who are not treated for hypertension and who do not have a known cardiomyopathy will be randomized. The intervention will be directed by population health coordinators who will notify longitudinal clinicians and offer to assist with the diagnostic evaluation of LVH. Our hypothesis is that an intervention that alerts clinicians to the presence of LVH will increase the detection and treatment of hypertension and the diagnosis of alternative causes of thickened myocardium. The primary outcome is the initiation of an antihypertensive medication. Secondary outcomes include new hypertension diagnoses and new cardiomyopathy diagnoses. The trial began in March 2023 and outcomes will be assessed 12 months from the start of follow-up. CONCLUSION: The NOTIFY-LVH trial will assess the efficacy of a centralized intervention to improve the detection and treatment of hypertension and LVH-associated diseases. Additionally, it will serve as a proof-of-concept for how to effectively utilize previously collected electronic health data to improve the recognition and management of a broad range of chronic cardiovascular conditions. TRIAL REGISTRATION: NCT05713916.

Association of an Acute Myocardial Infarction Readmission-Reduction Program With Mortality and Readmission.

BACKGROUND: Reducing hospital readmission after acute myocardial infarction (AMI) has the potential to both improve quality and reduce costs. As such, readmission after AMI has been a target of financial penalties through Medicare. However, substantial concern exists about potential adverse effects and efficacious readmission-reduction strategies are not well validated. METHODS AND RESULTS: We started an AMI readmissions reduction program in November 2017. Between July 2016 and February 2019, hospital billing data were queried to detect all inpatient hospitalizations at the Massachusetts General Hospital for AMI. Thirty-day readmission was identified through hospital billing data, and mortality was extracted from our electronic health record. The data set was merged with claims data for patients in accountable care organizations to detect readmission at other hospitals. We performed segmented linear regression, adjusting for secular trend and case mix, to assess the independent association of our program on both outcome variables. After inclusion and exclusion criteria were applied, the study population included 2020 patients. The overall 30-day readmission rate was higher before the intervention than after the intervention (15.5% versus 10.7%, P=0.002). The overall 30-day mortality rate was similar in both time periods (1.8% versus 1.4%, P=0.457). The program was associated with initial reduction in 30-day readmission (-9.8%, P=0.0002) and 30-day mortality (-2.6%, P=0.041). The program did not change trend in 30-day readmission (+0.19% readmissions/mo, P=0.554) and trend in 30-day mortality (-0.21% deaths/mo, P=0.119). CONCLUSIONS: An AMI readmissions reduction program that increases outpatient and emergency department (ED) access to cardiology care is associated with reduced 30-day readmission and 30-day mortality. Similar statistical techniques can be used to conduct a rigorous, mechanistic program evaluation of other quality improvement initiatives.

Utility, Appropriateness, and Content of Electronic Consultations Across Medical Subspecialties.

BACKGROUND: Electronic consultations (e-consults) can facilitate patient access to specialists, minimize travel, and reduce unnecessary in-person visits. However, metrics to enable study of e-consults and their effect on processes and patient care are lacking. OBJECTIVE: To assess novel metrics of e-consult appropriateness and utility. DESIGN: Retrospective cohort study. SETTING: Primary and specialty care practices at 2 large academic and 2 community hospitals of an integrated health system. PARTICIPANTS: Patients with e-consult requests to 5 specialties-hematology, infectious disease, dermatology, rheumatology, and psychiatry-between October 2017 and November 2018. MEASUREMENTS: The appropriateness of e-consult inquiries was assessed by review of medical records and defined as meeting the following 4 criteria: not answerable by reviewing evidence-based summary sources ("point-of-care resource test"), not merely requesting logistic information, having appropriate clinical urgency, and having appropriate patient complexity. Interrater agreement in assessments of e-consult appropriateness was assessed by the κ statistic. Utility of e-consults was assessed by the rate of avoided visits (AVs), defined by the absence of an in-person visit to the same specialty within 120 days. RESULTS: Overall, 6512 eligible e-consults were made by 1096 referring providers to 121 specialist consultants. Inquiries were characterized as diagnostic, therapeutic, for provider education, or at the request of the patient. Most consultations were answered within 1 day, with variation across specialties (73.1% for psychiatry to 87.8% for infectious disease). Overall, 70.2% of e-consults met all 4 criteria for appropriateness; the frequency of unmet criteria varied among specialties. Raters agreed on the appropriateness of 94% of e-consults (κ = 0.57 [95% CI, 0.36 to 0.79]), indicating moderate agreement. The overall rate of AVs across the 5 specialties was 81.2%; the highest rate was in psychiatry (92.6%) and the lowest in dermatology (61.9%). LIMITATION: Generalizability is unknown outside a single integrated health system, where requesting and consulting providers share a common electronic health record. CONCLUSION: Novel metrics to assess the appropriateness and utility of e-consults provide meaningful insight into practice, provide a rubric for comparison in future studies in additional settings, and suggest areas to improve resource use and patient care. PRIMARY FUNDING SOURCE: None.

Predictors of MRI Leakage Among Patients Attributed to an Academic Medical Center Commercial Risk-Shared Insurance Contract.

PURPOSE: For health care organizations engaged in risk-shared insurance contracts, leakage of advanced diagnostic imaging to imaging sites not affiliated with the risk-sharing organization may undermine performance on financial and quality metrics. The goal of this study was to identify factors that are predictive of leakage of MRI examinations among patients attributed to an academic health care organization's risk-shared commercial insurance contract. METHODS: Administrative claims data from 2015 through 2016 for patients attributed to a single risk-shared commercial insurance contract at a large academic medical center (AMC) were analyzed. Primary outcome was MRI leakage: an outpatient MRI study performed at a site not affiliated with the AMC's integrated health care system. Ordering provider alignment with the AMC's risk-shared insurance contract was categorized as strong, weak, or none. Multivariate regression analyses were conducted to evaluate the relationship between provider alignment and MRI leakage, while adjusting for selected covariates. RESULTS: Among 8,215 patients meeting inclusion criteria, there were 13,272 MRI encounters. The overall proportion of leaked MRI studies was 12.7%. MRI studies ordered by providers with weak AMC alignment (odds ratio, 3.16; 95% confidence interval, 2.49-4.02) or no AMC alignment (odds ratio, 3.68; 95% confidence interval, 3.12-4.33) were more likely to leak than MRI studies ordered by providers with strong AMC alignment. CONCLUSIONS: An ordering provider with no alignment with an AMC's commercial risk-shared insurance contract was the strongest predictor of MRI leakage. Population health management initiatives aimed at reducing leakage should consider the impact of provider networks and clinical referral patterns that drive imaging utilization.

Impact of a Multidisciplinary Treatment Pathway for Atrial Fibrillation in the Emergency Department on Hospital Admissions and Length of Stay: Results of a Multi-Center Study.

Background Variability in the management of atrial fibrillation (AF) in the emergency department (ED) leads to avoidable hospital admissions and prolonged length of stay (LOS). In a retrospective single-center study, a multidisciplinary AF treatment pathway was associated with a reduced hospital admission rate and reduced LOS. To assess the applicability of the AF pathway across institutions, we conducted a 2-center study. Methods and Results We performed a prospective, 2-stage study at 2 tertiary care hospitals. During the first stage, AF patients in the ED received routine care. During the second stage, AF patients received care according to the AF pathway. The primary study outcome was hospital admission rate. Secondary outcomes included ED LOS and inpatient LOS. We enrolled 104 consecutive patients in each stage. Patients treated using the AF pathway were admitted to the hospital less frequently than patients who received routine care (15% versus 55%; P<0.001). For admitted patients, average hospital LOS was shorter in the AF pathway cohort than in the routine care cohort (64 versus 105 hours, respectively; P=0.01). There was no significant difference in the average ED LOS between AF pathway and routine care cohorts (14 versus 12 hours, respectively; P=0.32). Conclusions In this prospective 2-stage, 2-center study, utilization of a multidisciplinary AF treatment pathway resulted in a 3.7-fold reduction in admission rate and a 1.6-fold reduction in average hospital LOS for admitted patients. Utilization of the AF pathway was not associated with a significant change in ED LOS.

Causes and predictors of early readmission after percutaneous coronary intervention among patients discharged on oral anticoagulant therapy.

Patients discharged on oral anticoagulant (OAC) therapy after percutaneous coronary intervention (PCI) represent a complex population and are at higher risk of early readmission. The reasons and predictors of early readmission in this group have not been well characterized. We identified patients in an integrated health care system who underwent PCI between 2009 and 2014 and were readmitted within 30 days within this health care system. Of the 9,357 patients surviving to discharge after the index PCI, 692 were readmitted within 30 days (7.4%). At the time of readmission, 143 had been discharged from the index PCI hospitalization on OACs (96.5% on warfarin) and 549 had not been discharged on OACs, with readmission rates of 12.9% and 6.7%, respectively (p<0.01). The most common reason for readmission among all patients was chest pain syndromes (21.7% on OACs, 34.4% not on OACs). However, bleeding represented the next most frequent cause of readmission among patients on OACs (14.0% on OACs vs 6.0% not on OACs, p<0.01). Among patients on OAC therapy, peripheral arterial disease (odds ratio [OR] 1.66, 95% confidence interval [CI] 1.07-2.57, p = 0.02) and nonelective PCI (OR 1.91, 95% CI 1.17-3.12, p<0.01) were found to be independent predictors of 30-day readmission. During rehospitalization, compared to patients not on OACs, patients on OACs suffered a higher unadjusted rate of mortality (6.3% vs 1.8%, p<0.01) and a longer length of stay (6.4 ± 7.1 days vs 4.9 ± 6.8 days, p = 0.02). In conclusion, patients discharged on OAC therapy after PCI are commonly readmitted, with bleeding representing a major reason. These readmissions are associated with high mortality and longer lengths of stay. Interventions targeted towards optimizing discharge planning for these complex patients are needed to potentially reduce readmissions.

Predicting Length of Stay and the Need for Postacute Care After Acute Myocardial Infarction to Improve Healthcare Efficiency.

Background To improve value in the care of patients with acute myocardial infarction (MI), payment models increasingly hold providers accountable for costs. As such, providers need tools to predict length of stay (LOS) during hospitalization and the likelihood of needing postacute care facilities after discharge for acute MI patients. We developed models to estimate risk for prolonged LOS and postacute care for acute MI patients at time of hospital admission to facilitate coordinated care planning. Methods and Results We identified patients in the National Cardiovascular Data Registry ACTION registry (Acute Coronary Treatment and Intervention Outcomes Network) who were discharged alive after hospitalization for acute MI between July 1, 2008 and March 31, 2017. Within a 70% random sample (Training cohort) we developed hierarchical, proportional odds models to predict LOS and hierarchical logistic regression models to predict discharge to postacute care. Models were validated in the remaining 30%. Of 633 737 patients in the Training cohort, 16.8% had a prolonged LOS (≥7 days) and 7.8% were discharged to a postacute facility (extended care, a transitional care unit, or rehabilitation). Model discrimination was moderate in the validation dataset for predicting LOS (C statistic=0.640) and strong for predicting discharge to postacute care (C statistic=0.827). For both models, discrimination was similar in ST-segment-elevation MI and non-ST-segment-elevation MI subgroups and calibration was excellent. Conclusions These models developed in a national registry can be used at the time of initial hospitalization to predict LOS and discharge to postacute facilities. Prospective testing of these models is needed to establish how they can improve care coordination and lower costs.

Non-cardiac Chest Pain: A Review for the Consultation-Liaison Psychiatrist.

BACKGROUND: Patients presenting with chest pain to general practice or emergency providers represent a unique challenge, as the differential is broad and varies widely in acuity. Importantly, most cases of chest pain in both acute and general practice settings are ultimately found to be non-cardiac in origin, and a substantial proportion of patients experiencing non-cardiac chest pain (NCCP) suffer significant disability. In light of emerging evidence that mental health providers can serve a key role in the care of patients with NCCP, knowledge of the differential diagnosis, psychiatric co-morbidities, and therapeutic techniques for NCCP would be of great use to both consultation-liaison (C-L) psychiatrists and other mental health providers. METHODS: We reviewed prior published work on (1) the appropriate medical workup of the acute presentation of chest pain, (2) the relevant medical and psychiatric differential diagnosis for chest pain determined to be non-cardiac in origin, (3) the management of related conditions in psychosomatic medicine, and (4) management strategies for patients with NCCP. RESULTS: We identified key differential diagnostic and therapeutic considerations for psychosomatic medicine providers in 3 different clinical contexts: acute care in the emergency department, inpatient C-L psychiatry, and outpatient C-L psychiatry. We also identified several gaps in the literature surrounding the short-term and long-term management of NCCP in patients with psychiatric etiologies or co-morbid psychiatric conditions. CONCLUSIONS: Though some approaches to the care of patients with NCCP have been developed, more work is needed to determine the most effective management techniques for this unique and high-morbidity population.

Use of Chronic Oral Anticoagulation and Associated Outcomes Among Patients Undergoing Percutaneous Coronary Intervention.

BACKGROUND: Contemporary rates of oral anticoagulant (OAC) therapy and associated outcomes among patients undergoing percutaneous coronary intervention (PCI) have been poorly described. METHODS AND RESULTS: Using data from an integrated health care system from 2009 to 2014, we identified patients on OACs within 30 days of PCI. Outcomes included in-hospital bleeding and mortality. Of 9566 PCIs, 837 patients (8.8%) were on OACs, and of these, 7.9% used non-vitamin K antagonist agents. OAC use remained stable during the study (8.1% in 2009, 9.0% in 2014; P=0.11), whereas use of non-vitamin K antagonist agents in those on OACs increased (0% in 2009, 16% in 2014; P<0.01). Following PCI, OAC-treated patients had higher crude rates of major bleeding (11% versus 6.5%; P<0.01), access-site bleeding (2.3% versus 1.3%; P=0.017), and non-access-site bleeding (8.2% versus 5.2%; P<0.01) but similar crude rates of in-hospital stent thrombosis (0.4% versus 0.3%; P=0.85), myocardial infarction (2.5% versus 3.0%; P=0.40), and stroke (0.48% versus 0.52%; P=0.88). In addition, prior to adjustment, OAC-treated patients had longer hospitalizations (3.9±5.5 versus 2.8±4.6 days; P<0.01), more transfusions (7.2% versus 4.2%; P<0.01), and higher 90-day readmission rates (22.1% versus 13.1%; P<0.01). In adjusted models, OAC use was associated with increased risks of in-hospital bleeding (odds ratio 1.50; P<0.01), 90-day readmission (odds ratio 1.40; P<0.01), and long-term mortality (hazard ratio 1.36; P<0.01). CONCLUSIONS: Chronic OAC therapy is frequent among contemporary patients undergoing PCI. After adjustment for potential confounders, OAC-treated patients experienced greater in-hospital bleeding, more readmissions, and decreased long-term survival following PCI. Efforts are needed to reduce the occurrence of adverse events in this population.

Clinical Interventions to Reduce Preventable Hospital Readmission After Percutaneous Coronary Intervention.

Hospital readmissions are common and costly and, in some cases, may be related to problems with care processes. We sought to reduce readmissions after percutaneous coronary intervention (PCI) in a large tertiary care facility through programs to target vulnerabilities predischarge, after discharge, and during re-presentation to the emergency department. During initial hospitalization, we assessed patients' readmission risk with a validated risk score and used a discharge checklist to ensure access to appropriate medications and close follow-up for high-risk patients. We also developed patient education videos about chest discomfort and heart failure. After discharge, we established a new follow-up clinic with cardiology fellows. A computerized system was developed to automatically notify cardiologists when patients presented to the emergency department within 30 days of PCI to enhance patient access to cardiology care in the emergency department. Early cardiologist assessment and assistance with triage was encouraged, and the emergency department used a risk stratification algorithm derived from a local database of patients to triage patients presenting with chest discomfort after PCI. We tracked the number of patients readmitted after PCI to our hospital. With our interventions, from 2011 to 2015, the index hospital readmission rate has declined from 9.6% to 5.3%. This program could provide tangible structural changes that can be implemented in other healthcare centers, both reducing the cost of care and improving the quality of care for patients with PCI.