Project TOPS: Team-Based Oversight of Patient Satisfaction Through Real-Time Interdisciplinary Feedback.

BACKGROUND: Despite the financial incentives to improve patient experience, measured through the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, few interventions have led to sustained improvement. METHODS: A real-time survey (RTS) designed to capture multiple domains was conducted on medical inpatients in a tertiary care center from July 2017 to June 2018. Answers were reviewed by a multidisciplinary team, and interventions to improve experience were completed. RESULTS: A total of 235 RTSs resulted in 94 (40.0%) interventions. HCAHPS were compared 12 months pre-and postintervention, with an increase in the percentage of "always" for the responsiveness domain, 38.9% vs. 59.7%, p = 0.005. Several other domains showed an increase that did not reach statistical significance. CONCLUSION: Conducting RTSs may allow for a better understanding of patient experience and active service recovery.

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study.

BACKGROUND: Heart failure (HF) is a condition that affects approximately 6.2 million people in the United States and has a 5-year mortality rate of approximately 42%. With the prevalence expected to exceed 8 million cases by 2030, projections estimate that total annual HF costs will increase to nearly US $70 billion. Recently, the advent of remote monitoring technology has significantly broadened the scope of the physician's reach in chronic disease management. OBJECTIVE: The goal of our program, named the Heart Health Program, was to examine the feasibility of using digital health monitoring in real-world home settings, ascertain patient adoption, and evaluate impact on 30-day readmission rate. METHODS: A digital medicine software platform developed at Mount Sinai Health System, called RxUniverse, was used to prescribe a digital care pathway including the HealthPROMISE digital therapeutic and iHealth mobile apps to patients' personal smartphones. Vital sign data, including blood pressure (BP) and weight, were collected through an ambulatory remote monitoring system that comprised a mobile app and complementary consumer-grade Bluetooth-connected smart devices (BP cuff and digital scale) that send data to the provider care teams. Care teams were alerted via a Web-based dashboard of abnormal patient BP and weight change readings, and further action was taken at the clinicians' discretion. We used statistical analyses to determine risk factors associated with 30-day all-cause readmission. RESULTS: Overall, the Heart Health Program included 58 patients admitted to the Mount Sinai Hospital for HF. The 30-day hospital readmission rate was 10% (6/58), compared with the national readmission rates of approximately 25% and the Mount Sinai Hospital's average of approximately 23%. Single marital status (P=.06) and history of percutaneous coronary intervention (P=.08) were associated with readmission. Readmitted patients were also less likely to have been previously prescribed angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers (P=.02). Notably, readmitted patients utilized the BP and weight monitors less than nonreadmitted patients, and patients aged younger than 70 years used the monitors more frequently on average than those aged over 70 years, though these trends did not reach statistical significance. The percentage of the 58 patients using the monitors at least once dropped from 83% (42/58) in the first week after discharge to 46% (23/58) in the fourth week. CONCLUSIONS: Given the increasing burden of HF, there is a need for an effective and sustainable remote monitoring system for HF patients following hospital discharge. We identified clinical and social factors as well as remote monitoring usage trends that identify targetable patient populations that could benefit most from integration of daily remote monitoring. In addition, we demonstrated that interventions driven by real-time vital sign data may greatly aid in reducing hospital readmissions and costs while improving patient outcomes.

Gut microbiota density influences host physiology and is shaped by host and microbial factors.

To identify factors that regulate gut microbiota density and the impact of varied microbiota density on health, we assayed this fundamental ecosystem property in fecal samples across mammals, human disease, and therapeutic interventions. Physiologic features of the host (carrying capacity) and the fitness of the gut microbiota shape microbiota density. Therapeutic manipulation of microbiota density in mice altered host metabolic and immune homeostasis. In humans, gut microbiota density was reduced in Crohn's disease, ulcerative colitis, and ileal pouch-anal anastomosis. The gut microbiota in recurrent Clostridium difficile infection had lower density and reduced fitness that were restored by fecal microbiota transplantation. Understanding the interplay between microbiota and disease in terms of microbiota density, host carrying capacity, and microbiota fitness provide new insights into microbiome structure and microbiome targeted therapeutics. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).

Usability and Learnability of RxUniverse, an Enterprise-Wide App Prescribing Platform Used in an Academic Tertiary Care Hospital.

The objective of this study was to assess the usability of RxUniverse, a novel platform that enables health care providers to directly disseminate proven, evidence-based mobile health apps to patients. Among five pilot clinical sites, 40 physicians and front-line providers were trained on the RxUniverse platform. They were educated on the platform's functionality and instructed how to prescribe apps to their patients. The well-validated System Usability Score (SUS) was used to assess the usability of the platform. The adoption goal was set as 100 prescriptions of relevant apps within an 8-week pilot period. Within the pilot period, over 2000 apps were prescribed. Nineteen responses were received from the System Usability Score survey, and the platform received a usability score of 84.2, which is in the 96th percentile across all systems. The pilot study outcomes demonstrate the high adoption and usability of the RxUniverse platform.