12 Clinical Trials for Various Conditions
Hospital readmissions are common, costly, and potentially preventable. They are also potentially responsive to health system interventions. However, it is uncertain which components of care transition interventions are efficacious, for which populations, and at what cost. This randomized controlled study is part of a larger project that will evaluate a three-tiered quality improvement (QI) intervention intended to reduce hospital readmissions within 30 days post-discharge from an urban safety net hospital that serves a racially and linguistically diverse population (the randomized controlled study evaluates Tier 3). Few studies have evaluated care transition interventions to reduce readmissions among low-income, diverse patient populations, and the accumulated evidence on the effects of these multi-faceted interventions on readmission rates has been inconclusive. This project will take advantage of a unique sequence of three QI innovations to reduce hospital readmissions implemented beginning in 2007 in an integrated safety net health care system. The "discharge-transfer" tiers are as follows: 1) Tier 1 includes a comprehensive, individualized home care plan (HCP) reviewed by the medical service floor nurse with the patient prior to discharge; 2) Tier 2 adds the electronic transmission of the HCP to the patient's primary care medical home where, on the business day following discharge, a Registered Nurse makes an outreach telephone call to the discharged patient to confirm comprehension of the HCP and to address medical questions or needs; 3) Tier 3 further adds a community health worker, the Patient Navigator, to participate in bedside discussions to develop rapport and learn about patients' home situations, weekly outreach calls to assess patients' needs and to facilitate communication between the patient and the primary care team, and reminder calls to patients prior to all medical appointments to eliminate barriers to outpatient follow-up. The Aim of the study being registered is to evaluate the effects of an ongoing randomized natural experiment on readmissions, health care use, adherence to medication instructions, and preparedness for discharge. This natural experiment features random assignment to one of two QI interventions, Tier 2 or Tier 3, and exclusively targets patients at high risk for readmission, those with one or more of the following risk factors for readmission: discharge diagnosis of congestive heart failure or COPD; length of stay \> 3 days; age \> 60; or previous hospitalization within the past six months. The investigators hypothesize that the Patient Navigator intervention (Tier 3) compared to usual care (Tier 2) will increase the rates of 30-day post-discharge PCP visits; reduce 30-day hospital readmission rates; and reduce the total number of days in hospital in the 180 days following the index admission for high risk patients. The investigators further expect that the PN intervention will improve patient adherence to medication instructions in the HCP and reduce the probability of reported problems with post-discharge care.
This study will evaluate a 30-day post-discharge intervention using an automated SMS platform to monitor patients and facilitate communication with their primary care practice. The population will be patients who receive care from participating practices and are discharged from an inpatient stay. In addition to the usual phone call from their practice, patients will be randomized to enrollment in the program, wherein they will receive automated SMS messages on a tapering schedule over 30 days.
The purpose of this 90 day study is to demonstrate the extent to which participants with cardiovascular conditions can improve their recovery at home through a mobile app, support and resources made available to them after hospitalization. The study will evaluate the effectiveness of personal care intervention support, including one-on-one guidance, educational information, check-ins, and Laguna's mobile app to help participants recover better after hospitalization.
NYU Langone Health patients receive a call from a clinical care coordinator after they are discharged from the hospital (within 1-3 days). The current study is testing the efficacy of this program.
Specific Aims: (Study #1, funded by AHRQ, completed May 2011) 1. To create an automatic notification system to prompt physicians of test results finalized after discharge. 2. To evaluate the impact of this system on physician awareness of test results finalized after discharge. Hypothesis: Automatic email notification will improve physician awareness of test results finalized after discharge compared to usual care. Specific Aims: (Study #2, funded by CRICO, completed July 2012) 1. To identify a cohort of discharged patients with potentially actionable results of tests pending at discharge (TPAD). 2. To determine if automated email notification of the finalized results of potentially actionable TPADs affects the rate of post-discharge actions taken as documented in the electronic medical record (EMR). Hypothesis: Automated email notification of the finalized results of potentially actionable TPADs increases the rate of actions taken post-discharge.
The incidence of drug-induced injury is high in the ambulatory geriatric population, especially for elders with complex healthcare needs during high risk transitions to the ambulatory setting. In a previous study funded by the National Institute on Aging and the Agency for Healthcare Research and Quality \[AHRQ\] (AG 15979), the investigators determined that drug-related injuries occur at a rate of more than 50 per 1000-patient years in older adults in the ambulatory setting and that 28% are preventable. Independent risk factors for adverse drug events among older adults in the ambulatory setting included advanced age, multiple comorbid conditions, and the use of medications requiring close monitoring. In this project, Using HIT to Improve Transitions of Complex Elderly Patients from SNF to Home (1 R18 HS017817), the investigators are testing the use of an electronic medical record (EMR)-based transitional care intervention for complex elderly patients transitioning from subacute care in a skilled nursing facility (SNF) to the ambulatory setting. The growing trend for physicians and other healthcare providers to restrict their practices to single settings and not follow complex patients as they move between settings leaves older patients discharged from subacute care particularly vulnerable. This transition is uniquely challenging because of the complex healthcare needs of this population, who often require outpatient primary care physicians to coordinate with visiting nurses in order to manage complex medication regimens and fluctuating clinical status. To facilitate high-quality transitions from the subacute to the ambulatory setting and support interdisciplinary communication, the investigators will use the EMR to assure that physicians in the ambulatory setting receive key health information and alerts.
This is a prospective clinical trial evaluating whether a behaviorally informed intervention (pre-discharge iPad video scheduling) increases post-discharge primary care physician (PCP) appointment completion compared to the status-quo scheduling process (post-discharge via phone), with the ultimate goal of improving patient health outcomes.
The overall aim of this program of research is to improve the continuity of care for patients with serious mental illness (SMI) by supporting a safer and more efficient bridge from hospital to outpatient care using a mobile device-delivered app called Transition-FOCUS (tFOCUS), which has previously been tested in community samples. The purpose of the proposed project is to establish the effectiveness of our empirically-supported, multi-component mHealth intervention.
The goal of this study is to expand the use of previously developed patient safety dashboards and patient-centered discharge checklists to three general medicine units in an affiliated community hospital. The safety dashboard and interactive pre-discharge checklist are cognitive aids for clinicians and patients, respectively, that serve to facilitate early detection of patients at risk for preventable harm, including suboptimal discharge preparation. The aims of this study are to: 1. Enhance the safety dashboard and interactive pre-discharge checklist to include "smart" notifications for hospital-based clinicians when patients are at high risk for adverse events or have identified specific concerns related to discharge based on their checklist responses. 2. Expand intervention to general medical units at our community hospital-affiliate, BWFH. 3. Evaluate impact on post-discharge AEs for patients discharged from BWFH who are at risk for preventable harm and hospital readmission.
The purpose of this study is to test a new process for having a virtual visit with a primary care doctor after discharge from the hospital, instead of an in-person visit.
Background: Patients hospitalized with complex chronic conditions frequently experience preventable short-term readmissions due to inadequate transition support. Although structured discharge planning with telephone follow-up improves transition outcomes, these services often are unavailable, and proactive outreach is often inadequate once the patient returns home. Informal caregivers are invaluable for ensuring successful transitions, but many patients live alone, have an in-home caregiver who is struggling with competing demands, or live at a distance from adult children or other potential sources of support. New models are needed for transition support that include low-cost technologies and more structured assistance for patients' informal caregiving network, while providing patients' clinical teams with the information they need to avert health crises. Objectives: Consistent with Agency for Healthcare Research and Quality goals to improve transitions using accessible health IT, we will evaluate a novel intervention designed to improve the effectiveness of transition support for common chronic conditions via three mechanisms of action: (a) direct tailored communication to patients via automated calls post discharge, (b) support for informal caregivers via structured feedback about the patient's status and advice about how they can help, and (c) support for proactive care management including a web-based disease management tool, automated alerts about potential problems, and the capacity for asynchronous communication with patients and their caregivers. Specifically, the trial will determine: 1) whether the CarePartner intervention improves patients' readmission risk and functional status; 2) the impact of the intervention on patients' self-care behaviors and the quality of the transition process; and 3) whether the intervention improves caregiver burden and stress levels.
Background: Older hospitalized adults frequently experience preventable short-term readmissions due to inadequate transition support. Although proactive telephone follow-up improves transition outcomes, these services often are unsystematic and of low intensity. Informal caregivers are invaluable for ensuring successful transitions, but many patients live alone, have an in-home caregiver who is struggling with competing demands, or live at a distance from adult children or other potential sources of support. New models are needed for transition support that include low-cost technologies and more structured assistance for patients' informal caregiving network, while providing patients' clinical teams with the information they need to avert health crises. Objectives: Consistent with NIA's goals to improve transition outcomes, we will evaluate a novel intervention designed to improve the effectiveness of transition support for older adults with common chronic conditions via three mechanisms of action: (a) direct tailored communication to patients via regular automated calls post discharge, (b) support for informal caregivers living outside of the patient's household via structured feedback about the patient's status and advice about how they can help, and (c) support for proactive care management including a web-based disease management tool, automated alerts about potential problems, and the capacity for asynchronous communication with patients and their caregivers. Specifically, the trial will determine: 1) whether the CarePartner intervention improves patients' readmission risk and functional status; 2) the impact of the intervention on patients' self-care behaviors and the quality of the transition process; and 3) whether the intervention improves caregiver burden and stress levels.