View clinical trials related to Patient Safety.
Filter by:Avoidable care associated incidents are relatively frequent in primary care. In France for example, avoidable incidents rate is estimated to 22/1000 medical acts from general practitioners. Patient safety is now a growing issue in primary care. One tool to increase patient safety is incident reporting and analysis. It could reduce some important consequences for patients and could allow implementing substantial corrective actions. The aim of the PRisM study is to assess and compare the efficiency of a multifaceted risk management program implemented in the french pluridisciplinary offices in primary care in association with a centralized incident reporting system, versus a centralized incident reporting system only.
The purpose of this study is to compare the effectiveness of two methods, safety curriculum in addition to online training alone, for teaching patient safety to surgery residents. Despite multiple studies evaluating educational safety curricula, the best methods for teaching residents about patient safety is unknown. It is hypothesized that empowering surgery residents to actively engage in behaviors to increase patient safety may lead to a higher quality perioperative care and communication.
The HATRICC study will use mixed methods to implement a standardized process for operating room to intensive care unit handoffs that is accepted and sustainably used by perioperative clinicians.
Resident duty hour requirements in the U.S. are still evolving as stakeholders continue to debate how best to (re)structure postgraduate medical education. There is concern that current restrictions may be detrimental to patient care and resident training. To investigate these issues, the investigators will be conducting a one-year, prospective randomized trial to examine how flexibility of duty hour requirements affects patient care when compared to current resident duty hour requirements. Further information about the study is available on the FIRST Trial website http://www.thefirsttrial.org/.
In cooperation with INABBRA (Innovation Alliance Berlin-Brandenburg, Germany) the investigators would like to ask medical colleagues in the region to participate in an anonymous German online survey on patient safety. The investigators want to investigate the implementation and establishment of measures on patient safety, that anaesthesiologists utilize to fulfill their obligations.
The investigators propose to test the hypothesis that implementation of a comprehensive handoff program (CHP) - i.e., implementation of a computerized handoff tool along with teamwork training for pediatric residents on inpatient units at Children's Hospital Boston - will lead to reductions in resident miscommunications / medical errors and improvements in workflow and experience on the wards.
The magnitude and intensity of medication use among our nation's 1.6 million nursing home residents matches or exceeds that of hospitalized patients. The residents of nursing homes are among the most frail patients in the population; the challenges of using medications in this setting are great, not only because of the physiologic declines and pharmacologic changes that occur with aging, but also because of the special clinical and social circumstances that often characterize nursing home care. In our previous research, we have determined that medication errors resulting in adverse drug events occur most often at the ordering and monitoring stages of pharmaceutical care. Clinical decision-support systems are clinical consultation systems that combine individual patient information with population statistics and scientific evidence to offer real-time information to health care providers. These systems have been found to improve the quality of medication prescribing in the hospital setting. In this study, we intend to determine the extent to which a computer-based clinical decision-support system (accompanying computerized provider order-entry) can improve the quality of medication ordering and monitoring for residents in the long-term care setting through a randomized trial. We will track the costs associated with this system and the system's impact on the productivity of providers. We will also assess the culture of U.S. nursing homes and the organization of the nursing home setting with respect to readiness to incorporate computerized provider order-entry with computer-based clinical decision support. Our project addresses specific areas that are of particular interest to AHRQ with special relevance to the delivery of high-quality care to a priority population--the frail elderly patient population residing in nursing homes. The project will assess the economic implications of health information technology in the nursing home environment that will be of interest to key stakeholders, including physicians, pharmacists, nurses, payers, policymakers, the nursing home industry, and pharmaceutical vendors to long-term care institutions.
Device: computerized physician order entry. We wanted to investigate if the introduction of a computerized intensive care unit system reduced the incidence and severity of medication prescription errors (MPEs). A prospective trial was conducted during 5 weeks in a paper-based unit versus a computerized unit. The registration of different classes of MPEs was done by a clinical pharmacist. An independent panel evaluated the severity of MPEs.
1. INTRODUCTION: Continuity of care (COC) occurs when separate elements of patient care are connected. COC is made up primarily of Continuity of Provider (COP) and Continuity of Information (COI). Many authorities believe that COC is essential to high-quality care. Previous studies have shown poor COC in varied populations. Many studies have shown that increased COC has been associated with improved intermediate outcomes. However, no study has definitively determined whether COC or either of its components is associated with important outcomes. The Ontario-Outcomes After the Hospitalization (Ontario-OAtH) study will enroll 5900 adults who are discharged to the community from medical and surgical services from 13 teaching and community hospitals in 5 regions across Ontario. Patients will be followed for 6 months to record details about all interactions with the health care system. This information will give us a detailed measure of both provider and information continuity for all patients over time. The Ontario-OAtH study will have the power to precisely determine whether COC is associated with time to urgent readmission or death after hospital discharge. Since COC is potentially modifiable, the Ontario-OAtH study will give us essential information required for designing interventions to improve outcomes for patients after they are discharged from hospital.
This study includes four projects aimed to improve the quality and safety of pediatric care through the implementation of four clinical decision support services in the electronic health record (EHR). The four projects will measure the effect of each clinical decision support feature including: weight-based dosing; smart forms for chronic conditions; guideline reminders; and a results manager to track abnormal lab result follow-up. Hypothesis: Implementation of the clinical decision support features will decrease medication errors and adverse drug events, assist physicians in adhering to clinical practice guidelines and protocols for certain chronic illnesses, improve physician follow-up for abnormal lab results, and overall improve the safety and quality of pediatric clinical practice.