14 Clinical Trials for Various Conditions
The purpose of this study is to evaluate the use of spirometry in identifying Diagnostic Error in COPD and Asthma patients.
The proposal will focus on 3 specific, high-risk, pediatric ambulatory diagnostic errors each representing a unique dimension of diagnostic assessment: evaluation of symptoms, evaluation of signs and follow-up of diagnostic tests. Adolescent depression (i.e. symptoms) affects nearly 10% of teenagers, is misdiagnosed in almost 75% of adolescents and causes significant morbidity. Pediatric elevated blood pressure (signs) is misdiagnosed in 74-87% of patients, often due to inaccurate application of blood pressure parameters that change based on age, gender and height. Actionable pediatric laboratory values (diagnostic tests) are potentially delayed up to 26% of the time in preliminary investigations and 7-65% in adults, leading to harm and malpractice claims. The investigators propose to conduct a multisite, prospective, stepped wedge cluster randomized trial testing a quality improvement collaborative (QIC) intervention within the American Academy of Pediatrics' Quality Improvement Innovation Networks (QuIIN) to reduce the incidence of pediatric primary care diagnostic errors. QuIIN is a national network of over 300 primary care practices, ranging from tertiary care academic medical centers to single practitioner private practices, interested in and experienced with QICs. Because many processes are likely to be common across diagnostic errors in outpatient settings, a multifaceted intervention, such as a QIC, has a high likelihood of success and broad applicability across populations. Preparatory inquiries to QuIIN primary care providers suggest high interest in reducing these 3 diagnostic errors and provider agreement with randomization to evaluate diagnostic error interventions. Practices will be randomized to one of three groups, with each group collecting retrospective baseline data on one error above, and then intervening to reduce that error during the first eight months. Each group will concurrently collect control data on an error they are not intervening on during those eight months. Following those eight months, the groups will continue intervening on their first error, begin intervening on the error they were a control site for, and begin collecting data on the third error for which they will be a control site for. Finally, in the final eight months, all groups will intervene on all three errors. A second wave of practices will be recruited to join the groups after eight months and will only intervene on two of the three errors.
This study seeks to link a group of hospitals to measure and share the rates of diagnostic errors, to understand underlying causes of diagnostic errors, and develop ways that hospitals, clinicians, and patients can work together to avoid diagnostic errors and harms due to those errors. The investigators will test how data sharing and collaboration improve diagnostic processes and develop approaches which can be sustained into the future. The approach represents a novel application of rigorous outcome adjudication to the problem of inpatient diagnostic errors using a learning health system model.
This project will introduce and evaluate an intervention designed to improve diagnostic decision making. The intervention will attempt to increase clinician mindfulness and reduce environmental distractions to promote focused thinking. A meta-cognitive intervention using a structured checklist will be evaluated to identify improvement in diagnostic and therapeutic decision-making and examine the role of mindfulness and architectural design in enhancing patient safety.
Clinical documentation which omits significant medical details negatively affects communication among physicians and impedes the diagnostic process. Clinical documentation may be improved by using compensation incentives. Therefore, compensation incentives are a compelling mechanism to promote documentation of significant medical details to improve the diagnostic process. The investigators' proposed project will use physician compensation incentives to improve documentation of clinically significant details for six common diagnoses in outpatient general internal medicine. The investigators will choose clinically significant details which more accurately represent patient complexity, improve the diagnostic process, and have potential to improve patient outcomes. To determine whether compensation incentives improve documentation of clinically significant details, the investigators will compare physicians' baseline documentation to incentivized documentation. The purpose of the investigators' project is to improve communication of clinically significant diagnostic information among physicians, thereby reducing suboptimal treatment plans, overuse, medical error, and cognitive burden upon physicians.
Preventing contextual errors requires heightening clinician responsiveness to clues that there are contextual factors during the clinical encounter, in real time. These clues, termed contextual red flags are evident in two sources: the medical record and from patients directly. An effective intervention would prompt clinicians to determine whether there are underlying contextual factors that could be addressed in the care plan, averting contextual error. This desirable process is termed contextual probing. While clinical decision support (CDS) has been used to provide physicians with timely biomedical information at the point of care to prevent errors and promote appropriate care, this technology also affords an opportunity to draw physician attention to both contextual red flags and contextual factors in order to avert contextual errors. This study assesses the potential of "contextualized CDS" to improve contextualization of care through a randomized controlled intervention trial, with assessment measures of both patient health care outcomes and averted costs associated with overuse and misuse of medical services. The three hypotheses are that CDS: 1. Reduces contextual error: CDS tools that inform clinicians of contextual factors and prompt them to explore contextual red flags should result in a reduction in contextual error. 2. Improve health care outcomes: Contextualized CDS predicts improved health care outcomes defined as a partial or full resolution of the contextual red flag (e.g. elevated HgB A1c) after the index visit. 3. Reduces avoidable health care costs: Contextualized CDS is associated with a reduction in misuse and overuse of inappropriate or unnecessary medical services.
As a result of ableism, people with disabilities (PWD) experience diagnostic overshadowing-attributing symptoms to disability rather than a potentially new or co-morbid condition. the goal of this researh is to identify and create understanding of what underlies and contributes to diagnostic overshadowing. The investigators plan to develop ways to reduce it, specifically ways to identify people with disabilities at risk of diagnostic overshadowing/diagnostic error. The investigators will also develop education programs and decision supports targeted to healthcare professionals. If it is effective, ways to reduce diagnostic overshadowing/diagnostic error will have been developed among people with disabilities.
The overall purpose of the study is to determine how providing physicians with a quantitative measure of skin surface temperature influences diagnoses and diagnostic confidence in potential cellulitis cases when added to the standard evaluation.
To improve the safety of diagnosis and therapy for a set of conditions and undifferentiated symptoms for hospitalized patients, the investigators will employ a set of methods and tools from the disciplines of systems engineering, human factors, quality improvement,and data analytics to thoroughly analyze the problem, design and develop potential solutions that leverage existing current technological infrastructure, and implement and evaluate the final interventions. The investigators will engage the interdisciplinary care team and patient (or their caregivers) to ensure treatment trajectories match the anticipated course for working diagnoses (or symptoms), and whether they are in line with patient and clinician expectations. The investigators will use an Interrupted time series (ITS) design to assess impact on diagnostic errors that lead to patient harm. The investigators will perform quantitative and qualitative evaluations using implementation science principles to understand if the interventions worked, and why or why not.
Improving communication is foundational to improving patient safety. Electronic health records (EHRs) can improve communication, but also introduce unique vulnerabilities. Failure to follow-up abnormal test results (missed results) is a key preventable factor in diagnosis and treatment delays in the Veteran's Health Administration (VHA) and often involves EHR-based communication breakdowns. Effective methods are needed to detect diagnostic delays and intervene appropriately. Manual techniques to detect care delays, such as spontaneous reporting and random chart reviews, have limited effectiveness, due in part to bias and lack of provider awareness of delays. They are also inefficient and cost-prohibitive when applied to large numbers of patients. Diagnostic errors are considered harder to tackle, in part because they are difficult to measure. Rigorous measurement of diagnostic safety is essential and should be prioritized given the increasing amount of electronically available data. To create an effective measurement and learning program researchers must (1) ensure teams know how to take actionable steps on data and have assistance in doing so and (2) prioritize diagnostic safety at the organizational level by securing commitment from local VA leadership and clinical operations personnel. This will ensure that safety measurement will translate into action. The proposed study focuses on creating a novel program to develop and evaluate multifaceted socio-technical tools and strategies to help prevent, detect, mitigate, and ameliorate breakdowns in EHR-based communication that often lead to "missed" test results in the VHA.
Diagnostic delays in ambulatory care are often due to breakdowns of related care processes. Electronic systems can improve follow-up and reduce delays by detecting missed appointments or incomplete procedures so that patients are called back to conduct timely investigations when appropriate. To achieve high standards of patient safety in cancer diagnosis, the investigators not only need to use information technology appropriately but also improve the processes, policies, and procedures of monitoring, communication, and coordination of care. Given the importance of cancer-related diagnostic delays in ambulatory care, the investigators need effective methods to detect them, understand their causes, and intervene to reduce them. Manual techniques to detect these delays, such as spontaneous reporting and random chart reviews, have limited effectiveness. Our proposed study focuses on testing methods to proactively identify delays using certain "triggers" as they occur and intervene in a timely manner.
During the project, fourth-year medical students participating in a Medicine sub-internship will be randomized to an intervention group or a control group; the intervention group will receive additional training in the application of qualitative methodology to elicit and incorporate contextual factors in the clinical encounter. All students will participate in an SP assessment consisting of four standardized patients (SPs), blinded to trial arm, presenting cases with and without important biomedical and contextual factors in a counterbalanced factorial design. Performance will be compared between trial arms; the investigators hypothesize better performance in the intervention arm. In addition, performance will be compared with United States Medical Licensing Exam (USMLE) Step 2 clinical knowledge scores to determine whether contextualizing ability is independent of clinical knowledge, and consistency of performance across individual SP cases will be studied to determine the number of cases necessary to achieve sufficient reliability for the assessment to be used.
This study is exploratory and examines whether the best-corrected visual acuities (BCVA's) from trial frames created with the refraction results obtained from a novel handheld optical device yields results similar to the ophthalmic refraction obtained from an autorefractor in healthy volunteers age stratum of 18 through 65 years.
OBJECTIVES: I. Determine the phenotypic heterogeneity of patients with genetic disorders including their clinical spectrum and natural history. II. Develop and evaluate novel methods for the treatment of genetic disorders including metabolic manipulation, enzyme manipulation, enzyme replacement, enzyme transplantation, and gene transfer techniques in these patients. III. Develop and evaluate methods for the prenatal diagnosis of genetic disorders using improved cytogenetic, biochemical, and nucleic acid techniques and amniotic fluid cells or chorionic villi in these patients.