39 Clinical Trials for Various Conditions
This research is being conducted to learn which implementation strategy of EQUIPPED is most effective to improve prescribing practices of ED providers toward older Veterans and determine the factors influencing implementation of this program to reduce the prescribing of PIMs to older adults upon discharge from the ED. The study has three research aims. The procedures for these research aims are described below: * Aim 1 - Examining the Impact of Passive Provider Feedback vs. Active Provider Feedback Through a Randomized Trial * Aim 2 - Determination of Factors Affecting Organizational Adoption of EQUIPPED * Aim 3 - Micro-Costing the Active and Passive Feedback Versions of the EQUIPPED Intervention
Under the auspices of the Oral Health Section of the NC Department of Health and Human Services clinician-investigators from the UNC Oral and Maxillofacial Surgery Department are conducting a survey to assess current analgesic prescribing practices in NC with a goal of eventually reaching consensus among clinicians for a wide range of procedures and conditions where pain control is important for successful patient outcomes. We hope that about 850 dentists and 600 physicians will agree to take part in this research study. Participation in this Qualtrics survey e-mailed in mid-February 2019 will take about 15 minutes or less.
This is a prospective, randomized clinical trial to investigate the clinical impact of a preemptive pharmacogenomics strategy to guide antidepressant therapy in cancer patients. Those enrolled onto the clinical trial will be randomized to either DNA-guided choice of therapy or clinical management alone. Scores on self-reported measures of depressive and anxiety symptoms along with quality of life will be compared between cohorts.
Introduction: The Beers list identifies medications that should be avoided in persons 65 years or older because they are ineffective, pose an unnecessarily high risk, or a safer alternative is available. In a recent study, we found a high rate of prescribing of Beers list medications to hospitalized patients. At Baystate, 41% of medical patients received at least one Beers list drug classified as "high severity," meaning it carried a high risk for an adverse drug reaction, while 5% received 3 or more. Some Beers drugs have been associated with delirium and falls. When compared to Baystate patients who did not receive a high severity medication, those who did had an increased risk of mortality (7.8% vs. 5.2%), longer length of stay (5.5 days vs. 3.9 days) and higher costs ($11,240 vs. 6243). Specific Aims: 1. Quantify the impact of synchronous electronic alerts on physician prescribing of high-severity Beers' list drugs to hospitalized patients over the age of 65 years. 2. Compare physician reactions to each drug-specific alert Project Description: We will develop a series of clinical alerts in CIS, Baystate's computerized provider order entry system, to reduce the use of potentially inappropriate medications among hospitalized elders. We will randomize providers to electronic alerts or usual care. Whenever a provider randomized to alerts attempts to place an order for a high-risk medication on the Beers list and the intended recipient is over 65 years of age, a synchronous alert (i.e. a "pop-up") will inform the physician about the risks associated with the medication and will propose safer alternatives. We will collect data on physician ordering and patient outcomes comparing the number of Beers list prescriptions from providers receiving electronic alerts to those not receiving alerts. Our anticipated outcome is a decrease in inappropriate prescribing during the period when the electronic alerts are activated. Other potential outcomes include decrease in length of stay and a decrease in falls.
This is a study of emergency physicians' prescribing patterns related to opioid (narcotic) medications. We are trying to determine whether giving providers access to their own prescribing data influences their prescribing patterns.
EAGLE-HF (Early Assessment and initiation of GuideLine-directed Evidence-based management-HF) is a prospective single site study of a multinational, unblinded, randomized-controlled, longitudinal trial called SYMPHONY. Primary, secondary and exploratory outcomes that are part of SYMPHONY are not described herein as they replicate SYMPHONY outcomes. Data associated with SYMPHONY outcomes will be sent to the SYMPHONY coordinating center. In EAGLE-HF, site investigators will examine if a new-onset heart failure (HF) diagnosis are asscoiated with social determinants of health (6 factors), social vulnerability index and distressed community indices. In addition, for patients diagnosed with HFrEF, prescribing patterns (use of and dose of) core HF medications will be assessed for association with physician practice type and medical provider type. Finally, (among participants in the SYMPHONY Active arm, an optimal NTproBNP cut-point will be assessed for diagnosis of HF based on social determinants of health, social vulnerability index, distressed community index, HF risk factors and medical comorbidities.
Patient safety is at the forefront of critical issues in health care. Medications are the single most frequent cause of adverse events, and in the inpatient setting adverse drug events (ADEs) are common, expensive, injurious to patients, and often preventable. Relatively little, however, is known about the frequency of ADEs in the ambulatory setting, how to monitor for outpatient ADEs, or on the impact of prevention strategies such as computerization of prescribing supplemented by decision-support.
This study will test e-mails to encourage engagement with the Minnesota prescription monitoring program (PMP/PDMP) and will evaluate the effect of these e-mails on PMP/PDMP use and controlled substance prescribing.
This study is a randomized controlled parallel arms trial. The purpose of this study is to evaluate if prescribing exercise in pregnancy can change maternal behavior towards exercise.
Many prescription opioids following surgery are left unused and are at risk of being misused or diverted. Encouraging proper disposal is important, yet motivating this behavior remains challenging as patients must understand the risks of opioids, the benefits of disposal, and identify opportunities and places to dispose of them safely. Alternative disposal techniques can improve disposal rates but may be lost or forgotten. Applying behavioral economics techniques may lower the barriers and promote disposal. The objective is to test the effect of a specifically timed, mailed, at-home kit on disposal rates following surgery.
The purpose of this study is to see if a medication taste test influences the prescribing habits of pediatric prescribers at Mayo Clinic.
The purpose of this study is twofold: 1. to measure the effects of transitioning from one electronic prescribing system to another in the ambulatory setting on medication errors and human-computer interactions 2. to evaluate the impact of electronic transmission of discharge medication lists to the ambulatory setting on medication discrepancies and adverse drug events
The goal of this clinical trial is to learn if use of the HAPPI software can improve pharmacist-provided birth control services. The main questions it aims to answer are: 1. Does the HAPPI software make it easier for pharmacists to provide birth control services in their pharmacy? 2. Does the HAPPI software make it easier for patients to access birth control? Researchers will compare pharmacists' implementation and patients' access when using the HAPPI software and when not using the HAPPI software to see if the software improves implementation and access. Participants will include pharmacists and patients. Pharmacists will be asked to provide birth control services as normal while using the HAPPI software. Patients will be asked to receive birth control services from a pharmacist as normal, while using the HAPPI software.
The goal of this clinical trial is to learn if electronic health record (EHR) nudges (changes to the EHR that do not restrict freedom of choice or alter incentives) can reduce Z-drug prescribing in primary care clinics for patients with insomnia. The main questions it aims to answer are: 1. Can Z-drug prescribing be reduced by setting the dispense quantity default of new Z-drug orders in the EHR to 10 pills with 0 refills? 2. Can Z-drug prescribing be reduced by an EHR alert that suggests clinicians remove a Z-drug and/or add an evidence-based behavioral treatment for insomnia, followed by a request to justify their reasoning if the suggestion is not followed? 3. Does combining these two nudges reduce Z-drug prescribing? Researchers will compare each nudge individually and in combination to an guideline education control group to see if each nudge (separately and in combination) can reduce Z-drug prescribing. Clinician-participants will: 1. Complete an introductory educational module about treating insomnia and relevant EHR changes. 2. Complete their routine patient visits. 3. Either experience EHR changes when prescribing Z-drugs, including a Z-drug dispense quantity default of 10 pills for new orders, a prompt to remove or justify Z-drug orders, both, or neither.
The goal of this pilot clinical trial is to learn if providing a clinical decision framework for managing older adults chronic conditions during hospitalization to inpatient clinicians improves clinicians' ability to individualize chronic condition prescribing decisions for hospitalized older adults (65 and older). The main questions it aims to answer are: * Will the clinical decision framework lead to clinicians having greater confidence to individualize discharge prescribing? * Will clinicians using the framework discharge make fewer changes to hospitalized older adults with home diabetes and hypertension medications than they did prior to receiving the framework? * Will older adult patients of participating clinicians will report fewer gaps in understanding of medication changes after the clinician is exposed to the framework? Researchers will compare participating clinician survey responses and prescribing records from before and after an educational session presenting the clinical decision framework. Participants will be asked to * Attend a one-time educational session on the clinical decision framework * Complete 2 electronic surveys, one before and one following the educational session. * Agree for researchers to contact their patients, in order for patients to complete a one-time phone survey about changes made to home medications during hospitalization and quality of communication from the hospital team.
The objective of this study is to evaluate the impact of a clinical decision support (CDS) alert to facilitate the co-prescribing of naloxone, an opioid overdose reversal agent, with high-risk opioid prescriptions. Prescribing naloxone with opioids is a best practice described in the 2022 US Center for Disease Control and Prevention (CDC) guidelines on opioid prescribing. The CDS can improve quality of care delivered by improving compliance with the guideline defined best practices. The project will compare CDS alert facilitated co-prescribing of naloxone with high-risk opioid prescriptions vs usual care to evaluate the effectiveness of the CDS alert for improving naloxone prescribing. The patients are not assigned to an intervention and will be receiving any changes in care as part of their routine medical care, rather than a specific intervention that is distinct from their usual medical care. The researchers hypothesize that the CDS alert will be acceptable to providers while increasing naloxone co-prescribing which will reduce the number of opioid overdoses in subsequent 6 months.
Since the "National Partnership to Improve Dementia Care" debuted in 2012, almost all long-stay psychoactive prescribing has been graded by CMS, which has correlated to decreased use. However, some national data suggest that while these psychoactive medications are being used less, prescriptions of mood-stabilizing antiepileptic drugs (AEDs) have increased. Unlike all other psychoactive medications, AEDs prescribed in nursing homes are not mandatorily reported to CMS or graded in a quality-measure.
This study will test the impact of addressing diffusion of responsibility with and without additional reduction of prescribing burden on SGLT-2i and GLP-1RAs prescribing compared to usual care. Population: MGH primary care physicians caring for at least 2 eligible patients. Eligible patients are individuals age18 years or older with type 2 diabetes and HbA1c \>7.5% and a compelling indication for an SGLT-2i or GLP-1RA (including cardiovascular disease, kidney disease, heart failure, or obesity), who are not already prescribed one of these therapies. Intervention: PCPs will be randomized to one of three arms: 1) intervention to address diffusion of responsibility, 2) Intervention to address diffusion of responsibility with additional simplification of prescribing, 3) usual care.
This is a research project in which two standard of care practices will be evaluated to examine the difference in outcomes. The goal is to improve patient care and safety. One group will receive prescriptions for acetaminophen, nonsteroidal anti-inflammatory drugs (NSAIDs), and magnesium. The other group will receive the recommendation to take acetaminophen, NSAIDs, and magnesium as over-the-counter drugs in the same dosage as the prescription group. The same doses and routes for non-opioid medications will be used in both groups.
This study will assess whether a modification in the default dose and frequency (the first option a provider sees) during electronic prescribing of a high-risk drug can impact prescribing behavior and subsequent changes in average dose for the targeted high-risk drug, when prescribed to a hospitalized patient aged ≥65 years. In this cluster randomized crossover (CRXO) trial we will randomize a non-intrusive "nudge" intervention, which involves modifying the default dose for high-risk drugs when prescribed electronically to hospitalized patients aged ≥65 years. The CRXO trial involves 10 sites in an urban health system: five sites will start the trial under the intervention/control during a first time period (T1) after which they switch intervention/control status (T2). The primary outcome is prescription rate of a lower default dose (i.e. the geriatric standard) for 8 high-risk drugs. This study will inform the effectiveness of EHR-based "nudge" interventions to reduce inappropriate prescribing of high-risk drugs for elderly patients. Analyses ongoing, expected to finalize spring 2023
This prospective, multicenter, comparative cohort observational study is to determine if Guidance® UTI pathway compared to traditional diagnostic pathways reduces the rates of empiric antibiotic therapy, adverse events, and improves therapeutic accuracy of treatment
The prescribing information provides information on medicines. This study will check the number of patients starting febuxostat and the number of febuxostat users with cardiovascular disease after changes to the prescribing information.
This pilot project aims to reduce the prescribing of high-risk medications, such as antipsychotics and benzodiazepines, to hospitalized older adults. To accomplish this, this project consists of two phases. The purpose is to determine whether a novel simulation-based training program reduces prescribing of suboptimal medications for older adults. A 2-arm pilot randomized controlled trial will be conducted to test a simulation-based, principle-driven intervention targeting high-risk prescribing practices versus control.
Prescribing of potentially unsafe medications for older adults is extremely common; benzodiazepines and sedative hypnotics are, for example, key drug classes frequently implicated in adverse health consequences for vulnerable older adults, such as confusion or sedation, leading to hospitalizations, falls, and fractures. Fortunately, most of these consequences are preventable. Physicians' lack of awareness of alternatives, ambiguous practice guidelines, and perceived pressure from patients or caregivers are among the reasons why these drugs are used more than might be optimal. Reducing inappropriate use of these drugs may be achieved through decision support tools for providers that are embedded in electronic health record (EHR) systems. While EHR strategies are widely used to support the informational needs of providers, these tools have demonstrated only modest effectiveness at improving prescribing. The effectiveness of these tools could be enhanced by leveraging principles of behavioral economics and related sciences.
Antimicrobial resistance is one of today''s most urgent public health problems. An important strategy to slow the spread of antimicrobial resistance is the promotion of judicious antimicrobial use. There are many opportunities to reduce unnecessary antimicrobial-prescribing, including in patients undergoing surgical procedures. The following study will specifically study opportunities to improve antimicrobial use in patients undergoing common urologic procedures at hospitals in the Veterans Health Administration (VHA). Guidelines recommend giving antibiotics for no more than 24-hours after most urologic procedures, but the investigators have shown that the unnecessary use of post-procedural antimicrobials is common in this setting. In a national cohort of nearly 30,000 VHA patients, excessive post-procedural antimicrobials were prescribed after 37.2% of urologic procedures for a median duration of 3.0 excess days. In this study, the investigators will evaluate whether giving regular feedback to providers at 3 VHA hospitals can reduce unnecessary antimicrobial use after urologic procedures.
Analyze baseline concurrent opioid prescribing metrics at the individual prescriber level in the Duke Health System on the identified three main outcome measures. Test the impact of reports on opioid prescriber behaviors with the following primary measures: number of prescriptions with concurrent benzo within reporting period, number of prescriptions with concurrent muscle relaxants within reporting period, and number of encounters with naloxone prescriptions for patients with any opioid-related diagnosis within reporting period. Create a blueprint to implement the concurrent opioid prescribing nudge intervention in other settings.
This study examines the comparative effectiveness of opioid review programs in reducing unsafe opioid prescribing in two states: prospective prior authorization (PA) with hard stops in Washington and retrospective review (RR) with prescriber notification in Ohio.
In this study, the investigators will evaluate the effect of a health system initiative aiming to change clinician opioid prescribing behaviors using two behavioral economic interventions - individual audit feedback and peer comparison feedback of clinicians.
Risk of long-term opioid dependence increases with initial opioid dose/duration, but despite recent Centers for Disease Control and Prevention (CDC)-endorsed minimum doses for initial opioid prescription, primary care providers are likely to overprescribe. In this quality improvement project, primary care departments at Weill Cornell and the Institute for Family Health (federally qualified health center in New York City) will implement an unobtrusive "nudge" in their electronic prescribing software to promote the CDC-endorsed low doses for all opioids. In the evaluation, we will employ a quasi-experimental design with rigorous interrupted time series analysis methods to assess the effect of the "nudge" on prescribing rates. The analysis will be performed at the provider level, with deidentified physician data and a limited data set (fully deidentified except for date of prescription) of patient-level data.
The purpose of this study is to characterize and improve controlled substance, carisoprodol and tramadol use in an internal medicine residents' clinic. Specific objectives of this study include: * To measure the adherence to a controlled substance treatment agreement (CSTA) before and after implementation of a population management intervention * To determine the number of patients on a CSTA with a discrepancy identified on a urine drug screen or an Ohio Automated Rx Reporting System (OARRS) report * To track the number of patients on a morphine equivalent dose (MED) of ≥ 80 mg/day before and after implementation of a review intervention * To characterize the healthcare utilization of patients taking controlled substances, carisoprodol, or tramadol by tracking the mean number of ED visits, hospital admissions, telephone calls, and clinic office visits during a 6 month period