Health Information Technology for Sexually Transmitted Infections
Recruiting in Palo Alto (17 mi)
Age: < 65
Sex: Any
Travel: May Be Covered
Time Reimbursement: Varies
Trial Phase: Academic
Recruiting
Sponsor: Children's National Research Institute
Disqualifiers: Critically ill, Cognitively impaired, others
No Placebo Group
Trial Summary
What is the purpose of this trial?
We will compare differences in sexually transmitted infection (STI) detection rates between sexual health survey (SHS)-derived electronic clinical decision support (CDS) versus usual care (e.g. no provision of CDS) using an interrupted time series design. We hypothesize that population-based STI detection rates will be higher when SHS-derived electronic CDS is provided compared to usual care. Secondary analysis will include a comparison of STI detection rates by sexual risk strata (high risk vs. at risk) and race/ethnicity.
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications.
What data supports the effectiveness of the treatment SHS-derived CDS for STI detection?
Is the Health Information Technology for Sexually Transmitted Infections treatment safe for humans?
How is the SHS-derived CDS treatment for sexually transmitted infections unique?
The SHS-derived CDS treatment is unique because it uses electronic clinical decision support systems to help healthcare professionals make better decisions by integrating patient data from various sources, which can improve guideline adherence and reduce errors, unlike traditional treatments that may not utilize such technology.510111213
Eligibility Criteria
This trial is for adolescents aged 15-21 years who are seeking care in the emergency department. It's designed to see if a special health survey can help find sexually transmitted infections (STIs) better than the usual way doctors check for these infections.Inclusion Criteria
I am between 15 and 21 years old and seeking care in the emergency department.
Trial Timeline
Screening
Participants are screened for eligibility to participate in the trial
1-2 weeks
Intervention
Participants receive either SHS-derived electronic CDS or usual care
Ongoing during ED visits
Visits occur during emergency department encounters
Follow-up
Participants are monitored for STI detection rates 3-7 days after ED visit
1 week
Treatment Details
Interventions
- SHS-derived CDS (Behavioral Intervention)
Trial OverviewThe study is testing whether an electronic clinical decision support system, derived from a sexual health survey, improves STI detection rates compared to standard practices without this technology. The comparison will be made over time and also look at different levels of sexual risk and race/ethnicity.
Participant Groups
2Treatment groups
Experimental Treatment
Active Control
Group I: SHS-derived CDSExperimental Treatment1 Intervention
All adolescents seen in the emergency department that meet eligibility criteria will be offered the sexual health survey (SHS) during the pragmatic trial.
Group II: Usual careActive Control1 Intervention
All adolescents seen in the emergency department that meet eligibility criteria prior to implementation of SHS-derived CDS.
Find a Clinic Near You
Research Locations NearbySelect from list below to view details:
Children's National HospitalWashington, United States
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Who Is Running the Clinical Trial?
Children's National Research InstituteLead Sponsor
References
Development of a Novel Computerized Clinical Decision Support System to Improve Adolescent Sexual Health Care Provision. [2023]The objective was to develop an acceptable clinical decision support (CDS) system to facilitate evidence-based sexual health care for adolescents in the emergency department (ED).
Information Technology-Assisted Screening for Gonorrhea and Chlamydia in a Pediatric Emergency Department. [2021]The aim of the study was to design and implement a novel, universally offered, computerized clinical decision support (CDS) gonorrhea and chlamydia (GC/CT) screening tool embedded in the emergency department (ED) clinical workflow and triggered by patient-entered data.
Merits, features, and desiderata to be considered when developing electronic health records with embedded clinical decision support systems in Palestinian hospitals: a consensus study. [2023]Electronic health records (EHRs) with embedded clinical decision support systems (CDSSs) have the potential to improve healthcare delivery. This study was conducted to explore merits, features, and desiderata to be considered when planning for, designing, developing, implementing, piloting, evaluating, maintaining, upgrading, and/or using EHRs with CDSSs.
Clinical decision support systems to guide healthcare providers on HIV testing. [2022]To understand the impact of clinical decision support systems (CDSSs) on improving HIV testing and diagnosis.
Health information systems evaluation: a focus on clinical decision supports system. [2018]In a review of selected literature on Health Information Systems (HIS) evaluation, a specific focus on Clinical Decision Support Systems (CDSS) is taken because of their relative popularity. This paper discusses the issues and problems of CDSS evaluation such as methods, adoption and barriers. The limited use and evaluation of CDSS are still debated. Clinical evaluations of CDSS performed in the actual clinical settings may provide better understanding of their adoption, particularly in the diagnostic function. New HIS evaluation frameworks that incorporate technological, human and organisational issues may be useful to complement existing ones.
The Effect of Laboratory Test-Based Clinical Decision Support Tools on Medication Errors and Adverse Drug Events: A Laboratory Medicine Best Practices Systematic Review. [2022]Laboratory and medication data in electronic health records create opportunities for clinical decision support (CDS) tools to improve medication dosing, laboratory monitoring, and detection of side effects. This systematic review evaluates the effectiveness of such tools in preventing medication-related harm.
Development and Evaluation of a Clinical Decision Support System to Improve Medication Safety. [2020]Clinical decision support systems (CDSSs) are a good strategy for preventing medication errors and reducing the incidence and severity of adverse drug events (ADEs). However, these systems are not very effective and are subject to multiple limitations that prevent their implementation in clinical practice.
Continuous Improvement of Clinical Decision Support via an Embedded Survey Tool. [2019]Clinical decision support systems (CDSS) are widely used to improve patient care and guide workflow. End users can be valuable contributors to monitoring for CDSS malfunctions. However, they often have little means of providing direct feedback on the design and build of such systems. In this study, we describe an electronic survey tool deployed from within the electronic health record and coupled with a conversation with Clinical Informaticians as a method to manage CDSS design and lifecycle.
Implementing an evidence-based computerized decision support system to improve patient care in a general hospital: the CODES study protocol for a randomized controlled trial. [2019]Computerized decision support systems (CDSSs) are information technology-based software that provide health professionals with actionable, patient-specific recommendations or guidelines for disease diagnosis, treatment, and management at the point-of-care. These messages are intelligently filtered to enhance the health and clinical care of patients. CDSSs may be integrated with patient electronic health records (EHRs) and evidence-based knowledge.
Standards in health information technology: promise and challenges. [2016]Implementation of health information technology (HIT) can lead to improved quality of care, including improved guideline adherence, better surveillance and decreased medication errors. In the context of health information technology, computer-based clinical decision support (CDS) systems can improve clinician performance and reduce errors in practice. Indeed, the promise of electronic health records lies principally in the integration of patient data from diverse sources that enables clinicians to take action. While considerable work has been accomplished, the lack of widely agreed standards remains an impediment to the implementation to HIT generally and to clinical decision support in particular. This applies both to patient data as well as to clinical knowledge that might be applied to those data to assist clinicians in making decisions.
A taxonomic description of computer-based clinical decision support systems. [2019]Computer-based clinical decision support systems (CDSSs) vary greatly in design and function. Using a taxonomy that we had previously developed, we describe the characteristics of CDSSs reported in the literature.
Clinical Decision Support systems: A step forward in establishing the clinical laboratory as a decision maker hubA CDS system protocol implementation in the clinical laboratory. [2023]New tools for health information technology have been developed in recent times, such as Clinical Decision Support (CDS) systems, which are any digital solutions designed to help healthcare professionals when making clinical decisions. The study aimed to show how we have adopted a CDS system in the San Juan de Alicante Clinical Laboratory and facilitate the implementation of our protocol in other clinical laboratories. We have user experience and the motivation to improve healthcare tools. The improvement, measurement, and monitoring of interventions and laboratory tests has been our motto for years.
The role of standardized data and terminological systems in computerized clinical decision support systems: literature review and survey. [2022]Clinical decision support systems (CDSSs) should be seamlessly integrated with existing clinical information systems to enable automatic provision of advice at the time and place where decisions are made. It has been suggested that a lack of agreed data standards frequently hampers this integration. We performed a literature review to investigate whether CDSSs used standardized (i.e. coded or numerical) data and which terminological systems have been used to code data. We also investigated whether a lack of standardized data was considered an impediment for CDSS implementation.