37500 Participants Needed

Health Information Technology for Sexually Transmitted Infections

MB
ML
MG
MB
Overseen ByMeleah Boyle
Age: < 65
Sex: Any
Trial Phase: Academic
Sponsor: Children's National Research Institute
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

Trial Summary

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?

Research shows that computerized clinical decision support systems (CDSS) can improve healthcare delivery, such as enhancing sexual health care for adolescents and increasing screening for infections like gonorrhea and chlamydia in emergency departments.12345

Is the Health Information Technology for Sexually Transmitted Infections treatment safe for humans?

The research on clinical decision support systems (CDSSs) suggests they are generally safe as they aim to improve medication safety and reduce errors, but specific safety data for the Health Information Technology for Sexually Transmitted Infections treatment is not available.36789

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

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.

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.

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
Trial Overview The 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

Who Is Running the Clinical Trial?

Children's National Research Institute

Lead Sponsor

Trials
227
Recruited
258,000+

Findings from Research

A new clinical decision support system for sexual health care in emergency departments was developed, which was rated as useful by clinicians (mean score 3.4 out of 4) and easy to use by adolescents (95% found it easy to complete).
The system effectively provided tailored, evidence-based recommendations and improved understanding of emergency contraception options among adolescents, indicating its potential to enhance sexual health services in emergency settings.
Development of a Novel Computerized Clinical Decision Support System to Improve Adolescent Sexual Health Care Provision.Miller, MK., Mollen, C., Behr, K., et al.[2023]
The implementation of a computerized clinical decision support tool for gonorrhea and chlamydia screening in emergency departments achieved a patient capture rate of about 64.5-64.6%, indicating good integration into clinical workflows.
Despite the high capture rates, only 9.9% and 4.4% of patients agreed to testing, suggesting that while the tool is effective in identifying patients, further efforts are needed to encourage adolescents to consent to screening.
Information Technology-Assisted Screening for Gonorrhea and Chlamydia in a Pediatric Emergency Department.Reed, JL., Dexheimer, JW., Kachelmeyer, AM., et al.[2021]
A study involving 76 panelists reached consensus on 110 out of 122 important items related to the design and use of electronic health records (EHRs) with clinical decision support systems (CDSSs), highlighting key areas such as patient demographics, medication prescribing, and alert quality.
The findings suggest that considering these consensus items could enhance the safe and effective use of EHRs in healthcare, although further research is needed to confirm their impact on patient safety and outcomes in Palestinian hospitals.
Merits, features, and desiderata to be considered when developing electronic health records with embedded clinical decision support systems in Palestinian hospitals: a consensus study.Shawahna, R.[2023]

References

Development of a Novel Computerized Clinical Decision Support System to Improve Adolescent Sexual Health Care Provision. [2023]
Information Technology-Assisted Screening for Gonorrhea and Chlamydia in a Pediatric Emergency Department. [2021]
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]
Clinical decision support systems to guide healthcare providers on HIV testing. [2022]
Health information systems evaluation: a focus on clinical decision supports system. [2018]
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]
Development and Evaluation of a Clinical Decision Support System to Improve Medication Safety. [2020]
Continuous Improvement of Clinical Decision Support via an Embedded Survey Tool. [2019]
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]
10.United Statespubmed.ncbi.nlm.nih.gov
Standards in health information technology: promise and challenges. [2016]
11.United Statespubmed.ncbi.nlm.nih.gov
A taxonomic description of computer-based clinical decision support systems. [2019]
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]
The role of standardized data and terminological systems in computerized clinical decision support systems: literature review and survey. [2022]
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