Dataset Information

Using REDCap and Apple ResearchKit to integrate patient questionnaires and clinical decision support into the electronic health record to improve sexually transmitted infection testing in the emergency department.

ABSTRACT: OBJECTIVE:Audio-enhanced computer-assisted self-interviews (ACASIs) are useful adjuncts for clinical care but are rarely integrated into the electronic health record (EHR). We created a flexible framework for integrating an ACASIs with clinical decision support (CDS) into the EHR. We used this program to identify adolescents at risk for sexually transmitted infections (STIs) in the emergency department (ED). We provide an overview of the software platform and qualitative user acceptance. MATERIALS AND METHODS:We created an ACASI with a CDS algorithm to identify adolescents in need of STI testing. We offered it to 15- to 21-year-old patients in our ED, regardless of ED complaint. We collected user feedback via the ACASI. These were programmed into REDCap (Research Electronic Data Capture), and an iOS application utilizing Apple ResearchKit generated a tablet compatible representation of the ACASI for patients. A custom software program created an HL7 (Health Level Seven) message containing a summary of responses, CDS recommendations, and STI test orders, which were transmitted to the EHR. RESULTS:In the first year, 1788 of 6227 (28.7%) eligible adolescents completed the survey. Technical issues led to decreased use for several months. Patients rated the system favorably, with 1583 of 1787 (88.9%) indicating that they were "somewhat" or "very comfortable" answering questions electronically and 1291 of 1787 (72.2%) preferring this format over face-to-face interviews or paper questionnaires. CONCLUSIONS:We present a novel use for REDCap to combine patient-answered questionnaires and CDS to improve care for adolescents at risk for STIs. Our program was well received and the platform can be used across disparate patients, topics, and information technology infrastructures.

SUBMITTER: Ahmad FA

PROVIDER: S-EPMC7025361 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Using REDCap and Apple ResearchKit to integrate patient questionnaires and clinical decision support into the electronic health record to improve sexually transmitted infection testing in the emergency department.

Ahmad Fahd A FA Payne Philip R O PRO Lackey Ian I Komeshak Rachel R Kenney Kenneth K Magnusen Brianna B Metts Christopher C Bailey Thomas T

Journal of the American Medical Informatics Association : JAMIA 20200201 2

<h4>Objective</h4>Audio-enhanced computer-assisted self-interviews (ACASIs) are useful adjuncts for clinical care but are rarely integrated into the electronic health record (EHR). We created a flexible framework for integrating an ACASIs with clinical decision support (CDS) into the EHR. We used this program to identify adolescents at risk for sexually transmitted infections (STIs) in the emergency department (ED). We provide an overview of the software platform and qualitative user acceptance. ...[more]

PMID: 31722414

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Project description:ImportanceAdolescents and young adults compose almost 50% of all diagnosed sexually transmitted infection (STI) cases annually in the US. Given that these individuals frequently access health care through the emergency department (ED), the ED could be a strategic venue for examining the identification and treatment of STIs.ObjectiveTo examine the cost-effectiveness of screening strategies for Chlamydia trachomatis and Neisseria gonorrhoeae (chlamydia and gonorrhea) in adolescents and young adults who seek acute care at pediatric EDs.Design, setting, and participantsThis economic evaluation is a component of an ongoing, larger multicenter clinical trial at the Pediatric Emergency Care Applied Research Network. A decision analytic model, created using literature-based estimates for the key parameters, was developed to simulate the events and outcomes associated with 3 strategies for screening and testing chlamydial and gonococcal infections in individuals aged 15 to 21 years who sought acute care at pediatric EDs. Data sources included published (from January 1, 1997, to December 31, 2019) English-language articles indexed in MEDLINE, bibliographies in relevant articles, insurance claims data in the MarketScan database, and reimbursement payments from the Centers for Medicare and Medicaid Services. Because the events and outcomes were simulated, a hypothetical population of 10 000 ED visits by adolescents and young adults was used.InterventionsThe 3 screening strategies were (1) no screening, (2) targeted screening, and (3) universally offered screening. Targeted screening involved the completion of a sexual health survey, which yielded an estimated STI risk (at risk, high risk, or low risk).Main outcomes and measuresOutcome metrics included cost (measured in 2019 US dollars) and the detection and successful treatment of STIs. The incremental cost-effectiveness ratio (ICER) of each strategy was calculated in a base case analysis. The ICER reflects the cost per case detected and successfully treated.ResultsA 3.6% prevalence of chlamydia and gonorrhea was applied to a hypothetical population of 10 000 ED visits by adolescents and young adults. Targeted screening resulted in the detection and successful treatment of 95 of 360 STI cases (26.4%) at a cost of $313 063, and universally offered screening identified and treated 112 of 360 STI cases (31.1%) at a cost of $515 503. The ICER for targeted screening vs no screening was $6444, and the ICER for universally offered screening vs targeted screening was $12 139.Conclusions and relevanceThis economic evaluation found that targeted screening and universally offered screening compared with no screening appeared to be cost-effective strategies for identifying and treating chlamydial and gonococcal infections in adolescents and young adults who used the ED for acute care. Universally offered screening was associated with detecting and successfully treating a higher proportion of STIs in this population.

Dataset Information

Using REDCap and Apple ResearchKit to integrate patient questionnaires and clinical decision support into the electronic health record to improve sexually transmitted infection testing in the emergency department.

Publications

Using REDCap and Apple ResearchKit to integrate patient questionnaires and clinical decision support into the electronic health record to improve sexually transmitted infection testing in the emergency department.

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