Data from: Establishing the Digital Health Equity & Literacy Program (D-HELP): A student-led initiative to address digital health literacy gaps among emergency department patients at Rush University
Data files
May 09, 2026 version files 27.58 KB
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D-HELP_Encounter_Documentation_Revised.xlsx
21.99 KB
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README.md
5.59 KB
Abstract
The objective of this study was to describe the development and early implementation of the Digital Health Equity & Literacy Program (D-HELP), a student-led quality improvement initiative to promote digital health engagement in the emergency department (ED). Trained student volunteers at Rush University Medical Center delivered in-person education on Epic MyChart and Rush On Demand telehealth services in English and Spanish. Eligible adult patients were identified through the EHR and engaged when clinically appropriate. Over 4 months, 94 patients were approached, with 64 (68 %) receiving some level of intervention. Volunteers documented encounter type, interpreter use, and unsolicited patient feedback. MyChart invitations were sent to 27 patients, with 7 registering on-site. D-HELP demonstrated feasibility, flexibility, and strong patient receptiveness in the ED setting. The model’s low-resource, student-driven design supports scalability and provides a framework for expanding digital health literacy initiatives across diverse clinical settings while addressing social determinants of digital access.
Dataset DOI: 10.5061/dryad.1ns1rn97g
Description of the data and file structure
These data were collected as part of the Digital Health Equity & Literacy Program (D-HELP), a student-led quality improvement and patient education initiative implemented in the emergency department of an academic medical center. The dataset consists of encounter-level documentation completed by trained volunteers during routine patient interactions, capturing patients baseline familiarity with digital health tools (including MyChart, telehealth, and virtual urgent care), the type of educational services offered or delivered, and patients receptivity to those services. Additional fields document operational aspects of encounters, such as language barriers, reasons for declining education, and qualitative feedback regarding the program.
Data collection was conducted for program monitoring, service evaluation, and quality improvement purposes only. No interventions beyond patient education were performed, no clinical outcomes were assessed, and no identifiable patient information is included in the shared dataset.
Files and variables
File: D-HELP_Encounter_Documentation_Revised.xlsx
Description: This Excel file contains de-identified encounter-level documentation from the Digital Health Equity & Literacy Program (D-HELP), a student-led patient education and quality improvement initiative conducted in the emergency department of an academic medical center. Data were recorded by trained volunteers during routine patient encounters to document patients baseline familiarity with digital health tools, the educational services offered or delivered, and patient receptivity and feedback.
The file contains a single worksheet with the variables described below. Unavailable entries are denoted as "n/a."
Variables
- Patients prior experience with MyChart
Patients self-reported familiarity with MyChart, including whether they had heard of MyChart, previously used it, or had an activated account. - Patients prior experience with telehealth
Patients self-reported prior use of telehealth services or interest in learning about telehealth. - Patients prior experience with Rush On-Demand virtual visit
Patients self-reported awareness or prior use of Rush On-Demand virtual urgent care. - What kind of service did this patient receive?
Type of service provided during the encounter (e.g., invitation to sign up for MyChart, education on MyChart features, education on On-Demand virtual urgent care, brochures only, patient refused service). - If the patient refused our service, what is their reason?
Free-text documentation of the patients stated reason for declining services, when applicable. - Was there a language barrier or any other difficulties with this encounter?
Documentation of language barriers or other challenges encountered during the interaction. - What MyChart feature did you cover in this encounter if patient received our education service?
MyChart functions reviewed during the encounter, such as scheduling appointments, viewing test or laboratory results, messaging providers, viewing medications, or paying bills. - If patient received our service, how receptive are they to our service?
Volunteer-assessed patient receptivity to the education provided (e.g., strongly interested, open to service, indifferent, resistant). - How likely will our patient recommend our service on MyChart education to others?
Patients likelihood of recommending MyChart education or the D-HELP service to others, when assessed. - Are there any other things you would like to document for this encounter?
Optional free-text notes describing notable events or circumstances during the encounter. - Gather patient opinions and feedback on MyChart and the D-HELP service
Qualitative patient feedback, including likes or dislikes about MyChart or impressions of the D-HELP service. All entries are paraphrased. - Rush MyChart Utilization
Patient-reported frequency of Rush MyChart use if the patient had an activated account. If the patient did not have an activated account, this was indicated accordingly.
Code/software
Microsoft Excel, or Google Sheets
Human subjects data
This dataset was generated as part of a quality improvement (QI) initiative conducted in the emergency department at Rush University Medical Center to evaluate the feasibility and implementation of a digital health literacy intervention. In accordance with institutional policy, this project was classified as quality improvement and did not require IRB review or approval. No personally identifiable information was collected at any point. The dataset contains only aggregate or coded interaction-level information.
Human subjects data
This dataset was generated as part of a quality improvement (QI) initiative conducted in the emergency department at Rush University Medical Center to evaluate the feasibility and implementation of a digital health literacy intervention. In accordance with institutional policy, this project was classified as quality improvement and did not require IRB review or approval. No personally identifiable information was collected at any point. The dataset contains only aggregate or coded interaction-level information.
