Related Experiment Video
Updated: Feb 8, 2026

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
Linkage of Emergency Department Patients With Public Benefits Navigators via Text Messages: A Randomized Clinical
Austin S Kilaru1,2,3, Aliza Haider1,4, Joseph Harrison5,6,7
1Center for Healthcare Transformation and Innovation, Penn Medicine, Philadelphia, Pennsylvania.
Importance:
Enrollment in public benefits is associated with improved health outcomes, yet many eligible individuals do not claim them. Public benefit programs are important policy tools to address health-related social needs. Health systems have developed new partnerships with community organizations to assist patients with enrollment in benefits.
Objective:
To determine whether text messages were more effective than paper referrals in prompting patients to contact benefits navigators following discharge from the emergency department.
Design, Setting, And Participants:
This 2-arm, nonblinded, randomized clinical trial was conducted from November 2023 to April 2024 at 2 academic hospital emergency departments in Philadelphia, Pennsylvania, and included adult individuals in stable condition with Medicaid or Medicare insurance who were discharged from the emergency department and eligible for at least 1 of 10 public benefit programs. Individuals were excluded if they were unable to read English or did not have access to a mobile phone. Data were analyzed from May 2024 to November 2024.
Interventions:
Eligible participants were randomized in a 1:1 ratio. Participants allocated to the intervention received a series of 4 automated text messages over 14 days that prompted them to contact a benefits navigator telephone line operated by a community partner; those allocated to the control group received a paper flyer.
Main Outcomes And Measures:
The primary outcome was whether study participants called benefits navigators within 14 days. Secondary outcomes included whether study participants submitted any benefits application within 14 days.
Results:
Of 1778 patients screened, there were 160 participants enrolled. Participants' mean (SD) age was 44 (17) years; 94 (59%) were women, 145 (91%) were non-Hispanic Black, and 11 (7%) were non-Hispanic White. In the intervention group, 20 participants (25%) contacted benefits navigators vs 0 in the control group (difference, 25 percentage points; 95% CI, 16%-35%). In the intervention group, 11 participants (14%) submitted at least 1 application for public benefits compared with 0 in the control group (difference, 14 percentage points; 95% CI, 6-22).
Conclusions And Relevance:
The trial results suggest that text messages were more effective than paper referrals to help eligible emergency department patients seek assistance with public benefits applications. Text messages may offer a tool to allow health systems, in collaboration with community partners, to address health-related social needs.
Trial Registration:
ClinicalTrials.gov Identifier: NCT05654220.
More Related Videos
07:52Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department
Published on: January 29, 2011
06:28E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Related Concept Videos
Clinical Trials
There are four phases in a clinical trial. A phase one...
Clinical Trials: Overview
Phosphodiester Linkages
Phosphodiester bond forms when a phosphoric acid molecule (H3PO4) links with two hydroxyl groups (–OH) of two other molecules, forming two ester bonds. Two water molecules are released in this process. The phosphodiester bond is commonly found in nucleic acids (DNA and RNA) and plays a critical role in their structure and function.
Phosphodiester Bonds Link Nucleotides Together
DNA and RNA are polynucleotides or long chains of nucleotides that are linked together. A nucleotide is...
Ligand Binding and Linkage
Ligand Binding and Linkage
Statistical Software for Data Analysis and Clinical Trials