<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT01676337</url>
  </required_header>
  <id_info>
    <org_study_id>HS-12-00239</org_study_id>
    <nct_id>NCT01676337</nct_id>
  </id_info>
  <brief_title>Text Message Appointment Reminders</brief_title>
  <acronym>TAR</acronym>
  <official_title>A Text-message Appointment Reminder System to Improve Patient Adherence With Outpatient Follow-up Appointments</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>University of Southern California</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
  </sponsors>
  <source>University of Southern California</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
  </oversight_info>
  <brief_summary>
    <textblock>
      This project proposes administer and evaluate via a randomized controlled trail a text&#xD;
      message-based appointment reminder system to promote attendance at clinic appointments after&#xD;
      ED discharge.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      Failure to attend scheduled clinic appointments causes inefficiency within the healthcare&#xD;
      system, and frequently results in ED visits for non-emergent conditions such as medication&#xD;
      refills, ambulatory care sensitive conditions which are potentially preventable with&#xD;
      appropriate outpatient management (e.g. foot infections). Many patients seen in the ED report&#xD;
      they were unaware of past or future outpatient appointments for which they had been&#xD;
      scheduled. These patients are clearly in need of primary care, yet fail to attend 30% of all&#xD;
      scheduled outpatient appointments. Patients most often report that they failed to attend&#xD;
      scheduled appointments as a result of forgetfulness or confusion regarding dates, times, or&#xD;
      locations. National data confirmed by our previous work in the LAC+USC ED demonstrates that &gt;&#xD;
      80% of this population reports using a text-capable mobile device. The investigators believe&#xD;
      a system of text message appointment reminders has tremendous potential to facilitate clinic&#xD;
      attendance among these patients in desperate need of primary care.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date>July 2012</start_date>
  <completion_date type="Actual">July 2013</completion_date>
  <primary_completion_date type="Actual">July 2013</primary_completion_date>
  <phase>N/A</phase>
  <study_type>Interventional</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <allocation>Randomized</allocation>
    <intervention_model>Parallel Assignment</intervention_model>
    <primary_purpose>Health Services Research</primary_purpose>
    <masking>None (Open Label)</masking>
  </study_design_info>
  <primary_outcome>
    <measure>Adherence with scheduled appointments within 30 days post-enrollment</measure>
    <time_frame>30 days</time_frame>
  </primary_outcome>
  <secondary_outcome>
    <measure>Adherence with scheduled appointments within 6 months post-enrollment</measure>
    <time_frame>6 months</time_frame>
  </secondary_outcome>
  <number_of_arms>2</number_of_arms>
  <enrollment type="Actual">374</enrollment>
  <condition>Text Messages</condition>
  <condition>Emergencies</condition>
  <arm_group>
    <arm_group_label>Control</arm_group_label>
    <arm_group_type>No Intervention</arm_group_type>
    <description>Patients randomized to the control arm will not receive text message reminder regarding their upcoming appointment.</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Text message appointment reminder</arm_group_label>
    <arm_group_type>Experimental</arm_group_type>
    <description>Patients randomized to the intervention arm will receive text message appointment reminders including date, time, and location seven, three and one day prior to their scheduled clinic appointments. All appointment reminders will then be delivered automatically.</description>
  </arm_group>
  <intervention>
    <intervention_type>Other</intervention_type>
    <intervention_name>Text message appointment reminder</intervention_name>
    <description>Patients randomized to the intervention arm will receive text message appointment reminders including date, time, and location seven, three and one day prior to their scheduled clinic appointments. All appointment reminders will then be delivered automatically.</description>
    <arm_group_label>Text message appointment reminder</arm_group_label>
  </intervention>
  <eligibility>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  Age &gt;18&#xD;
&#xD;
          -  Able to provide consent and read in English or Spanish&#xD;
&#xD;
          -  Have a text message capable mobile phone&#xD;
&#xD;
          -  Know how to receive text messages&#xD;
&#xD;
          -  Have upcoming scheduled clinic appointments&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  Unable to provide written informed consent&#xD;
&#xD;
          -  Incarcerated&#xD;
&#xD;
          -  Critically ill&#xD;
&#xD;
          -  Altered Mental Status&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>18 Years</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Sanjay Arora, MD</last_name>
    <role>Principal Investigator</role>
    <affiliation>University of Southern California</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Michael Menchine, MD, MPH</last_name>
    <role>Principal Investigator</role>
    <affiliation>University of California</affiliation>
  </overall_official>
  <location>
    <facility>
      <name>University of Southern California</name>
      <address>
        <city>Los Angeles</city>
        <state>California</state>
        <zip>90033</zip>
        <country>United States</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>United States</country>
  </location_countries>
  <verification_date>May 2015</verification_date>
  <study_first_submitted>August 28, 2012</study_first_submitted>
  <study_first_submitted_qc>August 29, 2012</study_first_submitted_qc>
  <study_first_posted type="Estimate">August 30, 2012</study_first_posted>
  <last_update_submitted>May 26, 2015</last_update_submitted>
  <last_update_submitted_qc>May 26, 2015</last_update_submitted_qc>
  <last_update_posted type="Estimate">May 27, 2015</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>University of Southern California</investigator_affiliation>
    <investigator_full_name>Sanjay Arora</investigator_full_name>
    <investigator_title>MD</investigator_title>
  </responsible_party>
  <keyword>Text messaging</keyword>
  <keyword>Clinic appointment attendance</keyword>
  <keyword>Emergency department</keyword>
  <keyword>Primary care</keyword>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Emergencies</mesh_term>
  </condition_browse>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT01676337
org study id: HS-12-00239
nct id: NCT01676337
lead sponsor: 
has dmc: No
This project proposes administer and evaluate via a randomized controlled trail a text
      message-based appointment reminder system to promote attendance at clinic appointments after
      ED discharge.
Failure to attend scheduled clinic appointments causes inefficiency within the healthcare
      system, and frequently results in ED visits for non-emergent conditions such as medication
      refills, ambulatory care sensitive conditions which are potentially preventable with
      appropriate outpatient management (e.g. foot infections). Many patients seen in the ED report
      they were unaware of past or future outpatient appointments for which they had been
      scheduled. These patients are clearly in need of primary care, yet fail to attend 30% of all
      scheduled outpatient appointments. Patients most often report that they failed to attend
      scheduled appointments as a result of forgetfulness or confusion regarding dates, times, or
      locations. National data confirmed by our previous work in the LAC+USC ED demonstrates that >
      80% of this population reports using a text-capable mobile device. The investigators believe
      a system of text message appointment reminders has tremendous potential to facilitate clinic
      attendance among these patients in desperate need of primary care.
allocation: Randomized
intervention model: Parallel Assignment
primary purpose: Health Services Research
masking: None (Open Label)
measure: Adherence with scheduled appointments within 30 days post-enrollment
time frame: 30 days
measure: Adherence with scheduled appointments within 6 months post-enrollment
time frame: 6 months
arm group label: Control
arm group type: No Intervention
description: Patients randomized to the control arm will not receive text message reminder regarding their upcoming appointment.
arm group label: Text message appointment reminder
arm group type: Experimental
description: Patients randomized to the intervention arm will receive text message appointment reminders including date, time, and location seven, three and one day prior to their scheduled clinic appointments. All appointment reminders will then be delivered automatically.
intervention type: Other
intervention name: Text message appointment reminder
description: Patients randomized to the intervention arm will receive text message appointment reminders including date, time, and location seven, three and one day prior to their scheduled clinic appointments. All appointment reminders will then be delivered automatically.
arm group label: Text message appointment reminder
criteria: 
gender: All
minimum age: 18 Years
maximum age: N/A
healthy volunteers: No
last name: Sanjay Arora, MD
role: Principal Investigator
affiliation: University of Southern California
last name: Michael Menchine, MD, MPH
role: Principal Investigator
affiliation: University of California
facility: 
country: United States
responsible party type: Principal Investigator
investigator affiliation: University of Southern California
investigator full name: Sanjay Arora
investigator title: MD
mesh term: Emergencies