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Impact of Automated Calls on Pediatric Patient Attendance in Chile (Health Call)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT02442089
Recruitment Status : Completed
First Posted : May 13, 2015
Last Update Posted : June 14, 2016
Sponsor:
Collaborators:
Hospital Luis Calvo Mackenna
Merlin Telecom
Information provided by (Responsible Party):
Johns Hopkins Bloomberg School of Public Health

Brief Summary:

Missed health care appointments present a serious challenge to patient care. Especially in government funded health systems like that of Chile, missed appointments can lead to delayed care, wasted resources, and escalating costs.

This private-public-research collaboration seeks to provide a rigorous, practical evaluation of a new patient reminder system, evaluate how health beliefs impact patient attendance, and capture the potential for scaling up this or other health technology systems. Using a mixed-methods approach this study will provide contextualized, triangulated analysis of pediatric patient attendance in Chile.


Condition or disease Intervention/treatment Phase
Attendance Behavioral: Health Call Not Applicable

Detailed Description:

The Health Call study is divided into two phases. The first phase is a randomized controlled trial and side-by- side cost-benefit analysis. Enrolled guardians of pediatric patients will complete a questionnaire at the point of referral and then be randomized to intervention, the automated reminder system, or no reminder. The investigators will then monitor attendance status at their subsequent appointment and evaluate whether the appointment reminders affected attendance as well as the cost-benefit ratio of using the reminder system.

The second phase will involve interviewing guardians and healthcare professionals. These interviews have two foci. First, combined with patient, guardian, and/or household data from the randomized trial, these results will be used to develop a more comprehensive understanding of why pediatric patients attend appointments. The second focus is on improving the reminder system and developing new health technology interventions that can increase patient attendance.

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Study Type : Interventional  (Clinical Trial)
Actual Enrollment : 263 participants
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Single (Investigator)
Primary Purpose: Health Services Research
Official Title: Health Call: A Randomized Control Trial of Interactive Automated Reminder Calls to Reduce Failure to Attend Rates at an Urban Referral Hospital in Chile
Study Start Date : December 2013
Actual Primary Completion Date : January 2016
Actual Study Completion Date : June 2016

Arm Intervention/treatment
No Intervention: No Intervention
The intervention arm subjects will not receive the automated interactive voice reminder before their appointment.
Experimental: Intervention
The intervention arm subjects will receive the automated interactive voice reminder before their appointment.
Behavioral: Health Call
Health Call is an automated interactive voice reminder system that can contact guardians of patients ahead of their child's appointment, asks then confirms a security question about the patient, then, if the call recipient passes the security screen, provides a reminder about upcoming appointment.




Primary Outcome Measures :
  1. Intervention impact [ Time Frame: 9 months ]
    Evaluate whether a patient reminder system, Health Call, can decrease the overall failure to attend appointment rate as a percentage of overall appointments

  2. Key attendance factors [ Time Frame: 9 months ]
    Examine what demographic or health belief factors are significantly related to appointment attendance as measured by a psychometric questionnaire

  3. Develop new interventions [ Time Frame: 9 months ]
    Investigate staff and recipient opinions of patient attendance, the Health Call system, and ideas for future interventions to reduce failure to attend as measured through in-depth interviews



Information from the National Library of Medicine

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Ages Eligible for Study:   up to 18 Years   (Child, Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Criteria

Inclusion Criteria:

  • Guardian with a phone number (land-line or mobile) who is able to receive and answer voice calls
  • Guardian who is willing to take part in the study and complete the consent form
  • Guardian who is sufficiently proficient in Spanish so as to complete the questionnaire
  • Guardian's patient who has a referral appointment at Hospital Luis Calvo Mackenna who is 18 years of age or younger

Exclusion Criteria:

  • Guardian or child who do not meet the inclusion criteria
  • Anyone that lives in the same household as an enrolled study participant.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02442089


Locations
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Chile
Hospital Luis Calvo Mackenna
Santiago, Chile
Sponsors and Collaborators
Johns Hopkins Bloomberg School of Public Health
Hospital Luis Calvo Mackenna
Merlin Telecom
Investigators
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Principal Investigator: William Weiss, DrPH, MA Johns Hopkins Bloomberg School of Public Health
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Responsible Party: Johns Hopkins Bloomberg School of Public Health
ClinicalTrials.gov Identifier: NCT02442089    
Other Study ID Numbers: 00004109
First Posted: May 13, 2015    Key Record Dates
Last Update Posted: June 14, 2016
Last Verified: May 2015
Keywords provided by Johns Hopkins Bloomberg School of Public Health:
mHealth
eHealth
Health Systems
Health Technology
No Show
Non-attendance
Chile
Randomized controlled trial
Efficiency, Organizational
Pediatric Hospitals
Global Health
Referral and Consultation
Health Care Systems
Community Health Systems
Health Information Systems
Integrated Health Care Systems
Community Medicine