ClinicalTrials.Veeva

Menu

Automated SMS Reminders to Parents on Their Cell Phones Can Significantly Improve the on Time Vaccination Rates Children in Pakistan

A

Aga Khan University

Status

Unknown

Conditions

Vaccination Failure

Treatments

Behavioral: SMS reminders

Study type

Interventional

Funder types

Other

Identifiers

NCT01908946
EM-2013-IER-RPC-TSA-008

Details and patient eligibility

About

The investigators plan to test the effectiveness of reminders to parents/guardians on cell phones through short messaging system (SMS) in improving the on-time routine immunization for children in Pakistan. SMS message as a reminder tool can be very effective in health care settings at public health scale. This study will be conducted in an urban- squatter settlement area, Ibrahim Haidry union council in Karachi. Parents/guardians of children randomized in intervention arm will be sent SMS reminders vaccination visit reminders at 6, 10 and 14 weeks of life.

Full description

The immunization coverage in Pakistan is still well below the desired level, leading to continued polio transmission, large measles outbreaks and thousands of deaths from vaccine-preventable illnesses. A major reason for poor childhood vaccine coverage is the lack of awareness among parents regarding the need for immunization in children, and the importance of completing the entire series of vaccines. This result in significant drop-out between vaccines delivered at birth and later in the infancy period. Customized short messaging system (SMS) text can be designed as personally tailored messages to remind and inquire parents regarding vaccination for their children according to the EPI schedule. We plan to test the effectiveness of reminders to parents/guardians on cell phones through short messaging system (SMS) in improving the on-time routine immunization for children in Pakistan. This study will be conducted in an urban- squatter settlement area, Ibrahim Haidry union council in Karachi, Pakistan. Our experimental plan has three components: First, we will conduct baseline survey of parents at our study site to explore their preferences for text for immunization reminders. Simultaneously, we will develop a computerized application for reminders scheduling. This application will contain the phone number, message information, language preferences and date on which the message will be sent. It will be interfaced with the gateway to send the message. Lastly, we will conduct a randomized controlled trial to determine the effectiveness of automated SMS reminders to parents in improving the on-time vaccination rates in children. If the result shows that the vaccines compliance can be increased through the SMS reminders, this program can be incorporated with the existing systems to collect the cell phone numbers of parents at the time of child's first contact with the health system and sending auto generated reminders for vaccine compliance at national level.

Enrollment

300 estimated patients

Sex

All

Ages

Under 14 days old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Child should be less than 14 days of age
  • Parent/guardian or at least one person in the household having a valid cell phone connection
  • Parent/guardian provides consent

Exclusion criteria

  • Child more than 14 days of age
  • Not a valid cell phone connection in the household
  • Parent/guardian not providing consent

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

300 participants in 2 patient groups

SMS Reminders
Experimental group
Description:
SMS reminders
Treatment:
Behavioral: SMS reminders
Standard verbal counseling
No Intervention group
Description:
One time standard verbal counseling at the time of initial visit and timing for EPI vaccines at 6, 10 and 14 weeks

Trial contacts and locations

1

Loading...

Central trial contact

Abdul M Kazi, MBBS,MPH

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2025 Veeva Systems