TextFluenza: Using Technology To Promote Flu Vaccination In Underserved Maternal And Child Populations

NCT ID: NCT01146912

Last Updated: 2015-10-07

Study Results

Results available

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

30537 participants

Study Classification

INTERVENTIONAL

Study Start Date

2010-06-30

Study Completion Date

2012-04-30

Brief Summary

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The Advisory Committee on Immunization Practices (ACIP)recommends that the flu vaccine be administered annually to all children aged 6 months to 18 years as well as women who are pregnant during the influenza season. Nevertheless, targeting and mobilizing these populations has been difficult and influenza immunization rates nationwide remain low. Immunization reminder-recalls have been shown to be effective, but have had limited ability to rapidly identify and reach large target populations in a cost-effective manner. Evidence on how to optimally design these systems is not yet available and thus text message immunization alerts have not been widely implemented. The investigators propose to implement and evaluate tailored, targeted influenza text message reminders in urban pediatric and pregnant populations.

Detailed Description

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Conditions

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Influenza

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

SINGLE

Participants

Study Groups

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Text message vaccine reminders

Receipt of text message vaccine reminders

Group Type EXPERIMENTAL

Text Message

Intervention Type OTHER

Text message vaccine reminders

automated call

Intervention Type OTHER

Automated call

automated phone call from clinic

Receipt of automated phone call from clinic

Group Type ACTIVE_COMPARATOR

automated call

Intervention Type OTHER

Automated call

Interventions

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Text Message

Text message vaccine reminders

Intervention Type OTHER

automated call

Automated call

Intervention Type OTHER

Other Intervention Names

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Health services Health services

Eligibility Criteria

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Inclusion Criteria

* Children aged 6 months to 18 years at the beginning of current influenza season
* Children with one previous visit at participating pediatric community health center in last year
* Parent with cell phone number in registry

Pregnant women Pilot (2010-2011 influenza seasons)

* Pregnant women who will be in their 2nd or 3rd trimester during the influenza season
* Own a cell phone with text message capability

Randomized controlled Trial (2011-2012 influenza seasons)

* Pregnant and will be in their 2nd or 3rd trimester during the influenza season
* Cell phone number in registry
Minimum Eligible Age

6 Months

Maximum Eligible Age

50 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Columbia University

OTHER

Sponsor Role lead

Responsible Party

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Melissa Stockwell, MD, MPH

Asst Prof of Pediatrics and Population and Family Health

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Melissa S Stockwell, MD MPH

Role: PRINCIPAL_INVESTIGATOR

Columbia University

Locations

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Columbia University Medical Center

New York, New York, United States

Site Status

Countries

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United States

References

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Stockwell MS, Westhoff C, Kharbanda EO, Vargas CY, Camargo S, Vawdrey DK, Castano PM. Influenza vaccine text message reminders for urban, low-income pregnant women: a randomized controlled trial. Am J Public Health. 2014 Feb;104 Suppl 1(Suppl 1):e7-12. doi: 10.2105/AJPH.2013.301620. Epub 2013 Dec 19.

Reference Type DERIVED
PMID: 24354839 (View on PubMed)

Stockwell MS, Kharbanda EO, Martinez RA, Vargas CY, Vawdrey DK, Camargo S. Effect of a text messaging intervention on influenza vaccination in an urban, low-income pediatric and adolescent population: a randomized controlled trial. JAMA. 2012 Apr 25;307(16):1702-8. doi: 10.1001/jama.2012.502.

Reference Type DERIVED
PMID: 22535855 (View on PubMed)

Other Identifiers

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R40MC17169-01

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

AAAF0137

Identifier Type: -

Identifier Source: org_study_id

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