Point-of-Delivery Prenatal Test Results Through mHealth to Improve Birth Outcome (mHealth)
October 13, 2017 updated by: Echezona Ezeanolue, University of Nevada, Las Vegas
The investigators propose to adopt sustainable community networks (in this case churches) to implement an integrated community-based screening that incorporates mobile health technology (mHealth) to make prenatal test results available at the point-of-delivery to guide medical management.
Study Overview
Status
Unknown
Conditions
Intervention / Treatment
Detailed Description
The investigators will develop and test the feasibility, acceptability, and usability of a mobile health platform that captures results for HIV, Hepatitis B virus (HBV) and sickle cell genotype obtained from participants during the Healthy Beginning Initiative (HBI) program; store data in a secure, web-based database; encrypt data on a "smart card" which is given to participants, and make these data available at the point-of-delivery using a cell-phone application to read the "smart card".
Data on the web-based database can also be accessed directly using the cell phone application.
Evidence exists that when clinician have maternal records available at the point of delivery, they are more likely to initiate antiretroviral prophylaxis for HIV-exposed infants, administer the first dose of hepatitis B vaccine with 24 hours for infants born to women who have positive hepatitis B surface antigen and screen infants born to mothers with sickle cell trait to allow early identification and initiation of penicillin prophylaxis for infants who have sickle cell disease.
Study Type
Interventional
Enrollment (Anticipated)
300
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Benue
-
Makurdi, Benue, Nigeria
- Recruiting
- Catholic Caritas Foundation
-
Contact:
- John Olawepo, MD, MSc
- Phone Number: +234-805 564 8788
- Email: jolawepo@ccfng.org
-
Principal Investigator:
- Echezona Ezeanolue, MD, MPH
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
Female
Description
Inclusion Criteria:
- Pregnant women; 18 years or older enrolled in the Healthy Beginning Initiative
- One of the three conditions - HIV, Hepatitis B, and Sickle cell trait/disease
Exclusion Criteria:
- Those who do not accept to have their information uploaded on the secure database
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention
mHealth intervention
|
HBI participants who consent will be enrolled in this study and will have data collected from their community screening stored in a secure, web-based database.
The stored data will be encrypted into a Quick Response code embedded in a "smart card."
A unique identification number and participant's blood group type will be on the outside of the card.
There will be no names or any other identifiers.
Each participating center will identify a dedicated delivery room staff that will be trained to read the contents of the card using the cell phone application as well as enter new data in the participant's profile.
When a participant presents at delivery without the card, information can still be obtained from the secure, web-based database and confirmed using the participant's name, date of birth and cell phone number.
This information is provided to the clinician to guide management of the infant.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Reach
Time Frame: 6 months
|
Reach will be calculated as: the proportion of enrolled pregnant women relative to eligible pregnant women in the study catchment area.
|
6 months
|
|
Effectiveness
Time Frame: 6 months
|
Effectiveness will be determined by assessing the impact of the mHealth platform on key outcomes such as screening for HIV, HBV, and sickle cell genotype, and health care utilizations for follow up visits.
This will be measured by calculating the percentage of pregnant women that used the "smart card" at the point-of-delivery.
|
6 months
|
|
Adoption
Time Frame: 6 months
|
Adoption rates will be calculated using the proportion of interested health care settings to the total number eligible for participation.
|
6 months
|
|
Acceptability
Time Frame: 6 months
|
The proportion of enrolled pregnant women who accept to use the smart card for their health care services
|
6 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Ezeanolue EE, Obiefune MC, Yang W, Obaro SK, Ezeanolue CO, Ogedegbe GG. Comparative effectiveness of congregation- versus clinic-based approach to prevention of mother-to-child HIV transmission: study protocol for a cluster randomized controlled trial. Implement Sci. 2013 Jun 8;8:62. doi: 10.1186/1748-5908-8-62.
- Gbadamosi SO, Eze C, Olawepo JO, Iwelunmor J, Sarpong DF, Ogidi AG, Patel D, Oko JO, Onoka C, Ezeanolue EE. A Patient-Held Smartcard With a Unique Identifier and an mHealth Platform to Improve the Availability of Prenatal Test Results in Rural Nigeria: Demonstration Study. J Med Internet Res. 2018 Jan 15;20(1):e18. doi: 10.2196/jmir.8716.
- Ezeanolue EE, Gbadamosi SO, Olawepo JO, Iwelunmor J, Sarpong D, Eze C, Ogidi A, Patel D, Onoka C. An mHealth Framework to Improve Birth Outcomes in Benue State, Nigeria: A Study Protocol. JMIR Res Protoc. 2017 May 26;6(5):e100. doi: 10.2196/resprot.7743.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start
September 1, 2016
Primary Completion (Anticipated)
January 1, 2018
Study Completion (Anticipated)
January 1, 2018
Study Registration Dates
First Submitted
January 6, 2017
First Submitted That Met QC Criteria
January 17, 2017
First Posted (Estimate)
January 23, 2017
Study Record Updates
Last Update Posted (Actual)
October 17, 2017
Last Update Submitted That Met QC Criteria
October 13, 2017
Last Verified
October 1, 2017
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Digestive System Diseases
- Virus Diseases
- Infections
- Blood-Borne Infections
- Communicable Diseases
- Hematologic Diseases
- Liver Diseases
- Genetic Diseases, Inborn
- Hepatitis, Viral, Human
- Hepadnaviridae Infections
- DNA Virus Infections
- Anemia
- Anemia, Hemolytic, Congenital
- Anemia, Hemolytic
- Hemoglobinopathies
- Hepatitis
- Hepatitis B
- Anemia, Sickle Cell
Other Study ID Numbers
- 820085-3
- R21TW010252-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.