Viewing Study NCT01775150


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Study NCT ID: NCT01775150
Status: UNKNOWN
Last Update Posted: 2013-01-24
First Post: 2013-01-22
Is Gene Therapy: True
Has Adverse Events: False

Brief Title: Saving Mother and Baby With Text Messaging
Sponsor: Ottawa Hospital Research Institute
Organization:

Study Overview

Official Title: Using Mobile Phone Text Messaging to Reduce Maternal and Infant Deaths in Remote Rural Areas in China
Status: UNKNOWN
Status Verified Date: 2013-01
Last Known Status: ACTIVE_NOT_RECRUITING
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: We plan to integrate WHO educational material using mobile phone text messaging, target on pregnant women in remote rural areas in China. We hypothsized that text messaging can have major impact on reducing maternal and infant deaths in rural China because text messaging is accessible, acceptable, and affordable.
Detailed Description: 1. Sampling method:

Random sampling method will be used. Counties in Huaihua area of Chinese province of Hunan will be randomly allocated to intervention and non-intervention groups.
2. The intervention:

Mobile phone text messages containing maternal and newborn health care education material will be sent to mothers-to-be at the first, second and third trimester, and again postpartum period.
3. Statistical analysis:

We will first compare the baseline characteristics (including the average income, adult educational level, and maternal and perinatal mortality rates in the past two years) between the 2 arms of experiment. For costs data, total costs, costs per participating woman, and costs per maternal/infant death avoided will be reported. For primary outcomes, we will determine and report rate ratios, risk differences, and numbers needed to treat (NNT) from the experimental arm (i.e., mobile phone text messaging), using the usual care arm (no text messaging) as the reference. Relative risks and 95% confidence intervals will be expressed as the effect measures. We will estimate the adjusted relative risks and 95% confidence intervals by regression analysis. Mixed models taking consideration of multi-level measures (e.g., mortality and morbidity measured at individual level and intervention measured at village level) will be used in the regression analysis (Donner and Klar, 2000).

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: