The study, “Validation of a new simplified score for assessing gestational age (SGAS) of newborns” was a cross sectional observational study was conducted at the 3 referral hospitals in central India, viz. Daga memorial women’s hospital, Nagpur; General hospital, Bhandara & General hospital, Wardha was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development [NICHD’s] Global Network for Women’s and Children’s Health Research.
This study was designed to test the validity, accuracy of SGAS to assess the GA of newborn also it gives the data on proportion of LBWs as well as preterm babies, perspectives of birth attendants i.e. ANMs about the SGAS scale.
- Two cross sectional studies were conducted to determine the characteristics most predictive of GA from 3 scales – New Ballard Score, Dubowitz and Meherban Singh with the reference standard i.e. GA assessed by LMP using Naegeles 6 rule and validated by gestational age assessed by at least one ultrasound (GA-USG), in newborns delivered at the hospital
- This SGAs (3 physical and 1 neurological attribute) was validated against New Ballard Score and inter-observer agreement (pediatric residents) was assessed for 4 categories of GA <32, ≥32-<35, ≥35-<37, and, > 37 weeks
To validate a pictorial, tablet based “Simplified Gestational Age assessment Score” (SGAS) that categorizes the newborns in 4 gestational age categories for –
- Accuracy when compared to the BOE, in newborns within 24 hrs of birth
- Ease of use by community birth attendants/auxillary nurse midwives (ANMs)
- Inter-observer agreement between ANM
- Each labor room at facility was allocated two teams, each consisting of 1 ANM-I, 1 ANM-II & 1 Data Collector so as to work in morning and evening shift to cover all the deliveries within 24 hrs of birth.
- Data Quality Assurance process: Master Trainers, senior pediatricians, neonatologists, obstetrician provided training to the study staff and overall study oversight and quality assurance.
- All Data was collected and transmitted ‘real time’.
Data management
SGAS Android based GA assessment
To make the SGAS tool more user friendly, images of diff. GA categories were used along with description.
- + SGAS Home
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The study, “Validation of a new simplified score for assessing gestational age (SGAS) of newborns” was a cross sectional observational study was conducted at the 3 referral hospitals in central India, viz. Daga memorial women’s hospital, Nagpur; General hospital, Bhandara & General hospital, Wardha was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development [NICHD’s] Global Network for Women’s and Children’s Health Research.
This study was designed to test the validity, accuracy of SGAS to assess the GA of newborn also it gives the data on proportion of LBWs as well as preterm babies, perspectives of birth attendants i.e. ANMs about the SGAS scale.
- + Background
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- Two cross sectional studies were conducted to determine the characteristics most predictive of GA from 3 scales – New Ballard Score, Dubowitz and Meherban Singh with the reference standard i.e. GA assessed by LMP using Naegeles 6 rule and validated by gestational age assessed by at least one ultrasound (GA-USG), in newborns delivered at the hospital
- This SGAs (3 physical and 1 neurological attribute) was validated against New Ballard Score and inter-observer agreement (pediatric residents) was assessed for 4 categories of GA <32, ≥32-<35, ≥35-<37, and, > 37 weeks
- + Team
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- + Objectives
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To validate a pictorial, tablet based “Simplified Gestational Age assessment Score” (SGAS) that categorizes the newborns in 4 gestational age categories for –
- Accuracy when compared to the BOE, in newborns within 24 hrs of birth
- Ease of use by community birth attendants/auxillary nurse midwives (ANMs)
- Inter-observer agreement between ANM
- + Implementation
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- Each labor room at facility was allocated two teams, each consisting of 1 ANM-I, 1 ANM-II & 1 Data Collector so as to work in morning and evening shift to cover all the deliveries within 24 hrs of birth.
- Data Quality Assurance process: Master Trainers, senior pediatricians, neonatologists, obstetrician provided training to the study staff and overall study oversight and quality assurance.
- All Data was collected and transmitted ‘real time’.
Data management
Daily monitoring and generation of edit reports for timely corrective actions. - + App Development
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SGAS Android based GA assessment
This app developed by the team at Research Triangle Institute (RTI) was installed on Sim enabled Android Tablets followed by testing for reliability and usability by field staff.To make the SGAS tool more user friendly, images of diff. GA categories were used along with description.
- + Gallery
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- + Timeline
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