scholarly journals Gestational Age Assessment in the Ghana Randomized Air Pollution and Health Study (GRAPHS): Ultrasound Capacity Building, Fetal Biometry Protocol Development, and Ongoing Quality Control

2014 ◽  
Vol 3 (4) ◽  
pp. e77 ◽  
Author(s):  
Ellen A Boamah ◽  
KP Asante ◽  
KA Ae-Ngibise ◽  
Patrick L Kinney ◽  
Darby W Jack ◽  
...  
Keyword(s):  
Air Pollution ◽  
Quality Control ◽  
Capacity Building ◽  
Gestational Age ◽  
Health Study ◽  
Age Assessment ◽  
Fetal Biometry ◽  
Protocol Development

scholarly journals MCR: Open-Source Software to Automate Compilation of Health Study Report-Back

2021 ◽  
Vol 18 (11) ◽  
pp. 6104
Author(s):  
Erin Polka ◽  
Ellen Childs ◽  
Alexa Friedman ◽  
Kathryn S. Tomsho ◽  
Birgit Claus Henn ◽  
...  
Keyword(s):  
Quality Control ◽  
Open Source ◽  
Open Source Software ◽  
Research Team ◽  
Self Determination ◽  
Health Study ◽  
Equitable Access ◽  
Team Members ◽  
Study Participants ◽  
The Impact

Sharing individualized results with health study participants, a practice we and others refer to as “report-back,” ensures participant access to exposure and health information and may promote health equity. However, the practice of report-back and the content shared is often limited by the time-intensive process of personalizing reports. Software tools that automate creation of individualized reports have been built for specific studies, but are largely not open-source or broadly modifiable. We created an open-source and generalizable tool, called the Macro for the Compilation of Report-backs (MCR), to automate compilation of health study reports. We piloted MCR in two environmental exposure studies in Massachusetts, USA, and interviewed research team members (n = 7) about the impact of MCR on the report-back process. Researchers using MCR created more detailed reports than during manual report-back, including more individualized numerical, text, and graphical results. Using MCR, researchers saved time producing draft and final reports. Researchers also reported feeling more creative in the design process and more confident in report-back quality control. While MCR does not expedite the entire report-back process, we hope that this open-source tool reduces the barriers to personalizing health study reports, promotes more equitable access to individualized data, and advances self-determination among participants.

scholarly journals Estimation of gestational age using foetal kidney length during second and third trimester in south Indian population

Biomedicine ◽  
2021 ◽  
Vol 40 (4) ◽  
pp. 436-441
Author(s):  
Kalpana Ramachandran ◽  
Arunthathy Gnaneshwar ◽  
Robert Dinesh Kumar ◽  
Parvathavarthine CR ◽  
Sri Santhana Krishnan V
Keyword(s):  
Gestational Age ◽  
Tertiary Care ◽  
Abdominal Circumference ◽  
South Indian Population ◽  
Strong Positive Correlation ◽  
Third Trimester ◽  
Age Assessment ◽  
South Indian ◽  
Kidney Length ◽  
Foetal Kidney

Introduction and Aim: Gestational age assessment in women with indeterminate last menstrual period has always remained an enigma. Though multiple parameters have been found useful in providing an indirect age assessment, various studies have now shown that the ultrasonographic measurement of foetal kidney length during the second and third trimester of pregnancy is a viable alternative in foetal age assessment. Methods: This prospective study was conducted among the antenatal women with singleton uncomplicated pregnancy during 18 to 40 weeks of gestation attending the outpatient department for routine ultrasound foetal biometry in a tertiary care referral institution in South India, during January 2019 to June 2019. A total of hundred and thirty-five antenatal mothers were included in this study. Data entry was done in Microsoft Excel and data analysis was done using Statistical Package for Social Sciences (SPSS). Results: There was a strong positive correlation between GA and MKL. Regression model (Model 1) for Mean kidney length showed significant correlation and regression models (Model 2) for MKL and routine foetal biometric parameters like biparietal diameter, femur length and abdominal circumference were found to be significantly correlated. Conclusion: Mean foetal kidney length can alone predict gestational age and by combining it with the other biometric indices to give a better estimation of gestational age.

Sonographic Correlation Between Distal Femoral Epiphysis Ossification Centre And Gestational Age From 28 Weeks To 40 Weeks In Population Of Faisalabad City

2020 ◽  
pp. 12-19
Author(s):  
OJS Admin
Keyword(s):  
Gestational Age ◽  
Age Estimation ◽  
Abdominal Circumference ◽  
Perinatal Morbidity ◽  
Ossification Centre ◽  
Age Assessment ◽  
Crown Rump Length ◽  
Biparietal Diameter ◽  
Distal Femoral Epiphysis ◽  
Ossification Centers

Gestational age assessment is one of the most important tool used for estimation of perinatal morbidity and mortality. Age estimation of fetus can be recorded with the help of various parameters such as biparietal diameter, abdominal circumference, head circumference, length of the kidneys, crown rump length, length of the long bones and ossification centers.

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