Comparing tariff and medical assistant assigned causes of death from verbal autopsy interviews in Matlab, Bangladesh: implications for a health and demographic surveillance system.
Riley H HazardNurul AlamHafizur Rahman ChowdhuryTim AdairSaidul AlamPeter Kim StreatfieldIan Douglas RileyAlan D LopezPublished in: Population health metrics (2018)
The CSMFs for Tariff and MA showed very close agreement across all age categories but some differences were observed for neonate preterm delivery and meningitis/sepsis. Given the known advantages of automated methods over physician certified verbal autopsy, the SmartVA software, incorporating the shortened VAI questionnaire and Tariff 2.0, could serve as a cost-effective alternative to Matlab MA to routinely collect and analyze verbal autopsy data in a HDSS to generate essential population level COD data for planning.
Keyphrases
- risk assessment
- working memory
- public health
- healthcare
- electronic health record
- big data
- primary care
- emergency department
- data analysis
- acute kidney injury
- machine learning
- mental health
- high throughput
- deep learning
- cerebrospinal fluid
- health information
- low birth weight
- gestational age
- psychometric properties
- climate change