Innovative Tools and Strategies | Targets and Metrics | Strengthening Quality of Care | Focus: Small and Sick Newborns Room: Protea Pre-Formed Panel
May 11, 2023 13:55 - 14:55(Africa/Johannesburg)
20230511T1355 20230511T1455 Africa/Johannesburg Measurement Issues and Implications for Improvements in Stillbirth Rates from Retrospective Surveys in Low-Income Settings

Stillbirth data are routinely collected through retrospective household surveys, e.g., the Demographic and Health Surveys, in low-income settings. However, such data are subject to a number of known biases, including those due to misclassification of neonatal deaths and retrospective self-reporting. Previous research has shown that the extent and direction of misclassification vary across contexts. Women of reproductive age, the respondents of retrospective surveys, do not always have accurate information on their babies' birth outcomes as they are not consistently informed by health care providers during and after delivery. Moreover, little is known about the under-reporting associated with retrospective surveys in stillbirths. 

This pre-formed panel offers new insights into these evidence gaps through three studies from Guinea Bissau and Tanzania using mixed methods. Results from these studies could not only inform the interpretation and adjustment of retrospective survey and model-based stillbirth estimates for better progress tracking, but also identify suboptimal quality of care issues in delivery and postpartum care to further improve maternal and newborn outcomes. The pre-formed panel is co-organized by Johns Hopkins University, the Bandim Health Project, and University of Southern Denmark.

Room: Protea International Maternal Newborn Health Conference 2023 information@imnhc.org
42 attendees saved this session

Stillbirth data are routinely collected through retrospective household surveys, e.g., the Demographic and Health Surveys, in low-income settings. However, such data are subject to a number of known biases, including those due to misclassification of neonatal deaths and retrospective self-reporting. Previous research has shown that the extent and direction of misclassification vary across contexts. Women of reproductive age, the respondents of retrospective surveys, do not always have accurate information on their babies' birth outcomes as they are not consistently informed by health care providers during and after delivery. Moreover, little is known about the under-reporting associated with retrospective surveys in stillbirths. 

This pre-formed panel offers new insights into these evidence gaps through three studies from Guinea Bissau and Tanzania using mixed methods. Results from these studies could not only inform the interpretation and adjustment of retrospective survey and model-based stillbirth estimates for better progress tracking, but also identify suboptimal quality of care issues in delivery and postpartum care to further improve maternal and newborn outcomes. The pre-formed panel is co-organized by Johns Hopkins University, the Bandim Health Project, and University of Southern Denmark.

Classification of Perinatal Deaths as Stillbirths or Early Neonatal Deaths Differs between Retrospective Surveys and Prospective Surveillance: An Assessment and Contribution of the Lack of Provider-Mother Communications from Guinea-Bissau
Panel 01:55 PM - 02:55 PM (Africa/Johannesburg) 2023/05/11 11:55:00 UTC - 2023/05/11 12:55:00 UTC
Small and Sick Newborns (SSNB)
Targets and Metrics
Strengthening Quality of Care
Presenters Sabine Margarete Damerow
PhD Student, University Of Southern Denmark
Diana Yeung
Research Associate, Johns Hopkins University
Co-authors
jM
Justiniano Martins
Researcher, Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau
IP
Ishaan Pathak
Research Assistant, Johns Hopkins University
Ane Baerent Fisker
Professor, Bandim Health Project, Guinea-Bissau; University Of Southern Denmark;
Identification and Assessment of Bidirectional Stillbirth and Neonatal Death Misclassifications in Tanzania: Implications for Survey-Based Mortality Estimates
Panel 01:55 PM - 02:55 PM (Africa/Johannesburg) 2023/05/11 11:55:00 UTC - 2023/05/11 12:55:00 UTC
Small and Sick Newborns (SSNB)
Targets and Metrics
Innovative Tools and Strategies
Presenters Alexandria Mickler
Public Health Advisor / Research Data Analyst, USAID, Johns Hopkins University
Co-authors
HK
Henry Kalter
Associate, JHSPH
AK
Alain Koffi
Assistant Scientist, JHSPH
Incomplete Recall of Stillbirths: Assuming Full Information on Birth Outcomes Underestimates Stillbirth Rates Compared with Prospective Data
Panel 01:55 PM - 02:55 PM (Africa/Johannesburg) 2023/05/11 11:55:00 UTC - 2023/05/11 12:55:00 UTC
Small and Sick Newborns (SSNB)
Targets and Metrics
Innovative Tools and Strategies
Presenters Andreas Jensen
PhD, University Of Southern Denmark
Co-authors Li Liu
Associate Professor, JHSPH
ST
Sanne Marie Thysen
Postdoc, Center For Clinical Research And Prevention, Bispebjerg And Frederiksberg Hospital
OF
Oides Furtado
Field Supervisor, Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau
CC
Claudino Correia
Data Manager, Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau
JH
Jacob Von Bornemann Hjelmborg
Professor, Department Of Epidemiology, Biostatistics, And Biodemography, Department Of Public Health, University Of Southern Denmark
Ane Baerent Fisker
Professor, Bandim Health Project, Guinea-Bissau; University Of Southern Denmark;
PhD
,
University of Southern Denmark
Public Health Advisor / Research Data Analyst
,
USAID, Johns Hopkins University
PhD Student
,
University of Southern Denmark
Associate Professor
,
JHSPH
Research Associate
,
Johns Hopkins University
Ms. Lucia Hug
Statistics Specialist
,
United Nations Children's Fund (UNICEF)
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Classification of Perinatal Deaths as Stillbirt...
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Identification and Assessment of Bidirectional ...
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Incomplete Recall of Stillbirths: Assuming Full...
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