Literature DB >> 26518007

Implications for Improving Fetal Death Vital Statistics: Connecting Reporters' Self-Identified Practices and Barriers to Third Trimester Fetal Death Data Quality in New York City.

Erica Lee1, Amita Toprani2,3, Elizabeth Begier2, Richard Genovese2, Ann Madsen2, Melissa Gambatese2.   

Abstract

OBJECTIVES: Perinatal mortality prevention strategies that target fetal deaths often utilize vital records data sets shown to contain critical quality deficiencies. To understand the causes of deficient data, we linked survey responses of fetal death reporters with facility fetal death data quality indicators.
METHODS: In 2011, we surveyed the person most responsible for fetal death reporting at New York City healthcare facilities on their attitudes, barriers, and practices regarding reporting. We compared responses by 2 facility data quality indicators (data completeness and ill-defined cause of fetal death) for third trimester fetal death registrations using Chi squared tests.
RESULTS: Thirty-nine of 50 facilities completed full questionnaires (78 % response rate); responding facilities reported 84 % (n = 11,891) of all 2011 fetal deaths, including 329 third trimester fetal deaths. Facilities citing ≥1 reporting barrier were approximately five times more likely to have incomplete third trimester registrations than facilities citing no substantial barriers (37.5 vs 7.9 %; RR 4.7; 95 % CI [1.6-14.2]). Reported barriers included onerous reporting requirements (n = 10; 26 %) and competing physician priorities (n = 11; 28 %). Facilities citing difficulty involving physicians in reporting were more likely to report fetal deaths with nonspecific cause-of-death information (70.9 vs 56.6 %; RR 1.3; 95 % CI [1.1-1.5]).
CONCLUSIONS: Self-reported challenges correlate with completeness and accuracy of reported fetal death data, suggesting that such barriers are likely contributing to low quality data. We identified several improvement opportunities, including in-depth training and reducing the information collected, especially for early fetal deaths (<20 weeks' gestation), the majority of events reported.

Entities:  

Keywords:  Data collection; Fetal death; Perinatal mortality; Stillbirth; Vital statistics

Mesh:

Year:  2016        PMID: 26518007     DOI: 10.1007/s10995-015-1833-8

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  17 in total

1.  The definition of life: a survey of obstetricians and neonatologists in New York City hospitals regarding extremely premature births.

Authors:  Sharon M Ramsay; Regina M Santella
Journal:  Matern Child Health J       Date:  2011-05

2.  Validity of maternal and perinatal risk factors reported on fetal death certificates.

Authors:  Mona T Lydon-Rochelle; Vicky Cárdenas; Jennifer L Nelson; Kay M Tomashek; Beth A Mueller; Thomas R Easterling
Journal:  Am J Public Health       Date:  2005-09-29       Impact factor: 9.308

3.  Perinatal epidemiologic research with vital statistics data: validity is the essential quality.

Authors:  Cande V Ananth
Journal:  Am J Obstet Gynecol       Date:  2005-07       Impact factor: 8.661

4.  Stillbirths: missing from the family and from family health.

Authors:  Gary L Darmstadt
Journal:  Lancet       Date:  2011-04-13       Impact factor: 79.321

Review 5.  Major risk factors for stillbirth in high-income countries: a systematic review and meta-analysis.

Authors:  Vicki Flenady; Laura Koopmans; Philippa Middleton; J Frederik Frøen; Gordon C Smith; Kristen Gibbons; Michael Coory; Adrienne Gordon; David Ellwood; Harold David McIntyre; Ruth Fretts; Majid Ezzati
Journal:  Lancet       Date:  2011-04-16       Impact factor: 79.321

6.  Stillbirths: Where? When? Why? How to make the data count?

Authors:  Joy E Lawn; Hannah Blencowe; Robert Pattinson; Simon Cousens; Rajesh Kumar; Ibinabo Ibiebele; Jason Gardosi; Louise T Day; Cynthia Stanton
Journal:  Lancet       Date:  2011-04-13       Impact factor: 79.321

7.  Quality of information registered on fetal deaths certificates in São Paulo, Southeastern Brazil.

Authors:  Marcia Furquim de Almeida; Gizelton Pereira Alencar; Daniela Schoeps; Elaine Garcia Minuci; Zilda Pereira da Silva; Luis Patrício Ortiz; Hillegonda Maria Dutilh Novaes; Airlane Pereira Alencar; Priscila Ribeiro Raspantini; Patrícia Carla Dos Santos
Journal:  Rev Saude Publica       Date:  2011-08-12       Impact factor: 2.106

8.  A case study of the impact of inaccurate cause-of-death reporting on health disparity tracking: New York City premature cardiovascular mortality.

Authors:  Lauren E Johns; Ann M Madsen; Gil Maduro; Regina Zimmerman; Kevin Konty; Elizabeth Begier
Journal:  Am J Public Health       Date:  2012-09-20       Impact factor: 9.308

9.  A framework for strategic investments in research to reduce the global burden of preterm birth.

Authors:  Michael G Gravett; Craig E Rubens
Journal:  Am J Obstet Gynecol       Date:  2012-09-10       Impact factor: 8.661

10.  Understanding perinatal death: a systematic analysis of New York City fetal and neonatal death vital record data and implications for improvement, 2007-2011.

Authors:  Erica J Lee; Melissa Gambatese; Elizabeth Begier; Antonio Soto; Tara Das; Ann Madsen
Journal:  Matern Child Health J       Date:  2014-10
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  3 in total

1.  Evaluation of the Completeness, Data Quality, and Timeliness of Fetal Mortality Surveillance in Wyoming, 2006-2013.

Authors:  Alexia V Harrist; Ashley Busacker; Charlan D Kroelinger
Journal:  Matern Child Health J       Date:  2017-09

2.  Fetal death certificate data quality: a tale of two U.S. counties.

Authors:  Lauren Christiansen-Lindquist; Robert M Silver; Corette B Parker; Donald J Dudley; Matthew A Koch; Uma M Reddy; George R Saade; Robert L Goldenberg; Carol J R Hogue
Journal:  Ann Epidemiol       Date:  2017-07-20       Impact factor: 3.797

3.  Design and Methodology of the Study of Associated Risks of Stillbirth (SOARS) in Utah.

Authors:  Carla L DeSisto; Nicole Stone; Barbara Algarin; Laurie Baksh; Ada Dieke; Denise V D'Angelo; Leslie Harrison; Lee Warner; Holly B Shulman
Journal:  Public Health Rep       Date:  2021-03-05       Impact factor: 2.792

  3 in total

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