Literature DB >> 30541361

Use and experiences with external fetal monitoring devices among obstetrical providers.

Alan J Rosenbaum1, Rachel M Smith2, Erinn M Hade2, Ashish Gupta3, Alper Yilmaz3, Michael Cackovic1.   

Abstract

Introduction: Fetal heart rate monitoring presents one of the few available methods for evaluating the fetus prior to birth. However, current devices on the market have significant shortcomings. We sought to describe the use and experiences with external fetal monitoring (EFM) devices among obstetrical providers.Materials and methods: We performed a cross-sectional survey in an academic medical center between April and July 2017 including nurse, midwife, and physician obstetrical providers (n = 217) who were invited to participate in this study regarding their experiences with the external fetal monitoring (EFM) device utilized by their hospital system in the outpatient, inpatient, and labor and delivery (L&D) settings. Associations between provider characteristics, device use, perception of challenging patients, and potential usefulness of an improved system were assessed by Fisher's exact test.
Results: The 137 respondents (63.1%) reported difficulties monitoring obese women (98.5%), multiple gestation pregnancies (90.5%), and early gestational ages (71.5%). Over half (59.5%) of L&D nurses reported interacting with EFM devices for greater than 1-hour during a typical 12-hour shift and fewer than half (42.3%) reported being satisfied with current EFM devices. There were no statistically significant associations between provider age, experience, or time spent utilizing the devices with perception of challenging patient types.Conclusions: In conclusion, obstetrical providers perceive shortcomings of current EFM devices across all levels of provider experience and time utilizing these devices. Nurses reported significant time operating the devices, representing an opportunity to reduce time and costs with an improved device.

Entities:  

Keywords:  Device design; external fetal monitoring; obstetrics; provider perception

Mesh:

Year:  2018        PMID: 30541361      PMCID: PMC6561831          DOI: 10.1080/14767058.2018.1548604

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  24 in total

1.  Intrapartum fetal invasive procedures and perinatal transmission of HIV.

Authors:  V Maiques; A García-Tejedor; A Perales; C Navarro
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  1999-11       Impact factor: 2.435

2.  Comparison of short term variability indexes in cardiotocographic foetal monitoring.

Authors:  M Cesarelli; M Romano; P Bifulco
Journal:  Comput Biol Med       Date:  2009-02-03       Impact factor: 4.589

3.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

4.  Comparing methods to secure external fetal-monitoring devices.

Authors:  Danielle Panelli; Frann Teplick; Mieka McCarthy; Stephen Hebert
Journal:  MCN Am J Matern Child Nurs       Date:  2014 Jan-Feb       Impact factor: 1.412

5.  Environmental design, work, and well being: managing occupational stress through changes in the workplace environment.

Authors:  J H Heerwagen; J G Heubach; J Montgomery; W C Weimer
Journal:  AAOHN J       Date:  1995-09

6.  Professionals' views of fetal-monitoring support the development of devices to provide objective longer-term assessment of fetal wellbeing.

Authors:  Rebecca Brown; Edward D Johnstone; Alexander E P Heazell
Journal:  J Matern Fetal Neonatal Med       Date:  2015-07-27

7.  Electrical properties of tissues involved in the conduction of foetal ECG.

Authors:  T F Oostendorp; A van Oosterom; H W Jongsma
Journal:  Med Biol Eng Comput       Date:  1989-05       Impact factor: 2.602

8.  The hardware and software implications of hospital birth room design: a midwifery perspective.

Authors:  Athena Hammond; Maralyn Foureur; Caroline S E Homer
Journal:  Midwifery       Date:  2013-08-09       Impact factor: 2.372

9.  Computer interpreted fetal monitoring data. Discriminant analysis or perinatal data as a model for prediction of neurologic status at one year of age.

Authors:  L Chik; R J Sokol; M G Rosen; G A Regula; A D Borgstedt
Journal:  J Pediatr       Date:  1977-06       Impact factor: 4.406

10.  Sequential Total Variation Denoising for the Extraction of Fetal ECG from Single-Channel Maternal Abdominal ECG.

Authors:  Kwang Jin Lee; Boreom Lee
Journal:  Sensors (Basel)       Date:  2016-07-01       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.