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Related Concept Videos

Numerical Calculations01:24

Numerical Calculations

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In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
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Rules for Significant Figures01:44

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In any measurement, the precision of the measuring tool is an essential factor. An ordinary ruler, for example, can measure length to the closest millimeter; a caliper, on the other hand, can measure length to the nearest 0.01 mm. As a result, the caliper is a more precise measurement tool because it can measure extremely minute changes in length. The measurements will be more accurate if the measuring tool is more precise.
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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
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Let complete numbers speak for themselves.

Renée Fiorentino1, Karen Jefferson2, Ronnie Lichtman3

  • 1SUNY Downstate Health Sciences University (alumna), Brooklyn, USA.

Birth (Berkeley, Calif.)
|October 5, 2021
PubMed
Summary

Creating a comprehensive home birth data set proved challenging. A national midwifery data collective is proposed to unify midwife-attended birth records for improved maternal and infant health insights.

Keywords:
home birthmidwifemidwiferyoutcomes

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Area of Science:

  • Maternal health
  • Public health data
  • Midwifery research

Background:

  • Retrospective data collection for home births presents significant hurdles.
  • Existing datasets may not fully capture the scope of midwife-attended births.
  • Variability in data recording across settings complicates analysis.

Purpose of the Study:

  • To highlight the difficulties in compiling a retrospective home birth outcome dataset for New York State.
  • To advocate for the establishment of a national midwifery data collective.
  • To improve data infrastructure for midwife-attended births.

Main Methods:

  • The study involved an attempt at retrospective data set completion for home births in New York State.
  • Qualitative assessment of challenges encountered during data collection.
  • Development of a proposal for a centralized data system.

Main Results:

  • Significant challenges were identified in accessing and standardizing home birth outcome data.
  • The limitations of current data collection methods were underscored.
  • A strong case was made for a unified data approach.

Conclusions:

  • A national midwifery data collective is essential for comprehensive understanding of midwife-attended birth outcomes.
  • Standardized data collection is crucial for advancing maternal and child health research.
  • Policy and infrastructure changes are needed to support robust birth data.