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Related Concept Videos

Primary Healthcare Services01:30

Primary Healthcare Services

Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
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Development of the Oral Microbiota01:28

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Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:

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Related Experiment Video

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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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Published on: January 12, 2018

Optimising the location of antenatal classes.

Melanie N Tomintz1, Graham P Clarke, Janette E Rigby

  • 1Department of Geoinformation, Carinthia University of Applied Sciences, Europastrasse 4, 9524 Villach, Austria. m.tomintz@cuas.at

Midwifery
|November 14, 2012
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Summary

This study optimized antenatal class locations using microsimulation and location-allocation models. The findings show these methods can reduce travel distances for pregnant women, improving access to essential services.

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Area of Science:

  • Public Health
  • Health Services Research
  • Geographic Information Systems

Background:

  • Access to antenatal classes is crucial for maternal and child health.
  • Optimizing the location of health services can reduce barriers to access.
  • Current methods may not fully account for population distribution and travel minimization.

Purpose of the Study:

  • To integrate microsimulation and location-allocation models to identify optimal antenatal class locations.
  • To minimize travel distances for pregnant women accessing antenatal services.
  • To improve the equitable distribution of antenatal class resources.

Main Methods:

  • Microsimulation modeling was used to estimate birth distribution at a small-area level.
  • Data from the UK Census 2001 and Health Survey for England 2006 were utilized.
  • Location-allocation modeling optimized facility placement based on estimated demand.

Main Results:

  • Combining microsimulation and location-allocation models effectively optimizes antenatal class locations.
  • The integrated approach demonstrated potential to reduce travel inequalities for pregnant women.
  • Scenarios highlighted the advantage of these combined techniques for service planning.

Conclusions:

  • The proposed methodology offers a robust framework for planning health service locations.
  • Optimal placement of antenatal classes can enhance resource utilization and accessibility.
  • These techniques are vital for health-care planners managing scarce resources efficiently.