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Evaluating patient experience in maternity services using a Bayesian belief network model.

Abrar Abdulhakim Ahmed Munassar1, Mecit Can Emre Simsekler1, Ahmed Alaaeldin Saad1

  • 1Department of Management Science & Engineering, Khalifa University of Science & Technology, Abu Dhabi, United Arab Emirates.

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This summary is machine-generated.

Understanding maternity patient experience is key. This study used a Bayesian Belief Network to analyze factors influencing care, revealing interdependencies crucial for improving maternal and infant outcomes.

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Area of Science:

  • Health Services Research
  • Maternal Health
  • Patient Experience Studies

Background:

  • Pregnancy and childbirth present unique challenges and risks, particularly with inadequate care.
  • Maternity patient experience is shaped by various interconnected factors.
  • Improving maternity care quality is essential for positive maternal and infant outcomes.

Purpose of the Study:

  • To investigate factors influencing maternity patient experience.
  • To explore complex interactions among these influencing factors.
  • To identify key drivers of maternity care satisfaction.

Main Methods:

  • Utilized data from the 2021 National Health Services (NHS) maternity patient survey in England.
  • Employed a Bayesian Belief Network (BBN) for modeling factor interactions.
  • Applied structural learning models (Bayesian Search, Peter-Clark, Greedy Thick Thinning) and sensitivity analysis.

Main Results:

  • Identified eight key domains influencing maternity care experiences: start of care, antenatal check-ups, care during pregnancy, labor and birth, staff care, hospital care, infant feeding, and postnatal care.
  • Highlighted the significant interdependencies among these domains.
  • Quantified interactions and identified the most influential factors affecting patient outcomes.

Conclusions:

  • Recognizing the interconnectedness of maternity care domains is vital for enhancing patient experience.
  • Findings provide actionable insights for healthcare managers to develop targeted strategies.
  • This research contributes to improving the quality of maternity care and overall maternal and infant well-being.