Obstetric anaesthesia

Neuraxial labor analgesia outcomes in a referral center in Vietnam: a quality improvement program incorporating Statistical Process Control methodology (2022–2024)

Int J Obstet AnesthPublished Prospective quality improvement study

Authors' conclusion

A structured quality improvement program integrating monthly audit-feedback cycles, Statistical Process Control monitoring, and Pareto-driven root-cause analysis was associated with sustained improvements in labor epidural analgesia quality and maternal satisfaction.

Study context

Population
Women receiving labor epidural analgesia who delivered vaginally at a tertiary hospital in Hanoi, Vietnam, December 2022 to December 20242,458 eligible
Participants
2,062 women
Exposure
Baseline vs Year 2 of a structured quality improvement program
Outcome
Primary quality driver scores
Methodological detailssingle-centre, Statistical Process Control methodology, monthly audit-feedback cycles, Cases with a score < 4 triggered departmental anesthesiology review and targeted corrective interventions
  • Single-centre
  • Statistical Process Control methodology
  • Monthly audit-feedback cycles
  • Cases with a score < 4 triggered departmental anesthesiology review and targeted corrective interventions

Main finding

As reported in the abstract

All three primary quality driver scores improved significantly across the three periods
P < 0.0001
Mean overall quality driver score at baseline
4.31 to 4.38
Mean overall quality driver score in Year 2
4.99
Proportion of low-quality driver events (score < 4) at baseline
3.45%
Proportion of low-quality driver events (score < 4) by Year 2
< 0.4%

Observational data: associations, not effects.

Further findings

Process stability (SPC p-charts)

Sustained process stabilization

Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.

Original publication

Neuraxial labor analgesia outcomes in a referral center in Vietnam: a quality improvement program incorporating Statistical Process Control methodology (2022–2024). Int J Obstet Anesth. Published 1 July 2026. doi:10.1016/j.ijoa.2026.105233

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