Clinical governance in the management of induction of labour

Salva Siddiqui, Nadeem Faiyaz Zuberi, Rahat Najam Qureshi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Objective: To determine whether dissemination of explicit guidelines, developed in consensus with stakeholders, for the processes of induction of labour (IOL), results in reduction of variability in clinical practice. Design: A prospective behaviour modification interventional study. Place and duration of study: The study was conducted in the department of Obstetrics and Gynaecology at the Aga Khan University, Karachi, between January 1 and August 31, 2002. Subjects and methods: In a total of 142 conveniently sampled women, undergoing IOL, pre-identified quality assessment indicators were measured. After collection of data from initial 71-women (pre-intervention group) mutually agreed guidelines for clinical practice were disseminated, over a period of time, among consultants, residents and nurses. These indicators were again measured in subsequent 71 women (post-intervention group) to evaluate magnitude of residual non-conformities in these processes. Results: Following behaviour modification interventions, nonconformities in consultants and residents-dependent processes like timely review of patients by consultants (72 vs 1.4%, p value <0.0001), documentation of indication for IOL (66.2 vs 16.9%, p value <0.0001), method of induction for IOL (56.3 vs 28.2%, p value 0.0001), and calculation of Bishop score before IOL (38.0 vs 4.2%, p value <0.0001) were significantly reduced. Conclusion: Dissemination of explicit guidelines developed in consensus with stakeholders significantly reduces variability in clinical practice. Our model can be used for improving quality of care in other areas of obstetric health care.

Original languageEnglish
Pages (from-to)73-75
Number of pages3
JournalJournal of the College of Physicians and Surgeons--Pakistan : JCPSP
Issue number2
Publication statusPublished - 1 Feb 2003


  • Induced
  • Labour
  • Pregnancy
  • Quality of health care


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