Related Experiment Video
Updated: Jul 12, 2025
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
Published on: January 16, 2019
Observation of a quality improvement initiative to contextually adapt and use Robson classification in real time to
Prabha Kumari1,2, Mahtab Singh3, Shailja Sinha2
1Obstetrics and Gyneacology, Nationwide Quality of Care Network, New Delhi, India drprabharanjan@gmail.com.
The rising trend in caesarean section (CS) rate is a global concern and, in this hospital too, it rose from 21.5% in 2010 to 32.6% in 2018. The team followed the point of care quality improvement methodology and conducted a series of Plan-Do-Study-Act cycles to contextually modify and adapt Robson classification into the existing workflow to improve the process of documentation and data collection for CS in the first 6 months (January 2019-June 2019) and then to use these data to develop strategies to reduce CS rate below 30% in the next 18 months.To evaluate the impact of developed strategies, the team plotted the data on Statistical Process Control (XmR) chart. The baseline mean CS rate was 32.6%. The team observed a shift in the CS rate data twice, between April 2020 and December 2020 and between August 2021 and February 2021 with the mean 27.8% and 28.9%, respectively. October 2021 onwards, the team also observed a sustained reduction in the CS rate in women undergoing CS who had one previous CS. The mean CS rate reduced from 94% to 86%.The reductions in the CS rate were not sustained and followed by an increase again. The project highlighted the complexity of the factors related to CS delivery and the multidimensional barriers of sustaining the reduction in the CS rate. This is a well-sustained ongoing QI intervention and the team is further working on identifying the underlying factors to improve the efficacy of the interventions to sustain the reduction in the CS rate.This hospital represents the general population of North India seeking care in public healthcare facilities. Therefore, despite being a single-centre study, the population served and interpretations drawn from this study are generalisable to other hospitals with similar settings.
The rising trend in caesarean section (CS) rate is a global concern and, in this hospital too, it rose from 21.5% in 2010 to 32.6% in 2018. The team followed the point of care quality improvement methodology and conducted a series of Plan-Do-Study-Act cycles to contextually modify and adapt Robson classification into the existing workflow to improve the process of documentation and data collection for CS in the first 6 months (January 2019-June 2019) and then to use these data to develop strategies to reduce CS rate below 30% in the next 18 months.To evaluate the impact of developed strategies, the team plotted the data on Statistical Process Control (XmR) chart. The baseline mean CS rate was 32.6%. The team observed a shift in the CS rate data twice, between April 2020 and December 2020 and between August 2021 and February 2021 with the mean 27.8% and 28.9%, respectively. October 2021 onwards, the team also observed a sustained reduction in the CS rate in women undergoing CS who had one previous CS. The mean CS rate reduced from 94% to 86%.The reductions in the CS rate were not sustained and followed by an increase again. The project highlighted the complexity of the factors related to CS delivery and the multidimensional barriers of sustaining the reduction in the CS rate. This is a well-sustained ongoing QI intervention and the team is further working on identifying the underlying factors to improve the efficacy of the interventions to sustain the reduction in the CS rate.This hospital represents the general population of North India seeking care in public healthcare facilities. Therefore, despite being a single-centre study, the population served and interpretations drawn from this study are generalisable to other hospitals with similar settings.
More Related Videos
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
14:28Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care
Published on: May 10, 2024
Related Concept Videos
01:30Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
01:27Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
01:15Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
01:15Introduction to Statistical Process Control
01:14SBAR II: Application of SBAR
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
01:26Methods Of Healthcare Delivery System
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...