Clinical Trial Details
— Status: Active, not recruiting
Administrative data
| NCT number |
NCT06090695 |
| Other study ID # |
2020P002530 |
| Secondary ID |
|
| Status |
Active, not recruiting |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
May 1, 2021 |
| Est. completion date |
December 31, 2023 |
Study information
| Verified date |
October 2023 |
| Source |
Massachusetts General Hospital |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
Recent data indicate that 1 in 5 women worldwide undergo Caesarean sections (CS) and in most
regions CS rates are increasing. Sub-Saharan Africa has the lowest CS rate at 3.5%, compared
to a global average of 19.1%. However, there is emerging evidence for a double burden in
low-income countries, with low national CS rates masking both overuse and underuse. While
national CS rates may remain stagnant, disaggregation by wealth, location, and education
level reveal disparities in rate.
The purpose of this study is to understand the Caesarean delivery in Uganda by examining CS
rates, factors associated with CS and maternal and neonatal outcomes across institutions
using the Robson classification.
Description:
Caesarean sections (CS) are an essential component of obstetric care and the most common
surgical procedures performed in women. At the population level, the ideal CS rate is
challenging to determine, however, in the past the World Health Organization has recommended
a national population level rate of 10-15% and more recently updated its recommendation to
state that no benefit is seen in maternal and neonatal mortality above this population level
rate.
Recent data indicate that 1 in 5 women worldwide undergo CS and in most regions worldwide CS
rates are increasing. However, stark disparities exist globally with national rates ranging
from as low as 1.4% in Niger to as high as 56.4% in the Dominican Republic. At the regional
level, sub-Saharan Africa (SSA) has the lowest CS rate at 3.5% (compared to a global average
of 19.1%) and over the last two decades demonstrated the least increases in this rate.
There is, however, emerging evidence for a double burden in low income countries, with low
national CS rates masking both overuse and underuse. While national CS rates may remain
stagnant, disaggregation by wealth, location, and education level reveal disparities in rate.
In Uganda, for example, national CS rates remain low with a national rate of 6% in 2016, up
from 3% in 2006, indicating that at the national level there is likely a lack of access to CS
for many women in need of this procedure. However, disaggregation by wealth reveals rates of
3% in the in the poorest fifth of the population in compared to 15 % in the richest fifth; 5%
in rural vs 11% in urban and 3-8% among less educated compared to 22% in more educated women.
There is also striking variation in CS rates in hospitals of the same cadre. For example,
Nsambya Hospital has a CS rate of 50.3% compared to Gulu regional referral hospital with a CS
rate of 12.3%. Moreover, strikingly higher rates of CS are seen in some private institutions.
In recent newspaper publications, some national newspaper reports, some private institutions
are cited as having CS rates as high as 70%.
Benchmarking of CS rates between facilities and across time can help demonstrate where CS
rates may not be optimal (either underuse or overuse) and provide the basis to motivate
change. The Robson Classification has been recommended by both the WHO and the International
Federation of Gynaecology and Obstetrics (FIGO) as a global standard for assessing,
monitoring, and comparing c-section rates within heath care facilities, over time and between
facilities. In this system, deliveries are categorized into 10 groups based on obstetric
history, onset of labour, fetal presentation, number of neonates and gestational age. This
system benefits from parameters that are prospective, mutually exclusive, and totally
inclusive. There are a few studies using the Robson Classification to understand
facility-based rates in SSA, however to date, none have been in Uganda.
In this study, our goal is to examine CS rates using the Robson classification through a
cross-Sectional Clinical Record Review of women delivering at regional referral hospitals
(RRHs) and large private non-profit hospitals (PNFPs) in Uganda.
