Trends and predictors of caesarean section in Thailand before and during the COVID-19 pandemic: a retrospective analysis of national hospitalisation data under the Universal Coverage Scheme

This study highlighted an increasing trend of CS in Thailand and could present supportive evidence that Thailand might have been facing an overuse of CS. More awareness and actions are warranted to ensure the movement towards reduction of unnecessary CS in Thailand.

Authors

Institutions

Publication Details

Journal
BMJ Open
Published
2026-02-01
DOI
https://doi.org/10.1136/bmjopen-2024-096080
Primary Topic
Maternal and Perinatal Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends and predictors of caesarean section in Thailand before and during the COVID-19 pandemic: a retrospective analysis of national hospitalisation data under the Universal Coverage Scheme

Thanayut Saeraneesopon, Jarawee Sukmanee, Rukmanee Butchon, Picharee Karunayawong et al.
BMJ Open
Maternal and Perinatal Health Interventions
article

Trends and predictors of caesarean section in Thailand before and during the COVID-19 pandemic: a retrospective analysis of national hospitalisation data under the Universal Coverage Scheme

Thanayut Saeraneesopon, Jarawee Sukmanee, Rukmanee Butchon, Picharee Karunayawong, Chulathip Boonma, Wanrudee Isaranuwatchai, Pisake Lumbiganon, Chaiyos Kunanusont, Yot Teerawattananon
article en

Abstract

This study highlighted an increasing trend of CS in Thailand and could present supportive evidence that Thailand might have been facing an overuse of CS. More awareness and actions are warranted to ensure the movement towards reduction of unnecessary CS in Thailand.

BMJ OpenVol. 16(2)
National University of Singapore (SG), Khon Kaen University (TH), University of Strathclyde (GB), University of Toronto (CA), Health Intervention and Technology Assessment Program (TH), Duke-NUS Medical School (SG), Social Security Office (Thailand) (TH), National University Health System (SG)
Good health and well-being
Openalex Percentile: Top 50%
Maternal and Perinatal Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Trends and predictors of caesarean section in Thailand before and during the COVID-19 pandemic: a retrospective analysis of national hospitalisation data under the Universal Coverage Scheme — Thanayut Saeraneesopon, Jarawee Sukmanee, et al. · BMJ Open (2026) | TGRS Research Map | TGRS