Evidence map›Paper›PMID 41702661›Full record

ArticleBMJ open2026

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.

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

Abstract read
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Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Picharee KarunayawongHealth Intervention and Technology Assessment Program, Mueang Nonthaburi, Nonthaburi, Thailand.ORCID http://orcid.org/0009-0003-1758-4639
Jarawee SukmaneeHealth Intervention and Technology Assessment Program, Mueang Nonthaburi, Nonthaburi, Thailand.
Rukmanee ButchonHealth Intervention and Technology Assessment Program, Mueang Nonthaburi, Nonthaburi, Thailand.
Thanayut SaeraneesoponHealth Intervention and Technology Assessment Program, Mueang Nonthaburi, Nonthaburi, Thailand.
Chulathip BoonmaHealth Intervention and Technology Assessment Program, Mueang Nonthaburi, Nonthaburi, Thailand.
Chaiyos KunanusontNational Health Security Office, Bangkok, Bangkok, Thailand.
Pisake LumbiganonDepartment of Obstetrics and Gynaecology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Alec MortonUniversity of Strathclyde, Glasgow, UK.ORCID http://orcid.org/0000-0003-3803-8517
Yot TeerawattananonHealth Intervention and Technology Assessment Program, Mueang Nonthaburi, Nonthaburi, Thailand.ORCID http://orcid.org/0000-0003-2217-2930
Wanrudee IsaranuwatchaiHealth Intervention and Technology Assessment Program, Mueang Nonthaburi, Nonthaburi, Thailand wanrudee.i@hitap.net.ORCID http://orcid.org/0000-0002-8368-6065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSince 1985, the international healthcare community has recommended the ideal rate of caesarean section (CS) to be 10%-15% at the national level. The literature has reported that overused CS without necessary medical indications can be harmful to both maternal and child health. To generate evidence to support policy on CS, this study evaluated the trend over time of CS in Thailand during January 2016 to October 2021 (which included the COVID-19 pandemic period) and explored predictors of CS use. DESIGN AND

settingThis study was a retrospective secondary data analysis of de-identified hospitalisation data under the Universal Coverage Scheme (UCS) from the National Health Security Office's e-Claims database. Descriptive analyses were conducted to explore the number and rate of CS over time and across different characteristics (ie, age, hospital type, COVID-19 status and delivery day) including a multivariable logistic analysis to explore predictors of CS. Interrupted time series analysis was adopted to investigate the effect of the COVID-19 pandemic on CS rate.

participants569 321 CS cases under UCS from 2016 to 2021.

resultsThe results showed an increasing trend of CS rate, from 30% in January 2016 to 35% in October 2021. Both clinical (eg, medical indication and age) and non-clinical (eg, region and day of delivery) factors were significantly associated with CS. Furthermore, the COVID-19 pandemic had no significant effect on CS rate (level: -0.0016, 95% CI -0.0085 to 0.0053, p=0.66).

conclusionThis 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.

Indexed as

Cesarean SectionCOVID-19HospitalizationUniversal Health InsuranceAdultFemaleHumansPandemicsPregnancyRetrospective StudiesSARS-CoV-2ThailandYoung AdultCesarean SectionHealth ServicesRetrospective Studies

Identifiers

PMID41702661
PMCPMC12918665

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.