Evidence map›Paper›PMID 41029499›Full record

ArticleBMC pregnancy and childbirth2025

Health facility cost of caesarean delivery at tertiary level hospital in Tunisia using time-driven activity-based costing.

Amel Amara, Mariem Ghardallou, Imen Bannour, Amal Gara, Manel Limam, Hedi Khairi, Ali Mtiraoui

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Amel AmaraUniversity of Sousse, faculty of medicine of Sousse, Department of family and community medicine, research laboratory LR 12ES03, Sousse, Tunisia. amel.amara1@yahoo.fr.
Mariem GhardallouUniversity of Sousse, faculty of medicine of Sousse, Department of family and community medicine, research laboratory LR 12ES03, Sousse, Tunisia.
Imen BannourUniversity of Sousse, faculty of medicine of Sousse, department of gynaecology and obstetrics, Farhat Hached university hospital, Sousse, Tunisia.
Amal GaraUniversity of Sousse, faculty of medicine of Sousse, Department of family and community medicine, research laboratory LR 12ES03, Sousse, Tunisia.
Manel LimamUniversity of Sousse, faculty of medicine of Sousse, Department of family and community medicine, research laboratory LR 12ES03, Sousse, Tunisia.
Hedi KhairiUniversity of Sousse, faculty of medicine of Sousse, department of gynaecology and obstetrics, Farhat Hached university hospital, Sousse, Tunisia.
Ali MtiraouiUniversity of Sousse, faculty of medicine of Sousse, Department of family and community medicine, research laboratory LR 12ES03, Sousse, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of maternal deaths are preventable, and it is important to mention that most causes can be treated by caesarean section. Meanwhile, the rate of caesarean deliveries has been increasing worldwide in an unprecedented way over the last decades, including in our country. Cost analysis of CS provide insight into the hidden and actual costs involved in the provision of maternal health services by the government and to the households availing themselves of these services. The objective of this study was to determine cost of Caesarean section using TDABC in a tertiary-level government hospital in Tunisia.

methodsWe conducted a retrospective costing study using Time-Driven Activity Based costing (TDABC) at the Maternity Department of Farhat Hached University Hospital Center to estimate the cost of caesarean delivery.

resultsThe rate of CS was 35.51%. The majority (69.4%) were for multiparous women. Among the 2,615 CS, 764(29.2%) were scheduled and 1,851 (70.8%) were performed for emergency purposes. The total cost of a caesarean delivery was 1,610.83_TND (US$573.04). Personnel costs were were the largest cost drivers (52.88%), distributed as follows: US$ 21.39 (7.05%) in the pre-operative phase, US$ 100.99 (33.33%) in the intra-operative phase, and US$ 180.68 (59.62%) in the post-operative phase. The second highest cost was for medical consumables and medicines (21.74%), with intra-operative phase accounting for the largest share (82.47%), costing a total of 231.85_TND (US$82.47). In the pre and post-operative phases, medical consumables and medicines costs represented 6.69%, and 27.1%, respectively. Regarding the cost of investigations, including radiological and biological examinations, per Caesarean delivery, they ranked third in terms of share of overall costs, totalling: US$108.7, which represented 18.97% of the cost per caesarean delivery. As for indirect costs, we found that the largest portion was allocated to the depreciation of buildings, equipment and maintenance, while the smallest share went to pooled indirect costs, estimated at US$36.65.

conclusionThe total cost of caesarean delivery in our study was 1,610.83TND (US$573.04). Personnel costs were the largest cost drivers. The second highest cost was for medical consumables and medicines and investigations ranked third. Cost analysis of obstetric interventions is essential to estimate the impact of obstetric practices on healthcare resources. There is a need for the state to adopt innovative strategies and mechanisms to reduce informal payments for obstetric services in the public sector.

Indexed as

Cesarean SectionHospital CostsTertiary Care CentersAdultCosts and Cost AnalysisFemaleHumansPregnancyRetrospective StudiesTunisiaCesarean sectionCosts and cost analysisObstetricsTunisia

Identifiers

PMID41029499
PMCPMC12487469

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.