Evidence map›Paper›PMID 38533202›Full record

ArticleSAGE open medicine2024

Optimizing caesarean section use and feasibility of implementing the Robson classification system: Perspectives of healthcare providers and policymakers.

Noa Shtainmetz, Riki Tesler, Cochava Sharon, Liat Korn

Abstract read
In one paragraph

Article in SAGE open medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Noa ShtainmetzDepartment of Health Systems Management, School of Health Sciences, Ariel University, Ariel, Israel.ORCID https://orcid.org/0009-0007-1405-3073
Riki TeslerDepartment of Health Systems Management, School of Health Sciences, Ariel University, Ariel, Israel.
Cochava SharonThe Academic College of Law and Science, Hod Hasharon, Israel.
Liat KornDepartment of Health Systems Management, School of Health Sciences, Ariel University, Ariel, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and Objective: In recent decades, caesarean section rates have increased dramatically worldwide and the reasons for this trend are not fully understood. This continuing trend has raised public health concerns regarding higher maternal and perinatal risks, high costs, healthcare efficiency, and inequality of services. The current study aimed to explore the perspectives and insights of healthcare providers and policymakers in the Israeli health system regarding the factors that drive caesarean section rates and the readiness and feasibility of implementing the Robson Ten Group Classification System for the first time. Methods: Semi-structured interviews were conducted ( Results: The findings reflected the "changing landscape" in childbirth practices and attitudes that contributes to the rising caesarean section rate, including childbirth at older ages, birth planning, and a transition toward a more collaborative decision-making approach to childbirth. The participants emphasized the lack of a standardized classification or consistent data monitoring of caesarean section in the Israeli health system. Additionally, enablers to implement the Robson Ten Group Classification System in Israel (ease of use, data collection and recording, and the allocation of resources and personnel), as well as barriers (concerns over workload, limited resources, budget implications, and technological complexity), were found. Conclusions: This study revealed the multifaceted factors shaping caesarean section rates within Israel and underscored the perceived need for evidence-based monitoring and informed decision-making in healthcare practices. Our findings support the conclusion that empirical evidence and clear data are crucial for effective caesarean section use and are currently lacking in Israeli hospitals. Thus, it is recommended to adopt a globally standardized, accepted, and effective tool-the Robson Ten Group Classification System-to accommodate the "changing landscape" in alignment with evolving medical and societal dynamics, which consequently will assist in optimizing caesarean section use.

Indexed as

Caesarean sectionhealthcareperspectivesRobson classification system

Identifiers

PMID38533202
PMCPMC10964469

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.