Evidence map›Paper›PMID 22594486›Full record

ArticleHealth services research2012

Adoption of diagnostic technology and variation in caesarean section rates: a test of the practice style hypothesis in Norway.

Jostein Grytten, Lars Monkerud, Rune Sørensen

Abstract read
In one paragraph

Article in Health services research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Gender-specific practice styles and ambulatory health care expenditures.The European journal of health economics : HEPAC : health economics in prevention and care · 2017
    Article
  5. Article
  6. 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

3 authors.

Jostein GryttenSection of Community Dentistry, University of Oslo and Akershus University Hospital, Blindern, Oslo, Norway. josteing@odont.uio.no
Lars Monkerud
Rune Sørensen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine whether the introduction of advanced diagnostic technology in maternity care has led to less variation in type of delivery between hospitals in Norway. DATA SOURCES: The Medical Birth Registry of Norway provided detailed medical information for 1.7 million deliveries from 1967 to 2005. Information about diagnostic technology was collected directly from the maternity units. STUDY

designThe data were analyzed using a two-level binary logistic model with Caesarean section as the outcome measure. Level one contained variables that characterized the health status of the mother and child. Hospitals are level two. A heterogeneous variance structure was specified for the hospital level, where the error variance was allowed to vary according to the following types of diagnostic technology: two-dimensional ultrasound, cardiotocography, ST waveform analysis, and fetal blood analyses. PRINCIPAL FINDING: There was a marked variation in Caesarean section rates between hospitals up to 1973. After this the variation diminished markedly. This was due to the introduction of ultrasound and cardiotocography.

conclusionDiagnostic technology reduced clinical uncertainty about the diagnosis of risk factors of the mother and child during delivery, and variation in type of delivery between hospitals was reduced accordingly. The results support the practice style hypothesis.

Indexed as

UncertaintyCardiotocographyCesarean SectionDiagnostic Techniques and ProceduresElectrocardiographyFemaleFetal BloodHumansNorwayPractice Patterns, Physicians'PregnancyUltrasonography

Identifiers

PMID22594486
PMCPMC3523370

What OpenQuestion holds

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Registered trials

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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.