Variation in use of Caesarean section in Norway: An application of spatio-temporal Gaussian random fields.
Aims: Caesarean section (CS) is a medical intervention performed in Norway when a surgical delivery is considered more beneficial than a vaginal. Because deliveries with higher risk are centralized to larger hospitals, use of CS varies considerably between hospitals. We describe how the use of CS va...
| Publicado en: | Scandinavian Journal of Public Health Vol. 49; no. 8; pp. 891 - 899 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153431278&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153431278 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14034948 BDD jtl: Scandinavian Journal of Public Health issn: 14034948 maglogo: Y pubinfo: dt: Dec2021 vid: 49 iid: 8 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 153431278 150222589 153431278 153431278 10.1177/14034948211008579 153431278 ppf: 891 ppct: 8 formats: tig: atl: Variation in use of Caesarean section in Norway: An application of spatio-temporal Gaussian random fields. aug: au: Mannseth, Janne Berentsen, Geir D. Skaug, Hans J. Lie, Rolv T. Moster, Dag affil: Department of Global Public Health and Primary Care, University of Bergen, Norway sug: subj: Cesarean Section Human Female Adult Norway Adult: 19-44 years Female ab: Aims: Caesarean section (CS) is a medical intervention performed in Norway when a surgical delivery is considered more beneficial than a vaginal. Because deliveries with higher risk are centralized to larger hospitals, use of CS varies considerably between hospitals. We describe how the use of CS varies geographically by municipality. Since indications for CS should have little variation across the relatively homogenous population of Norway, we expect fair use of CS to be evenly distributed across the municipalities. Methods: Data from the Medical Birth Registry of Norway were used in our analyses (810,914 total deliveries, 133,746 CSs, 440 municipalities). We propose a spatial correlation model that takes the location into account to describe the variation in use of CS across the municipalities. The R packages R-INLA and TMB are used to estimate the yearly municipal CS rate and the spatial correlation between the municipalities. We also apply stratified models for different categories of delivering women (Robson groups). Estimated rates are displayed in maps and model parameters are shown in tables. Results: The CS rate varies substantially between the different municipalities. As expected, there was strong correlation between neighbouring municipalities. Similar results were found for different Robson groups. Conclusions: The substantial difference in CS use across municipalities in Norway is not likely to be due to specific medical reasons, but rather to hospitals' different policies towards the use of CS. The policy to be either more or less restrictive to CS was not specific to any category of deliveries. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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