Literature DB >> 24015949

The size of the labor wards: is bigger better when it comes to patient safety?

Maria Milland1, Jens K Christoffersen, Morten Hedegaard.   

Abstract

OBJECTIVE: To assess possible associations between the size of labor units and the frequency of approved obstetric claims.
DESIGN: A nationwide retrospective descriptive study.
SETTING: Denmark. POPULATION: All patients seeking financial compensation due to obstetric injuries occurring between 1995 and 2009.
METHODS: In all, 1440 anonymized obstetrics claims were reviewed; 1326 were included in the study. Information regarding the annual number of deliveries for each place of injury was retrieved from the National Birth Registry. MAIN OUTCOME MEASURES: Obstetric injuries approved by the Danish Patient Insurance Association categorized by labor unit size.
RESULTS: The overall approval rate for submitted claims was 39.7%. Large labor units (3000-3999 deliveries/year) were found to have a lower approval rate (34.2%), compared with very large (≥4000 deliveries/year, 38.6%), intermediate (1000-2999 deliveries/year, 41.7%), and small (<1000 deliveries/year, 50.0%) units, (p < 0.05). The majority of compensation claims were approved with reference to the "specialist rule," assuming that if an experienced specialist had conducted the treatment differently the injury could have been avoided. Claims from small units showed a trend for being more often based on the specialist rule than seen in larger units (p < 0.05, test for trend).
CONCLUSION: The results may reflect that large labor units are living up to the principle of best practice to a greater degree. Several factors can be linked to the size of the labor unit and a better availability of in-house obstetricians as well as auxiliary specialists could be part of the explanation.
© 2013 Nordic Federation of Societies of Obstetrics and Gynecology.

Entities:  

Keywords:  Compensation; health facility size; insurance claim review; medical errors; obstetrics; patient safety

Mesh:

Year:  2013        PMID: 24015949     DOI: 10.1111/aogs.12229

Source DB:  PubMed          Journal:  Acta Obstet Gynecol Scand        ISSN: 0001-6349            Impact factor:   3.636


  2 in total

1.  Analyzing the heterogeneity of labor and delivery units: A quantitative analysis of space and design.

Authors:  Naola Austin; Alexandria Kristensen-Cabrera; Jules Sherman; Doug Schwandt; Allison McDonald; Laura Hedli; Lillian Sie; Steven Lipman; Kay Daniels; Lou P Halamek; Henry C Lee
Journal:  PLoS One       Date:  2018-12-26       Impact factor: 3.240

2.  Existing data sources for clinical epidemiology: the Danish Patient Compensation Association database.

Authors:  Jens Tilma; Mette Nørgaard; Kim Lyngby Mikkelsen; Søren Paaske Johnsen
Journal:  Clin Epidemiol       Date:  2015-07-17       Impact factor: 4.790

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.