[Health care claims per medical specialty in the Netherlands: a 10-year overview]

Ned Tijdschr Geneeskd. 2019 Mar 11:163:D3548.
[Article in Dutch]

Abstract

Objective: To analyse the quantity and size of health care claims per medical specialty in the past 10 years.

Design: Descriptive, evaluative and comparative study.

Method: Anonymised damage claim data from Centramed and MediRisk were used for this study. The numbers and sizes of the claims per specialty have been analysed over a ten-year period and plotted against production numbers of the various specialties, calculated on the basis of DBC data. All damage claims were related to regular hospital care in the Netherlands and were submitted or closed in the period from 1 January 2007 to 31 December 2016.

Results: A total of 15,115 claims were submitted during the period under study. 16.2% of these were related to non-surgical specialties, 64.7% to surgical specialties, 10.8% to supporting specialties, 0.7% to paramedics working at the hospital and the specialty was impossible to find out for 7.6% of them. The total cost of all damage claims closed during the study period was € 229,224,433. Of the total damage burden, 19% was paid out to patients with claims against non-surgical specialties and 63% to patients with claims against surgical specialties. General surgery, orthopaedics and gynaecology together were responsible for 47% of all submitted claims for damages and for 52% of the damage burden.

Conclusion: General surgery, orthopaedics and gynaecology invariably are, just as in previous studies, the specialties with the highest number of damage claims and the largest damage burden. Even when corrected for production volumes, these specialties comparatively have the most and most expensive damage claims.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Costs and Cost Analysis / statistics & numerical data
  • Hospitals / statistics & numerical data
  • Humans
  • Malpractice / statistics & numerical data*
  • Medicine / statistics & numerical data*
  • Netherlands