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Recent data on number of claims, final judgement of claims and their costs are scarce. This study analyzes 15 years of malpractice claims in the Netherlands. All claims filed, and all claims closed by two insurance companies (which insure approximately 95% of all hospitals in the Netherlands) between 2007–2021 are included. Trends in number of claims, medical specialties involved, final judgements and costs from malpractice claims are analyzed, as well as the impact of COVID-19 on malpractice claims. In total, 20,726 claims were filed and 21,826 claims were closed. Since 2013, the number of claims filed decreased. Of all claims filed, 64% were aimed at surgical specialties and 18% at contemplative specialties. Of all claims closed, 24.49% were accepted, 19.26% were settled and 48.94% got rejected. The financial burden of all claims closed quadrupled between 2007 and 2021; this increase was caused by rare cases with excessively high costs. Since the COVID-19 pandemic, we observed a decrease in the number of claims filed, and the number of incidents reported. This study provides valuable insights into trends and developments in the number and costs of liability claims, which is the first step towards improving patient safety and preventing incidents and malpractice claims. [ABSTRACT FROM AUTHOR]

Background: Estimating the risk of malignancy is essential in the management of adnexal masses. An accurate differential diagnosis between benign and malignant masses will reduce morbidity and costs due to unnecessary operations, and will improve referral to a gynecologic oncologist for specialized cancer care, which improves outcome and overall survival. The Risk of Malignancy Index is currently the most commonly used method in clinical practice, but has a relatively low diagnostic accuracy (sensitivity 75-80 % and specificity 85-90 %). Recent reports show that other methods, such as simple ultrasound-based rules, subjective assessment and (Diffusion Weighted) Magnetic Resonance Imaging might be superior to the RMI in the pre-operative differentiation of adnexal masses. Methods/Design: A prospective multicenter cohort study will be performed in the south of The Netherlands. A total of 270 women diagnosed with at least one pelvic mass that is suspected to be of ovarian origin who will undergo surgery, will be enrolled. We will apply the Risk of Malignancy Index with a cut-off value of 200 and a two-step triage test consisting of simple ultrasound-based rules supplemented -if necessary- with either subjective assessment by an expert sonographer or Magnetic Resonance Imaging with diffusion weighted sequences, to characterize the adnexal masses. The histological diagnosis will be the reference standard. Diagnostic performances will be expressed as sensitivity, specificity, positive and negative predictive values and likelihood ratios. Discussion: We hypothesize that this two-step triage test, including the simple ultrasound-based rules, will have better diagnostic accuracy than the Risk of Malignancy Index and therefore will improve the management of women with adnexal masses. Furthermore, we expect this two-step test to be more cost-effective. If the hypothesis is confirmed, the results of this study could have major effects on current guidelines and implementation of the triage test in daily clinical practice could be a possibility. Trial registration: ClinicalTrials.gov: registration number NCT02218502. [ABSTRACT FROM AUTHOR]

Objectives: Data-driven decision support tools have been increasingly recognized to transform health care. However, such tools are often developed on predefined research datasets without adequate knowledge of the origin of this data and how it was selected. How a dataset is extracted from a clinical database can profoundly impact the validity, interpretability and interoperability of the dataset, and downstream analyses, yet is rarely reported. Therefore, we present a case study illustrating how a definitive patient list was extracted from a clinical source database and how this can be reported., Study Design and Setting: A single-center observational study was performed at an academic hospital in the Netherlands to illustrate the impact of selecting a definitive patient list for research from a clinical source database, and the importance of documenting this process. All admissions from the critical care database admitted between January 1, 2013, and January 1, 2023, were used., Results: An interdisciplinary team collaborated to identify and address potential sources of data insufficiency and uncertainty. We demonstrate a stepwise data preparation process, reducing the clinical source database of 54,218 admissions to a definitive patient list of 21,553 admissions. Transparent documentation of the data preparation process improves the quality of the definitive patient list before analysis of the corresponding patient data. This study generated seven important recommendations for preparing observational health-care data for research purposes., Conclusion: Documenting data preparation is essential for understanding a research dataset originating from a clinical source database before analyzing health-care data. The findings contribute to establishing data standards and offer insights into the complexities of preparing health-care data for scientific investigation. Meticulous data preparation and documentation thereof will improve research validity and advance critical care., Competing Interests: Declaration of competing interest The authors declare that there are no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

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.

Objective: To investigate the number and extent of claims concerning hospital care at a national level, thereby affording insight to the profession., Design: A quantitative, descriptive and comparative study., Method: We used anonymised data on all claims for damages from regular hospital care that were submitted to Centramed and MediRisk between 1 January 2007 and 31 December 2016. Between them, these two companies are the insurers of 95% of all Dutch hospitals. Using SPSS and Mathematica, we analysed the number of claims submitted, the average duration of the procedures, the manner in which they were settled, developments in the total cost of claims, and the settlements paid out to claimants., Results: A total of 15,115 claims were made between 2007 and 2016. Up to 2013, the number of claims increased annually, thereafter this stabilised. In 2016, 4.5% more claims were submitted than in 2007. During the same period, 15,306 claims were closed. The total claim-related cost was € 229,191,033 and showed a clearly rising trend throughout this period. In 2016 the cost of claims was four-and-a-half times as high as in 2007., Conclusion: The number of claims being made is rising, but not as quickly as the cost of claims which increased fivefold during the period under investigation. Compared with previous investigations, both the number and the extent of the claims increased significantly between 2007 and 2016.

Background: This study describes variables related to women's prelabour preference for epidural analgesia (PEA) in two neighbouring countries with a comparable socio-economic and cultural background., Methods: Dutch women in midwifery (n = 164) or obstetrical care (n = 162), and Belgian women (n = 188) of ≥36 weeks gestation with a singleton in cephalic presentation completed questionnaires on demographic factors, received labour analgesia information, perceived attitude of the caregiver towards epidural analgesia (EA), pain catastrophising and coping with labour pain. Multiple logistic regression analysis was performed with PEA as dependent variable., Results: PEA was 9.9% in Dutch midwifery care, 25.5% in Dutch obstetrical care and 38.3% in Belgian care (p value < 0.001). In the Netherlands, maternal age of 35 years or older (OR 4.95; 95% confidence interval (CI) 2.03-12.08), positive attitude of the caregiver towards EA (OR 5.83; 95% CI 2.57-13.23) and a lower degree of coping (OR 3.61; 95% CI 2.24-5.82) were independently associated with PEA. In Belgium, only a lower degree of coping was associated with PEA (OR 4.06; 95% CI 2.45-6.73)., Conclusions: In both countries, women with a lower degree of coping had a higher PEA. Care setting in the Netherlands was not an independent variable.