Litigation costs are significant and increasing annually within the National Health Service (NHS) in England.

The aim of this work was to evaluate the burden of successful litigation relating to hip surgery in England. Secondary measures looked at identifying the commonest causes of successful legal action.

A retrospective review was conducted on the National Health Service Litigation Authority (NHSLA) database. All successful claims related to hip surgery over a 10 year period from 2003–2013 were identified. A total of 798 claims were retrieved and analysed.

The total cost of successful claims to the NHS was £66.3 million. This compromised £59 million in damages and £7.3 million in NHS defence-related legal costs. The mean damages for settling a claim were £74,026 (range £197-£1.6million). The commonest cause of claim was post-operative pain with average damages paid in relation to this injury being £99,543. Nerve damage and intra-operative fractures were the next commonest cause of claim with average damages settled at £103,465.

Legal action in relation to hip surgery is a considerable source of cost to the NHS. The complexity of resolving these cases is reflected in the associated legal costs which represent a significant proportion of payouts. With improved understanding of factors instigating successful legal proceedings, physicians can recognise areas where practice and training need to be improved and steps can be taken to minimise complications leading to claims.

Use of large databases for orthopaedic research has increased exponentially. Each database represents unique patient populations and vary in methodology of data acquisition. The purpose of this study was to evaluate differences in reported demographics, comorbidities and complications following total hip arthroplasty (THA) amongst four commonly used databases. Patients who underwent primary THA during 2010–2012 were identified within National Surgical Quality Improvement Programs (NSQIP), Nationwide Inpatient Sample (NIS), Medicare Standard Analytic Files (MED) and Humana Claims Database (HAC). NSQIP definitions for comorbidities and surgical complications were queried in NIS, MED, and HAC using coding algorithms. Age, sex, comorbidities, inpatient and 30-day postoperative complications were compared (NIS has inpatient data only). Primary THAs from each database were 22,644 (HAC), 371,715 (MED), 188,779 (NIS) and 27,818 (NSQIP). Age and gender distribution were similar between databases. There was variability in the prevalence of comorbidities and complications depending upon the database and duration of post-operative follow-up. HAC and MED had twice the prevalence of COPD, coagulopathy and diabetes than NSQIP. NSQIP had more than twice the obesity than NIS. HAC had more than twice the rates of 30-day complications at all endpoints compared to NSQIP and more than twice the DVTs, strokes and deep infection as MED at 30-days post-op. Comparison of inpatient and 30-day complications rates demonstrated more than twice the amount of infections and DVTs are captured when analysis is extended from inpatient stay to 30-days post-op. Amongst databases commonly used in orthopaedic research, there is considerable variation in complication rates following THA depending upon the database. It will be important to consider these differences when critically evaluating database research. Additionally, with the advent of bundled payments, these differences must be considered in risk adjustment models

Aims

Natural Language Processing (NLP) offers an automated method to extract data from unstructured free text fields for arthroplasty registry participation. Our objective was to investigate how accurately NLP can be used to extract structured clinical data from unstructured clinical notes when compared with manual data extraction.