Arthroplasty registries have played a key role in the treatment of patients with various joint diseases and conditions since their conception. Swedish hip and knee arthroplasty registries were initiated in late 1970's. The main aim of registries was to create feedback to surgeons. During the last two decades with introduction of patient reported outcomes, data from registries have been increasingly used to compare caregivers and to improve quality of health care. According to the Swedish Hip Arthroplasty Register (SHAR) Sahlgrenska University Hospital had been underperforming during years 2006–2012. In order to improve the outcomes a systematic data driven approach using local and national registries, based on value based management was undertaken. Representatives from all categories of healthcare staff and patients were invited to join a newly initiated group. The group was asked to define which measurement that contributed most to improve healthcare. Data from SHAR and local registries were used and seventeen different areas of improvement were identified. Several workgroups were initiated. Between years 2013 and 2017 there was an increase of 60% in the annual volume of elective THAs. The length of stay decreased from 6.4 days to 1.8 days. Satisfaction with outcome of surgery increased from 76% to 90%. Adverse events decreased from 28% to 10%. The risk of re-operations within 2 years decreased from 2.4% to 1.9%. Data from a national and a local registry were used to identify and implement changes in a large university hospital. Engaging member of staff and creating a graphical tool for continuous feedback drastically improved the quality of care whilst increasing the availability of hip replacements and reducing costs. This project demonstrates the power of registry data and a patient centered approach in engaging staff and improving healthcare.
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.
Elective surgery elicits a systemic immune response and may result in immunosuppression in certain patients. It is currently unknown whether patients are at an increased risk for viral infection and associated illness in the immediate postoperative period following total joint arthroplasty. This question has become more important given the ongoing coronavirus disease 2019 (COVID-19) pandemic. We analyzed 3 large administrative datasets (Medicare 5% and 100% standard analytic files, Humana claims database) to identify patients who underwent total knee arthroplasty (TKA) and total hip arthroplasty (THA) from 2005 to 2013. The influenza vaccination status of each patient was defined using the presence or absence of a code for vaccination. The incidence of a flu diagnosis was recorded in both vaccinated and unvaccinated patients at 1 month, 3 months, and 6 months following the date of surgery and was compared to a cohort of vaccinated patients who did not undergo surgery.Introduction
Methods
In March 2020, the World Health Organisation declared the COVID-19 outbreak a pandemic. Multiple new guidelines were proposed and existing models of social, domestic and hospital care altered. Most healthcare systems were largely unprepared for this and this pandemic has tested their adaptability. This study is aimed at assessing the impact of covid-19 on the demographics, presentation and clinical management of patients with proximal femoral (hip) fractures. This retrospective multi-centre cohort study compared all patients admitted with hip fractures, between 1. st. March and 30th May 2019 (Group PC: Pre-Covid) with hip fracture patients admitted over the same time period during the pandemic in 2020 (Group C: Covid). The data was obtained from the hospitals' local and National Hip Fracture
Aims. Despite advances in the treatment of paediatric hip disease, adolescent and young adult patients can develop early onset end-stage osteoarthritis. The aims of this study were to address the indications and medium-term outcomes for total hip arthroplasty (THA) with ceramic bearings for teenage patients. Methods. Surgery was performed by a single surgeon working in the paediatric orthopaedic unit of a tertiary referral hospital.
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. A group of 1,000 randomly selected clinical and hospital notes from eight different surgeons were collected for patients undergoing primary arthroplasty between 2012 and 2018. In all, 19 preoperative, 17 operative, and two postoperative variables of interest were manually extracted from these notes. A NLP algorithm was created to automatically extract these variables from a training sample of these notes, and the algorithm was tested on a random test sample of notes. Performance of the NLP algorithm was measured in Statistical Analysis System (SAS) by calculating the accuracy of the variables collected, the ability of the algorithm to collect the correct information when it was indeed in the note (sensitivity), and the ability of the algorithm to not collect a certain data element when it was not in the note (specificity).Aims
Methods
Increasingly, patients with bilateral hip arthritis wish to undergo staged total hip arthroplasty (THA). With the rise in demand for arthroplasty, perioperative risk assessment and counselling is crucial for shared decision making. However, it is unknown if complications that occur after a unilateral hip arthroplasty predict complications following surgery of the contralateral hip. We used nationwide linked discharge data from the Healthcare Cost and Utilization Project between 2005 and 2014 to analyze the incidence and recurrence of complications following the first- and second-stage operations in staged bilateral total hip arthroplasty (BTHAs). Complications included perioperative medical adverse events within 30 to 60 days, and infection and mechanical complications within one year. Conditional probabilities and odds ratios (ORs) were calculated to determine whether experiencing a complication after the first stage of surgery increased the risk of developing the same complication after the second stage.Aims
Patients and Methods
Few reconstructive techniques are available for patients requiring
complex acetabular revisions such as those involving Paprosky type
2C, 3A and 3B deficiencies and pelvic discontinuity. Our aim was
to describe the development of the patient specific Triflange acetabular
component for use in these patients, the surgical technique and
mid-term results. We include a description of the pre-operative
CT scanning, the construction of a model, operative planning, and
surgical technique. All implants were coated with porous plasma
spray and hydroxyapatite if desired. A multicentre, retrospective review of 95 complex acetabular
reconstructions in 94 patients was performed. A total of 61 (64.2%)
were female. The mean age of the patients was 66 (38 to 85). The
mean body mass index was 29 kg/m2 (18 to 51). Outcome
was reported using the Harris Hip Score (HHS), complications, failures
and survival.Aims
Patients and Methods