Aims. The evidence base within trauma and orthopaedics has traditionally favoured quantitative
The number of women entering medical school has been steadily increasing over the past two decades; however, the number of women pursuing careers in orthopaedic surgery has not increased at the same rate. One of the suggested reasons for this discrepancy is the perceived incompatibility of having a family while upholding the demands of a surgical career in orthopaedics. A growing body of scientific literature has also outlined the increased rate of infertility and pregnancy complications in women surgeons. The extent to which these factors play a role in the recruitment and retention of women in orthopaedic surgery is unknown. Understanding pregnancy and parenthood in orthopaedic surgery is a critical first step in addressing this issue. A scoping review was conducted to identify literature pertaining to the perceptions and experiences of pregnancy and/or parenthood of women in orthopaedic surgery. Embase, MEDLINE and PsychINFO were searched on June 7th, 2021 with Boolean operators to combine the following terms: orthop?e*, pregnancy, maternity, motherhood, parenthood, parental, and parenting. Studies pertaining to orthopaedic surgery residents, fellows and staff were included. The Arksey and O'Malley framework for scoping studies was followed. Descriptive statistics were used to quantify the included studies while thematic analysis as described by Braun and Clarke was used to analyze the qualitative data. A total of 17 studies from 2006 to 2021 met inclusion criteria. Over half of the available research was conducted within the last two years (n=9, 53%). The majority of studies were conducted in the United States (n=15, 88%) and the United Kingdom (n=2, 12%). The most commonly used study design was survey-based research (n=13, 76%), followed by review studies (n=3, 18%), and case series (n=1, 6%). Thematic analysis revealed five key themes contributing to the women's experiences of pregnancy and/or parenthood in orthopaedics: (1) women are subtly or blatantly discouraged from becoming pregnant by their colleagues and superiors, (2) women delay childbearing to preserve their professional reputation, (3) there are higher rates of infertility and preterm labor in orthopaedic surgeons than in the general population, (4) the orthopaedic work environment can be hazardous and challenging for the pregnant woman, but accommodations are possible to mitigate risks, and (5) overall, there is limited support for pregnant and/or parenting women in orthopaedics throughout their career. The first woman to be board-certified in orthopaedic surgery in the United States was Ruth Jackson in 1937. Eighty-four years later, orthopaedic surgery has the lowest number of women of the surgical specialties. The barriers related to pregnancy and/or parenthood during a woman's career in orthopaedics may be one cause. This study identified five themes related to pregnancy and parenthood that warrant further investigation.
With the rising rates, and associated costs, of total knee arthroplasty (TKA), enhanced clarity regarding patient appropriateness for TKA is warranted. Towards addressing this gap, we elucidated in
Abstract. Non-operative management of AIS can present practical and psychological challenges, as effective bracing requires a considerable investment of time in adolescence which is a formative point of physical and emotional development. The management team lacks input from the psychological team and thus, it would be prudent for the spinal teams to appreciate and deal with the psychosocial effects associated with bracing. We sought to investigate how bracing as a part of non-operative management of idiopathic scoliosis, is perceived among adolescents. We performed a search of CINAHL, Medline, AMED, PsychARTICLES, Psychology and Behavioral Sciences Collection and PsychINFO databases to identify
Aims. The COVID-19 pandemic presents an unprecedented burden on global healthcare systems, and existing infrastructures must adapt and evolve to meet the challenge. With health systems reliant on the health of their workforce, the importance of protection against disease transmission in healthcare workers (HCWs) is clear. This study collated responses from several countries, provided by clinicians familiar with practice in each location, to identify areas of best practice and policy so as to build consensus of those measures that might reduce the risk of transmission of COVID-19 to HCWs at work. Methods. A cross-sectional descriptive survey was designed with ten open and closed questions and sent to a representative sample. The sample was selected on a convenience basis of 27 senior surgeons, members of an international surgical society, who were all frontline workers in the COVID-19 pandemic. This study was reported according to the Standards for Reporting
Introduction. There are currently no quality of life Patient Reported Outcome Measures (PROMs) that have been validated for patients with conditions requiring lower limb reconstructive surgery. The extent to which current generic and lower limb specific PROMs address relevant dimensions for these patients is unclear. Materials and Methods. We will present an overview of the PROLLIT (Patient-Reported Outcome Measure for Lower Limb Reconstruction) mixed-methods study. PROLLIT aims to establish the adequacy of current PROMS for this population, whether a new measure is required, and to develop a new measure if appropriate. Results. The PROLLIT study consists of three phases:. Phase 1 is currently underway and involves the development of a conceptual model to map the key quality of life constructs relevant to people undergoing reconstructive surgery, to specify the intended population and uses of a PROM in this field. The conceptual model is being developed in a 3 step process: (i) Existing evidence is being collated in a systematic review of published
Introduction. Patient reported outcome measures (PROMs) are used to understand the impact of lower limb reconstruction on patient's quality of life (QOL). Existing measures have not been developed to specifically capture patient experiences amongst adults with lower limb conditions that require reconstruction surgery. This systematic review of qualitative studies (qualitative evidence synthesis) aimed to identify what is important to these patients. Materials and Methods. MEDLINE, Embase, PsychINFO and Cinahl were searched from inception until November 2020. Studies were included if they employed
The burden of metastatic bone disease (MBD) in our Canadian cancer population continues to increase. MBD has a significant effect on patient morbidity, mortality, and health-related quality of life (HRQOL). There are various technical options used to surgically stabilize MBD lesions, surgical decision-making is variable and largely dependent on anatomic and surgeon-based factors. There is a paucity of research examining how surgical decision-making for MBD can be modified or individualized to improve quality of life (QOL) and functional outcomes, while more accurately aligning with patient-reported goals and expectations. The objective of this study was tosurvey MBD patients, support persons, physicians, and allied health care providers (HCP) with the goal of identifying 1) important contributors to HRQOL, 2) discordance in peri-operative expectations, and 3) perceived measures of success in the surgical management of MBD. This project is a longitudinal patient-engaged research initiative in MBD. A survey was developed based on HRQOL themes in the literature and based on feedback from our patient research partners. Participants were asked to identify 1) important contributors to HRQOL and 2) perceived measures of success relevant to the surgical management of MBD. Participants were asked to rank themes from ‘extremely important’ to ‘not important at all’. Using open-ended questions, participants were asked to identify areas of improvement. Responses from the open-ended questions were analyzed by an experienced
The principles of evidence-based medicine (EBM) are the foundation of modern medical practice. Surgeons are familiar with the commonly used statistical techniques to test hypotheses, summarize findings, and provide answers within a specified range of probability. Based on this knowledge, they are able to critically evaluate research before deciding whether or not to adopt the findings into practice. Recently, there has been an increased use of artificial intelligence (AI) to analyze information and derive findings in orthopaedic research. These techniques use a set of statistical tools that are increasingly complex and may be unfamiliar to the orthopaedic surgeon. It is unclear if this shift towards less familiar techniques is widely accepted in the orthopaedic community. This study aimed to provide an exploration of understanding and acceptance of AI use in research among orthopaedic surgeons. Semi-structured in-depth interviews were carried out on a sample of 12 orthopaedic surgeons. Inductive thematic analysis was used to identify key themes.Aims
Methods
Our primary aim was to establish the proportion of female orthopaedic consultants who perform arthroplasty via cases submitted to the National Joint Registry (NJR), which covers England, Wales, Northern Ireland, the Isle of Man, and Guernsey. Secondary aims included comparing time since specialist registration, private practice participation, and number of hospitals worked in between male and female surgeons. Publicly available data from the NJR was extracted on the types of arthroplasty performed by each surgeon, and the number of procedures of each type undertaken. Each surgeon was cross-referenced with the General Medical Council (GMC) website, using GMC number to extract surgeon demographic data. These included sex, region of practice, and dates of full and specialist registration.Aims
Methods
The aim of this study was to develop and evaluate machine-learning-based computerized adaptive tests (CATs) for the Oxford Hip Score (OHS), Oxford Knee Score (OKS), Oxford Shoulder Score (OSS), and the Oxford Elbow Score (OES) and its subscales. We developed CAT algorithms for the OHS, OKS, OSS, overall OES, and each of the OES subscales, using responses to the full-length questionnaires and a machine-learning technique called regression tree learning. The algorithms were evaluated through a series of simulation studies, in which they aimed to predict respondents’ full-length questionnaire scores from only a selection of their item responses. In each case, the total number of items used by the CAT algorithm was recorded and CAT scores were compared to full-length questionnaire scores by mean, SD, score distribution plots, Pearson’s correlation coefficient, intraclass correlation (ICC), and the Bland-Altman method. Differences between CAT scores and full-length questionnaire scores were contextualized through comparison to the instruments’ minimal clinically important difference (MCID).Aims
Methods