Comparison of acute outcomes from elective total hip replacements and after fragility femoral neck fractures in nonagenarians.

BACKGROUND: Hip hemiarthroplasty has traditionally been used to treat displaced femoral neck fractures in older, frailer patients whilst total hip replacements (THR) have been reserved for younger and fitter patients. However, not all elderly patients are frail, and some may be able to tolerate and benefit from an acute THR. Nonagenarians are a particularly heterogenous subpopulation of the elderly, with varying degrees of independence. Since THRs are performed electively as a routine treatment for osteoarthritis in the elderly, its safety is well established in the older patient. The aim of this study was to compare the safety of emergency THR to elective THR in nonagenarians. METHODS: A retrospective 10-year cohort study was conducted using data submitted to the National Hip Fracture Database (NHFD) across three hospitals in one large NHS Trust. Data was collected from 126 nonagenarians who underwent THRs between 1st January 2010 - 31st December 2020 and was categorised into emergency THR and elective THR groups. Mortality rates were compared between the two groups. Secondary outcomes were also compared including postoperative complications (dislocations, revision surgeries, and periprosthetic fracture), length of stay in hospital, and discharge destination. RESULTS: There was no significant difference in mortality between the two groups, with 1-year mortality rates of 11.4% and 12.1% reported for emergency and elective patients respectively (p = 0.848). There were no significant differences in postoperative complication rate and discharge destination. Patients who had emergency THR spent 5.56 days longer in hospital compared to elective patients (p = 0.015). CONCLUSION: There is no increased risk of 1-year mortality in emergency THR compared to elective THR, in a nonagenarian population. Therefore, nonagenarians presenting with a hip fracture who would have been considered for a THR if presenting on an elective basis should not be precluded from an emergency THR on safety grounds. TRIAL REGISTRATION: Not necessary as this was deemed not to be clinical research, and was considered to be a service evaluation.

Quotation errors related to the wound management of open lower limb fractures (WOLLF) randomized clinical trial.

PURPOSE: We assessed the accuracy of quotations in the published literature of the Wound Management of Open Lower Limb Fractures (WOLLF) Randomized Clinical Trial. METHODS: A literature search was performed to identify all citations of WOLLF from 2018 to 2021. Duplicate papers, non-English language papers, textbooks, technical tip videos, Ph.D. theses, and other grey literature were excluded from analysis. Eligible publications had their full text assessed by 2 independent reviewers who used a validated framework of error classification. RESULTS: We identified 62 original papers that met our eligibility criteria and referenced WOLLF. Of the 62 papers, 12 contained a quotation error (12/62, 19%). Errors were classified into major and minor. There were 7 major errors and 5 minor errors. The majority of quotation errors (7/12, 58%) occurred due to multi-referencing, where groups of references were used to support single assertions. There was substantial agreement between the two independent reviewers as determined by a Kappa coefficient of 0.761. CONCLUSION: Our study demonstrated a 19% quotation error rate in the literature regarding WOLLF. The majority were due to multi-referencing. We suggest that both authors and reviewers carefully check the source literature of key references.

Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia.

Dementia poses a growing challenge for health services but remains stigmatized and under-recognized. Digital technologies to aid the earlier detection of dementia are approaching market. These include traditional cognitive screening tools presented on mobile devices, smartphone native applications, passive data collection from wearable, in-home and in-car sensors, as well as machine learning techniques applied to clinic and imaging data. It has been suggested that earlier detection and diagnosis may help patients plan for their future, achieve a better quality of life, and access clinical trials and possible future disease modifying treatments. In this review, we explore whether digital tools for the early detection of dementia can or should be deployed, by assessing them against the principles of ethical screening programs. We conclude that while the importance of dementia as a health problem is unquestionable, significant challenges remain. There is no available treatment which improves the prognosis of diagnosed disease. Progression from early-stage disease to dementia is neither given nor currently predictable. Available technologies are generally not both minimally invasive and highly accurate. Digital deployment risks exacerbating health inequalities due to biased training data and inequity in digital access. Finally, the acceptability of early dementia detection is not established, and resources would be needed to ensure follow-up and support for those flagged by any new system. We conclude that early dementia detection deployed at scale via digital technologies does not meet standards for a screening program and we offer recommendations for moving toward an ethical mode of implementation. This article is categorized under:Application Areas > Health CareCommercial, Legal, and Ethical Issues > Ethical ConsiderationsTechnologies > Artificial Intelligence.

Systemic medical complications following total ankle arthroplasty: A review of the evidence.

BACKGROUND: Total Ankle Arthroplasty (TAA) is increasingly undertaken for the treatment of end-stage ankle arthritis. For each TAA procedure informed consent is required. The consent process should include discussion of the relevant complications, both systemic and regional. There is a lack of data regarding the systemic complications of TAA. This might cause problems in obtaining valid informed consent. METHODS: We reviewed and summarised the literature regarding the systemic complications and mortality rate of TAA. RESULTS: The average rate of systemic medical complications after TAA was 3% (range: 0-7%). The average mortality rate following TAA was 0.3% (range: 0-0.72%). The following were risk factors for systemic medical complications: obesity, diabetes, systemic co-morbidities, preoperative blood transfusion, revision procedures, and long anaesthetic duration. CONCLUSIONS: When obtaining informed consent for TAA a systemic complication rate of 3% and a mortality rate of 0.3% ought to be included and documented.

The Potential of Research Drawing on Clinical Free Text to Bring Benefits to Patients in the United Kingdom: A Systematic Review of the Literature.

Background: The analysis of clinical free text from patient records for research has potential to contribute to the medical evidence base but access to clinical free text is frequently denied by data custodians who perceive that the privacy risks of data-sharing are too high. Engagement activities with patients and regulators, where views on the sharing of clinical free text data for research have been discussed, have identified that stakeholders would like to understand the potential clinical benefits that could be achieved if access to free text for clinical research were improved. We aimed to systematically review all UK research studies which used clinical free text and report direct or potential benefits to patients, synthesizing possible benefits into an easy to communicate taxonomy for public engagement and policy discussions. Methods: We conducted a systematic search for articles which reported primary research using clinical free text, drawn from UK health record databases, which reported a benefit or potential benefit for patients, actionable in a clinical environment or health service, and not solely methods development or data quality improvement. We screened eligible papers and thematically analyzed information about clinical benefits reported in the paper to create a taxonomy of benefits. Results: We identified 43 papers and derived five themes of benefits: health-care quality or services improvement, observational risk factor-outcome research, drug prescribing safety, case-finding for clinical trials, and development of clinical decision support. Five papers compared study quality with and without free text and found an improvement of accuracy when free text was included in analytical models. Conclusions: Findings will help stakeholders weigh the potential benefits of free text research against perceived risks to patient privacy. The taxonomy can be used to aid public and policy discussions, and identified studies could form a public-facing repository which will help the health-care text analysis research community better communicate the impact of their work.

Quotation errors related to the Distal Radius Acute Fracture Fixation Trial paper.

Quotation error is an inaccuracy in the assertions made by authors when referencing another's work. This study aimed to assess the quotation errors in articles referencing the Distal Radius Acute Fracture Fixation Trial (DRAFFT). A literature search was performed to identify all citations of DRAFFT from 2014 to 2020. The relevant publications were assessed by two reviewers using a validated framework of error classification. There were 83 articles containing references to DRAFFT. There was substantial agreement between the two reviewers (Kappa coefficient 0.66). We found 22/83 (28%) of articles contained an error, with one article containing two errors. There were 12 major errors, which were not substantiated by, were unrelated to or contradicted the findings of DRAFFT, and 11 minor errors, including numerical inaccuracies, oversimplification or generalization. This study highlights that a significant number of articles inaccurately quote DRAFFT. Authors and journals should consider checking the accuracy of key referenced statements.

Clay-Based Modeling in the Anatomist's Toolkit: A Systematic Review.

Anatomical education has suffered from reduced teaching time and poor availability of staff and resources over the past thirty years. Clay-based modeling (CBM) is an alternative technique for teaching anatomy that can improve student knowledge and experience. This systematic review aimed to summarize and appraise the quality of the literature describing the uses, advantages, and limitations of CBM compared to alternative methods of teaching human gross anatomy to students or qualified healthcare professionals. A systematic search of Embase, MEDLINE, Scopus, and Web of Science databases was conducted, and the Medical Education Research Quality Instrument (MERSQI) was used to assess study quality. Out of the 829 studies identified, 12 papers met the inclusion criteria and were eligible for this review. The studies were of high quality, with a mean MERSQI score of 11.50/18. Clay-based modeling can be used to teach all gross anatomical regions, and 11 studies demonstrated a significant improvement in short-term knowledge gain in students who used CBM in comparison to other methods of learning anatomy. Eight studies that included subjective assessment showed that CBM is rated highly. However, some studies showed that students viewed CBM as juvenile and experienced difficulty making the models. Additionally, there is no evidence to suggest that CBM improves long-term knowledge. Clay-based modeling is an effective learning method for human gross anatomy and should be incorporated into the anatomists' toolkit. In the future, more randomized controlled studies with transparent study designs investigating the long-term impact of CBM are needed.

Public Opinions on Using Social Media Content to Identify Users With Depression and Target Mental Health Care Advertising: Mixed Methods Survey.

BACKGROUND: Depression is a common disorder that still remains underdiagnosed and undertreated in the UK National Health Service. Charities and voluntary organizations offer mental health services, but they are still struggling to promote these services to the individuals who need them. By analyzing social media (SM) content using machine learning techniques, it may be possible to identify which SM users are currently experiencing low mood, thus enabling the targeted advertising of mental health services to the individuals who would benefit from them. OBJECTIVE: This study aimed to understand SM users' opinions of analysis of SM content for depression and targeted advertising on SM for mental health services. METHODS: A Web-based, mixed methods, cross-sectional survey was administered to SM users aged 16 years or older within the United Kingdom. It asked participants about their demographics, their usage of SM, and their history of depression and presented structured and open-ended questions on views of SM content being analyzed for depression and views on receiving targeted advertising for mental health services. RESULTS: A total of 183 participants completed the survey, and 114 (62.3%) of them had previously experienced depression. Participants indicated that they posted less during low moods, and they believed that their SM content would not reflect their depression. They could see the possible benefits of identifying depression from SM content but did not believe that the risks to privacy outweighed these benefits. A majority of the participants would not provide consent for such analysis to be conducted on their data and considered it to be intrusive and exposing. CONCLUSIONS: In a climate of distrust of SM platforms' usage of personal data, participants in this survey did not perceive that the benefits of targeting advertisements for mental health services to individuals analyzed as having depression would outweigh the risks to privacy. Future work in this area should proceed with caution and should engage stakeholders at all stages to maximize the transparency and trustworthiness of such research endeavors.

Stop paying through the nose: student and trainee medical conferences offer better value for money than professional alternatives.

BACKGROUND: Scientific conferences in the UK are attended by practising doctors and medical students for sharing research, networking and professional development. Student/trainee conferences are typically cheaper than professional conferences, but as they are not acknowledged in national scoring systems for medical and surgical training applications, they may have worse attendance than otherwise possible. We questioned whether student/trainee conferences are of a similar scientific quality to professional conferences, while being considerably cheaper. METHODS: In this cross-sectional database review, 162 conferences were identified through a systematic search of two conference databases by three independent researchers. χ2 tests were used to compare scientific quality between student/trainee and professional conferences and the likelihood of offering different types of discounts. Independent t-tests were employed to determine cost differences between the two categories of conferences. RESULTS: Our data revealed that there was no significant difference between student/trainee and professional conferences likelihood of declaring information on their abstract review processes (p=0.105). There was no difference in speaker seniority, determined by the tool the authors developed (p=0.172). Student/trainee conferences were significantly more likely to offer workshops (p<0.0005) and were cheaper than professional conferences (p<0.0005). CONCLUSION: Our results show that student/trainee conferences offer a similar level of scientific quality to professional medical conferences in the UK at a fraction of the cost, which should be reflected within the national scoring systems.