Predicting Instability Risk Following Hemiarthroplasty for Femoral Neck Hip Fractures in Geriatric Patients.

BACKGROUND: Although a rare complication, dislocation following hemiarthroplasty (HA) for a femoral neck hip fracture is associated with increased mortality, readmission, and possible revision surgery. To date many of the specific risk factors have been difficult to demonstrate. Patient factors, surgical factors, as well as morphological factors need to be assessed. Therefore, the purpose of this study was to elucidate the risk factors for dislocation of HA following femoral neck hip fractures in the geriatric population. METHODS: This was a retrospective review of 270 patients who had hip fractures. Medical records between the years 2016 and 2022 informed binomial regression predictive models. The discriminative ability of variables in the final model and acetabular anteversion to predict dislocation was assessed with area under the curve (AUC) estimates. RESULTS: Center edge angle (odds ratio 1.23), abduction angle (odds ratio 1.17), and depth width ratio (2.96e-11) were significant predictors of dislocation (P = .003, .028, and <.001, respectively). Center edge angle and depth width ratio (<44.1 ° and .298), respectively, were cut scores for risk. Dementia had a high discriminative of ability, as did men (AUC = 0.617, 0.558, respectively). Acetabular anteversion was not predictive of dislocation (P = .259) and theorized anteversion safe zones had poor discriminative ability with AUCs of 0.510 and 0.503, respectively. CONCLUSIONS: Morphological factors related to hip dysplasia and a shallow acetabulum, which can be assessed with a radiograph alone, were found to be predictors of instability following HA in the elderly. Hemiarthroplasty implant design and manufacturer, and also acetabular version did not contribute to instability risk.

Measuring Emergency Department Staff Perceptions of Causes and Management of Violence.

BACKGROUND: Half of all reported violent incidents in health care settings occur in the emergency department (ED) placing all staff members at risk. However, research typically does not include all ED work groups or validated measures beyond nurses and physicians. OBJECTIVE: The aims of this study were to (a) validate an established instrument measuring perceptions of causes of violence and attitudes toward managing violence within an inclusive workforce sample; and (b) explore variation in perceptions, attitudes, and incidence of violence and safety to inform a violence prevention program. METHODS: This is an investigator-initiated single-site cross-sectional survey design assessing the psychometric properties of the Management of Aggression and Violence Attitude Scale (MAVAS) within a convenience sample (n = 134). Construct validity was assessed using exploratory factor analysis and reliability was evaluated by the Cronbach's α estimation. Descriptive, correlational, and inferential estimates explored differences in perceptions, attitudes, and incidence of violence and safety. RESULTS: Exploratory factor analysis indicated validity of the MAVAS with a seven-factor model. Its internal consistency was satisfactory overall (Cronbach's α= 0.87) and across all subscales (Cronbach's α values = 0.52-0.80). Significant variation in incidence of physical assault, perceptions of safety, and causes of violence was found between work groups. CONCLUSIONS: The MAVAS is a valid and reliable tool to measure ED staff members' perceptions of causes of violence and attitudes toward managing violence. In addition, it can inform training according to differences in work group learner needs.

Screening for Risk of Fall-Related Inpatient Trauma in a US Acute Care Setting.

Introduction Falls during hospitalization are a leading cause of preventable trauma-related injuries. Factors associated with fall risk include an unfamiliar environment, changes in health status, and efficacy based on the home environment. Assessing fall efficacy with an individualized prevention plan can decrease falls. The primary aim of this study was to estimate the effect of implementing a fall efficacy screening and intervention on reducing patient falls. Methods The study utilized a quasi-experimental, cross-sectional design with a convenience sample of patients admitted to an in-patient adult medical unit within a community hospital over a twelve-month period. Sampling times included pre-implementation, immediately post-implementation, and a second post-implementation phase. The intervention consisted of an admission fall efficacy screening tool and an individualized educational initiative. Statistical analysis included descriptive statistics of central tendency and dispersion, along with inferential statistics using independent sample t-tests, chi-square tests, correlations, and binary logistic regression. Results Among the study participants (n=2,074), the total sample had an average age of 67.7 (+/- 17.4) years and had mean scores of 13.3 (6.9) on the Short Falls Efficacy Scale-International and 51.8 (20.3) on the Morse Fall Scale. Fifty-two percent of the study population were female; 16.2% of the patients were diagnosed with cerebrovascular accident (CVA) or CVA-like symptoms. Fall rates decreased with a rate of change of -4.15% after efficacy screening and intervention. Males demonstrated higher efficacy in avoiding falls compared to females (t(828) = 3.369, p <0.001). Patients with a CVA diagnosis demonstrated higher efficacy scores compared to non-CVA patients (t(2071) = -3.348, p <0.001). FES risk groups (OR of 5.632, 95% CI (2.171-7.892)) and age over 65 (OR 1.21, 95% CI (1.006-1.442)) were significant predictors of a fall when patients with a primary CVA diagnosis were omitted from the sample (p= 0.022 and 0.046 respectively). Conclusion The findings suggest that efficacy screening may be associated with decreased falls for acute care non-CVA inpatient populations over 65 years of age. Further research into the predictive utility of fall efficacy screening in acute care CVA and non-CVA hospitalized patient populations aged 65 years and above is recommended.

Retrospective Analysis of Risk Factors in Geriatric Hip Fracture Patients Predictive of Surgical Intensive Care Unit Admission.

INTRODUCTION: Although numerous risk factors and prediction models affecting morbidity and mortality in geriatric hip fracture patients have been previously identified, there are scant published data on predictors for perioperative Surgical Intensive Care Unit (SICU) admission in this patient population. Determining if a patient will need an SICU admission would not only allow for the appropriate allocation of resources and personnel but also permit targeted clinical management of these patients with the goal of improving morbidity and mortality outcomes. The purpose of this study was to identify specific risk factors predictive of SICU admission in a population of geriatric hip fracture patients. Unlike previous studies which have investigated predominantly demographic, comorbidity, and laboratory data, the present study also considered a frailty index and length of time from injury to presentation in the Emergency Department (ED). METHODS: A total of 501 geriatric hip fracture patients admitted to a Level 1 trauma center were included in this retrospective, single-center, quantitative study from January 1, 2019, to December 31, 2022. Using a logistical regression analysis, more than 25 different variables were included in the regression model to identify values predictive of SICU admission. Predictive models of planned versus unplanned SICU admissions were also estimated. The discriminative ability of variables in the final models to predict SICU admission was assessed with receiver operating characteristic curves' area under the curve estimates. RESULTS:  Frailty, serum lactate > 2, and presentation to the ED > 12 hours after injury were significant predictors of SICU admission overall (P = 0.03, 0.038, and 0.05 respectively). Additionally, the predictive model for planned SICU admission had no common significant predictors with unplanned SICU admission. Planned SICU admission significant predictors included an Injury Severity Score (ISS) of 15 and greater, a higher total serum protein, serum sodium <135, systolic blood pressure (BP) under 100, increased heart rate on admission to ED, thrombocytopenia (<120), and higher Anesthesia Society Association physical status classification (ASA) score (P = 0.007, 0.04, 0.05, 0.002, 0.041, 0.05, and 0.005 respectively). Each SICU prediction model (overall, planned, and unplanned) demonstrated sufficient discriminative ability with the area under the curve (AUC) values of 0.869, 0.601, and 0.866 respectively. Finally, mean hospital Length of Stay (LOS) and mortality were increased in SICU admissions when compared to non-SICU admissions. CONCLUSION: Of the three risk factors predictive of SICU admission identified in this study, two have not been extensively studied previously in this patient population. Frailty has been associated with increased mortality and postoperative complications in hip fracture patients, but this is the first study to date to use a novel frailty index specifically designed and validated for use in hip fracture patients. The other risk factor, time from injury to presentation to the ED serves as an indicator for time a hip fracture patient spent without receiving medical attention. This risk factor has not been investigated heavily in the past as a predictor of SICU admissions in this patient population.

Psychometrics of the Multiple Sclerosis and Magnetic Resonance Imaging Knowledge Patient Questionnaire: A Pilot Study.

ABSTRACT: BACKGROUND: In the last few decades, the revised diagnostic criteria for multiple sclerosis (MS) and the development of numerous new MS therapies have created the possibility of early diagnosis and opportune MS management. However, these changes, and the mounting emphasis on patient choice and shared decision making, have not been accompanied by improvements in information provided to patients with MS (PwMS). Information provision for PwMS increases disease-related knowledge that may assist them in decision making and quality of life. The purpose of this study was to validate the Multiple Sclerosis and Magnetic Resonance Imaging Knowledge Questionnaire (MSMRIKQ) to improve patients' shared decision-making capabilities. METHODS: In this methodological study, the instrument development process was completed in 4 stages using principles of measurement theory: (1) establishing a pool of items after patient and clinician panels' review, (2) evaluating the validity of the scale-both face and content validity, (3) pilot testing the scale, and (4) post-pilot testing statistical analysis of items and scale reliability and validity. RESULTS: The 20-item instrument was finalized based on a panel of MS experts' and patients' comments. The final version of the MSMRIKQ was pilot tested with a sample of 46 PwMS. Face validity was established on all MSMRIKQ items. Individual item-level and scale-level content validity indices for universal agreement estimates were acceptable at item-level content validity index = 1 and scale-level content validity index = 1 for the 20 items. The Kuder-Richardson 20 reliability estimate for the entire scale was 0.58; the Kuder-Richardson 20 estimates for the subscales of MS and magnetic resonance imaging knowledge were 0.35 and 0.51, respectively. The split-half reliability with Spearman-Brown correction for the total scale was 0.60. The Poisson regression model was significant for predicting MS knowledge within this population. CONCLUSION: The MSMRIKQ is a basic knowledge instrument for clinical and research use.