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Hardy posted an update 1 year, 4 months ago
After no new items or new dimensions emerged from the cognitive interviews, the final version 7 of the ICD-BICQ consisted of 39 items tapping into (1) assessment (n = 2), (2) behavior (n = 13), (3) body perception (n = 16), and emotions (n = 8). Items were assessed on a 5-point Likert-type scale. CONCLUSION Using patient and healthcare professionals’ involvement, we developed the 39-item ICD-BICQ to measure the prevalence of BICs in ICD recipients. The factor structure, construct validity, psychometric properties, and a clinically relevant cutoff for the ICD-BICQ will be evaluated in a quantitative study of ICD recipients.OBJECTIVE The aim of this study was to evaluate the reliability and validity of the State-Trait Hopelessness Scale (STHS) in patients with heart disease who report moderate to severe state hopelessness. METHODS Reliability, concurrent validity, and convergent validity were evaluated for 20 patients. RESULTS Cronbach’s α for the State and Trait subscales were .81 and .79, respectively. Strong correlations between the State Hopelessness Subscale and Patient Health Questionnaire-9 (r = 0.77, P less then .001), State Hope Scale (r = -0.75, P less then .001), EQ-5D-5L (r = 0.59, P less then .005), and PROMIS-29 domains of depression (P = .72, P less then .001), fatigue (P = .61, P less then .001), and social roles (P = .45, P = .047) were found. There were strong correlations between the Trait Hopelessness Subscale and Trait Hope Scale (r = -0.58, P less then .005), State Hope Scale (r = -0.49, P = .03), and PROMIS-29 fatigue domain (r = 0.54, P = .015). CONCLUSIONS Findings support the reliability and validity of the STHS for evaluation of hopelessness in patients with heart disease.INTRODUCTION Designing new healthcare facilities is complex and transitions to new clinical environments carry high risks, as unanticipated problems may arise resulting in inefficient care and patient harm. Cyclopamine Design thinking, a human-centered design method, represents a unique framework to support the planning, testing, and evaluation of new clinical spaces throughout all phases of construction. Healthcare simulation has been used to test new clinical spaces, yet most report using simulation only in the late design stages. Moreover, healthcare design models have potentially underused human factors approaches calling for human-centered design. We applied a multimodal simulation-based approach underpinned by the principles of design thinking throughout the planning and construction stages of a newly renovated academic emergency department. METHODS A multidisciplinary team developed and integrated 3 simulation strategies (table-top, mock-up, and in situ simulation) into the 5-step process of design thinking. Through end-user engagement, we identified potential challenges, prototyped solutions through table-top and mock-up simulations, and iteratively tested these solutions through in situ simulation within the actual clinical space. RESULTS The team used end-user engagement and feedback to brainstorm and implement effective solutions to problems encountered before opening the new emergency department. The iterative steps and targeted use of simulation resulted in redesigning departmental processes and actual clinical space while mitigating anticipated safety threats and departmental deficiencies. CONCLUSIONS Design thinking coupled with multimodal simulation across all phases of construction enhanced the design and testing of new clinical infrastructure. Applying this approach early, thoroughly, and efficiently will help healthcare organizations plan changes to clinical spaces.STUDY DESIGN. Retrospective analysis. OBJECTIVE. Our goal was to provide a predictive model and a risk classification system that predicts cancer-specific survival (CSS) from spinal bone tumors. SUMMARY OF BACKGROUND DATA Primary bone tumors of the spine are rare, thus limiting the understanding of the manifestations and survival from these tumors. Nomograms are the graphical representation of mathematical relationships or laws that accurately predict individual survival. METHODS A total of 1033 patients with spinal bone tumors between 2004 and 2016 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Multivariate Cox analysis were used on the training set to select significant predictors to build a nomogram that predicted 3- and 5-year CSS. We validate the precision of the nomogram by discrimination and calibration, and the clinical value of nomogram was assessed by making use of a decision curve analyses (DCA). RESULTS Data from 1033 patients with initially-diagnosed spinal bone tumors were extracted from the SEER database. Multivariate analysis of the training cohort, predictors included in the nomogram were age, pathological type, tumor stage, and surgery. The value of C-index was 0.711 and 0.743 for the internal and external validation sets, respectively, indicating good agreement with actual CSS. The internal and external calibration curves revealed good correlation of CSS between the actual observation and the nomogram. Then, the DCA showed greater net benefits than that of treat-all or treat-none at all time points. A novel risk grouping system was established for CSS that can readily divide all patients into three distinct risk groups. CONCLUSIONS The proposed nomogram obtained more precision prognostic prediction for patients with initially-diagnosed primary spinal bone tumors. LEVEL OF EVIDENCE 3.STUDY DESIGN A multi-centered retrospective review from five institutions OBJECTIVE. To determine if continuing or withholding disease-modifying antirheumatoid drugs (DMARDs) in the perioperative period affects outcomes in rheumatoid arthritis (RA) patients undergoing arthrodesis at the craniovertebral junction SUMMARY OF BACKGROUND DATA. RA is a chronic systemic inflammatory disease that affects the cervical spine and is treated with DMARDs. Some advocate withholding DMARDs in the perioperative period due to concern for the cytotoxic effects of these medications. However, the impact of DMARDs in the perioperative period is not well understood. METHODS A multi-center retrospective study from five affiliated institutions was performed, Adult patients with RA on chronic DMARDs undergoing posterior arthrodesis of the craniovertebral junction (occipital-cervical or atlanto-axial arthrodesis) were identified. Patients were stratified based on whether DMARD therapy was continued (C group) or discontinued (DC group) in the perioperative period.