Browsing by Author "Roman, Matthew"
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Item Open Access Clustered clinical findings for diagnosis of cervical spine myelopathy.(The Journal of manual & manipulative therapy, 2010-12) Cook, Chad; Brown, Christopher; Isaacs, Robert; Roman, Matthew; Davis, Samuel; Richardson, WilliamCervical spine myelopathy (CSM) is a clinical diagnosis made with imaging confirmation. At present, most clinical tests used to identify CSM are specific and no clusters of tests have proven more beneficial than stand alone tests in guiding treatment decision making. This study endeavored to produce a cluster of predictive clinical findings for a sample of patients using a clinical diagnosis/imaging confirmation as the reference standard for cervical spine myelopathy. Data from 249 patients with various conditions associated with cervical spine dysfunction were analyzed to determine which clinical tests and measures, when clustered together, were most diagnostic for CSM. Using multivariate regression analyses and calculations for sensitivity, specificity, and positive and negative likelihood ratios, a definitive cluster was identified. Thirteen clinical findings were investigated for capacity to diagnosis CSM. Five clinical: (1) gait deviation; (2) +Hoffmann's test; (3) inverted supinator sign; (4) +Babinski test; and (5) age >45 years, were demonstrated the capacity when clustered into one of five positive tests to rule out CSM (negative likelihood ratio = 0.18; 95% CI = 0.12-0.42), and when clustered into three of five positive findings to rule in CSM (positive likelihood ratio = 30.9; 95% CI = 5.5-181.8). This study found clustered combinations of clinical findings that could rule in and rule out CSM. These clusters may be useful in identifying patients with this complex diagnosis in similar patient populations.Item Open Access Differences in comorbidities on low back pain and low back related leg pain.(Pain practice : the official journal of World Institute of Pain, 2011-01) Goode, Adam; Cook, Chad; Brown, Christopher; Isaacs, Robert; Roman, Matthew; Richardson, WilliamObjective
Investigate the influence of external factors such as depression and BMI among subjects with primary severe low back pain (LBP) and low back related leg pain (LBLP).Background
The report of disability in patients with LBP may be significantly influenced by confounding and moderating variables. No similar studies have examined the influence of these factors on LBLP.Methods
This study included 1,448 consecutive subjects referred to a tertiary spine clinic. Unconditional binary logistic regression was used to determine the influence of comorbidities on the relationship between self-reported back and leg pain. A change in estimate formula was used to quantify this relationship.Results
Among those subjects with primary LBP the unadjusted odds ratio was 8.58 (95% CI 4.87, 15.10) and when adjusting for BMI, depression and smoking was 5.94 (95% CI 3.04, 11.60) resulting in a 36.7% change due to confounding by these comorbidities. Among those with primary LBLP, the unadjusted odds ratio was 4.49 (95% CI 2.78, 7.27) and when adjusting for BMI and depression was 4.60 (95% CI 2.58, 8.19) resulting in a 1.7% change due to confounding by these comorbidities.Conclusion
The disability statuses of the patients with primary LBP in this study were more significantly affected by comorbidities of BMI, depression and smoking than patients with report of LBLP. However, these comorbidities contribute little to the relationship of primary low back related leg pain and Oswestry scores ≥ 40.Item Open Access Telehealth transformation: COVID-19 and the rise of virtual care.(Journal of the American Medical Informatics Association : JAMIA, 2020-06) Wosik, Jedrek; Fudim, Marat; Cameron, Blake; Gellad, Ziad F; Cho, Alex; Phinney, Donna; Curtis, Simon; Roman, Matthew; Poon, Eric G; Ferranti, Jeffrey; Katz, Jason N; Tcheng, JamesThe novel coronavirus disease-19 (COVID-19) pandemic has altered our economy, society, and healthcare system. While this crisis has presented the U.S. healthcare delivery system with unprecedented challenges, the pandemic has catalyzed rapid adoption of telehealth, or the entire spectrum of activities used to deliver care at a distance. Using examples reported by U.S. healthcare organizations, including ours, we describe the role that telehealth has played in transforming healthcare delivery during the 3 phases of the U.S. COVID-19 pandemic: (1) stay-at-home outpatient care, (2) initial COVID-19 hospital surge, and (3) postpandemic recovery. Within each of these 3 phases, we examine how people, process, and technology work together to support a successful telehealth transformation. Whether healthcare enterprises are ready or not, the new reality is that virtual care has arrived.Item Open Access The Association Between Sociodemographic Factors, Social Determinants of Health, and Spine Surgical Patient Portal Utilization.(Clinical spine surgery, 2023-10) Owolo, Edwin; Owolo, Edwin; Petitt, Zoey; Charles, Antoinette; Baëta, César; Poehlein, Emily; Green, Cynthia; Cook, Chad; Sperber, Jacob; Chandiramani, Anisha; Roman, Matthew; Goodwin, C Rory; Erickson, MelissaStudy design
Retrospective cohort study.Objective
To examine patient portal use among the surgical spine patient population across different sociodemographic groups and assess the impact of patient portal use on clinical outcomes.Summary of background data
Patient portals (PP) have been shown to improve outcomes and quality of care. Engaging them requires internet access, technological literacy, and dexterity, which may serve as access barriers.Methods
After exclusion criteria were applied, the study included data for 9211 encounters from 7955 patients. PP utilization was defined as having activated and used the Duke University Medical Center patient portal system, MyChart, at least once. Sociodemographic characteristics included urbanicity, age, race, ethnicity, language, employment, and primary insurer. Clinical outcomes included the length of hospital stay during the procedure, 30-day return to the emergency department, 30-day readmission, and being discharged somewhere other than home.Results
Being older than 65, non-White, unemployed, non-English-speaking, male, not-partnered, uninsured or publicly insured (Medicaid, Medicare and under 65 years of age, or other government insurance), and living in a rural environment were all risk factors for decreased PP utilization among surgical spine patients. A one-risk factor decrease in the number of social risk factors was associated with a 78% increase in the odds of PP utilization [odds ratio (OR): 1.78; 95% Confidence interval (CI): 1.69-1.87; P <0.001]. Patients not utilizing the portal at the time of their procedure had higher odds of 30-day readmission (OR: 1.59; 95% CI: 1.26-2.00), discharge somewhere other than home (OR: 2.41, 95% CI: 1.95-2.99), and an increased length of hospital stay (geometric mean ratio: 1.21; 95% CI: 1.12-1.30) compared with those who utilized it.Conclusions
In patients undergoing spine procedures, PPs are not equally utilized among different sociodemographic groups. PP utilization is also associated with better outcomes. Interventions aimed at increasing PP uptake may improve care for certain patients.Item Open Access The clinical value of a cluster of patient history and observational findings as a diagnostic support tool for lumbar spine stenosis.(Physiotherapy research international : the journal for researchers and clinicians in physical therapy, 2011-09) Cook, Chad; Brown, Christopher; Michael, Keith; Isaacs, Robert; Howes, Cameron; Richardson, William; Roman, Matthew; Hegedus, EricObjective
The study aims to create a diagnostic support tool to indicate the likelihood of the presence of lumbar spinal stenosis (LSS) using a cluster of elements from the patient history and observational findings.Design
The study is case based and case controlled.Setting
The study was performed in the tertiary care of a medical center.Subjects
There were a total of 1,448 patients who presented with a primary complaint of back pain with or without leg pain.Methods
All patients underwent a standardized clinical examination. The diagnosis of LSS was made by one of two experienced orthopaedic surgeons based on clinical findings and imaging. Data from the patient history and observational findings were then statistically analysed using bivariate analysis and contingency tables.Results
The most diagnostic combination included a cluster of: 1) bilateral symptoms; 2) leg pain more than back pain; 3) pain during walking/standing; 4) pain relief upon sitting; and 5) age>48 years. Failure to meet the condition of any one of five positive examination findings demonstrated a high sensitivity of 0.96 (95% CI=0.94-0.97) and a low negative likelihood ratio (LR-) of 0.19 (95% CI=0.12-0.29). Meeting the condition of four of five examination findings yielded a LR+ of 4.6 (95% CI=2.4-8.9) and a post-test probability of 76%.Conclusion
The high sensitivity of the diagnostic support tool provides the potential to reduce the incidence of unnecessary imaging when the diagnosis of LSS is statistically unlikely. In patients where the condition of four of the five findings was present, the post-test probability of 76% suggests that imaging and further workup are indicated. This is an inexpensive but powerful tool, with a potential to increase diagnostic efficiency and reduce cost by narrowing the indications for imaging.