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1.
Pain Med ; 23(9): 1489-1528, 2022 08 31.
Article in English | MEDLINE | ID: covidwho-1699933

ABSTRACT

BACKGROUND: Increased utilization of telemedicine has created a need for supplemental pain medicine education, especially for the virtual physical assessment of the pain patient. Traditional clinical training utilizes manual and tactile approaches to the physical examination. Telemedicine limits this approach and thus alternative adaptations are necessary to acquire information needed for sound clinical judgement and development of a treatment plan. Clinical assessment of pain is often challenging given the myriad of underlying etiologies contributing to the sensory experience. The COVID-19 pandemic has led to a dramatic increase in the use of virtual and telemedicine visits, further complicating the ease of assessing patients in pain. The increased reliance on telemedicine visits requires clinicians to develop skills to obtain objective information from afar. While eliciting a comprehensive history and medication assessment are performed in a standard fashion via telemedicine, a virtual targeted physical examination is a new endeavor in our current times. In order to appropriately diagnose and treat patients not directly in front of you, a pivot in education adaptations are necessary. OBJECTIVE: To summarize best care practices in the telemedicine physical exam while presenting an algorithmic approach towards virtual assessment for the pain practitioner. DESIGN: Review of the literature and expert multidisciplinary panel opinion. SETTING: Nationally recognized academic tertiary care centers. SUBJECTS: Multidisciplinary academic experts in pain medicine. METHODS: Expert consensus opinion from the literature review. RESULTS: An algorithm for the virtual physical exam for pain physicians was created using literature review and multidisciplinary expert opinion. CONCLUSIONS: The authors here present simple, comprehensive algorithms for physical exam evaluations for the pain physician stemming from a review of the literature.


Subject(s)
COVID-19 , Telemedicine , Consensus , Humans , Pain , Pandemics , Physical Examination , SARS-CoV-2
2.
Hepatol Commun ; 6(1): 223-236, 2022 01.
Article in English | MEDLINE | ID: covidwho-1597246

ABSTRACT

Prognosis of hepatocellular carcinoma (HCC) could be affected by lack of or delayed therapy. We aimed to characterize the prevalence, correlates, and clinical impact of therapeutic underuse and delay in patients with HCC. Patients with HCC diagnosed between 2010 and 2017 were analyzed from the United States National Cancer Database. Logistic regression analysis identified factors associated with no and delayed (>90 days after diagnosis) HCC treatment. Cox proportional hazards regression with landmark analysis assessed the association between therapeutic delay and overall survival (OS), accounting for immortal time bias. Of 116,299 patients with HCC, 24.2% received no treatment and 18.4% of treated patients had delayed treatment. Older age, Black, Hispanic, lower socioeconomic status, earlier year of diagnosis, treatment at nonacademic centers, Northeast region, increased medical comorbidity, worse liver dysfunction, and higher tumor burden were associated with no treatment. Among treated patients, younger age, Hispanic, Black, treatment at academic centers, West region, earlier tumor stage, and receipt of noncurative treatment were associated with treatment delays. In multivariable Cox regression with a landmark of 150 days, patients with and without treatment delays had similar OS (adjusted hazard ratio [aHR], 1.01; 95% confidence interval [CI], 0.98-1.04) with a median survival of 33.7 vs. 32.1 months, respectively. However, therapeutic delay was associated with worse OS in patients who had tumor, nodes, and metastases (TNM) stage 1 (aHR, 1.06; 95% CI, 1.01-1.11) or received curative treatment (aHR, 1.12; 95% CI, 1.05-1.18). Conclusion: One-fourth of patients with HCC receive no therapy and one-fifth of treated patients experience treatment delays. Both were associated with demographic, socioeconomic, and clinical characteristics of patients as well as facility type and region. The association between therapeutic delay and survival was stage and treatment dependent.


Subject(s)
Carcinoma, Hepatocellular/therapy , Liver Neoplasms/therapy , Time-to-Treatment , Age of Onset , Aged , Carcinoma, Hepatocellular/epidemiology , Carcinoma, Hepatocellular/ethnology , Carcinoma, Hepatocellular/mortality , Female , Healthcare Disparities , Humans , Insurance Coverage , Insurance, Health , Liver Neoplasms/epidemiology , Liver Neoplasms/ethnology , Liver Neoplasms/mortality , Male , Middle Aged , Proportional Hazards Models , Social Class , Tumor Burden , United States/epidemiology
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