Patterns and prevalence of psychiatric morbidity among individuals with rheumatoid arthritis.

Introduction: Rheumatoid arthritis (RA) is a chronic autoimmune disorder that affects the joints, causing inflammation, pain, and potential joint damage. Patients with RA are at high risk of developing psychiatric morbidity; it is important to recognize these psychiatric manifestations. The relationship between psychiatric symptoms and RA is complex and can involve various factors, including the impact of chronic pain, inflammation, medications, and the overall burden of managing a chronic illness.Aim of the study was to systematically investigate and analyze the patterns and prevalence of psychiatric morbidity among individuals diagnosed with RA, with the aim of identifying common mental health conditions, understanding the interplay between RA and psychiatric disorders, and providing valuable insights for improved holistic patient care. Material and methods: This was a prospective, observational cross-sectional study conducted over a period of three years in patients with RA. Psychiatric morbidity was assessed using International Classification of Diseases-10 criteria and Mini-Plus by dedicated psychiatrists. The diagnosis of RA was confirmed using the 2010 American College of Rheumatology/European Alliance of Associations for Rheumatology (ACR/EULAR) diagnostic criteria for RA and the disease activity was calculated by Disease Activity Score with 28-joint count (DAS28) using the calculator from the RheumaHelper application. The data were analyzed using SPSS, version 23.0. Results: A total of 1,000 patients with RA were included in this study. Nearly two-thirds of the patients were female (64.8%). The majority of patients belonged to the age group of 41 to 54 years. Total 47.5% of the patients were unemployed, 27.0% were salaried, 19.0% were businessman, while 6.5% of the patients were students. More than half of the patients (53.2%) had moderate disease activity. Major depressive disorder was the most commonly observed comorbidity (41.0%), followed by somatoform disorder (28.5%), and generalized anxiety disorder was found in 13.5%. No psychiatric manifestations were found in 17% of studied individuals. Conclusions: Psychiatric morbidity is associated with RA and there is a need for psychiatric services to be made available to these patients.

Comparison of COVID-19 hospitalization costs across care pathways: a patient-level time-driven activity-based costing analysis in a Brazilian hospital.

BACKGROUND: The COVID-19 pandemic raised awareness of the need to better understand where and how patient-level costs are incurred in health care organizations, as health managers and other decision-makers need to plan and quickly adapt to the increasing demand for health care services to meet patients' care needs. Time-driven activity-based costing offers a better understanding of the drivers of cost throughout the care pathway, providing information that can guide decisions on process improvement and resource optimization. This study aims to estimate COVID-19 patient-level hospital costs and to evaluate cost variability considering the in-hospital care pathways of COVID-19 management and the patient clinical classification. METHODS: This is a prospective cohort study that applied time-driven activity-based costing (TDABC) in a Brazilian reference center for COVID-19. Patients hospitalized during the first wave of the disease were selected for their data to be analyzed to estimate in-hospital costs. The cost information was calculated at the patient level and stratified by hospital care pathway and Ordinal Scale for Clinical Improvement (OSCI) category. Multivariable analyses were applied to identify predictors of cost variability in the care pathways that were evaluated. RESULTS: A total of 208 patients were included in the study. Patients followed five different care pathways, of which Emergency + Ward was the most followed (n = 118, 57%). Pathways which included the intensive care unit presented a statistically significant influence on costs per patient (p <  0.001) when compared to Emergency + Ward. The median cost per patient was I$2879 (IQR 1215; 8140) and mean cost per patient was I$6818 (SD 9043). The most expensive care pathway was the ICU only, registering a median cost per patient of I$13,519 (IQR 5637; 23,373) and mean cost per patient of I$17,709 (SD 16,020). All care pathways that included the ICU unit registered a higher cost per patient. CONCLUSIONS: This is one of the first microcosting study for COVID-19 that applied the TDABC methodology and demonstrated how patient-level costs vary as a function of the care pathways followed by patients. These findings can be used to develop value reimbursement strategies that will inform sustainable health policies in middle-income countries such as Brazil.

Access denied: The relationship between patient insurance status and access to high-volume hospitals.

BACKGROUND: Underinsured patients face significant barriers in accessing high-quality care. Evidence of whether access to high-volume surgical care is mediated by disparities in health insurance coverage remains wanting. METHODS: The authors used the National Cancer Data Base to identify all adult patients who had a confirmed diagnosis of breast, prostate, lung, or colorectal cancer during 2004 through 2016. The odds of receiving surgical care at a high-volume hospital were estimated according to the type of insurance using multivariable logistic regression analyses for each malignancy. Then, the interactions between study period and insurance status were assessed. RESULTS: In total, 1,279,738 patients were included in the study. Of these, patients with breast cancer who were insured by Medicare (odds ratio [OR], 0.75; P < .001), Medicaid (OR, 0.55; P < .001), or uninsured (OR, 0.50; P < .001); patients with prostate cancer who were insured by Medicare (OR, 0.87; P = .003), Medicaid (OR, 0.58; P = .001), or uninsured (OR, 0.36; P < .001); and patients with lung cancer who were insured by Medicare (OR, 0.84; P = .020), Medicaid (OR, 0.74; P = .001), or uninsured (OR, 0.48; P < .001) were less likely to receive surgical care at high-volume hospitals compared with patients who had private insurance. For patients with colorectal cancer, the effect of insurance differed by study period, and improved since 2011. For those on Medicaid, the odds of receiving care at a high-volume hospital were 0.51 during 2004 through 2007 and 0.99 during 2014 through 2016 (P for interaction = .001); for uninsured patients, the odds were 0.45 during 2004 through 2007 and 1.19 during 2014 through 2016 (P for interaction < .001) compared with patients who had private insurance. CONCLUSIONS: Uninsured, Medicare-insured, and Medicaid-insured patients are less likely to receive surgical care at high-volume hospitals. For uninsured and Medicaid-insured patients with colorectal cancer, the odds of receiving care at high-volume hospitals have improved since implementation of the Patient Protection and Affordable Care Act of 2010.

Thyroid hormone levels and Thyroid Hormone Levels and Ultrasonographic Changes in the Thyroid Gland of Patients on Long-Term Lithium Treatment for Affective Disorders: A Controlled Study.

BACKGROUND: Although lithium is known to cause thyroid dysfunction and increased thyroid gland volume, clinical examination and biochemical assessment are fundamental to thyroid workup of patients on lithium treatment. We aimed to determine thyroid gland volume and the Thyroid hormone levels of patients who have been receiving lithium treatment for affective disorders in comparison to voluntary healthy controls. METHODS: This was a cross-sectional, hospital-based observational study which was performed in 43 patients on long-term lithium treatment for bipolar disorder, major depressive and schizoaffective disorders. Patients with documented continuous and adequate serum lithium levels for more than or equal to 6 months recruited consecutively underwent the ultrasonographic examination of the thyroid gland. Ultrasonographic examinations were also done in all gender- and age-matched healthy controls. All cases and controls underwent biochemical thyroid function tests. RESULTS: There were no statistically significant differences in gender (P = 0.198; Chi-square = 1.654) of cases and controls. Most of the cases were married, maximum number of them unemployed and belonged to the lower socioeconomic status. Total thyroid volume was significantly greater in the lithium-treated group than the controls (9.40 ± 1.41 vs. 4.79 ± 0.45). Clinical inspection and palpation only detected goiter in six (n = 6, 13.95%) of patients on lithium and none among controls. The mean triiodothyronine, mean thyroxine, and mean scores for thyroid-stimulating hormone were significantly increased in patients receiving lithium therapy as compared to controls. CONCLUSION: It would seem wise from a clinical point of view to include ultrasonographic examination of the thyroid gland as part of the standard thyroid workup before initiating lithium treatment.

Impact of tumor, treatment, and access on outcomes in bladder cancer: Can equal access overcome race-based differences in survival?

BACKGROUND: There are race-based differences in bladder cancer survival. To better understand this phenomenon, this study was designed to assess the statistical contributions of tumor, treatment, and access variables to race-based differences in survival. METHODS: Data were extracted from the National Cancer Data Base on black and white adults with muscle-invasive bladder cancer from 2004 to 2015. The impact of tumor, access, and treatment variables on differences in survival was inferred by the performance of sequential propensity score-weighted analyses in which black and white patients were balanced with respect to demographics and health status (comorbidities) tumor characteristics, treatment, and access-related variables. The propensity score-weighted hazard of death (black vs white) was calculated after each iteration. RESULTS: This study identified 44,577 patients with a median follow-up of 77 months. After demographics and health status were balanced, black race was associated with 18% worse mortality (hazard ratio, 1.18; 95% confidence interval [CI], 1.12-1.25; P < .001). Balancing by tumor characteristics reduced this to 16%, balancing by treatment reduced this to 10%, and balancing by access-related variables resulted in no difference. Access-related variables explained 40% (95% CI, 22.9%-57.0%) of the excess risk of death in blacks, whereas treatment factors explained 35% (95% CI, 22.2%-46.9%). The contribution of tumor characteristics was not significant. CONCLUSIONS: In the models, differences in survival for black and white patients with bladder cancer are best explained by disparities in access and treatment, not tumor characteristics. Access to care is likely a key factor in racial disparities in cancer.