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Full-Text Articles in Medicine and Health Sciences
Patients' Perceptions And Patient-Reported Outcomes In Progressive-Fibrosing Interstitial Lung Diseases, Jeffrey J. Swigris, Kevin K. Brown, Rayid Abdulqawi, Ketan Buch, Daniel F. Dilling, Dirk Koschel, Krishna Thavarajah, Rade Tomic, Yoshikazu Inoue
Patients' Perceptions And Patient-Reported Outcomes In Progressive-Fibrosing Interstitial Lung Diseases, Jeffrey J. Swigris, Kevin K. Brown, Rayid Abdulqawi, Ketan Buch, Daniel F. Dilling, Dirk Koschel, Krishna Thavarajah, Rade Tomic, Yoshikazu Inoue
Internal Medicine Faculty Publications
The effects of interstitial lung disease (ILD) create a significant burden on patients, unsettling almost every domain of their lives, disrupting their physical and emotional well-being and impairing their quality of life (QoL). Because many ILDs are incurable, and there are limited reliably-effective, life-prolonging treatment options available, the focus of many therapeutic interventions has been on improving or maintaining how patients with ILD feel and function, and by extension, their QoL. Such patient-centred outcomes are best assessed by patients themselves through tools that capture their perceptions, which inherently incorporate their values and judgements. These patient-reported outcome measures (PROs) can be …
Demographic, Presentation, And Treatment Factors And Racial Disparities In Ovarian Cancer Hospitalization Outcomes, Tomi F. Akinyemiju, Gurudatta Naik, Kemi Ogunsina, Daniel T. Dibaba, Neomi Vin-Raviv
Demographic, Presentation, And Treatment Factors And Racial Disparities In Ovarian Cancer Hospitalization Outcomes, Tomi F. Akinyemiju, Gurudatta Naik, Kemi Ogunsina, Daniel T. Dibaba, Neomi Vin-Raviv
Epidemiology and Environmental Health Faculty Publications
BACKGROUND: This study examines whether racial disparities in hospitalization outcomes persist between African-American and White women with ovarian cancer after matching on demographic, presentation, and treatment factors.
METHODS: Using data from the Nationwide Inpatient Sample database, 5,164 African-American ovarian cancer patients were sequentially matched with White patients on demographic (e.g., age, income), presentation (e.g., stage, comorbidities), and treatment (e.g., surgery, radiation) factors. Racial differences in-hospital length of stay, post-operative complications, and in-hospital mortality were evaluated using conditional logistic regression models.
RESULTS: White ovarian cancer patients had relatively higher odds of post-operative complications when matched on demographics (OR 1.35, 95% CI …