Impact of imbalanced gender participation in online myeloproliferative neoplasm symptom surveys

Autor: Blake Langlais, Gina L. Mazza, Robyn Marie Scherber, Holly Geyer, Krisstina L. Gowin, Jeanne Palmer, Heidi E. Kosiorek, Carolyn Mead-Harvey, Richard Butterfield, Ruben A. Mesa, Amylou C. Dueck
Rok vydání: 2022
Předmět:
Zdroj: Journal of Clinical Oncology. 40:e19078-e19078
ISSN: 1527-7755
0732-183X
DOI: 10.1200/jco.2022.40.16_suppl.e19078
Popis: e19078 Background: Patients with myeloproliferative neoplasms (MPN), including polycythemia vera (PV), essential thrombocythemia (ET), and myelofibrosis (MF), experience chronic disease-related symptoms. Surveying these patients while incorporating the MPN-Symptom Assessment Form (SAF) gains valuable insight. Independent surveys evaluating symptoms among MPN patients have seen disproportionate participation among females compared to males (upwards of 4:1). Though the general MPN patient population is roughly gender balanced, epidemiological studies show the occurrence of MPN types differ between men and women (MPN [%male]: PV [65%], ET [33%], MF [50%]. Mehta, et al. Leuk & Lymph 2014). In-clinic evaluations and international MPN surveys of disease-related symptoms suggest women report higher symptom burden on average compared to men, despite MPN type [Emanuel, et al. JCO 2012. Geyer, et al. Haematol 2017]. Further, a recent study across cancer trials showed women had a 34% increased risk of reporting severe symptoms [Unger, et al. JCO 2022]. This study aimed to evaluate gender imbalance in survey participation among MPN patient surveys and investigate its potential to overestimate symptom burden if gender is ignored. Methods: Five anonymous web-based surveys were used to assess the impact of disproportionate gender participation. The MPN-10 assessing the 10 most clinically meaningful SAF items was present in these surveys and generated the Total Symptom Score (TSS). Survey responses with no self-reported gender or ≥5 missing MPN-10 symptoms were excluded. Raking weights based on expected MPN population were applied at the survey- and MPN type-level. Relative bias of mean TSS was calculated to evaluate over- and underestimation due to this participation imbalance. Relative bias
Databáze: OpenAIRE
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