scholarly journals Bleeding Disorder Data Registry Reveals Racial/Ethnic Disparities That Could Significantly Impact Patient Journey

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 5004-5004
Author(s):  
Maria E Santaella ◽  
Michelle L Witkop ◽  
Cynthia Nichols ◽  
Rosaura Vidal ◽  
Leonard A. Valentino

Abstract Background: Community Voices in Research (CVR) is the National Hemophilia Foundation's community-powered registry designed to provide researchers with a firsthand, 360-degree view of what it means to live with an inherited bleeding disorder (IBD) by providing insight on a wide range of areas previously not evaluated or under-evaluated in this population. Since 2019, information has been collected from those with an IBD as well as their immediate family members/caregivers. Previous QOL data-collection efforts have been narrow in scope or duration and/or relied on HCP-reported data. The self-reported, confidential, de-identified aggregate CVR data are used to improve clinical outcomes and quality of life for people with IBDs and identify research questions important to the community. Methods : Participants complete an enrollment survey followed by the baseline then annual surveys. Additional surveys focused on specific areas of interest are issued periodically. Participants provide demographic data including race, ethnicity, level of education, household income, employment, and health-insurance status. External researchers of various collaborations may apply for access to the de-identified, aggregate data, launch individual surveys, or invite participants to virtual advisory panels. All research findings are communicated to its participants through a personalized CVR dashboard. Results : White/Caucasians make up 86.9% of registrants; (11.3%) include Black/African American; Asian; South Asian; Alaska Native; American Indian; Middle Eastern; and Native Hawaiian/Pacific Islander and any combination of those who identify as white/Caucasian plus another race; 1.8% indicated that their race was unknown or that they preferred not to answer. Ethnicity was reported as Hispanic/Latino(a) (51%), not Hispanic/Latino(a) (46.6%), and unknown/prefer not to answer (2.4%). Demographic data reveal significant disparities between white/Caucasian/non-Hispanic (WCNH) and other CVR participants in key social determinants of health, including education level, household income, employment, and health-insurance status. Tables 1-4 provide a detailed breakdown. Education: The majority of WCNH participants (64.2%) reported having college/graduate/professional-level education, while among others, most (59.4%) reported having a trade/vocational school-level education. Annual household income: The majority of WCNHs participants (57.5%) reported earnings between $50K-$149K. In contrast, the large majority (71.2%) of others reported earning $35K-$49K annually. For WCNHs participants, the midpoint of income range divided by number of people in the household was more than double that of other participants ($31,249 vs. $14,166). Employment: Significant differences between the groups in employment were seen. WCNH participants were more likely to be employed full-time (58.6%), disabled (30%), retired (30%), homemaker (15.7%), or a student (11.4%). Other participants were more likely to be employed part-time (32.5%) or unemployed (51.3%), or able to work but were unemployed (75.2%). Health insurance: A particularly stark disparity was noted in health-insurance type. Among WCNHs, 50.1% reported insurance through an employer or union, while only 15.8% of others fit this category. Among others, the majority (76.9%) reported enrollment in Medicaid or other public income-based insurance (vs. 13% of WCNHs). Conclusions: The demographic disparities between WCNHs and other participants in the CVR are critical and emphasize the need to focus on correlations between known social determinants of health and self-reported health outcomes and quality-of-life information. It is well known that education level and type of insurance, for example, can have a significantly negative impact on factors such as access to treatments and healthcare and medication adherence. CVR recruitment efforts must focus on enrolling racially and ethnically diverse participants to better understand their patient journey. This will enable the characterization of the links between racial/ethnic disparities and differences in access to care, quality of life, and related issues in the IBD community, and tailor education and advocacy efforts. As CVR data are extracted to answer a host of research questions, ensuring the inclusion of demographic disparities will benefit all members of the IBD community. Figure 1 Figure 1. Disclosures Witkop: Teralmmune, Inc.: Consultancy. Valentino: Spark: Ended employment in the past 24 months.

2016 ◽  
Vol 2 ◽  
pp. 233372141665356 ◽  
Author(s):  
Lauren J. Campbell ◽  
Xueya Cai ◽  
Shan Gao ◽  
Yue Li

2020 ◽  
pp. 073346482094665
Author(s):  
John R. Bowblis ◽  
Weiwen Ng ◽  
Odichinma Akosionu ◽  
Tetyana P. Shippee

This study examines the racial/ethnic disparity among nursing home (NH) residents using a self-reported, validated measure of quality of life (QoL) among long-stay residents in Minnesota. Blinder–Oaxaca decomposition techniques determine which resident and facility factors are the potential sources of the racial/ethnic disparities in QoL. Black, Indigenous, and other People of Color (BIPOC) report lower QoL than White residents. Facility structural characteristics and being a NH with a high proportion of residents who are BIPOC are the factors that have the largest explanatory share of the disparity. Modifiable characteristics like staffing levels explain a small share of the disparity. To improve the QoL of BIPOC NH residents, efforts need to focus on addressing systemic disparities for NHs with a high proportion of residents who are BIPOC.


2019 ◽  
Vol 28 (7) ◽  
pp. 1761-1771 ◽  
Author(s):  
Jan L. Wallander ◽  
Chris Fradkin ◽  
Marc N. Elliott ◽  
Paula M. Cuccaro ◽  
Susan Tortolero Emery ◽  
...  

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 12073-12073
Author(s):  
Wendy Landier ◽  
Chen Dai ◽  
Jessica Sparks ◽  
Katie Rose Anthony ◽  
Jeffrey S. Barrett ◽  
...  

12073 Background: Cancer treatment and its sequelae have been associated with financial toxicity in breast cancer survivors, particularly those who have no health insurance. However, the prevalence of financial toxicity in the insured survivors, and the underlying factors are not well understood. Methods: Breast cancer survivors attending a survivorship clinic (University of Alabama at Birmingham) completed a survey assessing demographics, financial toxicity (i.e., material resources; food/housing/energy insecurity), and health-related quality of life (HRQL: SF-36). Clinical characteristics were abstracted from medical records. A multivariable logistic regression model was developed to understand factors associated with financial toxicity; the model included survivor age, race, socioeconomic status, insurance type, marital status, cancer stage, time since diagnosis, current medications, and physical and mental domains of HRQL. Results: The 368 participants (1% male; 67% white, 25% African American, 8% other) were a median of 61y of age (range, 33-86y) and 4.3y post-diagnosis (1-34y) at survey completion; 90% had stage 0-II disease; 34% were single (not currently married/partnered); type of health insurance included private/military (57%), Medicare (39%), and Medicaid/self-pay (4%). Overall, 31% reported financial toxicity; 26% endorsed not being able to live at current standard of living > 2 mo. if they lost all current sources of income; 6% endorsed energy insecurity, 5% endorsed food insecurity, and 4% endorsed housing insecurity. In a multivariable model, financial toxicity was associated with age ≤60y at survey (Odds Ratio [OR] 5.1; 95% confidence interval [CI] 2.0-13.3); household income < $50K/y (OR 5.3; 95%CI 2.5-11.2); being single (OR 2.6; 95%CI 1.3-5.4); and lower physical (OR 2.6; 95%CI 1.2-5.4) and mental (OR 2.2; 95%CI 1.2-4.3) HRQL. Cancer stage, race, time from diagnosis, and insurance type were not associated with financial toxicity. The prevalence of financial toxicity among survivors who were single, ≤60y at survey, and with household income < $50k/y was 79.3%, compared with 6.7% among those who were older, married/partnered, and with higher income. Conclusions: Financial toxicity is prevalent among insured breast cancer survivors several years after cancer diagnosis, and is exacerbated among the younger survivors who are single, with low household income, and endorse poorer physical and mental quality of life. These findings inform the need to develop interventions to mitigate financial toxicity among at-risk breast cancer survivors.


2012 ◽  
Vol 12 (6) ◽  
pp. 532-538 ◽  
Author(s):  
Jan L. Wallander ◽  
Chris Fradkin ◽  
Alyna T. Chien ◽  
Sylvie Mrug ◽  
Stephen W. Banspach ◽  
...  

2010 ◽  
Vol 71 (2) ◽  
pp. 231-236 ◽  
Author(s):  
Sharon M. Smith ◽  
Deborah A. Dawson ◽  
Risë B. Goldstein ◽  
Bridget F. Grant

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 2254-2254
Author(s):  
Smita Bhatia ◽  
Liton Francisco ◽  
Andrea Carter ◽  
K. S. Baker ◽  
Stephen J. Forman ◽  
...  

Abstract We describe HRQL reported by adult survivors of autologous and allogeneic HCT and the risk factors associated with poor HRQL. Eligible subjects were individuals undergoing HCT at either City of Hope or the University of Minnesota between 1974 and 1998, and surviving two or more years after HCT. We analyzed the data from 1003 HCT survivors older than 21 years enrolled in a retrospective cohort study who had completed a validated City of Hope HCT-QOL tool. Of these, 54.5% were males, 80.2% were Caucasians, and 55% had received allogeneic HCT. The primary diagnoses included CML (n=233), AML (n=241), NHL (n=200), ALL (n=99), HD (n=88), and other (n=142). The median age at HCT was 35.4, median age at study participation: 43.4 years, and the median length of follow-up: 9.4 (2 to 28 years). Survivors’ responses were compared with those of the population norms in Physical, Psychological, Social and Spiritual domains, and overall quality of life (QOL). Poor QOL was defined as QOL scores less than two standard deviations below that reported for the tool norms. Using this definition, 9.2% of this cohort was identified to have poor overall QOL; 13.7% with poor Physical; 10% with poor Psychological; 6.7% with poor Social; and 4.3% with poor Spiritual well-being. Table below shows the results of the risk factors identified for poor QOL by multivariate analysis. Age, sex, type of HCT, and time since HCT were not associated with poor QOL. Thus, overall 9% of the long-term HCT survivors report poor overall QOL. Certain vulnerable sub-populations exist, specifically, low household income, difficulty in obtaining health insurance, inability to return to work, and the presence of pain and anxiety that impact upon the HRQL of this population, and require additional attention and possible intervention. Predictors of Poor Risk Factors for Poor QOL Overall QOL Physical Psychological Social Spiritual Relative Risk (p-value) Relative Risk (p-value) Relative Risk (p-value) Relative Risk (p-value) Relative Risk (p-value) Non-white race 2.1 (0.06) 2.4 (0.005) 1.6 (0.1) 2.0 (0.06) 0.5 (0.2) Inability to return to work 3.4 (0.003) 4.9 (<0.001) 3.6 (<0.001) 3.6 (0.002) 0.8 (0.7) Inability to return to school 2.4 (0.2) 4.6 (0.005) 5.2 (0.002) 1.1 (0.8) 0.9 (0.9) Difficulty in obtaining health insurance 1.7 (0.1) 1.9 (0.04) 0.9 (0.9) 3.6 (<0.001) 2.2 (0.05) Absence of health insurance 2.6 (0.05) 1.3 (0.6) 0.7 (0.5) 1.6 (0.4) 4.2 (0.005) Household income <$20k 3.0 (0.04) 0.9 (0.9) 4.4 (0.006) 2.2 (0.1) 3.1 (0.05) CGVHD 2.1 (0.02) 1.8 (0.02) 1.9 (0.04) 1.4 (0.3) 1.5 (0.3) Severe pain 8.8 (<0.001) 12.6 (<0.001) 2.4 (0.07) 5.4 (0.001) 2.8 (0.07) Severe anxiety 240.2 (<0.001) 5.3 (0.001) 60.2 (<0.001) 7.8 (<0.001) 19.7 (<0.001)


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18229-e18229
Author(s):  
Gustavo Fernandes Godoy Almeida ◽  
Mauricio Assuero Lima de Freitas ◽  
Marcela Silva Costa ◽  
Rafaela Batista da Silva Cordeiro ◽  
Evandro Lopes de Barros Filho ◽  
...  

e18229 Background: Cancer patients suffer from burden symptoms and adverse events which compromise quality-of-life. Early palliative care involvement of metastatic non-small cell lung cancer patients has demonstrated increased overall survival. Advanced Support for Quality-of-Life in Oncology - ASQO - addresses cancer and its treatment complications aiming a safe cure or symptom control and dignified death. Measure cancer patients' background and interest about their disease is critical for planning care. To study the point of view of cancer patients about ASQO and compare private and public Brazilian health insurance cancer patients. Methods: An interview was performed and SPSS was used to find means and rates. The protocol was approved by Federal University of Pernambuco ethics committee and all patients signed informed consent Results: 48 patients were interviewed, 28 at Hospital das Clinicas Federal University of Pernambuco and 20 at ÓNKOS Oncology. Attached tables show demographic data and patients’ background, interest and opinion. The topics on which more and less patients’ background were “Chances of cure” (85%) and “Fertility” (25%); Fertility (59%) and participation in clinical research (40%) were the subjects for which more and less patients wanted additional information; Among those patients who wanted additional information about any topic, the theme on which more and less comments were made were “Pain” (100%) and individualization of treatment (10%); Goals of treatment (89%) and fertility (41%) were the subjects that more and less patients were satisfied with the information received Conclusions: In Brazil, the majority of cancer patients don’t have the opportunity to discuss treatment goals and fertility is not widely discussed with them. This translated into highest percentage of interest in the subject and a higher degree of dissatisfaction with the information received, despite median age of 58 years in the study population. The high prevalence of uncontrolled pain reflected in 100% of responders have made additional comments, indicating a need for health professionals education to adequately manage this symptom. Clinical trial information: CAAE 50921215.8.0000.5208.


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