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Zhang FG, Sheni R, Zhang C, Viswanathan S, Fiori K, Mehta V. Association Between Social Determinants of Health and Cancer Treatment Delay in an Urban Population. JCO Oncol Pract 2024:OP2400118. [PMID: 38959443 DOI: 10.1200/op.24.00118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/14/2024] [Accepted: 05/21/2024] [Indexed: 07/05/2024] Open
Abstract
PURPOSE Delays in oncologic time to treatment initiation (TTI) independently and adversely affect disease-specific mortality. Social Determinants of Health (SDoH) are increasingly recognized as significant contributors to patients' disease management and health outcomes. Our academic center has validated a 10-item SDoH screener, and we elucidated which specific needs may be predictive of delayed TTI. METHODS This is a retrospective cohort study at an urban academic center of patients with a SDoH screening and diagnosis of breast, colorectal, endocrine/neuroendocrine, GI, genitourinary, gynecologic, head and neck, hematologic, hepatobiliary, lung, or pancreatic cancer from 2018 to 2022. Variables of interest included household income, tumor stage, and emergency department (ED) or inpatient admission 30 days before diagnosis. Factors associated with delayed TTI ≥45 days were assessed using multivariable logistic regression. RESULTS Among 2,328 patients (mean [standard deviation] age, 64.0 (12.8) years; 66.6% female), having >1 unmet social need was associated with delayed TTI (odds ratio [OR], 1.68; 95% CI, 1.54 to 1.82). The disparities most associated with delay were legal help, transportation, housing stability, and needing to provide care for others. Those with ED (OR, 0.49; 95% CI, 0.44 to 0.54) or inpatient (OR, 0.54; 95% CI, 0.50 to 0.58) admission 30 days before diagnosis were less likely to experience delay. CONCLUSION Delays in oncologic TTI ≥45 days are independently associated with unmet social needs. ED or inpatient admissions before diagnosis increase care coordination, leading to improved TTI. Although limitations included the retrospective nature of the study and self-reporting bias, these findings more precisely identify targets for intervention that may more effectively decrease delay. Patients with SDoH barriers are at higher risk of treatment delay and could especially benefit from legal, transportation, caregiver, and housing assistance.
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Affiliation(s)
| | - Risha Sheni
- Albert Einstein College of Medicine, Bronx, NY
| | - Chenxin Zhang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Shankar Viswanathan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Kevin Fiori
- Department of Family and Social Medicine, Department of Pediatrics, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Vikas Mehta
- Department of Otorhinolaryngology-Head and Neck Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
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Taylor LL, Hong AS, Hahm K, Kim D, Smith-Morris C, Zaha VG. Health Literacy, Individual and Community Engagement, and Cardiovascular Risks and Disparities: JACC: CardioOncology State-of-the-Art Review. JACC CardioOncol 2024; 6:363-380. [PMID: 38983375 PMCID: PMC11229558 DOI: 10.1016/j.jaccao.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/13/2024] [Indexed: 07/11/2024] Open
Abstract
Cardiovascular and cancer outcomes intersect within the realm of cardio-oncology survivorship care, marked by disparities across ethnic, racial, social, and geographical landscapes. Although the clinical community is increasingly aware of this complex issue, effective solutions are trailing. To attain substantial public health impact, examinations of cancer types and cardiovascular risk mitigation require complementary approaches that elicit the patient's perspective, scale it to a population level, and focus on actionable population health interventions. Adopting such a multidisciplinary approach will deepen our understanding of patient awareness, motivation, health literacy, and community resources for addressing the unique challenges of cardio-oncology. Geospatial analysis aids in identifying key communities in need within both granular and broader contexts. In this review, we delineate a pathway that navigates barriers from individual to community levels. Data gleaned from these perspectives are critical in informing interventions that empower individuals within diverse communities and improve cardio-oncology survivorship.
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Affiliation(s)
| | - Arthur S Hong
- UT Southwestern Medical Center, Dallas, Texas, USA
- UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, Texas, USA
- UT Southwestern O'Donnell School of Public Health, Dallas, Texas, USA
| | - Kristine Hahm
- University of Texas at Dallas, Richardson, Texas, USA
| | - Dohyeong Kim
- University of Texas at Dallas, Richardson, Texas, USA
| | | | - Vlad G Zaha
- UT Southwestern Medical Center, Dallas, Texas, USA
- UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, Texas, USA
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Shen J, Clinton AJ, Penka J, Gregory ME, Sova L, Pfeil S, Patterson J, Maa T. Smartphone-Based Virtual and Augmented Reality Implicit Association Training (VARIAT) for Reducing Implicit Biases Toward Patients Among Health Care Providers: App Development and Pilot Testing. JMIR Serious Games 2024; 12:e51310. [PMID: 38488662 PMCID: PMC11004623 DOI: 10.2196/51310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 10/24/2023] [Accepted: 12/12/2023] [Indexed: 04/12/2024] Open
Abstract
Background Implicit bias is as prevalent among health care professionals as among the wider population and is significantly associated with lower health care quality. Objective The study goal was to develop and evaluate the preliminary efficacy of an innovative mobile app, VARIAT (Virtual and Augmented Reality Implicit Association Training), to reduce implicit biases among Medicaid providers. Methods An interdisciplinary team developed 2 interactive case-based training modules for Medicaid providers focused on implicit bias related to race and socioeconomic status (SES) and sexual orientation and gender identity (SOGI), respectively. The simulations combine experiential learning, facilitated debriefing, and game-based educational strategies. Medicaid providers (n=18) participated in this pilot study. Outcomes were measured on 3 domains: training reactions, affective knowledge, and skill-based knowledge related to implicit biases in race/SES or SOGI. Results Participants reported high relevance of training to their job for both the race/SES module (mean score 4.75, SD 0.45) and SOGI module (mean score 4.67, SD 0.50). Significant improvement in skill-based knowledge for minimizing health disparities for lesbian, gay, bisexual, transgender, and queer patients was found after training (Cohen d=0.72; 95% CI -1.38 to -0.04). Conclusions This study developed an innovative smartphone-based implicit bias training program for Medicaid providers and conducted a pilot evaluation on the user experience and preliminary efficacy. Preliminary evidence showed positive satisfaction and preliminary efficacy of the intervention.
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Affiliation(s)
- Jiabin Shen
- Department of Psychology, University of Massachusetts Lowell, Lowell, MA, United States
| | - Alex J Clinton
- Department of Psychology, University of Massachusetts Lowell, Lowell, MA, United States
| | | | - Megan E Gregory
- Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Lindsey Sova
- Center for Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, Ohio State University, Columbus, OH, United States
| | - Sheryl Pfeil
- College of Medicine, Ohio State University, Columbus, OH, United States
| | - Jeremy Patterson
- Advanced Computing Center for Arts and Design, Ohio State University, Columbus, OH, United States
| | - Tensing Maa
- Center for Clinical Excellence, Nationwide Children’s Hospital, Columbus, OH, United States
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Llanos AAM, Ashrafi A, Ghosh N, Tsui J, Lin Y, Fong AJ, Ganesan S, Heckman CJ. Evaluation of Inequities in Cancer Treatment Delay or Discontinuation Following SARS-CoV-2 Infection. JAMA Netw Open 2023; 6:e2251165. [PMID: 36637818 PMCID: PMC9856904 DOI: 10.1001/jamanetworkopen.2022.51165] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
IMPORTANCE There is a disproportionately greater burden of COVID-19 among Hispanic and non-Hispanic Black individuals, who also experience poorer cancer outcomes. Understanding individual-level and area-level factors contributing to inequities at the intersection of COVID-19 and cancer is critical. OBJECTIVE To evaluate associations of individual-level and area-level social determinants of health (SDOH) with delayed or discontinued cancer treatment following SARS-CoV-2 infection. DESIGN, SETTING, AND PARTICIPANTS This retrospective, registry-based cohort study used data from 4768 patients receiving cancer care who had positive test results for SARS-CoV-2 and were enrolled in the American Society for Clinical Oncology COVID-19 Registry. Data were collected from April 1, 2020, to September 26, 2022. EXPOSURES Race and ethnicity, sex, age, and area-level SDOH based on zip codes of residence at the time of cancer diagnosis. MAIN OUTCOMES AND MEASURES Delayed (≥14 days) or discontinued cancer treatment (any cancer treatment, surgery, pharmacotherapy, or radiotherapy) and time (in days) to restart pharmacotherapy. RESULTS A total of 4768 patients (2756 women [57.8%]; 1558 [32.7%] aged ≥70 years at diagnosis) were included in the analysis. There were 630 Hispanic (13.2%), 196 non-Hispanic Asian American or Pacific Islander (4.1%), 568 non-Hispanic Black (11.9%), and 3173 non-Hispanic White individuals (66.5%). Compared with non-Hispanic White individuals, Hispanic and non-Hispanic Black individuals were more likely to experience a delay of at least 14 days or discontinuation of any treatment and drug-based treatment; only estimates for non-Hispanic Black individuals were statistically significant, with correction for multiple comparisons (risk ratios [RRs], 1.35 [95% CI, 1.22-1.49] and 1.37 [95% CI, 1.23-1.52], respectively). Area-level SDOH (eg, geography, proportion of residents without health insurance or with only a high school education, lower median household income) were associated with delayed or discontinued treatment. In multivariable Cox proportinal hazards regression models, estimates suggested that Hispanic (hazard ratio [HR], 0.87 [95% CI, 0.71-1.05]), non-Hispanic Asian American or Pacific Islander (HR, 0.79 [95% CI, 0.46-1.35]), and non-Hispanic Black individuals (HR, 0.81 [95% CI, 0.67-0.97]) experienced longer delays to restarting pharmacotherapy compared with non-Hispanic White individuals. CONCLUSIONS AND RELEVANCE The findings of this cohort study suggest that race and ethnicity and area-level SDOH were associated with delayed or discontinued cancer treatment and longer delays to the restart of drug-based therapies following SARS-CoV-2 infection. Such treatment delays could exacerbate persistent cancer survival inequities in the United States.
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Affiliation(s)
- Adana A. M. Llanos
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York
| | - Adiba Ashrafi
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York
| | - Nabarun Ghosh
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey
| | - Jennifer Tsui
- Keck School of Medicine, University of Southern California, Los Angeles
| | - Yong Lin
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey
- Rutgers Cancer Institute of New Jersey, New Brunswick
| | - Angela J. Fong
- Rutgers Cancer Institute of New Jersey, New Brunswick
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Shridar Ganesan
- Rutgers Cancer Institute of New Jersey, New Brunswick
- Department of Medicine and Pharmacology, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Carolyn J. Heckman
- Rutgers Cancer Institute of New Jersey, New Brunswick
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
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Salomon RE, Dobbins S, Harris C, Haeusslein L, Lin CX, Reeves K, Richoux S, Roussett G, Shin J, Dawson-Rose C. Antiracist symptom science: A call to action and path forward. Nurs Outlook 2022; 70:794-806. [PMID: 36400578 PMCID: PMC10916506 DOI: 10.1016/j.outlook.2022.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 07/29/2022] [Accepted: 07/31/2022] [Indexed: 11/17/2022]
Abstract
Nurse scientists recognize the experience of racism as a driving force behind health. However, symptom science, a pillar of nursing, has rarely considered contributions of racism. Our objective is to describe findings within symptom science research related to racial disparities and/or experiences of racism and to promote antiracist symptom science within nursing research. In this manuscript, we use an antiracist lens to review a predominant symptom science theory and literature in three areas of symptom science research-oncology, mental health, and perinatal health. Finally, we make recommendations for increasing antiracist research in symptom science by altering (a) research questions, (b) recruitment methods, (c) study design, (d) data analysis, and (e) dissemination of findings. Traditionally, symptom science focuses on individual level factors rather than broader contexts driving symptom experience and management. We urge symptom science researchers to embrace antiracism by designing research with the specific intent of dismantling racism at multiple levels.
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Affiliation(s)
- Rebecca E Salomon
- The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
| | - Sarah Dobbins
- San Francisco Department of Public Health, San Francisco, California
| | | | | | - Chen-Xi Lin
- University of California, San Francisco, San Francisco, California
| | - Katie Reeves
- University of California, San Francisco, San Francisco, California
| | - Sarah Richoux
- University of California, San Francisco, San Francisco, California
| | - Greg Roussett
- University of California, San Francisco, San Francisco, California
| | - Joosun Shin
- University of California, San Francisco, San Francisco, California
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Abstract
The Oncology Nursing Society (ONS) has made marked contributions to the art and science of nursing, including establishment of resources and a community for oncology nurses across the United States. ONS's core values have evolved to innovation, excellence, advocacy, and inclusivity (ONS, 2021). While we know that these core values are, in virtue, admirable, there is a stark need to address another value-equity.
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Affiliation(s)
- Timiya S Nolan
- Arthur G. James Cancer Hospital and Richard J. Solove Research Institute
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