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White LL, Burnett-Hartman AN, Ichikawa LE, Goldberg SR, Chubak J, Spencer Feigelson H, Kamineni A. SARS-CoV-2 Infection and Related Hospitalization among Cancer Survivors. Cancer Epidemiol Biomarkers Prev 2024; 33:442-444. [PMID: 38126877 DOI: 10.1158/1055-9965.epi-23-1303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/30/2023] [Accepted: 12/19/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Little is known about SARS-CoV-2 infection and COVID-19 severity among a growing population of cancer survivors. We describe the association of infection and related hospitalization by recency of cancer diagnosis in a large U.S. cohort. METHODS Participants were sent electronic surveys between April 2020 and January 2021 to collect information on SARS-CoV-2 infection and potential COVID-19-related risk factors. SARS-CoV-2 infections were identified using survey report of a COVID-19-positive test and electronic health record data. Cumulative incidence of SARS-CoV-2 infection was estimated up to 365 days from baseline survey and stratified by recency of cancer diagnosis. Among those with SARS-CoV-2 infection, we used logistic regression to estimate the association between recency of cancer diagnosis and hospitalization within 30 days of infection. RESULTS Cumulative incidence of SARS-CoV-2 infection at 365 days was 3.3% [95% confidence interval (CI), 3.2%-3.5%] among those without cancer history and ranged from 2.8% (95% CI, 2.3%-3.5%) to 3.7% (95% CI, 2.9%-4.7%) among those with a history of cancer depending on recency. There was no statistically significant difference in odds of hospitalization within 30 days following SARS-CoV-2 infection by cancer diagnosis recency. CONCLUSIONS Our null findings are consistent with other studies on COVID-19 infection risk in cancer survivors, where COVID-19 severity and sequelae were independent of cancer history and were likely associated with factors such as intensive care unit admission, noncancer comorbid conditions, and long-term care residency. IMPACT This study can inform COVID-19 risk-counseling of cancer survivors and their caregivers as we continue to contend with COVID-19.
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Affiliation(s)
- Larissa L White
- Kaiser Permanente Colorado Institute for Health Research, Aurora, Colorado
| | | | - Laura E Ichikawa
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Shauna R Goldberg
- Kaiser Permanente Colorado Institute for Health Research, Aurora, Colorado
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | | | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
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2
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Zhang Z, Shafer A, Johnson-Camacho K, Adey A, Anur P, Brown KA, Conrad C, Crist R, Farris PE, Harrington CA, Marriott LK, Mitchell A, O’Roak B, Serrato V, Richards CS, Spellman PT, Shannon J. Novel recruitment approaches and operational results for a statewide population Cohort for cancer research: The Healthy Oregon Project. J Clin Transl Sci 2024; 8:e32. [PMID: 38384895 PMCID: PMC10880011 DOI: 10.1017/cts.2024.9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 12/13/2023] [Accepted: 01/08/2024] [Indexed: 02/23/2024] Open
Abstract
Background Cancer health research relies on large-scale cohorts to derive generalizable results for different populations. While traditional epidemiological cohorts often use costly random sampling or self-motivated, preselected groups, a shift toward health system-based cohorts has emerged. However, such cohorts depend on participants remaining within a single system. Recent consumer engagement models using smartphone-based communication, driving projects, and social media have begun to upend these paradigms. Methods We initiated the Healthy Oregon Project (HOP) to support basic and clinical cancer research. HOP study employs a novel, cost-effective remote recruitment approach to effectively establish a large-scale cohort for population-based studies. The recruitment leverages the unique email account, the HOP website, and social media platforms to direct smartphone users to the study app, which facilitates saliva sample collection and survey administration. Monthly newsletters further facilitate engagement and outreach to broader communities. Results By the end of 2022, the HOP has enrolled approximately 35,000 participants aged 18-100 years (median = 44.2 years), comprising more than 1% of the Oregon adult population. Among those who have app access, ∼87% provided consent to genetic screening. The HOP monthly email newsletters have an average open rate of 38%. Efforts continue to be made to improve survey response rates. Conclusion This study underscores the efficacy of remote recruitment approaches in establishing large-scale cohorts for population-based cancer studies. The implementation of the study facilitates the collection of extensive survey and biological data into a repository that can be broadly shared and supports collaborative clinical and translational research.
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Affiliation(s)
- Zhenzhen Zhang
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Autumn Shafer
- School of Journalism and Communication, University of Oregon, Eugene, OR, USA
| | - Katie Johnson-Camacho
- Department of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Andrew Adey
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, USA
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
| | - Pavana Anur
- Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Kim A. Brown
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR, USA
| | - Casey Conrad
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Rachel Crist
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Paige E. Farris
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA
| | - Christina A. Harrington
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
- Gene Profiling Shared Resource, Oregon Health & Science University, Portland, OR, USA
| | - Lisa K. Marriott
- OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA
| | - Asia Mitchell
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
| | - Brian O’Roak
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
| | - Vanessa Serrato
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - C. Sue Richards
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
- Knight Diagnostic Laboratories, Oregon Health & Science University, Portland, OR, USA
| | - Paul T. Spellman
- Department of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Jackilen Shannon
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, USA
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3
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Allen NE, Lacey B, Lawlor DA, Pell JP, Gallacher J, Smeeth L, Elliott P, Matthews PM, Lyons RA, Whetton AD, Lucassen A, Hurles ME, Chapman M, Roddam AW, Fitzpatrick NK, Hansell AL, Hardy R, Marioni RE, O’Donnell VB, Williams J, Lindgren CM, Effingham M, Sellors J, Danesh J, Collins R. Prospective study design and data analysis in UK Biobank. Sci Transl Med 2024; 16:eadf4428. [PMID: 38198570 PMCID: PMC11127744 DOI: 10.1126/scitranslmed.adf4428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 12/13/2023] [Indexed: 01/12/2024]
Abstract
Population-based prospective studies, such as UK Biobank, are valuable for generating and testing hypotheses about the potential causes of human disease. We describe how UK Biobank's study design, data access policies, and approaches to statistical analysis can help to minimize error and improve the interpretability of research findings, with implications for other population-based prospective studies being established worldwide.
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Affiliation(s)
- Naomi E Allen
- UK Biobank Ltd, Stockport, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ben Lacey
- UK Biobank Ltd, Stockport, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Deborah A Lawlor
- Population Health Science, Bristol Medical School University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, Scotland
| | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
- Dementias Platform UK, Department of Psychiatry, University of Oxford, Oxford, UK
| | - Liam Smeeth
- London School of Hygiene and Tropical Medicine, London, UK
| | - Paul Elliott
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- NIHR Health Protection Research Unit in Chemical Radiation Threats and Hazards, Imperial College London, UK
| | - Paul M Matthews
- UK Dementia Research Centre Institute and Department of Brain Sciences, Imperial College London, London, UK
| | - Ronan A Lyons
- Population Data Science, Swansea University Medical School, Swansea, Wales
| | - Anthony D Whetton
- Veterinary Health Innovation Engine, University of Surrey, Guildford, UK
| | - Anneke Lucassen
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Faculty of Medicine, Southampton University, Southampton, UK
| | - Matthew E Hurles
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | | | | | - Anna L Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Rebecca Hardy
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland
| | | | - Julie Williams
- UK Dementia Research Institute, Cardiff University, Cardiff, Wales
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | | | | | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Rory Collins
- UK Biobank Ltd, Stockport, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
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4
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Chae A, Yao MS, Sagreiya H, Goldberg AD, Chatterjee N, MacLean MT, Duda J, Elahi A, Borthakur A, Ritchie MD, Rader D, Kahn CE, Witschey WR, Gee JC. Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology. Radiology 2024; 310:e223170. [PMID: 38259208 PMCID: PMC10831483 DOI: 10.1148/radiol.223170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 08/24/2023] [Accepted: 08/29/2023] [Indexed: 01/24/2024]
Abstract
Despite recent advancements in machine learning (ML) applications in health care, there have been few benefits and improvements to clinical medicine in the hospital setting. To facilitate clinical adaptation of methods in ML, this review proposes a standardized framework for the step-by-step implementation of artificial intelligence into the clinical practice of radiology that focuses on three key components: problem identification, stakeholder alignment, and pipeline integration. A review of the recent literature and empirical evidence in radiologic imaging applications justifies this approach and offers a discussion on structuring implementation efforts to help other hospital practices leverage ML to improve patient care. Clinical trial registration no. 04242667 © RSNA, 2024 Supplemental material is available for this article.
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Affiliation(s)
| | | | - Hersh Sagreiya
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Ari D. Goldberg
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Neil Chatterjee
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Matthew T. MacLean
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Jeffrey Duda
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Ameena Elahi
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Arijitt Borthakur
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Marylyn D. Ritchie
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Daniel Rader
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
| | - Charles E. Kahn
- From the Departments of Bioengineering (M.S.Y.), Radiology (H.S.,
N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and
Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K.,
W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd,
Philadelphia, PA 19104; Department of Radiology, Loyola University Medical
Center, Maywood, Ill (A.D.G.); Department of Information Services, University of
Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health
Economics, University of Pennsylvania, Philadelphia, Pa (A.B.)
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White LL, Goldberg SR, Spencer Feigelson H, Burnett-Hartman AN. Depression, anxiety, & loneliness among cancer survivors during the COVID-19 pandemic. J Psychosoc Oncol 2023; 42:242-255. [PMID: 37486169 DOI: 10.1080/07347332.2023.2238192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
PURPOSE To assess the impact of the COVID-19 pandemic on depression, anxiety, and loneliness between those with and without a history of cancer. DESIGN This prospective observational study used a quantitative approach. PARTICIPANTS Adult members of the Kaiser Permanente Research Bank (N = 104,640). METHODS Participants completed a series of surveys from May to December 2020. The difference in score of depression, anxiety, and loneliness were estimated using linear mixed regression. FINDINGS Among cancer survivors, 21% and 19% met the thresholds for increased risk of depression and anxiety. Among cancer survivors, younger age groups and females reported increased depression, anxiety, and loneliness scores. CONCLUSIONS This study highlights the continued necessity of addressing mental health needs and social support in cancer survivors during and after a public health emergency. IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS Cancer survivors may need particular resources after cancer treatment to strengthen resilience and improve quality of life.
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Affiliation(s)
- Larissa Lee White
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA
| | - Shauna R Goldberg
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA
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6
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Kelly C, White LL, Scott SG, Feigelson HS, Burnett-Hartman AN. Social risk factors among individuals with a history of cancer during the COVID-19 pandemic. J Cancer Surviv 2023; 17:309-317. [PMID: 35921058 PMCID: PMC9362166 DOI: 10.1007/s11764-022-01235-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/08/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE The coronavirus disease (COVID-19) pandemic and its economic consequences may disproportionately impact cancer survivors and their overall health-related quality of life. The objective of this study was to examine whether cancer survivors experienced higher levels of financial strain or food insecurity compared to those without a history of cancer. METHODS Kaiser Permanente Research Bank (KPRB) study participants were invited to complete a series of electronic surveys starting April 2020 to assess the impact of the COVID-19 pandemic. Participants who completed the initial survey and one follow-up survey were included. The odds of financial strain and food insecurity in those with and without a history of cancer were estimated using multinomial logistic regression. RESULTS Cancer survivors (n = 16,231) had lower odds of reporting "somewhat hard" (AOR = 0.77) and "very hard" (AOR = 0.67) financial strain, and food insecurity "sometimes" (AOR = 0.70) and "often" (AOR = 0.55) compared to those with no history of cancer (n = 88,409). Non-Hispanic (NH) Black and Hispanic cancer survivors had higher odds compared to NH Whites of reporting financial strain and food insecurity. Smokers and those with multiple comorbidities had higher odds of reporting financial strain and food insecurity among cancer survivors. CONCLUSIONS While cancer survivors overall did not report greater financial strain or food insecurity than individuals without a history of cancer, subsets of cancer survivors are experiencing greater social risks during the pandemic and should be prioritized for screening for social risk factors. IMPLICATIONS FOR CANCER SURVIVORS Incorporating screening for social risk factors into care coordination workflows for subsets of cancer survivors should be a priority.
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Affiliation(s)
- Cheryl Kelly
- Institute for Health Research, Kaiser Permanente Colorado, 2550 S Parker Rd, Ste 200, Aurora, CO, 80014, USA.
| | - Larissa Lee White
- Institute for Health Research, Kaiser Permanente Colorado, 2550 S Parker Rd, Ste 200, Aurora, CO, 80014, USA
| | - Shauna Goldberg Scott
- Institute for Health Research, Kaiser Permanente Colorado, 2550 S Parker Rd, Ste 200, Aurora, CO, 80014, USA
| | - Heather Spencer Feigelson
- Institute for Health Research, Kaiser Permanente Colorado, 2550 S Parker Rd, Ste 200, Aurora, CO, 80014, USA
| | - Andrea N Burnett-Hartman
- Institute for Health Research, Kaiser Permanente Colorado, 2550 S Parker Rd, Ste 200, Aurora, CO, 80014, USA
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