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Avila JC, Flores EJ, Su YJ, Haas JS, Park ER, Rigotti NA. Association of individual and neighborhood socioeconomic status with outcomes of a smoking cessation intervention provided in the lung cancer screening setting. Prev Med 2025; 191:108207. [PMID: 39694102 PMCID: PMC11776097 DOI: 10.1016/j.ypmed.2024.108207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Academic Contribution Register] [Received: 09/06/2024] [Revised: 12/09/2024] [Accepted: 12/11/2024] [Indexed: 12/20/2024]
Abstract
BACKGROUND Lung cancer screening (LCS) offers a teachable moment for smoking cessation. This study assesses whether individual- or neighborhood-level SES is associated with tobacco abstinence and completion of a smoking cessation intervention in the LCS context. METHODS Secondary analysis of a clinical trial (NCT03611881) that tested the effectiveness of smoking cessation treatment for smokers scheduled for LCS (N = 615) in eastern Massachusetts, USA from 2019 to 2024. Outcomes were self-reported 7-day smoking abstinence and study follow-up completion at 6-months. Independent variables were individual SES (high school or less [low SES] vs. post-high school education [high SES]); neighborhood SES (Area Deprivation Index [ADI], range: 0-100, categorized as: highest 15 % [low SES] vs. remaining 85 % scores [high SES]), and a combination of both measures. Logistic regression models tested the association between outcomes and SES measures, adjusted for covariates. RESULTS 32 % of participants had low individual SES. The mean sample ADI was 19.9 (SD: 12.8). Smoking cessation was higher among those with high vs. low neighborhood SES (15.7 % vs. 7.4 %, p-value = 0.03). Study completion was marginally higher among those with high vs. low individual SES (84.5 % vs. 78.1 %, p = 0.05). In multivariable models, these associations were not significant, but individuals with high individual and low neighborhood SES were more likely to complete the study than those with both low individual and low neighborhood SES, (OR: 6.04, 95 %CI: 1.47-24.7). CONCLUSION Individual and neighborhood SES were not independently associated with the study outcomes in the multivariable analysis, but combinations of individual and neighborhood SES differentially affected treatment completion.
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Affiliation(s)
- Jaqueline C Avila
- University of Massachusetts Boston, Manning College of Nursing and Health Sciences, Department of Gerontology, Boston, MA, USA; Tobacco Research and Treatment Center, Department of Medicine, and Mongan Institute, Massachusetts General Hospital, Boston, MA, USA.
| | - Efren J Flores
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Yan-Jhu Su
- University of Massachusetts Boston, Manning College of Nursing and Health Sciences, Department of Gerontology, Boston, MA, USA
| | - Jennifer S Haas
- Harvard Medical School, Boston, MA, USA; Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Elyse R Park
- Harvard Medical School, Boston, MA, USA; Tobacco Research and Treatment Center, Department of Medicine, and Mongan Institute, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry (Psychology), Massachusetts General Hospital, Boston, MA, USA
| | - Nancy A Rigotti
- Harvard Medical School, Boston, MA, USA; Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Tobacco Research and Treatment Center, Department of Medicine, and Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
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2
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El-Abtah ME, Karimi AH, Francis JJ, Shepherd J, Shah V, Einstadter D, Perzynski AT, Roach MJ, Kelly ML. Neighborhood Deprivation is Associated With Hospital Length of Stay, Discharge Disposition, and Readmission Rates for Patients Who Survive Hospitalization With Traumatic Brain Injury. Neurosurgery 2025; 96:59-68. [PMID: 38847527 DOI: 10.1227/neu.0000000000003022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 12/21/2023] [Accepted: 04/14/2024] [Indexed: 12/17/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Traumatic brain injury (TBI) is a leading cause of disability in the United States. Limited research exists on the influence of area-level socioeconomic status and outcomes after TBI. This study investigated the correlation between the Area Deprivation Index (ADI) and (1) 90-day hospital readmission rates, (2) facility discharge, and (3) prolonged (≥5 days) hospital length of stay (LOS). METHODS Single-center retrospective review of adult (18 years or older) patients who were admitted for TBI during 2018 was performed. Patients were excluded if they were admitted for management of a chronic or subacute hematoma. We extracted relevant clinical and demographic data including sex, comorbidities, age, body mass index, smoking status, TBI mechanism, and national ADI. We categorized national ADI rankings into quartiles for analysis. Univariate, multivariate, and area under the receiver operating characteristic curve (AUROC) analyses were performed to assess the relationship between ADI and 90-day readmission, hospital LOS, and discharge disposition. RESULTS A total of 523 patients were included in final analysis. Patients from neighborhoods in the fourth ADI quartile were more likely to be Black ( P = .007), have a body mass index ≥30 kg/m 2 ( P = .03), have a Charlson Comorbidity Index ≥5 ( P = .004), and have sustained a penetrating TBI ( P = .01). After controlling for confounders in multivariate analyses, being from a neighborhood in the fourth ADI quartile was independently predictive of 90-day hospital readmission (odds ratio [OR]: 1.35 [1.12-1.91], P = .011) (model AUROC: 0.82), discharge to a facility (OR: 1.46 [1.09-1.78], P = .03) (model AUROC: 0.79), and prolonged hospital LOS (OR: 1.95 [1.29-2.43], P = .015) (model AUROC: 0.85). CONCLUSION After adjusting for confounders, including comorbidities, TBI mechanism/severity, and age, higher ADI was independently predictive of longer hospital LOS, increased risk of 90-day readmission, and nonhome discharge. These results may help establish targeted interventions to identify at-risk patients after TBI.
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Affiliation(s)
- Mohamed E El-Abtah
- Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
| | - Amir H Karimi
- Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
| | - John J Francis
- Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
| | - Jerry Shepherd
- Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
| | - Varunil Shah
- Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
| | - Douglas Einstadter
- MetroHealth Medical Center, Population Health Research Institute, Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
| | - Adam T Perzynski
- MetroHealth Medical Center, Population Health Research Institute, Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
| | - Mary J Roach
- MetroHealth Medical Center, Population Health Research Institute, Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
- Department of Physical Medicine and Rehabilitation, Case Western Reserve University School of Medicine, Cleveland , Ohio , USA
| | - Michael L Kelly
- Department of Neurological Surgery, Case Western Reserve University School of Medicine MetroHealth Medical Center, Cleveland , Ohio , USA
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3
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Tohmasi S, Eaton DB, Heiden BT, Rossetti NE, Baumann AA, Thomas TS, Schoen MW, Chang SH, Seyoum N, Yan Y, Patel MR, Brandt WS, Meyers BF, Kozower BD, Puri V. Impact of Socioeconomic Deprivation on Care Quality and Surgical Outcomes for Early-Stage Non-Small Cell Lung Cancer in United States Veterans. Cancers (Basel) 2024; 16:3788. [PMID: 39594743 PMCID: PMC11593132 DOI: 10.3390/cancers16223788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 09/29/2024] [Revised: 11/06/2024] [Accepted: 11/06/2024] [Indexed: 11/28/2024] Open
Abstract
Background: Socioeconomic deprivation has been associated with higher lung cancer risk and mortality in non-Veteran populations. However, the impact of socioeconomic deprivation on outcomes for non-small cell lung cancer (NSCLC) in an integrated and equal-access healthcare system, such as the Veterans Health Administration (VHA), remains unclear. Hence, we investigated the impact of area-level socioeconomic deprivation on access to care and postoperative outcomes for early-stage NSCLC in United States Veterans. Methods: We conducted a retrospective cohort study of patients with clinical stage I NSCLC receiving surgical treatment in the VHA between 1 October 2006 and 30 September 2016. A total of 9704 Veterans were included in the study and assigned an area deprivation index (ADI) score, a measure of socioeconomic deprivation incorporating multiple poverty, education, housing, and employment indicators. We used multivariable analyses to evaluate the relationship between ADI and postoperative outcomes as well as adherence to guideline-concordant care quality measures (QMs) for stage I NSCLC in the preoperative (positron emission tomography [PET] imaging, appropriate smoking management, pulmonary function testing [PFT], and timely surgery [≤12 weeks after diagnosis]) and postoperative periods (appropriate surveillance imaging, smoking management, and oncology referral). Results: Compared to Veterans with low socioeconomic deprivation (ADI ≤ 50), those residing in areas with high socioeconomic deprivation (ADI > 75) were less likely to have timely surgery (multivariable-adjusted odds ratio [aOR] 0.832, 95% confidence interval [CI] 0.732-0.945) and receive PET imaging (aOR 0.592, 95% CI 0.502-0.698) and PFT (aOR 0.816, 95% CI 0.694-0.959) prior to surgery. In the postoperative period, Veterans with high socioeconomic deprivation had an increased risk of 30-day readmission (aOR 1.380, 95% CI 1.103-1.726) and decreased odds of meeting all postoperative care QMs (aOR 0.856, 95% CI 0.750-0.978) compared to those with low socioeconomic deprivation. There was no association between ADI and overall survival (adjusted hazard ratio [aHR] 0.984, 95% CI 0.911-1.062) or cumulative incidence of cancer recurrence (aHR 1.047, 95% CI 0.930-1.179). Conclusions: Our results suggest that Veterans with high socioeconomic deprivation have suboptimal adherence to care QMs for stage I NSCLC yet do not have inferior long-term outcomes after curative-intent resection. Collectively, these findings demonstrate the efficacy of an integrated, equal-access healthcare system in mitigating disparities in lung cancer survival that are frequently present in other populations. Future VHA policies should continue to target increasing adherence to QMs and reducing postoperative readmission for socioeconomically disadvantaged Veterans with early-stage NSCLC.
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Affiliation(s)
- Steven Tohmasi
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Daniel B. Eaton
- Veterans Affairs St. Louis Health Care System, St. Louis, MO 63110, USA
| | - Brendan T. Heiden
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Nikki E. Rossetti
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ana A. Baumann
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Theodore S. Thomas
- Veterans Affairs St. Louis Health Care System, St. Louis, MO 63110, USA
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Martin W. Schoen
- Veterans Affairs St. Louis Health Care System, St. Louis, MO 63110, USA
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO 63104, USA
| | - Su-Hsin Chang
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Nahom Seyoum
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Yan Yan
- Veterans Affairs St. Louis Health Care System, St. Louis, MO 63110, USA
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Mayank R. Patel
- Veterans Affairs St. Louis Health Care System, St. Louis, MO 63110, USA
| | - Whitney S. Brandt
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Bryan F. Meyers
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Benjamin D. Kozower
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Varun Puri
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
- Veterans Affairs St. Louis Health Care System, St. Louis, MO 63110, USA
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Goel N, Hernandez A, Cole SW. Social Genomic Determinants of Health: Understanding the Molecular Pathways by Which Neighborhood Disadvantage Affects Cancer Outcomes. J Clin Oncol 2024; 42:3618-3627. [PMID: 39178356 DOI: 10.1200/jco.23.02780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 12/25/2023] [Revised: 05/02/2024] [Accepted: 05/29/2024] [Indexed: 08/25/2024] Open
Abstract
PURPOSE Neighborhoods represent complex environments with unique social, cultural, physical, and economic attributes that have major impacts on disparities in health, disease, and survival. Neighborhood disadvantage is associated with shorter breast cancer recurrence-free survival (RFS) independent of individual-level (race, ethnicity, socioeconomic status, insurance, tumor characteristics) and health system-level determinants of health (receipt of guideline-concordant treatment). This persistent disparity in RFS suggests unaccounted mechanisms such as more aggressive tumor biology among women living in disadvantaged neighborhoods compared with advantaged neighborhoods. The objective of this article was to provide a clear framework and biological mechanistic explanation for how neighborhood disadvantage affects cancer survival. METHODS Development of a translational epidemiological framework that takes a translational disparities approach to study cancer outcome disparities through the lens of social genomics and social epigenomics. RESULTS The social genomic determinants of health, defined as the physiological gene regulatory pathways (ie, neural/endocrine control of gene expression and epigenetic processes) through which contextual factors, particularly one's neighborhood, can affect activity of the cancer genome and the surrounding tumor microenvironment to alter disease progression and treatment outcomes. CONCLUSION We propose a novel, multilevel determinants of health model that takes a translational epidemiological approach to evaluate the interplay between political, health system, social, psychosocial, individual, and social genomic determinants of health to understand social disparities in oncologic outcomes. In doing so, we provide a concrete biological pathway through which the effects of social processes and social epidemiology come to affect the basic biology of cancer and ultimately clinical outcomes and survival.
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Affiliation(s)
- Neha Goel
- Department of Surgery, Division of Surgical Oncology, University of Miami Miller School of Medicine, Miami, FL
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA
| | - Alexandra Hernandez
- Department of Surgery, Division of Surgical Oncology, University of Miami Miller School of Medicine, Miami, FL
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL
| | - Steven W Cole
- Department of Psychiatry/ Biobehavioral Sciences and Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA
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5
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Li C, Mowery DL, Ma X, Yang R, Vurgun U, Hwang S, Donnelly HK, Bandhey H, Senathirajah Y, Visweswaran S, Sadhu EM, Akhtar Z, Getzen E, Freda PJ, Long Q, Becich MJ. Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions. J Clin Transl Sci 2024; 8:e147. [PMID: 39478779 PMCID: PMC11523026 DOI: 10.1017/cts.2024.571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 02/02/2024] [Revised: 07/08/2024] [Accepted: 07/29/2024] [Indexed: 11/02/2024] Open
Abstract
Background Social determinants of health (SDoH), such as socioeconomics and neighborhoods, strongly influence health outcomes. However, the current state of standardized SDoH data in electronic health records (EHRs) is lacking, a significant barrier to research and care quality. Methods We conducted a PubMed search using "SDOH" and "EHR" Medical Subject Headings terms, analyzing included articles across five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions. Results Of 685 articles identified, 324 underwent full review. Key findings include implementation of tailored screening instruments, census and claims data linkage for contextual SDoH profiles, NLP systems extracting SDoH from notes, associations between SDoH and healthcare utilization and chronic disease control, and integrated care management programs. However, variability across data sources, tools, and outcomes underscores the need for standardization. Discussion Despite progress in identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical for SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately, widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.
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Affiliation(s)
- Chenyu Li
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Danielle L. Mowery
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Xiaomeng Ma
- Institute of Health Policy Management and Evaluations, University of Toronto, Toronto, ON, Canada
| | - Rui Yang
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
| | - Ugurcan Vurgun
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Sy Hwang
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Harsh Bandhey
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yalini Senathirajah
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Eugene M. Sadhu
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Zohaib Akhtar
- Kellogg School of Management, Northwestern University, Evanston, IL, USA
| | - Emily Getzen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip J. Freda
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Qi Long
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael J. Becich
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Tipre M, Picone C, Demanelis K, Buchanich J, Ndoh C, Yuan JM, Baskin ML. Identifying priority populations for lung cancer screening intervention using neighborhood-level factors and cancer registry data. PREVENTIVE ONCOLOGY & EPIDEMIOLOGY 2024; 2:2398014. [PMID: 39372673 PMCID: PMC11451813 DOI: 10.1080/28322134.2024.2398014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Academic Contribution Register] [Received: 06/16/2024] [Accepted: 08/23/2024] [Indexed: 10/08/2024]
Abstract
To evaluate the association of neighborhood level economic, environmental, and social indicators with lung cancer (LC) incidence and mortality. Data for adult incident LC cases in Allegheny County, Pennsylvania, diagnosed between 2015-2019 were obtained from Pennsylvania cancer registry. Cases were summarized at census-tract level. Publicly available data on neighborhood deprivation index (NDI), built environment, and racial isolation at census-tracts were linked to cases. Poisson regression was used to compute relative risk (RR) for LC incidence and mortality, adjusting for covariates. A total of 3256 LC cases were included in the analyses. About 68% were ≥65 years, 54% female, 14% Black or African American, and 63% deceased. Results of the multivariable model found that increasing quintiles (Q) of NDI were significantly associated with increasing risk of LC incidence and mortality. The RRs (95% confidence interval) of LC incidence for Q2, Q3, Q4 and Q5 were 1.36 (1.21-1.52), 1.55 (1.40-1.72), 1.68 (1.51-1.87), 2.08 (1.82-2.38), respectively, compared with Q1 (P trend <0.01). The corresponding RRs for LC mortality were 1.46 (1.27-1.68), 1.63 (1.42-1.88), 1.74 (1.51-2.01), 2.04 (2.02-2.88) (P trend <0.01). Targeted interventions for LC prevention and early detection in high NDI neighborhoods may be more effective to reduce LC health disparities.
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Affiliation(s)
- Meghan Tipre
- Division of Hematology Oncology, School of Medicine, University of Pittsburgh, Pittsburgh, PA
- UPMC Hillman Cancer Center, Pittsburgh, PA
| | | | - Kathryn Demanelis
- Division of Hematology Oncology, School of Medicine, University of Pittsburgh, Pittsburgh, PA
- UPMC Hillman Cancer Center, Pittsburgh, PA
| | - Jeanine Buchanich
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Christina Ndoh
- Department of Environmental and Occupational Health, School of Public Health, University of Pittsburgh
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center, Pittsburgh, PA
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Monica L Baskin
- Division of Hematology Oncology, School of Medicine, University of Pittsburgh, Pittsburgh, PA
- UPMC Hillman Cancer Center, Pittsburgh, PA
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7
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Kennedy K, Jusue-Torres I, Buller ID, Rossi E, Mallisetty A, Rodgers K, Lee B, Menchaca M, Pasquinelli M, Nguyen RH, Weinberg F, Rubinstein I, Herman JG, Brock M, Feldman L, Aldrich MC, Hulbert A. Neighborhood-level deprivation and survival in lung cancer. BMC Cancer 2024; 24:959. [PMID: 39107707 PMCID: PMC11301857 DOI: 10.1186/s12885-024-12720-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 05/28/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Despite recent advances in lung cancer therapeutics and improving overall survival, disparities persist among socially disadvantaged populations. This study aims to determine the effects of neighborhood deprivation indices (NDI) on lung cancer mortality. This is a multicenter retrospective cohort study assessing the relationship between NDI and overall survival adjusted for age, disease stage, and DNA methylation among biopsy-proven lung cancer patients. State-specific NDI for each year of sample collection were computed at the U.S. census tract level and dichotomized into low- and high-deprivation. RESULTS A total of 173 non small lung cancer patients were included, with n = 85 (49%) and n = 88 (51%) in the low and high-deprivation groups, respectively. NDI was significantly higher among Black patients when compared with White patients (p = 0.003). There was a significant correlation between DNA methylation and stage for HOXA7, SOX17, ZFP42, HOXA9, CDO1 and TAC1. Only HOXA7 DNA methylation was positively correlated with NDI. The high-deprivation group had a statistically significant shorter survival than the low-deprivation group (p = 0.02). After adjusting for age, race, stage, and DNA methylation status, belonging to the high-deprivation group was associated with higher mortality with a hazard ratio of 1.81 (95%CI: 1.03-3.19). CONCLUSIONS Increased neighborhood-level deprivation may be associated with liquid biopsy DNA methylation, shorter survival, and increased mortality. Changes in health care policies that consider neighborhood-level indices of socioeconomic deprivation may enable a more equitable increase in lung cancer survival.
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Affiliation(s)
- Kathleen Kennedy
- Department of Hematology Oncology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Ignacio Jusue-Torres
- Department of Neurologic Surgery, Mayo Clinic Health System, Eau Claire, WI, USA
| | - Ian D Buller
- Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, USA
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Emily Rossi
- Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, USA
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Apurva Mallisetty
- Department of Surgery, Cancer Center, University of Illinois College of Medicine in Chicago, 909 South Wolcott Ave COMRB Suite 5140, Chicago, IL, 60612, USA
| | - Kristen Rodgers
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Beverly Lee
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Martha Menchaca
- Department of Radiology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Mary Pasquinelli
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Ryan H Nguyen
- Department of Hematology Oncology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Frank Weinberg
- Department of Hematology Oncology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Israel Rubinstein
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
- Division of Research Services, Jesse Brown VA Medical Center, Chicago, IL, USA
| | - James G Herman
- Lung Cancer Program, University of Pittsburgh Cancer Institute, The Hillman Cancer Center, Pittsburgh, PA, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Malcolm Brock
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Lawrence Feldman
- Department of Hematology Oncology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
- Division of Research Services, Jesse Brown VA Medical Center, Chicago, IL, USA
| | - Melinda C Aldrich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alicia Hulbert
- Department of Surgery, Cancer Center, University of Illinois College of Medicine in Chicago, 909 South Wolcott Ave COMRB Suite 5140, Chicago, IL, 60612, USA.
- Division of Research Services, Jesse Brown VA Medical Center, Chicago, IL, USA.
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA.
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8
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Kunnath AJ, Sack DE, Wilkins CH. Relative predictive value of sociodemographic factors for chronic diseases among All of Us participants: a descriptive analysis. BMC Public Health 2024; 24:405. [PMID: 38326799 PMCID: PMC10851469 DOI: 10.1186/s12889-024-17834-1] [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] [Academic Contribution Register] [Received: 10/15/2023] [Accepted: 01/20/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Although sociodemographic characteristics are associated with health disparities, the relative predictive value of different social and demographic factors remains largely unknown. This study aimed to describe the sociodemographic characteristics of All of Us participants and evaluate the predictive value of each factor for chronic diseases associated with high morbidity and mortality. METHODS We performed a cross-sectional analysis using de-identified survey data from the All of Us Research Program, which has collected social, demographic, and health information from adults living in the United States since May 2018. Sociodemographic data included self-reported age, sex, gender, sexual orientation, race/ethnicity, income, education, health insurance, primary care provider (PCP) status, and health literacy scores. We analyzed the self-reported prevalence of hypertension, coronary artery disease, any cancer, skin cancer, lung disease, diabetes, obesity, and chronic kidney disease. Finally, we assessed the relative importance of each sociodemographic factor for predicting each chronic disease using the adequacy index for each predictor from logistic regression. RESULTS Among the 372,050 participants in this analysis, the median age was 53 years, 59.8% reported female sex, and the most common racial/ethnic categories were White (54.0%), Black (19.9%), and Hispanic/Latino (16.7%). Participants who identified as Asian, Middle Eastern/North African, and White were the most likely to report annual incomes greater than $200,000, advanced degrees, and employer or union insurance, while participants who identified as Black, Hispanic, and Native Hawaiian/Pacific Islander were the most likely to report annual incomes less than $10,000, less than a high school education, and Medicaid insurance. We found that age was most predictive of hypertension, coronary artery disease, any cancer, skin cancer, diabetes, obesity, and chronic kidney disease. Insurance type was most predictive of lung disease. Notably, no two health conditions had the same order of importance for sociodemographic factors. CONCLUSIONS Age was the best predictor for the assessed chronic diseases, but the relative predictive value of income, education, health insurance, PCP status, race/ethnicity, and sexual orientation was highly variable across health conditions. Identifying the sociodemographic groups with the largest disparities in a specific disease can guide future interventions to promote health equity.
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Affiliation(s)
- Ansley J Kunnath
- Vanderbilt University Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Daniel E Sack
- Vanderbilt University Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Consuelo H Wilkins
- Department of Medicine, Vanderbilt University Medical Center, 2525 West End, Suite 600, Nashville, TN, 37203, USA.
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9
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Li C, Mowery DL, Ma X, Yang R, Vurgun U, Hwang S, Donnelly HK, Bandhey H, Akhtar Z, Senathirajah Y, Sadhu EM, Getzen E, Freda PJ, Long Q, Becich MJ. Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.04.24302242. [PMID: 38370703 PMCID: PMC10871446 DOI: 10.1101/2024.02.04.24302242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Academic Contribution Register] [Indexed: 02/20/2024]
Abstract
Background Social determinants of health (SDoH) like socioeconomics and neighborhoods strongly influence outcomes, yet standardized SDoH data is lacking in electronic health records (EHR), limiting research and care quality. Methods We searched PubMed using keywords "SDOH" and "EHR", underwent title/abstract and full-text screening. Included records were analyzed under five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions. Results We identified 685 articles, of which 324 underwent full review. Key findings include tailored screening instruments implemented across settings, census and claims data linkage providing contextual SDoH profiles, rule-based and neural network systems extracting SDoH from notes using NLP, connections found between SDoH data and healthcare utilization/chronic disease control, and integrated care management programs executed. However, considerable variability persists across data sources, tools, and outcomes. Discussion Despite progress identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical to fulfill the potential of SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.
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Affiliation(s)
- Chenyu Li
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Danielle L. Mowery
- University of Pennsylvania, Institute for Biomedical Informatics
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Xiaomeng Ma
- University of Toronto, Institute of Health Policy Management and Evaluations
| | - Rui Yang
- Duke-NUS Medical School, Centre for Quantitative Medicine
| | - Ugurcan Vurgun
- University of Pennsylvania, Institute for Biomedical Informatics
| | - Sy Hwang
- University of Pennsylvania, Institute for Biomedical Informatics
| | | | - Harsh Bandhey
- Cedars-Sinai Medical Center, Department of Computational Biomedicine
| | - Zohaib Akhtar
- Northwestern University, Kellogg School of Management
| | - Yalini Senathirajah
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Eugene Mathew Sadhu
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Emily Getzen
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Philip J Freda
- Cedars-Sinai Medical Center, Department of Computational Biomedicine
| | - Qi Long
- University of Pennsylvania, Institute for Biomedical Informatics
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Michael J. Becich
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
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Elmohr MM, Javed Z, Dubey P, Jordan JE, Shah L, Nasir K, Rohren EM, Lincoln CM. Social Determinants of Health Framework to Identify and Reduce Barriers to Imaging in Marginalized Communities. Radiology 2024; 310:e223097. [PMID: 38376404 PMCID: PMC10902599 DOI: 10.1148/radiol.223097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 12/12/2022] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 02/21/2024]
Abstract
Social determinants of health (SDOH) are conditions influencing individuals' health based on their environment of birth, living, working, and aging. Addressing SDOH is crucial for promoting health equity and reducing health outcome disparities. For conditions such as stroke and cancer screening where imaging is central to diagnosis and management, access to high-quality medical imaging is necessary. This article applies a previously described structural framework characterizing the impact of SDOH on patients who require imaging for their clinical indications. SDOH factors can be broadly categorized into five sectors: economic stability, education access and quality, neighborhood and built environment, social and community context, and health care access and quality. As patients navigate the health care system, they experience barriers at each step, which are significantly influenced by SDOH factors. Marginalized communities are prone to disparities due to the inability to complete the required diagnostic or screening imaging work-up. This article highlights SDOH that disproportionately affect marginalized communities, using stroke and cancer as examples of disease processes where imaging is needed for care. Potential strategies to mitigate these disparities include dedicating resources for clinical care coordinators, transportation, language assistance, and financial hardship subsidies. Last, various national and international health initiatives are tackling SDOH and fostering health equity.
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Affiliation(s)
- Mohab M. Elmohr
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Zulqarnain Javed
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Prachi Dubey
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - John E. Jordan
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Lubdha Shah
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Khurram Nasir
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Eric M. Rohren
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Christie M. Lincoln
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
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11
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Robinson-Oghogho JN, Alcaraz KI, Thorpe RJ. Structural Racism as a Contributor to Lung Cancer Incidence and Mortality Rates Among Black Populations in the United States. Cancer Control 2024; 31:10732748241248363. [PMID: 38698674 PMCID: PMC11067682 DOI: 10.1177/10732748241248363] [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] [Academic Contribution Register] [Received: 12/23/2023] [Revised: 03/15/2024] [Accepted: 04/03/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Although racial disparities in lung cancer incidence and mortality have diminished in recent years, lung cancer remains the second most diagnosed cancer among US Black populations. Many factors contributing to disparities in lung cancer are rooted in structural racism. To quantify this relationship, we examined associations between a multidimensional measure of county-level structural racism and county lung cancer incidence and mortality rates among Black populations, while accounting for county levels of environmental quality. METHODS We merged 2016-2020 data from the United States Cancer Statistics Data Visualization Tool, a pre-existing county-level structural racism index, the Environmental Protection Agency's 2006-2010 Environmental Quality Index (EQI), 2023 County Health Rankings, and the 2021 United States Census American Community Survey. We conducted multivariable linear regressions to examine associations between county-level structural racism and county-level lung cancer incidence and mortality rates. RESULTS Among Black males and females, each standard deviation increase in county-level structural racism score was associated with an increase in county-level lung cancer incidence of 6.4 (95% CI: 4.4, 8.5) cases per 100,000 and an increase of 3.3 (95% CI: 2.0, 4.6) lung cancer deaths per 100,000. When examining these associations stratified by sex, larger associations between structural racism and lung cancer rates were observed among Black male populations than among Black females. CONCLUSION Structural racism contributes to both the number of new lung cancer cases and the number of deaths caused by lung cancer among Black populations. Those aiming to reduce lung cancer cases and deaths should consider addressing racism as a root-cause.
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Affiliation(s)
- Joelle N. Robinson-Oghogho
- Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kassandra I. Alcaraz
- Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
| | - Roland J. Thorpe
- Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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12
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Kim SJ, Kery C, An J, Rineer J, Bobashev G, Matthews AK. Racial/Ethnic disparities in exposure to neighborhood violence and lung cancer risk in Chicago. Soc Sci Med 2024; 340:116448. [PMID: 38043441 PMCID: PMC10836639 DOI: 10.1016/j.socscimed.2023.116448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 06/22/2023] [Revised: 08/31/2023] [Accepted: 11/19/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Despite the lower prevalence and frequency of smoking, Black adults are disproportionately affected by lung cancer. Exposure to chronic stress generates heightened immune responses, which creates a cell environment conducive to lung cancer development. Residents in poor and segregated neighborhoods are exposed to increased neighborhood violence, and chronic exposure to violence may have downstream physiological stress responses, which may explain racial disparities in lung cancer in predominantly Black urban communities. METHODS We utilized retrospective electronic medical records of patients who underwent a screening or diagnostic test for lung cancer at an academic medical center in Chicago to examine the associations between lung cancer diagnosis and individual characteristics (age, gender, race/ethnicity, and smoking status) and neighborhood-level homicide rate. We then used a synthetic population to estimate the neighborhood-level lung cancer risk to understand spatial clusters of increased homicide rates and lung cancer risk. RESULTS Older age and former/current smoking status were associated with increased odds of lung cancer diagnosis. Hispanic patients were more likely than White patients to be diagnosed with lung cancer, but there was no statistical difference between Black and White patients in lung cancer diagnosis. The odds of being diagnosed with lung cancer were significantly higher for patients living in areas with the third and fourth quartiles of homicide rates compared to the second quartile of homicide rates. Furthermore, significant spatial clusters of increased lung cancer risk and homicide rates were observed on Chicago's South and West sides. CONCLUSIONS Neighborhood violence was associated with an increased risk of lung cancer. Black residents in Chicago are disproportionately exposed to neighborhood violence, which may partially explain the existing racial disparity in lung cancer. Incorporating neighborhood violence exposure into lung cancer risk models may help identify high-risk individuals who could benefit from lung cancer screening.
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Affiliation(s)
- Sage J Kim
- University of Illinois at Chicago, School of Public Health, Division of Health Policy and Administration, Chicago, IL, USA.
| | | | - Jinghua An
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
| | - James Rineer
- Geospatial Science & Technology Program, RTI International, Research Triangle Park, NC, USA.
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13
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Ng GY, Karsalia R, Gallagher RS, Borja AJ, Na J, McClintock SD, Malhotra NR. The Impact of Neighborhood Socioeconomic Disadvantage on Operative Outcomes after Single-Level Lumbar Fusion. World Neurosurg 2023; 180:e440-e448. [PMID: 37757946 DOI: 10.1016/j.wneu.2023.09.085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 06/20/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023]
Abstract
INTRODUCTION The relationship between socioeconomic status and neurosurgical outcomes has been investigated with respect to insurance status or median household income, but few studies have considered more comprehensive measures of socioeconomic status. This study examines the relationship between Area Deprivation Index (ADI), a comprehensive measure of neighborhood socioeconomic disadvantage, and short-term postoperative outcomes after lumbar fusion surgery. METHODS 1861 adult patients undergoing single-level, posterior-only lumbar fusion at a single, multihospital academic medical center were retrospectively enrolled. An ADI matching protocol was used to identify each patient's 9-digit zip code and the zip code-associated ADI data. Primary outcomes included 30- and 90-day readmission, emergency department visits, reoperation, and surgical complication. Coarsened exact matching was used to match patients on key demographic and baseline characteristics known to independently affect neurosurgical outcomes. Odds ratios (ORs) were computed to compare patients in the top 10% of ADI versus lowest 40% of ADI. RESULTS After matching (n = 212), patients in the highest 10% of ADI (compared to the lowest 40% of ADI) had significantly increased odds of 30- and 90-day readmission (OR = 5.00, P < 0.001 and OR = 4.50, P < 0.001), ED visits (OR = 3.00, P = 0.027 and OR = 2.88, P = 0.007), and reoperation (OR = 4.50, P = 0.039 and OR = 5.50, P = 0.013). There was no significant association with surgical complication (OR = 0.50, P = 0.63). CONCLUSIONS Among otherwise similar patients, neighborhood socioeconomic disadvantage (measured by ADI) was associated with worse short-term outcomes after single-level, posterior-only lumbar fusion. There was no significant association between ADI and surgical complications, suggesting that perioperative complications do not explain the socioeconomic disparities in outcomes.
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Affiliation(s)
- Grace Y Ng
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Bostom, Massachusetts, USA
| | - Ritesh Karsalia
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ryan S Gallagher
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Austin J Borja
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jianbo Na
- McKenna EpiLog Fellowship in Population Health, The University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Scott D McClintock
- Department of Mathematics, The West Chester Statistical Institute, West Chester University, West Chester, Pennsylvania, USA
| | - Neil R Malhotra
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA; McKenna EpiLog Fellowship in Population Health, The University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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14
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Hall JM, Mkuu RS, Cho HD, Woodard JN, Kaye FJ, Bian J, Shenkman EA, Guo Y. Disparities Contributing to Late-Stage Diagnosis of Lung, Colorectal, Breast, and Cervical Cancers: Rural and Urban Poverty in Florida. Cancers (Basel) 2023; 15:5226. [PMID: 37958400 PMCID: PMC10647213 DOI: 10.3390/cancers15215226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 08/22/2023] [Revised: 10/18/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Despite advances in cancer screening, late-stage cancer diagnosis is still a major cause of morbidity and mortality in the United States. In this study, we aim to understand demographic and geographic factors associated with receiving a late-stage diagnosis (LSD) of lung, colorectal, breast, or cervical cancer. (1) Methods: We analyzed data of patients with a cancer diagnosis between 2016 and 2020 from the Florida Cancer Data System (FCDS), a statewide population-based registry. To investigate correlates of LSD, we estimated multi-variable logistic regression models for each cancer while controlling for age, sex, race, insurance, and census tract rurality and poverty. (2) Results: Patients from high-poverty rural areas had higher odds for LSD of lung (OR = 1.23, 95% CI (1.10, 1.37)) and breast cancer (OR = 1.31, 95% CI (1.17,1.47)) than patients from low-poverty urban areas. Patients in high-poverty urban areas saw higher odds of LSD for lung (OR = 1.05 95% CI (1.00, 1.09)), breast (OR = 1.10, 95% CI (1.06, 1.14)), and cervical cancer (OR = 1.19, 95% CI (1.03, 1.37)). (3) Conclusions: Financial barriers contributing to decreased access to care likely drive LSD for cancer in rural and urban communities of Florida.
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Affiliation(s)
- Jaclyn M. Hall
- Department of Health Outcomes and Biomedical Informatics, University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA; (R.S.M.); (H.D.C.); (J.N.W.); (J.B.); (E.A.S.); (Y.G.)
- Cancer Informatics Shared Resource, University of Florida Health Cancer Center, 2033 Mowry Road, Gainesville, FL 32610, USA
| | - Rahma S. Mkuu
- Department of Health Outcomes and Biomedical Informatics, University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA; (R.S.M.); (H.D.C.); (J.N.W.); (J.B.); (E.A.S.); (Y.G.)
| | - Hee Deok Cho
- Department of Health Outcomes and Biomedical Informatics, University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA; (R.S.M.); (H.D.C.); (J.N.W.); (J.B.); (E.A.S.); (Y.G.)
- Cancer Informatics Shared Resource, University of Florida Health Cancer Center, 2033 Mowry Road, Gainesville, FL 32610, USA
| | - Jennifer N. Woodard
- Department of Health Outcomes and Biomedical Informatics, University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA; (R.S.M.); (H.D.C.); (J.N.W.); (J.B.); (E.A.S.); (Y.G.)
- Community Outreach and Engagement, University of Florida Health Cancer Center, 2033 Mowry Road, Gainesville, FL 32610, USA
| | - Frederic J. Kaye
- Division of Hematology and Oncology, Department of Medicine, University of Florida, 1600 SW Archer Road, Gainesville, FL 32610, USA;
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA; (R.S.M.); (H.D.C.); (J.N.W.); (J.B.); (E.A.S.); (Y.G.)
- Cancer Informatics Shared Resource, University of Florida Health Cancer Center, 2033 Mowry Road, Gainesville, FL 32610, USA
| | - Elizabeth A. Shenkman
- Department of Health Outcomes and Biomedical Informatics, University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA; (R.S.M.); (H.D.C.); (J.N.W.); (J.B.); (E.A.S.); (Y.G.)
| | - Yi Guo
- Department of Health Outcomes and Biomedical Informatics, University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA; (R.S.M.); (H.D.C.); (J.N.W.); (J.B.); (E.A.S.); (Y.G.)
- Cancer Informatics Shared Resource, University of Florida Health Cancer Center, 2033 Mowry Road, Gainesville, FL 32610, USA
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15
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Kaur M, Berg KA, Perzynski AT. Place and Pulmonary Health Inequality. Ann Am Thorac Soc 2023; 20:1400-1401. [PMID: 37772944 PMCID: PMC10559130 DOI: 10.1513/annalsats.202308-669ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Indexed: 09/30/2023] Open
Affiliation(s)
- Manpreet Kaur
- Department of Sociology, Case Western Reserve University, Cleveland, Ohio
| | - Kristen A Berg
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio; and
- Population Health Equity Research Institute, The MetroHealth System, Cleveland, Ohio
| | - Adam T Perzynski
- Department of Sociology, Case Western Reserve University, Cleveland, Ohio
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio; and
- Population Health Equity Research Institute, The MetroHealth System, Cleveland, Ohio
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16
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Becerril A, Pfoh ER, Hashmi AZ, Mourany L, Gunzler DD, Berg KA, Krieger NI, Krishnan K, Moore SE, Kahana E, Dawson NV, Luezas Shamakian L, Campbell JW, Perzynski AT, Dalton JE. Racial, ethnic and neighborhood socioeconomic differences in incidence of dementia: A regional retrospective cohort study. J Am Geriatr Soc 2023; 71:2406-2418. [PMID: 36928611 DOI: 10.1111/jgs.18322] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 07/26/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Evidence on the effects of neighborhood socioeconomic disadvantage on dementia risk in racially and ethically diverse populations is limited. Our objective was to evaluate the relative extent to which neighborhood disadvantage accounts for racial/ethnic variation in dementia incidence rates. Secondarily, we evaluated the spatial relationship between neighborhood disadvantage and dementia risk. METHODS In this retrospective study using electronic health records (EHR) at two regional health systems in Northeast Ohio, participants included 253,421 patients aged >60 years who had an outpatient primary care visit between January 1, 2005 and December 31, 2015. The date of the first qualifying visit served as the study baseline. Cumulative incidence of composite dementia outcome, defined as EHR-documented dementia diagnosis or dementia-related death, stratified by neighborhood socioeconomic deprivation (as measured by Area Deprivation Index) was determined by competing-risk regression analysis, with non-dementia-related death as the competing risk. Fine-Gray sub-distribution hazard ratios were determined for neighborhood socioeconomic deprivation, race/ethnicity, and clinical risk factors. The degree to which neighborhood socioeconomic position accounted for racial/ethnic disparities in the incidence of composite dementia outcome was evaluated via mediation analysis with Poisson rate models. RESULTS Increasing neighborhood disadvantage was associated with increased risk of EHR-documented dementia diagnosis or dementia-related death (most vs. least disadvantaged ADI quintile HR = 1.76, 95% confidence interval = 1.69-1.84) after adjusting for age and sex. The effect of neighborhood disadvantage on this composite dementia outcome remained after accounting for known medical risk factors of dementia. Mediation analysis indicated that neighborhood disadvantage accounted for 34% and 29% of the elevated risk for composite dementia outcome in Hispanic and Black patients compared to White patients, respectively. CONCLUSION Neighborhood disadvantage is related to the risk of EHR-documented dementia diagnosis or dementia-related death and accounts for a portion of racial/ethnic differences in dementia burden, even after adjustment for clinically important confounders.
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Affiliation(s)
- Alissa Becerril
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Elizabeth R Pfoh
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, Ohio, USA
| | - Ardeshir Z Hashmi
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
- Center for Geriatric Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | - Lyla Mourany
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Douglas D Gunzler
- Center for Healthcare Research and Policy, Case Western Reserve University at MetroHealth, Cleveland, Ohio, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Kristen A Berg
- Center for Healthcare Research and Policy, Case Western Reserve University at MetroHealth, Cleveland, Ohio, USA
| | - Nikolas I Krieger
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Kamini Krishnan
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, Ohio, USA
| | - Scott Emory Moore
- Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio, USA
| | - Eva Kahana
- Sociology Department, Case Western Reserve University, Cleveland, Ohio, USA
| | - Neal V Dawson
- Center for Healthcare Research and Policy, Case Western Reserve University at MetroHealth, Cleveland, Ohio, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | | | | | - Adam T Perzynski
- Center for Healthcare Research and Policy, Case Western Reserve University at MetroHealth, Cleveland, Ohio, USA
| | - Jarrod E Dalton
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
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Wing SE, Jankowska MM, Zou X, Sosa E, Yang JA, Benmarhnia T, Neuhausen SL, Nelson R, Salgia R, Gray SW, Erhunmwunsee L. Neighborhood disadvantage is associated with KRAS-mutated non-small cell lung cancer risk. J Cancer Res Clin Oncol 2023; 149:5231-5240. [PMID: 36383274 PMCID: PMC10322188 DOI: 10.1007/s00432-022-04455-7] [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] [Academic Contribution Register] [Received: 08/20/2022] [Accepted: 10/26/2022] [Indexed: 11/17/2022]
Abstract
PURPOSE It remains unclear why individuals living in disadvantaged neighborhoods have shorter non-small cell lung cancer (NSCLC) survival. It is possible that living in these deprived areas is linked with increased risk of developing aggressive NSCLC biology. Here, we explored the association of somatic KRAS mutations, which are associated with shorter survival in NSCLC patients, and 11 definitions of neighborhood disadvantage spanning socioeconomic and structural environmental elements. METHODS We analyzed data from 429 NSCLC patients treated at a Comprehensive Cancer Center from 2015 to 2018. Data were abstracted from medical records and each patient's home address was used to assign publicly available indices of neighborhood disadvantage. Prevalence Ratios (PRs) for the presence of somatic KRAS mutations were estimated using modified Poisson regression models adjusted for age, sex, smoking status, race/ethnicity, educational attainment, cancer stage, and histology. RESULTS In the NSCLC cohort, 29% had KRAS mutation-positive tumors. We found that five deprivation indices of socioeconomic disadvantage were associated with KRAS mutation. A one decile increase in several of these socioeconomic disadvantage indices was associated with a 1.06 to 1.14 increased risk of KRAS mutation. Measures of built structural environment were not associated with KRAS mutation status. CONCLUSION Socioeconomic disadvantage at the neighborhood level is associated with higher risk of KRAS mutation while disadvantage related to built environmental structural measures was inversely associated. Our results indicate not only that neighborhood disadvantage may contribute to aggressive NSCLC biology, but the pathways linking biology to disadvantage are likely operating through socioeconomic-related stress.
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Affiliation(s)
- Sam E Wing
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Marta M Jankowska
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Xiaoke Zou
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Ernesto Sosa
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Jiue-An Yang
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Tarik Benmarhnia
- Herbert Wertheim School of Public Health, University of California San Diego, San Diego, CA, USA
- Scripps Institution of Oceanography - Climate, Atmospheric Sciences, and Physical Oceanography, San Diego, CA, USA
| | - Susan L Neuhausen
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Rebecca Nelson
- Department of Computational and Quantitative Medicine, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Ravi Salgia
- Department of Medical Oncology & Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Stacy W Gray
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA
- Department of Medical Oncology & Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Loretta Erhunmwunsee
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA.
- Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
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Berg KA, DeRenzo M, Carpiano RM, Lowenstein I, Perzynski AT. Go-along interview assessment of community health priorities for neighborhood renewal. AMERICAN JOURNAL OF COMMUNITY PSYCHOLOGY 2023; 71:437-452. [PMID: 36947385 DOI: 10.1002/ajcp.12661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Academic Contribution Register] [Received: 04/20/2022] [Revised: 01/05/2023] [Accepted: 02/02/2023] [Indexed: 06/06/2023]
Abstract
Healthcare systems are increasingly investing in approaches to address social determinants of health and health disparities. Such initiatives dovetail with certain approaches to neighborhood development, such as the EcoDistrict standard for community development, that prioritize both ecologically and socially sustainable neighborhoods. However, healthcare system and community development initiatives can be untethered from the preferences and lived realities of residents in the very neighborhoods upon which they focus. Utilizing the go-along approach to collecting qualitative data in situ, we interviewed 19 adults to delineate residents' community health perspectives and priorities. Findings reveal health priorities distinct from clinical outcomes, with residents emphasizing social connectedness, competing intra- and interneighborhood perceptions that potentially thwart social connectedness, and a neighborhood emplacement of agency, dignity, and self-worth. Priorities of healthcare systems and community members alike must be accounted for to optimize efforts that promote health and social well-being by being valid and meaningful to the community of focus.
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Affiliation(s)
- Kristen A Berg
- Center for Health Care Research and Policy, The MetroHealth System, Cleveland, Ohio, USA
- School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Maria DeRenzo
- Center for Health Care Research and Policy, The MetroHealth System, Cleveland, Ohio, USA
| | - Richard M Carpiano
- School of Public Policy, University of California, Riverside, California, USA
- Department of Sociology, University of California, Riverside, California, USA
- Center for Healthy Communities, University of California, Riverside, California, USA
| | | | - Adam T Perzynski
- Center for Health Care Research and Policy, The MetroHealth System, Cleveland, Ohio, USA
- School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
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Kourouni I, Suguness A, Finley J, Josan ES, Dutton K, Tarabichi Y. Reducing Racial Disparities in the Timeliness of Potential Lung Cancer Evaluation With a Novel Application-Supported Rapid Outpatient Diagnostic Program: An Interrupted Time Series Analysis. Clin Lung Cancer 2023; 24:339-346. [PMID: 37002154 PMCID: PMC10225315 DOI: 10.1016/j.cllc.2023.02.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 10/16/2022] [Revised: 02/25/2023] [Accepted: 02/27/2023] [Indexed: 03/07/2023]
Abstract
INTRODUCTION Rapid outpatient diagnostic programs (RODP) expedite lung cancer evaluation, but their impact on racial disparities in the timeliness of evaluation is less clear. MATERIALS AND METHODS This was a retrospective analysis of the impact of an internally developed application-supported RODP on racial disparities in timely referral completion rates for patients with potential lung cancer at a safety-net healthcare system. An application screened referrals to pulmonology for indications of lung mass or nodule and presented relevant clinical information that enabled dedicated pulmonologists to efficiently review and triage cases according to urgency. Subsequent care coordination was overseen by a dedicated nurse coordinator. To determine the program's impact, we conducted an interrupted time series analysis of the monthly fraction of referrals completed within 30 days, stratified by those identified as White, non-Hispanic and those that were not (racial and ethnic minorities). RESULTS There were 902 patients referred in the 2 years preintervention and 913 in the 2 years postintervention. Overall, the median age was 63 years, and 44.7% of referred patients were female. 44.2% were White, non-Hispanic while racial and ethnic minorities constituted 54.3%. After the intervention, there was a significant improvement in the proportion of referrals completed within 30 days (62.4% vs. 48.2%, P <.01). The interrupted time series revealed a significant immediate improvement in timely completion among racial and ethnic minorities (23%, P < .01) that was not reflected in the majority White, non-Hispanic subgroup (11%, not significant). CONCLUSION A thoughtfully designed and implemented RODP reduced racial disparities in the timely evaluation of potential lung cancer.
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Affiliation(s)
- Ismini Kourouni
- Division of Pulmonary, Critical Care and Sleep Medicine, MetroHealth, Cleveland, OH; School of Medicine, Case Western Reserve University, Cleveland, OH
| | - Arvind Suguness
- Division of Pulmonary, Critical Care and Sleep Medicine, MetroHealth, Cleveland, OH; School of Medicine, Case Western Reserve University, Cleveland, OH; Center for Clinical Informatics Research and Education, MetroHealth, Cleveland, OH
| | - James Finley
- Division of Pulmonary, Critical Care and Sleep Medicine, MetroHealth, Cleveland, OH; School of Medicine, Case Western Reserve University, Cleveland, OH
| | | | - Katherine Dutton
- Division of Pulmonary, Critical Care and Sleep Medicine, MetroHealth, Cleveland, OH
| | - Yasir Tarabichi
- Division of Pulmonary, Critical Care and Sleep Medicine, MetroHealth, Cleveland, OH; School of Medicine, Case Western Reserve University, Cleveland, OH; Center for Clinical Informatics Research and Education, MetroHealth, Cleveland, OH.
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20
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Purrington KS, Hastert TA, Madhav KC, Nair M, Snider N, Ruterbusch JJ, Schwartz AG, Stoffel EM, Peters ES, Rozek LS. The role of area-level socioeconomic disadvantage in racial disparities in cancer incidence in metropolitan Detroit. Cancer Med 2023. [PMID: 37184135 DOI: 10.1002/cam4.6065] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 03/02/2022] [Revised: 04/17/2023] [Accepted: 04/30/2023] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Neighborhood deprivation is associated with both race and cancer incidence, but there is a need to better understand the effect of structural inequities on racial cancer disparities. The goal of this analysis was to evaluate the relationship between a comprehensive measure of neighborhood-level social disadvantage and cancer incidence within the racially diverse population of metropolitan Detroit. METHODS We estimated breast, colorectal, lung, and prostate cancer incidence rates using Metropolitan Detroit Cancer Surveillance System and US decennial census data. Neighborhood socioeconomic disadvantage was measured by the Area Deprivation Index (ADI) using Census Bureau's American Community Survey data at the Public Use Microdata Areas (PUMA) level. Associations between ADI at time of diagnosis and cancer incidence were estimated using Poisson mixed-effects models adjusting for age and sex. Attenuation of race-incidence associations by ADI was quantified using the "mediation" package in R. RESULTS ADI was inversely associated with incidence of breast cancer for both non-Hispanic White (NHW) and non-Hispanic Black (NHB) women (NHW: per-quartile RR = 0.92, 95% CI 0.88-0.96; NHB: per-quartile RR = 0.94, 95% CI 0.91-0.98) and with prostate cancer incidence only for NHW men (per-quartile RR = 0.94, 95% CI 0.90-0.97). ADI was positively associated with incidence of lung cancer for NHWs and NHBs (NHW: per-quartile RR = 1.12, 95% CI 1.04-1.21; NHB: per-quartile RR = 1.37, 95% CI 1.25-1.51) and incidence of colorectal cancer (CRC) only among NHBs (per-quartile RR = 1.11, 95% CI 1.02-1.21). ADI significantly attenuated the relationship between race and hormone receptor positive, HER2-negative breast cancer (proportion attenuated = 8.5%, 95% CI 4.1-16.6%) and CRC cancer (proportion attenuated = 7.3%, 95% CI 3.7 to 12.8%), and there was a significant interaction between race and ADI for lung (interaction RR = 1.22, p < 0.0001) and prostate cancer (interaction RR = 1.09, p = 0.00092). CONCLUSIONS Area-level socioeconomic disadvantage is associated with risk of common cancers in a racially diverse population and plays a role in racial differences in cancer incidence.
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Affiliation(s)
- Kristen S Purrington
- Department of Oncology, Wayne State University School of Medicine, Michigan, Detroit, USA
- Population Studies and Disparities Research Program, Barbara Ann Karmanos Cancer Institute, Michigan, Detroit, USA
| | - Theresa A Hastert
- Department of Oncology, Wayne State University School of Medicine, Michigan, Detroit, USA
- Population Studies and Disparities Research Program, Barbara Ann Karmanos Cancer Institute, Michigan, Detroit, USA
| | - K C Madhav
- Department of Internal Medicine, Yale School of Medicine, Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Connecticut, New Haven, USA
| | - Mrudula Nair
- Department of Oncology, Wayne State University School of Medicine, Michigan, Detroit, USA
| | - Natalie Snider
- Department of Oncology, Wayne State University School of Medicine, Michigan, Detroit, USA
| | - Julie J Ruterbusch
- Department of Oncology, Wayne State University School of Medicine, Michigan, Detroit, USA
- Population Studies and Disparities Research Program, Barbara Ann Karmanos Cancer Institute, Michigan, Detroit, USA
| | - Ann G Schwartz
- Department of Oncology, Wayne State University School of Medicine, Michigan, Detroit, USA
- Population Studies and Disparities Research Program, Barbara Ann Karmanos Cancer Institute, Michigan, Detroit, USA
| | - Elena M Stoffel
- Division of Gastroenterology, Department of Internal Medicine, University of Michigan Health System, Michigan, Ann Arbor, USA
| | - Edward S Peters
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Laura S Rozek
- Department of Oncology, Georgetown University School of Medicine, District of Columbia, Washington, USA
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21
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Richmond J, Murray MH, Milder CM, Blume JD, Aldrich MC. Racial Disparities in Lung Cancer Stage of Diagnosis Among Adults Living in the Southeastern United States. Chest 2023; 163:1314-1327. [PMID: 36435265 PMCID: PMC10206508 DOI: 10.1016/j.chest.2022.11.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 04/18/2022] [Revised: 10/12/2022] [Accepted: 11/19/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Black Americans receive a diagnosis at later stage of lung cancer more often than White Americans. We undertook a population-based study to identify factors contributing to racial disparities in lung cancer stage of diagnosis among low-income adults. RESEARCH QUESTION Which multilevel factors contribute to racial disparities in stage of lung cancer at diagnosis? STUDY DESIGN AND METHODS Cases of incident lung cancer from the prospective observational Southern Community Cohort Study were identified by linkage with state cancer registries in 12 southeastern states. Logistic regression shrinkage techniques were implemented to identify individual-level and area-level factors associated with distant stage diagnosis. A subset of participants who responded to psychosocial questions (eg, racial discrimination experiences) were evaluated to determine if model predictive power improved. RESULTS We identified 1,572 patients with incident lung cancer with available lung cancer stage (64% self-identified as Black and 36% self-identified as White). Overall, Black participants with lung cancer showed greater unadjusted odds of distant stage diagnosis compared with White participants (OR,1.29; 95% CI, 1.05-1.59). Greater neighborhood area deprivation was associated with distant stage diagnosis (OR, 1.58; 95% CI, 1.19-2.11). After controlling for individual- and area-level factors, no significant difference were found in distant stage disease for Black vs White participants. However, participants with COPD showed lower odds of distant stage diagnosis in the primary model (OR, 0.72; 95% CI, 0.53-0.98). Interesting and complex interactions were observed. The subset analysis model with additional variables for racial discrimination experiences showed slightly greater predictive power than the primary model. INTERPRETATION Reducing racial disparities in lung cancer stage at presentation will require interventions on both structural and individual-level factors.
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Affiliation(s)
- Jennifer Richmond
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Cato M Milder
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Jeffrey D Blume
- School of Data Science, University of Virginia, Charlottesville, VA
| | - Melinda C Aldrich
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN.
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22
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Eom KY, Berg KA, Joseph NE, Runner K, Tarabichi Y, Khiyami A, Perzynski AT, Sossey-Alaoui K. Neighborhood and racial influences on triple negative breast cancer: evidence from Northeast Ohio. Breast Cancer Res Treat 2023; 198:369-381. [PMID: 36781520 PMCID: PMC10716786 DOI: 10.1007/s10549-023-06883-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 10/25/2022] [Accepted: 02/02/2023] [Indexed: 02/15/2023]
Abstract
PURPOSE Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer (BC) with higher recurrence rates and poorer prognoses and most prevalent among non-Hispanic Black women. Studies of multiple health conditions and care processes suggest that neighborhood socioeconomic position is a key driver of health disparities. We examined roles of patients' neighborhood-level characteristics and race on prevalence, stage at diagnosis, and mortality among patients diagnosed with BC at a large safety-net healthcare system in Northeast Ohio. METHODS We used tumor registry to identify BC cases from 2007 to 2020 and electronic health records and American Community Survey for individual- and area-level factors. We performed multivariable regression analyses to estimate associations between neighborhood-level characteristics, measured by the Area Deprivation Index (ADI), race and comparative TNBC prevalence, stage at diagnosis, and total mortality. RESULTS TNBC was more common among non-Hispanic Black (53.7%) vs. non-Hispanic white patients (46.4%). Race and ADI were individually significant predictors of TNBC prevalence, stage at diagnosis, and total mortality. Race remained significantly associated with TNBC subtype, adjusting for covariates. Accounting for TNBC status, a more disadvantaged neighborhood was significantly associated with a worse stage at diagnosis and higher death rates. CONCLUSION Our findings suggest that both neighborhood socioeconomic position and race are strongly associated with TNBC vs. other BC subtypes. The burden of TNBC appears to be highest among Black women in the most socioeconomically disadvantaged neighborhoods. Our study suggests a complex interplay of social conditions and biological disease characteristics contributing to racial disparities in BC outcomes.
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Affiliation(s)
- Kirsten Y Eom
- Center for Health Care Research and Policy, The MetroHealth System and Case Western Reserve University, 2500 MetroHealth Dr. Rammelkamp Building R225, Cleveland, OH, 44109, USA.
| | - Kristen A Berg
- Center for Health Care Research and Policy, The MetroHealth System and Case Western Reserve University, 2500 MetroHealth Dr. Rammelkamp Building R225, Cleveland, OH, 44109, USA
| | - Natalie E Joseph
- Division of Surgical Oncology, MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH, USA
| | - Kristen Runner
- Division of Surgical Oncology, MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH, USA
| | - Yasir Tarabichi
- Division of Pulmonary, Critical Care, and Sleep Medicine, MetroHealth Medical Center of Case Western Reserve University, Cleveland, OH, USA
| | - Amer Khiyami
- Department of Pathology, MetroHealth Medical Center, Cleveland, OH, USA
| | - Adam T Perzynski
- Center for Health Care Research and Policy, The MetroHealth System and Case Western Reserve University, 2500 MetroHealth Dr. Rammelkamp Building R225, Cleveland, OH, 44109, USA
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Steiling K, Kathuria H, Echieh CP, Ost DE, Rivera MP, Begnaud A, Celedón JC, Charlot M, Dietrick F, Duma N, Fong KM, Ford JG, Gould MK, Holguin F, Pérez-Stable EJ, Tanner NT, Thomson CC, Wiener RS, Wisnivesky J. Research Priorities for Interventions to Address Health Disparities in Lung Nodule Management: An Official American Thoracic Society Research Statement. Am J Respir Crit Care Med 2023; 207:e31-e46. [PMID: 36920066 PMCID: PMC10037482 DOI: 10.1164/rccm.202212-2216st] [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] [Academic Contribution Register] [Indexed: 03/16/2023] Open
Abstract
Background: Lung nodules are common incidental findings, and timely evaluation is critical to ensure diagnosis of localized-stage and potentially curable lung cancers. Rates of guideline-concordant lung nodule evaluation are low, and the risk of delayed evaluation is higher for minoritized groups. Objectives: To summarize the existing evidence, identify knowledge gaps, and prioritize research questions related to interventions to reduce disparities in lung nodule evaluation. Methods: A multidisciplinary committee was convened to review the evidence and identify key knowledge gaps in four domains: 1) research methodology, 2) patient-level interventions, 3) clinician-level interventions, and 4) health system-level interventions. A modified Delphi approach was used to identify research priorities. Results: Key knowledge gaps included 1) a lack of standardized approaches to identify factors associated with lung nodule management disparities, 2) limited data evaluating the role of social determinants of health on disparities in lung nodule management, 3) a lack of certainty regarding the optimal strategy to improve patient-clinician communication and information transmission and/or retention, and 4) a paucity of information on the impact of patient navigators and culturally trained multidisciplinary teams. Conclusions: This statement outlines a research agenda intended to stimulate high-impact studies of interventions to mitigate disparities in lung nodule evaluation. Research questions were prioritized around the following domains: 1) need for methodologic guidelines for conducting research related to disparities in nodule management, 2) evaluating how social determinants of health influence lung nodule evaluation, 3) studying approaches to improve patient-clinician communication, and 4) evaluating the utility of patient navigators and culturally enriched multidisciplinary teams to reduce disparities.
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Abstract
PURPOSE To compare residential geography, sex, socioeconomic status (SES), and race/ethnicity of patients screened at Montefiore's Lung Cancer Screening Program with those of patients diagnosed with lung cancer, assessing whether screening efforts are appropriately focused. METHODS This retrospective cohort study involved patients within a multisite urban medical center undergoing lung cancer screening or diagnosed with lung cancer from January 1, 2015 to December 31, 2019. Inclusion criteria were residence within the Bronx, NY and age between 55 and 80 years. Institutional review board approval was obtained. Data were analyzed using the Wilcoxon two-sample t test and χ2. RESULTS The cohorts comprised 1568 (50.3%) women and 1551 (49.7%) men (mean age 65.6 ± 6.16). The Southeast Bronx had the most diagnosed lung cancers (29.96%) and screenings (31.22%). Sex did not significantly differ (p = 0.053). Cancer and screening cohorts were from impoverished neighborhoods with mean SES of - 3.11 ± 2.78 and - 3.44 ± 2.80 (p < 0.01). The lower tier SES neighborhoods demonstrated more patients in the screening cohort than cancer cohort (p = 0.01). Both cohorts included a majority of Hispanic patients, although race/ethnicity differed significantly (p = 0.01). Lower SES neighborhoods showed no significant difference in race/ethnicity between cancer and screening cohorts (p = 0.262). CONCLUSION Though statistically significant differences were found between cohorts, likely due to sample size, few clinically meaningful differences were found, implying our lung cancer screening program was effective in reaching the desired population. Demographics-based programs should be considered in global efforts to screen vulnerable populations.
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Bonner S, Ibrahim AM, Kunnath N, Dimick JB, Nathan H. Neighborhood Deprivation, Hospital Quality, and Mortality After Cancer Surgery. Ann Surg 2023; 277:73-78. [PMID: 36120854 PMCID: PMC9974548 DOI: 10.1097/sla.0000000000005712] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To evaluate if receipt of complex cancer surgery at high-quality hospitals is associated with a reduction in disparities between individuals living in the most and least deprived neighborhoods. BACKGROUND The association between social risk factors and worse surgical outcomes for patients undergoing high-risk cancer operations is well documented. To what extent neighborhood socioeconomic deprivation as an isolated social risk factor known to be associated with worse outcomes can be mitigated by hospital quality is less known. METHODS Using 100% Medicare fee-for-service claims, we analyzed data on 212,962 Medicare beneficiaries more than age 65 undergoing liver resection, rectal resection, lung resection, esophagectomy, and pancreaticoduodenectomy for cancer between 2014 and 2018. Clinical risk-adjusted 30-day postoperative mortality rates were used to stratify hospitals into quintiles of quality. Beneficiaries were stratified into quintiles based on census tract Area Deprivation Index. The association of hospital quality and neighborhood deprivation with 30-day mortality was assessed using logistic regression. RESULTS There were 212,962 patients in the cohort including 109,419 (51.4%) men with a mean (SD) age of 73.8 (5.9) years old. At low-quality hospitals, patients living in the most deprived areas had significantly higher risk-adjusted mortality than those from the least deprived areas for all procedures; esophagectomy: 22.3% versus 20.7%; P <0.003, liver resection 19.3% versus 16.4%; P <0.001, pancreatic resection 15.9% versus 12.9%; P <0.001, lung resection 8.3% versus 7.8%; P <0.001, rectal resection 8.8% versus 8.1%; P <0.001. Surgery at a high-quality hospitals was associated with no significant differences in mortality between individuals living in the most compared with least deprived neighborhoods for esophagectomy, rectal resection, liver resection, and pancreatectomy. For example, the adjusted odds of mortality between individuals living in the most deprived compared with least deprived neighborhoods following esophagectomy at low-quality hospitals (odds ratio=1.22, 95% CI: 1.14-1.31, P <0.001) was higher than at high-quality hospitals (odds ratio=0.98, 95% CI: 0.94-1.02, P =0.03). CONCLUSION AND RELEVANCE Receipt of complex cancer surgery at a high-quality hospital was associated with no significant differences in mortality between individuals living in the most deprived neighborhoods compared with least deprived. Initiatives to increase access referrals to high-quality hospitals for patients from high deprivation levels may improve outcomes and contribute to mitigating disparities.
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Affiliation(s)
- Sidra Bonner
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Health Outcomes and Policy, University of Michigan, Ann Arbor, MI
- National Clinician Scholars Program, University of Michigan, Ann Arbor, MI
| | - Andrew M. Ibrahim
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Health Outcomes and Policy, University of Michigan, Ann Arbor, MI
| | - Nick Kunnath
- Center for Health Outcomes and Policy, University of Michigan, Ann Arbor, MI
| | - Justin B. Dimick
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Health Outcomes and Policy, University of Michigan, Ann Arbor, MI
| | - Hari Nathan
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Health Outcomes and Policy, University of Michigan, Ann Arbor, MI
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Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time. BMC Public Health 2022; 22:2346. [PMID: 36517796 PMCID: PMC9748905 DOI: 10.1186/s12889-022-14779-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 06/18/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Concentrated disadvantaged areas have been disproportionately affected by COVID-19 outbreak in the United States (US). Meanwhile, highly connected areas may contribute to higher human movement, leading to higher COVID-19 cases and deaths. This study examined the associations between concentrated disadvantage, place connectivity, and COVID-19 fatality in the US over time. METHODS Concentrated disadvantage was assessed based on the spatial concentration of residents with low socioeconomic status. Place connectivity was defined as the normalized number of shared Twitter users between the county and all other counties in the contiguous US in a year (Y = 2019). COVID-19 fatality was measured as the cumulative COVID-19 deaths divided by the cumulative COVID-19 cases. Using county-level (N = 3,091) COVID-19 fatality over four time periods (up to October 31, 2021), we performed mixed-effect negative binomial regressions to examine the association between concentrated disadvantage, place connectivity, and COVID-19 fatality, considering potential state-level variations. The moderation effects of county-level place connectivity and concentrated disadvantage were analyzed. Spatially lagged variables of COVID-19 fatality were added to the models to control for the effect of spatial autocorrelations in COVID-19 fatality. RESULTS Concentrated disadvantage was significantly associated with an increased COVID-19 fatality in four time periods (p < 0.01). More importantly, moderation analysis suggested that place connectivity significantly exacerbated the harmful effect of concentrated disadvantage on COVID-19 fatality in three periods (p < 0.01), and this significant moderation effect increased over time. The moderation effects were also significant when using place connectivity data from the previous year. CONCLUSIONS Populations living in counties with both high concentrated disadvantage and high place connectivity may be at risk of a higher COVID-19 fatality. Greater COVID-19 fatality that occurs in concentrated disadvantaged counties may be partially due to higher human movement through place connectivity. In response to COVID-19 and other future infectious disease outbreaks, policymakers are encouraged to take advantage of historical disadvantage and place connectivity data in epidemic monitoring and surveillance of the disadvantaged areas that are highly connected, as well as targeting vulnerable populations and communities for additional intervention.
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Affiliation(s)
- Fengrui Jing
- Department of Geography, Geoinformation and Big Data Research Lab, University of South Carolina, Columbia, SC, 29208, USA.
- Big Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA.
| | - Zhenlong Li
- Department of Geography, Geoinformation and Big Data Research Lab, University of South Carolina, Columbia, SC, 29208, USA
- Big Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA
| | - Shan Qiao
- Big Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA
| | - Jiajia Zhang
- Big Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA
| | - Bankole Olatosi
- Big Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA
- Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA
| | - Xiaoming Li
- Big Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA
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Neighborhood disadvantage and lung cancer risk in a national cohort of never smoking Black women. Lung Cancer 2022; 173:21-27. [PMID: 36108579 PMCID: PMC9588723 DOI: 10.1016/j.lungcan.2022.08.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 07/18/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Compared to women of other races who have never smoked, Black women have a higher risk of lung cancer. Whether neighborhood disadvantage, which Black women experience at higher rates than other women, is linked to never-smoking lung cancer risk remains unclear. This study investigates the association of neighborhood disadvantage and lung cancer risk in Black never-smoking women. METHODS AND MATERIALS This research utilized data from the Black Women's Health Study, a prospective cohort of 59,000 Black women recruited from across the US in 1995 and followed by biennial questionnaires. Associations of lung cancer incidence with neighborhood-level factors (including two composite variables derived from Census Bureau data: neighborhood socioeconomic status and neighborhood concentrated disadvantage), secondhand smoke exposure, and PM2.5 were estimated using Fine-Gray subdistribution hazard models. RESULTS Among 37,650 never-smokers, 77 were diagnosed with lung cancer during follow-up from 1995 to 2018. The adjusted subdistribution hazard ratio (sHR) of lung cancer incidence with ten unit increase in neighborhood concentrated disadvantage index was 1.30 (95 % CI: 1.04, 1.63, p = 0.023). Exposure to secondhand smoke at work was associated with increased risk (sHR = 1.93, 95 % CI: 1.21, 3.10, p = 0.006), but exposure to secondhand smoke at home and PM2.5 was not. CONCLUSION Worse neighborhood concentrated disadvantage was associated with increased lung cancer risk in Black women who never smoked. These findings suggest that non-tobacco-related factors in disadvantaged neighborhoods may be linked to lung cancer risk in Black women and that these factors must be understood and targeted to achieve health equity.
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Sorice KA, Fang CY, Wiese D, Ortiz A, Chen Y, Henry KA, Lynch SM. Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum. Cancer Med 2022; 11:2125-2144. [PMID: 35166051 PMCID: PMC9119356 DOI: 10.1002/cam4.4601] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 09/15/2021] [Revised: 12/03/2021] [Accepted: 12/28/2021] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND There is extensive interest in understanding how neighborhood socioeconomic status (nSES) may affect cancer incidence or survival. However, variability regarding items included and approaches used to form a composite nSES index presents challenges in summarizing overall associations with cancer. Given recent calls for standardized measures of neighborhood sociodemographic effects in cancer disparity research, the objective of this systematic review was to identify and compare existing nSES indices studied across the cancer continuum (incidence, screening, diagnosis, treatment, survival/mortality) and summarize associations by race/ethnicity and cancer site to inform future cancer disparity studies. METHODS Using PRISMA guidelines, peer-reviewed articles published between 2010 and 2019 containing keywords related to nSES and cancer were identified in PubMed. RESULTS Twenty-four nSES indices were identified from 75 studies. In general, findings indicated a significant association between nSES and cancer outcomes (n = 64/75 studies; 85.33%), with 42/64 (65.63%) adjusting for highly-correlated individual SES factors (e.g., education). However, the direction of association differed by cancer site, race/ethnicity, and nSES index. CONCLUSIONS This review highlights several methodologic and conceptual issues surrounding nSES measurement and potential associations with cancer disparities. Recommendations pertaining to the selection of nSES measures are provided, which may help inform disparity-related disease processes and improve the identification of vulnerable populations in need of intervention.
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Affiliation(s)
- Kristen A. Sorice
- Cancer Prevention and ControlFox Chase Cancer CenterPhiladelphiaPAUSA
| | - Carolyn Y. Fang
- Cancer Prevention and ControlFox Chase Cancer CenterPhiladelphiaPAUSA
| | - Daniel Wiese
- Geography and Urban StudiesTemple UniversityPhiladelphiaPAUSA
| | - Angel Ortiz
- Cancer Prevention and ControlFox Chase Cancer CenterPhiladelphiaPAUSA
| | - Yuku Chen
- Cancer Prevention and ControlFox Chase Cancer CenterPhiladelphiaPAUSA
| | - Kevin A. Henry
- Geography and Urban StudiesTemple UniversityPhiladelphiaPAUSA
| | - Shannon M. Lynch
- Cancer Prevention and ControlFox Chase Cancer CenterPhiladelphiaPAUSA
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Pizzato M, Martinsen JI, Heikkinen S, Vignat J, Lynge E, Sparén P, La Vecchia C, Pukkala E, Vaccarella S. Socioeconomic status and risk of lung cancer by histological subtype in the Nordic countries. Cancer Med 2022; 11:1850-1859. [PMID: 35166068 PMCID: PMC9041078 DOI: 10.1002/cam4.4548] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 09/08/2021] [Revised: 12/10/2021] [Accepted: 12/10/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND While the excess in lung cancer risk among lower socioeconomic status individuals has been widely described, the magnitude of this association across lung cancer subtypes, as well as histotype-related long-term incidence trends, are inconclusively reported. AIMS We explored the variation in the incidence of the three main lung cancer histotypes (i.e. squamous cell carcinoma, small cell carcinoma and adenocarcinoma) by socioeconomic status (SES, i.e. upper and lower white collar, upper and lower blue collar, and farming/forestry/fishing) in the adult population of four Nordic countries (i.e. Sweden, Norway, Finland and Denmark). MATERIALS & METHODS We have used data from the Nordic Occupational Cancer Study (NOCCA), computing age-standardized incidence rates per 100,000 person-years truncated at ages 50-69 years, by sex, histotype, country and SES, for the period 1971-2005. We estimated relative risks and the corresponding 95% confidence intervals through Poisson regression models, including terms for SES, age, sex and country, as indicated. RESULTS A clear socioeconomic gradient, with a progressive increase in lung cancer risk as SES level decreases, was observed in all subtypes and in both sexes. Favourable lung cancer incidence trends were seen among men for squamous cell and small cell carcinomas, although for adenocarcinomas rates were increasing everywhere except for Finland. Among women, upward temporal trends were seen in all SES groups and for all subtypes, although rates increased to a greater extent for low, compared to high, SES, especially in Denmark and Norway. Farmers showed comparatively lower risks compared to other SES categories. DISCUSSION This prospective cohort study shows that substantial socioeconomic inequalities in the incidence of the most important lung cancer histotypes exist in the Nordic Countries, and that these inequalities are on the rise, especially among women. CONCLUSION Smoking habits are likely to largely explain the observed social gradient for lung cancer histotypes in both sexes.
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Affiliation(s)
- Margherita Pizzato
- Department of Clinical Sciences and Community HealthUniversità degli Studi di MilanoMilanItaly
| | | | | | - Jerome Vignat
- International Agency for Research on CancerLyonFrance
| | - Elsebeth Lynge
- Nykøbing Falster HospitalUniversity of CopenhagenDenmark
| | - Pär Sparén
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholm
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community HealthUniversità degli Studi di MilanoMilanItaly
| | - Eero Pukkala
- Finnish Cancer RegistryInstitute for Statistical and Epidemiological Cancer ResearchHelsinkiFinland
- Faculty of Social Sciences, Tampere UniversityTampereFinland
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Poulson MR, Kenzik KM, Singh S, Pavesi F, Steiling K, Litle VR, Suzuki K. Redlining, structural racism, and lung cancer screening disparities. J Thorac Cardiovasc Surg 2021; 163:1920-1930.e2. [PMID: 34774325 DOI: 10.1016/j.jtcvs.2021.08.086] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Academic Contribution Register] [Received: 03/10/2021] [Revised: 07/19/2021] [Accepted: 08/02/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The objective of this study was to understand the effect of historical redlining (preclusion from home loans and wealth-building for Black Americans) and its downstream factors on the completion of lung cancer screening in Boston. METHODS Patients within our institution were identified as eligible for lung cancer screening on the basis of the United State Preventive Service Task Force criteria and patient charts were reviewed to determine if patients completed low-dose computed tomography screening. Individual addresses were geocoded and overlayed with original 1930 Home Owner Loan Corporation redlining vector files. Structural equation models were used to estimate the odds of screening for Black and White patients, interacted with sex, in redlined and nonredlined areas. RESULTS Black patients had a 44% lower odds of screening compared with White (odds ratio [OR], 0.66; 95% CI, 0.52-0.85). With race as a mediator, Black patients in redlined areas were 61% less likely to undergo screening than White patients (OR, 0.39; 95% CI, 0.24-0.64). Similarly, in redlined areas Black women had 61% (OR, 0.39; 95% CI, 0.21-0.73) and Black men 47% (OR, 0.53; 95% CI, 0.29-0.98) lower odds of screening compared with White men in redlined areas. CONCLUSIONS Despite higher rates of lung cancer screening in redlined areas, Black race mediated worse screening rates in these areas, suggesting racist structural factors contributing to the disparities in lung cancer screening completion among Black and White patients. Furthermore, these disparities were more apparent in Black women, suggesting that racial and gender intersectional discrimination are important in lung cancer screening completion.
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Affiliation(s)
- Michael R Poulson
- Department of Surgery, Boston University School of Medicine, Boston, Mass; Department of Surgery, Boston University Medical Center, Boston, Mass
| | - Kelly M Kenzik
- Department of Surgery, Boston University Medical Center, Boston, Mass; University of Alabama at Birmingham, Birmingham, Ala
| | - Sarah Singh
- Department of Surgery, Boston University School of Medicine, Boston, Mass
| | - Flaminio Pavesi
- Department of Surgery, Boston University School of Medicine, Boston, Mass
| | - Katrina Steiling
- Department of Pulmonology, Boston University Medical Center, Boston, Mass
| | - Virginia R Litle
- Department of Surgery, Boston University School of Medicine, Boston, Mass; Department of Thoracic Surgery, Boston University Medical Center, Boston, Mass
| | - Kei Suzuki
- Department of Surgery, Boston University School of Medicine, Boston, Mass; Department of Thoracic Surgery, Boston University Medical Center, Boston, Mass.
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Nizam W, Yeo HL, Obeng-Gyasi S, Brock MV, Johnston FM. Disparities in Surgical Oncology: Management of Advanced Cancer. Ann Surg Oncol 2021; 28:8056-8073. [PMID: 34268636 DOI: 10.1245/s10434-021-10275-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 05/06/2021] [Accepted: 05/17/2021] [Indexed: 02/06/2023]
Abstract
Significant variations in the patterns of care, incidence, and mortality rates of several common cancers have been noted. These disparities have been attributed to a complex interplay of factors, including genetic, environmental, and healthcare-related components. Within this review, primarily focusing on commonly occurring cancers (breast, lung, colorectal), we initially summarize the burden of these disparities with regard to incidence and screening patterns. We then explore the interaction between several proven genetic, epigenetic, and environmental influences that are known to contribute to these disparities.
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Affiliation(s)
- Wasay Nizam
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Heather L Yeo
- Department of Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Samilia Obeng-Gyasi
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Malcolm V Brock
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Fabian M Johnston
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA. .,Division of Gastrointestinal Surgical Oncology, Peritoneal Surface Malignancy Program, Complex General Surgical Oncology Fellowship, Division of Surgical Oncology, Johns Hopkins University, Baltimore, MD, USA.
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Berg KA, Dalton JE, Gunzler DD, Coulton CJ, Freedman DA, Krieger NI, Dawson NV, Perzynski AT. The ADI-3: a revised neighborhood risk index of the social determinants of health over time and place. HEALTH SERVICES AND OUTCOMES RESEARCH METHODOLOGY 2021. [DOI: 10.1007/s10742-021-00248-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Indexed: 10/21/2022]
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Yao J, Perzynski AT, Tarabichi Y, Swarup N, Roy A. Socioeconomic Distress as a Predictor of Missed First Outpatient Newborn Visits. Cureus 2021; 13:e14132. [PMID: 33912364 PMCID: PMC8071602 DOI: 10.7759/cureus.14132] [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] [Academic Contribution Register] [Indexed: 11/06/2022] Open
Abstract
Objective To determine if the Area Deprivation Index (ADI) can serve as a predictor for patients from geographic regions of high socioeconomic distress as high risk for having no-shows to first-year newborn visits. Methods We assessed the no-show rate per patient from a large public safety-net hospital in Cleveland, Ohio, and the ADI of the census-designated tract for each patient's home geographic identifier (GEOID), aggregated into quintiles, and calculated differences in no-show-rates across census-designated tracts of different ADIs. Results A total of 2944 newborns from an approximate 18-month follow-up period between 2015-2017 were included. Large differences in no-shows per individual patient record (chi-square = 225, p = <0.001, df = 4) were found across quintiles of ADI. Heat-mapping indicated that census tracts with the highest ADIs and highest rates of no-show appointments encompass Cleveland's inner-city region. Conclusion The ADI is demonstrated to identify communities at high risk of no-show newborn appointments. Mapping these communities and their socioeconomic distress levels represented by ADI and missed appointment rate for each community can provide future direction for interventions targeted towards these communities to reduce no-show rates and improve overall community infant health.
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Affiliation(s)
- Jimmy Yao
- Pediatrics, Case Western Reserve University School of Medicine, Cleveland, USA
| | - Adam T Perzynski
- Epidemiology and Public Health, MetroHealth System, Case Western Reserve University School of Medicine, Cleveland, USA
| | - Yasir Tarabichi
- Internal Medicine and Research Informatics, MetroHealth Medical Center, Cleveland, USA
| | - Namita Swarup
- Pediatrics, MetroHealth Medical Center, Cleveland, USA
| | - Aparna Roy
- Pediatrics, MetroHealth Medical Center, Cleveland, USA
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ZHAO M, ZHAN Q. Rehabilitation treatment of enteral nutrition whey protein in lung cancer patients in southern China. FOOD SCIENCE AND TECHNOLOGY 2021. [DOI: 10.1590/fst.22620] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Academic Contribution Register] [Indexed: 12/17/2022]
Affiliation(s)
| | - Qingqing ZHAN
- Taizhou Vocational College of Science and Technology, China
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35
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Bensken WP, Krieger NI, Berg KA, Einstadter D, Dalton JE, Perzynski AT. Health Status and Chronic Disease Burden of the Homeless Population: An Analysis of Two Decades of Multi-Institutional Electronic Medical Records. J Health Care Poor Underserved 2021; 32:1619-1634. [PMID: 34421052 PMCID: PMC8477616 DOI: 10.1353/hpu.2021.0153] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Indexed: 11/11/2022]
Abstract
Using a multi-institutional EMR registry, we extracted housing status and evaluated the presence of several important comorbidities in order to describe the demographics and comorbidity burden of persons experiencing homelessness in northeast Ohio and compare this to non-homeless individuals of varying socioeconomic position. Of 1,974,766 patients in the EMR registry, we identified 15,920 (0.8%) as homeless, 351,279 (17.8%) as non-homeless and in the top quintile of area deprivation index (ADI), and 1,607,567 (81.4%) as non-homeless and in the lower four quintiles of area deprivation. The comorbidity burden was highest in the homeless population with depression (48.1%), anxiety (45.8%), hypertension (44.2%), cardiovascular disease (18.4%), and hepatitis (18.1%) among the most prevalent conditions. We conclude that it is possible to identify homeless individuals and document their comorbidity burden using a multi-institutional EMR registry, in order to guide future interventions to address the health of the homeless at the health-system and community level.
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Kats DJ, Adie Y, Tlimat A, Greco PJ, Kaelber DC, Tarabichi Y. Assessing Different Approaches to Leveraging Historical Smoking Exposure Data to Better Select Lung Cancer Screening Candidates: A Retrospective Validation Study. Nicotine Tob Res 2020; 23:1334-1340. [PMID: 32974635 DOI: 10.1093/ntr/ntaa192] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 12/04/2019] [Accepted: 09/22/2020] [Indexed: 12/17/2022]
Abstract
INTRODUCTION There is mounting interest in the use of risk prediction models to guide lung cancer screening. Electronic health records (EHRs) could facilitate such an approach, but smoking exposure documentation is notoriously inaccurate. While the negative impact of inaccurate EHR data on screening practices reliant on dichotomized age and smoking exposure-based criteria has been demonstrated, less is known regarding its impact on the performance of model-based screening. AIMS AND METHODS Data were collected from a cohort of 37 422 ever-smokers between the ages of 55 and 74, seen at an academic safety-net healthcare system between 1999 and 2018. The National Lung Cancer Screening Trial (NLST) criteria, PLCOM2012 and LCRAT lung cancer risk prediction models were validated against time to lung cancer diagnosis. Discrimination (area under the receiver operator curve [AUC]) and calibration were assessed. The effect of substituting the last documented smoking variables with differentially retrieved "history conscious" measures was also determined. RESULTS The PLCOM2012 and LCRAT models had AUCs of 0.71 (95% CI, 0.69 to 0.73) and 0.72 (95% CI, 0.70 to 0.74), respectively. Compared with the NLST criteria, PLCOM2012 had a significantly greater time-dependent sensitivity (69.9% vs. 64.5%, p < .01) and specificity (58.3% vs. 56.4%, p < .001). Unlike the NLST criteria, the performances of the PLCOM2012 and LCRAT models were not prone to historical variability in smoking exposure documentation. CONCLUSIONS Despite the inaccuracies of EHR-documented smoking histories, leveraging model-based lung cancer risk estimation may be a reasonable strategy for screening, and is of greater value compared with using NLST criteria in the same setting. IMPLICATIONS EHRs are potentially well suited to aid in the risk-based selection of lung cancer screening candidates, but healthcare providers and systems may elect not to leverage EHR data due to prior work that has shown limitations in structured smoking exposure data quality. Our findings suggest that despite potential inaccuracies in the underlying EHR data, screening approaches that use multivariable models may perform significantly better than approaches that rely on simpler age and exposure-based criteria. These results should encourage providers to consider using pre-existing smoking exposure data with a model-based approach to guide lung cancer screening practices.
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Affiliation(s)
- Daniel J Kats
- School of Medicine, Case Western Reserve University, Cleveland, OH.,Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH
| | - Yosra Adie
- Center for Reducing Health Disparities, The MetroHealth System, Cleveland, OH
| | - Abdulhakim Tlimat
- Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH
| | - Peter J Greco
- School of Medicine, Case Western Reserve University, Cleveland, OH.,Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH
| | - David C Kaelber
- School of Medicine, Case Western Reserve University, Cleveland, OH.,Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH
| | - Yasir Tarabichi
- Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH.,Division of Pulmonary, Critical Care, and Sleep Medicine, The MetroHealth System, Cleveland, OH
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Arora KS, Ascha M, Wilkinson B, Verbus E, Montague M, Morris J, Einstadter D. Association between neighborhood disadvantage and fulfillment of desired postpartum sterilization. BMC Public Health 2020; 20:1440. [PMID: 32962666 PMCID: PMC7509918 DOI: 10.1186/s12889-020-09540-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 02/17/2020] [Accepted: 09/14/2020] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Adequacy of prenatal care is associated with fulfillment of postpartum sterilization requests, though it is unclear whether this relationship is indicative of broader social and structural determinants of health or reflects the mandatory Medicaid waiting period required before sterilization can occur. We evaluated the relationship between neighborhood disadvantage (operationalized by the Area Deprivation Index; ADI) and the likelihood of undergoing postpartum sterilization. METHODS Secondary analysis of a single-center retrospective cohort study examining 8654 postpartum patients from 2012 to 2014, of whom 1332 (15.4%) desired postpartum sterilization (as abstracted from the medical record at time of delivery hospitalization discharge) and for whom ADI could be calculated via geocoding their home address. We determined the association between ADI and sterilization completion, postpartum visit attendance, and subsequent pregnancy within 365 days of delivery via logistic regression and time to sterilization via Cox proportional hazards regression. RESULTS Of the 1332 patients included in the analysis, patients living in more disadvantaged neighborhoods were more likely to be younger, more parous, delivered vaginally, Black, unmarried, not college educated, and insured via Medicaid. Compared to patients living in less disadvantaged areas, patients living in more disadvantaged areas were less likely to obtain sterilization (44.8% vs. 53.5%, OR 0.84, 95% CI 0.75-0.93), experienced greater delays in the time to sterilization (HR 1.23, 95% CI 1.06-1.44), were less likely to attend postpartum care (58.9% vs 68.9%, OR 0.86, CI 0.79-0.93), and were more likely to have a subsequent pregnancy within a year of delivery (15.1% vs 10.4%, OR 1.56, 95% CI 1.10-1.94). In insurance-stratified analysis, for patients with Medicaid, but not private insurance, as neighborhood disadvantage increased, the rate of postpartum sterilization decreased. The rate of subsequent pregnancy was positively associated with neighborhood disadvantage for both Medicaid as well as privately insured patients. CONCLUSION Living in an area with increased neighborhood disadvantage is associated with worse outcomes in terms of desired postpartum sterilization, especially for patients with Medicaid insurance. While revising the Medicaid sterilization policy is important, addressing social determinants of health may also play a powerful role in reducing inequities in fulfillment of postpartum sterilization.
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Affiliation(s)
- Kavita Shah Arora
- Department of Obstetrics and Gynecology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH, USA.
| | - Mustafa Ascha
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Barbara Wilkinson
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Emily Verbus
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Mary Montague
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Jane Morris
- Department of Obstetrics and Gynecology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Douglas Einstadter
- Center for Health Care Research and Policy and the Departments of Medicine, and Population and Quantitative Health Sciences, MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH, USA
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Tying Structural Racism to Human Immunodeficiency Virus Viral Suppression. Clin Infect Dis 2020; 72:e646-e648. [DOI: 10.1093/cid/ciaa1252] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 08/10/2020] [Indexed: 11/14/2022] Open
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