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Lord J, Odoi A. Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach. Int J Health Geogr 2024; 23:1. [PMID: 38184599 PMCID: PMC10771651 DOI: 10.1186/s12942-023-00360-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 12/04/2023] [Indexed: 01/08/2024] Open
Abstract
BACKGROUND Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic disparities can guide resource allocation and help ensure that future interventions are designed to meet the specific needs of these communities. Therefore, the objectives of this study were (1) to identify determinants of diabetes-related hospitalization rates at the ZIP code tabulation area (ZCTA) level in Florida, and (2) assess if the strengths of these relationships vary by geographic location and at different spatial scales. METHODS Diabetes-related hospitalization (DRH) rates were computed at the ZCTA level using data from 2016 to 2019. A global ordinary least squares regression model was fit to identify socioeconomic, demographic, healthcare-related, and built environment characteristics associated with log-transformed DRH rates. A multiscale geographically weighted regression (MGWR) model was then fit to investigate and describe spatial heterogeneity of regression coefficients. RESULTS Populations of ZCTAs with high rates of diabetes-related hospitalizations tended to have higher proportions of older adults (p < 0.0001) and non-Hispanic Black residents (p = 0.003). In addition, DRH rates were associated with higher levels of unemployment (p = 0.001), uninsurance (p < 0.0001), and lack of access to a vehicle (p = 0.002). Population density and median household income had significant (p < 0.0001) negative associations with DRH rates. Non-stationary variables exhibited spatial heterogeneity at local (percent non-Hispanic Black, educational attainment), regional (age composition, unemployment, health insurance coverage), and statewide scales (population density, income, vehicle access). CONCLUSIONS The findings of this study underscore the importance of socioeconomic resources and rurality in shaping population health. Understanding the spatial context of the observed relationships provides valuable insights to guide needs-based, locally-focused health planning to reduce disparities in the burden of potentially avoidable hospitalizations.
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Affiliation(s)
- Jennifer Lord
- Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of Tennessee, Knoxville, TN, USA
| | - Agricola Odoi
- Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of Tennessee, Knoxville, TN, USA.
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2
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Lord J, Reid K, Duclos C, Mai A, Odoi A. Investigation of predictors of severity of diabetes complications among hospitalized patients with diabetes in Florida, 2016-2019. BMC Public Health 2023; 23:2424. [PMID: 38053065 PMCID: PMC10698929 DOI: 10.1186/s12889-023-17288-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Severe diabetes complications impact the quality of life of patients and may lead to premature deaths. However, these complications are preventable through proper glycemic control and management of risk factors. Understanding the risk factors of complications is important in guiding efforts to manage diabetes and reduce risks of its complications. Therefore, the objective of this study was to identify risk factors of severe diabetes complications among adult hospitalized patients with diabetes in Florida. METHODS Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Adapted Diabetes Complications Severity Index (aDCSI) scores were computed for 1,061,140 unique adult patients with a diagnosis of diabetes. Severe complications were defined as those with an aDCSI ≥ 4. Population average models, estimated using generalized estimating equations, were used to identify individual- and area-level predictors of severe diabetes complications. RESULTS Non-Hispanic Black patients had the highest odds of severe diabetes complications compared to non-Hispanic White patients among both males (Odds Ratio [OR] = 1.20, 95% Confidence Interval [CI]: 1.17, 1.23) and females (OR = 1.27, 95% CI: 1.23, 1.31). Comorbidities associated with higher odds of severe complications included hypertension (OR = 2.30, 95% CI: 2.23, 2.37), hyperlipidemia (OR = 1.29, 95% CI: 1.27, 1.31), obesity (OR = 1.24, 95% CI: 1.21, 1.26) and depression (OR = 1.09, 95% CI: 1.07, 1.11), while the odds were lower for patients with a diagnosis of arthritis (OR = 0.81, 95% CI: 0.79, 0.82). Type of health insurance coverage was associated with the severity of diabetes complications, with significantly higher odds of severe complications among Medicare (OR = 1.85, 95% CI: 1.80, 1.90) and Medicaid (OR = 1.83, 95% CI: 1.77, 1.90) patients compared to those with private insurance. Residing within the least socioeconomically deprived ZIP code tabulation areas (ZCTAs) in the state had a protective effect compared to residing outside of these areas. CONCLUSIONS Racial, ethnic, and socioeconomic disparities in the severity of diabetes complications exist among hospitalized patients in Florida. The observed disparities likely reflect challenges to maintaining glycemic control and managing cardiovascular risk factors, particularly for patients with multiple chronic conditions. Interventions to improve diabetes management should focus on populations with disproportionately high burdens of severe complications to improve quality of life and decrease premature mortality among adult patients with diabetes in Florida.
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Affiliation(s)
- Jennifer Lord
- Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of Tennessee, Knoxville, TN, USA
| | - Keshia Reid
- Florida Department of Health, Tallahassee, FL, USA
| | - Chris Duclos
- Florida Department of Health, Tallahassee, FL, USA
| | - Alan Mai
- Florida Department of Health, Tallahassee, FL, USA
| | - Agricola Odoi
- Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of Tennessee, Knoxville, TN, USA.
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3
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Rony M, Quintero-Arias C, Osorio M, Ararso Y, Norman EM, Ravenell JE, Wall SP, Lee DC. Perceptions of the Healthcare System Among Black Men with Previously Undiagnosed Diabetes and Prediabetes. J Racial Ethn Health Disparities 2023; 10:3150-3158. [PMID: 36520369 PMCID: PMC10267290 DOI: 10.1007/s40615-022-01488-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/29/2022] [Accepted: 12/02/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Given the significant disparities in diabetes burden and access to care, this study uses qualitative interviews of Black men having HbA1c levels consistent with previously undiagnosed diabetes or prediabetes to understand their perceptions of the healthcare system. RESEARCH DESIGN AND METHODS We recruited Black men from Black-owned barbershops in Brooklyn, NY, who were screened using point-of-care HbA1c tests. Among those with HbA1c levels within prediabetes or diabetes thresholds, qualitative interviews were conducted to uncover prevalent themes related to their overall health status, health behaviors, utilization of healthcare services, and experiences with the healthcare system. We used a theoretical framework from the William and Mohammed medical mistrust model to guide our qualitative analysis. RESULTS Fifty-two Black men without a prior history of diabetes and an HbA1c reading at or above 5.7% were interviewed. Many participants stated that their health was in good condition. Some participants expressed being surprised by their abnormal HbA1c reading because it was not previously mentioned by their healthcare providers. Furthermore, many of our participants shared recent examples of negative interactions with physicians when describing their experiences with the healthcare system. Finally, several participants cited a preference for incorporating non-pharmaceutical options in their diabetes management plans. CONCLUSION To help alleviate the disparity in diabetes burden among Black men, healthcare providers should take a more active role in recognizing and addressing their own implicit biases, engage in understanding the specific healthcare needs and expectations of each patient, and consider emphasizing non-medication approaches to improve glycemic control.
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Affiliation(s)
- Melissa Rony
- Department of Emergency Medicine, NYU School of Medicine, New York, NY, 10016, USA
| | | | - Marcela Osorio
- Department of Emergency Medicine, NYU School of Medicine, New York, NY, 10016, USA
| | - Yonathan Ararso
- Department of Emergency Medicine, NYU School of Medicine, New York, NY, 10016, USA
| | - Elizabeth M Norman
- Steinhardt School of Culture, Education, and Human Development, New York University, New York, NY, 10003, USA
| | - Joseph E Ravenell
- Department of Population Health, NYU School of Medicine, New York, NY, 10016, USA
| | - Stephen P Wall
- Department of Emergency Medicine, NYU School of Medicine, New York, NY, 10016, USA
- Department of Population Health, NYU School of Medicine, New York, NY, 10016, USA
| | - David C Lee
- Department of Emergency Medicine, NYU School of Medicine, New York, NY, 10016, USA.
- Department of Population Health, NYU School of Medicine, New York, NY, 10016, USA.
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4
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Lee DC, Orstad SL, Kanchi R, Adhikari S, Rummo PE, Titus AR, Aleman JO, Elbel B, Thorpe LE, Schwartz MD. Demographic, social and geographic factors associated with glycaemic control among US Veterans with new onset type 2 diabetes: a retrospective cohort study. BMJ Open 2023; 13:e075599. [PMID: 37832984 PMCID: PMC10582880 DOI: 10.1136/bmjopen-2023-075599] [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] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/07/2023] [Indexed: 10/15/2023] Open
Abstract
OBJECTIVES This study evaluated whether a range of demographic, social and geographic factors had an influence on glycaemic control longitudinally after an initial diagnosis of diabetes. DESIGN, SETTING AND PARTICIPANTS We used the US Veterans Administration Diabetes Risk national cohort to track glycaemic control among patients 20-79-year old with a new diagnosis of type 2 diabetes. PRIMARY OUTCOME AND METHODS We modelled associations between glycaemic control at follow-up clinical assessments and geographic factors including neighbourhood race/ethnicity, socioeconomic, land use and food environment measures. We also adjusted for individual demographics, comorbidities, haemoglobin A1c (HbA1c) at diagnosis and duration of follow-up. These factors were analysed within strata of community type: high-density urban, low-density urban, suburban/small town and rural areas. RESULTS We analysed 246 079 Veterans who developed a new type 2 diabetes diagnosis in 2008-2018 and had at least 2 years of follow-up data available. Across all community types, we found that lower baseline HbA1c and female sex were strongly associated with a higher likelihood of within-range HbA1c at follow-up. Surprisingly, patients who were older or had more documented comorbidities were more likely to have within-range follow-up HbA1c results. While there was variation by community type, none of the geographic measures analysed consistently demonstrated significant associations with glycaemic control across all community types.
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Affiliation(s)
- David C Lee
- Emergency Medicine, NYU Grossman School of Medicine, New York City, New York, USA
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
| | - Stephanie L Orstad
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
- Medicine, NYU Grossman School of Medicine, New York City, New York, USA
| | - Rania Kanchi
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
| | - Samrachana Adhikari
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
| | - Pasquale E Rummo
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
| | - Andrea R Titus
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
| | - Jose O Aleman
- Medicine, NYU Grossman School of Medicine, New York City, New York, USA
- Veterans Affairs, VA New York Harbor Healthcare System, New York City, New York, USA
| | - Brian Elbel
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
- Wagner Graduate School of Public Service, NYU, New York City, New York, USA
| | - Lorna E Thorpe
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
| | - Mark D Schwartz
- Population Health, NYU Grossman School of Medicine, New York City, New York, USA
- Veterans Affairs, VA New York Harbor Healthcare System, New York City, New York, USA
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5
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Ritchie ND, Gurfinkel D, Sajatovic M, Carter M, Glasgow RE, Holtrop JS, Waxmonsky JA, Kwan BM. A Multi-Method Study of Patient Reach and Attendance in a Pragmatic Trial of Diabetes Shared Medical Appointments. Clin Diabetes 2023; 41:526-538. [PMID: 37849523 PMCID: PMC10577507 DOI: 10.2337/cd23-0015] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
Shared medical appointments (SMAs) are an evidence-based approach to diabetes care in primary care settings, yet practices can struggle to ensure participation, especially among racial and ethnic minority and low-income patients. We conducted a multimethod evaluation of reach and attendance in the Invested in Diabetes study of the comparative effectiveness of two SMA delivery models (standardized and patient-driven) in two practice settings (federally qualified health centers [FQHCs] and clinics serving more commercially insured patients). Through this study, 22 practices reached 6.2% of patients with diabetes through SMAs over 3 years, with good attendance for both practice types and both SMA delivery models. FQHCs were especially successful at enrolling underserved populations and improved attendance with virtual SMAs.
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Affiliation(s)
- Natalie D. Ritchie
- Center for Health Systems Research, Denver Health & Hospital Authority, Denver, CO
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Dennis Gurfinkel
- Adult & Child Center for Outcomes Research & Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Martha Sajatovic
- Department of Psychiatry, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Madelaine Carter
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO
| | - Russell E. Glasgow
- Adult & Child Center for Outcomes Research & Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO
- Eastern Colorado Geriatric Research Education and Clinical Center, Aurora, CO
- Department of Family Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Jodi Summers Holtrop
- Adult & Child Center for Outcomes Research & Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Family Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Jeanette A. Waxmonsky
- Adult & Child Center for Outcomes Research & Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Family Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Bethany M. Kwan
- Adult & Child Center for Outcomes Research & Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO
- Department of Family Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
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Lee DC, Reddy H, Koziatek CA, Klein N, Chitnis A, Creary K, Francois G, Akindutire O, Femia R, Caldwell R. Expanding Diabetes Screening to Identify Undiagnosed Cases Among Emergency Department Patients. West J Emerg Med 2023; 24:962-966. [PMID: 37788038 PMCID: PMC10527841 DOI: 10.5811/westjem.59957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 05/30/2023] [Accepted: 07/08/2023] [Indexed: 10/04/2023] Open
Abstract
Introduction: Diabetes screening traditionally occurs in primary care settings, but many who are at high risk face barriers to accessing care and therefore delays in diagnosis and treatment. These same high-risk patients do frequently visit emergency departments (ED) and, therefore, might benefit from screening at that time. Our objective in this study was to analyze one year of results from a multisite, ED-based diabetes screening program. Methods: We assessed the demographics of patients screened, identified differences in rates of newly diagnosed diabetes by clinical site, and the geographic distribution of high and low hemoglobin A1c (HbA1c) results. Results: We performed diabetes screening (HbA1c) among 4,211 ED patients 40-70 years old, with a body mass index ≥25, and no prior history of diabetes. Of these patients screened for diabetes, 9% had a HbA1c result consistent with undiagnosed diabetes, and nearly half of these patients had a HbA1c ≥9.0%. Rates of newly diagnosed diabetes were notably higher at EDs located in neighborhoods of lower socioeconomic status. Conclusion: Emergency department-based diabetes screening may be a practical and scalable solution to screen high-risk patients and reduce health disparities experienced in specific neighborhoods and demographic groups.
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Affiliation(s)
- David C Lee
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
- New York University, NYU Grossman School of Medicine, Department of Population Health, New York, New York
- Bellevue Hospital Center, Department of Emergency Medicine, New York, New York
| | - Harita Reddy
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
| | - Christian A Koziatek
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
- Bellevue Hospital Center, Department of Emergency Medicine, New York, New York
| | - Noah Klein
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
| | - Anup Chitnis
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
| | - Kashif Creary
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
| | - Gerard Francois
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
| | - Olumide Akindutire
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
| | - Robert Femia
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York
- Bellevue Hospital Center, Department of Emergency Medicine, New York, New York
| | - Reed Caldwell
- New York University, NYU Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, New York,
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7
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Xu W, López-Cepero A, O'Neill HJ, Plym A, Austin SB, Mattei J. Food Insecurity Is Associated With Dysfunctional Eating Behaviors Among Adults in Puerto Rico. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2023; 55:644-650. [PMID: 37395692 PMCID: PMC10526718 DOI: 10.1016/j.jneb.2023.05.255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 05/01/2023] [Accepted: 05/29/2023] [Indexed: 07/04/2023]
Abstract
OBJECTIVE To examine the association between food insecurity and dysfunctional eating behaviors among adults in Puerto Rico. METHODS Data from 865 participants were obtained from baseline interviews from the Puerto Rico Observational Study of Psychosocial, Environmental, and Chronic Disease Trends (PROSPECT) cohort. The association between food insecurity and emotional eating (EE) and uncontrolled eating (UE) (categorized as no/moderate/high) was examined using multinomial logistic models. Potential mediation by perceived stress was explored. RESULTS The prevalence of food insecurity was 20.3%. Compared with adults with food security, adults with food insecurity had higher odds of both moderate EE (odds ratio [OR], 1.91; 95% confidence interval [CI], 1.18-3.09) and high EE (OR, 2.85; 95% CI, 1.75-4.64), and both moderate UE (OR, 1.78; 95% CI, 0.91-3.50) and high UE (OR, 3.28; 95% CI, 1.70-6.33). Perceived stress slightly attenuated these associations. CONCLUSIONS AND IMPLICATIONS Food insecurity was associated with a higher likelihood of engaging in dysfunctional eating behaviors. Interventions alleviating food insecurity or stress might help adults sustain healthy eating behaviors.
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Affiliation(s)
- Wanqing Xu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Andrea López-Cepero
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - H June O'Neill
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Anna Plym
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - S Bryn Austin
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA; Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA
| | - Josiemer Mattei
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
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8
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Javid FA, Waheed FA, Zainab N, Khan H, Amin I, Bham A, Ghoghawala M, Sheraz A, Haloub R. COVID-19 and diabetes in 2020: a systematic review. J Pharm Policy Pract 2023; 16:42. [PMID: 36895058 PMCID: PMC9998019 DOI: 10.1186/s40545-023-00546-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 02/22/2023] [Indexed: 03/11/2023] Open
Abstract
Attempts were made to review the literature on diabetic patients who experience complications when they contract COVID-19, and to determine whether ethnicity and other risk factors play an important role in the development of symptoms and their severity, as well as responding to medications. A literature search was performed using five keywords, namely COVID-19, diabetes, ethnicity, medications, and risk factors between January 2019 and December 2020 using electronic databases such as PubMed, Science Direct, Google Scholar, Springer Link, and Scopus. Forty studies were included. The review indicated that diabetes was a significant risk factor for poorer outcomes and increased mortality associated with COVID-19. There were several risk factors for diabetic patients that increased their likelihood of poorer outcomes associated with COVID-19. These included black and Asian ethnicity, male sex with high BMI. In conclusion, patients with diabetes of black or Asian origin with high BMI, male sex, and older age had an increased risk of poorer outcomes associated with COVID-19. This highlights the importance of considering the history of the patient in prioritising care and treatment.
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Affiliation(s)
- Farideh A Javid
- Department of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK.
| | - Fadi Abdul Waheed
- Department of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK
| | - Nisa Zainab
- Department of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK
| | - Hamza Khan
- Department of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK
| | - Ibrahim Amin
- Department of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK
| | - Ammar Bham
- Department of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK
| | - Mohammed Ghoghawala
- Department of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK
| | - Aneem Sheraz
- Department of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK
| | - Radi Haloub
- Biotech and Pharmaceutical Management, Global Business School for Health (GBSH), University College London (UCL), London, UK
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9
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Treister-Goltzman Y, Peleg R. Adolescent Obesity and Type Two Diabetes in Young Adults in the Minority Muslim Bedouin Population in Southern Israel. J Community Health 2022; 48:420-429. [DOI: 10.1007/s10900-022-01178-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2022] [Indexed: 12/24/2022]
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10
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Turbow SD, Uppal TS, Haw JS, Chehal P, Fernandes G, Shah M, Rajpathak S, Ali MK, Narayan KMV. Trends and Demographic Disparities in Diabetes Hospital Admissions: Analyses of Serial Cross-Sectional National and State Data, 2008-2017. Diabetes Care 2022; 45:1355-1363. [PMID: 35380629 PMCID: PMC9210860 DOI: 10.2337/dc21-1837] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 03/06/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To analyze national and state-specific trends in diabetes-related hospital admissions and determine whether disparities in rates of admission exist between demographic groups and geographically dispersed states. RESEARCH DESIGN AND METHODS We conducted serial cross-sectional analyses of the National Inpatient Sample (2008, 2011, 2014, and 2016) and State Inpatient Databases for Arizona, Florida, Kentucky, Iowa, Maryland, Nebraska, New Jersey, New York, North Carolina, Utah, and Vermont for 2008, 2011, 2014, and 2016/2017 among adult patients with type 1 and type 2 diabetes-related ICD codes (ICD-9 [250.XX] or ICD-10 [E10.XXX, E11.XXX, and E13.XXX]. We measured hospitalization rates for people with diabetes (all-cause hospitalizations) and for admissions with a primary diagnosis of diabetes or diabetes-related complications (diabetes-specific hospitalizations) per 10,000 people per year. RESULTS Nationally, all-cause and diabetes-specific hospitalizations declined by 3.1% (95% CI -5.5, -0.7) and 19.1% (95% CI -21.6, -16.6), respectively, over 2008 to 2016. The analysis of individual states showed that diabetes-specific admissions in individuals ≥65 years old declined during this time (16.3-48.8% decrease) but increased among patients 18-29 years old (10.5-81.5% increase) and that rural diabetes-specific admissions decreased in just over half of the included states (15.2-69.2% decrease). There were no differences in changes in admission rates among different racial/ethnic groups. CONCLUSIONS Overall, rates of diabetes-related hospitalizations decreased over 2008 to 2016/2017, but there were large state-level differences across subgroups of patients. The rise in diabetes hospitalizations among young adults is a cause for concern. These state- and subpopulation-level differences highlight the need for state-level policies and interventions to address disparities in diabetes health care use.
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Affiliation(s)
- Sara D Turbow
- Division of General Internal Medicine, Department of Medicine, School of Medicine, Emory University, Atlanta, GA.,Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Tegveer S Uppal
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - J Sonya Haw
- Division of Endocrinology and Metabolism, Department of Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Puneet Chehal
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA
| | | | - Megha Shah
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
| | | | - Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA.,Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA.,Division of Endocrinology and Metabolism, Department of Medicine, School of Medicine, Emory University, Atlanta, GA
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11
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Feng Y, Li X, Mao Z, Huo W, Hou J, Wang C, Li W, Yu S. Heritability Estimation and Environmental Risk Assessment for Type 2 Diabetes Mellitus in a Rural Region in Henan, China: Family-Based and Case-Control Studies. Front Public Health 2021; 9:690889. [PMID: 34307284 PMCID: PMC8295650 DOI: 10.3389/fpubh.2021.690889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 06/08/2021] [Indexed: 11/15/2022] Open
Abstract
Objective: The prevalence of type 2 diabetes mellitus (T2DM) varies greatly in different regions and populations. This study aims to assess the heritability and environmental risk factors of T2DM among rural Chinese adults. Methods: Thousand five hundred thirty three participants from 499 extended families, which included 24 nuclear families, were recruited in the family-based study to assess the heritable risk of T2DM. Heritability of T2DM was estimated by the Falconer method. Using conditional logistic regression model, couple case-control study involving 127 couples were applied to assess the environmental risk factors of T2DM. Results: Compared with the Henan Rural Cohort, T2DM was significantly clustered in the nuclear families (OR: 8.389, 95% CI: 5.537–12.711, P < 0.001) and heritability was 0.74. No association between the heredity of T2DM and sex was observed between the extended families and the Henan Rural Cohort. Besides, results from the couple case-control study showed that physical activity (OR: 0.482, 95% CI: 0.261–0.893, P = 0.020) and fat intake (OR: 3.036, 95% CI: 1.070–8.610, P = 0.037) was associated with T2DM, and the proportion of offspring engaged in medium and high physical activity was higher than that of mothers in mother-offspring pairs. Conclusion: People with a family history of T2DM may have a higher risk of developing T2DM, however, there was no difference in genetic risk between males and females. Adherence to active physical activity and low fat intake can reduce the risk of T2DM.
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Affiliation(s)
- Yinhua Feng
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xing Li
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wenjie Li
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Songcheng Yu
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
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Holden TM, Richardson RAK, Arevalo P, Duffus WA, Runge M, Whitney E, Wise L, Ezike NO, Patrick S, Cobey S, Gerardin J. Geographic and demographic heterogeneity of SARS-CoV-2 diagnostic testing in Illinois, USA, March to December 2020. BMC Public Health 2021; 21:1105. [PMID: 34107947 PMCID: PMC8189821 DOI: 10.1186/s12889-021-11177-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 05/26/2021] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Availability of SARS-CoV-2 testing in the United States (U.S.) has fluctuated through the course of the COVID-19 pandemic, including in the U.S. state of Illinois. Despite substantial ramp-up in test volume, access to SARS-CoV-2 testing remains limited, heterogeneous, and insufficient to control spread. METHODS We compared SARS-CoV-2 testing rates across geographic regions, over time, and by demographic characteristics (i.e., age and racial/ethnic groups) in Illinois during March through December 2020. We compared age-matched case fatality ratios and infection fatality ratios through time to estimate the fraction of SARS-CoV-2 infections that have been detected through diagnostic testing. RESULTS By the end of 2020, initial geographic differences in testing rates had closed substantially. Case fatality ratios were higher in non-Hispanic Black and Hispanic/Latino populations in Illinois relative to non-Hispanic White populations, suggesting that tests were insufficient to accurately capture the true burden of COVID-19 disease in the minority populations during the initial epidemic wave. While testing disparities decreased during 2020, Hispanic/Latino populations consistently remained the least tested at 1.87 tests per 1000 population per day compared with 2.58 and 2.87 for non-Hispanic Black and non-Hispanic White populations, respectively, at the end of 2020. Despite a large expansion in testing since the beginning of the first wave of the epidemic, we estimated that over half (50-80%) of all SARS-CoV-2 infections were not detected by diagnostic testing and continued to evade surveillance. CONCLUSIONS Systematic methods for identifying relatively under-tested geographic regions and demographic groups may enable policymakers to regularly monitor and evaluate the shifting landscape of diagnostic testing, allowing officials to prioritize allocation of testing resources to reduce disparities in COVID-19 burden and eventually reduce SARS-CoV-2 transmission.
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Affiliation(s)
- Tobias M Holden
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Reese A K Richardson
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
| | - Philip Arevalo
- Department of Ecology and Evolutionary Biology, University of Chicago, Chicago, IL, USA
| | - Wayne A Duffus
- Center for Preparedness and Response, Division of State and Local Readiness, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Illinois Department of Public Health, Springfield, IL, USA
| | - Manuela Runge
- Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA
| | - Elena Whitney
- Department of Ecology and Evolutionary Biology, University of Chicago, Chicago, IL, USA
| | - Leslie Wise
- Illinois Department of Public Health, Springfield, IL, USA
| | - Ngozi O Ezike
- Illinois Department of Public Health, Springfield, IL, USA
| | - Sarah Patrick
- Illinois Department of Public Health, Springfield, IL, USA
| | - Sarah Cobey
- Department of Ecology and Evolutionary Biology, University of Chicago, Chicago, IL, USA
| | - Jaline Gerardin
- Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA.
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13
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Holden TM, Richardson RA, Arevalo P, Duffus WA, Runge M, Whitney E, Wise L, Ezike NO, Patrick S, Cobey S, Gerardin J. Geographic and demographic heterogeneity of SARS-CoV-2 diagnostic testing in Illinois, USA, March to December 2020. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.04.14.21255476. [PMID: 33907762 PMCID: PMC8077585 DOI: 10.1101/2021.04.14.21255476] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background Availability of SARS-CoV-2 testing in the United States (U.S.) has fluctuated through the course of the COVID-19 pandemic, including in the U.S. state of Illinois. Despite substantial ramp-up in test volume, access to SARS-CoV-2 testing remains limited, heterogeneous, and insufficient to control spread. Methods We compared SARS-CoV-2 testing rates across geographic regions, over time, and by demographic characteristics (i.e., age and racial/ethnic groups) in Illinois during March through December 2020. We compared age-matched case fatality ratios and infection fatality ratios through time to estimate the fraction of SARS-CoV-2 infections that have been detected through diagnostic testing. Results By the end of 2020, initial geographic differences in testing rates had closed substantially. Case fatality ratios were higher in non-Hispanic Black and Hispanic/Latino populations in Illinois relative to non-Hispanic White populations, suggesting that tests were insufficient to accurately capture the true burden of COVID-19 disease in the minority populations during the initial epidemic wave. While testing disparities decreased during 2020, Hispanic/Latino populations consistently remained the least tested at 1.87 tests per 1000 population per day compared with 2.58 and 2.87 for non-Hispanic Black and non-Hispanic White populations, respectively, at the end of 2020. Despite a large expansion in testing since the beginning of the first wave of the epidemic, we estimated that over half (50-80%) of all SARS-CoV-2 infections were not detected by diagnostic testing and continued to evade surveillance. Conclusions Systematic methods for identifying relatively under-tested geographic regions and demographic groups may enable policymakers to regularly monitor and evaluate the shifting landscape of diagnostic testing, allowing officials to prioritize allocation of testing resources to reduce disparities in COVID-19 burden and eventually reduce SARS-CoV-2 transmission.
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Affiliation(s)
- Tobias M Holden
- Northwestern University Feinberg School of Medicine,
Chicago IL
| | - Reese A.K. Richardson
- Department of Chemical and Biological Engineering,
Northwestern University, Evanston IL
| | - Philip Arevalo
- Department of Ecology and Evolutionary Biology, University
of Chicago, Chicago IL
| | - Wayne A. Duffus
- Center for Preparedness and Response, Division of State and
Local Readiness, Centers for Disease Control and Prevention, Atlanta GA
- Illinois Department of Public Health, Springfield IL
| | - Manuela Runge
- Department of Preventive Medicine and Institute for Global
Health, Northwestern University, Chicago IL
| | - Elena Whitney
- Department of Ecology and Evolutionary Biology, University
of Chicago, Chicago IL
| | - Leslie Wise
- Illinois Department of Public Health, Springfield IL
| | | | - Sarah Patrick
- Illinois Department of Public Health, Springfield IL
| | - Sarah Cobey
- Department of Ecology and Evolutionary Biology, University
of Chicago, Chicago IL
| | - Jaline Gerardin
- Department of Preventive Medicine and Institute for Global
Health, Northwestern University, Chicago IL
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14
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Does the Encounter Type Matter When Defining Diabetes Complications in Electronic Health Records? Med Care 2020; 58 Suppl 6 Suppl 1:S53-S59. [PMID: 32011424 DOI: 10.1097/mlr.0000000000001297] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Electronic health records (EHRs) and claims records are widely used in defining type 2 diabetes mellitus (T2DM) complications across different types of health care encounters. OBJECTIVE This study investigates whether using different EHR encounter types to define diabetes complications may lead to different results when examining associations between diabetes complications and their risk factors in patients with T2DM. RESEARCH DESIGN The study cohort of 64,855 adult patients with T2DM was created from EHR data from the Research Action for Health Network (REACHnet), using the Surveillance Prevention, and Management of Diabetes Mellitus (SUPREME-DM) definitions. Incidence of coronary heart disease (CHD) and stroke events were identified using International Classification of Diseases (ICD)-9/10 codes and grouped by encounter types: (1) inpatient (IP) or emergency department (ED) type, or (2) any health care encounter type. Cox proportional hazards regression was used to estimate associations between diabetes complications (ie, CHD and stroke) and risk factors (ie, low-density lipoprotein cholesterol and hemoglobin A1c). RESULTS The incidence rates of CHD and stroke in all health care settings were more than twice the incidence rates of CHD and stroke in IP/ED settings. The age-adjusted and multivariable-adjusted hazard ratios for incident CHD and stroke across different levels of low-density lipoprotein cholesterol and hemoglobin A1c were similar between IP/ED and all settings. CONCLUSION While there are large variations in incidence rates of CHD and stroke as absolute risks, the associations between both CHD and stroke and their respective risk factors measured by hazard ratios as relative risks are similar, regardless of alternative definitions.
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15
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Osorio M, Ravenell JE, Sevick MA, Ararso Y, Young T, Wall SP, Lee DC. Community-Based Hemoglobin A1C Testing in Barbershops to Identify Black Men With Undiagnosed Diabetes. JAMA Intern Med 2020; 180:596-597. [PMID: 31985740 PMCID: PMC6990850 DOI: 10.1001/jamainternmed.2019.6867] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
This cross-sectional study evaluates the use of hemoglobin A1c testing at barbershops owned by black individuals for timely diagnosis of diabetes among black men and suggests appropriate methods for care.
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Affiliation(s)
- Marcela Osorio
- Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York
| | - Joseph E Ravenell
- Department of Population Health, New York University School of Medicine, New York
| | - Mary A Sevick
- Department of Population Health, New York University School of Medicine, New York
| | - Yonathan Ararso
- Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York
| | - Ta'Loria Young
- Touro College of Osteopathic Medicine, New York, New York
| | - Stephen P Wall
- Department of Population Health, New York University School of Medicine, New York
| | - David C Lee
- Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York.,Department of Population Health, New York University School of Medicine, New York
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16
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Knowledge Visualizations to Inform Decision Making for Improving Food Accessibility and Reducing Obesity Rates in the United States. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17041263. [PMID: 32079089 PMCID: PMC7068274 DOI: 10.3390/ijerph17041263] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 01/26/2020] [Accepted: 02/07/2020] [Indexed: 12/15/2022]
Abstract
The aim of this article is to promote the use of knowledge visualization frameworks in the creation and transfer of complex public health knowledge. The accessibility to healthy food items is an example of complex public health knowledge. The United States Department of Agriculture Food Access Research Atlas (FARA) dataset contains 147 variables for 72,864 census tracts and includes 16 food accessibility variables with binary values (0 or 1). Using four-digit and 16-digit binary patterns, we have developed data analytical procedures to group the 72,684 U.S. census tracts into eight and forty groups respectively. This value-added FARA dataset facilitated the design and production of interactive knowledge visualizations that have a collective purpose of knowledge transfer and specific functions including new insights on food accessibility and obesity rates in the United States. The knowledge visualizations of the binary patterns could serve as an integrated explanation and prediction system to help answer why and what-if questions on food accessibility, nutritional inequality and nutrition therapy for diabetic care at varying geographic units. In conclusion, the approach of knowledge visualizations could inform coordinated multi-level decision making for improving food accessibility and reducing chronic diseases in locations defined by patterns of food access measures.
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