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Lalika M, McCoy CR, Jones C, Bancos I, Cooper LA, Hayes SN, Johnson MP, Kullo IJ, Kumbamu A, Noseworthy PA, Patten CA, Singh R, Wi CI, Brewer LC. Rationale, design, and participant characteristics of the FAITH! Heart Health+ study: An exploration of the influence of the social determinants of health, stress, and structural racism on African American cardiovascular health. Contemp Clin Trials 2024; 143:107600. [PMID: 38851481 PMCID: PMC11283952 DOI: 10.1016/j.cct.2024.107600] [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: 10/09/2023] [Revised: 04/16/2024] [Accepted: 06/05/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND African Americans (AAs) face cardiovascular health (CVH) disparities linked to systemic racism. The 2020 police killing of Mr. George Floyd in Minneapolis, Minnesota, alongside the COVID-19 pandemic, exacerbated adverse psychosocial factors affecting CVH outcomes among AAs. This manuscript describes the study protocol and participant characteristics in an ancillary study exploring the relationship between biopsychosocial factors and CVH among AAs. METHODS Using a community-based participatory approach, a mixed-methods ancillary study of 58 AA participants from an overarching randomized control trial (RCT) was conducted. Baseline RCT health assessments (November 2020) provided sociodemographic, medical, and clinical data. Subsequent health assessments (February-December 2022) measured sleep quality, psychosocial factors (e.g., high-effort coping), biomarkers (e.g., cortisol), and cardiovascular diagnostics (e.g., cardio-ankle vascular index). CVH was assessed using the American Heart Association Life's Simple 7 (LS7) (range 0 to 14, poor to ideal) and Life's Essential 8 (LE8) scores (range 0 to 100, low to high). Correlations between these scores will be examined. Focus group discussions via videoconferencing (March to April 2022) assessed psychosocial and structural barriers, along with the impact of COVID-19 and George Floyd's killing on daily life. RESULTS Participants were predominantly female (67%), with a mean age of 54.6 [11.9] years, high cardiometabolic risk (93% had overweight/obesity and 70% hypertension), and moderate LE8 scores (mean 57.4, SD 11.5). CONCLUSION This study will enhance understanding of the associations between biopsychosocial factors and CVH among AAs in Minnesota. Findings may inform risk estimation, patient care, and healthcare policies to address CVD disparities in marginalized populations.
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Affiliation(s)
- Mathias Lalika
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA.
| | - Carrie R McCoy
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA.
| | - Clarence Jones
- Hue-Man Partnership, 2400 Park Ave, Minneapolis, MN 55404, USA
| | - Irina Bancos
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA.
| | - Lisa A Cooper
- Department of Medicine, Johns Hopkins University School of Medicine, 2024 E. Monument Street, Suite#2-500, Baltimore, MD 21205, USA.
| | - Sharonne N Hayes
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA.
| | - Matthew P Johnson
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA.
| | - Ashok Kumbamu
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
| | - Peter A Noseworthy
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA.
| | - Christi A Patten
- Department of Psychiatry and Psychology, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA.
| | - Ravinder Singh
- Division of Clinical Biochemistry & Immunology, Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | - LaPrincess C Brewer
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA; Center for Health Equity and Community Engagement Research, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
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Milam AJ, Ogunniyi MO, Faloye AO, Castellanos LR, Verdiner RE, Stewart JW, Chukumerije M, Okoh AK, Bradley S, Roswell RO, Douglass PL, Oyetunji SO, Iribarne A, Furr-Holden D, Ramakrishna H, Hayes SN. Racial and Ethnic Disparities in Perioperative Health Care Among Patients Undergoing Cardiac Surgery: JACC State-of-the-Art Review. J Am Coll Cardiol 2024; 83:530-545. [PMID: 38267114 DOI: 10.1016/j.jacc.2023.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/08/2023] [Indexed: 01/26/2024]
Abstract
There has been little progress in reducing health care disparities since the 2003 landmark Institute of Medicine's report Unequal Treatment. Despite the higher burden of cardiovascular disease in underrepresented racial and ethnic groups, they have less access to cardiologists and cardiothoracic surgeons, and have higher rates of morbidity and mortality with cardiac surgical interventions. This review summarizes existing literature and highlights disparities in cardiovascular perioperative health care. We propose actionable solutions utilizing multidisciplinary perspectives from cardiology, cardiac surgery, cardiothoracic anesthesiology, critical care, medical ethics, and health disparity experts. Applying a health equity lens to multipronged interventions is necessary to eliminate the disparities in perioperative health care among patients undergoing cardiac surgery.
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Affiliation(s)
- Adam J Milam
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Phoenix, Arizona, USA.
| | - Modele O Ogunniyi
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA; Grady Health System, Atlanta, Georgia, USA
| | - Abimbola O Faloye
- Department of Anesthesiology, Emory University, Atlanta, Georgia, USA. https://twitter.com/bfaloyeMD
| | - Luis R Castellanos
- Division of Cardiovascular Medicine, Department of Medicine, University of California-San Diego, La Jolla, California, USA. https://twitter.com/lrcastel
| | - Ricardo E Verdiner
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Phoenix, Arizona, USA. https://twitter.com/VerdinerMD
| | - James W Stewart
- Yale School of Medicine, Department of Surgery, New Haven, Connecticut, USA. https://twitter.com/stewartwjames
| | - Merije Chukumerije
- Department of Cardiovascular Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA. https://twitter.com/DrMerije
| | - Alexis K Okoh
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA. https://twitter.com/OkohMD
| | - Steven Bradley
- Department of Anesthesia and Critical Care, Moffitt Cancer Center, Tampa, Florida, USA. https://twitter.com/stevenbradleyMD
| | - Robert O Roswell
- Department of Cardiology, Zucker School of Medicine at Hofstra/Northwell Health, New York, New York, USA. https://twitter.com/DrRobRoswell
| | - Paul L Douglass
- Center for Cardiovascular Care, Wellstar Atlanta Medical Center, Atlanta, Georgia, USA
| | - Shakirat O Oyetunji
- Division of Cardiothoracic Surgery, University of Washington, Seattle, Washington, USA. https://twitter.com/LaraOyetunji
| | - Alexander Iribarne
- Department of Cardiothoracic Surgery, Staten Island University Hospital, Northwell Health, Staten Island, New York, USA
| | - Debra Furr-Holden
- Department of Epidemiology, School of Global Public Health, New York University, New York, New York, USA. https://twitter.com/DrDebFurrHolden
| | - Harish Ramakrishna
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Sharonne N Hayes
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA. https://twitter.com/SharonneHayes
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Patel S, Alfafara C, Kraus MB, Buckner-Petty S, Bonner T, Youssef MR, Poterack KA, Mour G, Mathur AK, Milam AJ. Individual- and Community-Level Socioeconomic Status and Deceased Donor Renal Transplant Outcomes. J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01851-8. [PMID: 37962790 DOI: 10.1007/s40615-023-01851-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/21/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND This study examined the relationship between socioeconomic status (SES), race, and ethnicity and clinical outcomes following deceased donor kidney transplant (DDKT) at a high-volume transplant center. METHODS This retrospective cohort study used regression models and survival analyses to examine the relationship between individual- and community-level SES, race, and ethnicity and DDKT outcomes (i.e., delayed graft function, graft failure, mortality) adjusting for potential confounders. RESULTS The analytic sample included 3366 patients; 40.7% (n = 1370) were female, the mean age was 54.7 (SD = 13.3) years, 49.3% were non-Hispanic White, and the median follow-up time was 39.5 months (IQR = 24.2-68.1). Patients living in the most disadvantaged communities (using the US Census data) had a higher likelihood of delayed graft function (adjusted relative risk [RR] = 1.12, p = 0.042) and a higher hazard of mortality (adjusted hazard ratio [HR] = 1.32, p = 0.025) compared to patients living in the least disadvantaged communities. Patients without a high school diploma had a higher risk of delayed graft function compared to patients with an associate degree or more (RR = 1.37, p < 0.001). Patients with public insurance coverage had a higher risk of delayed graft function (RR = 1.24, p < 0.001) and a higher hazard of mortality (HR = 1.37, p < 0.001) and graft failure (HR = 1.71, p < 0.001) compared to patients without public insurance. There were no differences in graft failure or mortality by race and ethnicity. CONCLUSIONS SES was not consistently associated with outcomes following DDKT; however, many of the predictors were associated with delayed graft function. With a large and diverse sample size, these findings further the heterogeneity of the present renal transplant research suggesting the need for further investigation to guide implementation of innovative strategies and interventions.
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Affiliation(s)
- Shyam Patel
- Mayo Clinic Alix School of Medicine, Scottsdale, AZ, 85259, USA
| | - Chelsea Alfafara
- Department of Anesthesiology & Perioperative Medicine, Mayo Clinic Arizona, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Molly B Kraus
- Department of Anesthesiology & Perioperative Medicine, Mayo Clinic Arizona, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Skye Buckner-Petty
- Department of Clinical Trials and Biostatistics, Mayo Clinic Arizona, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Timethia Bonner
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Mohanad R Youssef
- Department of Anesthesiology & Perioperative Medicine, Mayo Clinic Arizona, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Karl A Poterack
- Department of Anesthesiology & Perioperative Medicine, Mayo Clinic Arizona, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Girish Mour
- Division of Nephrology, Mayo Clinic Arizona, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Amit K Mathur
- Division of Transplant Surgery, Mayo Clinic Arizona, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Adam J Milam
- Department of Anesthesiology & Perioperative Medicine, Mayo Clinic Arizona, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA.
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Ryu E, Wi CI, Wheeler PH, King KS, Carlson RE, Juhn YJ, Takahashi PY. The Role of Individual-Level Socioeconomic Status on Nursing Home Placement Accounting for Neighborhood Characteristics. J Am Med Dir Assoc 2023; 24:1048-1053.e2. [PMID: 36841262 PMCID: PMC10962058 DOI: 10.1016/j.jamda.2023.01.016] [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: 10/18/2022] [Revised: 01/19/2023] [Accepted: 01/21/2023] [Indexed: 02/25/2023]
Abstract
OBJECTIVE Independent living is desirable for many older adults. Although several factors such as physical and cognitive functions are important predictors for nursing home placement (NHP), it is also reported that socioeconomic status (SES) affects the risk of NHP. In this study, we aimed to examine whether an individual-level measure of SES is associated with the risk of NHP after accounting for neighborhood characteristics. DESIGN A population-based study (Olmsted County, Minnesota, USA). SETTING AND PARTICIPANTS Older adults (age 65+ years) with no prior history of NHP. METHODS Electronic health records (EHR) were used to identify individuals with any NHP between April 1, 2012 (baseline date) and April 30, 2019. Association between the (HOUsing-based index of SocioEconomic Status (HOUSES) index, an individual-level SES measure based on housing characteristics of current residence, and risk of NHP was tested using random effects Cox proportional hazard model adjusting for area deprivation index (ADI), an aggregated SES measure that captures neighborhood characteristics, and other pertinent confounders such as age and chronic disease burden. RESULTS Among 15,031 older adults, 3341 (22.2%) experienced NHP during follow-up period (median: 7.1 years). At baseline date, median age was 73 years old with 55% female persons, 91% non-Hispanic Whites, and median number of chronic conditions of 4. Accounting for pertinent confounders, the HOUSES index was strongly associated with risk of NHP (hazard ratio 1.89; 95% confidence interval 1.66‒2.15 for comparing the lowest vs highest quartiles), which was not influenced by further accounting for ADI. CONCLUSIONS AND IMPLICATIONS This study demonstrates that an individual-level SES measure capturing current individual-specific socioeconomic circumstances plays a significant role for predicting NHP independent of neighborhood characteristics where they reside. This study suggests that older adults who are at higher risk of NHP can be identified by utilizing the HOUSES index and potential individual-level intervention strategies can be applied to reduce the risk for those with higher risk.
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Affiliation(s)
- Euijung Ryu
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Philip H Wheeler
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Katherine S King
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Rachel E Carlson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Young J Juhn
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Paul Y Takahashi
- Division of Primary Care and Internal Medicine, Mayo Clinic, Rochester, MN, USA
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Rodriguez Baisi KE, Weaver AL, Wi CI, Shakshouk H, Tollefson MM. Socioeconomic status, race, and preadolescent acne: A population-based retrospective cohort analysis in a mixed rural-urban community of the United States (Olmsted County, Minnesota). Pediatr Dermatol 2023; 40:460-465. [PMID: 36965126 PMCID: PMC10202841 DOI: 10.1111/pde.15294] [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: 11/13/2022] [Accepted: 02/26/2023] [Indexed: 03/27/2023]
Abstract
BACKGROUND/OBJECTIVE There is limited information about the potential relationship of socioeconomic status (SES) with acne in preadolescents. Our objective was to assess the possible relationship between SES and preadolescent acne. METHODS A population-based retrospective cohort study was conducted to identify Olmsted County, Minnesota, residents with an initial acne diagnosis between 7 and ≤12 years old during 2010 to 2018 using the Rochester Epidemiology Project. For each acne case, we randomly selected 2 sex- and age-matched controls without an acne diagnosis from the county. Individual HOUsing-based SocioEconomic Status index (HOUSES) derived from real property data was used to evaluate SES, represented as four quartiles with higher quartile representing higher SES. RESULTS A total of 604 patients met the criteria. HOUSES distribution significantly differed between cases and controls (p = .001); a higher proportion of acne cases were in quartile 4 (42.2% vs. 32.7%), indicating higher SES. Race and ethnicity did not significantly differ between cases and controls. Among cases and controls, 74.5% and 72.3% were White, respectively. Study limitations include its retrospective design, only patients who visited a physician were included, and Olmsted County residents are largely non-Hispanic White. CONCLUSION Preadolescents diagnosed with acne have a higher SES than those without diagnosed acne, highlighting a potential disparity in access to care and appropriate diagnosis.
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Affiliation(s)
| | - Amy L Weaver
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, USA
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Precision Population Science Lab, Mayo Clinic, Rochester, Minnesota, USA
| | - Hadir Shakshouk
- Department of Dermatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Megha M Tollefson
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Department of Dermatology, Mayo Clinic, Rochester, Minnesota, USA
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Rusk AM, Giblon RE, Chamberlain AM, Patten CA, Felzer JR, Bui YT, Wi CI, Destephano CC, Abbott BA, Kennedy CC. Smoking Behaviors Among Indigenous Pregnant People Compared to a Matched Regional Cohort. Nicotine Tob Res 2023; 25:889-897. [PMID: 36250476 PMCID: PMC10077929 DOI: 10.1093/ntr/ntac240] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 10/05/2022] [Accepted: 10/14/2022] [Indexed: 04/12/2023]
Abstract
INTRODUCTION Smoking commercial tobacco products is highly prevalent in American Indian and Alaska Native (Indigenous) pregnancies. This disparity directly contributes to maternal and fetal mortality. Our objective was to describe cigarette smoking prevalence, cessation intervention uptake, and cessation behaviors of pregnant Indigenous people compared to sex and age-matched regional cohort. AIMS AND METHODS Pregnancies from an Indigenous cohort in Olmsted County, Minnesota, identified in the Rochester Epidemiology Project, were compared to pregnancies identified in a sex and age-matched non-Indigenous cohort from 2006 to 2019. Smoking status was defined as current, former, or never. All pregnancies were reviewed to identify cessation interventions and cessation events. The primary outcome was smoking prevalence during pregnancy, with secondary outcomes measuring uptake of smoking cessation interventions and cessation. RESULTS The Indigenous cohort included 57 people with 81 pregnancies, compared to 226 non-Indigenous people with 358 pregnancies. Smoking was identified during 45.7% of Indigenous pregnancies versus 11.2% of non-Indigenous pregnancies (RR: 3.25, 95% CI = 1.98-5.31, p ≤ .0001). Although there was no difference in uptake of cessation interventions between cohorts, smoking cessation was significantly less likely during Indigenous pregnancies compared to non-Indigenous pregnancies (OR: 0.23, 95% CI = 0.07-0.72, p = .012). CONCLUSIONS Indigenous pregnant people in Olmsted County, Minnesota were more than three times as likely to smoke cigarettes during pregnancy compared to the non-indigenous cohort. Despite equivalent uptake of cessation interventions, Indigenous people were less likely to quit than non-Indigenous people. Understanding why conventional smoking cessation interventions were ineffective at promoting cessation during pregnancy among Indigenous women warrants further study. IMPLICATIONS Indigenous pregnant people in Olmsted County, Minnesota, were greater than three times more likely to smoke during pregnancy compared to a regional age matched non-Indigenous cohort. Although Indigenous and non-Indigenous pregnant people had equivalent uptake of cessation interventions offered during pregnancy, Indigenous people were significantly less likely to quit smoking before fetal delivery. This disparity in the effectiveness of standard of care interventions highlights the need for further study to understand barriers to cessation in pregnant Indigenous people.
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Affiliation(s)
- Ann M Rusk
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester MN, USA
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester MN, USA
- Respiratory Health Equity Clinical Research Laboratory at Mayo Clinic, Rochester MN, USA
| | - Rachel E Giblon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester MN, USA
| | - Alanna M Chamberlain
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester MN, USA
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester MN, USA
| | - Christi A Patten
- Division of Behavioral Health Research, Mayo Clinic, Rochester MN, USA
| | - Jamie R Felzer
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester MN, USA
- Respiratory Health Equity Clinical Research Laboratory at Mayo Clinic, Rochester MN, USA
| | - Yvonne T Bui
- Mayo Clinic Alix School of Medicine, Rochester MN, USA
| | - Chung-Il. Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester MN, USA
| | - Christopher C Destephano
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester MN, USA
- Division of Obstetrics and Gynecology, Mayo Clinic, Jacksonville FL, USA
| | - Barbara A Abbott
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester MN, USA
| | - Cassie C Kennedy
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester MN, USA
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester MN, USA
- Respiratory Health Equity Clinical Research Laboratory at Mayo Clinic, Rochester MN, USA
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Charnaya O, Zeiser L, Yisar D, Goldberg A, Segev DL, Massie A, Garonzik-Wang J, Verghese P. The unfinished journey toward transplant equity: an analysis of racial/ethnic disparities for children after the implementation of the Kidney Allocation System in 2014. Pediatr Nephrol 2023; 38:1275-1289. [PMID: 35816202 PMCID: PMC10848995 DOI: 10.1007/s00467-022-05676-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 06/24/2022] [Accepted: 06/27/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Disparities in pediatric kidney transplantation (KT) result in reduced access and worse outcomes for minority children. We assessed the impact of recent systems changes on these disparities. METHODS This is a retrospective cohort study of pediatric patients utilizing data from the US Renal Data System (n = 7547) and Scientific Registry of Transplant Recipients (n = 6567 waitlisted and n = 6848 transplanted patients). We compared access to transplantation, time to deceased donor kidney transplant (DDKT), and allograft failure (ACGF) in the 5 years preceding implementation of the Kidney Allocation System (KAS) to the 5 years post-KAS implementation 2010-2014 vs. 2015-2019, respectively. RESULTS Compared to the pre-KAS era, post-KAS candidates were more likely to be pre-emptively listed (26.8% vs. 38.1%, p < 0.001), pre-emptively transplanted (23.8% vs. 28.0%, p < 0.001), and less likely to have private insurance (35.6% vs. 32.3%, p = 0.01), but these were not uniform across racial groups. Compared to white children, Black and Hispanic children had a lower likelihood of transplant listing within 2 years of first dialysis service (aHR 0.590.670.76 and 0.730.820.92, respectively) in the post-KAS era. Time to DDKT was comparable across all racial groups in the post-KAS era. Compared to white children, Black DDKT recipients have more 5-year ACGF (aHR 1.001.432.06 p = 0.05) while there was no difference in 3- or 5-year ACGF among LDKT recipients. CONCLUSIONS After KAS implementation, there is equity in time to DDKT. Pre-KAS increased hazard of ACGF among Black children has decreased in the post-KAS era; however, persistent disparities exist in time to transplant listing among Black and Hispanic children when compared to white children. A higher resolution version of the Graphical abstract is available as Supplementary information.
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Affiliation(s)
- Olga Charnaya
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Laura Zeiser
- Department of Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Dolev Yisar
- Medical School for International Health, Ben-Gurion University of the Negev, Be-er Sheva, Israel
| | - Aviva Goldberg
- Department of Pediatric Nephrology, University of Manitoba, Winnipeg, Canada
| | - Dorry L Segev
- Department of Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, USA
- Scientific Registry of Transplant Recipients, Minneapolis, MN, USA
| | - Allan Massie
- Department of Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Jacqueline Garonzik-Wang
- Department of Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Priya Verghese
- Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Northwestern University, Chicago, IL, USA
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Felzer JR, Finney Rutten LJ, Wi CI, LeMahieu AM, Beam E, Juhn YJ, Jacobson RM, Kennedy CC. Disparities in vaccination rates in solid organ transplant patients. Transpl Infect Dis 2023; 25:e14010. [PMID: 36715676 PMCID: PMC10085850 DOI: 10.1111/tid.14010] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/23/2022] [Accepted: 11/06/2022] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Vaccinations against preventable respiratory infections such as Streptococcus pneumoniae and influenza are important in immunosuppressed solid organ transplant (SOT) recipients. Little is known about the role of age, race, ethnicity, sex, and sociodemographic factors including rurality, or socioeconomic status (SES) associated with vaccine uptake in this population. METHODS We conducted a population-based study using the Rochester Epidemiology Project, a medical records linkage system, to assess socioeconomic and demographic factors associated with influenza and pneumococcal vaccination rates among adult recipients of solid organ transplantation (aged 19-64 years) living in four counties in southeastern Minnesota. Vaccination data were obtained from the Minnesota Immunization Information Connection from June 1, 2010 to June 30, 2020. Vaccination rate was assessed with Poisson and logistic regression models. RESULTS A total of 468 SOT recipients were identified with an overall vaccination rate of 57%-63% for influenza and 56% for pneumococcal vaccines. As expected, vaccination for pneumococcal vaccine positively correlated with influenza vaccination. Rural patients had decreased vaccination in both compared to urban patients, even after adjusting for age, sex, race, ethnicity, and SES. Although the population was mostly White and non-Hispanic, neither vaccination differed by race or ethnicity, but influenza vaccination did by SES. Among organ transplant groups, liver and lung recipients were least vaccinated for influenza, and heart recipients were least up-to-date on pneumococcal vaccines. CONCLUSIONS Rates of vaccination were below national goals. Rurality was associated with undervaccination. Further investigation is needed to understand and address barriers to vaccination among transplant recipients.
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Affiliation(s)
- Jamie R Felzer
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Lila J Finney Rutten
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Allison M LeMahieu
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Elena Beam
- Division of Infectious Diseases and Occupational Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Young J Juhn
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Robert M Jacobson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.,Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Cassie C Kennedy
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.,William J von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, Minnesota, USA.,Division of Health Care Delivery Research, Mayo Clinic, Rochester, Minnesota, USA
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9
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Kerkvliet SP, Perez Kerkvliet CJ, Jiang Z, Evans M, Kizilbash SJ. Language barriers and kidney transplantation in children. Pediatr Nephrol 2022:10.1007/s00467-022-05821-w. [PMID: 36508051 DOI: 10.1007/s00467-022-05821-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Understanding disparities in pediatric kidney transplants is important to provide equitable care. We compared transplant outcomes between English-speaking (ES) and interpreter-needing (IN) pediatric kidney transplant recipients. METHODS Through retrospective review, primary kidney transplant recipients, 0-21 years transplanted between 2005 and 2019, were divided into ES and IN cohorts. Continuous and categorical variables were compared using Wilcoxon rank-sum, Welch two-sample t-test, and chi-squared analyses. Patient survival, graft survival, and rejection-free survival were evaluated using Kaplan-Meier methods and Cox regression. Days hospitalized were evaluated using negative binomial regression. RESULTS Our sample included 211 ES and 37 IN transplant recipients. Compared with the ES, the IN cohort was older at transplant (14.56 vs. 11.03 years; p < 0.01), had more time between kidney failure and transplant (0.9 vs. 0.3 years; p < 0.01), and more often received deceased over living donor transplants (78.4% vs. 30.4%; p < 0.01). Multivariate Cox proportional-hazard models evaluating adjusted 5-year patient survival demonstrated decreased 5-year post-transplant survival in the IN cohort (aHR = 10.10, 95% CI: 1.5, 66.8; p = 0.02). We did not identify differences in 5-year death-censored graft survival (aHR = 0.57; 95% CI: 0.14, 2.4; p = 0.4) nor rejection-free survival (aHR = 0.8; 95% CI: 0.4, 1.5; p = 0.5). We found significantly fewer hospitalization events in the IN cohort during the first year post-transplant (aRR: 0.62; 95% CI: 0.4, 0.9; p = 0.01) but no difference 5-year post-transplant. The IN cohort had more missed outpatient appointments (10.4% vs. 2.8%; p = 0.03) and undetectable serum immunosuppressant levels (mean: 3.8% vs. 1.3%; p = 0.02) 5 years post-transplant. CONCLUSIONS Pediatric kidney transplant recipients requiring interpreter services for healthcare delivery demonstrate fewer post-transplant interactions with their healthcare team (fewer hospitalizations and more no-show visits) and lower 5-year patient survival compared with recipients not requiring interpreters. A higher resolution version of the Graphical abstract is available as Supplementary information.
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Affiliation(s)
| | | | - Ziou Jiang
- University of Minnesota Clinical and Translational Science Institute, Minneapolis, USA
| | - Michael Evans
- University of Minnesota Clinical and Translational Science Institute, Minneapolis, USA
| | - Sarah J Kizilbash
- Department of Pediatrics, Division of Pediatric Nephrology, University of Minnesota, Minneapolis, USA
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10
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LeCroy MN, Potter LN, Bandeen-Roche K, Bianco ME, Cappola AR, Carter EB, Dayan PS, Eckstrom E, Edwards DF, Farabi SS, Fisher SD, Giordano J, Hanson HA, Jenkins E, Juhn Y, Kaskel F, Stake CE, Reeds DN, Schleiss MR, Wafford QE, McColley SA. Barriers to and solutions for representative inclusion across the lifespan and in life course research: The need for structural competency highlighted by the COVID-19 pandemic. J Clin Transl Sci 2022; 7:e38. [PMID: 36845306 PMCID: PMC9947617 DOI: 10.1017/cts.2022.510] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/18/2022] [Indexed: 12/12/2022] Open
Abstract
Exclusion of special populations (older adults; pregnant women, children, and adolescents; individuals of lower socioeconomic status and/or who live in rural communities; people from racial and ethnic minority groups; individuals from sexual or gender minority groups; and individuals with disabilities) in research is a pervasive problem, despite efforts and policy changes by the National Institutes of Health and other organizations. These populations are adversely impacted by social determinants of health (SDOH) that reduce access and ability to participate in biomedical research. In March 2020, the Northwestern University Clinical and Translational Sciences Institute hosted the "Lifespan and Life Course Research: integrating strategies" "Un-Meeting" to discuss barriers and solutions to underrepresentation of special populations in biomedical research. The COVID-19 pandemic highlighted how exclusion of representative populations in research can increase health inequities. We applied findings of this meeting to perform a literature review of barriers and solutions to recruitment and retention of representative populations in research and to discuss how findings are important to research conducted during the ongoing COVID-19 pandemic. We highlight the role of SDOH, review barriers and solutions to underrepresentation, and discuss the importance of a structural competency framework to improve research participation and retention among special populations.
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Affiliation(s)
- Madison N. LeCroy
- Department of Pediatrics, Division of Academic General Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Lindsey N. Potter
- Center for Health Outcomes and Population Equity (HOPE), Department of Population Health Sciences, Huntsman Cancer Institute and the University of Utah, Salt Lake City, UT, USA
| | - Karen Bandeen-Roche
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins Institute for Clinical and Translational Research, Baltimore, MD, USA
| | - Monica E. Bianco
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Anne R. Cappola
- Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ebony B. Carter
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Washington University, School of Medicine, St. Louis, MO, USA
| | - Peter S. Dayan
- Department of Emergency Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Elizabeth Eckstrom
- Department of Medicine, Division of General Internal Medicine & Geriatrics, Oregon Clinical & Translational Research Institute, Oregon Health & Science University, Portland, OR, USA
| | - Dorothy F. Edwards
- Collaborative Center for Health Equity, Institute for Clinical and Translational Research and Department of Medicine, School of Medicine and Public Health, University of Wisconsin Madison, Health Sciences Learning Center, Madison, WI, USA
| | - Sarah S. Farabi
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO, USA
- Goldfarb School of Nursing at Barnes-Jewish College, St. Louis, MO, USA
| | - Sheehan D. Fisher
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine/Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Judy Giordano
- University of Rochester Medical Center, Rochester, NY, USA
| | - Heidi A. Hanson
- Department of Surgery and Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Emerald Jenkins
- Johns Hopkins University School of Nursing, Baltimore, MD, USA
| | - Young Juhn
- Precision Population Science Lab and Artificial Intelligence Program, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Frederick Kaskel
- Department of Pediatrics, Division of Pediatric Nephrology, Children’s Hospital at Montefiore, Bronx, NY, USA
| | - Christine E. Stake
- Division of Pediatric Surgery, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Dominic N. Reeds
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO, USA
- Goldfarb School of Nursing at Barnes-Jewish College, St. Louis, MO, USA
| | - Mark R. Schleiss
- Department of Pediatrics, Division of Infectious Diseases, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Q. Eileen Wafford
- Galter Health Sciences Library and Learning Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Susanna A. McColley
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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11
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Rusk AM, Giblon RE, Chamberlain AM, Patten CA, Felzer JR, Bui YT, Wi CI, Destephano CC, Abbott BA, Kennedy CC. Indigenous Smoking Behaviors in Olmsted County, Minnesota: A Longitudinal Population-Based Study. Mayo Clin Proc 2022; 97:1836-1848. [PMID: 36202495 PMCID: PMC9918799 DOI: 10.1016/j.mayocp.2022.03.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/03/2022] [Accepted: 03/18/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To describe smoking behaviors and pharmaceutical cessation aid uptake in a population-based Indigenous cohort compared with an age- and sex-matched non-Indigenous cohort. PATIENTS AND METHODS Using the health record-linkage system of the Rochester Epidemiology Project (January 1, 2006, to December 31, 2019), smoking data of Indigenous residents of Olmsted County in Minnesota were abstracted to define the smoking prevalence, incidence, cessation, relapse after cessation, and pharmaceutical smoking cessation aid uptake compared with a matched non-Indigenous cohort. Prevalence was analyzed with a modified Poisson regression; cessation and relapse were evaluated with generalized estimating equations. Incidence was evaluated with a Cox proportional hazards model. RESULTS Smoking prevalence was higher in the Indigenous cohort (39.0% to 47.0%; n=898) than the matched cohort (25.6% to 30.3%; n=1780). Pharmaceutical uptake was higher among the Indigenous cohort (35.8% of n=584 ever smokers vs 16.3% of n=778 ever smokers; P<.001). Smoking cessation events occurred more frequently in the Indigenous cohort (relative risk, 1.10; 95% CI, 1.06 to 1.13; P<.001). Indigenous former smokers were more likely to resume smoking (relative risk, 3.03; 95% CI, 2.93 to 3.14; P<.001) compared with the matched cohort. These findings were independent of socioeconomic status, age, and sex. CONCLUSION Smoking in this Indigenous cohort was more prevalent compared with a sex- and age-matched non-Indigenous cohort despite more smoking cessation events and higher use of smoking cessation aids in the Indigenous cohort. The relapse rate after achieving cessation in the Indigenous cohort was more than three times higher than the non-Indigenous cohort. This finding has not been previously described and represents a potential target for relapse prevention efforts in US Indigenous populations.
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Affiliation(s)
- Ann M Rusk
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA; Respiratory Health Equity Clinical Research Laboratory at Mayo Clinic, Rochester, MN
| | - Rachel E Giblon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Alanna M Chamberlain
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Christi A Patten
- Division of Behavioral Health Research, Mayo Clinic, Rochester, MN, USA
| | - Jamie R Felzer
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA; Respiratory Health Equity Clinical Research Laboratory at Mayo Clinic, Rochester, MN
| | - Yvonne T Bui
- Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Christopher C Destephano
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA; Division of Obstetrics and Gynecology, Mayo Clinic, Jacksonville, FL, USA
| | - Barbara A Abbott
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Cassie C Kennedy
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA; Respiratory Health Equity Clinical Research Laboratory at Mayo Clinic, Rochester, MN.
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12
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Juhn YJ, Ryu E, Wi CI, King KS, Malik M, Romero-Brufau S, Weng C, Sohn S, Sharp RR, Halamka JD. Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J Am Med Inform Assoc 2022; 29:1142-1151. [PMID: 35396996 PMCID: PMC9196683 DOI: 10.1093/jamia/ocac052] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 03/24/2022] [Accepted: 04/05/2022] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Artificial intelligence (AI) models may propagate harmful biases in performance and hence negatively affect the underserved. We aimed to assess the degree to which data quality of electronic health records (EHRs) affected by inequities related to low socioeconomic status (SES), results in differential performance of AI models across SES. MATERIALS AND METHODS This study utilized existing machine learning models for predicting asthma exacerbation in children with asthma. We compared balanced error rate (BER) against different SES levels measured by HOUsing-based SocioEconomic Status measure (HOUSES) index. As a possible mechanism for differential performance, we also compared incompleteness of EHR information relevant to asthma care by SES. RESULTS Asthmatic children with lower SES had larger BER than those with higher SES (eg, ratio = 1.35 for HOUSES Q1 vs Q2-Q4) and had a higher proportion of missing information relevant to asthma care (eg, 41% vs 24% for missing asthma severity and 12% vs 9.8% for undiagnosed asthma despite meeting asthma criteria). DISCUSSION Our study suggests that lower SES is associated with worse predictive model performance. It also highlights the potential role of incomplete EHR data in this differential performance and suggests a way to mitigate this bias. CONCLUSION The HOUSES index allows AI researchers to assess bias in predictive model performance by SES. Although our case study was based on a small sample size and a single-site study, the study results highlight a potential strategy for identifying bias by using an innovative SES measure.
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Affiliation(s)
- Young J Juhn
- Precision Population Science Lab, Mayo Clinic, Rochester, Minnesota, USA
- Artificial Intelligence Program of Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Euijung Ryu
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Chung-Il Wi
- Precision Population Science Lab, Mayo Clinic, Rochester, Minnesota, USA
- Artificial Intelligence Program of Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Katherine S King
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Momin Malik
- Center for Digital Health, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Sunghwan Sohn
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard R Sharp
- Biomedical Ethics Program, Mayo Clinic, Rochester, Minnesota, USA
| | - John D Halamka
- Center for Digital Health, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Platform, Rochester, Minnesota, USA
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13
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Past and Present Policy Efforts in Achieving Racial Equity in Kidney Transplantation. CURRENT TRANSPLANTATION REPORTS 2022; 9:114-118. [PMID: 35646512 PMCID: PMC9127821 DOI: 10.1007/s40472-022-00369-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/28/2022] [Indexed: 11/01/2022]
Abstract
Purpose of Review Recent Findings Summary
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14
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Greenwood J, Zurek KI, Grimm JM, Wi CI, Vogel JT, Garrison GM. Association of a housing based individual socioeconomic status measure with diabetic control in primary care practices. Prim Care Diabetes 2022; 16:78-83. [PMID: 34802978 DOI: 10.1016/j.pcd.2021.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 08/12/2021] [Accepted: 10/05/2021] [Indexed: 11/26/2022]
Abstract
AIMS Socioeconomic status (SES) is an important variable that impacts healthcare outcomes. However, grouped SES data is not always representative of all members and it is difficult to obtain individual level data. A validated individual housing-based measure termed HOUSES is available, but has not been studied in diabetes. We hypothesize that patients in the lowest HOUSES quartile are associated with worse diabetic control as measured by the D5. METHODS A retrospective cohort study of 5463 patients with diabetes in 5 patient centered medical home practices in southeast Minnesota was conducted. HOUSES is a validated, standardized housing-based SES measure constructed from publicly available county assessor's office data. Diabetic control was assessed by the D5 (HgbA1c < 8, BP < 140/90, statin use, nonsmoking status, and antiplatelet therapy). RESULTS In the lowest HOUSES quartile, more patients had an uncontrolled D5 (56.4%) than any of the other quartiles (49.2%, 49.8%, 49.6% respectively, p < 0.001). A multivariate analysis shows the adjusted odds of D5 control for patients in the 2nd, 3rd or 4th HOUSES quartiles as opposed to the 1st quartile are 1.28, 1.21, and 1.20, respectively. CONCLUSION Lower SES as represented by the first quartile of HOUSES index, is associated with lower odds of D5 control and thus worse diabetic outcomes. Using the HOUSES index to identify these individuals in a patient centered medical home might prove useful in deciding where to focus diabetic control efforts.
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Affiliation(s)
- Jason Greenwood
- Department of Family Medicine, Mayo Clinic, Rochester, MN, United States
| | - Kaitlyn I Zurek
- Department of Family Medicine, Mayo Clinic, Rochester, MN, United States
| | - Jade M Grimm
- Department of Family Medicine, Mayo Clinic, Rochester, MN, United States
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, United States; Precision Population Science Lab, Mayo Clinic, Rochester, MN, United States
| | - John T Vogel
- Department of Family Medicine, Mayo Clinic, Rochester, MN, United States
| | - Gregory M Garrison
- Department of Family Medicine, Mayo Clinic, Rochester, MN, United States.
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15
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Zurek KI, Boswell CL, E. Miller N, L. Pecina J, D. Decker M, I. Wi C, Garrison GM. Association of Early and Late Hospital Readmissions with a Novel Housing-Based Socioeconomic Measure. Health Serv Res Manag Epidemiol 2022; 9:23333928221104644. [PMID: 35769114 PMCID: PMC9234927 DOI: 10.1177/23333928221104644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Background While socioeconomic status has been linked to hospital readmissions for several conditions, reliable measures of individual socioeconomic status are often not available. HOUSES, a new measure of individual socioeconomic status based upon objective public data about one's housing unit, is inversely associated with overall hospitalization rate but it has not been studied with respect to readmissions. Purpose To determine if patients in the lowest HOUSES quartile are more likely to be readmitted within 30 days (short-term) and 180 days (long-term). Methods A retrospective cohort study of 11 993 patients having 21 633 admissions was conducted using generalized linear mixed-effects models. Results HOUSES quartile did not show any significant association with early readmission. However, when compared to the lowest HOUSES quartile, the second quartile (OR = 0.90, 95%CI 0.83-0.98) and the third quartile (OR = 0.91, 95%CI 0.83-0.99) were associated with lower odds of late readmission while the highest quartile (OR = 0.91, 95%CI 0.82-1.01) was not statistically different. Conclusion HOUSES was associated with late readmission, but not early readmission. This may be because early readmissions are influenced by medical conditions and hospital care while late readmissions are influenced by ambulatory care and home-based factors. Since HOUSES relies on public county assessor data, it is generally available and may be used to focus interventions on those at highest risk for late readmission.
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Affiliation(s)
| | | | | | | | | | - Chung I. Wi
- Department of Pediatric and Adolescent Medicine, Precision
Population Science Lab, Mayo Clinic, Rochester, MN, USA
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16
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Tadese K, Ernst V, Weaver AL, Thacher TD, Rajjo T, Kumar S, Kaufman T, Wi CI, Lynch BA. Association of Perinatal Factors With Severe Obesity and Dyslipidemia in Adulthood. J Prim Care Community Health 2022; 13:21501327211058982. [PMID: 35249418 PMCID: PMC8905209 DOI: 10.1177/21501327211058982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Background: Perinatal factors including gestational age, birthweight, size for gestational age, delivery route, maternal parity, maternal age, maternal education, socioeconomic status, race, and sex, are associated with the future risk of obesity and co-morbid conditions. This study evaluated the relationship of birthweight for gestational age and perinatal factors with severe obesity and dyslipidemia in adulthood. Methods: We conducted a population-based, retrospective birth cohort study of infants born to residents of Olmsted County, MN between 1976 and 1982. Outcomes were assessed after age 18 years until October 2020, including severe obesity (BMI ≥ 40 kg/m2) and dyslipidemia (total cholesterol ≥200 mg/dL, non-high density lipoprotein [non-HDL] cholesterol ≥145 mg/dL or HDL cholesterol <40 mg/dL). We obtained mother’s age, education level, and parity as well as newborn sex, race, type of delivery, single/multiple birth, gestational age, and birthweight from birth certificate data. Individual-level socioeconomic status (SES) of the household at birth was determined with the HOUSES index. Results: Of 10 938 birth cohort subjects, 7394 had clinic visits after age 18 years and were included, with 2630 having severe obesity (n = 798) or dyslipidemia (n = 2357) as adults. In multivariable models, female sex, singleton birth, less maternal education, and lower SES defined by HOUSES were independently associated with an increased risk of severe obesity in adulthood. Non-white race, singleton birth, and lower birthweight were independently associated with adult dyslipidemia. Birthweight for gestational age was not associated with severe obesity or dyslipidemia. Conclusion: Perinatal factors were associated with both severe obesity and dyslipidemia in adulthood. Lower SES at birth was predictive of severe obesity in adulthood, highlighting the opportunity to investigate modifiable perinatal social determinants to reduce the risk of severe obesity.
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Affiliation(s)
- Kristene Tadese
- Mayo Clinic Alix School of Medicine, Rochester, MN, USA
- Brian A. Lynch, Department of Pediatric and Adolescent Medicine, Mayo Clinic, 200 1st Street NW, Rochester, MN 55905-0002, USA.
| | - Vivian Ernst
- Department of Family Medicine, Mayo Clinic, Rochester, MN, USA
| | - Amy L. Weaver
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Tom D. Thacher
- Department of Family Medicine, Mayo Clinic, Rochester, MN, USA
| | - Tamim Rajjo
- Department of Family Medicine, Mayo Clinic, Rochester, MN, USA
| | - Seema Kumar
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Tara Kaufman
- Department of Family Medicine, Mayo Clinic, Rochester, MN, USA
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Brian A. Lynch
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
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17
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Wheeler PH, Patten CA, Wi CI, Bublitz JT, Ryu E, Ristagno EH, Juhn YJ. Role of geographic risk factors and social determinants of health in COVID-19 epidemiology: Longitudinal geospatial analysis in a midwest rural region. J Clin Transl Sci 2021; 6:e51. [PMID: 35651962 PMCID: PMC9108006 DOI: 10.1017/cts.2021.885] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/21/2021] [Accepted: 12/08/2021] [Indexed: 11/30/2022] Open
Abstract
Background Studies examining the role of geographic factors in coronavirus disease-2019 (COVID-19) epidemiology among rural populations are lacking. Methods Our study is a population-based longitudinal study based on rural residents in four southeast Minnesota counties from March through October 2020. We used a kernel density estimation approach to identify hotspots for COVID-19 cases. Temporal trends of cases and testing were examined by generating a series of hotspot maps during the study period. Household/individual-level socioeconomic status (SES) was measured using the HOUSES index and examined for association between identified hotspots and SES. Results During the study period, 24,243 of 90,975 residents (26.6%) were tested for COVID-19 at least once; 1498 (6.2%) of these tested positive. Compared to other rural residents, hotspot residents were overall younger (median age: 40.5 vs 43.2), more likely to be minorities (10.7% vs 9.7%), and of higher SES (lowest HOUSES [SES] quadrant: 14.6% vs 18.7%). Hotspots accounted for 30.1% of cases (14.5% of population) for rural cities and 60.8% of cases (27.1% of population) for townships. Lower SES and minority households were primarily affected early in the pandemic and higher SES and non-minority households affected later. Conclusion In rural areas of these four counties in Minnesota, geographic factors (hotspots) play a significant role in the overall burden of COVID-19 with associated racial/ethnic and SES disparities, of which pattern differed by the timing of the pandemic (earlier in pandemic vs later). The study results could more precisely guide community outreach efforts (e.g., public health education, testing/tracing, and vaccine roll out) to those residing in hotspots.
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Affiliation(s)
- Philip H. Wheeler
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Christi A. Patten
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Joshua T. Bublitz
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Euijung Ryu
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Young J. Juhn
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
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18
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Juhn YJ, Wheeler P, Wi CI, Bublitz J, Ryu E, Ristagno E, Patten C. Role of Geographic Risk Factors in COVID-19 Epidemiology: Longitudinal Geospatial Analysis. Mayo Clin Proc Innov Qual Outcomes 2021; 5:916-927. [PMID: 34308261 PMCID: PMC8272975 DOI: 10.1016/j.mayocpiqo.2021.06.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Objective To perform a geospatial and temporal trend analysis for coronavirus disease 2019 (COVID-19) in a Midwest community to identify and characterize hot spots for COVID-19. Participants and Methods We conducted a population-based longitudinal surveillance assessing the semimonthly geospatial trends of the prevalence of test confirmed COVID-19 cases in Olmsted County, Minnesota, from March 11, 2020, through October 31, 2020. As urban areas accounted for 84% of the population and 86% of all COVID-19 cases in Olmsted County, MN, we determined hot spots for COVID-19 in urban areas (Rochester and other small cities) of Olmsted County, MN, during the study period by using kernel density analysis with a half-mile bandwidth. Results As of October 31, 2020, a total of 37,141 individuals (30%) were tested at least once, of whom 2433 (7%) tested positive. Testing rates among race groups were similar: 29% (black), 30% (Hispanic), 25% (Asian), and 31% (white). Ten urban hot spots accounted for 590 cases at 220 addresses (2.68 cases per address) as compared with 1843 cases at 1292 addresses in areas outside hot spots (1.43 cases per address). Overall, 12% of the population residing in hot spots accounted for 24% of all COVID-19 cases. Hot spots were concentrated in neighborhoods with low-income apartments and mobile home communities. People living in hot spots tended to be minorities and from a lower socioeconomic background. Conclusion Geographic and residential risk factors might considerably account for the overall burden of COVID-19 and its associated racial/ethnic and socioeconomic disparities. Results could geospatially guide community outreach efforts (eg, testing/tracing and vaccine rollout) for populations at risk for COVID-19.
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Key Words
- Acute Respiratory Infection, (ARI)
- COVID-19
- Confidence interval, (CI)
- Coronavirus disease 2019, (COVID-19)
- Electronic Health Records, (EHRs)
- Human coronavirus, (HCov)
- Middle East respiratory syndrome (MERS)-coronavirus, (MERS-CoV)
- Reverse transcription polymerase chain reaction, (RT-PCR)
- SARS-CoV-2
- Severe acute respiratory syndrome (SARS)-associated coronavirus, (SARS-CoV)
- Severe acute respiratory syndrome coronavirus 2, (SARS-CoV-2)
- Social determinants of health, (SDH)
- Socioeconomic status, (SES)
- epidemiology
- geospatial analysis
- social determinants of health
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Affiliation(s)
| | | | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine
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Barwise A, Wi CI, Frank R, Milekic B, Andrijasevic N, Veerabattini N, Singh S, Wilson ME, Gajic O, Juhn YJ. An Innovative Individual-Level Socioeconomic Measure Predicts Critical Care Outcomes in Older Adults: A Population-Based Study. J Intensive Care Med 2021; 36:828-837. [PMID: 32583721 PMCID: PMC7759584 DOI: 10.1177/0885066620931020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Little is known about the impact of socioeconomic status (SES) as a key element of social determinants of health on intensive care unit (ICU) outcomes for adults. OBJECTIVE We assessed whether a validated individual SES index termed HOUSES (HOUsing-based SocioEconomic status index) derived from housing features was associated with short-term outcomes of critical illness including ICU mortality, ICU-free days, hospital-free days, and ICU readmission. METHODS We performed a population-based cohort study of adult patients living in Olmsted County, Minnesota, admitted to 7 intensive care units at Mayo Clinic from 2011 to 2014. We compared outcomes between the lowest SES group (HOUSES quartile 1 [Q1]) and the higher SES group (HOUSES Q2-4). We stratified the cohort based on age (<50 years old and ≥50 years old). RESULTS Among 4134 eligible patients, 3378 (82%) patients had SES successfully measured by the HOUSES index. Baseline characteristics, severity of illness, and reason for ICU admission were similar among the different SES groups as measured by HOUSES except for larger number of intoxications and overdoses in younger patients from the lowest SES. In all adult patients, there were no overall differences in mortality, ICU-free days, hospital-free days, or ICU readmissions in patients with higher SES compared to lower SES. Among older patients (>50 years), those with higher SES (HOUSES Q2-4) compared to those with lower SES (HOUSES Q1) had lower mortality rates (hazard ratio = 0.72; 95% CI: 0.56-0.93; adjusted P = .01), increased ICU-free days (mean 1.08 days; 95% CI: 0.34-1.84; adjusted P = .004), and increased hospital-free days (mean 1.20 days; 95% CI: 0.45-1.96; adjusted P = .002). There were no differences in ICU readmission rates (OR = 0.74; 95% CI: 0.55-1.00; P = .051). CONCLUSION Individual-level SES may be an important determinant or predictor of critical care outcomes in older adults. Housing-based socioeconomic status may be a useful tool for enhancing critical care research and practice.
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Affiliation(s)
- Amelia Barwise
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Chung-Il Wi
- Precision Population Science lab and Department of Pediatric and Adolescent Medicine and Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | - Ryan Frank
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Bojana Milekic
- Department of Internal Medicine, Wright Center for Graduate Medical Education, Scranton, Pennsylvania
| | - Nicole Andrijasevic
- Anesthesia Clinical Research Unit(ACRU), Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
| | - Naresh Veerabattini
- Department of Internal Medicine, University of Nevada Reno School of Medicine, Reno, Nevada
| | - Sidhant Singh
- Department of Internal Medicine, Yale Waterbury Internal Medicine Residency, Waterbury, Connecticut
| | - Michael E. Wilson
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Ognjen Gajic
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Young J. Juhn
- Precision Population Science lab and Department of Pediatric and Adolescent Medicine and Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
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Belyaev AM, Henry L, Dittmer I, MuthuKumaraswamy C, Davies CE, Bergin CJ. Socioeconomic inequality: Accessibility and outcomes after renal transplantation in New Zealand. ANZ J Surg 2021; 91:2656-2662. [PMID: 34101327 DOI: 10.1111/ans.16997] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 04/09/2021] [Accepted: 05/25/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Socioeconomic deprivation (SED) is a risk factor for worse outcomes after renal transplantation (RTx). This study aimed to evaluate access to RTx in different SED strata of the New Zealand population. We also assessed patient survival, acute cellular allograft rejection (AR) and allograft loss. METHODS This was an Australian and New Zealand Dialysis and Transplantation and Organ Donation Registries-based retrospective cohort study. Patients who underwent RTx in New Zealand from 2008 to 2018 were identified. Patients younger than 16 years of age and those who left the country after RTx were excluded. RESULTS In the higher SED stratum of New Zealanders, the rate of RTx was 53% greater than in the lower SED stratum (odds ratio = 1.53; 95% confidence interval: 1.33-1.76; p < 0.00005). RESULTS One hundred and thirteen (23%) patients from the lower SED group and 51 (14.8%) patients from the higher SED group underwent living unrelated RTx, p = 0.0033. In 233 (67.5%) patients from the higher SED group and 265 (53.9%) patients from the lower SED group, transplanted kidneys were from deceased donors RTx, p = 0.0001. The incidence of allograft loss and patient survival were similar in these groups. CONCLUSION Our data demonstrated a lower overall survival in the more socioeconomically deprived patients than in the lower SED group however this was not statistically significant after adjustment for covariates. A larger study is required to determine whether SED is associated with reduced survival.
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Affiliation(s)
- Andrei M Belyaev
- Green Lane Cardiothoracic Surgical Unit, Auckland City Hospital, Auckland, New Zealand
| | - Luke Henry
- General Surgery, Auckland City Hospital, Auckland, New Zealand
| | - Ian Dittmer
- Auckland Renal Transplant Group, Department of Renal Medicine, Auckland City Hospital, Auckland, New Zealand
| | | | - Christopher E Davies
- Australia and New Zealand Dialysis and Transplant Registry, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Colleen J Bergin
- Anatomy with Medical Imaging, FMHS, University of Auckland, Auckland, New Zealand
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Mobile home residence as a risk factor for adverse events among children in a mixed rural-urban community: A case for geospatial analysis. J Clin Transl Sci 2020; 4:443-450. [PMID: 33244434 PMCID: PMC7681126 DOI: 10.1017/cts.2020.34] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Background: Given the significant health effects, we assessed geospatial patterns of adverse events (AEs), defined as physical or sexual abuse and accidents or poisonings at home, among children in a mixed rural–urban community. Methods: We conducted a population-based cohort study of children (<18 years) living in Olmsted County, Minnesota, to assess geographic patterns of AEs between April 2004 and March 2009 using International Classification of Diseases, Ninth Revision codes. We identified hotspots by calculating the relative difference between observed and expected case densities accounting for population characteristics (; hotspot ≥ 0.33) using kernel density methods. A Bayesian geospatial logistic regression model was used to test for association of subject characteristics (including residential features) with AEs, adjusting for age, sex, and socioeconomic status (SES). Results: Of the 30,227 eligible children (<18 years), 974 (3.2%) experienced at least one AE. Of the nine total hotspots identified, five were mobile home communities (MHCs). Among non-Hispanic White children (85% of total children), those living in MHCs had higher AE prevalence compared to those outside MHCs, independent of SES (mean posterior odds ratio: 1.80; 95% credible interval: 1.22–2.54). MHC residency in minority children was not associated with higher prevalence of AEs. Of addresses requiring manual correction, 85.5% belonged to mobile homes. Conclusions: MHC residence is a significant unrecognized risk factor for AEs among non-Hispanic, White children in a mixed rural–urban community. Given plausible outreach difficulty due to address discrepancies, MHC residents might be a geographically underserved population for clinical care and research.
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