2
|
Gorham TJ, Tumin D, Groner J, Allen E, Retzke J, Hersey S, Liu SB, Macias C, Alachraf K, Smith AW, Blount T, Wall B, Crickmore K, Wooten WI, Jamison SD, Rust S. Predicting emergency department visits among children with asthma in two academic medical systems. J Asthma 2023; 60:2137-2144. [PMID: 37318283 DOI: 10.1080/02770903.2023.2225603] [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: 04/20/2023] [Accepted: 06/11/2023] [Indexed: 06/16/2023]
Abstract
Objective: To develop and validate a predictive algorithm that identifies pediatric patients at risk of asthma-related emergencies, and to test whether algorithm performance can be improved in an external site via local retraining.Methods: In a retrospective cohort at the first site, data from 26 008 patients with asthma aged 2-18 years (2012-2017) were used to develop a lasso-regularized logistic regression model predicting emergency department visits for asthma within one year of a primary care encounter, known as the Asthma Emergency Risk (AER) score. Internal validation was conducted on 8634 patient encounters from 2018. External validation of the AER score was conducted using 1313 pediatric patient encounters from a second site during 2018. The AER score components were then reweighted using logistic regression using data from the second site to improve local model performance. Prediction intervals (PI) were constructed via 10 000 bootstrapped samples.Results: At the first site, the AER score had a cross-validated area under the receiver operating characteristic curve (AUROC) of 0.768 (95% PI: 0.745-0.790) during model training and an AUROC of 0.769 in the 2018 internal validation dataset (p = 0.959). When applied without modification to the second site, the AER score had an AUROC of 0.684 (95% PI: 0.624-0.742). After local refitting, the cross-validated AUROC improved to 0.737 (95% PI: 0.676-0.794; p = 0.037 as compared to initial AUROC).Conclusions: The AER score demonstrated strong internal validity, but external validity was dependent on reweighting model components to reflect local data characteristics at the external site.
Collapse
Affiliation(s)
- Tyler J Gorham
- Information Technology Research & Innovation, Nationwide Children's Hospital, Columbus, OH, USA
| | - Dmitry Tumin
- Department of Pediatrics, Brody School of Medicine at East Carolina University, Greenville, NC, USA
| | - Judith Groner
- Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH, USA
| | - Elizabeth Allen
- Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH, USA
| | - Jessica Retzke
- Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH, USA
| | - Stephen Hersey
- Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH, USA
| | - Swan Bee Liu
- Information Technology Research & Innovation, Nationwide Children's Hospital, Columbus, OH, USA
| | - Charlie Macias
- Quality Improvement Services, Nationwide Children's Hospital, Columbus, OH, USA
| | - Kamel Alachraf
- Brody School of Medicine at East Carolina University, Greenville, NC, USA
| | - Aimee W Smith
- Department of Psychology, East Carolina University, Greenville, NC, USA
| | | | | | | | - William I Wooten
- Department of Pediatrics, Brody School of Medicine at East Carolina University, Greenville, NC, USA
| | - Shaundreal D Jamison
- Department of Pediatrics, Brody School of Medicine at East Carolina University, Greenville, NC, USA
| | - Steve Rust
- Information Technology Research & Innovation, Nationwide Children's Hospital, Columbus, OH, USA
| |
Collapse
|
3
|
Pate CA, Qin X, Johnson C, Zahran HS. Asthma disparities among U.S. children and adults. J Asthma 2023; 60:2214-2223. [PMID: 37366607 PMCID: PMC10760409 DOI: 10.1080/02770903.2023.2228915] [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] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/07/2023] [Accepted: 06/20/2023] [Indexed: 06/28/2023]
Abstract
OBJECTIVE To assess factors that are associated with asthma prevalence and asthma attacks among children (0-17 years) and adults (18 years and over) in the United States of America. METHODS The 2019-2021 National Health Interview Survey data were analyzed using multivariable logistic regression models to determine associations between health outcomes (i.e. current asthma and asthma attacks) and demographic and socioeconomic factors. Each health outcome was regressed over each characteristic variable, adjusting for age, sex, and race/ethnicity for adults and sex and race/ethnicity for children. RESULTS Asthma was more common among children who were male, blacks, parental education less than bachelor's, or had public health insurance, and among adults who had less than a bachelor's degree, do not own a home, or not in the workforce. Persons in families facing difficulty paying medical bills were more likely to have current asthma (children: aPR = 1.62[1.40-1.88]; adults: aPR = 1.67[1.55-1.81]) and asthma attacks (children: aPR = 1.34[1.15-1.56]; adults: aPR = 1.31[1.20-1.43]). Persons with family income <100% federal poverty threshold (FPT) (children: aPR = 1.39[1.17-1.64]; adults: aPR = 1.64[1.50-1.80]) or adults 100-199% FPT (aPR = 1.28[1.19-1.39]) were more likely to have current asthma. Children and adults with family income <100% FPT and adults 100-199% FPT were also more likely to have asthma attacks. Having asthma attacks was common among adults not in the workforce as well (aPR = 1.17[1.07-1.27]). CONCLUSIONS Asthma affects certain groups disproportionately. The findings of this paper suggesting asthma disparities continue to persist may increase public health programs awareness to better deliver effective and evidence-based interventions.
Collapse
Affiliation(s)
- Cynthia A Pate
- Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Xiaoting Qin
- Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Carol Johnson
- Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Hatice S Zahran
- Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| |
Collapse
|
6
|
Puvvula J, Poole JA, Gwon Y, Rogan EG, Bell JE. Role of social determinants of health in differential respiratory exposure and health outcomes among children. BMC Public Health 2023; 23:119. [PMID: 36650500 PMCID: PMC9847182 DOI: 10.1186/s12889-022-14964-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/28/2022] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Attributes defining the Social Determinants of Health (SDoH) are associated with disproportionate exposures to environmental hazards and differential health outcomes among communities. The dynamics between SDoH, disproportionate environmental exposures, and differential health outcomes are often specific to micro-geographic areas. METHODS This study focused on children less than 20 years of age who lived in Douglas County, Nebraska, during 2016-2019. To assess the role of SDoH in differential exposures, we evaluated the association between SDoH metrics and criteria pollutant concentrations and the association between SDoH and pediatric asthma exacerbations to quantify the role of SDoH in differential pediatric asthma outcomes. The Bayesian Poisson regression model with spatial random effects was used to evaluate associations. RESULTS We identified significant positive associations between the annual mean concentration of criteria pollutants (carbon monoxide, particulate matter2.5, nitrogen dioxide, sulfur dioxide) with race (Non-Hispanic Black and Hispanic/Latino), financial stability, and literacy. Additionally, there were significant positive associations between higher rates of pediatric asthma emergency department visits and neighborhoods with more Non-Hispanic Black children, children without health insurance coverage, and households without access to a vehicle. CONCLUSIONS Non-Hispanic Black and Hispanic/Latino children living in Douglas County, NE experience disproportionately higher exposure to criteria pollutant concentrations. Additionally, higher rates of asthma exacerbations among Non-Hispanic Black children could be due to reduced access to respiratory care that is potentially the result of financial instability and vehicle access. These results could inform city planners and health care providers to mitigate respiratory risks among these higher at-risk populations.
Collapse
Affiliation(s)
- Jagadeesh Puvvula
- Department of Environmental, Agricultural, and Occupational Health, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Jill A. Poole
- grid.266813.80000 0001 0666 4105Division of Allergy and Immunology, Department of Medicine, University of Nebraska Medical Center, Omaha, NE USA
| | - Yeongjin Gwon
- grid.266813.80000 0001 0666 4105Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE USA
| | - Eleanor G. Rogan
- grid.266813.80000 0001 0666 4105Department of Environmental, Agricultural, and Occupational Health, College of Public Health, University of Nebraska Medical Center, Omaha, NE USA
| | - Jesse E. Bell
- grid.266813.80000 0001 0666 4105Department of Environmental, Agricultural, and Occupational Health, College of Public Health, University of Nebraska Medical Center, Omaha, NE USA ,grid.24434.350000 0004 1937 0060School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE USA ,grid.24434.350000 0004 1937 0060Daugherty Water for Food Global Institute, University of Nebraska, Lincoln, NE USA
| |
Collapse
|
7
|
Tyris J, Rodean J, Kulesa J, Dixon G, Bhansali P, Gayle T, Akani D, Magyar M, Tamaskar N, Parikh K. Social Risks and Health Care Utilization Among a National Sample of Children With Asthma. Acad Pediatr 2023; 23:130-139. [PMID: 35940571 DOI: 10.1016/j.acap.2022.07.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 01/19/2023]
Abstract
OBJECTIVES Prior studies using single-center populations have established associations between social risks and health care utilization among children with asthma. We aimed to evaluate associations between social risks and health care utilization among a nationally representative sample of children with asthma. STUDY DESIGN In this cross-sectional study, we utilized the 2018-2019 National Survey of Children's Health to identify children 2 to 17 years old with asthma. Using the Healthy People (HP) 2030 social determinants of health (SDOH) framework, we identified 31 survey items assessing 18 caregiver-identified social risks as exposure variables and classified them into the 5 HP SDOH domains (Economy, Education, Health care, Community, and Environment). Primary outcome was caregiver-reported health care utilization. Associations between individual social risks and total number of SDOH domains experienced with health care utilization were assessed. RESULTS The weighted study population included 8.05 million children, 96% of whom reported ≥1 social risk. Fourteen social risks, spanning all 5 SDOH domains, were significantly associated with increased health care utilization. The 3 risks with the highest adjusted odds ratios (aOR) of health care utilization included: experiencing discrimination (aOR 3.26 [95% confidence interval (CI): 1.75, 6.08]); receiving free/reduced lunch (aOR 2.16, [95% CI 1.57, 2.98]); and being a victim of violence (aOR 2.11, [95% CI 1.11, 4]). Children with risks across more SDOH domains reported significantly higher health care utilization. CONCLUSIONS Among our national population of children with asthma, social risks are prevalent and associated with increased health care utilization, highlighting their potential contribution to pediatric asthma morbidity.
Collapse
Affiliation(s)
- Jordan Tyris
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC.
| | | | - John Kulesa
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Gabrina Dixon
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Priti Bhansali
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Tamara Gayle
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Damilola Akani
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Matthew Magyar
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Nisha Tamaskar
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Kavita Parikh
- Division of Hospital Medicine (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), Children's National Hospital, Washington, DC; Department of Pediatrics (J Tyris, J Kulesa, G Dixon, P Bhansali, T Gayle, D Akani, M Magyar, N Tamaskar, and K Parikh), George Washington University School of Medicine and Health Sciences, Washington, DC
| |
Collapse
|