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Bozigar M, Connolly CL, Legler A, Adams WG, Milando CW, Reynolds DB, Carnes F, Jimenez RB, Peer K, Vermeer K, Levy JI, Fabian MP. In-home environmental exposures predicted from geospatial characteristics of the built environment and electronic health records of children with asthma. Ann Epidemiol 2022; 73:38-47. [PMID: 35779709 PMCID: PMC11767575 DOI: 10.1016/j.annepidem.2022.06.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 06/03/2022] [Accepted: 06/20/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE Children may be exposed to numerous in-home environmental exposures (IHEE) that trigger asthma exacerbations. Spatially linking social and environmental exposures to electronic health records (EHR) can aid exposure assessment, epidemiology, and clinical treatment, but EHR data on exposures are missing for many children with asthma. To address the issue, we predicted presence of indoor asthma trigger allergens, and estimated effects of their key geospatial predictors. METHODS Our study samples were comprised of children with asthma who provided self-reported IHEE data in EHR at a safety-net hospital in New England during 2004-2015. We used an ensemble machine learning algorithm and 86 multilevel features (e.g., individual, housing, neighborhood) to predict presence of cockroaches, rodents (mice or rats), mold, and bedroom carpeting/rugs in homes. We reduced dimensionality via elastic net regression and estimated effects by the G-computation causal inference method. RESULTS Our models reasonably predicted presence of cockroaches (area under receiver operating curves [AUC] = 0.65), rodents (AUC = 0.64), and bedroom carpeting/rugs (AUC = 0.64), but not mold (AUC = 0.54). In models adjusted for confounders, higher average household sizes in census tracts were associated with more reports of pests (cockroaches and rodents). Tax-exempt parcels were associated with more reports of cockroaches in homes. Living in a White-segregated neighborhood was linked with lower reported rodent presence, and mixed residential/commercial housing and newer buildings were associated with more reports of bedroom carpeting/rugs in bedrooms. CONCLUSIONS We innovatively applied a machine learning and causal inference mixture methodology to detail IHEE among children with asthma using EHR and geospatial data, which could have wide applicability and utility.
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Affiliation(s)
- Matthew Bozigar
- Department of Environmental Health, Boston University School of Public Health, Boston, MA.
| | - Catherine L Connolly
- Department of Environmental Health, Boston University School of Public Health, Boston, MA
| | | | - William G Adams
- Department of Pediatrics, Boston Medical Center/Boston University School of Medicine, Boston, MA; Biomedical Informatics Core, Boston University Clinical and Translational Science Institute, Boston University School of Medicine, Boston, MA
| | - Chad W Milando
- Department of Environmental Health, Boston University School of Public Health, Boston, MA
| | - David B Reynolds
- Mathematics and Statistics Department, Boston University Arts and Sciences, Boston, MA
| | - Fei Carnes
- Department of Environmental Health, Boston University School of Public Health, Boston, MA
| | - Raquel B Jimenez
- Department of Environmental Health, Boston University School of Public Health, Boston, MA
| | - Komal Peer
- Department of Environmental Health, Boston University School of Public Health, Boston, MA
| | | | - Jonathan I Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, MA
| | - Maria Patricia Fabian
- Department of Environmental Health, Boston University School of Public Health, Boston, MA
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Kennedy K, Allenbrand R, Bowles E. The Role of Home Environments in Allergic Disease. Clin Rev Allergy Immunol 2020; 57:364-390. [PMID: 30684120 DOI: 10.1007/s12016-018-8724-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Allergic diseases are surprisingly common, chronic health conditions. The primary location where the vast majority of people are exposed to allergens and other substances is in their home. This means it is important to understand home environments and how a home's systems function and interact-and that how we occupy these spaces plays a crucial role in both environmental exposure and management of allergic disease. This review provides an overview of what is understood about home environmental exposure and its impact on our health, and proposes a systematic process for using a patient's environmental history to develop individualized, manageable and cost-effective recommendations. Once occupant-related information has been gathered, a home environmental exposure assessment should be performed focused on identifying the relationships between any identified sources of contaminants and the housing systems, and conditions that may be contributing to exposure. The results and recommendations from this assessment can then be used to guide exposure-reduction efforts by patients and/or their caregivers in an effort to improve disease management. In this review, we'll discuss three different types of home interventions-active, which must be routinely performed by the patient and/or caregiver, passive, which are interventions that work without routine, direct interaction from the homeowner, and behavioral changes in how the home environment is cleaned and maintained for long-term reduction of allergens. In this review, and others evaluated for this discussion, a significant number of home environmental assessment and intervention programs were shown to be cost effective, with the majority of programs showing a net positive return on investment. It is important to recognize that to be cost effective, the level and intensity of services offered through home visit programs need be stratified, based on the estimated health risks of the patient, in order to tailor the assessment and target the interventions to a patient's needs while maximizing cost effectiveness.
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Affiliation(s)
- Kevin Kennedy
- Section of Toxicology and Environmental Health, Children's Mercy Kansas City, Kansas City, USA.
| | - Ryan Allenbrand
- Section of Toxicology and Environmental Health, Children's Mercy Kansas City, Kansas City, USA
| | - Eric Bowles
- Section of Toxicology and Environmental Health, Children's Mercy Kansas City, Kansas City, USA
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3
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Kader R, Kennedy K, Portnoy JM. Indoor Environmental Interventions and their Effect on Asthma Outcomes. Curr Allergy Asthma Rep 2018; 18:17. [PMID: 29470668 DOI: 10.1007/s11882-018-0774-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
PURPOSE OF REVIEW The use of environmental interventions to improve outcomes in asthmatics has long been an elusive goal. While numerous interventions have been studied, the results of clinical trials have been mixed. This review aims to identify combinations of interventions that have been proven to be effective and to propose a model for using them in a clinical setting. RECENT FINDINGS An NIH workshop emphasized a need for research to identify effective interventions for reducing indoor exposures and improving asthma outcomes. A number of innovative measures were described, though evidence supporting their use was lacking. A recent systematic review described various interventions for which evidence is available. The greatest challenge for this approach is the same as that for the medical approach to treatment: nonadherence. Given evidence for effective interventions, control of environmental exposures should lead to improved asthma outcomes. Methods to improve adherence need to be identified.
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Affiliation(s)
- Rebin Kader
- Division of Allergy, Asthma & Immunology, Children's Mercy Hospitals & Clinics, 2401 Gillham Road, Kansas City, MO, 64108, USA
| | - Kevin Kennedy
- Division of Toxicology and Environmental Health, Children's Mercy, Kansas City, USA
| | - Jay M Portnoy
- Division of Allergy, Asthma & Immunology, Children's Mercy Hospitals & Clinics, 2401 Gillham Road, Kansas City, MO, 64108, USA.
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Majowicz SE, Meyer SB, Kirkpatrick SI, Graham JL, Shaikh A, Elliott SJ, Minaker LM, Scott S, Laird B. Food, health, and complexity: towards a conceptual understanding to guide collaborative public health action. BMC Public Health 2016; 16:487. [PMID: 27277001 PMCID: PMC4898364 DOI: 10.1186/s12889-016-3142-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Accepted: 05/14/2016] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND What we eat simultaneously impacts our exposure to pathogens, allergens, and contaminants, our nutritional status and body composition, our risks for and the progression of chronic diseases, and other outcomes. Furthermore, what we eat is influenced by a complex web of drivers, including culture, politics, economics, and our built and natural environments. To date, public health initiatives aimed at improving food-related population health outcomes have primarily been developed within 'practice silos', and the potential for complex interactions among such initiatives is not well understood. Therefore, our objective was to develop a conceptual model depicting how infectious foodborne illness, food insecurity, dietary contaminants, obesity, and food allergy can be linked via shared drivers, to illustrate potential complex interactions and support future collaboration across public health practice silos. METHODS We developed the conceptual model by first conducting a systematic literature search to identify review articles containing schematics that depicted relationships between drivers and the issues of interest. Next, we synthesized drivers into a common model using a modified thematic synthesis approach that combined an inductive thematic analysis and mapping to synthesize findings. RESULTS The literature search yielded 83 relevant references containing 101 schematics. The conceptual model contained 49 shared drivers and 227 interconnections. Each of the five issues was connected to all others. Obesity and food insecurity shared the most drivers (n = 28). Obesity shared several drivers with food allergy (n = 11), infectious foodborne illness (n = 7), and dietary contamination (n = 6). Food insecurity shared several drivers with infectious foodborne illness (n = 9) and dietary contamination (n = 9). Infectious foodborne illness shared drivers with dietary contamination (n = 8). Fewer drivers were shared between food allergy and: food insecurity (n = 4); infectious foodborne illness (n = 2); and dietary contamination (n = 1). CONCLUSIONS Our model explicates potential interrelationships between five population health issues for which public health interventions have historically been siloed, suggesting that interventions targeted towards these issues have the potential to interact and produce unexpected consequences. Public health practitioners working in infectious foodborne illness, food insecurity, dietary contaminants, obesity, and food allergy should actively consider how their seemingly targeted public health actions may produce unintended positive or negative population health impacts.
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Affiliation(s)
- Shannon E Majowicz
- School of Public Health and Health Systems, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada.
| | - Samantha B Meyer
- School of Public Health and Health Systems, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada
| | - Sharon I Kirkpatrick
- School of Public Health and Health Systems, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada
| | - Julianne L Graham
- School of Public Health and Health Systems, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada
| | - Arshi Shaikh
- Social Development Studies, Renison University College-University of Waterloo, 240 Westmount Road North, Waterloo, N2L 3G4, ON, Canada
| | - Susan J Elliott
- School of Public Health and Health Systems, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada
- Department of Geography & Environmental Management, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada
| | - Leia M Minaker
- Propel Centre for Population Health Impact, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada
| | - Steffanie Scott
- Department of Geography & Environmental Management, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada
| | - Brian Laird
- School of Public Health and Health Systems, University of Waterloo, 200 University Ave. West, Waterloo, N2L 3G1, ON, Canada
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Chew GL, Horner WE, Kennedy K, Grimes C, Barnes CS, Phipatanakul W, Larenas-Linnemann D, Miller JD. Procedures to Assist Health Care Providers to Determine When Home Assessments for Potential Mold Exposure Are Warranted. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2016; 4:417-422.e2. [PMID: 27021632 DOI: 10.1016/j.jaip.2016.01.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 08/15/2015] [Revised: 01/10/2016] [Accepted: 01/29/2016] [Indexed: 11/19/2022]
Abstract
Drawing evidence from epidemiology and exposure assessment studies and recommendations from expert practice, we describe a process to guide health care providers helping their patients who present with symptoms that might be associated with living in damp housing. We present the procedures in the form of a guided 2-part interview. The first part has 5 questions that triage the patient toward a more detailed questionnaire that reflects features of housing conditions known to be reliably associated with exposures to mold and dampness contaminants. We chose the questions based on the conditions associated with moisture problems in homes across the United States and Canada. The goal is to facilitate the clinician's effort to help patients reduce exposure to environmental triggers that elicit symptoms to better manage their disease.
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Affiliation(s)
- Ginger L Chew
- National Center for Environmental Health, Air Pollution and Respiratory Health Branch, Centers for Disease Control and Prevention (CDC), Atlanta, Ga.
| | | | - Kevin Kennedy
- Center for Environmental Health, Children's Mercy Hospital, Kansas City, Mo
| | | | - Charles S Barnes
- Center for Environmental Health, Children's Mercy Hospital, Kansas City, Mo
| | - Wanda Phipatanakul
- Division of Immunology and Allergy, Harvard Medical School and Boston Children's Hospital, Boston, Mass
| | | | - J David Miller
- Department of Chemistry, Carleton University, Ottawa, Ontario, Canada
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