TY - JOUR
T1 - Creation and Validation of a New Socio-built Environment Index Measure of Opioid Overdose Risk for Use in Both Non-urban and Urban Settings
AU - Williams, Leslie D.
AU - Kolak, Marynia
AU - Villanueva, Christian
AU - Ompad, Danielle C.
AU - Tempalski, Barbara
N1 - This research was supported by the National Institute on Drug Abuse (NIDA), of the National Institutes of Health: “Developing a public health measure of built environment to assess risk of nonmedical opioid use and related mortality in urban and non-urban areas in New Jersey” (R21DA046739; B Tempalski PI). Danielle C. Ompad is funded, in part, by the NIDA-funded Center for Drug Use and HIV/HCV Research (P30DA011041). Special thanks to Michael R. Ratclifffe (United States Census Bureau), Drs. David Tulloch and Richard Lathrop (CRSSA Rutgers Lab), Dr. John Hasse (NJ MAP project), Leonard Preston (NJ State Data Center), Lucas Marxen (NJ Agricultural Experiment Station, Office of Research Analytics), Susan Oldenburg (Rutgers University Library), Dr. Andrew Falzon (NJ Chief State Medical Examiner), Jason Timmerman (NJ Department of Health), Shana Latham (NJOCSME), Susan Paykin (University of Chicago), and Julia Kochinsky (University of Chicago), all of whom provided invaluable assistance, support, and/or advice with regard to data acquisition and/or data applicability and operationalization. We also thank multiple students at the University of Chicago at the University of Illinois at Chicago who helped in data collection, cleaning, and wrangling tasks, including Kerri Goldstein, Olina Lang, Fanmei Xia, Gabe Morrison, Clyde Schwab, and Emily Selch.
This research was supported by the National Institute on Drug Abuse (NIDA), of the National Institutes of Health: “Developing a public health measure of built environment to assess risk of nonmedical opioid use and related mortality in urban and non-urban areas in New Jersey” (R21DA046739; B Tempalski PI). Danielle C. Ompad is funded, in part, by the NIDA-funded Center for Drug Use and HIV/HCV Research (P30DA011041). Special thanks to Michael R. Ratclifffe (United States Census Bureau), Drs. David Tulloch and Richard Lathrop (CRSSA Rutgers Lab), Dr. John Hasse (NJ MAP project), Leonard Preston (NJ State Data Center), Lucas Marxen (NJ Agricultural Experiment Station, Office of Research Analytics), Susan Oldenburg (Rutgers University Library), Dr. Andrew Falzon (NJ Chief State Medical Examiner), Jason Timmerman (NJ Department of Health), Shana Latham (NJOCSME), Susan Paykin (University of Chicago), and Julia Kochinsky (University of Chicago), all of whom provided invaluable assistance, support, and/or advice with regard to data acquisition and/or data applicability and operationalization. We also thank multiple students at the University of Chicago at the University of Illinois at Chicago who helped in data collection, cleaning, and wrangling tasks, including Kerri Goldstein, Olina Lang, Fanmei Xia, Gabe Morrison, Clyde Schwab, and Emily Selch.
PY - 2023/10
Y1 - 2023/10
N2 - A great deal of literature has examined features of the physical built environment as predictors of opioid overdose and other substance use-related outcomes. Other literature suggests that social characteristics of settings are important predictors of substance use outcomes. However, there is a dearth of literature simultaneously measuring both physical and social characteristics of settings in an effort to better predict opioid overdose. There is also a dearth of literature examining built environment as a predictor of overdose in non-urban settings. The present study presents a novel socio-built environment index measure of opioid overdose risk comprised of indicators measuring both social and physical characteristics of settings — and developed for use in both urban and non-urban settings — and assesses its validity among 565 urban, suburban, and rural New Jersey municipalities. We found that this novel measure had good convergent validity, based on significant positive associations with a social vulnerability index and crime rates, and significant negative associations with a municipal revitalization index and high school graduation rates. The index measure had good discriminant validity, based on lack of association with three different racial isolation indices. Finally, our index measure had good health outcome-based criterion validity, based on significant positive associations with recent overdose mortality. There were no major differences between rural, suburban, and urban municipalities in validity analysis findings. This promising new socio-built environment risk index measure could improve ability to target and allocate resources to settings with the greatest risk, in order to improve their impact on overdose outcomes.
AB - A great deal of literature has examined features of the physical built environment as predictors of opioid overdose and other substance use-related outcomes. Other literature suggests that social characteristics of settings are important predictors of substance use outcomes. However, there is a dearth of literature simultaneously measuring both physical and social characteristics of settings in an effort to better predict opioid overdose. There is also a dearth of literature examining built environment as a predictor of overdose in non-urban settings. The present study presents a novel socio-built environment index measure of opioid overdose risk comprised of indicators measuring both social and physical characteristics of settings — and developed for use in both urban and non-urban settings — and assesses its validity among 565 urban, suburban, and rural New Jersey municipalities. We found that this novel measure had good convergent validity, based on significant positive associations with a social vulnerability index and crime rates, and significant negative associations with a municipal revitalization index and high school graduation rates. The index measure had good discriminant validity, based on lack of association with three different racial isolation indices. Finally, our index measure had good health outcome-based criterion validity, based on significant positive associations with recent overdose mortality. There were no major differences between rural, suburban, and urban municipalities in validity analysis findings. This promising new socio-built environment risk index measure could improve ability to target and allocate resources to settings with the greatest risk, in order to improve their impact on overdose outcomes.
KW - Built Environment
KW - Measure Validation
KW - Opioid Overdose
KW - Risk Index Measure
KW - Social Characteristics of Settings
UR - http://www.scopus.com/inward/record.url?scp=85166912038&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85166912038&partnerID=8YFLogxK
U2 - 10.1007/s11524-023-00754-7
DO - 10.1007/s11524-023-00754-7
M3 - Article
C2 - 37550500
AN - SCOPUS:85166912038
SN - 1099-3460
VL - 100
SP - 1048
EP - 1061
JO - Journal of Urban Health
JF - Journal of Urban Health
IS - 5
ER -