TY - JOUR
T1 - Spillover effects from health information systems integration
T2 - Evidence from prescription drug monitoring programs
AU - Shen, Yufei
AU - Jiang, Dorothy Lianlian
AU - Andritsos, Dimitrios A.
AU - Li, Xitong
N1 - Funding Information:
We sincerely thank the three anonymous reviewers, associate editor, and special issue editors for their detailed and constructive comments on earlier versions of the paper. We also thank Elliot Bendoly, co\u2010editor\u2010in\u2010chief, for his support and guidance throughout the review process. Yufei Shen acknowledges funding support from FCT (UIDB/00124/2020, UIDP/00124/2020, UID/00124, POR Lisboa (PINFRA/22209/2016), POR Norte (PINFRA/22209/2016). Dorothy Jiang acknowledges funding support from the Behavioral Research Assistance Grant, the C.T. Bauer College of Business, University of Houston. Dimitrios Andritsos acknowledges funding support from the HEC Paris Foundation, Qatar Foundation, and Labex Ecodec: Investissements d'Avenir (ANR\u201011\u2010IDEX\u20100003/Labex Ecodec/ANR\u201011\u2010LABX\u20100047). Xitong Li acknowledges funding support from the HEC Foundation at HEC Paris and research fellowship from Hi! PARIS, a joint research center between HEC Paris and Institut Polytechnique de Paris.
Publisher Copyright:
© 2025 Association for Supply Chain Management, Inc.
PY - 2025/4
Y1 - 2025/4
N2 - To ease prescribers' burden in using statewide Prescription Drug Monitoring Programs (PDMPs), many US states have moved to better integrate PDMP data with patients' electronic health records (EHRs). While such PDMP-EHR integration is likely to reduce local formal prescription opioid consumption, in this paper, we explore the possibility that it induces individuals to seek opioids across state borders and/or at the local black market. We find that for a focal county, its neighboring state's PDMP-EHR integration leads to an increase in the focal county's consumption of prescription opioids, an undesirable cross-border spillover effect. Moreover, we find that this spillover effect is mitigated when prescribers in the focal county have access to the neighboring state's PDMP data via interstate PDMP data sharing. We also find nuanced evidence that a state's PDMP-EHR integration might induce an increase in its black-market prices of prescription opioids. While vertical information integration in a region (i.e., a state's PDMP-EHR integration) may fulfill its intended benefit, our findings suggest it may also result in a spillover effect on neighboring areas. Notably, a complementary horizontal information integration (in this case, interstate PDMP data sharing) could mitigate such an undesirable spillover effect. We discuss implications for the design of care delivery processes, particularly prescription processes, that rely on the studied health information systems.
AB - To ease prescribers' burden in using statewide Prescription Drug Monitoring Programs (PDMPs), many US states have moved to better integrate PDMP data with patients' electronic health records (EHRs). While such PDMP-EHR integration is likely to reduce local formal prescription opioid consumption, in this paper, we explore the possibility that it induces individuals to seek opioids across state borders and/or at the local black market. We find that for a focal county, its neighboring state's PDMP-EHR integration leads to an increase in the focal county's consumption of prescription opioids, an undesirable cross-border spillover effect. Moreover, we find that this spillover effect is mitigated when prescribers in the focal county have access to the neighboring state's PDMP data via interstate PDMP data sharing. We also find nuanced evidence that a state's PDMP-EHR integration might induce an increase in its black-market prices of prescription opioids. While vertical information integration in a region (i.e., a state's PDMP-EHR integration) may fulfill its intended benefit, our findings suggest it may also result in a spillover effect on neighboring areas. Notably, a complementary horizontal information integration (in this case, interstate PDMP data sharing) could mitigate such an undesirable spillover effect. We discuss implications for the design of care delivery processes, particularly prescription processes, that rely on the studied health information systems.
KW - Difference-in-differences
KW - Health information systems
KW - Healthcare operations
KW - Prescription drug monitoring programs
KW - Spillover effect
KW - Supplied opioid quantity
UR - http://www.scopus.com/inward/record.url?scp=105002612286&partnerID=8YFLogxK
U2 - 10.1002/joom.1367
DO - 10.1002/joom.1367
M3 - Article
AN - SCOPUS:105002612286
SN - 0272-6963
JO - Journal of Operations Management
JF - Journal of Operations Management
ER -