Spillover Effects From Health Information Systems Integration: Evidence From Prescription Drug Monitoring Programs

ABSTRACT 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.

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Publication Details

Journal
Journal of Operations Management
Published
2025-04-15
DOI
https://doi.org/10.1002/joom.1367
Citations
1
Primary Topic
Pharmaceutical Economics and Policy
Type
article
Field-Weighted Citation Impact
3.13

Funders

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article

Spillover Effects From Health Information Systems Integration: Evidence From Prescription Drug Monitoring Programs

Lianlian Jiang, Xitong Li, Dimitrios Andritsos, Yufei Shen
1 citations
Journal of Operations Management
Pharmaceutical Economics and Policy
3.13
article

Spillover Effects From Health Information Systems Integration: Evidence From Prescription Drug Monitoring Programs

Lianlian Jiang, Xitong Li, Dimitrios Andritsos, Yufei Shen
article en
1 citations

Abstract

ABSTRACT 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.

Journal of Operations ManagementVol. 72(2)
University of Houston (US), Universidade Nova de Lisboa (PT), HEC Paris (FR)
Qatar Foundation, Institut Polytechnique de Paris, Agence Nationale de la Recherche, Fondation HEC, Labex Ecodec, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 9%
Pharmaceutical Economics and Policy
3.13
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