Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis

Background: Controlled substances (CS) are ‘diverted’ (stolen) from healthcare facilities via many integrated and diverse mechanisms due to a lack of safeguards. There remains a gap in understanding how healthcare workers (HCWs) leverage their social networks (e.g., their role/tasks and interactions...

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Main Authors: Troy Francis, Maaike de Vries, Mark Fan, Sonia Pinkney, Reza Yousefi-Nooraie, Mathieu Ouimet, Valeria E. Rac, Patricia Trbovich
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Exploratory Research in Clinical and Social Pharmacy
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Online Access:http://www.sciencedirect.com/science/article/pii/S2667276624001276
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author Troy Francis
Maaike de Vries
Mark Fan
Sonia Pinkney
Reza Yousefi-Nooraie
Mathieu Ouimet
Valeria E. Rac
Patricia Trbovich
author_facet Troy Francis
Maaike de Vries
Mark Fan
Sonia Pinkney
Reza Yousefi-Nooraie
Mathieu Ouimet
Valeria E. Rac
Patricia Trbovich
author_sort Troy Francis
collection DOAJ
description Background: Controlled substances (CS) are ‘diverted’ (stolen) from healthcare facilities via many integrated and diverse mechanisms due to a lack of safeguards. There remains a gap in understanding how healthcare workers (HCWs) leverage their social networks (e.g., their role/tasks and interactions with other roles/tasks) within the medication use process (MUP) that contribute to diversion. Social network analysis (SNA) is an analytic approach used to map and analyze social connections, which can help identify influential interdependence between HCWs and tasks susceptible to drug diversion. Objectives: To map the social network structures of MUP tasks vulnerable to CS diversion in two Inpatient pharmacies and compare diversion risks by identifying influential tasks and HCWs. Methods: This was an exploratory sequential mixed methods study conducted in the Inpatient pharmacies at two large hospitals in Toronto, Canada. Initial analysis used previously collected clinical observation data to identify key pharmacy roles and tasks vulnerable to CS diversion. Subsequently, a cross-sectional survey was conducted to collect demographic information on HCWs and assess their engagement in the identified vulnerable tasks. Clinical observations and survey data were used to perform two-mode SNA to identify connections between HCWs and tasks susceptible to drug diversion. Results: The analysis identified different network structures across both sites but highlighted the importance of strategic Pharmacist or Technician Supervisor oversight to moderate-high vulnerability tasks. Pharmacy technicians were found to be the network's most central actors, while Pharmacists had a more supportive role on the network's periphery, providing oversight. Across both sites, there was strong connectivity between HCWs and tasks, indicating a higher level of security against potential undetected diversion. Conclusion: By strategically involving Pharmacists or Technician Supervisors, diversion risk can be mitigated through cross-checking and quality control. Through identifying the network structure of each unit, hospitals can identify opportunities for future interventions to prevent diversion.
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spelling doaj-art-ba4f0e03d2ff452ab2be93b236311f1a2025-08-20T02:31:16ZengElsevierExploratory Research in Clinical and Social Pharmacy2667-27662024-12-011610053010.1016/j.rcsop.2024.100530Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysisTroy Francis0Maaike de Vries1Mark Fan2Sonia Pinkney3Reza Yousefi-Nooraie4Mathieu Ouimet5Valeria E. Rac6Patricia Trbovich7HumanEra, Research and Innovation, North York General Hospital, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada; Program for Health System and Technology Evaluation, Ted Rogers Centre for Heart Research, Toronto General Hospital Research Institute, University Health Network, Canada; Corresponding author at: 10th Floor, Eaton North, Rm 251, 200 Elizabeth Street, Toronto General Hospital, Toronto, Ontario, Canada M5G 2C4.HumanEra, Research and Innovation, North York General Hospital, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, CanadaHumanEra, Research and Innovation, North York General Hospital, Toronto, Ontario, CanadaHumanEra, Research and Innovation, North York General Hospital, Toronto, Ontario, CanadaDepartment of Public Health Sciences, University of Rochester, New York, USADepartment of Political Science at Université Laval, Quebec, CanadaInstitute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada; Program for Health System and Technology Evaluation, Ted Rogers Centre for Heart Research, Toronto General Hospital Research Institute, University Health Network, CanadaHumanEra, Research and Innovation, North York General Hospital, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, CanadaBackground: Controlled substances (CS) are ‘diverted’ (stolen) from healthcare facilities via many integrated and diverse mechanisms due to a lack of safeguards. There remains a gap in understanding how healthcare workers (HCWs) leverage their social networks (e.g., their role/tasks and interactions with other roles/tasks) within the medication use process (MUP) that contribute to diversion. Social network analysis (SNA) is an analytic approach used to map and analyze social connections, which can help identify influential interdependence between HCWs and tasks susceptible to drug diversion. Objectives: To map the social network structures of MUP tasks vulnerable to CS diversion in two Inpatient pharmacies and compare diversion risks by identifying influential tasks and HCWs. Methods: This was an exploratory sequential mixed methods study conducted in the Inpatient pharmacies at two large hospitals in Toronto, Canada. Initial analysis used previously collected clinical observation data to identify key pharmacy roles and tasks vulnerable to CS diversion. Subsequently, a cross-sectional survey was conducted to collect demographic information on HCWs and assess their engagement in the identified vulnerable tasks. Clinical observations and survey data were used to perform two-mode SNA to identify connections between HCWs and tasks susceptible to drug diversion. Results: The analysis identified different network structures across both sites but highlighted the importance of strategic Pharmacist or Technician Supervisor oversight to moderate-high vulnerability tasks. Pharmacy technicians were found to be the network's most central actors, while Pharmacists had a more supportive role on the network's periphery, providing oversight. Across both sites, there was strong connectivity between HCWs and tasks, indicating a higher level of security against potential undetected diversion. Conclusion: By strategically involving Pharmacists or Technician Supervisors, diversion risk can be mitigated through cross-checking and quality control. Through identifying the network structure of each unit, hospitals can identify opportunities for future interventions to prevent diversion.http://www.sciencedirect.com/science/article/pii/S2667276624001276DiversionSocial network analysisHealthcare safetyHuman factorsPharmacy
spellingShingle Troy Francis
Maaike de Vries
Mark Fan
Sonia Pinkney
Reza Yousefi-Nooraie
Mathieu Ouimet
Valeria E. Rac
Patricia Trbovich
Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis
Exploratory Research in Clinical and Social Pharmacy
Diversion
Social network analysis
Healthcare safety
Human factors
Pharmacy
title Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis
title_full Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis
title_fullStr Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis
title_full_unstemmed Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis
title_short Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis
title_sort understanding the social networks that contribute to diversion in hospital inpatient pharmacies a social network analysis
topic Diversion
Social network analysis
Healthcare safety
Human factors
Pharmacy
url http://www.sciencedirect.com/science/article/pii/S2667276624001276
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