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Systematic Review

A systematic review of digital technology and innovation and its potential to address anti-corruption, transparency, and accountability in the pharmaceutical supply chain

, ORCID Icon, ORCID Icon & ORCID Icon
Pages 1061-1088 | Published online: 28 Jun 2022
 

ABSTRACT

Introduction

The urgent need to acquire medical supplies amidst the COVID-19 pandemic has led to bypassing of controls that govern the global pharmaceutical supply chain, increasing the risk of corruption. Hence, promoting anti-corruption, transparency, and accountability (ACTA) in supply chain and procurement has never been more important. The adoption of digital tools, if designed and implemented appropriately, can reduce the risks of corruption.

Areas Covered

Following PRISMA guidelines, we conducted an interdisciplinary systematic review of health/medicine, humanities/social sciences, engineering, and computer science literature, with the aims of identifying technologies used for pharmaceutical supply chain and procurement optimization and reviewing whether they address ACTA mechanisms to strengthen pharmaceutical governance. Our review identified four distinct categories of digital solutions: e-procurement and open contracting; track-and-trace technology; anti-counterfeiting technology; and blockchain technology.

Expert Opinion

Findings demonstrate an increase in research of technologies to improve pharmaceutical supply chain and procurement functions; however, most technologies are not being leveraged to directly address ACTA or global health outcomes. Some blockchain and RFID technologies incorporated ACTA mechanisms and mentioned specific policy/governance frameworks, but more purposeful linkage is needed. Findings point to the need for targeted policy development and governance to activate these innovative technologies to improve global health .

Abbreviations

ACM=

Association for Computing Machinery

ACTA=

Anti-Corruption, Transparency, and Accountability

ADC=

Automated Dispensing Cabinet

DLT=

Distributed ledger technology

DSCSA=

Drug Supply Chain Security Act

E-pedigree=

Electronic pedigree

E-procurement=

Electronic Procurement

HTAs=

Health Technology Assessments

ICT=

Information and Communication Technologies

IEEE=

Institute of Electrical and Electronics Engineers

IoT=

Internet-of-Things

JSTOR=

Journal Storage

NFC=

Near Field Communication

NFT=

Non-fungible token

NGO=

Non-governmental Organization

NQR=

Nuclear Quadrupole Resonance

OECD=

Organisation for Economic Co-operation and Development

OCDS=

Open Contracting Data Standard

RFID=

Radio-frequency Identification

UHF=

Ultra-high Frequency

UN=

United Nations

UNCAC=

United Nations Convention on against Corruption

UNCTAD=

United Nations Conference on Trade and Development

UNDP=

United Nations Development Programme

UNODC=

United Nations Office on Drugs and Crime

WHO=

World Health Organization

Author contributions

G Saeed and TK Mackey contributed to methodology, data curation, formal analysis, writing – original draft. JC Kohler and TK Mackey contributed to supervision, project administration, and funding acquisition. All authors contributing to conceptualization, writing – review and editing of the manuscript.

Data availability

This systematic review is not registered.

Declaration of interest

TK Mackey is the CEO and co-founder of the startup company S-3 Research LLC, which is a company focused on data science solutions to address public health challenges and is currently funded by a National Institutes of Health – National Institute on Drug Abuse Small Business Innovation Research Contract. The company had no input, provided no funding, and otherwise had no involvement in the study. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Additional information

Funding

This project was funded by the Connaught Global Challenge Award, grant number: 72060095.

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