Current Addiction Reports

, Volume 4, Issue 4, pp 397–409 | Cite as

A Review of Digital Surveillance Methods and Approaches to Combat Prescription Drug Abuse

Adolescent / Young Adult Addiction (T Chung, Section Editor)
Part of the following topical collections:
  1. Topical Collection on Adolescent / Young Adult Addiction

Abstract

Purpose of Review

The use of social media to conduct digital surveillance to address different health challenges is growing. This multidisciplinary review assesses the current state of methods and applied research used to conduct digital surveillance for prescription drug abuse.

Recent Findings

Fifteen studies met our inclusion criteria from the databases reviewed (PubMed, IEEE Xplore, and ACM Digital Library). The articles were characterized based on their overarching goals and aims, data collection and dataset attributes, and analysis approaches. Overall, reviewed studies grouped into two overarching categories as either being method-focused (advancing novel methodologies using social media data), applied-focused (generating new information on prescription drug abuse behavior), or having both elements. The social media platform most predominantly used was Twitter, with wide variation in sample size and duration of data collection. Several data analysis strategies were employed, including machine learning, temporal analysis, rule-based approaches, and statistical analysis.

Summary

Our review indicates that the field of prescription drug abuse digital surveillance is still maturing. Though many studies captured large volumes of data, the majority did not analyze data to characterize user behavior, a critical step needed in order to better explain the underlying risk environment for prescription drug abuse. Future studies need to better translate method-based approaches into applied research, use data generated from social media platforms other than Twitter, and take advantage of emerging data analysis strategies, including deep learning and multimodal approaches.

Keywords

Non-medical use of prescription drugs Prescription drug abuse Digital surveillance Twitter Social media Infoveillance 

Notes

Author Contributions

JK and TM jointly collected the data, designed the study, conducted the data analyses, and wrote the manuscript. All authors contributed to the formulation, drafting, completion, and approval of the final manuscript. There was no involvement of anyone other than the authors in the conception, design, collection, planning, conduct, analysis, interpretation, writing, and discussion to submit this work. Authors report no other financial relationships with any organizations that might have an interest in the submitted work.

Compliance with Ethical Standards

Conflict of Interest

Janani Kalyanam declares that she has no conflict of interest.

Tim K. Mackey is a non-compensated member of the academic advisory panel of the Alliance for Safe Online Pharmacies (ASOP), a 501(c)(4) social welfare organization engaged on the issue of illicit online pharmacies. He received funding for a separate ASOP pilot research grant exploring prescription drug abuse risks online not related to this study.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringUniversity of California, San DiegoSan DiegoUSA
  2. 2.Global Health Policy InstituteSan DiegoUSA
  3. 3.Department of AnesthesiologyUniversity of California, San Diego School of MedicineSan DiegoUSA
  4. 4.Department of Medicine, Division of Global Public HealthUniversity of California, San Diego School of MedicineSan DiegoUSA

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