Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review

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Abstract

Background

Advances in technology engender the investigation of technological solutions to opioid use disorder (OUD). However, in comparison to chronic disease management, the application of mobile health (mHealth) to OUD has been limited.

Objective

The overarching aim of our research was to design OUD management technologies that utilize wearable sensors to provide continuous monitoring capabilities. The objectives of this study were to (1) document the currently available opioid-related mHealth apps, (2) review past and existing technology solutions that address OUD, and (3) discuss opportunities for technological withdrawal management solutions.

Methods

We used a two-phase parallel search approach: (1) an app search to determine the availability of opioid-related mHealth apps and (2) a scoping review of relevant literature to identify relevant technologies and mHealth apps used to address OUD.

Results

The app search revealed a steady rise in app development, with most apps being clinician-facing. Most of the apps were designed to aid in opioid dose conversion. Despite the availability of these apps, the scoping review found no study that investigated the efficacy of mHealth apps to address OUD.

Conclusions

Our findings highlight a general gap in technological solutions of OUD management and the potential for mHealth apps and wearable sensors to address OUD.

Related collections

Most cited references 56

Record: found
Abstract: found
Article: not found

Societal costs of prescription opioid abuse, dependence, and misuse in the United States.

Howard Birnbaum, Alan G White, Matt Schiller … (2011)

The objective of this study was to estimate the societal costs of prescription opioid abuse, dependence, and misuse in the United States. Costs were grouped into three categories: health care, workplace, and criminal justice. Costs were estimated by 1) quantity method, which multiplies the number of opioid abuse patients by cost per opioid abuse patient; and 2) apportionment method, which begins with overall costs of drug abuse per component and apportions the share associated with prescription opioid abuse based on relative prevalence of prescription opioid to overall drug abuse. Excess health care costs per patient were based on claims data analysis of privately insured and Medicaid beneficiaries. Other data/information were derived from publicly available survey and other secondary sources. Total US societal costs of prescription opioid abuse were estimated at $55.7 billion in 2007 (USD in 2009). Workplace costs accounted for $25.6 billion (46%), health care costs accounted for $25.0 billion (45%), and criminal justice costs accounted for $5.1 billion (9%). Workplace costs were driven by lost earnings from premature death ($11.2 billion) and reduced compensation/lost employment ($7.9 billion). Health care costs consisted primarily of excess medical and prescription costs ($23.7 billion). Criminal justice costs were largely comprised of correctional facility ($2.3 billion) and police costs ($1.5 billion). The costs of prescription opioid abuse represent a substantial and growing economic burden for the society. The increasing prevalence of abuse suggests an even greater societal burden in the future. Wiley Periodicals, Inc.

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Record: found
Abstract: found
Article: not found

An autonomic flexibility-neurovisceral integration model of anxiety and cardiac vagal tone.

Thomas B. Friedman (2007)

Research on heart rate variability (HRV), cardiac vagal tone, and their relationship to anxiety is reviewed in the context of the autonomic flexibility and neurovisceral integration models of adaptive functioning. These perspectives address the qualities of response flexibility and inhibition across multiple levels, incorporating central and autonomic nervous system mechanisms of environmental engagement, as well as principles derived from non-linear dynamics. These models predict reduced HRV and vagal tone in anxiety, and the literature has generally supported this prediction, with exceptions as are noted. State, trait, and clinical expressions of anxiety are considered, along with the clinical, methodological, and theoretical implications of this research. A portrayal of anxiety as a restricted response range across biological and behavioral realms of functioning is drawn from the literature on anxiety and HRV.

0 comments Cited 170 times – based on 0 reviews      Review now

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Record: found
Abstract: not found
Article: not found

Treatment of Opioid-Use Disorders.

Dan L Longo, Marc Schuckit (2016)

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Author and article information

Contributors

Farzan Sasangohar:

ORCID: https://orcid.org/0000-0001-9962-5470

Department of Industrial and Systems EngineeringTexas A&M University3131 TAMUCollege Station, TX, 77843United States1 9794582337sasangohar@tamu.edu

Journal

Journal ID (nlm-ta): JMIR Mhealth Uhealth

Journal ID (iso-abbrev): JMIR Mhealth Uhealth

Journal ID (publisher-id): JMU

Title: JMIR mHealth and uHealth

Publisher: JMIR Publications (Toronto, Canada )

ISSN (Electronic): 2291-5222

Publication date Collection: June 2020

Publication date (Electronic): 5 June 2020

Volume: 8

Issue: 6

Electronic Location Identifier: e15752

Affiliations

[1 ] Department of Industrial and Systems Engineering Texas A&M University College Station, TX United States

[2 ] Center for Outcomes Research Houston Methodist Hospital Houston, TX United States

Author notes

Corresponding Author: Farzan Sasangohar sasangohar@ 123456tamu.edu

Author information

Joseph Nuamah https://orcid.org/0000-0001-7172-0716

Ranjana Mehta https://orcid.org/0000-0002-8254-8365

Farzan Sasangohar https://orcid.org/0000-0001-9962-5470

Article

Publisher ID: v8i6e15752

DOI: 10.2196/15752

PMC ID: 7305558

PubMed ID: 32501273

SO-VID: e480f030-fd7a-4fec-84b2-1ce93e4b2cdc

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

History

Date received : 2 August 2019

Date revision requested : 15 October 2019

Date revision received : 19 January 2020

Date accepted : 1 March 2020

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