A scoping review of mHealth technologies for opioid overdose prevention, detection and response

TY - JOUR

T1 - A scoping review of mHealth technologies for opioid overdose prevention, detection and response

AU - Tas, Basak

AU - Lawn, Will

AU - Traykova, Elena V.

AU - Evans, Rebecca A.S.

AU - Murvai, Barbara

AU - Walker, Hollie

AU - Strang, John

N1 - Funding Information: Basak Tas is supported by National Institute for Health and Care Research (NIHR) Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London. John Strang is a researcher and clinician who has worked with a range of governmental and non‐governmental organisations, and with pharmaceutical companies to seek to identify new or improved treatments from whom he and his employer (King's College London) have received honoraria, research grants and/or consultancy payments: this includes, last 3 years, MundiPharma, Camurus, Accord/Molteni, Pneumowave. For a fuller account, see at http://www.kcl.ac.uk/ioppn/depts/addictions/people/hod.aspx . John Strang's research is supported by the NIHR Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London. Basak Tas, Will Lawn and John Strang are currently developing an agreement with PneumoWave (who are developing a sensor in this space) for a planned future study. Elena V. Traykova, Rebecca A. S. Evans, Barbara Murvai, Hollie Walker declare no conflicts of interest. Publisher Copyright: © 2023 The Authors. Drug and Alcohol Review published by John Wiley & Sons Australia, Ltd on behalf of Australasian Professional Society on Alcohol and other Drugs.

PY - 2023/5

Y1 - 2023/5

N2 - Issues: Opioid overdose kills over 100,000 people each year globally. Mobile health (mHealth) technologies and devices, including wearables, with the capacity to prevent, detect or respond to opioid overdose exist in early form, or could be re-purposed or designed. These technologies may particularly help those who use alone. For technologies to be successful, they must be effective and acceptable to the at-risk population. The aim of this scoping review is to identify published studies on mHealth technologies that attempt to prevent, detect or respond to opioid overdose. Approach: A systematic scoping review of literature was conducted up to October 2022. APA PsychInfo, Embase, Web of Science and Medline databases were searched. Inclusion criteria: articles had to report on (i) mHealth technologies that deal with (ii) opioid (iii) overdose. Key Findings: A total of 348 records were identified, with 14 studies eligible for this review across four domains: (i) technologies that require intervention/response from others (four); (ii) devices that use biometric data to detect overdose (five); (iii) devices that automatically respond to an overdose with administration of an antidote (three); (iv) acceptability/willingness to use overdose-related technologies/devices (five). Implications: There are multiple routes in which these technologies may be deployed, but several factors impact acceptability (e.g., discretion or size) and accuracy of detection (e.g., sensitive parameter/threshold with low false positive rate). Conclusion: mHealth technologies for opioid overdose may play a crucial role in responding to the ongoing global opioid crises. This scoping review identifies vital research that will determine the future success of these technologies.

AB - Issues: Opioid overdose kills over 100,000 people each year globally. Mobile health (mHealth) technologies and devices, including wearables, with the capacity to prevent, detect or respond to opioid overdose exist in early form, or could be re-purposed or designed. These technologies may particularly help those who use alone. For technologies to be successful, they must be effective and acceptable to the at-risk population. The aim of this scoping review is to identify published studies on mHealth technologies that attempt to prevent, detect or respond to opioid overdose. Approach: A systematic scoping review of literature was conducted up to October 2022. APA PsychInfo, Embase, Web of Science and Medline databases were searched. Inclusion criteria: articles had to report on (i) mHealth technologies that deal with (ii) opioid (iii) overdose. Key Findings: A total of 348 records were identified, with 14 studies eligible for this review across four domains: (i) technologies that require intervention/response from others (four); (ii) devices that use biometric data to detect overdose (five); (iii) devices that automatically respond to an overdose with administration of an antidote (three); (iv) acceptability/willingness to use overdose-related technologies/devices (five). Implications: There are multiple routes in which these technologies may be deployed, but several factors impact acceptability (e.g., discretion or size) and accuracy of detection (e.g., sensitive parameter/threshold with low false positive rate). Conclusion: mHealth technologies for opioid overdose may play a crucial role in responding to the ongoing global opioid crises. This scoping review identifies vital research that will determine the future success of these technologies.

KW - drug-related deaths

KW - mHealth

KW - opioid overdose

KW - opioids

KW - wearable technology

UR - http://www.scopus.com/inward/record.url?scp=85150765088&partnerID=8YFLogxK

U2 - 10.1111/dar.13645

DO - 10.1111/dar.13645

M3 - Review article

AN - SCOPUS:85150765088

SN - 0959-5236

VL - 42

SP - 748

EP - 764

JO - Drug and Alcohol Review

JF - Drug and Alcohol Review

IS - 4

ER -