Evidence map›Paper›PMID 37332835›Full record

ArticleHealth policy and technology2023

Cryptocurrency as a new method for participant compensation in research.

Renee Garett, Mohammed Emish, Sean D Young

Abstract read
In one paragraph

Article in Health policy and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Renee GarettElevateU, Irvine, California, United States of America.
Mohammed EmishUniversity of California Institute for Prediction Technology, Department of Informatics, University of California, Irvine, California, United States of America.
Sean D YoungDepartment of Emergency Medicine, University of California, Irvine, California, United States of America.

Funding

Big Data Digital Outreach and Epidemiology Methods for HIV Care among Communities of ColorR01MD018548 · NIMHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI Sean Young · 2022 to 2026
$3.9M
Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD PatientsR33AT010606 · NCCIH · UNIVERSITY OF CALIFORNIA-IRVINE · PI YOUNG, SEAN · 2020 to 2021
$3.5M
Mining real-time social media big data to monitor HIV: Development and Ethical IssuesR01AI132030 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2017 to 2020
$3.4M
Digital Device ID Targeting for Increasing Medications for Opioid Use Disorder: A Feasibility and Acceptability StudyR34DA054511 · NIDA · UNIVERSITY OF CALIFORNIA-IRVINE · PI YOUNG, SEAN · 2021 to 2023
$707k
Opioid Support and Risk Reduction Online PlatformR43DA049606 · NIDA · ELEVATEU · PI GARETT, RENEE · 2021 to 2021
$239k
Recruitment Platform to match Researchers with Substance Using ParticipantsR43DA048670 · NIDA · ELEVATEU · PI GARETT, RENEE · 2019 to 2019
$225k
NCCIH NIH HHS R33 AT010606NIAID NIH HHS R01 AI132030NIDA NIH HHS R34 DA054511NIDA NIH HHS R43 DA048670NIDA NIH HHS R43 DA049606NIMHD NIH HHS R01 MD018548
6 · The paper itself

Abstract

Public health research relies heavily on participant involvement. Investigators have examined factors that affect participation and found that altruism enables engagement. At the same time, time commitment, family concerns, multiple follow-up visits, and potential adverse events are barriers to engagement. Thus, investigators may need to find new methods to attract and motivate participants to participate, including new compensation methods. As cryptocurrency is being increasingly used and accepted to pay and reimburse people for work activities, this currency should be similarly explored as an option for research participants to attempt to incentivize them to participate in studies and offer new possibilities for study reimbursement. This paper explores the potential use of cryptocurrency as a form of compensation in public health research studies and discusses the pros and cons of its use. Although few studies have used cryptocurrency to compensate participants, cryptocurrency may be used as a reward for various research tasks, including filling out surveys, participating in in-depth interviews or focus groups, and/or completing interventions. Using cryptocurrencies to compensate participants in health-related studies can provide benefits such as anonymity, security, and convenience. However, it also poses potential challenges, including volatility, legal and regulatory challenges, and the risk of hacking and fraud. Researchers must carefully weigh the benefits against the potential downsides before using them as a compensation method in health-related studies.

Indexed as

bitcoincompensationcryptocurrencyethicsparticipant compensationpublic healthresearchresearch methodssurveys and questionnaire

Identifiers

PMID37332835
PMCPMC10270680

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.