Ethical Perspectives in Using Technology-Enabled Research for Key HIV Populations in Rights-Constrained Settings

HIV data and statistics. https://www.who.int/teams/global-hiv-hepatitis-and-stis-programmes/hiv/strategic-information/hiv-data-and-statistics (accessed May 10, 2022).

HIV and injection drug use | HIV transmission | HIV basics | HIV/AIDS | CDC, Mar. 30, 2022. https://www.cdc.gov/hiv/basics/hiv-transmission/injection-drug-use.html (accessed May 10, 2022).

C. S. H. gov D. last updated: August 27 and 2018, Substance use and HIV risk, HIV.gov, Aug. 27, 2018. https://www.hiv.gov/hiv-basics/hiv-prevention/reducing-risk-from-alcohol-and-drug-use/substance-use-and-hiv-risk (accessed May 10, 2022).

Sex workers | HIV by group | HIV/AIDS | CDC, Apr. 01, 2022. https://www.cdc.gov/hiv/group/sexworkers.html (accessed May 10, 2022).

Paz-Bailey G, Noble M, Salo K, Tregear SJ. Prevalence of HIV among U.S. female sex workers: systematic review and meta-analysis. AIDS Behav. 2016;20(10):2318–31. https://doi.org/10.1007/s10461-016-1332-y.

Article  PubMed  PubMed Central  Google Scholar 

Rusakova M, Rakhmetova A, Strathdee SA. Why are sex workers who use substances at risk for HIV? The Lancet. 2015;385(9964):211–2. https://doi.org/10.1016/S0140-6736(14)61042-4.

Article  Google Scholar 

US: disastrous toll of criminalizing drug use, Human Rights Watch, Oct. 12, 2016. https://www.hrw.org/news/2016/10/12/us-disastrous-toll-criminalizing-drug-use (accessed May 10, 2022).

Crack cocaine fast facts, p. 2.

Heroin fast facts. https://www.justice.gov/archive/ndic/pubs3/3843/index.htm (accessed Jun. 02, 2022).

9–100.000 - the controlled substances act, Feb. 19, 2015. https://www.justice.gov/jm/jm-9-100000-controlled-substances-act (accessed Jun. 02, 2022).

N. I. on D. Abuse, Punishing drug use heightens the stigma of addiction, National Institute on Drug Abuse, Aug. 09, 2021. https://nida.nih.gov/about-nida/noras-blog/2021/08/punishing-drug-use-heightens-stigma-addiction (accessed May 10, 2022).

The war on drugs and HIV/AIDS: how the criminalization of drug use fuels the global pandemic. https://www.opensocietyfoundations.org/publications/war-drugs-and-hivaids-how-criminalization-drug-use-fuels-global-pandemic (accessed Jun. 09, 2022).

HIV and sex work — human rights fact sheet series 2021, p. 6.

Albright E, D’Adamo K. Decreasing human trafficking through sex work decriminalization. AMA J Ethics. 2017;19(1):122–6. https://doi.org/10.1001/journalofethics.2017.19.1.sect2-1701.

Article  PubMed  Google Scholar 

Consequences_of_criminalization_v2.pdf. Accessed: May 10, 2022. [Online]. Available: https://law.yale.edu/sites/default/files/area/center/ghjp/documents/consequences_of_criminalization_v2.pdf

Platt L, et al. Associations between sex work laws and sex workers’ health: a systematic review and meta-analysis of quantitative and qualitative studies. PLoS Med. 2018;15(12):e1002680. https://doi.org/10.1371/journal.pmed.1002680.

Article  PubMed  PubMed Central  Google Scholar 

Garett R, Young SD. Potential application of conversational agents in HIV testing uptake among high-risk populations. J Public Health (Oxf). 2023;45(1):189–92. https://doi.org/10.1093/pubmed/fdac020.

Garett R, Young SD. The importance of diverse key stakeholders in deciding the role of artificial intelligence for HIV research and policy. Health Policy and Technology. 2022;11(1):100599.

Young SD, Cumberland WG, Nianogo R, Menacho LA, Galea JT, Coates T. The HOPE social media intervention for global HIV prevention: a cluster randomized controlled trial in Peru. Lancet HIV. 2015;2(1):e27–32. https://doi.org/10.1016/S2352-3018(14)00006-X.

Article  PubMed  Google Scholar 

S. Qiao, X. Li, B. Olatosi, and S. D. Young, Utilizing Big Data analytics and electronic health record data in HIV prevention, treatment, and care research: a literature review, AIDS Care, 1–21, 2021.

Young S, Holloway I, Jaganath D, Rice E, Westmoreland D, Coates T. Project HOPE: online social network changes in an HIV prevention randomized controlled trial for African American and Latino men who have sex with men. Am J Public Health. 2014;104:e1–6. https://doi.org/10.2105/AJPH.2014.301992.

Article  Google Scholar 

Young SD, Lee SJ, Perez H, Gill N, Gelberg L, Heinzerling K. Social media as an emerging tool for reducing prescription opioid misuse risk factors. Heliyon. 2020;6(3):03471. https://doi.org/10.1016/j.heliyon.2020.e03471.

Article  Google Scholar 

Biello KB, et al. Development and evaluation of a mobile app designed to increase HIV testing and pre-exposure prophylaxis use among young men who have sex with men in the United States: open pilot trial. J Med Internet Res. 2021;23(3):e25107. https://doi.org/10.2196/25107.

Article  PubMed  PubMed Central  Google Scholar 

Sullivan PS, Hightow-Weidman L. Mobile apps for HIV prevention: how do they contribute to our epidemic response for adolescents and young adults? MHealth. 2021;7:36. https://doi.org/10.21037/mhealth-20-71.

Article  PubMed  PubMed Central  Google Scholar 

Garett R, Young SD. Ethical views on sharing digital data for public health surveillance: analysis of survey data among patients. Front Big Data. 2022;5:871236. https://doi.org/10.3389/fdata.2022.871236.

The Belmont Report | HHS.gov. https://www.hhs.gov/ohrp/regulations-and-policy/belmont-report/index.html (accessed Jun. 22, 2022).

Drug scheduling. https://www.dea.gov/drug-information/drug-scheduling (accessed Dec. 06, 2022).

HIV and substance use | HIV transmission | HIV basics | HIV/AIDS | CDC, Mar. 30, 2022. https://www.cdc.gov/hiv/basics/hiv-transmission/substance-use.html (accessed Dec. 07, 2022).

B. Tofighi, J. M. Nicholson, J. McNeely, F. Muench, and J. D. Lee, Mobile phone messaging for illicit drug and alcohol dependence: a systematic review of the literature, Drug Alcohol Rev., 2017;36(4): 477–491. https://doi.org/10.1111/dar.12535One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

J. M. Butler, W. C. Becker, and K. Humphreys, Big data and the opioid crisis: balancing patient privacy with public health, J. Law Med. Ethics J. Am. Soc. Law Med. Ethics, 2018;46(2): 440–453. https://doi.org/10.1177/1073110518782952One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

S. C. Pessar, A. Boustead, Y. Ge, R. Smart, and R. L. Pacula, Assessment of state and federal health policies for opioid use disorder treatment during the COVID-19 pandemic and beyond, JAMA Health Forum, 2021;2(11): e213833. https://doi.org/10.1001/jamahealthforum.2021.3833One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

J. van Draanen, S. Satti, J. Morgan, L. Gaudette, R. Knight, and L. Ti, Using passive surveillance technology for overdose prevention: key ethical and implementation issues, Drug Alcohol Rev., 2022;41(2): 406–409. https://doi.org/10.1111/dar.13373One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

A. Gonzales et al., Potential uses of blockchain technology for outcomes research on opioids, JMIR Med. Inform., 2021;9(8): e16293. https://doi.org/10.2196/16293One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

S.-E. Brown, A. Krishnan, Y. S. Ranjit, R. Marcus, and F. L. Altice, Assessing mobile health feasibility and acceptability among HIV-infected cocaine users and their healthcare providers: guidance for implementing an intervention, mHealth, 2020;6 4. https://doi.org/10.21037/mhealth.2019.09.12One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

S. J. Kim, L. A. Marsch, J. T. Hancock, and A. K. Das, Scaling up research on drug abuse and addiction through social media big data, J. Med. Internet Res., 2017;19(10): e6426. https://doi.org/10.2196/jmir.6426One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

S. L. Proctor, K. K. Rigg, and A. Y. Tien, Acceptability and usability of a reward-based mobile app for opioid treatment settings: mixed methods pilot study, JMIR Form. Res., 2022;6(10): e37474. https://doi.org/10.2196/37474One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

V. W. L. Tsang, K. Papamihali, A. Crabtree, and J. A. Buxton, Acceptability of technological solutions for overdose monitoring: perspectives of people who use drugs, Subst. Abuse, 2021;42(3): 284–293. https://doi.org/10.1080/08897077.2019.1680479One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

L. Ti, A. Ho, and R. Knight, Towards equitable AI interventions for people who use drugs: key areas that require ethical investment, J. Addict. Med., 2021;15(2): 96–98. https://doi.org/10.1097/ADM.0000000000000722One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

E. C. Pasipanodya, M. Kohli, C. B. Fisher, D. J. Moore, and B. Curtis, Perceived risks and amelioration of harm in research using mobile technology to support antiretroviral therapy adherence in the context of methamphetamine use: a focus group study among minorities living with HIV, Harm. Reduct. J., 2020;17(1): 41. https://doi.org/10.1186/s12954-020-00384-1One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

U. Varshney, N. Singh, A. G. Bourgeois, and S. R. Dube, Review, assess, classify, and evaluate (RACE): a framework for studying m-health apps and its application for opioid apps, J. Am. Med. Inform. Assoc., 2022;29(3): 520–535. https://doi.org/10.1093/jamia/ocab277One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

M. Roth et al., Potential risks of ecological momentary assessment among persons who inject drugs, Subst. Use Misuse, 2017;52(7): 840–847. https://doi.org/10.1080/10826084.2016.1264969One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

K. J. Langdon, P. Jiménez Muñoz, A. Block, C. Scherzer, and S. Ramsey, Feasibility and acceptability of a digital health intervention to promote continued engagement in medication for opioid use disorder following release from jail/prison, Subst. Abuse Res. Treat., 2022;16 11782218221127112. https://doi.org/10.1177/11782218221127111One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

I. D. Aronson, A. S. Bennett, and R. Freeman, Toward a human-centered use of technology: a stakeholder analysis of harm reduction and CBO staff, Harm. Reduct. J., 2020;17(1): 77. https://doi.org/10.1186/s12954-020-00422-yOne of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

S. D. Young and K. Heinzerling, The Harnessing Online Peer Education (HOPE) intervention for reducing prescription drug abuse: a qualitative study, J. Subst. Use, 2017;22(6): 592–596. https://doi.org/10.1080/14659891.2016.1271039One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

M. Hsu, B. Martin, S. Ahmed, J. Torous, and J. Suzuki, Smartphone ownership, smartphone utilization, and interest in using mental health apps to address substance use disorders: literature review and cross-sectional survey study across two sites, JMIR Form. Res., 2022;6(7): e38684. https://doi.org/10.2196/38684One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

A. Corneli et al., Participant perceptions on the acceptability and feasibility of a telemedicine-based HIV PrEP and buprenorphine/naloxone program embedded within syringe services programs: a qualitative descriptive evaluation, Harm. Reduct. J., 2022;19(1): 132. https://doi.org/10.1186/s12954-022-00718-1One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

J. Germain, J. Harris, S. Mackay, and C. Maxwell, Why should we use online research methods? four doctoral health student perspectives, Qual. Health Res., 2018;28(10): 1650–1657. https://doi.org/10.1177/1049732317721698One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

A. E. Rudolph, A. R. Bazzi, and S. Fish, Ethical considerations and potential threats to validity for three methods commonly used to collect geographic information in studies among people who use drugs, Addict. Behav., 2016;61 84–90. https://doi.org/10.1016/j.addbeh.2016.05.014One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

E. A. Evans, E. Delorme, K. Cyr, and D. M. Goldstein, A qualitative study of big data and the opioid epidemic: recommendations for data governance, BMC Med. Ethics, 2022;21(1): 101. https://doi.org/10.1186/s12910-020-00544-9One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

Canada’s prostitution legislation, lawc.on.ca. https://www.lawc.on.ca/canadas-prostitution-legislation/ (accessed Jun. 22, 2022).

Prostitution in Brazil, Wikipedia. Apr. 27, 2022. Accessed: Jun. 22, 2022. [Online]. Available: https://en.wikipedia.org/w/index.php?title=Prostitution_in_Brazil&oldid=1084886960

Prostitution in Guatemala, Wikipedia. Jun. 18, 2022. Accessed: Jun. 21, 2022. [Online]. Available: https://en.wikipedia.org/w/index.php?title=Prostitution_in_Guatemala&oldid=1093696557

Prostitution in Mexico, Wikipedia. Jan. 14, 2022. Accessed: Jun. 21, 2022. [Online]. Available: https://en.wikipedia.org/w/index.php?title=Prostitution_in_Mexico&oldid=1065636617

Sex workers in Mexico allege abuse by clients, authorities, gangs, Global Press Journal, Apr. 07, 2013. https://globalpressjournal.com/americas/mexico/sex-workers-in-mexico-allege-abuse-by-clients-authorities-gangs/ (accessed Jun. 21, 2022).

Sex workers unionize in Guatemala, NACLA. https://nacla.org/news/2019/02/25/sex-workers-unionize-guatemala (accessed Jun. 28, 2022).

H. Capon, W. Hall, C. Fry, and A. Carter, Realising the technological promise of smartphones in addiction research and treatment: an ethical review, Int. J. Drug Policy, 2016;36 47–57. https://doi.org/10.1016/j.drugpo.2016.05.013One of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

B. Thomas et al., Development and open pilot trial of an HIV-prevention intervention integrating mobile-phone technology for male sex workers in Chennai, India, Arch. Sex. Behav., 2017;46(4): 1035–1046. https://doi.org/10.1007/s10508-015-0665-3One of the five studies identified assessing the utilization of technology in research among sex workers.

C. Brody et al., Mobile phone use among female entertainment workers in Cambodia: an observation study, mHealth, 2017;3. https://doi.org/10.21037/mhealth.2017.01.01One of the five studies identified assessing the utilization of technology in research among sex workers.

C. B. Fisher, HIV Prevention research ethics: an introduction to the special issue, J. Empir. Res. Hum. Res. Ethics JERHRE, 2014;9(1): 1–5. https://doi.org/10.1525/jer.2014.9.1.1One of the five studies identified assessing the utilization of technology in research among sex workers.

C. M. M. Peters, N. H. T. M. Dukers-Muijrers, Y. J. Evers, and C. J. P. A. Hoebe, Barriers and facilitators to utilisation of public sexual healthcare services for male sex workers who have sex with men (MSW-MSM) in The Netherlands: a qualitative study, BMC Public Health, 2022;22 1398. https://doi.org/10.1186/s12889-022-13799-1One of the five studies identified assessing the utilization of technology in research among sex workers.

P. G. Miller and A. L. Sønderlund, Using the internet to research hidden populations of illicit drug users: a review, Addict. Abingdon Engl., 2010;105(9): 1557–1567. https://doi.org/10.1111/j.1360-0443.2010.02992.xOne of the twenty-three studies identified assessing the utilization of technology in research among people who are dependent on drug substances.

W. X. You et al., Facilitators and barriers to incorporating digital technologies into HIV care among cisgender female sex workers living with HIV in South Africa, mHealth, 2020;6 15, https://doi.org/10.21037/mhealth.2019.12.07One of the five studies identified assessing the utilization of technology in research among sex workers.

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