Abstract
Background
Analyses with geographic data can be used to identify “hot spots” and “health service deserts”, examine associations between proximity to services and their use, and link contextual factors with individual-level data to better understand how environmental factors influence behaviors. Technological advancements in methods for collecting this information can improve the accuracy of contextually-relevant information; however, they have outpaced the development of ethical standards and guidance, particularly for research involving populations engaging in illicit/stigmatized behaviors. Thematic analysis identified ethical considerations for collecting geographic data using different methods and the extent to which these concerns could influence study compliance and data validity.
Methods
In-depth interviews with 15 Baltimore residents (6 recruited via flyers and 9 via peer-referral) reporting recent drug use explored comfort with and ethics of three methods for collecting geographic information: (1) surveys collecting self-reported addresses/cross-streets, (2) surveys using web-based maps to find/confirm locations, and (3) geographical momentary assessments (GMA), which collect spatiotemporally referenced behavioral data.
Results
Survey methods for collecting geographic data (i.e., addresses/cross-streets and web-based maps) were generally acceptable; however, participants raised confidentiality concerns regarding exact addresses for illicit/stigmatized behaviors. Concerns specific to GMA included burden of carrying/safeguarding phones and responding to survey prompts, confidentiality, discomfort with being tracked, and noncompliance with study procedures. Overall, many felt that confidentiality concerns could influence the accuracy of location information collected for sensitive behaviors and study compliance.
Conclusions
Concerns raised by participants could result in differential study participation and/or study compliance and questionable accuracy/validity of location data for sensitive behaviors.
Introduction
The socio-structural environment impacts risk behaviors for HIV transmission and use of preventative/treatment services.1–6 Aspects of the built and social environment (e.g., transportation, availability of health services, poverty, residential racial segregation, social capital) can shape disparities in HIV prevalence and incidence, retention in care, and other adverse consequences of substance use.7–15 Among people who use and inject drugs (PWUD; PWID), higher risk drug use behaviors and decreased health service use have been linked with laws/policies that influence the availability of HIV prevention services and products.1,5,9,16–27
Analyses that incorporate geographic data are increasingly used in HIV and substance use research to: (1) identify “hot spots” of diseases, risk behaviors, and other health outcomes and “health service deserts” (i.e., areas with decreased availability of/access to health services); (2) understand the influence of proximity to services (i.e., clinics28,29, drug treatment14,15,30, syringe exchange services26,31–37) and their use; and (3) link contextual factors with individual-level data.9 Given the importance of accurate geographic data for understanding environmental influences on individual-level risk behaviors and health service use, new methods are continually being developed to collect more valid and contextually-relevant data.
Methods for collecting geographic data include: (1) surveys that elicit self-reported addresses/cross-streets, (2) web-based surveys that use mapping application program interfaces (APIs) to allow participants to find/verify locations on interactive maps, and (3) geographical momentary assessments (GMA), which collect spatiotemporally referenced behavioral data via applications for GPS-enabled smartphones. Because people spend significant periods of time away from home and often engage in risk behaviors at other locations, a variety of approaches have evolved to more accurately assess the “risk environment”. For example, some researchers ask participants to provide addresses/cross-streets for a variety of different locations; however, this approach is prone to missing data, data entry errors, and responses must be geocoded. To address some of the limitations of this approach, some researchers now use web-based surveys with mapping APIs that allow participants to interact directly with a map to identify/confirm locations. One advantage of this method is that it automatically geocodes location information which results in fewer data entry errors; however, typically only one location is recorded for each behavior (e.g., where a behavior occurs most often). This approach is limited as it results in static assessments of “risk environments” and the accuracy of the data collected depends on participant recall and willingness to report locations of illegal/stigmatized behaviors. GMA permits the simultaneous collection of location data (via a GPS device) and behavioral data (through ecological momentary assessments, or repeated samples of participants’ behaviors/experiences in real-time). GMA participants carry GPS-enabled devices (e.g., smartphones) and behavioral data is collected through random and event-based surveys completed using a smartphone application. Participants must complete random surveys several times each day and “event-based” entries are initiated by participants when engaging in specific behaviors. The result is a time-stamped map of daily movements and behaviors. GMA is thought to collect more valid data which can be used in analyses that account for exposures to multiple risk environments and for varied amounts of time.38–40
However, technological innovations in data collection have outpaced the development of ethical standards and guidance41 and it is unknown whether the scientific benefits of GMA outweigh potential participant harms among populations engaged in illicit/stigmatized behaviors. Consequently, there is a need to empirically evaluate the balance between privacy/confidentiality concerns associated with each method and the accuracy/validity of the geographic information obtained through each. Several studies have evaluated the feasibility and acceptability of GMA among substance using populations (i.e., participation and phone-return rates),40,42 a few studies have noted concerns regarding privacy, confidentiality, data security, and the intrusiveness of GPS tracking among populations not engaging in illegal behaviors,43–45 and the few papers that have examined potential ethical concerns associated with data collection methods among populations engaged in illegal behaviors have been from the researchers’ perspective (i.e., physical harm and psychological stress associated with safeguarding phones, confidentiality/privacy breaches,39,46 unauthorized data access47). Thus, there is a need to empirically examine participants’ privacy/confidentiality concerns among populations engaged in illegal/stigmatizing behaviors and the influence of these concerns on data validity and this paper fills this gap. Findings from our paper can be used by future researchers to develop research protocols that mitigate participant concerns and that collect information in a way that maximizes both the quality of the geographic information and the validity of the behavioral data.
Methods
Between November 2014 and April 2015, we recruited a total of 15 Baltimore residents (n=6 via flyers posted in a research office currently conducting studies among persons who use drugs, most of whom are HIV positive and n=9 via peer-referral by those already enrolled in our study). Study eligibility included self-reported heroin, crack, or cocaine use (past 6 months). As the purpose of this study was to assess ethical considerations for the collection of geographic information in HIV and substance use research from the participants’ perspective, we aimed to recruit a sample which was diverse with respect to HIV and experience participating in research studies, as both of these aspects were hypothesized to influence participants’ perspectives. Following phone screening, eligible participants were scheduled for an in-person interview appointment within two weeks. Participants provided written informed consent and were compensated for their time ($40). All study procedures were reviewed and approved by the Institutional Review Board [Institution blinded].
A semi-structured interview guide was developed with input from a community advisory board comprised of three Baltimore community members with an intimate familiarity with the local drug use scene and the problems affecting people living with HIV. The interview guide focused on the following data collection methods: 1) eliciting addresses/cross-streets, 2) web-based maps, and 3) GMA (Figure 1). The framework that guided the conceptualization of this study and informed the selection of domains and development of a semi-structured interview guide containing open-ended questions was the International Ethical Guidelines for Biomedical Research Involving Human Subjects.48 After describing each method, open-ended questions explored issues relating to beneficence, confidentiality, and privacy for each data collection method, independently. Of note, all participants were asked for their perspective regardless of whether they had prior experience as a participant in that type of research. Participants lacking prior experience with a method were asked to describe how they would feel or how they thought most people in the community would feel. For each data collection method, participants were asked whether they thought any of the concerns mentioned would influence anticipated study compliance or the accuracy of responses provided. After the interviewer described a certificate of confidentiality, participants were asked how this additional protection could influence their concerns.
Figure 1.
Overview of three different location data collection methods, as presented in the interview guide
*The screenshot of the web-based mapping software displayed in Figure 1B was developed for use in K01DA033879 (PI: Rudolph).
Interviews were recorded, transcribed, and coded deductively using the domains from the interview guide and inductively to include other emergent themes.49 Two independent coders hand-coded the transcripts, reviewed each other’s code applications, resolved discrepancies, and then updated the codebook and re-coded as necessary. For each category, themes were analyzed in terms of the similarities and differences in participants’ perspectives for each of the different geographic data collection methods.50 Representative quotes were selected to illustrate key themes.
Results
Most participants were male (73%), Black (87%), HIV positive (67%), did not own a cell phone with a data plan (53%), and had previously been arrested for a drug-related offense (87%)(Table 1). Sixty percent previously participated in a study where location information was collected via cross-streets, 53% where web-based maps were used, and one person was previously in a GMA study. In the past 6 months, crack was the most commonly reported drug used (93%), followed by heroin (67%); two individuals reported recently entering drug treatment.
Table 1.
Sample characteristics (N=15)
| N | % | |
|---|---|---|
| Age (median, IQR) | 49 | 43–52 |
| Male | 11 | 73 |
| Race | ||
| Black/African American (Non-Hispanic) | 13 | 87 |
| White (Non-Hispanic) | 2 | 13 |
| Heroin use (past 30 days) | 7 | 47 |
| Crack use (past 30 days) | 11 | 73 |
| Cocaine use (past 30 days) | 5 | 33 |
| Methamphetamine use (past 30 days) | 0 | 0 |
| Injection drug use (past 30 days) | 4 | 27 |
| History of a drug related arrest | 13 | 87 |
| HIV positive | 10 | 67 |
| Currently have a mobile data plan | 7 | 47 |
| Experience in a study where location information was collected | 9 | 60 |
| Experience with address/cross-street method | 9 | 60 |
| Experience with web-based map | 8 | 53 |
| Experience with GMA | 1 | 7 |
Interviewer-administered surveys (cross-streets/addresses and web-based maps)
Confidentiality concerns associated with providing location information
Most participants reported “no concerns” with providing location information to an interviewer using surveys that collected cross-streets/addresses or that used web-based maps. This may be related to prior research experience or comfort with their lifestyles, as exemplified below:
“I’ve been doing these studies for years, so I have no problem letting the community know what I did.”(PID 103)
“Whatever it is that I do on a daily basis, or how I live my life, I’m okay with it. And I’m not worried about someone else finding out that I use drugs or I’m HIV positive or I’m gay. I just don’t care.”(PID 018)
Others expressed concern regarding providing information for locations where they engaged in sensitive behaviors (e.g., purchasing/consuming illicit drugs) but explained that providing cross-streets rather than exact addresses would make them more comfortable: “I wouldn’t want to give them my exact address, but the cross-streets…I would feel comfortable with that.”(PID 001) Many participants also remarked that they would feel even more comfortable providing this information in studies with a certificate of confidentiality. According to one participant, having a certificate of confidentiality would “put the [participant] at ease, and give [him/her] more willingness to share information and be truthful” (PID 008). Overall, there were very few major concerns regarding confidentiality with the first two methods, and comfort increased when methods were thoroughly described during the informed consent process and the researchers had obtained a certificate of confidentiality.
Accuracy of reported location information
Participants explained that the sensitivity of the behaviors measured could affect the accuracy of the location information provided. As described by PID 001:
“That would be kind of a sticky situation…If there’s an option of skipping [the question], they would probably skip it, but nine times out of ten, they’re not going to give the right answer…From personal experience, I’m not going to tell nobody where I buy no drugs at, or use drugs for fear of if I tell somebody where I buy [drugs] from…somebody going to send the police there, and that’s the code between drug sellers [and] drug users, you know, you don’t tell. You don’t say nothing.”
Several participants noted that compared with providing cross-streets, using a web-based map to find/verify locations could improve the accuracy of the information provided. As described by PID 028: “You’ve got the landmarks. It’s going to help…you could see a particular landmark right there, or a certain point you’re looking for, like the market, or a little corner store…it [would be] easy.”
GMA-related concerns
Although only one person had previously enrolled in a GMA study, all participants were provided information about GMA studies and participant expectations before they were queried about the things they would consider when deciding whether or not to participate in a GMA study. The potential harms/benefits of participating in GMA studies were distinct from those mentioned above for survey methods and included: (1) burden associated with carrying/safeguarding study phones and responding to survey prompts, (2) confidentiality concerns, (3) concerns with being tracked, and (4) lack of compliance with study procedures.
Concerns regarding carrying and safeguarding GMA study phones
Although many participants stated that they would feel comfortable carrying study phones, some indicated that carrying, safeguarding, and keeping track of phones would be a burden. PID 018, who previously participated in a GMA study, explained:
“If someone has a gun or something like that, a weapon, I would freely give it up...people are crazy. They will try to hurt you, even for this [phone]. They’ll snatch it out of your hand.”
Some without GMA experience worried about keeping the phone out of others’ reach, “always having to keep a watch on it, that it’s safe, you know, not setting it down, not putting it…where it’s reachable.” (PID 011) Others described concerns about bringing it with them when they were using drugs or around other PWUD: “If I’m with somebody getting high on some heroin [or] smoking crack [I’d worry] because they got the ‘thieveness’ in them where they want to steal something and sell it just to get some more [drugs].”(PID 026)
Burden of responding to survey prompts in GMA studies
One participant without GMA experience viewed responding to prompts to take surveys on the phone as “no more burden than a person texting me” (PID 013). Two others without GMA experience indicated that completing surveys on the phone could be less burdensome than going to a study office. However, most participants without GMA experience indicated that receiving survey prompts would be “annoying” or could make them feel uncomfortable. As described by PID 014, “I don’t think I’d be very comfortable having the phone with me and then having to answer questions like where I’m at.”
Concerns regarding the confidentiality of location and behavioral data collected on GMA phones
Participants explained that they trusted researchers to protect their information: “the police can’t make you give it to them, [so] there’s no risk in it for me”(PID 019); however, several without GMA experience did not trust technology because “technology has a tendency to fail, and when it fails, other people wind up with your information”(PID 011). Similar to the first two methods, some were concerned that the police might gain access to information about “where I go and when I’m using [drugs] and the places I go to because the things I do are illegal”(PID 022).
Others without GMA experience mentioned potential harm to them or their family as a result of being seen with the phone. As described by PID 022: “[Drug dealers] could see it as just a regular phone, but [being] on the phone while I’m trying to deal with them, you know, it just wouldn’t look right…it would trigger [that] something [is] going on with me and [could] bring me harm [or] bring harm to my family.” Some also speculated that being seen with study phones could also signal to family/friends that a participant was using drugs:
“Somebody who’s not aware that you’re using drugs…[that] could be devastating…[my family] knew of [my drug use] at one time, [and] I became less than a person…but, I won all that back. For them to find out that I was even using drugs once or twice or periodically, they’d start treating me in a bad way [and] I would hate that. It would be most hurtful.”(PID 011)
However, others without GMA experience felt that phones would go largely unnoticed due to the ubiquitous nature of mobile technology: “Everybody has a phone these days...I know people with two and three phones on them…so for you to pull out a phone wouldn’t be something strange.”(PID 008)
Concerns associated with being tracked
The most striking difference between GMA and the survey methods was the tracking aspect. Most expressed concern about being monitored “twenty-four-seven,” which some likened to being tracked while on parole: “Just the thought of being tracked for a long time…When you’re using drugs, you’re doing wrong for a long time, you don’t want nobody to know every move you make, somebody watching your every move.”(PID 001) Others feared being seen as a “snitch” by friends/acquaintances who were “dirty,” and one participant simply stated, “I think this is a total invasion of privacy.”(PID 011) Although PID 023 was not worried about himself being tracked, he worried those around him might be concerned: “I would tell them that I’m being tracked…[it’s] up to them if they still want to be around me…if they don’t want to be around me, they know to leave…Or I’ve got to get away from them…But I would think that they will be concerned about that.” Still, a few participants were not at all concerned about being tracked: “I ain’t got no problem with it tracking me because I know I don’t do nothing wrong.”(PID 028)
In contrast, two participants without prior GMA experience expressed an interest in participating in future GMA studies. According to PID 021, “I could provide some precise information…you can hit me anytime and say, ‘Hey, what’s going on?...instead of comin’ into someplace one time…this is real-time.” PID 023, who had recently enrolled in a drug treatment program, explained: “I would be very interested…I’d be more aware of what I’m doing and knowing that I have something--I guess you’d call it monitoring me…Maybe that’s what I need…I feel that it might help me.”
Lack of compliance with GMA study procedures
Many without GMA experience thought it would be difficult to respond to self-initiated or random prompts to complete surveys while high/getting high, as explained by PID 001: “If they in the middle of using drugs, they not going to stop doing what they doing. I know I wouldn’t…that drug is going to come first.” PID 008 elaborated:
“A lot of these drugs make you very paranoid. And even if that [phone is] on vibrate, you already know who’s calling, and you already know what they want you to do, answer some questions. If I’m getting high, I don’t have the time for that…Sometimes it takes you hours to get yourself back together before you can even handle something, and I think people in the shooting gallery, somewhere like that, if the phone rang or vibrated, I don’t think they would stop and answer it. Because you’re more occupied in getting high.”
If in the middle of preparing/using drugs, several without GMA experience indicated that they would wait for a more convenient time to take the survey: “I would probably read it and not answer right then or just wait until after I copped, and then look at the phone, to be honest.” Others said they would turn the phone off, disable it, or leave it at home to prevent sensitive information from being collected:
“[If] I have the phone on me and I’m indulging, I would probably turn the phone off or take the battery out...sometimes you get a little paranoid when you think ‘somebody’s going to get me.’ I just wouldn’t be comfortable. I would definitely dismantle it before I got high.”(PID 014)
“It’s just as easy to leave it at home…if the individual has to be honest about what he’s going to do, whether he’s going to continue to carry it on a daily basis or whatever…if I didn’t want nobody to know I was buying drugs today, then I just wouldn’t take the [phone] with me.”(PID 008)
Discussion
Using the International Ethical Guidelines for Biomedical Research Involving Human Subjects as a guide, in-depth interviews with PWUD identified participant concerns related to (1) comfort with providing location information, (2) privacy (i.e., concerns specific to being tracked or providing exact addresses), (3) confidentiality (i.e., concerns about who might get access to the information provided during the interview), and (4) anticipated harms related to study participation (i.e. repercussions resulting from friends, family members, dealers, or police learning of their study participation). The specific concerns varied according to the particular method used to collect geographic information on substance use. With interviewer-administered survey methods (i.e., cross-streets/addresses and web-based maps), participants’ concerns were primarily related to confidentiality of exact locations for sensitive behaviors. Providing cross-streets rather than exact addresses was an acceptable alternative for most; however, some felt that participants might provide misleading locations to protect the confidentiality of specific locations rather than skipping questions. For this reason, non-sensitive locations are more likely to be collected without bias. To avoid misleading conclusions about the “risk environment” derived from data collected using these methods, future studies engaging the target population are needed to identify more acceptable ways to accurately ascertain location information for sensitive behaviors.
Concerns specific to GMA included the burden associated with carrying/safeguarding study phones and completing surveys, confidentiality concerns, and discomfort with being tracked. Most prior research with substance using populations has focused on GMA acceptability and feasibility and none has focused on ethical considerations for collecting this information among PWUD from the participants’ perspective. In the few existing studies among persons not using illicit drugs (i.e., HIV positive mothers43 and in studies examining the role of human movement in dengue transmission51), similar ethical concerns were noted; however, these studies did not assess concerns related to the locations of illicit behaviors or evaluate the potential impact of participants’ concerns on anticipated compliance with study procedures or the accuracy of the location information provided. Furthermore, by including individuals who had not previously participated in a GMA study, we were able to ascertain perspectives from those who may have refused to participate and whose perspectives would not have been included in previous research. Concerns regarding GMA resulted in many participants feeling that they (or others) would be unwilling to participate or comply with study procedures (i.e., carry the device at all times, respond to survey prompts, initiate event-specific entries). Others indicated that they would take measures to prevent sensitive information from being collected such as intentionally disabling devices or leaving it at home. Differential participation and study compliance could result in both selection bias and information bias. More research is needed to better understand how those who would be likely to participate in a GMA study differ from those who would not (and similarly how those who would and would not comply with study procedures may differ), as the generalizability of study findings may also be limited.
Finally, a related but distinct concern raised by many participants pertained to difficulty complying with all GMA study procedures while high/getting high. Few participants indicated they would be willing to complete random surveys while high/getting high, and even fewer would be willing to initiate event-based entries. As a result, event-based entries may be less reliable than random entries. Importantly, participants are required to complete random surveys within minutes of the initial prompt; those not completed within this time period are recorded as missing data. Given the lack of willingness to complete surveys while high/getting high, it is likely that many would not be able to complete random surveys within the required time frame. In fact, one participant indicated that it could take hours after getting high before she would be able to complete a survey. While both random and event-based surveys are likely to be biased by study non-compliance, self-initiated data may be subject to more severe biases than those generated by prompts that are not specifically tied to risk behaviors or sensitive locations.
Of note, most of our sample had extensive prior experience participating in research, including studies collecting location information. Their opinions and concerns may thus differ from those with less research experience. Given this limitation and the relatively small sample size, it will be important to explore whether similar issues are raised in other diverse samples with more participants. Given the emerging HIV epidemic among rural opioid users in the United States, it will be important to examine participant perspectives in these settings where substance use (e.g., illicit street drugs vs. prescription drugs), policing practices, and availability of harm reduction services differ. Similarly, although synthetic drug use was not reported by those enrolled in our study, it would be important to conduct similar assessments in populations where synthetic drug use is more common to see whether the context of drug use and the types of drugs used influence participants’ concerns. Research is also needed to better understand perspectives on GMA among different HIV risk groups, including younger populations who may have more experience using mobile technology or among men who have sex with men.
Research on the “risk environment” and the geography of risk behaviors has contributed immensely to HIV prevention but requires accurate context-specific geographic data. Recent technological developments for collecting this data have the potential to improve the accuracy of the information collected and can permit more advanced analyses that account for spatio-temporal variations in risk/protective factors. However, methodological advancements have outpaced the development of ethical standards and guidance for conducting research involving populations engaged in illicit/stigmatized behaviors. Engaging the target population in additional formative research is necessary to devise methods to collect this information in a way that is sensitive to the concerns of those involved. Together with researchers, members of these populations can develop strategies to enhance participation, reduce participant discomfort, and improve compliance with study procedures.
Highlights.
Qualitative study of ethical concerns for collecting location data via 3 methods
Confidentiality of illicit behavior locations may influence location data accuracy
Geographical momentary assessments (GMA) collect real-time behavior/location data
GMA concerns included study burden, confidentiality, and discomfort with tracking
GMA concerns could lead to nonparticipation and noncompliance with study procedures
Acknowledgments
This research was funded by the Fordham University HIV and Drug Abuse Prevention Research Ethics Training Institute and National Institutes of Drug Abuse Grants R25DA031608 (Director, Celia B. Fisher) and K01DA033879 (PI: Rudolph). Angela Robertson Bazzi’s efforts were supported by the Boston University Peter Paul Career Development Professorship.
Footnotes
Contributors: AER developed the research question and collected the data; AER and SSF read through transcripts and coded for emergent themes; AER, ARB, and SSF contributed to the analysis, interpretation of study findings and preparation of the final manuscript. Finally, all authors have approved the final article.
Role of Funding Sources: Nothing declared
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Contributor Information
Abby E Rudolph, Email: arudolph@bu.edu.
Angela Robertson Bazzi, Email: abazzi@bu.edu.
Sue Fish, Email: sfish@bu.edu.
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