A rural/urban comparison of privacy and confidentiality concerns associated with providing sensitive location information in epidemiologic research involving persons who use drugs

Addressing health challenges in rural Japan: a thematic analysis of social isolation and community solutions

BACKGROUND

The establishment of sustainable connections between medical professionals and rural citizens is pivotal for effective community healthcare. Our study focuses on understanding and resolving health problems arising from social isolation, a critical barrier to achieving this goal, especially in the context of the coronavirus disease 2019(COVID-19) pandemic's impact on community dynamics respecting social cognitive theory. This study investigates the link between social isolation and rural community healthcare. We aim to develop methods that improve interaction and collaboration between healthcare providers and rural communities, ultimately enhancing the region's healthcare system.

METHODS

Employing thematic analysis based on social cognitive theory, we conducted semi-structured interviews with 57 community workers in rural communities. This qualitative approach enabled us to delve into the nuances of social isolation and its multifaceted impact on health and community well-being.

RESULTS

Our analysis revealed four key themes: the impact of aging on social dynamics, shifts in community relationships, unique aspects of rural community networking, and the role of these networks in driving community health. Notably, we identified specific challenges, such as the erosion of intergenerational interactions and the hesitancy to seek support, exacerbated by social isolation and negatively impacting community health.

CONCLUSIONS

Our study reveals the complex factors affecting rural community sustainability, particularly social isolation influenced by privacy concerns and changing social dynamics. Emphasizing the importance of social cognitive theory, it highlights the need for adaptable healthcare systems and strong community-medical collaborations. Future research should focus on developing culturally sensitive, practical strategies for enhancing these collaborations, especially involving physicians, to address rural communities' unique challenges.

Enhancing drug checking services for supply monitoring: perspectives on implementation in syringe service programs in the USA

BACKGROUND

Shifts in the US drug supply, including the proliferation of synthetic opioids and emergence of xylazine, have contributed to the worsening toll of the overdose epidemic. Drug checking services offer a critical intervention to promote agency among people who use drugs (PWUD) to reduce overdose risk. Current drug checking methods can be enhanced to contribute to supply-level monitoring in the USA, overcoming the selection bias associated with existing supply monitoring efforts and informing public health interventions.

METHODS

As a group of analytical chemists, public health researchers, evaluators, and harm reductionists, we used a semi-structured guide to facilitate discussion of four different approaches for syringe service programs (SSPs) to offer drug checking services for supply-level monitoring. Using thematic analysis, we identified four key principles that SSPs should consider when implementing drug checking programs.

RESULTS

A number of analytical methods exist for drug checking to contribute to supply-level monitoring. While there is likely not a one-size-fits-all approach, SSPs should prioritize methods that can (1) provide immediate utility to PWUD, (2) integrate seamlessly into existing workflows, (3) balance individual- and population-level data needs, and (4) attend to legal concerns for implementation and dissemination.

CONCLUSIONS

Enhancing drug checking methods for supply-level monitoring has the potential to detect emerging threats in the drug supply and reduce the toll of the worsening overdose epidemic.

Renewed calls for abortion-related research in the post-Roe era

Nearly 50 years after Roe versus Wade, the United States Supreme Court's decision in Dobbs versus Jackson Women's Health Organization unraveled the constitutional right to abortion, allowing individual states to severely restrict or ban the procedure. In response, leading medical, public health, and community organizations have renewed calls for research to elucidate and address the burgeoning social and medical consequences of new abortion restrictions. Abortion research not only includes studies that establish the safety, quality, and efficacy of evidence-based abortion care protocols, but also encompasses studies on the availability of abortion care, the consequences of being denied an abortion, and the legal and social burdens surrounding abortion. The urgency of these calls for new evidence underscores the importance of ensuring that research in this area is conducted in an ethical and respectful manner, cognizant of the social, political, and structural conditions that shape reproductive health inequities and impact each stage of research-from protocol design to dissemination of findings. Research ethics relates to the moral principles undergirding the design and execution of research projects, and concerns itself with the technicalities of ethical questions related to the research process, such as informed consent, power relations, and confidentiality. Critical insights and reflections from reproductive justice, community engagement, and applied ethics frameworks have bolstered existing research ethics scholarship and discourse by underscoring the importance of meaningful engagement with community stakeholders-bringing attention to overlapping structures of oppression, including racism, sexism, and ways that these structures are perpetuated in the research process.

Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs

Human Immunodeficiency Virus (HIV) interventions among people who use drugs (PWUD) often have spillover, also known as interference or dissemination, which occurs when one participant's exposure affects another participant's outcome. PWUD are often members of networks defined by social, sexual, and drug-use partnerships and their receipt of interventions can affect other members in their network. For example, HIV interventions with possible spillover include educational training about HIV risk reduction, pre-exposure prophylaxis, or treatment as prevention. In turn, intervention effects frequently depend on the network structure, and intervention coverage levels and spillover can occur even if not measured in a study, possibly resulting in an underestimation of intervention effects. Recent methodological approaches were developed to assess spillover in the context of network-based studies. This tutorial provides an overview of different study designs for network-based studies and related methodological approaches for assessing spillover in each design. We also provide an overview of other important methodological issues in network studies, including causal influence in networks and missing data. Finally, we highlight applications of different designs and methods from studies of PWUD and conclude with an illustrative example from the Transmission Reduction Intervention Project (TRIP) in Athens, Greece.

Privacy and Confidentiality Concerns Related to the Use of mHealth Apps for HIV Prevention Efforts Among Malaysian Men Who Have Sex With Men: Cross-sectional Survey Study

BACKGROUND

The use of mobile health (mHealth), including smartphone apps, can improve the HIV prevention cascade for key populations such as men who have sex with men (MSM). In Malaysia, where stigma and discrimination toward MSM are high, the mHealth platform has the potential to open new frontiers for HIV prevention efforts. However, little guidance is available to inform researchers about privacy and confidentiality concerns unique to the development and implementation of app-based HIV prevention programs.

OBJECTIVE

Given the lack of empirical data in this area, we aim to understand the privacy and confidentiality concerns associated with participation in a hypothetical app-based research study for HIV prevention efforts.

METHODS

A cross-sectional, web-based survey was conducted between June and July 2020 among 355 Malaysian MSM. The survey included demographic and sexual health questions and a series of short videos describing a hypothetical app-based HIV prevention program, followed by questions related to privacy and confidentiality concerns in each step of the app-based program (ie, recruitment, clinical interaction, risk assessment, and weekly reminder). Multivariable logistic regression models were used to identify the correlates of willingness to use such an app-based program.

RESULTS

Most of the participants (266/355, 74.9%) indicated their willingness to participate in a hypothetical mHealth app-based HIV prevention program. Participants expressed concerns about privacy, confidentiality, data security, and risks and benefits of participating in all stages of the app-based HIV research process. Multivariate analyses indicated that participants who had a higher degree of perceived participation benefits (adjusted odds ratio [aOR] 1.873; 95% CI 1.274-2.755; P=.001) were more willing to participate. In contrast, participants who had increased concerns about app-based clinical interaction and e-prescription (aOR 0.610; 95% CI 0.445-0.838; P=.002) and those who had a higher degree of perceived risks of participating (aOR 0.731; 95% CI 0.594-0.899; P=.003) were less willing to participate.

CONCLUSIONS

Overall, our results indicate that mHealth app-based HIV prevention programs are acceptable for future research on Malaysian MSM. The findings further highlighted the role of privacy and confidentiality, as well as the associated risks and benefits associated with participation in such a program. Given the ever-evolving nature of such technological platforms and the complex ethical-legal landscape, such platforms must be safe and secure to ensure widespread public trust and uptake.

Privacy and Confidentiality Considerations for Collecting HIV Risk Network Data among Men who Have Sex with Men and Implications for Constructing Valid Risk Networks

Studies aiming to construct risk networks have historically collected network members' names, demographic characteristics and relational data (i.e., type, strength, duration, frequency of interaction, and HIV-related risk behaviors between the pair). Due to difficulties in constructing risk networks stemming from partner anonymity and the use of nicknames, some studies also collect network members' screen names, phone numbers, physical attributes, and scars/tattoos to assist with entity resolution. In-depth interviews with 20 men who have sex with men and transgender women in Kentucky assessed privacy/confidentiality concerns as well as accuracy/recall issues associated with providing these details. Most preferred providing alters' nicknames/first names only or a first name with the first letter of the last name. Many perceived screen names, phone numbers, and scars/tattoos to be too personal/identifying. Willingness to provide more detailed information varied by relationship type/strength, which could influence the validity of the resulting network.

Lessons learned recruiting a diverse sample of rural study participants during the COVID-19 pandemic

Residents of rural areas have been a hard-to-reach population for researchers. Geographical isolation and lower population density in rural areas can make it particularly challenging to identify eligible individuals and recruit them for research studies. If the study is about a stigmatizing topic, such as opioid overdose, recruitment can be even more difficult due to confidentiality concerns and distrust of outside researchers. This paper shares lessons learned, both successes and failures, for recruiting a diverse sample of rural participants for a multi-state research study about naloxone, an opioid overdose reversal agent. In addition, because our recruitment spanned the period before and after the COVID-19 pandemic in the U.S., we share lessons learned regarding the transition to all remote recruitment and data collection. We utilized various recruitment strategies including rural community pharmacy referrals, community outreach, participant referrals, mass emails, and social media with varying degrees of success. Among these modalities, pharmacist referrals and community outreach produced the highest number of participants. The trust and rapport that pharmacists have with rural community members eased their concerns about working with unknown researchers from outside their communities and facilitated study team members’ ability to contact those individuals. Even with the limited in-person options during the pandemic, we reached our recruitment targets by employing multiple recruitment strategies with digital flyers and emails. We also report on the importance of establishing trust and maintaining honest communication with potential participants as well as how to account for regional characteristics to identify the most effective recruitment methods for a particular rural area. Our suggested strategies and recommendations may benefit researchers who plan to recruit underrepresented minority groups in rural communities and other historically hard-to-reach populations for future studies.

Perceived Confidentiality Risks of Mobile Technology-Based Ecologic Momentary Assessment to Assess High-Risk Behaviors Among Rural Men Who Have Sex with Men

Although men who have sex with men (MSM) within rural communities are disproportionately impacted by HIV, limited HIV research and programmatic resources are directed to these communities within the U.S. There is a need for improved behavioral data collection methods to obtain more detailed information on the relationship between rural environments, sexual behavior, and substance use. Utilization of mobile health (mHealth) technologies, such as ecologic momentary assessment (EMA), has been advocated for; however, limited research has evaluated its utility among rural MSM. Forty MSM residing in rural Oklahoma were recruited to complete in-depth interviews related to participating online/mobile-based HIV prevention research. Men described a willingness to participate in HIV and substance use studies that use EMA methodologies for data collection; however, they raised various research-related concerns. In particular, participants indicated potential privacy and confidentiality concerns related to the use of the mobile technology-based EMA in public and the storage of data by researchers. Given the varying degree of sexual orientation and substance use disclosure by participants, rural MSM were largely concerned with being inadvertently "outed" within their communities. Men described the various strategies they could employ to protect private information and methods to minimize research risk. Study findings suggest that EMA is an acceptable research methodology for use among rural MSM in the context of HIV and sexual health information, when privacy and confidentiality concerns are adequately addressed. Input from community members and stakeholders is necessary to identify potential areas of concerns for participants prior to data collection.

Novel Recruitment Methods for Research Among Young Adults in Rural Areas Who Use Opioids: Cookouts, Coupons, and Community-Based Staff

OBJECTIVES

Rural communities in the United States are increasingly becoming epicenters of substance use and related harms. However, best practices for recruiting rural people who use drugs (PWUD) for epidemiologic research are unknown, because such strategies were developed in cities. This study explores the feasibility of web- and community-based strategies to recruit rural, young adult PWUD into epidemiologic research.

MATERIALS AND METHODS

We recruited PWUD from rural Kentucky to participate in a web-based survey about opioid use using web-based peer referral and community-based strategies, including cookouts, flyers, street outreach, and invitations to PWUD enrolled in a concurrent substance use study. Staff members labeled recruitment materials with unique codes to enable tracking. We assessed eligibility and fraud through online eligibility screening and a fraud detection algorithm, respectively. Eligibility criteria included being aged 18-35, recently using opioids to get high, and residing in the study area.

RESULTS

Recruitment yielded 410 complete screening entries, of which 234 were eligible and 151 provided complete, nonfraudulent surveys (ie, surveys that passed a fraud-detection algorithm designed to identify duplicate, nonlocal, and/or bot-generated entries). Cookouts and subsequent web-based peer referrals accounted for the highest proportion of screening entries (37.1%, n = 152), but only 29.6% (n = 45) of entries from cookouts and subsequent web-based peer referrals resulted in eligible, nonfraudulent surveys. Recruitment and subsequent web-based peer referral from the concurrent study yielded the second most screening entries (27.8%, n = 114), 77.2% (n = 88) of which resulted in valid surveys. Other recruitment strategies combined to yield 35.1% (n = 144) of screening entries and 11.9% (n = 18) of valid surveys.

CONCLUSIONS

Web-based methods need to be complemented by context-tailored, street-outreach activities to recruit rural PWUD.

Social Determinants of Potential eHealth Engagement Among People Living with HIV Receiving Ryan White Case Management: Health Equity Implications from Project TECH

OBJECTIVES

Evaluate the relationships between social characteristics of Floridian persons living with HIV (PLWH) and both use of digital technologies and willingness to use eHealth for HIV-related information.

METHODS

Ryan White case managers (N = 155) from 55 agencies in 47 Florida counties administered a survey to PLWH (N = 1268) from June 2016-April 2017. Multilevel logistic regression models were used to identify correlates of technology use and willingness.

RESULTS

Use of mobile phones with text messaging was high (89%). Older (vs. younger) adults and non-Hispanic blacks (vs. whites) were less likely to use most technologies. These groups, along with Hispanics (vs. whites) were less likely to express willingness to use technologies for HIV-related information in models adjusting for use.

CONCLUSIONS

Among PLWH in Florida, eHealth-related inequities exist. Willingness to engage in HIV-related eHealth is affected by social determinants, even when considering technology access. Although eHealth may reduce some healthcare inequities, it may exacerbate others.

Privacy, Confidentiality, and Safety Considerations for Conducting Geographic Momentary Assessment Studies Among Persons Who Use Drugs and Men Who Have Sex with Men

Geographic momentary assessments (GMA) collect real-time behavioral data in one's natural environment using a smartphone and could potentially increase the ecological validity of behavioral data. Several studies have evaluated the feasibility and acceptability of GMA among persons who use drugs (PWUD) and men who have sex with men (MSM), but fewer have discussed privacy, confidentiality, and safety concerns, particularly when illegal or stigmatized behavioral data were collected. This study explores perceptions regarding privacy, confidentiality, and safety of GMA research among PWUD and MSM recruited in three different settings (rural Appalachia, a mid-sized city in the South, and a mid-Atlantic city). Between November 2014 and April 2017, we recruited 35 PWUD from rural Appalachian Kentucky (N = 20) and Baltimore, Maryland (N = 15) and 20 MSM from Lexington, Kentucky to complete semi-structured qualitative interviews. Through thematic analyses, we identified and compared privacy, confidentiality, and safety concerns by demographic characteristics, risk behaviors, and setting. Privacy, confidentiality, and safety concerns varied by setting, age, smartphone ownership, use of illegal drugs, and history of drug-related arrests. Among those who used drugs, participants reported concerns with being tracked and burden associated with carrying and safeguarding study phones and responding to survey prompts. Privacy and confidentiality concerns were noted in each setting, but tracking concerns were greatest among Baltimore participants and led many to feel that they (or others) would be unwilling to participate or comply with study procedures. While locations considered to be sensitive varied by setting, participants in all settings said they would take measures to prevent sensitive information from being collected (i.e., intentionally disable devices, leave phones at home, alter response times). Privacy, confidentiality, and safety concerns may limit the accuracy of risk location information, study compliance, and participation. As concerns were often greatest among those engaging in illegal behaviors and with the highest risk behaviors, selection bias and non-response bias could negatively influence the representativeness and validity of study findings.

Using Web-Based Pin-Drop Maps to Capture Activity Spaces Among Young Adults Who Use Drugs in Rural Areas: Cross-Sectional Survey

Background

Epicenters of harmful drug use are expanding to US rural areas, with rural young adults bearing a disproportionate burden. A large body of work suggests that place characteristics (eg, spatial access to health services) shape vulnerability to drug-related harms among urban residents. Research on the role of place characteristics in shaping these harms among rural residents is nascent, as are methods of gathering place-based data.

Objective

We (1) analyzed whether young rural adults who used drugs answered self-administered Web-based mapping items about locations where they engaged in risk behaviors and (2) determined the precision of mapped locations.

Methods

Eligible individuals had to report recently using opioids to get high; be aged between 18 and 35 years; and live in the 5-county rural Appalachian Kentucky study area. We used targeted outreach and peer-referral methods to recruit participants. The survey asked participants to drop a pin in interactive maps to mark where they completed the survey, and where they had slept most; used drugs most; and had sex most in the past 6 months. Precision was assessed by (1) determining whether mapped locations were within 100 m of a structure and (2) calculating the Euclidean distance between the pin-drop home location and the street address where participants reported sleeping most often. Measures of central tendency and dispersion were calculated for all variables; distributions of missingness for mapping items and for the Euclidean distance variable were explored across participant characteristics.

Results

Of the 151 participants, 88.7% (134/151) completed all mapping items, and ≥92.1% (>139/151) dropped a pin at each of the 4 locations queried. Missingness did not vary across most participant characteristics, except that lower percentages of full-time workers and peer-recruited participants mapped some locations. Two-thirds of the pin-drop sex and drug use locations were less than 100 m from a structure, as were 92.1% (139/151) of pin-drop home locations. The median distance between the pin-drop and street-address home locations was 2.0 miles (25th percentile=0.8 miles; 75th percentile=5.5 miles); distances were shorter for high-school graduates, staff-recruited participants, and participants reporting no technical difficulties completing the survey.

Conclusions

Missingness for mapping items was low and unlikely to introduce bias, given that it varied across few participant characteristics. Precision results were mixed. In a rural study area of 1378 square miles, most pin-drop home addresses were near a structure; it is unsurprising that fewer drug and sex locations were near structures because most participants reported engaging in these activities outside at times. The error in pin-drop home locations, however, might be too large for some purposes. We offer several recommendations to strengthen future research, including gathering metadata on the extent to which participants zoom in on each map and recruiting participants via trusted staff.

Feasibility and Validity of Geographically Explicit Ecological Momentary Assessment With Recall-Aided Space-Time Budgets

We employ data from the Adolescent Health and Development in Context Study-a representative sample of urban youth ages 11-17 in and around the Columbus, OH area-to investigate the feasibility and validity of smartphone-based geographically explicit ecological momentary assessment (GEMA). Age, race, household income, familiarity with smartphones, and self-control were associated with missing global positioning systems (GPS) coverage, whereas school day was associated with discordance between percent of time at home based on GPS-only versus recall-aided space-time budget data. Fatigue from protocol compliance increases missing GPS across the week, which results in more discordance. Although some systematic differences were observed, these findings offer evidence that smartphone-based GEMA is a viable method for the collection of activity space data on urban youth.

Network-Based Research on Rural Opioid Use: an Overview of Methods and Lessons Learned

PURPOSE OF REVIEW

The purpose of this paper is to provide a thorough overview of methods used for recruitment, network data collection, and network data management in a network-based study of rural people who use drugs (PWUD) and to offer methodological recommendations for future research on rural drug use.

RECENT FINDINGS

The Social Networks among Appalachian People (SNAP) study recruited a cohort of 503 rural PWUD via respondent-driven sampling (RDS) and has retained more than 80% of eligible participants over 7-9 years. SNAP has yielded important methodological insights, including that (1) RDS referral was non-random and disproportionately involved kin and (2) interviewer-administered questionnaires were successful in eliciting accurate name and age information about network members. The SNAP experience suggests that RDS was a successful recruitment strategy for rural PWUD and questionnaires administered by community-based interviewers in the context of a Certificate of Confidentiality could elicit detailed data on PWUD risk networks.

Network Research Experiences in New York and Eastern Europe: Lessons for the Southern US in Understanding HIV Transmission Dynamics

PURPOSE

This paper presents an overview of different kinds of risk and social network methods and the kinds of research questions each can address.

RECENT FINDINGS

It also reviews what network research has discovered about how network characteristics are associated with HIV and other infections, risk behaviors, preventive behaviors, and care, and discusses some ways in which network-based public health interventions have been conducted. Based on this, risk and social network research and interventions seem both feasible and valuable for addressing the many public health and social problems raised by the widespread use of opioids in the US South.

Web-Based Survey Application to Collect Contextually Relevant Geographic Data With Exposure Times: Application Development and Feasibility Testing

Background

Although studies that characterize the risk environment by linking contextual factors with individual-level data have advanced infectious disease and substance use research, there are opportunities to refine how we define relevant neighborhood exposures; this can in turn reduce the potential for exposure misclassification. For example, for those who do not inject at home, injection risk behaviors may be more influenced by the environment where they inject than where they live. Similarly, among those who spend more time away from home, a measure that accounts for different neighborhood exposures by weighting each unique location proportional to the percentage of time spent there may be more correlated with health behaviors than one’s residential environment.

Objective

This study aimed to develop a Web-based application that interacts with Google Maps application program interfaces (APIs) to collect contextually relevant locations and the amount of time spent in each. Our analysis examined the extent of overlap across different location types and compared different approaches for classifying neighborhood exposure.

Methods

Between May 2014 and March 2017, 547 participants enrolled in a Baltimore HIV care and prevention study completed an interviewer-administered Web-based survey that collected information about where participants were recruited, worked, lived, socialized, injected drugs, and spent most of their time. For each location, participants gave an address or intersection which they confirmed using Google Map and Street views. Geographic coordinates (and hours spent in each location) were joined to neighborhood indicators by Community Statistical Area (CSA). We computed a weighted exposure based on the proportion of time spent in each unique location. We compared neighborhood exposures based on each of the different location types with one another and the weighted exposure using analysis of variance with Bonferroni corrections to account for multiple comparisons.

Results

Participants reported spending the most time at home, followed by the location where they injected drugs. Injection locations overlapped most frequently with locations where people reported socializing and living or sleeping. The least time was spent in the locations where participants reported earning money and being recruited for the study; these locations were also the least likely to overlap with other location types. We observed statistically significant differences in neighborhood exposures according to the approach used. Overall, people reported earning money in higher-income neighborhoods and being recruited for the study and injecting in neighborhoods with more violent crime, abandoned houses, and poverty.

Conclusions

This analysis revealed statistically significant differences in neighborhood exposures when defined by different locations or weighted based on exposure time. Future analyses are needed to determine which exposure measures are most strongly associated with health and risk behaviors and to explore whether associations between individual-level behaviors and neighborhood exposures are modified by exposure times.