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This paper presents insights on conducting urban research amidst the COVID-19 pandemic, emphasizing the adoption of digital ethnography as an innovative and flexible approach. Drawing from an expanding body of literature on fieldwork among 'hard-to-reach' populations during crises such as the COVID-19 pandemic, we share our experiences from a study on the socio-economic impacts of mandatory lockdowns on poor urban residents in Harare, Zimbabwe. Our research highlighted several methodological benefits of digital ethnography, including its non-intrusive and non-intimidating nature, cost and time efficiency, ability to increase participant diversity, assurance of respondent safety, research flexibility, and the generation of impactful data. Unlike traditional immersive ethnography, digital ethnography proved adept at navigating the complexities of the 'global', 'local', and 'trans-local' dimensions of contemporary urban research subjects. However, this approach also presents several ethical challenges. These challenges include obtaining informed consent, ensuring confidentiality and anonymity, participants' potential misunderstanding of the research context, the risk of exacerbating stress during crises, and respecting privacy in digital spaces. Urban researchers must carefully consider these ethical issues before undertaking their studies. In conclusion, virtual environments have become integral to modern life and represent essential avenues for urban researchers, particularly during periods of limited physical interaction and when studying populations that are difficult to reach in person but more accessible online. Further, the adoption of digital ethnography, extends beyond the necessity imposed by the COVID-19 pandemic. It reflects an ongoing evolution in ethnographic practices, adapting to the realities of a digitally connected world. We suggest that urban researchers should think of digital ethnographic ethics from the point of view of reciprocal and mutual collaboration with participants. With this thinking, urban research subjects become co-participants and co-researchers rather than subjects of exploitation in the expanding and complex digital space. [ABSTRACT FROM AUTHOR]

Purpose: Opioid use disorder among women of childbearing age has reached epidemic proportions. In rural regions of the United States, recruiting perinatal women who use nonmedical opioids to participate in research is wrought with challenges, including barriers such as community stigma, lack of transportation, and time constraints. The current study describes our process and challenges of recruiting pregnant and postpartum women in rural Indiana consisting of women who misuse opioids and those who do not. Description: We employed multiple strategies to recruit participants. Methods included (1) sampling from healthcare facilities based on referrals from front-desk staff and frontline healthcare workers; (2) dissemination of flyers and brochures within healthcare facilities and the community, supported with onsite research assistant presence; (3) digital methods coupled with snowball sampling; and (4) local community talks that provided information about the study. Assessment: Our multiple recruitment efforts revealed that building relationships with community stakeholders was key in recruiting women who use nonmedical opioids, but that digital methods were more effective in recruiting a larger sample of pregnant and postpartum women in a short amount of time. Conclusion: We conclude by making several recommendations to enhance academic-community partnerships in order to bolster sample sizes for prolonged research studies. Furthermore, we highlight the need to destigmatize addiction in order to better serve hard-to-reach populations through research and practice. [ABSTRACT FROM AUTHOR]

Introduction: Administering patient-reported outcome measures (PROMs) by text message may improve response rate in hard-to-reach populations. This study explored cultural acceptability of PROMs and compared measurement equivalence of the EQ-5D-3L administered on paper and by text message in a rural South African setting.Materials and Methods: Participants with upper or lower limb orthopaedic pathology were recruited. The EQ-5D was administered first on paper and then by text message after 24 h and 7 days. Differences in mean scores for paper and text message versions of the EQ-5D were evaluated. Test-retest reliability between text message versions was evaluated using Intraclass Correlation Coefficients (ICCs).Results: 147 participants completed a paper EQ-5D. Response rates were 67% at 24 h and 58% at 7 days. There were no differences in means between paper and text message responses for the EQ-5D Index (p = 0.95) or EQ-5D VAS (p = 0.26). There was acceptable agreement between the paper and 24-h text message EQ-5D Index (0.84; 95% Confidence Interval (CI) 0.78-0.89) and EQ-5D VAS (0.73; 95% CI 0.64-0.82) and acceptable agreement between the 24-h and 7-day text message EQ-Index (0.72; CI 0.62-0.82) and EQ-VAS (0.72; CI 0.62-0.82). Non-responder traits were increasing age, Xhosa as first language and lower educational levels.Conclusions: Text messaging is equivalent to paper-based measurement of EQ-5D in this setting and is thus a viable tool for responders. Non-responders had similar socioeconomic characteristics and attrition rates to traditional modes of administration. The EQ-5D by text message offers potential clinical and research uses in hard-to-reach populations. [ABSTRACT FROM AUTHOR]

For studies using respondent driven sampling (RDS), the current practice of collecting a sample twice as large as that used in simple random sampling (SRS) (i.e. design effect of 2.00) may not be sufficient. This paper provides empirical evidence of sample-to-sample variability in design effects using data from nine studies in six countries among injecting drug users, female sex workers, men who have sex with men and male-to-female transgender (MTF) persons. We computed the design effect as the variance under RDS divided by the variance under SRS for a broad range of demographic and behavioral variables in each study. We also estimated several measures for each variable in each study that we hypothesized might be related to design effect: the number of waves needed for equilibrium, homophily, and mean network size. Design effects for all studies ranged from 1.20 to 5.90. Mean design effects among all studies ranged from 1.50 to 3.70. A particularly high design effect was found for employment status (design effect of 5.90) of MTF in Peru. This may be explained by a 'bottleneck'-defined as the occurrence of a relatively small number of recruitment ties between two groups in the population. A design effect of two for RDS studies may not be sufficient. Since the mean design effect across all studies was 2.33, an effect slightly above 2.00 may be adequate; however, an effect closer to 3.00 or 4.00 might be more appropriate. [ABSTRACT FROM AUTHOR]

Public policy is often concerned with the size and characteristics of special populations that are difficult to reach in household surveys. Chronic drug users, who often live outside conventional households, provide the illustration motivating this paper. An alternative to household surveys is to question chronic drug users where they congregate—jails, treatment programs, and shelters, for example. Using such opportunistic data for prevalence estimation raises difficult problems for statistical inference: Study subjects who arrive at the collection points cannot be deemed a random sample of the general population. However, if we could estimate the rates at which chronic drug users arrive at the collection points, then we could use those estimates to weight the sample to represent the population. This paper presents a modified Poisson mixture model used to estimate the stochastic process that accounts for how chronic drug users get arrested. It uses that model to estimate arrest rates for 38 counties using up to sixteen quarters of data from the Arrestee Drug Abuse Monitoring survey. [ABSTRACT FROM AUTHOR]

The U.S. is experiencing its highest immigration rate since the 1930s. The largest proportion of immigrants comes from Latin America, and women constitute a large and growing fraction of this group. Although our knowledge of the relationship between migration and women’s health is increasing, research in this area is still needed, particularly in areas experiencing rapid changes in their Latino populations. Yet research is impeded by the absence of an adequate sampling frame: Latina immigrants remain a largely hidden population. This study tests in four North Carolina counties a church-based sampling frame for Latina immigrant women in their reproductive years. In the study area, on an average week, 20% of the Spanish-speaking population attends church (two-thirds are Catholic). Compared against Census data for the study area, the study sample (n = 706) provided a comparable representation of different national origins. New entrants to the U.S. and married women were overrepresented in the church-based sample. The young (under age 30), and women at the lowest and highest extremes of educational attainment were underrepresented in churches. While a church-based sample is not entirely comparable to the Census, churches can provide timely and cost-effective access to a rapidly changing population of new immigrants. Church-based research should be complemented with research in other settings, adjusting sampling weights for overlap between sampling frames. [ABSTRACT FROM AUTHOR]