Use of geographic information systems for planning HIV prevention interventions for high-risk youths

Characterization of spatial and temporal transmission of HIV infection in Surabaya, Indonesia: Geographic information system (GIS) cluster detection analysis (2016-2020)

The high prevalence of human immunodeficiency virus (HIV) infections has become a devastating public health problem in Indonesia. In response, the government has taken measures to reduce the transmission of HIV and the number of deaths from HIV/acquired immunodeficiency syndrome (AIDS). However, these efforts have not successfully reduced the spread of HIV in Surabaya. In this study, we analyzed the factors that could influence the spread of HIV in Surabaya using a Geographic Information System. We conducted a spatial analysis of HIV/AIDS clusters in Surabaya from 2016 to 2020. Spatial autocorrelation and spatiotemporal analysis were used to identify local HIV clustering. In addition, the Global Moran's I index was applied to detect HIV clustering at the sub-district level. The results showed that HIV mostly occurred among males (683/969; 70.3%) in the economic age group (20-35 years) and that the infection was transmitted mostly through sexual intercourse (942/969; 97.2%). The hotspots were located in Central and Southern Surabaya, including the Genteng, Tegal Sari, Gubeng, and Sawahan sub-sub-districts. Western Surabaya (Benowo and Pakal) was the only hot spot in 2018. In conclusion, the spatial and temporal analysis of HIV, coupled with an assessment of the factors that drive the epidemic, can assist the government to formulate policies and design targeted interventions to prevent and control the epidemic in Surabaya, Indonesia.

Determining target populations for leprosy prophylactic interventions: a hotspot analysis in Indonesia

Background

Leprosy incidence remained at around 200,000 new cases globally for the last decade. Current strategies to reduce the number of new patients include early detection and providing post-exposure prophylaxis (PEP) to at-risk populations. Because leprosy is distributed unevenly, it is crucial to identify high-risk clusters of leprosy cases for targeting interventions. Geographic Information Systems (GIS) methodology can be used to optimize leprosy control activities by identifying clustering of leprosy cases and determining optimal target populations for PEP.

Methods

The geolocations of leprosy cases registered from 2014 to 2018 in Pasuruan and Pamekasan (Indonesia) were collected and tested for spatial autocorrelation with the Moran’s I statistic. We did a hotspot analysis using the Heatmap tool of QGIS to identify clusters of leprosy cases in both areas. Fifteen cluster settings were compared, varying the heatmap radius (i.e., 500 m, 1000 m, 1500 m, 2000 m, or 2500 m) and the density of clustering (low, moderate, and high). For each cluster setting, we calculated the number of cases in clusters, the size of the cluster (km²), and the total population targeted for PEP under various strategies.

Results

The distribution of cases was more focused in Pasuruan (Moran’s I = 0.44) than in Pamekasan (0.27). The proportion of total cases within identified clusters increased with heatmap radius and ranged from 3% to almost 100% in both areas. The proportion of the population in clusters targeted for PEP decreased with heatmap radius from > 100% to 5% in high and from 88 to 3% in moderate and low density clusters. We have developed an example of a practical guideline to determine optimal cluster settings based on a given PEP strategy, distribution of cases, resources available, and proportion of population targeted for PEP.

Conclusion

Policy and operational decisions related to leprosy control programs can be guided by a hotspot analysis which aid in identifying high-risk clusters and estimating the number of people targeted for prophylactic interventions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07103-0.

Incorporating Geographic Information Science and Technology in Response to the COVID-19 Pandemic

Incorporating geographic information science and technology (GIS&T) into COVID-19 pandemic surveillance, modeling, and response enhances understanding and control of the disease. Applications of GIS&T include 1) developing spatial data infrastructures for surveillance and data sharing, 2) incorporating mobility data in infectious disease forecasting, 3) using geospatial technologies for digital contact tracing, 4) integrating geographic data in COVID-19 modeling, 5) investigating geographic social vulnerabilities and health disparities, and 6) communicating the status of the disease or status of facilities for return-to-normal operations. Locations and availability of personal protective equipment, ventilators, hospital beds, and other items can be optimized with the use of GIS&T. Challenges include protection of individual privacy and civil liberties and closer collaboration among the fields of geography, medicine, public health, and public policy.

Using GIS for Disease Mapping and Clustering in Jeddah, Saudi Arabia

Geographic information systems (GIS) can be used to map the geographical distribution of the prevalence of disease, trends in disease transmission, and to spatially model environmental aspects of disease occurrence. The aim of this study is to discuss a GIS application created to produce mapping and cluster modeling of three diseases in Jeddah, Saudi Arabia: diabetes, asthma, and hypertension. Data about these diseases were obtained from health centers’ registered patient records. These data were spatially evaluated using several spatial–statistical analytical models, including kernel and hotspot models. These models were created to explore and display the disparate patterns of the selected diseases and to illustrate areas of high concentration, and may be invaluable in understanding local patterns of diseases and their geographical associations.

A systematic review of the geospatial barriers to antiretroviral initiation, adherence and viral suppression among people living with HIV

Background With the emergence of antiretroviral therapy (ART), Treatment as Prevention (TasP) has become the cornerstone of both HIV clinical care and HIV prevention. However, despite the efficacy of treatment-based programs and policies, structural barriers to ART initiation, adherence and viral suppression have the potential to reduce TasP effectiveness. These barriers have been studied using Geographic Information Systems (GIS). While previous reviews have examined the use of GIS for HIV testing - an essential antecedent to clinical care - to date, no reviews have summarised the research with respect to other ART-related outcomes.

METHODS

Therefore, the present review leveraged the PubMed database to identify studies that leveraged GIS to examine the barriers to ART initiation, adherence and viral suppression, with the overall goal of understanding how GIS has been used (and might continue to be used) to better study TasP outcomes. Joanna Briggs Institute criteria were used for the critical appraisal of included studies.

RESULTS

In total, 33 relevant studies were identified, excluding those not utilising explicit GIS methodology or not examining TasP-related outcomes.

CONCLUSIONS

Findings highlight geospatial variation in ART success and inequitable distribution of HIV care in racially segregated, economically disadvantaged, and, by some accounts, increasingly rural areas - particularly in the United States. Furthermore, this review highlights the utility and current limitations of using GIS to monitor health outcomes related to ART and the need for careful planning of resources with respect to the geospatial movement and location of people living with HIV (PLWH).

Gendered powerlessness in at-risk adolescent and young women: an empirical model

In the United States, youth aged 13-24 comprised approximately 21% of new HIV infections in 2017; 13% of these infections occurred among women, the majority of whom (86%) acquired HIV through heterosexual contact (Centers for Disease Control and Prevention. 2019a. HIV and youth. Retrieved from https://www.cdc.gov/hiv/group/age/youth/index.html, Centers for Disease Control and Prevention. 2019b. HIV among women. Retrieved from https://www.cdc.gov/hiv/group/gender/women/index.html). We fit and validated a developmentally appropriate empirical model of Connell's Theory of Gender and Power (Connell, R. W. 1987. Gender and power: Society, the person and sexual politics. Stanford, CA: Stanford University Press, Connell, R. W. 2013. Gender and power: Society, the person and sexual politics. Hoboken, NJ: John Wiley & Sons) in a sample of young women and assessed whether gendered powerlessness reflected a multidimensional higher-order latent factor, as the theory implies. Anonymous computer-assisted interviews were administered to at-risk, sexually active young women (N = 1,101). Factor analyses and structural equation modeling were used to determine the dimensionality of gendered powerlessness. Associations with condom use were examined to validate the model. We fit a three-component model of gendered powerlessness, but not a higher-order latent factor. We observed that high scores on two dimensions of gendered powerlessness - cathexis and sexual division of power - were associated with lower likelihood of condom use. Our three-component model helps elucidate the role that components of gendered powerlessness play in young women's health behaviors and underscores the need for measures tailored to young women at high risk of contracting HIV.

Surveillance studies involving HIV testing are needed: Will at-risk youth participate?

OBJECTIVE

Adolescent males who have sex with males (AMSMs) account for high numbers of new HIV diagnoses. To date, surveillance data have been limited to diagnosed cases of HIV, resulting in an underestimation of risk and burden among AMSMs unwilling or unable to access HIV testing. This study identified facilitators and barriers to AMSMs' participation in future surveillance studies involving HIV testing.

METHOD

AMSMs (n = 198) aged 14 to 17 years participated. The majority identified as non-Hispanic White or Latinx, had a least 1 male sex partner, and self-reported HIV negative. Participants read an online survey beginning with a vignette describing a hypothetical HIV surveillance study requiring HIV testing. They then completed questions assessing likelihood to participate, perceived research benefits and risks, attitudes toward HIV risk, prior HIV health services, and parental awareness of sexual orientation.

RESULTS

Approximately 40% indicated strong willingness to participate. Willingness was positively related to perceived HIV risk, free access to HIV testing, counseling and referral if testing positive, confidentiality protections, and lack of access to a trusted physician. Having to tell others if one tested positive for HIV and requirements for guardian permission were significant participation barriers.

CONCLUSIONS

Inclusion of HIV testing in surveillance studies is essential for accurate estimation of HIV incidence and prevalence among AMSMs. Successful recruitment of sexual minority youth into sexual health surveillance research will require procedures tailored to youth's health care needs and concerns, including adequate HIV counseling, referral to treatment if seropositive, and attention to concerns regarding guardian permission. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Sexual Partner Characteristics, Relationship Type, and HIV Risk Among a Community Venue-based Sample of Urban Adolescent and Young Adult Men Who Have Sex with Men

Few studies have examined sexual partnerships and HIV risk in diverse samples of African American/black and Hispanic/Latino adolescent and young adult men who have sex with men (YMSM), a group that have a high burden of HIV in the U.S. A community-venue recruitment approach was used, which identified significant differences in HIV risk by sexual partner type among 1215 YMSM. Those with casual partners had a higher number of sexual partners, had more STIs, and were more likely to engage in transactional sex, to use alcohol, marijuana, or other substances compared with those with main partners only. Among those with female sexual partners, many used condoms "every time" when engaging in vaginal sex with casual partners, but a sizeable proportion "never/rarely" used condoms with their main partners. Our findings demonstrate a need for tailored HIV prevention education and counseling with necessary skills regarding consistent and correct condom use with all sexual partnerships.

Spatial clusters of gonorrhoea in England with particular reference to the outcome of partner notification: 2012 and 2013

BACKGROUND

This study explored spatial-temporal variation in diagnoses of gonorrhoea to identify and quantify endemic areas and clusters in relation to patient characteristics and outcomes of partner notification (PN) across England, UK.

METHODS

Endemic areas and clusters were identified using a two-stage analysis with Kulldorff's scan statistics (SaTScan).

RESULTS

Of 2,571,838 tests, 53,547 diagnoses were gonorrhoea positive (positivity = 2.08%). The proportion of diagnoses in heterosexual males was 1.5 times that in heterosexual females. Among index cases, men who have sex with men (MSM) were 8 times more likely to be diagnosed with gonorrhoea than heterosexual males (p<0.0001). After controlling for age, gender, ethnicity and deprivation rank, 4 endemic areas were identified including 11,047 diagnoses, 86% of which occurred in London. 33 clusters included 17,629 diagnoses (34% of total diagnoses in 2012 and 2013) and spanned 21 locations, some of which were dominated by heterosexually acquired infection, whilst others were MSM focused. Of the 53,547 diagnoses, 14.5% (7,775) were the result of PN. The proportion of patients who attended services as a result of PN varied from 0% to 61% within different age, gender and sexual orientation cohorts. A third of tests resulting from PN were positive for gonorrhoea. 25% of Local Authorities (n = 81, 95% CI: 20.2, 29.5) had a higher than expected proportion for female PN diagnoses as compared to 16% for males (n = 52, 95% CI: 12.0, 19.9).

CONCLUSIONS

The English gonorrhoea epidemic is characterised by spatial-temporal variation. PN success varied between endemic areas and clusters. Greater emphasis should be placed on the role of PN in the control of gonorrhoea to reduce the risk of onward transmission, re-infection, and complications of infection.

Using Geographic Information Systems to Visualize Relationships Between Perinatal Outcomes and Neighborhood Characteristics When Planning Community Interventions

OBJECTIVE

To describe maternal morbidity, birth outcomes, and neighborhood characteristics of urban women from a racially segregated city with the use of a geographic information system (GIS).

DESIGN

Exploratory neighborhood-level study. Existing birth certificate data were linked and aggregated to neighborhood-level data for spatial analyses.

SETTING

Southern city in New Jersey.

SAMPLE

Women and their 7,858 live births that occurred between 2009 and 2013.

METHODS

Secondary analyses of extant sources were conducted. Maternal health and newborn birth outcomes were geocoded and then aggregated to the neighborhood level for further exploratory spatial analyses through our GIS database. An iterative process was used to generate meaningful visual representations of the data through maps of maternal and infant health in 19 neighborhoods.

RESULTS

The racial and ethnic residential segregation and neighborhood patterns of associations of adverse birth outcomes with poverty and crime were illustrated in GIS maps. In 43% of the births, women had a documented medical risk. Significantly more preterm births occurred for Black women (p < .01) and women older than 35 years of age (p = .01). The rate of diabetes was greater in Hispanic women, and the rate of pregnancy-related hypertensive disorders was greater in Black women.

CONCLUSION

Data-driven maps can provide clear evidence of maternal and infant health and health needs based on the neighborhoods where mothers live. This research is important so that maternity care providers can understand contextual factors that affect mothers in their communities and guide the design of interventions.

Exchange of Sex for Drugs or Money in Adolescents and Young Adults: An Examination of Sociodemographic Factors, HIV-Related Risk, and Community Context

The goal of this research was to examine associations among sociodemographic factors, HIV risk, and community context (e.g., economic insecurity, job training, housing instability, crime victimization, and perceived community norms) in adolescents and young adults who ever exchanged sex for drugs or money. Anonymous survey data were collected using ACASIs at community venues where adolescents and young adults congregate in resource-challenged, STI prevalent, urban, US neighborhoods. Conventional descriptive statistics, Fisher's exact tests, and generalized estimating equations approaches were used to examine associations. Participants (1818, 95.5 % of those screened eligible) were, on average, aged 21.0 years; 42.2 % were males, and 4.6 % were transgender. Almost one-third (32.1 %) identified as gay or lesbian, 18.1 % identified as bisexual; 66.2 % were Black and 21.0 % were Hispanic; 1.3 % was 'living on the street'. A sizeable proportion reported HIV-related risk: 16.3 % exchanged sex, 12.6 % had sex with someone they knew to be HIV-infected, 7.8 % had sex with someone who injected drugs, and 1.3 % injected drugs. Multivariate comparisons identified a number of variables (e.g., being male or transgender, homelessness, sex with a partner who has HIV, STI history, unemployment, job training access, housing instability, crime victimization, perceived community norms) that were significantly associated with exchange of sex (p < 0.05). This research contributes to the knowledge-base regarding exchange of sex among adolescents and young adults, particularly as it relates to community context. Longitudinal studies to describe the trajectory of social, health, and physical risks and consequences are needed for development of effective evidence-based prevention strategies.

Geospatial Indicators of Space and Place: A Review of Multilevel Studies of HIV Prevention and Care Outcomes Among Young Men Who Have Sex With Men in the United States

Young men who have sex with men (YMSM), particularly YMSM who are racial/ethnic minorities, are disproportionately affected by the human immunodeficiency virus (HIV) epidemic in the United States. These HIV disparities have been linked to demographic, social, and physical geospatial characteristics. The objective of this scoping review was to summarize the existing evidence from multilevel studies examining how geospatial characteristics are associated with HIV prevention and care outcomes among YMSM populations. Our literature search uncovered 126 peer-reviewed articles, of which 17 were eligible for inclusion based on our review criteria. Nine studies examined geospatial characteristics as predictors of HIV prevention outcomes. Nine of the 17 studies reported HIV care outcomes. From the synthesis regarding the current state of research around geospatial correlates of behavioral and biological HIV risk, we propose strategies to move the field forward in order to inform the design of future multilevel research and intervention studies for this population.

Identifying and characterizing hepatitis C virus hotspots in Massachusetts: a spatial epidemiological approach

Background

Hepatitis C virus (HCV) infections have increased during the past decade but little is known about geographic clustering patterns.

Methods

We used a unique analytical approach, combining geographic information systems (GIS), spatial epidemiology, and statistical modeling to identify and characterize HCV hotspots, statistically significant clusters of census tracts with elevated HCV counts and rates. We compiled sociodemographic and HCV surveillance data (n = 99,780 cases) for Massachusetts census tracts (n = 1464) from 2002 to 2013. We used a five-step spatial epidemiological approach, calculating incremental spatial autocorrelations and Getis-Ord Gi* statistics to identify clusters. We conducted logistic regression analyses to determine factors associated with the HCV hotspots.

Results

We identified nine HCV clusters, with the largest in Boston, New Bedford/Fall River, Worcester, and Springfield (p < 0.05). In multivariable analyses, we found that HCV hotspots were independently and positively associated with the percent of the population that was Hispanic (adjusted odds ratio [AOR]: 1.07; 95% confidence interval [CI]: 1.04, 1.09) and the percent of households receiving food stamps (AOR: 1.83; 95% CI: 1.22, 2.74). HCV hotspots were independently and negatively associated with the percent of the population that were high school graduates or higher (AOR: 0.91; 95% CI: 0.89, 0.93) and the percent of the population in the “other” race/ethnicity category (AOR: 0.88; 95% CI: 0.85, 0.91).

Conclusion

We identified locations where HCV clusters were a concern, and where enhanced HCV prevention, treatment, and care can help combat the HCV epidemic in Massachusetts. GIS, spatial epidemiological and statistical analyses provided a rigorous approach to identify hotspot clusters of disease, which can inform public health policy and intervention targeting. Further studies that incorporate spatiotemporal cluster analyses, Bayesian spatial and geostatistical models, spatially weighted regression analyses, and assessment of associations between HCV clustering and the built environment are needed to expand upon our combined spatial epidemiological and statistical methods.

Creating Systems Change to Support Goals for HIV Continuum of Care: The Role of Community Coalitions to Reduce Structural Barriers for Adolescents and Young Adults

Routine population-wide HIV screening, early linkage and long-term retention in healthcare for HIV-infected individuals are key nodes of the HIV continuum of care and are essential elements of the National HIV/AIDS Strategy. Despite this, up to 80% of youth are unaware of their HIV infection status and only 29% are linked to HIV healthcare; less than half are engaged in long-term HIV healthcare, and far fewer maintain viral suppression. To fill this gap and to address the national call to action to establish a seamless system for immediate linkage to continuous and coordinated quality healthcare after diagnosis, this paper describes the processes and mechanisms by which the SMILE Program worked within the infrastructure of the ATN-affiliated Connect to Protect^® (C2P) community coalitions to address structural barriers that hindered youth in their communities from being tested for HIV infection or linked and engaged in healthcare after an HIV positive diagnosis.

Geographic Variations in Retention in Care among HIV-Infected Adults in the United States

Objective

To understand geographic variations in clinical retention, a central component of the HIV care continuum and key to improving individual- and population-level HIV outcomes.

Design

We evaluated retention by US region in a retrospective observational study.

Methods

Adults receiving care from 2000–2010 in 12 clinical cohorts of the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) contributed data. Individuals were assigned to Centers for Disease Control and Prevention (CDC)-defined regions by residential data (10 cohorts) and clinic location as proxy (2 cohorts). Retention was ≥2 primary HIV outpatient visits within a calendar year, >90 days apart. Trends and regional differences were analyzed using modified Poisson regression with clustering, adjusting for time in care, age, sex, race/ethnicity, and HIV risk, and stratified by baseline CD4+ count.

Results

Among 78,993 adults with 444,212 person-years of follow-up, median time in care was 7 years (Interquartile Range: 4–9). Retention increased from 2000 to 2010: from 73% (5,000/6,875) to 85% (7,189/8,462) in the Northeast, 75% (1,778/2,356) to 87% (1,630/1,880) in the Midwest, 68% (8,451/12,417) to 80% (9,892/12,304) in the South, and 68% (5,147/7,520) to 72% (6,401/8,895) in the West. In adjusted analyses, retention improved over time in all regions (p<0.01, trend), although the average percent retained lagged in the West and South vs. the Northeast (p<0.01).

Conclusions

In our population, retention improved, though regional differences persisted even after adjusting for demographic and HIV risk factors. These data demonstrate regional differences in the US which may affect patient care, despite national care recommendations.

Where You Live Matters: Structural Correlates of HIV Risk Behavior Among Young Men Who Have Sex with Men in Metro Detroit

Structural characteristics are linked to HIV/STI risks, yet few studies have examined the mechanisms through which structural characteristics influence the HIV/STI risk of young men who have sex with men (YMSM). Using data from a cross-sectional survey of YMSM (ages 18-29) living in Detroit Metro (N = 328; 9 % HIV-positive; 49 % Black, 27 % White, 15 % Latino, 9 % Other race), we used multilevel modeling to examine the association between community-level characteristics (e.g., socioeconomic disadvantage; distance to LGBT-affirming institutions) and YMSM's HIV testing behavior and likelihood of engaging in unprotected anal intercourse with serodiscordant partner(s). We accounted for individual-level factors (race/ethnicity, poverty, homelessness, alcohol and marijuana use) and contextual factors (community acceptance and stigma regarding same-sex sexuality). YMSM in neighborhoods with greater disadvantage and nearer to an AIDS Service Organization were more likely to have tested for HIV and less likely to report serodiscordant partners. Community acceptance was associated with having tested for HIV. Efforts to address YMSM's exposure to structural barriers in Detroit Metro are needed to inform HIV prevention strategies from a socioecological perspective.

Finding HIV in hard to reach populations: mobile HIV testing and geospatial mapping in Umlazi township, Durban, South Africa

Mobile, community-based HIV testing may help achieve universal HIV testing in South Africa. We compared the yield, geographic distribution, and demographic characteristics of populations tested by mobile- and clinic-based HIV testing programs deployed by iThembalabantu Clinic in Durban, South Africa. From July to November 2011, 4,701 subjects were tested; HIV prevalence was 35 % among IPHC testers and 10 % among mobile testers (p < 0.001). Mobile testers varied in mean age (22-37 years) and % males (26-67 %). HIV prevalence at mobile sites ranged from 0 to 26 %. Testers traveled further than the clinic closest to their home; mobile testers were more likely to test ≥5 km away from home. Mobile HIV testing can improve testing access and identify testing sites with high HIV prevalence. Individuals often access mobile testing sites farther from home than their nearest clinic. Geospatial techniques can help optimize deployment of mobile units to maximize yield in hard-to-reach populations.

Social Support and Human Immunodeficiency Virus-Status Disclosure to Friends and Family: Implications for Human Immunodeficiency Virus-Positive Youth

PURPOSE

The fear of negative reactions from friends and family members affects many human immunodeficiency virus (HIV)-positive adolescents' decisions regarding disclosure of their HIV status. The complex relationships and interplay among social support, fear of stigma, and disclosure of HIV status need to be better understood among youth living with HIV (YLHIV).

METHODS

Social support from friends and family members and HIV status disclosure were examined among 402 youth, aged 12-24 years, living with HIV.

RESULTS

In separate analyses, (1) HIV-positive youth who reported more than one close friend and (2) HIV-positive youth who reported that friends and family members continued to socialize with them after disclosure of their HIV diagnosis, had higher levels of perceived social support overall (both p < .05). Furthermore, perceived social support did not differ significantly between those participants for whom no family member knew their HIV status and those for whom at least one family member knew their status (p = .13). Race/ethnicity, sexual orientation, education level, and current living situation were not associated with family's knowledge of the participants' HIV infection status (p > .07).

CONCLUSION

This investigation adds important information concerning YLHIV, whose early disclosure experiences may influence their resilience and future coping mechanisms regarding experienced stigma, and thus influence the length of time they conceal their HIV status, their decision to disclose their status, and potentially their decisions regarding treatment. Interventions and support systems to assist YLHIV with disclosure, as well as medical care, may improve their overall quality of life.

Targeting Structural Change for HIV Prevention: A Process and Tool for Community Application

To address the persistent HIV epidemic in the United States, prevention efforts are focusing on social determinants related to HIV risk by targeting systems and structures, such as organizational and institutional policies, practices and programs, and legislative and regulatory approaches to modify features of the environment that influence HIV risk. With limited evidenced-based examples, communities can benefit from strategic planning resources that help them consider developing structural-level changes that target root causes of HIV risk. In this article, we present the Connect to Protect® project that outlines a process and a tool to move from general ideas to specific structural changes. Examples from 14 coalitions are also provided. Using the process and tools presented here can provide a launching pad for other coalitions seeking to build an HIV prevention agenda and for practitioners seeking to incorporate structural changes for community health promotion.

Adding to the HIV Prevention Portfolio - the Achievement of Structural Changes by 13 Connect to Protect® Coalitions

Opportunities to control risk factors that contribute to HIV transmission and acquisition extend far beyond individuals and include addressing social and structural determinants of HIV risk, such as inadequate housing, poor access to healthcare and economic insecurity. The infrastructure within communities, including the policies and practices that guide institutions and organizations, should be considered crucial targets for change. This paper examines the extent to which 13 community coalitions across the U.S. and Puerto Rico were able to achieve "structural change" objectives (i.e., new or modified practices or policies) as an intermediate step toward the long-term goal of reducing HIV risk among adolescents and young adults (12-24 years old). The study resulted in the completion of 245 objectives with 70% categorized as structural in nature. Coalitions targeted social services, education and government as primary community sectors to adopt structural changes. A median of 12 key actors and six new key actors contributed to accomplishing structural changes. Structural change objectives required a median of seven months to complete. The structural changes achieved offer new ideas for community health educators and practitioners seeking to bolster their HIV prevention agenda.

Visualization and analytics tools for infectious disease epidemiology: a systematic review

BACKGROUND

A myriad of new tools and algorithms have been developed to help public health professionals analyze and visualize the complex data used in infectious disease control. To better understand approaches to meet these users' information needs, we conducted a systematic literature review focused on the landscape of infectious disease visualization tools for public health professionals, with a special emphasis on geographic information systems (GIS), molecular epidemiology, and social network analysis. The objectives of this review are to: (1) identify public health user needs and preferences for infectious disease information visualization tools; (2) identify existing infectious disease information visualization tools and characterize their architecture and features; (3) identify commonalities among approaches applied to different data types; and (4) describe tool usability evaluation efforts and barriers to the adoption of such tools.

METHODS

We identified articles published in English from January 1, 1980 to June 30, 2013 from five bibliographic databases. Articles with a primary focus on infectious disease visualization tools, needs of public health users, or usability of information visualizations were included in the review.

RESULTS

A total of 88 articles met our inclusion criteria. Users were found to have diverse needs, preferences and uses for infectious disease visualization tools, and the existing tools are correspondingly diverse. The architecture of the tools was inconsistently described, and few tools in the review discussed the incorporation of usability studies or plans for dissemination. Many studies identified concerns regarding data sharing, confidentiality and quality. Existing tools offer a range of features and functions that allow users to explore, analyze, and visualize their data, but the tools are often for siloed applications. Commonly cited barriers to widespread adoption included lack of organizational support, access issues, and misconceptions about tool use.

DISCUSSION AND CONCLUSION

As the volume and complexity of infectious disease data increases, public health professionals must synthesize highly disparate data to facilitate communication with the public and inform decisions regarding measures to protect the public's health. Our review identified several themes: consideration of users' needs, preferences, and computer literacy; integration of tools into routine workflow; complications associated with understanding and use of visualizations; and the role of user trust and organizational support in the adoption of these tools. Interoperability also emerged as a prominent theme, highlighting challenges associated with the increasingly collaborative and interdisciplinary nature of infectious disease control and prevention. Future work should address methods for representing uncertainty and missing data to avoid misleading users as well as strategies to minimize cognitive overload.

Comparison of geographic methods to assess travel patterns of persons diagnosed with HIV in Philadelphia: how close is close enough?

Travel distance to medical care has been assessed using a variety of geographic methods. Network analyses are less common, but may generate more accurate estimates of travel costs. We compared straight-line distances and driving distance, as well as average drive time and travel time on a public transit network for 1789 persons diagnosed with HIV between 2010 and 2012 to identify differences overall, and by distinct geographic areas of Philadelphia. Paired t-tests were used to assess differences across methods, and analysis of variance was used to assess between-group differences. Driving distances were significantly longer than straight-line distances (p<0.001) and transit times were significantly longer than driving times (p<0.001). Persons living in the northeast section of the city traveled greater distances, and at greater cost of time and effort, than persons in all other areas of the city (p<0.001). Persons living in the northwest section of the city traveled farther and longer than all other areas except the northeast (p<0.0001). Network analyses that include public transit will likely produce a more realistic estimate of the travel costs, and may improve models to predict medical care outcomes.

Spatial and social inequities in HIV testing utilization in the context of rapid scale-up of HIV/AIDS services in rural Mozambique

The massive scale-up of HIV counseling, testing, and treatment services in resource-limited sub-Saharan settings with high HIV prevalence has significant implications for the course of the HIV/AIDS epidemic. It also offers important broader policy lessons for improving access to critical health services. Applying GIS-based methods and multilevel regression analysis to unique longitudinal three-wave survey data from rural Mozambique, this study investigates the impact of a rapid expansion of HIV-related services on access to and utilization of HIV testing. The results illustrate the declining importance of spatial barriers to utilization of HIV testing services as these services expanded. In addition, the expansion of HIV-related services decreased the spatial variability of HIV testing among the survey respondents. At the same time, some important non-spatial variation, such as that in educational level, persisted despite the expansion of services. These results illustrate the process and consequences of health service diffusion.

Travel distance to HIV medical care: a geographic analysis of weighted survey data from the Medical Monitoring Project in Philadelphia, PA

Decisions regarding where patients access HIV care are not well understood. The purpose of this analysis was to examine differences in travel distance to care among persons receiving care in Philadelphia. A multi-stage sampling design was utilized to identify 400 potential participants. 65 % (260/400) agreed to be interviewed. Participants were asked questions about medical care, supportive services, and geographic location. Distances were calculated between residence and care location. 46.3 % travelled more than three miles beyond the nearest facility. Uninsured travelled further (6.9 miles, 95 % CI 3.9-9.8) than persons with public insurance (3.3 miles, 2.9-3.6). In multivariate analyses, no insurance (20/260) was associated with increased distance (p = 0.0005) and Hispanic ethnicity was associated with decreased distance (p = 0.0462). Persons without insurance travel further but insurance status alone does not explain the variability in distance travelled to care. In Philadelphia, Hispanic populations, and providers that may be most accessible to them, are spatially contained.

Coalition formation to address structural determinants of methamphetamine use in Thailand

Despite two recent government-sponsored 'wars on drugs', methamphetamine use continues to be a pervasive problem in Thailand. Out of concern for reported human rights abuses, there has been a call from the international community to take a different approach from the government's 'zero tolerance'. This paper describes the adaptation of the Connect to Protect® coalition formation process from urban U.S. cities to three districts in northern Thailand's Chiang Mai province, aimed to reduce methamphetamine use by altering the risk environment. Project materials, including manuals and materials (e.g. key actor maps and research staff memos), were reviewed to describe partnering procedures and selection criteria. Potential community partners were identified from various government and community sectors with a focus on including representatives from health, police, district and sub-district government officials. Of the 64 potential partners approached, 59 agreed to join one of three district-level coalitions. Partner makeup included 25% from the health sector, 22% who were sub-district government officials and 10% were representatives from the police sector. Key partners necessary for endorsement of and commitment to the coalition work included district-level governors, police chiefs and hospital directors for each district. Initial coalition strategic planning has resulted in policies and programs to address school retention, youth development initiatives and establishment of a new drug treatment and rehabilitation clinic in addition to other developing interventions. Similarities in building coalitions, such as the need to strategically develop buy-in with key constituencies, as well as differences of whom and how partners were identified are explored.

Are neighborhood conditions associated with HIV management?

OBJECTIVES

HIV infection has become a manageable chronic disease as a result of treatment advances. Secondary prevention efforts have proved inadequate to reduce the estimated incidence of new HIV infections. Epidemiological data suggest that geographical clustering of new HIV infections is a common phenomenon, particularly in urban areas among populations of low socioeconomic status. This study aimed to assess the relationship between neighbourhood conditions and HIV management and engagement in high-risk behaviours.

METHODS

During routine out-patient HIV clinic visits, 762 individuals from the St Louis metropolitan area completed behavioural assessments in 2008. Biomedical markers were abstracted from their medical records. Multi-level analyses were conducted based on individuals' census tracts.

RESULTS

The majority of the sample were male and African American. In the adjusted models, individuals residing in neighbourhoods with higher poverty rates were more likely to have lower CD4 cell counts and be current smokers. In neighbourhoods with higher rates of unemployment, individuals were less likely to have a current antiretroviral prescription. In more racially segregated neighbourhoods, individuals reported more depressive symptoms.

CONCLUSIONS

Despite the advances in HIV disease management, neighbourhood characteristics contribute to disparities in HIV care. Interventions that address neighbourhood conditions as barriers to HIV management may provide improved health outcomes.

Geographic information system-based screening for TB, HIV, and syphilis (GIS-THIS): a cross-sectional study

OBJECTIVE

To determine the feasibility and case detection rate of a geographic information systems (GIS)-based integrated community screening strategy for tuberculosis, syphilis, and human immunodeficiency virus (HIV).

DESIGN

Prospective cross-sectional study of all participants presenting to geographic hot spot screenings in Wake County, North Carolina.

METHODS

The residences of tuberculosis, HIV, and syphilis cases incident between 1/1/05-12/31/07 were mapped. Areas with high densities of all 3 diseases were designated "hot spots." Combined screening for tuberculosis, HIV, and syphilis were conducted at the hot spots; participants with positive tests were referred to the health department.

RESULTS AND CONCLUSIONS

Participants (N = 247) reported high-risk characteristics: 67% previously incarcerated, 40% had lived in a homeless shelter, and 29% had a history of crack cocaine use. However, 34% reported never having been tested for HIV, and 41% did not recall prior tuberculin skin testing. Screening identified 3% (8/240) of participants with HIV infection, 1% (3/239) with untreated syphilis, and 15% (36/234) with latent tuberculosis infection. Of the eight persons with HIV, one was newly diagnosed and co-infected with latent tuberculosis; he was treated for latent TB and linked to an HIV provider. Two other HIV-positive persons had fallen out of care, and as a result of the study were linked back into HIV clinics. Of 27 persons with latent tuberculosis offered therapy, nine initiated and three completed treatment. GIS-based screening can effectively penetrate populations with high disease burden and poor healthcare access. Linkage to care remains challenging and will require creative interventions to impact morbidity.

Bridging the gap between individual-level risk for HIV and structural determinants: using root cause analysis in strategic planning

HIV prevention efforts have expanded beyond individual-level interventions to address structural determinants of risk. Coalitions have been an important vehicle for addressing similar intractable and deeply rooted health-related issues. A root cause analysis process may aid coalitions in identifying fundamental, structural-level contributors to risk and in identifying appropriate solutions. For this article, strategic plans for 13 coalitions were analyzed both before and after a root cause analysis approach was applied to determine the coalitions' strategic plans potential impact and comprehensiveness. After root cause analysis, strategic plans trended toward targeting policies and practices rather than on single agency programmatic changes. Plans expanded to target multiple sectors and several changes within sectors to penetrate deeply into a sector or system. Findings suggest that root cause analysis may be a viable tool to assist coalitions in identifying structural determinants and possible solutions for HIV risk.

Challenges and approaches to mobilizing communities for HIV prevention among young men who have sex with men of color

Young men who have sex with men (YMSM) of color are disproportionately impacted by HIV/AIDS in the United States. More HIV prevention interventions targeting risk factors of this group are needed, particularly at the structural level. This article focuses on Connect to Protect®: Partnerships for Youth Prevention Interventions (C2P), a multisite study employing community mobilization to decrease HIV acquisition and transmission among youth. Seven C2P sites are mobilizing their communities to prevent HIV among YMSM of color. These sites have faced a number of similar challenges. This article uses qualitative data to explore three domains relating to community mobilization at YMSM sites-forming community partnerships, maintaining the coalition, and facilitating structural-level coalition objectives. Challenges and approaches across domains illustrated themes related to stigma and discrimination, mobilization around YMSM of color, coalition participation and funding.

Population weighted raster maps can communicate findings of social audits: examples from three continents

Background

Maps can portray trends, patterns, and spatial differences that might be overlooked in tabular data and are now widely used in health research. Little has been reported about the process of using maps to communicate epidemiological findings.

Method

Population weighted raster maps show colour changes over the study area. Similar to the rasters of barometric pressure in a weather map, data are the health occurrence – a peak on the map represents a higher value of the indicator in question. The population relevance of each sentinel site, as determined in the stratified last stage random sample, combines with geography (inverse-distance weighting) to provide a population-weighted extension of each colour. This transforms the map to show population space rather than simply geographic space.

Results

Maps allowed discussion of strategies to reduce violence against women in a context of political sensitivity about quoting summary indicator figures. Time-series maps showed planners how experiences of health services had deteriorated despite a reform programme; where in a country HIV risk behaviours were improving; and how knowledge of an economic development programme quickly fell off across a region. Change maps highlighted where indicators were improving and where they were deteriorating. Maps of potential impact of interventions, based on multivariate modelling, displayed how partial and full implementation of programmes could improve outcomes across a country. Scale depends on context. To support local planning, district maps or local government authority maps of health indicators were more useful than national maps; but multinational maps of outcomes were more useful for regional institutions. Mapping was useful to illustrate in which districts enrolment in religious schools – a rare occurrence - was more prevalent.

Conclusions

Population weighted raster maps can present social audit findings in an accessible and compelling way, increasing the use of evidence by planners with limited numeracy skills or little time to look at evidence. Maps complement epidemiological analysis, but they are not a substitute. Much less do they substitute for rigorous epidemiological designs, like randomised controlled trials.

Urban youths go 3000 miles: engaging and supporting young residents to conduct neighborhood asset mapping

In 2009, CARE (Community Alliance for Research and Engagement at Yale University) launched a multisectoral chronic disease prevention initiative that conducts baseline data collection, interventions, and follow-up data collection to measure change. Data collection includes asset mapping to assess environmental determinants of chronic disease risk factors in neighborhoods and around schools. CARE hired 7 local high school students to conduct asset mapping; they walked more than 3000 miles and collected 492 data points. Employing youths as community health workers to collect data greatly enriched the community research process and offered many advantages. We were able to efficiently and effectively conduct scientifically rigorous mapping while gaining entry into some of New Haven's most research-wary and skeptical neighborhoods.

Spatial visualization of multivariate datasets: an analysis of STD and HIV/AIDS diagnosis rates and socioeconomic context using ring maps

OBJECTIVES

We used existing data systems to examine sexually transmitted disease (STD) and HIV/AIDS diagnosis rates and explore potential county-level associations between HIV/AIDS diagnosis rates and socioeconomic disadvantage.

METHODS

Using South Carolina county data, we constructed multivariate ring maps to spatially visualize syphilis, gonorrhea, chlamydia, and HIV/AIDS diagnosis rates; gender- and race-specific HIV/AIDS diagnosis rates; and three measures of socioeconomic disadvantage-an unemployment index, a poverty index, and the Townsend index of social deprivation. Statistical analyses were performed to quantitatively assess potential county-level associations between HIV/AIDS diagnosis rates and each of the three indexes of socioeconomic disadvantage.

RESULTS

Ring maps revealed substantial spatial association in STD and HIV/AIDS diagnosis rates and highlighted large gender and racial disparities in HIV/AIDS across the state. The mean county-level HIV/AIDS diagnosis rate (per 100,000 population) was 24.2 for males vs. 11.2 for females, and 34.8 for African Americans vs. 5.2 for white people. In addition, ring map visualization suggested a county-level association between HIV/AIDS diagnosis rates and socioeconomic disadvantage. Significant positive bivariate relationships were found between HIV/AIDS rate categories and each increase in poverty index category (odds ratio [OR] = 2.03; p=0.006), as well as each increase in Townsend index of social deprivation category (OR=4.98; p<0.001). A multivariate ordered logistic regression model in which all three socioeconomic disadvantage indexes were included showed a significant positive association between HIV/AIDS and Townsend index categories (adjusted OR=6.10; p<0.001).

CONCLUSIONS

Ring maps graphically depicted the spatial coincidence of STD and HIV/AIDS and revealed large gender and racial disparities in HIV/AIDS across South Carolina counties. This spatial visualization method used existing data systems to highlight the importance of social determinants of health in program planning and decision-making processes.

Methamphetamine use and risk for HIV among young men who have sex with men in 8 US cities

OBJECTIVES

To examine methamphetamine use and its association with sexual behavior among young men who have sex with men.

DESIGN

Cross-sectional observational analysis.

SETTING

Eight US cities.

PARTICIPANTS

As part of the Adolescent Trials Network for HIV/AIDS Interventions, adolescent boys and young men who have sex with men, aged 12 to 24 years, were recruited from social venues (e.g., clubs, parks, and street corners) between January 3, 2005, and August 21, 2006, to complete a study survey.

MAIN OUTCOME MEASURES

Reported methamphetamine use in the past 90 days and reported sexual risk behavior compared with individuals reporting no hard drug use and individuals reporting hard drug use in the past 90 days.

RESULTS

Among 595 adolescent boys and young men, 64 reported recent methamphetamine use, and 444 reported no recent hard drug use (87 reported use of hard drugs other than methamphetamine). Recent methamphetamine use was associated with a history of sexually transmitted diseases (51.6%), 2 or more sex partners in the past 90 days (85.7%), sex with an injection drug user (51.6%), and sex with someone who has human immunodeficiency virus (32.8%) compared with individuals reporting no recent hard drug use (21.1%, 63.1%, 10.7%, and 11.1%, respectively; P < .05 for all [n = 441]). Recent users of methamphetamine were more likely to have a history of homelessness (71.9%) and were less likely to be currently attending school (35.9%) compared with individuals reporting no recent hard drug use (28.4% and 60.4%, respectively; P < .001 for both).

CONCLUSIONS

Adolescent boys and young men who have sex with men and use methamphetamine seem to be at high risk for human immunodeficiency virus. Prevention programs among this age group should address issues like housing, polydrug use, and educational needs.

Correlates of HIV testing history among urban youth recruited through venue-based testing in 15 US cities

BACKGROUND

Adolescents and young adults comprise disproportionately high percentages of individuals living with human immunodeficiency virus (HIV) and those with undiagnosed HIV. Our objective was to determine factors associated with history of HIV testing and receipt of results among a sample of urban, high-risk, sexually active adolescents in 15 US cities.

METHODS

A total of 20 to 30 sexually active youths, aged 12 to 24 years, were recruited to participate in an anonymous survey and HIV antibody testing at 2 to 3 venues per city identified by young men who have sex with men, young women of color, or intravenous drug users.

RESULTS

Of the 1457 participants, 72% reported having been previously tested for HIV (89% of whom were aware of their test results). Our sample was diverse in terms of gender, race/ethnicity, and sexual orientation. Factors found to be predictive of testing typically reflect high risk for HIV, except for some high-risk partner characteristics, including having had a partner that made the youth have sex without a condom or had a partner with unknown HIV status. Factors associated with knowledge of serostatus are reported. HIV testing seems to be more associated with sexually transmitted infection testing services than with primary care.

CONCLUSIONS

More strategies are needed that increase testing, including targeting partners of high-risk individuals, insuring receipt of test results, and increasing testing in primary care settings.

Spatial clustering of HIV prevalence in Atlanta, Georgia and population characteristics associated with case concentrations

We assessed prevalent HIV cases in Atlanta to examine case distribution trends and population characteristics at the census tract level that may be associated with clustering effects. We calculated cluster characteristics (area and internal HIV prevalence) via Kuldorff's spatial scan method. Subsequent logistic regression analyses were performed to analyze sociodemographics associated with inclusion in a cluster. Organizations offering voluntary HIV testing and counseling services were identified and we assessed average travel time to access these services. One large cluster centralized in downtown Atlanta was identified that contains 60% of prevalent HIV cases. The prevalence rate within the cluster was 1.34% compared to 0.32% outside the cluster. Clustered tracts were associated with higher levels of poverty (OR = 1.19), lower density of multi-racial residents (OR = 1.85), injection drug use (OR = 1.99), men having sex with men (OR = 3.01), and men having sex with men and IV drug use (OR = 1.6). Forty-two percent (N = 11) of identified HIV service providers in Atlanta are located in the cluster with an average travel time of 13 minutes via car to access these services (SD = 9.24). The HIV epidemic in Atlanta is concentrated in one large cluster characterized by poverty, men who have sex with men (MSM), and IV drug usage. Prevention efforts targeted to the population living in this area as well as efforts to address the specific needs of these populations may be most beneficial in curtailing the epidemic within the identified cluster.

The role of public health and how boundary analysis can provide a tool for public health investigations: the public health perspective

The rapidly expanding capabilities to analyze geocoded data are opening many possibilities to provide revolutionary improvements in the ability to monitor health events over time and space. The role of public health and what science based public health intervention means is reviewed. The type of information that is useful to public health planners is discussed. How geospatial analysis fits in with the process of developing public health programs and how the public health field can use these advances in analytical techniques, associated software and available geocoded data is discussed. The value of boundary analysis as an analytical tool is assessed from the public health perspective. Why the ability to determine geographically associated event clusters and to identify the boundaries of clusters, independent of any predetermined polygon, establishes the best information possible for assessing health event data, planning interventions and monitoring the outcomes of intervention efforts is discussed.

Community engagement and investment in biomedical HIV prevention research for youth: rationale, challenges, and approaches

There has been a growing awareness of the importance of engaging communities in the development, testing, and eventual dissemination of biomedical strategies. Community engagement offers many benefits but comes with many challenges. This article will discuss these benefits and challenges and describe two examples of community engagement, Connect to Protect in the United States, and the South African Studies on HIV in Adolescents Project in South Africa, that represent investment in community engagement as preparation for biomedical HIV prevention clinical trials for youth.

Introduction: Paving the way for biomedical HIV prevention interventions in youth

The HIV epidemic among youth continues to grow at alarming proportions throughout the world. Efficacious and comprehensive biomedical prevention interventions are desperately needed for this vulnerable population if a reduction in global HIV incidence is to be achieved. To succeed at enrolling youth in studies of such modalities, communities whose youth will be participating must be highly engaged throughout the spectrum of research concept development to implementation and later translation into programs. In this process, there are numerous challenges, both intrinsic and extrinsic to the youth themselves. Intrinsic ones include developmental considerations in physiology, pharmacology, and behavior; extrinsic considerations are those in the community, ethical, legal, and regulatory arenas and those in designing clinical trials for youth to feasibly participate. We convened a consultative meeting to deliberate over these considerations among a variety of experts representing youth and their community, advocacy groups, academia, industry, regulators, and others in the federal government. Broad recommendations aimed at many stakeholders in the adolescent HIV prevention research agenda were made and were to improve the timely inclusion of youth in this research to ensure that prevention agents can be used safely by youth as soon as they become available to adults.

If you build it, they still may not come: outcomes and process of implementing a community-based integrated knowledge translation mapping innovation

Background

Maps and mapping tools through geographic information systems (GIS) are highly valuable for turning data into useful information that can help inform decision-making and knowledge translation (KT) activities. However, there are several challenges involved in incorporating GIS applications into the decision-making process. We highlight the challenges and opportunities encountered in implementing a mapping innovation as a KT strategy within the non-profit (public) health sector, reflecting on the processes and outcomes related to our KT innovations.

Methods

A case study design, whereby the case is defined as the data analyst and manager dyad (a two-person team) in selected Ontario Early Year Centres (OEYCs), was used. Working with these paired individuals, we provided a series of interventions followed by one-on-one visits to ensure that our interventions were individually tailored to personal and local decision-making needs. Data analysis was conducted through a variety of qualitative assessments, including field notes, interview data, and maps created by participants. Data collection and data analysis have been guided by the Ottawa Model of Research Use (OMRU) conceptual framework.

Results

Despite our efforts to remove all barriers associated with our KT innovation (maps), our results demonstrate that both individual level and systemic barriers pose significant challenges for participants. While we cannot claim a causal association between our project and increased mapping by participants, participants did report a moderate increase in the use of maps in their organization. Specifically, maps were being used in decision-making forums as a way to allocate resources, confirm tacit knowledge about community needs, make financially-sensitive decisions more transparent, evaluate programs, and work with community partners.

Conclusions

This project highlights the role that maps can play and the importance of communicating the importance of maps as a decision support tool. Further, it represents an integrated knowledge project in the community setting, calling to question the applicability of traditional KT approaches when community values, minimal resources, and partners play a large role in decision making. The study also takes a unique perspective--where research producers and users work as dyad-pairs in the same organization--that has been under-explored to date in KT studies.

Mobilizing communities around HIV prevention for youth: how three coalitions applied key strategies to bring about structural changes

Increasingly, HIV prevention efforts must focus on altering features of the social and physical environment to reduce risks associated with HIV acquisition and transmission. Community coalitions provide a vehicle for bringing about sustainable structural changes. This article shares lessons and key strategies regarding how three community coalitions located in Miami and Tampa, Florida, and San Juan, Puerto Rico engaged their respective communities in bringing about structural changes affecting policies, practices and programs related to HIV prevention for 12-24-year-olds. Outcomes of this work include increased access to HIV testing and counseling in the juvenile correctional system (Miami), increased monitoring of sexual abuse between young women and older men within public housing, and support services to deter age discordant relationships (Tampa) and increased access to community-based HIV testing (San Juan).

Adolescents and HIV: prevention and clinical care

The incidence of HIV infection has increased to alarming proportions among minority youth, in particular among young men who have sex with men and among teenage girls. The unique socioeconomic, behavioral, and emotional vulnerability of adolescents for sexually transmitted diseases, including HIV, requires early identification of HIV infection for linkage to care. Differences in the clinical and psychosocial presentations of youth with perinatally versus behavioral acquired HIV infection are important and influence the acceptance of illness, self-efficacy, and antiretroviral treatment adherence. The ideal multidisciplinary team approach of culturally sensitive services for youth integrates clinical care, psychosocial and peer support interventions, transition planning, primary and secondary prevention, as well as comprehensive reproductive adolescent health services.

Examining differences in types and location of recruitment venues for young males and females from urban neighborhoods: findings from a multi-site HIV prevention study

Finding and accessing members of youth subpopulations, such as young men who have sex with men (YMSM) of color or young females of color, for behavioral or disease surveillance or study recruitment, pose particular challenges. Venue-based sampling strategies--which hinge on where individuals congregate or "hang out" rather than where they live--appear to be effective alternatives. Methods used to identify venues focus on engaging members of social networks to learn where targeted populations congregate. However, it is not always clear if and how these methods differ according to gender, whether the youth accessed at a venue are actually from neighborhoods in which the venues are found, and whether the location of venues relative to neighborhoods of residence is different for young men and young women. This study illustrates the gender differences in venue type and venue location where eligible youth study participants from high-risk neighborhoods could be accessed for HIV research across 15 research sites (sites). The findings indicate that the study's method led to identifying venues where one quarter or more of the youth were eligible study participants and from the high-risk neighborhoods. Sites targeting young women of color had a higher proportion of eligible study participants who were also from the high-risk neighborhoods than sites targeting YMSM. Clubs were most commonly identified by sites targeting YMSM as recruitment venues, whereas neighborhood-based service or commercial centers were more common venues for young women of color. This study reveals how venue-based recruitment strategies can be tailored and resources maximized by understanding the key differences in the types of venues preferred by males and females and by recognizing that female-preferred venues are more likely to be closer to home.

Partnership selection and formation: a case study of developing adolescent health community-researcher partnerships in fifteen U.S. communities

PURPOSE

This study describes the partner selection process in 15 U.S. communities developing community-researcher partnerships for the Connect to Protect (C2P): Partnerships for Youth Prevention Interventions, an initiative of the Adolescent Trials Network for human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) Interventions.

METHODS

Each site generated an epidemiological profile of urban youth in their community, selected a focus population and geographic area of youth at risk for HIV, conducted a series of successive structured interviews, and engaged in a process of relationship-building efforts culminating in a collaborative network of community agencies.

RESULTS

Sites chose as their primary target population young women who have sex with men (n = 8 sites), young men who have sex with men (n = 6), and intravenous drug users (n = 1). Of 1162 agencies initially interviewed, 281 of 335 approached (84%) agreed to join the partnership (average 19/site). A diverse array of community agencies were represented in the final collaborative network; specific characteristics included: 93% served the sites' target population, 54% were predominantly youth oriented, 59% were located in the geographical area of focus, and 39% reported provision of HIV/STI (sexually transmitted infection) prevention services. Relationship-building activities, development of collaborative relationships, and lessons learned, including barriers and facilitators to partnership, are also described.

CONCLUSIONS

Study findings address a major gap in the community partner research literature. Health researchers and policymakers need an effective partner selection framework whereby community-researcher partnerships can develop a solid foundation to address public health concerns.