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

Explaining inequity in knowledge, attitude, and services related to HIV/AIDS: a systematic review

BACKGROUND

Equitable service provision and coverage are important responses to end the threat of the HIV/AIDS pandemic. Understanding inequity supports policies and programmes to deliver tailored interventions. There is continuous evidence generation on inequity in HIV/AIDS services. However, there was a lack of evidence on the global picture of inequity in behavioural and biomedical services related to HIV/AIDS. This systematic review assessed inequities in knowledge, attitude, HIV testing, and ART coverage across individual-level social groups and multiple (dis)advantage categories.

METHODS

This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline, with a PROSPERO registration number CRD42024521247. The risk of bias was assessed by using Hoy et al's and Joanna Brigg's quality appraisal checklists for cross-sectional quantitative and qualitative studies, respectively. The search date was from inception to the final database search date (May 29, 2023). The included articles were either quantitative or qualitative studies. We used mixed-methods approach to analyse the data from the review articles. Quantitative descriptive analysis was conducted to estimate frequency of articles published from different countries around the world. Qualitative content analysis of the findings from the original studies was conducted using the PROGRESS plus framework which stands for: place of residence, occupation or employment status, gender, religion, education status, socioeconomic status, and social capital.

RESULTS

Out of 6,029 articles that were accessed and screened, only 72 articles met the inclusion criteria. More articles on HIV-related equity in knowledge, attitude, testing, and ART were published in developed countries than in developing countries. Individuals from higher-income households had better knowledge about HIV/AIDS. Unfavourable attitudes towards people living with HIV and HIV/AIDS-associated stigma were common among women. HIV/AIDS service coverage (HIV testing or ART coverage) was higher among richer and urban residents. HIV/AIDS-associated stigma and lower levels of knowledge about HIV/AIDS were observed among multiple disadvantageous groups due to the intersection of two or more identities.

CONCLUSIONS

The current review revealed that there have been disparities in HIV/AIDS services between social classes. Ending service disparity towards the global threat of HIV/AIDS demands tailored interventions based on socially disadvantaged groups (e.g., poor, rural dwellers, and women) and intersectional determinants. There is a need to understand the deep-rooted causes of inequity and the challenges that an equity-oriented system faces over time. More studies on inequity are needed, including intersectional inequity, which has been rarely studied in developing countries.

Evaluating the spatial accessibility and spatial layout optimization of HIV/AIDS healthcare services in Shandong Province, China

Improving access to HIV/AIDS healthcare services is of great concern to government and policymakers striving to strengthen overall public health. How to reasonably allocate HIV/AIDS healthcare resources and maximize the equality of access to healthcare services across subdistrict areas has become an urgent problem to be solved. However, there is limited research on this topic in China. It is necessary to evaluate spatial accessibility to improve the accessibility and equity of HIV/AIDS healthcare services. In this study, the improved multi-modal two-step floating catchment area (2SFCA) and inverted 2SFCA (i2SFCA) methods are used to measure the spatial accessibility of HIV/AIDS healthcare services and the crowdedness of the healthcare sites in Shandong Province, China. Then, the theoretical supply and the optimal spatial distribution of resources are calculated and visualized by minimizing the accessibility gaps between demand locations. This study showed that the spatial accessibility of HIV/AIDS service resources in Shandong Province was concentrated and unevenly distributed, and the accessibility scores in the marginal areas of prefecture-level cities were significantly lower than those in other areas. Regions with a large number of doctors had significantly higher levels of spatial accessibility. The ART accessibility scores in the southwest of Shandong Province were higher than those in other regions. As the travel friction coefficient increased, the accessibility scores formed an approximately circular cluster distribution centered on the healthcare sites in geographical distribution. More ART drugs needed to be supplied in marginal areas and more doctors were needed to work on HIV/AIDS in urban areas to address the spatial distribution imbalance of HIV/AIDS healthcare services. This study profoundly analyzed the spatial accessibility of HIV/AIDS healthcare services and provided essential references for decision-makers. In addition, it gives a significant exploration for achieving the goal of equal access to HIV/AIDS healthcare services in the future.

Mapping geographic clusters of new HIV diagnoses to inform granular-level interventions for HIV epidemic control in western Kenya

BACKGROUND

As countries make progress towards HIV epidemic control, there is increasing need to identify finer geographic areas to target HIV interventions. We mapped geographic clusters of new HIV diagnoses, and described factors associated with HIV-positive diagnosis, in order to inform targeting of HIV interventions to finer geographic areas and sub-populations.

METHODS

We analyzed data for clients aged > 15 years who received home-based HIV testing as part of a routine public health program between May 2016 and July 2017 in Siaya County, western Kenya. Geospatial analysis using Kulldorff's spatial scan statistic was used to detect geographic clusters (radius < 5 kilometers) of new HIV diagnoses. Factors associated with new HIV diagnosis were assessed in a spatially-integrated Bayesian hierarchical model.

RESULTS

Of 268,153 clients with HIV test results, 2906 (1.1%) were diagnosed HIV-positive. We found spatial variation in the distribution of new HIV diagnoses, and identified nine clusters in which the number of new HIV diagnoses was significantly (1.56 to 2.64 times) higher than expected. Sub-populations with significantly higher HIV-positive yield identified in the multivariable spatially-integrated Bayesian model included: clients aged 20-24 years [adjusted relative risk (aRR) 3.45, 95% Bayesian Credible Intervals (CI) 2.85-4.20], 25-35 years (aRR 4.76, 95% CI 3.92-5.81) and > 35 years (aRR 2.44, 95% CI 1.99-3.00); those in polygamous marriage (aRR 1.84, 95% CI 1.55-2.16), or separated/divorced (aRR 3.36, 95% CI 2.72-4.08); and clients who reported having never been tested for HIV (aRR 2.35, 95% CI 2.02-2.72), or having been tested > 12 months ago (aRR 1.53, 95% CI 1.41-1.66).

CONCLUSION

Our study used routine public health program data to identify granular geographic clusters of higher new HIV diagnoses, and sub-populations with higher HIV-positive yield in the setting of a generalized HIV epidemic. In order to target HIV testing and prevention interventions to finer granular geographic areas for maximal epidemiologic impact, integrating geospatial analysis into routine public health programs can be useful.

What has comprehensive HIV/AIDS knowledge got to do with HIV testing among men in Kenya and Mozambique? Evidence from Demographic and Health Surveys

People living with undiagnosed HIV are big contributors to the transmission of the virus. Although measures have been made to scale up HIV prevention and voluntary counselling and testing in sub-Saharan Africa, testing coverage remains low in many sub-Saharan African countries, including Mozambique and Kenya, where most people live with HIV/AIDS. Studies have shown that, in most countries in sub-Saharan Africa, men are less likely to test for HIV compared with women. This study examined the relationship between comprehensive HIV/AIDS knowledge and HIV testing among men in Kenya and Mozambique. Data were from the men's re-code file of the Demographic and Health Surveys of Mozambique and Kenya. Binary logistic regression models were generated and the results presented as crude odds ratios (cOR) and adjusted odds ratios (aOR). The prevalences of HIV testing in Kenya and Mozambique were 80.1% and 46.7%, respectively. Men in Mozambique who had comprehensive HIV/AIDS knowledge (aOR=1.26, CI: 1.07-1.47) were more likely to test for HIV compared with their counterparts who had no comprehensive HIV/AIDS knowledge. In Kenya, men who had comprehensive HIV/AIDS knowledge (aOR=1.23, CI: 1.09-1.39) were more likely to test for HIV compared with their counterparts who had no comprehensive HIV/AIDS knowledge. This study found a statistically strong significant association between comprehensive HIV/AIDS knowledge and HIV testing among men in Kenya and Mozambique. To improve HIV testing rate among men, it is important that interventions are geared towards improving men's comprehensive HIV/AIDS knowledge, perhaps by expanding HIV/AIDS education programmes and campaigns. This could improve HIV testing rates and ensure the realization of the global HIV/AIDS target of 95-95-95 by the year 2030.

The winding road to health: A systematic scoping review on the effect of geographical accessibility to health care on infectious diseases in low- and middle-income countries

BACKGROUND

Geographical accessibility to healthcare is an important component of infectious disease dynamics. Timely access to health facilities can prevent disease progression and enables disease notification through surveillance systems. The importance of accounting for physical accessibility in response to infectious diseases is increasingly recognized. Yet, there is no comprehensive review of the literature available on infectious diseases in relation to geographical accessibility to care. Therefore, we aimed at evaluating the current state of knowledge on the effect of geographical accessibility to health care on infectious diseases in low- and middle-income countries.

METHODS AND FINDINGS

A search strategy was developed and conducted on Web of Science and PubMed on 4 March 2019. New publications were checked until May 28, 2020. All publication dates were eligible. Data was charted into a tabular format and descriptive data analyses were carried out to identify geographical regions, infectious diseases, and measures of physical accessibility among other factors. Search queries in PubMed and Web of Science yielded 560 unique publications. After title and abstract screening 99 articles were read in full detail, from which 64 articles were selected, including 10 manually. Results of the included publications could be broadly categorized into three groups: (1) decreased spatial accessibility to health care was associated with a higher infectious disease burden, (2) decreased accessibility was associated to lower disease reporting, minimizing true understanding of disease distribution, and (3) the occurrence of an infectious disease outbreak negatively impacted health care accessibility in affected regions. In the majority of studies, poor geographical accessibility to health care was associated with higher disease incidence, more severe health outcomes, higher mortality, and lower disease reporting. No difference was seen between countries or infectious diseases.

CONCLUSIONS

Currently, policy-makers and scientists rely on data collected through passive surveillance systems, introducing uncertainty on disease estimates for remote communities. Our results highlight the need for increasing integration of geographical accessibility measures in disease risk modelling, allowing more realistic disease estimates and enhancing our understanding of true disease burden. Additionally, disease risk estimates could be used in turn to optimize the allocation of health services in the prevention and detection of infectious diseases.

Geospatial Hotspots Need Point-of-Care Strategies to Stop Highly Infectious Outbreaks

CONTEXT.—

Point-of-care testing (POCT), diagnostic testing at or near the site of patient care, is inherently spatial, that is, performed at points of need, and also intrinsically temporal, because it produces fast actionable results. Outbreaks generate geospatial "hotspots." POC strategies help control hotspots, detect spread, and speed treatment of highly infectious diseases.

OBJECTIVES.—

To stop outbreaks, accelerate detection, facilitate emergency response for epidemics, mobilize public health practitioners, enhance community resilience, and improve crisis standards of care.

DATA SOURCES.—

PubMed, World-Wide Web, newsprint, and others were searched until Coronavirus infectious disease-19 was declared a pandemic, the United States, a national emergency, and Europe, the epicenter. Coverage comprised interviews in Asia, email to/from Wuhan, papers, articles, chapters, documents, maps, flowcharts, schematics, and geospatial-associated concepts. EndNote X9.1 (Clarivate Analytics) consolidated literature as abstracts, ULRs, and PDFs, recovering 136 hotspot articles. More than 500 geospatial science articles were assessed for relevance to POCT.

CONCLUSIONS.—

POCT can interrupt spirals of dysfunction and delay by enhancing disease detection, decision-making, contagion containment, and safe spacing, thereby softening outbreak surges and diminishing risk before human, economic, and cultural losses mount. POCT results identify where infected individuals spread Coronavirus infectious disease-19, when delays cause death, and how to deploy resources. Results in national cloud databases help optimize outbreak control, mitigation, emergency response, and community resilience. The Coronavirus infectious disease-19 pandemic demonstrates unequivocally that governments must support POCT and multidisciplinary healthcare personnel must learn its principles, then adopt POC geospatial strategies, so that onsite diagnostic testing can ramp up to meet needs in times of crisis.

Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005-2015

Spatiotemporal analyses can support Human Immuno-deficiency Virus (HIV) prevention programmes by identifying locations of at-risk populations in space and time, and their proximity to HIV testing and prevention services. We assessed residential proximity to HIV testing venues for Men who have Sex with Men (MSM) and Transgender Women (TGW) attending Voluntary Counselling and Testing (VCT) at a large urban MSM clinic in Bangkok, Thailand in the period 2005-2015. We mapped clientprovided spatial data and HIV testing venues, calculating distance from residence to venues for VCT clients between i) September 2005-December 2009; ii) January 2010-September 2013; and iii) October 2013-May 2015. We assessed spatial characteristics across times, evaluating autocorrelation of HIV prevalence and visit density using Moran's I. Among 8,758 first-time VCT clients reporting geographic information from 2005-2015 (by period: 2737, 3917, 2104), 1329 (15.2%) lived in postal codes ≤5 km from the clinic. Over time, the proportion living in areas covered by Bangkok postal codes ≤2 km from any MSM HIV testing venue increased from 12.6% to 41.0% (p<0.01). The proportion living ≤5 km from the clinic decreased from 16.6% to 13.0% (p<0.01). HIV prevalence and clinic visit density demonstrated statistically significant non-random spatial patterning. Significant non-random patterning of prevalent infection and client visits highlighted Bangkok's urban HIV epidemic, clinic proximity to clients, and geographic reach. Clients lived closer to testing venues, yet farther from the urban MSM clinic, over time. Spatiotemporal characteristics of VCT clients can help assess service accessibility and guide targeted prevention planning.

Inequalities in the access to and quality of healthcare in Mozambique: evidence from the household budget survey

OBJECTIVES

To assess the inequalities in the access to and quality of care and its related direct payments.

DESIGN

Secondary analysis of the cross-sectional Mozambican Household Budget Survey (HBS).

SETTING

Nationally-representative sample of households in Mozambique.

PARTICIPANTS

11 480 households (58 118 individuals) interviewed during HBS 2014/15.

INTERVENTION

None.

MAIN OUTCOME MEASURES

Equity, utilization of healthcare, access to quality care and direct payments.

RESULTS

About 12.2% of women and 10.1% of men of the survey report a perceive health need. About 72.1% of women and 72.9% men use healthcare. Population in a disadvantaged position living in rural areas have less probabilities of using healthcare for equal health compared to the individuals of a wealthier position and living in urban settings. With regard to quality care, 47.7% women and 46.8% men do not report quality problems. No differences for women's wealth. Men in a disadvantaged position report less chances of accessing quality care compared to men of advantaged position. Also, women and men living in rural areas have less probabilities of accessing quality care. Finally, the majority of people who access healthcare paid 1 Mt during their visit.

CONCLUSIONS

This study tackles a fundamental policy concern for health systems of Sub-Saharan Africa and points to areas that urge action to address the existent of socioeconomic and geographical inequalities in the access to and quality of care for women and men, including the strengthening of health facilities in rural and deprived areas to ensure that access to adequate care of acceptable quality is distributed according to need.

Geospatial Science and Point-of-Care Testing: Creating Solutions for Population Access, Emergencies, Outbreaks, and Disasters

Objectives: (a) To understand how to integrate geospatial concepts when implementing point-of-care testing (POCT); (b) to facilitate emergency, outbreak, and disaster preparedness and emergency management in healthcare small-world networks; (c) to enhance community resilience by using POCT in tandem with geographic information systems (GISs) and other geospatial tools; and (d) to advance crisis standards of care at points of need, adaptable and scalable for public health practice in limited-resource countries and other global settings.

Content: Visual logistics help integrate and synthesize POCT and geospatial concepts. The resulting geospatial solutions presented here comprise: (1) small-world networks and regional topography; (2) space-time transformation, hubs, and asset mapping; (3) spatial and geospatial care paths™; (4) GIS-POCT; (5) isolation laboratories, diagnostics isolators, and mobile laboratories for highly infectious diseases; (6) alternate care facilities; (7) roaming POCT—airborne, ambulances, space, and wearables; (8) connected and wireless POCT outside hospitals; (9) unmanned aerial vehicles; (10) geospatial practice—demographic care unit resource scoring, geographic risk assessment, and national POCT policy and guidelines; (11) the hybrid laboratory; and (12) point-of-careology.

Value: Small-world networks and their connectivity facilitate efficient and effective placement of POCT for optimal response, rescue, diagnosis, and treatment. Spatial care paths™ speed transport from primary encounters to referral centers bypassing topographic bottlenecks, process gaps, and time-consuming interruptions. Regional GISs position POCT close to where patients live to facilitate rapid triage, decrease therapeutic turnaround time, and conserve economic resources. Geospatial care paths™ encompass demographic and population access features. Timeliness creates value during acute illness, complex crises, and unexpected disasters. Isolation laboratories equipped with POCT help stop outbreaks and safely support critically ill patients with highly infectious diseases. POCT-enabled spatial grids can map sentinel cases and establish geographic limits of epidemics for ring vaccination.

Impact: Geospatial solutions generate inherently optimal and logical placement of POCT conceptually, physically, and temporally as a means to improve crisis response and spatial resilience. If public health professionals, geospatial scientists, and POCT specialists join forces, new collaborative teamwork can create faster response and higher impact during disasters, complex crises, outbreaks, and epidemics, as well as more efficient primary, urgent, and emergency community care.

Gendered relationship between HIV stigma and HIV testing among men and women in Mozambique: a cross-sectional study to inform a stigma reduction and male-targeted HIV testing intervention

OBJECTIVES

Increasing and sustaining engagement in HIV care for people living with HIV are critical to both individual therapeutic benefit and epidemic control. Men are less likely to test for HIV compared with women in sub-Saharan African countries, and ultimately have delayed entry to HIV care. Stigma is known to impede such engagement, placing an importance on understanding and addressing stigma to improve HIV testing and care outcomes. This study aimed to assess the gendered differences in the relationship between stigma and HIV testing.

DESIGN AND SETTING

A cross-sectional, household probability survey was implemented between November and December 2016 in the Sofala province of Mozambique.

PARTICIPANTS

Data were restricted to men and women participants who reported no prior diagnosis of HIV infection (N=2731).

MEASURES

Measures of sociodemographic characteristics, stigma and past exposure to HIV interventions were included in gender-stratified logistic regression models to estimate the relationship between stigma and recent testing for HIV, as well as to identify other relevant correlates.

RESULTS

Significantly fewer men (38.3%) than women (47.6%; p<0.001) had recently tested for HIV. Men who reported previous engagement in community group discussions about HIV had an increased odds of testing in the past 12 months compared to those who had not participated (adjusted OR (aOR)=1.92; 95% CI 1.51 to 2.44). Concerns about stigma were not a commonly reported barrier to HIV testing; however, men who expressed anticipated individual HIV stigma had a 35% lower odds of recent HIV testing (aOR=0.65; 95% CI 0.44 to 0.96). This association was not observed among women.

CONCLUSIONS

Men have lower uptake of HIV testing in Mozambique when compared to women. Even amidst the beneficial effects of HIV messaging, individual stigma is negatively associated with recent HIV testing among men. Intervention efforts that target the unique challenges and needs of men are essential in promoting men's engagement into the HIV care continuum in sub-Saharan Africa.

Geographic Information Systems, spatial analysis, and HIV in Africa: A scoping review

INTRODUCTION

Geographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa. To help inform researchers and program implementers, this scoping review documents the range and depth of published HIV-related GIS and spatial analysis research studies conducted in Africa.

METHODS

A systematic literature search for articles related to GIS and spatial analysis was conducted through PubMed, EMBASE, and Web of Science databases. Using pre-specified inclusion criteria, articles were screened and key data were abstracted. Grounded, inductive analysis was conducted to organize studies into meaningful thematic areas.

RESULTS AND DISCUSSION

The search returned 773 unique articles, of which 65 were included in the final review. 15 different countries were represented. Over half of the included studies were published after 2014. Articles were categorized into the following non-mutually exclusive themes: (a) HIV geography, (b) HIV risk factors, and (c) HIV service implementation. Studies demonstrated a broad range of GIS and spatial analysis applications including characterizing geographic distribution of HIV, evaluating risk factors for HIV, and assessing and improving access to HIV care services.

CONCLUSIONS

GIS and spatial analysis have been widely applied to HIV-related research in Africa. The current literature reveals a diversity of themes and methodologies and a relatively young, but rapidly growing, evidence base.

Finding Hidden HIV Clusters to Support Geographic-Oriented HIV Interventions in Kenya

Background:

In a spatially well known and dispersed HIV epidemic, identifying geographic clusters with significantly higher HIV prevalence is important for focusing interventions for people living with HIV (PLHIV).

Methods:

We used Kulldorff spatial-scan Poisson model to identify clusters with high numbers of HIV-infected persons 15–64 years old. We classified PLHIV as belonging to either higher prevalence or lower prevalence (HP/LP) clusters, then assessed distributions of sociodemographic and biobehavioral HIV risk factors and associations with clustering.

Results:

About half of survey locations, 112/238 (47%) had high rates of HIV (HP clusters), with 1.1–4.6 times greater PLHIV adults observed than expected. Richer persons compared with respondents in lowest wealth index had higher odds of belonging to a HP cluster, adjusted odds ratio (aOR) 1.61 [95% confidence interval (CI): 1.13 to 2.3], aOR 1.66 (95% CI: 1.09 to 2.53), aOR 3.2 (95% CI: 1.82 to 5.65), and aOR 2.28 (95% CI: 1.09 to 4.78) in second, middle, fourth, and highest quintiles, respectively. Respondents who perceived themselves to have greater HIV risk or were already HIV-infected had higher odds of belonging to a HP cluster, aOR 1.96 (95% CI: 1.13 to 3.4) and aOR 5.51 (95% CI: 2.42 to 12.55), respectively; compared with perceived low risk. Men who had ever been clients of female sex worker had higher odds of belonging to a HP cluster than those who had never been, aOR 1.47 (95% CI: 1.04 to 2.08); and uncircumcised men vs circumcised, aOR 3.2 (95% CI: 1.74 to 5.8).

Conclusions:

HIV infection in Kenya exhibits localized geographic clustering associated with sociodemographic and behavioral factors, suggesting disproportionate exposure to higher HIV risk. Identification of these clusters reveals the right places for targeting priority-tailored HIV interventions.

Exploring the spatial relationship between primary road distance to antenatal clinics and HIV prevalence in pregnant females of Lilongwe, Malawi

While urbanization in a sub-Saharan African (SSA) context can lead to greater independence in women, various sociological, biological, and geographical factors in urban areas may keep women at a higher risk for HIV than men. Access to major roads during Malawi's transition into rapid urbanization may leave women disproportionately vulnerable to HIV infection. It is not well established whether women who report to health clinics closer to major roads have higher or lower levels of HIV. In this study we explored the spatial heterogeneity of HIV prevalence among pregnant females in Lilongwe District, Malawi. Using Geographic Information Systems, we visually represented patterns of HIV prevalence in relation to primary roads. HIV prevalence data for 2015 were obtained from 44 antenatal clinics (ANC) in Lilongwe District. ANC prevalence data were aggregated to the administrative area and mapped. Euclidean distance between clinics and two primary roads that run through Lilongwe District were measured. A correlation was run to assess the relationship between area-level ANC HIV prevalence and clinic distance to the nearest primary road. ANC HIV prevalence ranged from 0% to 10.3%. Clinic to major road distance ranged from 0.1 to 35 km. Correlation results ( r= -0.622, p = 0.002) revealed a significant negative relationship between clinic distance to primary road and HIV prevalence, indicating that the farther the clinics stood from primary roads, the lower the reported antenatal HIV prevalence. Overall, the clinic catchments through which the major roads run reported higher ANC HIV prevalence. Antenatal HIV prevalence decreases as ANC distance from primary roads increases in Lilongwe, Malawi. As urbanization continues to grow in this region, road distance may serve as a good indicator of HIV burden and help to guide targeted prevention and treatment efforts.

Using multilevel models to evaluate the influence of contextual factors on HIV/AIDS, sexually transmitted infections, and risky sexual behavior in sub-Saharan Africa: a systematic review

PURPOSE

To describe the use of multilevel models (MLMs) in evaluating the influence of contextual factors on HIV/AIDS, sexually transmitted infections (STIs), and risky sexual behavior (RSB) in sub-Saharan Africa.

METHODS

Ten databases were searched through May 29, 2016. Two reviewers completed screening and full-text review. Studies examining the influence of contextual factors on HIV/AIDS, STIs, and RSB and using MLMs for analysis were included. The Quality Assessment Tool for Quantitative Studies was used to evaluate study quality.

RESULTS

A total of 118 studies met inclusion criteria. Seventy-four studies focused on HIV/AIDS-related topics; 46 focused on RSB. No studies related to STIs other than HIV/AIDS met the eligibility criteria. Of five studies examining HIV serostatus and community socioeconomic factors, three found an association between poverty and measures of inequality and increased HIV prevalence. Among studies examining RSB, associations were found with numerous contextual factors, including poverty, education, and gender norms.

CONCLUSIONS

Studies using MLMs indicate that several contextual factors, including community measures of socioeconomic status and educational attainment, are associated with a number of outcomes related to HIV/AIDS and RSB. Future studies using MLMs should focus on contextual-level interventions to strengthen the evidence base for causality.

MSM HIV testing following an online testing intervention in China

BACKGROUND

Scaling up HIV testing is the first step in the HIV treatment continuum which is important for controlling the HIV epidemic among men who have sex with men (MSM). Following an online HIV testing intervention among MSM, we aim to examine sociodemographic and spatial factors associated with HIV testing.

METHODS

We conducted a secondary analysis on data from an online HIV testing intervention among MSM who had never-tested for HIV. The survey was distributed through online networks connected to all provinces and regions of China. Univariate and multivariable analyses were performed to examine factors associated with testing three weeks post-intervention.

RESULTS

At three weeks after the intervention, 36% of 624 followed-up MSM underwent HIV testing, 69 men reported positive HIV test results. Having money for sex, ever tested for sexually transmitted infections and intimate partner violence experience were significant factors of post-intervention HIV testing. Students were less likely to undergo HIV testing at follow-up compared to others (adjusted odds ratio=0.69, 95% C.I.=0.47-0.99), adjusted by age and type of intervention. Moderate provincial spatial variation of testing was observed.

CONCLUSIONS

While high risk men generally had higher HIV testing rates, some MSM like students had lower testing rates, suggesting the need for further ways to enhance HIV testing in specific MSM communities.

How to allocate limited healthcare resources: Lessons from the introduction of antiretroviral therapy in rural Mozambique

Proper allocation of limited healthcare resources is a challenging task for policymakers in developing countries. Allocation of and access to these resources typically varies based on how need is defined, thus determining how individuals access and acquire healthcare. Using the introduction of antiretroviral therapy in southern Mozambique as an example, we examine alternative definitions of need for rural populations and how they might impact the allocation of this vital health service. Our results show that how need is defined matters when allocating limited healthcare resources and the use of need-based metrics can help ensure more optimal distribution of services.

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.

Access to CD4 Testing for Rural HIV Patients: Findings from a Cohort Study in Zimbabwe

Background

CD4 cell count measurement remains an important diagnostic tool for HIV care in developing countries. Insufficient laboratory capacity in rural Sub-Saharan Africa is frequently mentioned but data on the impact at an individual patient level are lacking. Urban-rural discrepancies in CD4 testing have not been quantified to date. Such evidence is crucial for public health planning and to justify new yet more expensive diagnostic procedures that could circumvent access constraints in rural areas.

Objective

To compare CD4 testing among rural and urban HIV patients during the first year of treatment.

Methods

Records from 2,145 HIV positive adult patients from a Médecins sans Frontières (Doctors without Borders) HIV project in Beitbridge, Zimbabwe, during 2011 and 2012 were used for a retrospective cohort analysis. Covariate-adjusted risk ratios were calculated to estimate the effects of area of residence on CD4 testing at treatment initiation, six and 12 months among rural and urban patients.

Findings

While the proportion of HIV patients returning for medical consultations at six and 12 months decreased at a similar rate in both patient groups, CD4 testing during consultations dropped to 21% and 8% for urban, and 2% and 1% for rural patients at six and 12 months, respectively. Risk ratios for missing CD4 testing were 0.8 (95% CI 0.7-0.9), 9.2 (95% CI 5.5-15.3), and 7.6 (95% 3.7-17.1) comparing rural versus urban patients at treatment initiation, six and 12 months, respectively.

Conclusions

CD4 testing was low overall, and particularly poor in rural patients. Difficulties with specimen transportation were probably a major factor underlying this difference and requires new diagnostic approaches. Our findings point to severe health system constraints in providing CD4 testing overall that need to be addressed if effective monitoring of HIV patients is to be achieved, whether by alternative CD4 diagnostics or newly-recommended routine viral load testing.