Using participatory mapping to inform a community-randomized trial of HIV counseling and testing

Exploring the Impact of Mining on Community Health and Health Service Delivery: Perceptions of Key Informants Involved in Gold Mining Communities in Burkina Faso

Sub-Saharan Africa is rich in natural resources but also faces widespread poverty. The United Nations' Sustainable Development Goals brought increased attention to resource extraction projects, emphasizing their development potential in extraction regions. While mining companies are required to conduct environmental impact assessments, their effect on the project-affected communities' health mostly lacks systematic management, and their consideration of community perspectives is insufficient. Between March and May 2019, qualitative research was conducted at three industrial gold mines in Burkina Faso. Thirty-six participants, including community leaders, healthcare providers, and mining officials, were interviewed through key informant interviews about their perceptions on the impacts of mining operations on health, health determinants, and health service delivery. Disparities in perceptions were a key focus of the analysis. Mining officials reported mainly positive effects, while healthcare providers and community leaders described enhancing and adverse health impacts without clear trends observed regarding the extent of the impacts on health determinants. The perception of predominantly positive health impacts by mining officials represents a potential risk for insufficient acknowledgement of stakeholders' concerns and mining-related effects on community health in affected populations. Overall, this study enhances comprehension of the complex interplay between mining operations and health, emphasizing the need for comprehensive assessments, stakeholder involvement, and sustainable practices to mitigate negative impacts and promote the well-being of mining communities.

Participatory mapping identifies risk areas and environmental predictors of endemic anthrax in rural Africa

Disease mapping reveals geographical variability in incidence, which can help to prioritise control efforts. However, in areas where this is most needed, resources to generate the required data are often lacking. Participatory mapping, which makes use of indigenous knowledge, is a potential approach to identify risk areas for endemic diseases in low- and middle-income countries. Here we combine this method with Geographical Information System-based analyses of environmental variables as a novel approach to study endemic anthrax, caused by the spore-forming bacterium Bacillus anthracis, in rural Africa. Our aims were to: (1) identify high-risk anthrax areas using community knowledge; (2) enhance our understanding of the environmental characteristics associated with these areas; and (3) make spatial predictions of anthrax risk. Community members from the Ngorongoro Conservation Area (NCA), northern Tanzania, where anthrax is highly prevalent in both animals and humans, were asked to draw areas they perceived to pose anthrax risks to their livestock on geo-referenced maps. After digitisation, random points were generated within and outside the defined areas to represent high- and low-risk areas, respectively. Regression analyses were used to identify environmental variables that may predict anthrax risk. Results were combined to predict how the probability of being a high-risk area for anthrax varies across space. Participatory mapping identified fourteen discrete high-risk areas ranging from 0.2 to 212.9 km² in size and occupying 8.4% of the NCA. Areas that pose a high risk of anthrax were positively associated with factors that increase contact with Bacillus anthracis spores rather than those associated with the pathogen's survival: close proximity to inland water bodies, where wildlife and livestock congregate, and low organic carbon content, which may indicate an increased likelihood of animals grazing close to soil surface and ingesting spores. Predicted high-risk areas were located in the centre of the NCA, which is likely to be encountered by most herds during movements in search for resources. We demonstrate that participatory mapping combined with spatial analyses can provide novel insights into the geography of disease risk. This approach can be used to prioritise areas for control in low-resource settings, especially for diseases with environmental transmission.

Patient and public involvement in health research in low and middle-income countries: a systematic review

OBJECTIVES

Patient and public involvement (PPI) is argued to lead to higher quality health research, which is more relatable to and helps empower the public. We synthesised the evidence to look for examples of PPI in health research in low/middle-income countries (LMICs), looking at levels of involvement and impact. Additionally, we considered the impact of who was undertaking the research on the level of involvement and reported impact.

DESIGN

Systematic review.

DATA SOURCES

EMBASE, Medline and PsychINFO, along with hand-searching references, grey literature, Google search and expert advice.

ELIGIBILITY CRITERIA

Any health research with evidence of patient or public involvement, with no language restrictions dated from 1978 to 1 Dec 2017.

DATA EXTRACTION AND SYNTHESIS

Data relating to stage and level of involvement, as well as impact, were extracted by one researcher (NC), and a coding framework was developed using an inductive approach to examine the impact of PPI on research. Extracted data were then independently coded by a second lay researcher (RK) to validate the data being collected. Discrepancies were referred to a third independent reviewer (MT) for review and consensus reached.

RESULTS

Sixty-two studies met the inclusion criteria. The review revealed the most common stage for PPI was in research planning, and the most common level of involvement was collaboration. Most studies did not provide evidence of effectiveness or elaborate on the impact of PPI, and they tended to report impact from the researcher's perspective. Where impact was mentioned, this generally related to increased relevance to the community, empowerment of participants and alterations in study design.

CONCLUSIONS

The literature describing approaches to and impact of PPI on LMIC health research is sparse. As PPI is essential to conducting high-quality research, it should be fully reported and evaluated at the end of the research project.

HIV Research with Men who Have Sex with Men (MSM): Advantages and Challenges of Different Methods for Most Appropriately Targeting a Key Population

The difficulty in accessing hard-to-reach populations as men who have sex with men presents a dilemma for HIV surveillance as their omission from surveillance systems leaves significant gaps in our understanding of HIV/AIDS epidemics. Several methods for recruiting difficult-to-access populations and collecting data on trends of HIV prevalence and behavioural factors for surveillance and research purposes have emerged. This paper aims to critically review different sampling approaches, from chain-referral and venue-based to respondent-driven, time-location and internet sampling methods, focusing on its main advantages and challenges for conducting HIV research among key populations, such as men who have sex with men. The benefits of using these approaches to recruit participants must be weighed against privacy concerns inherent in any social situation or health condition. Nevertheless, the methods discussed in this paper represent some of the best efforts to effectively reach most-at-risk subgroups of men who have sex with men, contributing to obtain unbiased trends of HIV prevalence and HIV-related risk behaviours among this population group.

Crowdsourcing Vector Surveillance: Using Community Knowledge and Experiences to Predict Densities and Distribution of Outdoor-Biting Mosquitoes in Rural Tanzania

Lack of reliable techniques for large-scale monitoring of disease-transmitting mosquitoes is a major public health challenge, especially where advanced geo-information systems are not regularly applicable. We tested an innovative crowd-sourcing approach, which relies simply on knowledge and experiences of residents to rapidly predict areas where disease-transmitting mosquitoes are most abundant. Guided by community-based resource persons, we mapped boundaries and major physical features in three rural Tanzanian villages. We then selected 60 community members, taught them basic map-reading skills, and offered them gridded maps of their own villages (grid size: 200m×200m) so they could identify locations where they believed mosquitoes were most abundant, by ranking the grids from one (highest density) to five (lowest density). The ranks were interpolated in ArcGIS-10 (ESRI-USA) using inverse distance weighting (IDW) method, and re-classified to depict areas people believed had high, medium and low mosquito densities. Finally, we used odor-baited mosquito traps to compare and verify actual outdoor mosquito densities in the same areas. We repeated this process for 12 months, each time with a different group of 60 residents. All entomological surveys depicted similar geographical stratification of mosquito densities in areas classified by community members as having high, medium and low vector abundance. These similarities were observed when all mosquito species were combined, and also when only malaria vectors were considered. Of the 12,412 mosquitoes caught, 60.9% (7,555) were from areas considered by community members as having high mosquito densities, 28% (3,470) from medium density areas, and 11.2% (1,387) from low density areas. This study provides evidence that we can rely on community knowledge and experiences to identify areas where mosquitoes are most abundant or least abundant, even without entomological surveys. This crowd-sourcing method could be further refined and validated to improve community-based planning of mosquito control operations at low-cost.

Exploring the Impact of Childhood Abuse on HIV Social and Attitudinal Factors Among Adults With and Without this History in Sub-Saharan Africa: Findings from NIMH Project Accept (HPTN 043)

Using data from four sites in three African countries, this community randomized study examined the association between childhood sexual and/or physical abuse (CSA and/or CPA) and HIV disclosure, HIV-related stigma, stress, and social support among adults with and without a history of abuse. A history of abuse among men was associated with higher levels of adult-reported stress and HIV-related stigma, and with significantly lower rates of HIV test result disclosure to current partners. Women with a history of CSA and/or CPA had significantly higher perceived stigma, discrimination and stress. Although childhood abuse was significantly associated with adult stress and stigmatization, participants with histories of CSA and/or CPA also reported significantly higher perceived social support compared to people without such experiences. These findings may reflect support received in response to disclosure of CSA or CPA or emotional ambivalence in relationships that have been found to be associated with child abuse. We conclude that it is critical for HIV prevention interventions to advocate for the primary prevention of child abuse, for early identification of adolescents and adults who report experiencing childhood abuse, and to address stigma and stress-related attitudinal, behavioral and relationship difficulties experiences as an aftermath of early abuse that increase their risk of HIV.

Effect of community-based voluntary counselling and testing on HIV incidence and social and behavioural outcomes (NIMH Project Accept; HPTN 043): a cluster-randomised trial

BACKGROUND

Although several interventions have shown reduced HIV incidence in clinical trials, the community-level effect of effective interventions on the epidemic when scaled up is unknown. We investigated whether a multicomponent, multilevel social and behavioural prevention strategy could reduce HIV incidence, increase HIV testing, reduce HIV risk behaviour, and change social and behavioural norms.

METHODS

For this phase 3 cluster-randomised controlled trial, 34 communities in four sites in Africa and 14 communities in Thailand were randomly allocated in matched pairs to receive 36 months of community-based voluntary counselling and testing for HIV (intervention group) or standard counselling and testing alone (control group) between January, 2001, and December, 2011. The intervention was designed to make testing more accessible in communities, engage communities through outreach, and provide support services after testing. Randomisation was done by a computer-generated code and was not masked. Data were collected at baseline (n=14 567) and after intervention (n=56.683) by cross-sectional random surveys of community residents aged 18-32 years. The primary outcome was HIV incidence and was estimated with a cross-sectional multi-assay algorithm and antiretroviral drug screening assay. Thailand was excluded from incidence analyses because of low HIV prevalence. This trial is registered at ClinicalTrials.gov, number NCT00203749.

FINDINGS

The estimated incidence of HIV in the intervention group was 1.52% versus 1.81% in the control group with an estimated reduction in HIV incidence of 13.9% (relative risk [RR] 0.86, 95% CI 0.73-1.02; p=0.082). HIV incidence was significantly reduced in women older than 24 years (RR=0.70, 0.54-0.90; p=0.0085), but not in other age or sex subgroups. Community-based voluntary counselling and testing increased testing rates by 25% overall (12-39; p=0.0003), by 45% (25-69; p<0·0001) in men and 15% (3-28; p=0.013) in women. No overall effect on sexual risk behaviour was recorded. Social norms regarding HIV testing were improved by 6% (95% CI 3-9) in communities in the intervention group.

INTERPRETATION

These results are sufficiently robust, especially when taking into consideration the combined results of modest reductions in HIV incidence combined with increases in HIV testing and reductions in HIV risk behaviour, to recommend the Project Accept approach as an integral part of all interventions (including treatment as prevention) to reduce HIV transmission at the community level.

FUNDING

US National Institute of Mental Health, the Division of AIDS of the US National Institute of Allergy and Infectious Diseases, and the Office of AIDS Research of the US National Institutes of Health.

Looking to the future: South African men and women negotiating HIV risk and relationship intimacy

This paper examines the approaches heterosexual men and women in South Africa use to engage their partners in discussions of HIV and risk factors in their relationships. These strategies entail balancing the risks of infection while managing the challenges of maintaining a relationship. In a context in which there is a great deal of insecurity in relationships it is especially challenging to discuss HIV risks with partners. Our findings reveal that concerns about children or the desire to have children provided a legitimate basis for discussing HIV risk with partners. The focus of these discussions is on the future for their children. Research in South Africa should attend to men's and women's desires to have and to raise children. HIV prevention and treatment programmes can capitalise on concerns regarding children, and the future of the family, to engage men and women in discussing mutually acceptable strategies for preventing infection and ensuring safe conception.

Enabling methods for community health mapping in developing countries

BACKGROUND

Spatial epidemiology is useful but difficult to apply in developing countries due to the low availability of digitized maps and address systems, accurate population distributions, and computational tools. A community-based mapping approach was used to demonstrate that participatory geographic information system (PGIS) techniques can provide information helpful for health and community development.

RESULTS

The PGIS process allowed for the rapid determination of sectional (neighborhood) boundaries within the city of Bo, Sierra Leone. When combined with data about hospital laboratory visits, a catchment area for one hospital in Bo could be established. A survey of households from within the catchment area determined that the average population per household (about 6 individuals) was similar to that found in the 2004 census. However, we also found that the average house was inhabited by more than one household, for an average of 17.5 inhabitants per residential building, which is critical information to know when estimating population size using remote imagery that can detect and enumerate buildings.

CONCLUSIONS

The methods developed in this paper serve as a model for the involvement of communities in the generation of municipal maps and their application to community and health concerns.