'Searching for a "generalized social agent" to predict Namibians' intentions to prevent sexual transmission of HIV

Testing theoretical network classes and HIV-related correlates with latent class analysis

Scientists designing network-based interventions intending to improve the adoption or maintenance of healthy behaviors are well-advised to classify potential adopters into network roles, such as opinion leaders, brokers, members, and isolates, and to work closely with existing opinion leaders. In past studies focusing on HIV, opinion-leader interventions have had mixed results. This may be addressed, in part, by empirically validating these network roles. To this end, we used latent class analysis to test whether people's social connections fall into mutually exclusive and exhaustive subgroups of social capital that represent theorized network roles well with a dataset collected in Nyangana, Namibia (n = 400). A four-class model best fits the dataset, but the categories identified do not clearly represent the theorized roles. Rather, this study revealed the following four network classes: single-group members (59%), connectors (24%), single-group loyalists (15%), and selective connectors (2%). The implications of their findings for opinion-leader interventions focused on HIV are discussed.

Sharing experiences and dilemmas of conducting focus group discussions on HIV and tuberculosis in resource-poor settings

Focus group discussions (FGD) are gaining in popularity in research on HIV and tuberculosis (TB) internationally as researchers seek to understand the experiences, needs and perspectives of people living with TB and/or HIV as well as their carers within the community and health sector. Conducting FGDs in resource-poor settings with vulnerable participants who are living with diseases that are frequently stigmatised poses multiple challenges. Our approach in this discussion paper is to follow the research cycle to present the practical experience of research teams using FGDs in TB and HIV in resource-poor contexts in Africa and Asia in order to contribute to effective practice. The approach highlights dilemmas and shares effective practice for negotiating initial discussions with different communities, constructing sampling frames and samples, choosing a facilitator, encouraging discussion, ethics, translation, pitfalls and dissemination. We demonstrate the techniques and adaptations needed to ensure that FGDs provide rich, high-quality and policy-relevant data on the voices and perspectives of people living with HIV and TB, community groups and health workers within the challenges of resource-poor settings. In applying theory to develop good practice in FGDs across the research cycle, a critical and reflexive approach is needed.