Exploring the use of social network analysis to measure communication between disease programme and district managers at sub-national level in South Africa. (June 2015)

• Record Type: Journal Article
• Authors: Kawonga, Mary; Blaauw, Duane; Fonn, Sharon
• Is Part Of: Social science & medicine. Volume 135(2015)
• Page Start: 1
• Page End: 14
• Publication Date: 2015-06
• Subjects: South Africa -- Disease control programme -- Decentralisation -- District -- Health system -- Administrative integration -- Monitoring and evaluation -- Social network analysis; Social medicine -- Periodicals; Medical anthropology -- Periodicals; Public health -- Periodicals; Psychology -- Periodicals; Medicine -- Periodicals; Medicine -- Periodicals; Médecine sociale -- Périodiques; Anthropologie médicale -- Périodiques; Santé publique -- Périodiques; Psychologie -- Périodiques; Médecine -- Périodiques; Electronic journals; 362.105
• DOI: 10.1016/j.socscimed.2015.04.024
• Languages: English
• ISSNs: 0277-9536

Abstract

Abstract: With increasing interest in maximising synergies between disease control programmes (DCP) and general health services (GHS), methods are needed to measure interactions between DCP and GHS actors. In South Africa, administrative integration reforms make GHS managers at decentralised level (district managers) responsible for the oversight of DCP operations within districts, with DCP managers (programme managers) providing specialist support. The reforms necessitate interdependence, but these actors work together ineffectively. Communication is crucial for joint working, but no research to assess communication between these actors has been done. This study explores the use of social network analysis (SNA) to measure the extent to which programme and district managers in South Africa communicate, using HIV monitoring and evaluation (M&E) as an exemplar. Data were collected from fifty one managers in two provinces during 2010–2011, to measure: a) one-on-one task-related communication – talking about the collation (verification, reporting) and use of HIV data for monitoring HIV interventions; and b) group communication through co-participating in management committees where HIV data are used for monitoring HIV interventions in districts. SNA measures were computed to describe actor centrality, network density (cohesion), and communication within and between respective manager groups. Block modelling was applied to identify management committees that connect respective manager groups. Results show HIV programme managers located at higher level communicated largely amongst themselves as a group (homophily), seldom talked to the district managers to whom they are supposed to provide specialist HIV M&E support, and rarely participated with them in management committees. This research demonstrates the utility of SNA as a tool for measuring the extent of communication between DCP and GHS actors at sub-national level. Actions are needed to bridge observed communication gaps in order to promote collaborative monitoring of HIV programme interventions within districts. Highlights: Assesses degree to which programme and district managers collaborate in South Africa. Makes novel use of social network analysis to explore communication on HIV monitoring. Shows weak communication regarding data use for HIV programme monitoring in districts. Provides quantifiable measures of communication that can be compared across districts. Identifies potential interventions to promote collaborative HIV programme monitoring.