Using social networking to understand social networks: analysis of a mobile phone closed user group used by a Ghanaian health team.

Simple item page
dc.contributor.authorKaonga, Nadi Nina
dc.contributor.authorLabrique, Alain
dc.contributor.authorMechael, Patricia
dc.contributor.authorAkosah, Eric
dc.contributor.authorOhemeng-Dapaah, Seth
dc.contributor.authorSakyi Baah, Joseph
dc.contributor.authorKodie, Richmond
dc.contributor.authorKanter, Andrew S
dc.contributor.authorLevine, Orin
dc.date.accessioned2020-02-06T17:30:15Z
dc.date.available2020-02-06T17:30:15Z
dc.date.issued2013-04-04
dc.description.abstractBACKGROUND The network structure of an organization influences how well or poorly an organization communicates and manages its resources In the Millennium Villages Project site in Bonsaaso Ghana a mobile phone closed user group has been introduced for use by the Bonsaaso Millennium Villages Project Health Team and other key individuals No assessment on the benefits or barriers of the use of the closed user group had been carried out OBJECTIVE The purpose of this research was to make the case for the use of social network analysis methods to be applied in health systems research specifically related to mobile health METHODS This study used mobile phone voice records of conducted interviews with and reviewed call journals kept by a mobile phone closed user group consisting of the Bonsaaso Millennium Villages Project Health Team Social network analysis methodology complemented by a qualitative component was used Monthly voice data of the closed user group from Airtel Bharti Ghana were analyzed using UCINET and visual depictions of the network were created using NetDraw Interviews and call journals kept by informants were analyzed using NVivo RESULTS The methodology was successful in helping identify effective organizational structure Members of the Health Management Team were the more central players in the network rather than the Community Health Nurses who might have been expected to be central CONCLUSIONS Social network analysis methodology can be used to determine the most productive structure for an organization or team identify gaps in communication identify key actors with greatest influence and more In conclusion this methodology can be a useful analytical tool especially in the context of mobile health health services and operational and managerial research
dc.identifier.urihttp://dx.doi.org/10.2196/jmir.2332
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/5218
dc.relation.uriJournal of medical Internet research
dc.subjectFacility-based health worker
dc.subjectWorkflow management
dc.subjectEfficiency
dc.subjectCommunication roadblocks
dc.subjectAccess to information or data
dc.subjectPilot
dc.subjectEfficacy
dc.subjectClosed User Group
dc.subjectChat / Discussion Community
dc.subjectAudio
dc.subjectVoice
dc.subjectProvider work planning and scheduling
dc.titleUsing social networking to understand social networks: analysis of a mobile phone closed user group used by a Ghanaian health team.en
dcterms.abstractBACKGROUND The network structure of an organization influences how well or poorly an organization communicates and manages its resources In the Millennium Villages Project site in Bonsaaso Ghana a mobile phone closed user group has been introduced for use by the Bonsaaso Millennium Villages Project Health Team and other key individuals No assessment on the benefits or barriers of the use of the closed user group had been carried out OBJECTIVE The purpose of this research was to make the case for the use of social network analysis methods to be applied in health systems research specifically related to mobile health METHODS This study used mobile phone voice records of conducted interviews with and reviewed call journals kept by a mobile phone closed user group consisting of the Bonsaaso Millennium Villages Project Health Team Social network analysis methodology complemented by a qualitative component was used Monthly voice data of the closed user group from Airtel Bharti Ghana were analyzed using UCINET and visual depictions of the network were created using NetDraw Interviews and call journals kept by informants were analyzed using NVivo RESULTS The methodology was successful in helping identify effective organizational structure Members of the Health Management Team were the more central players in the network rather than the Community Health Nurses who might have been expected to be central CONCLUSIONS Social network analysis methodology can be used to determine the most productive structure for an organization or team identify gaps in communication identify key actors with greatest influence and more In conclusion this methodology can be a useful analytical tool especially in the context of mobile health health services and operational and managerial research
dcterms.contributorKaonga, Nadi Nina
dcterms.contributorLabrique, Alain
dcterms.contributorMechael, Patricia
dcterms.contributorAkosah, Eric
dcterms.contributorOhemeng-Dapaah, Seth
dcterms.contributorSakyi Baah, Joseph
dcterms.contributorKodie, Richmond
dcterms.contributorKanter, Andrew S
dcterms.contributorLevine, Orin
dcterms.identifierhttp://dx.doi.org/10.2196/jmir.2332
dcterms.relationJournal of medical Internet research
dcterms.subjectFacility-based health worker
dcterms.subjectWorkflow management
dcterms.subjectEfficiency
dcterms.subjectCommunication roadblocks
dcterms.subjectAccess to information or data
dcterms.subjectPilot
dcterms.subjectEfficacy
dcterms.subjectClosed User Group
dcterms.subjectChat / Discussion Community
dcterms.subjectAudio
dcterms.subjectVoice
dcterms.subjectProvider work planning and scheduling
dcterms.titleUsing social networking to understand social networks: analysis of a mobile phone closed user group used by a Ghanaian health team.en
Files
Collections
mhealth Evidence