1. Understanding mSOS: A qualitative study examining the implementation of a text-messaging outbreak alert system in rural Kenya
- Author
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David Kareko, Kouichi Morita, Ian Njeru, Shikanga O-Tipo, Matilu Mwau, Mitsuru Toda, Dejan Zurovac, and Rees, JR
- Subjects
Rural Population ,Viral Diseases ,Epidemiology ,Health Care Providers ,lcsh:Medicine ,Nurses ,Disease Outbreaks ,Geographical Locations ,0302 clinical medicine ,Medicine and Health Sciences ,Public and Occupational Health ,030212 general & internal medicine ,lcsh:Science ,Qualitative Research ,Disease surveillance ,Multidisciplinary ,030503 health policy & services ,Rural health ,Public relations ,Qualitative Studies ,3. Good health ,Professions ,Infectious Diseases ,Social system ,Research Design ,Engineering and Technology ,Public Health ,0305 other medical science ,Research Article ,Neglected Tropical Diseases ,medicine.medical_specialty ,Equipment ,Context (language use) ,Disease Surveillance ,Research and Analysis Methods ,Ebola Hemorrhagic Fever ,03 medical and health sciences ,medicine ,Humans ,Communication Equipment ,Viral Hemorrhagic Fevers ,Text Messaging ,business.industry ,Public health ,lcsh:R ,Communication in Health Care ,Tropical Diseases ,Kenya ,Health Care ,Intervention (law) ,People and Places ,Africa ,Optometry ,lcsh:Q ,Population Groupings ,Business ,Health Facilities ,Cell Phones ,Qualitative research - Abstract
Outbreaks of epidemic diseases pose serious public health risks. To overcome the hurdles of sub-optimal disease surveillance reporting from the health facilities to relevant authorities, the Ministry of Health in Kenya piloted mSOS (mobile SMS-based disease outbreak alert system) in 2013±2014. In this paper, we report the results of the qualitative study, which examined factors that influence the performances of mSOS implementation. In-depth interviews were conducted with 11 disease surveillance coordinators and 32 in-charges of rural health facilities that took part in the mSOS intervention. Drawing from the framework analysis, dominant themes that emerged from the interviews are presented. All participants voiced their excitement in using mSOS. The results showed that the technology was well accepted, easy to use, and both health workers and managers unanimously recommended the scale-up of the system despite challenges encountered in the implementation processes. The most challenging components were the context in which mSOS was implemented, including the lack of strong existing structure for continuous support supervision, feedback and response action related to disease surveillance. The study revealed broader health systems issues that should be addressed prior to and during the intervention scaleup., PLOS ONE, 12(6), e0179408; 2017
- Published
- 2017