The role of supportive supervision using mobile technology in monitoring and guiding program performance: a case study in Nigeria, 2015–2016

• Main Authors: Sisay G. Tegegne, Faisal Shuaib, Fiona Braka, Pascal Mkanda, Tesfaye B. Erbeto, Aron Aregay, Oyaole D. Rasheed, Akpan G. Ubong, Njie Alpha, Ahmed Khedr, Mirghani A. Isameldin, Yared G. Yehushualet, Charity Warigon, Usman Adamu, Eunice Damisa, Bassey Okposen, Peter Nsubuga, Rui G. Vaz, Wondimagegnehu Alemu
• Format: Article
• Language: English
• Published: BMC 2018-12-01
• Series: BMC Public Health
• Subjects: Real-time data; Supportive supervision; Timely feedback; Health facility distance
• Online Access: http://link.springer.com/article/10.1186/s12889-018-6189-8

Abstract Background Supportive supervision is one of the interventions that fosters program improvement by way of imparting knowledge and skills to health workers. The basic challenge in supportive supervision is the availability of data in real time for timely and effective feedback. Thus, the main objective of this study was to determine the contribution of real-time data collection during supportive supervision for timely feedback and generation of evidence for health intervention planning. Methods We analyzed supportive supervision records collected through handheld devices employing the open data kit (ODK) platform from July 2015 to June 2016. Supervision was conducted across the country by 592 World Health Organization (WHO) officers. The availability of real-time data and the distance of health facilities to the community were analyzed. Results During the study period, 90,396 health facilities were supervised. The average time spent during supervision varied from 1.53 to 3.78 h across the six geopolitical zones of the country. The average interval between completion of the supervisory checklist and synchronization with the server varied from 3.9 h to 7.5 h. The average distance between the health facility and a ward varied from 5 to 24 km. Conclusion The use of handheld devices for supportive supervision provided real-time data from health facilities to state and zonal levels for analysis and feedback. Program officers used the findings to rectify process indicators in time for a better outcome.