Notifiable disease reporting among public sector physicians in Nigeria: a cross-sectional survey to evaluate possible barriers and identify best sources of information

BMC Health Services Research
(Accessed 15 November 2014)
http://www.biomedcentral.com/bmchealthservres/content

Research article
Notifiable disease reporting among public sector physicians in Nigeria: a cross-sectional survey to evaluate possible barriers and identify best sources of information
Kathryn E Lafond1*, Ibrahim Dalhatu2, Vivek Shinde1, Ekanem E Ekanem3, Saidu Ahmed3, Patrick Peebles1, Mwenda Kudumu4, Milele Bynum4, Kabiru Salami4, Joseph Okeibunor4, Pamela Schwingl4, Anthony Mounts15, Abdulsalami Nasidi6 and Diane Gross1
Author Affiliations
BMC Health Services Research 2014, 14:568 doi:10.1186/s12913-014-0568-3
Published: 13 November 2014
Abstract (provisional)
Background
Since 2001, Nigeria has collected information on epidemic-prone and other diseases of public health importance through the Integrated Disease Surveillance and Response system (IDSR). Currently 23 diseases are designated as ?notifiable? through IDSR, including human infection with avian influenza (AI). Following an outbreak of highly pathogenic avian influenza A(H5N1) in Nigerian poultry populations in 2006 and one laboratory confirmed human infection in 2007, a study was carried out to describe knowledge, perceptions, and practices related to infectious disease reporting through the IDSR system, physicians? preferred sources of heath information, and knowledge of AI infection in humans among public sector physicians in Nigeria.
Methods
During November to December 2008, 245 physicians in six Nigerian cities were surveyed through in-person interviews. Survey components included reporting practices for avian influenza and other notifiable diseases, perceived obstacles to disease reporting, methods for obtaining health-related information, and knowledge of avian influenza among participating physicians.
Results
All 245 respondents reported that they had heard of AI and that humans could become infected with AI. Two-thirds (163/245) had reported a notifiable disease. The most common perceived obstacles to reporting were lack of infrastructure/logistics or reporting system (76/245, 31%), lack of knowledge among doctors about how to report or to whom to report (64/245, 26%), and that doctors should report certain infectious diseases (60/245, 24%). Almost all participating physicians (>99%) reported having a cell phone that they currently use, and 86% reported using the internet at least weekly.
Conclusions
Although the majority of physicians surveyed were knowledgeable of and had reported notifiable diseases, they identified many perceived obstacles to reporting. In order to effectively identify human AI cases and other infectious diseases through IDSR, reporting system requirements need to be clearly communicated to participating physicians, and perceived obstacles, such as lack of infrastructure, need to be addressed. Future improvements to the reporting system should account for increased utilization of the internet, as well as cell phone and email-based communication.