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

Overview of attention for article published in BMC Health Services Research, November 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 news outlet
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4 X users

Citations

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20 Dimensions

Readers on

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142 Mendeley
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Title
Notifiable disease reporting among public sector physicians in Nigeria: a cross-sectional survey to evaluate possible barriers and identify best sources of information
Published in
BMC Health Services Research, November 2014
DOI 10.1186/s12913-014-0568-3
Pubmed ID
Authors

Kathryn E Lafond, Ibrahim Dalhatu, Vivek Shinde, Ekanem E Ekanem, Saidu Ahmed, Patrick Peebles, Mwenda Kudumu, Milele Bynum, Kabiru Salami, Joseph Okeibunor, Pamela Schwingl, Anthony Mounts, Abdulsalami Nasidi, Diane Gross

Abstract

BackgroundSince 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.MethodsDuring 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.ResultsAll 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.ConclusionsAlthough 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 1 <1%
Unknown 141 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 20%
Researcher 23 16%
Student > Ph. D. Student 19 13%
Student > Postgraduate 16 11%
Student > Doctoral Student 7 5%
Other 18 13%
Unknown 31 22%
Readers by discipline Count As %
Medicine and Dentistry 47 33%
Nursing and Health Professions 14 10%
Social Sciences 13 9%
Agricultural and Biological Sciences 4 3%
Engineering 4 3%
Other 26 18%
Unknown 34 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 April 2023.
All research outputs
#2,949,379
of 23,596,168 outputs
Outputs from BMC Health Services Research
#1,298
of 7,857 outputs
Outputs of similar age
#34,731
of 259,941 outputs
Outputs of similar age from BMC Health Services Research
#20
of 143 outputs
Altmetric has tracked 23,596,168 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,857 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 259,941 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.